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Systemic Corticosteroids in Critically Ill Patients With COVID-19
Study Overview
Objective. To assess the association between administration of systemic corticosteroids, compared with usual care or placebo, and 28-day all-cause mortality in critically ill patients with coronavirus disease 2019 (COVID-19).
Design. Prospective meta-analysis with data from 7 randomized clinical trials conducted in 12 countries.
Setting and participants. This prospective meta-analysis included randomized clinical trials conducted between February 26, 2020, and June 9, 2020, that examined the clinical efficacy of administration of corticosteroids in hospitalized COVID-19 patients who were critically ill. Trials were systematically identified from ClinicalTrials.gov, the Chinese Clinical Trial Registry, and the EU Clinical Trials Register, using the search terms COVID-19, corticosteroids, and steroids. Additional trials were identified by experts from the WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group. Senior investigators of these identified trials were asked to participate in weekly calls to develop a protocol for the prospective meta-analysis.1 Subsequently, trials that had randomly assigned critically ill patients to receive corticosteroids versus usual care or placebo were invited to participate in this meta-analysis. Data were pooled from patients recruited to the participating trials through June 9, 2020, and aggregated in overall and in predefined subgroups.
Main outcome measures. The primary outcome was all-cause mortality up to 30 days after randomization. Because 5 of the included trials reported mortality at 28 days after randomization, the primary outcome was reported as 28-day all-cause mortality. The secondary outcome was serious adverse events (SAEs). The authors also gathered data on the demographic and clinical characteristics of patients, the number of patients lost to follow-up, and outcomes according to intervention group, overall, and in subgroups (ie, patients receiving invasive mechanical ventilation or vasoactive medication; age ≤ 60 years or > 60 years [the median across trials]; sex [male or female]; and the duration patients were symptomatic [≤ 7 days or > 7 days]). For each trial, the risk of bias was assessed independently by 4 investigators using the Cochrane Risk of Bias Assessment Tool for the overall effects of corticosteroids on mortality and SAEs and the effect of assignment and allocated interventions. Inconsistency between trial results was evaluated using the I2 statistic. The trials were classified according to the corticosteroids used in the intervention group and the dose administered using a priori-defined cutoffs (15 mg/day of dexamethasone, 400 mg/day of hydrocortisone, and 1 mg/kg/day of methylprednisolone). The primary analysis utilized was an inverse variance-weighted fixed-effect meta-analysis of odds ratios (ORs) for overall mortality. Random-effects meta-analyses with Paule-Mandel estimate of heterogeneity were also performed.
Main results. Seven trials (DEXA-COVID 19, CoDEX, RECOVERY, CAPE COVID, COVID STEROID, REMAP-CAP, and Steroids-SARI) were included in the final meta-analysis. The enrolled patients were from Australia, Brazil, Canada, China, Denmark, France, Ireland, the Netherlands, New Zealand, Spain, the United Kingdom, and the United States. The date of final follow-up was July 6, 2020. The corticosteroids groups included dexamethasone at low (6 mg/day orally or intravenously [IV]) and high (20 mg/day IV) doses; low-dose hydrocortisone (200 mg/day IV or 50 mg every 6 hr IV); and high-dose methylprednisolone (40 mg every 12 hr IV). In total, 1703 patients were randomized, with 678 assigned to the corticosteroids group and 1025 to the usual-care or placebo group. The median age of patients was 60 years (interquartile range, 52-68 years), and 29% were women. The larger number of patients in the usual-care/placebo group was a result of the 1:2 randomization (corticosteroids versus usual care or placebo) in the RECOVERY trial, which contributed 59.1% of patients included in this prospective meta-analysis. The majority of patients were receiving invasive mechanical ventilation at randomization (1559 patients). The administration of adjunctive treatments, such as azithromycin or antiviral agents, varied among the trials. The risk of bias was determined as low for 6 of the 7 mortality results.
A total of 222 of 678 patients in the corticosteroids group died, and 425 of 1025 patients in the usual care or placebo group died. The summary OR was 0.66 (95% confidence interval [CI], 0.53-0.82; P < 0.001) based on a fixed-effect meta-analysis, and 0.70 (95% CI, 0.48-1.01; P = 0.053) based on the random-effects meta-analysis, for 28-day all-cause mortality comparing all corticosteroids with usual care or placebo. There was little inconsistency between trial results (I2 = 15.6%; P = 0.31). The fixed-effect summary OR for the association with 28-day all-cause mortality was 0.64 (95% CI, 0.50-0.82; P < 0.001) for dexamethasone compared with usual care or placebo (3 trials, 1282 patients, and 527 deaths); the OR was 0.69 (95% CI, 0.43-1.12; P = 0.13) for hydrocortisone (3 trials, 374 patients, and 94 deaths); and the OR was 0.91 (95% CI, 0.29-2.87; P = 0.87) for methylprednisolone (1 trial, 47 patients, and 26 deaths). Moreover, in trials that administered low-dose corticosteroids, the overall fixed-effect OR for 28-day all-cause mortality was 0.61 (95% CI, 0.48-0.78; P < 0.001). In the subgroup analysis, the overall fixed-effect OR was 0.69 (95% CI, 0.55-0.86) in patients who were receiving invasive mechanical ventilation at randomization, and the OR was 0.41 (95% CI, 0.19-0.88) in patients who were not receiving invasive mechanical ventilation at randomization.
Six trials (all except the RECOVERY trial) reported SAEs, with 64 events occurring among 354 patients assigned to the corticosteroids group and 80 SAEs occurring among 342 patients assigned to the usual-care or placebo group. There was no suggestion that the risk of SAEs was higher in patients who were administered corticosteroids.
Conclusion. The administration of systemic corticosteroids was associated with a lower 28-day all-cause mortality in critically ill patients with COVID-19 compared to those who received usual care or placebo.
Commentary
Corticosteroids are anti-inflammatory and vasoconstrictive medications that have long been used in intensive care units for the treatment of acute respiratory distress syndrome and septic shock. However, the therapeutic role of corticosteroids for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was uncertain at the outset of the COVID-19 pandemic due to concerns that this class of medications may cause an impaired immune response in the setting of a life-threatening SARS-CoV-2 infection. Evidence supporting this notion included prior studies showing that corticosteroid therapy was associated with delayed viral clearance of Middle East respiratory syndrome or a higher viral load of SARS-CoV.2,3 The uncertainty surrounding the therapeutic use of corticosteroids in treating COVID-19 led to a simultaneous global effort to conduct randomized controlled trials to urgently examine this important clinical question. The open-label Randomized Evaluation of COVID-19 Therapy (RECOVERY) trial, conducted in the UK, was the first large-scale randomized clinical trial that reported the clinical benefit of corticosteroids in treating patients hospitalized with COVID-19. Specifically, it showed that low-dose dexamethasone (6 mg/day) administered orally or IV for up to 10 days resulted in a 2.8% absolute reduction in 28-day mortality, with the greatest benefit, an absolute risk reduction of 12.1%, conferred to patients who were receiving invasive mechanical ventilation at the time of randomization.4 In response to these findings, the National Institutes of Health COVID-19 Treatment Guidelines Panel recommended the use of dexamethasone in patients with COVID-19 who are on mechanical ventilation or who require supplemental oxygen, and recommended against the use of dexamethasone for those not requiring supplemental oxygen.5
The meta-analysis discussed in this commentary, conducted by the WHO REACT Working Group, has replicated initial findings from the RECOVERY trial. This prospective meta-analysis pooled data from 7 randomized controlled trials of corticosteroid therapy in 1703 critically ill patients hospitalized with COVID-19. Similar to findings from the RECOVERY trial, corticosteroids were associated with lower all-cause mortality at 28 days after randomization, and this benefit was observed both in critically ill patients who were receiving mechanical ventilation or supplemental oxygen without mechanical ventilation. Interestingly, while the OR estimates were imprecise, the reduction in mortality rates was similar between patients who were administered dexamethasone and hydrocortisone, which may suggest a general drug class effect. In addition, the mortality benefit of corticosteroids appeared similar for those aged ≤ 60 years and those aged > 60 years, between female and male patients, and those who were symptomatic for ≤ 7 days or > 7 days before randomization. Moreover, the administration of corticosteroids did not appear to increase the risk of SAEs. While more data are needed, results from the RECOVERY trial and this prospective meta-analysis indicate that corticosteroids should be an essential pharmacologic treatment for COVID-19, and suggest its potential role as a standard of care for critically ill patients with COVID-19.
This study has several limitations. First, not all trials systematically identified participated in the meta-analysis. Second, long-term outcomes after hospital discharge were not captured, and thus the effect of corticosteroids on long-term mortality and other adverse outcomes, such as hospital readmission, remain unknown. Third, because children were excluded from study participation, the effect of corticosteroids on pediatric COVID-19 patients is unknown. Fourth, the RECOVERY trial contributed more than 50% of patients in the current analysis, although there was little inconsistency in the effects of corticosteroids on mortality between individual trials. Last, the meta-analysis was unable to establish the optimal dose or duration of corticosteroid intervention in critically ill COVID-19 patients, or determine its efficacy in patients with mild-to-moderate COVID-19, all of which are key clinical questions that will need to be addressed with further clinical investigations.
The development of effective treatments for COVID-19 is critical to mitigating the devastating consequences of SARS-CoV-2 infection. Several recent COVID-19 clinical trials have shown promise in this endeavor. For instance, the Adaptive COVID-19 Treatment Trial (ACCT-1) found that intravenous remdesivir, as compared to placebo, significantly shortened time to recovery in adult patients hospitalized with COVID-19 who had evidence of lower respiratory tract infection.6 Moreover, there is some evidence to suggest that convalescent plasma and aerosol inhalation of IFN-κ may have beneficial effects in treating COVID-19.7,8 Thus, clinical trials designed to investigate combination therapy approaches including corticosteroids, remdesivir, convalescent plasma, and others are urgently needed to help identify interventions that most effectively treat COVID-19.
Applications for Clinical Practice
The use of corticosteroids in critically ill patients with COVID-19 reduces overall mortality. This treatment is inexpensive and available in most care settings, including low-resource regions, and provides hope for better outcomes in the COVID-19 pandemic.
Katerina Oikonomou, MD, PhD
General Hospital of Larissa, Larissa, Greece
Fred Ko, MD, MS
1. Sterne JAC, Diaz J, Villar J, et al. Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials. Trials. 2020;21:734.
2. Lee N, Allen Chan KC, Hui DS, et al. Effects of early corticosteroid treatment on plasma SARS-associated Coronavirus RNA concentrations in adult patients. J Clin Virol. 2004;31:304-309.
3. Arabi YM, Mandourah Y, Al-Hameed F, et al. Corticosteroid therapy for citically Ill patients with Middle East respiratory syndrome. Am J Respir Crit Care Med. 2018;197:757-767.
4. RECOVERY Collaborative Group, Horby P, Lim WS, et al. Dexamethasone in hospitalized patients with Covid-19 - preliminary report [published online ahead of print, 2020 Jul 17]. N Engl J Med. 2020;NEJMoa2021436.
5. NIH COVID-19 Treatment Guidelines. National Institutes of Health. www.covid19treatmentguidelines.nih.gov/immune-based-therapy/immunomodulators/corticosteroids/. Accessed September 11, 2020.
6. Beigel JH, Tomashek KM, Dodd LE, et al. Remdesivir for the treatment of Covid-19--preliminary report [published online ahead of print, 2020 May 22]. N Engl J Med. 2020;NEJMoa2007764.
7. Casadevall A, Joyner MJ, Pirofski LA. A randomized trial of convalescent plasma for covid-19-potentially hopeful signals. JAMA. 2020;324:455-457.
8. Fu W, Liu Y, Xia L, et al. A clinical pilot study on the safety and efficacy of aerosol inhalation treatment of IFN-κ plus TFF2 in patients with moderate COVID-19. EClinicalMedicine. 2020;25:100478.
Study Overview
Objective. To assess the association between administration of systemic corticosteroids, compared with usual care or placebo, and 28-day all-cause mortality in critically ill patients with coronavirus disease 2019 (COVID-19).
Design. Prospective meta-analysis with data from 7 randomized clinical trials conducted in 12 countries.
Setting and participants. This prospective meta-analysis included randomized clinical trials conducted between February 26, 2020, and June 9, 2020, that examined the clinical efficacy of administration of corticosteroids in hospitalized COVID-19 patients who were critically ill. Trials were systematically identified from ClinicalTrials.gov, the Chinese Clinical Trial Registry, and the EU Clinical Trials Register, using the search terms COVID-19, corticosteroids, and steroids. Additional trials were identified by experts from the WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group. Senior investigators of these identified trials were asked to participate in weekly calls to develop a protocol for the prospective meta-analysis.1 Subsequently, trials that had randomly assigned critically ill patients to receive corticosteroids versus usual care or placebo were invited to participate in this meta-analysis. Data were pooled from patients recruited to the participating trials through June 9, 2020, and aggregated in overall and in predefined subgroups.
Main outcome measures. The primary outcome was all-cause mortality up to 30 days after randomization. Because 5 of the included trials reported mortality at 28 days after randomization, the primary outcome was reported as 28-day all-cause mortality. The secondary outcome was serious adverse events (SAEs). The authors also gathered data on the demographic and clinical characteristics of patients, the number of patients lost to follow-up, and outcomes according to intervention group, overall, and in subgroups (ie, patients receiving invasive mechanical ventilation or vasoactive medication; age ≤ 60 years or > 60 years [the median across trials]; sex [male or female]; and the duration patients were symptomatic [≤ 7 days or > 7 days]). For each trial, the risk of bias was assessed independently by 4 investigators using the Cochrane Risk of Bias Assessment Tool for the overall effects of corticosteroids on mortality and SAEs and the effect of assignment and allocated interventions. Inconsistency between trial results was evaluated using the I2 statistic. The trials were classified according to the corticosteroids used in the intervention group and the dose administered using a priori-defined cutoffs (15 mg/day of dexamethasone, 400 mg/day of hydrocortisone, and 1 mg/kg/day of methylprednisolone). The primary analysis utilized was an inverse variance-weighted fixed-effect meta-analysis of odds ratios (ORs) for overall mortality. Random-effects meta-analyses with Paule-Mandel estimate of heterogeneity were also performed.
Main results. Seven trials (DEXA-COVID 19, CoDEX, RECOVERY, CAPE COVID, COVID STEROID, REMAP-CAP, and Steroids-SARI) were included in the final meta-analysis. The enrolled patients were from Australia, Brazil, Canada, China, Denmark, France, Ireland, the Netherlands, New Zealand, Spain, the United Kingdom, and the United States. The date of final follow-up was July 6, 2020. The corticosteroids groups included dexamethasone at low (6 mg/day orally or intravenously [IV]) and high (20 mg/day IV) doses; low-dose hydrocortisone (200 mg/day IV or 50 mg every 6 hr IV); and high-dose methylprednisolone (40 mg every 12 hr IV). In total, 1703 patients were randomized, with 678 assigned to the corticosteroids group and 1025 to the usual-care or placebo group. The median age of patients was 60 years (interquartile range, 52-68 years), and 29% were women. The larger number of patients in the usual-care/placebo group was a result of the 1:2 randomization (corticosteroids versus usual care or placebo) in the RECOVERY trial, which contributed 59.1% of patients included in this prospective meta-analysis. The majority of patients were receiving invasive mechanical ventilation at randomization (1559 patients). The administration of adjunctive treatments, such as azithromycin or antiviral agents, varied among the trials. The risk of bias was determined as low for 6 of the 7 mortality results.
A total of 222 of 678 patients in the corticosteroids group died, and 425 of 1025 patients in the usual care or placebo group died. The summary OR was 0.66 (95% confidence interval [CI], 0.53-0.82; P < 0.001) based on a fixed-effect meta-analysis, and 0.70 (95% CI, 0.48-1.01; P = 0.053) based on the random-effects meta-analysis, for 28-day all-cause mortality comparing all corticosteroids with usual care or placebo. There was little inconsistency between trial results (I2 = 15.6%; P = 0.31). The fixed-effect summary OR for the association with 28-day all-cause mortality was 0.64 (95% CI, 0.50-0.82; P < 0.001) for dexamethasone compared with usual care or placebo (3 trials, 1282 patients, and 527 deaths); the OR was 0.69 (95% CI, 0.43-1.12; P = 0.13) for hydrocortisone (3 trials, 374 patients, and 94 deaths); and the OR was 0.91 (95% CI, 0.29-2.87; P = 0.87) for methylprednisolone (1 trial, 47 patients, and 26 deaths). Moreover, in trials that administered low-dose corticosteroids, the overall fixed-effect OR for 28-day all-cause mortality was 0.61 (95% CI, 0.48-0.78; P < 0.001). In the subgroup analysis, the overall fixed-effect OR was 0.69 (95% CI, 0.55-0.86) in patients who were receiving invasive mechanical ventilation at randomization, and the OR was 0.41 (95% CI, 0.19-0.88) in patients who were not receiving invasive mechanical ventilation at randomization.
Six trials (all except the RECOVERY trial) reported SAEs, with 64 events occurring among 354 patients assigned to the corticosteroids group and 80 SAEs occurring among 342 patients assigned to the usual-care or placebo group. There was no suggestion that the risk of SAEs was higher in patients who were administered corticosteroids.
Conclusion. The administration of systemic corticosteroids was associated with a lower 28-day all-cause mortality in critically ill patients with COVID-19 compared to those who received usual care or placebo.
Commentary
Corticosteroids are anti-inflammatory and vasoconstrictive medications that have long been used in intensive care units for the treatment of acute respiratory distress syndrome and septic shock. However, the therapeutic role of corticosteroids for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was uncertain at the outset of the COVID-19 pandemic due to concerns that this class of medications may cause an impaired immune response in the setting of a life-threatening SARS-CoV-2 infection. Evidence supporting this notion included prior studies showing that corticosteroid therapy was associated with delayed viral clearance of Middle East respiratory syndrome or a higher viral load of SARS-CoV.2,3 The uncertainty surrounding the therapeutic use of corticosteroids in treating COVID-19 led to a simultaneous global effort to conduct randomized controlled trials to urgently examine this important clinical question. The open-label Randomized Evaluation of COVID-19 Therapy (RECOVERY) trial, conducted in the UK, was the first large-scale randomized clinical trial that reported the clinical benefit of corticosteroids in treating patients hospitalized with COVID-19. Specifically, it showed that low-dose dexamethasone (6 mg/day) administered orally or IV for up to 10 days resulted in a 2.8% absolute reduction in 28-day mortality, with the greatest benefit, an absolute risk reduction of 12.1%, conferred to patients who were receiving invasive mechanical ventilation at the time of randomization.4 In response to these findings, the National Institutes of Health COVID-19 Treatment Guidelines Panel recommended the use of dexamethasone in patients with COVID-19 who are on mechanical ventilation or who require supplemental oxygen, and recommended against the use of dexamethasone for those not requiring supplemental oxygen.5
The meta-analysis discussed in this commentary, conducted by the WHO REACT Working Group, has replicated initial findings from the RECOVERY trial. This prospective meta-analysis pooled data from 7 randomized controlled trials of corticosteroid therapy in 1703 critically ill patients hospitalized with COVID-19. Similar to findings from the RECOVERY trial, corticosteroids were associated with lower all-cause mortality at 28 days after randomization, and this benefit was observed both in critically ill patients who were receiving mechanical ventilation or supplemental oxygen without mechanical ventilation. Interestingly, while the OR estimates were imprecise, the reduction in mortality rates was similar between patients who were administered dexamethasone and hydrocortisone, which may suggest a general drug class effect. In addition, the mortality benefit of corticosteroids appeared similar for those aged ≤ 60 years and those aged > 60 years, between female and male patients, and those who were symptomatic for ≤ 7 days or > 7 days before randomization. Moreover, the administration of corticosteroids did not appear to increase the risk of SAEs. While more data are needed, results from the RECOVERY trial and this prospective meta-analysis indicate that corticosteroids should be an essential pharmacologic treatment for COVID-19, and suggest its potential role as a standard of care for critically ill patients with COVID-19.
This study has several limitations. First, not all trials systematically identified participated in the meta-analysis. Second, long-term outcomes after hospital discharge were not captured, and thus the effect of corticosteroids on long-term mortality and other adverse outcomes, such as hospital readmission, remain unknown. Third, because children were excluded from study participation, the effect of corticosteroids on pediatric COVID-19 patients is unknown. Fourth, the RECOVERY trial contributed more than 50% of patients in the current analysis, although there was little inconsistency in the effects of corticosteroids on mortality between individual trials. Last, the meta-analysis was unable to establish the optimal dose or duration of corticosteroid intervention in critically ill COVID-19 patients, or determine its efficacy in patients with mild-to-moderate COVID-19, all of which are key clinical questions that will need to be addressed with further clinical investigations.
The development of effective treatments for COVID-19 is critical to mitigating the devastating consequences of SARS-CoV-2 infection. Several recent COVID-19 clinical trials have shown promise in this endeavor. For instance, the Adaptive COVID-19 Treatment Trial (ACCT-1) found that intravenous remdesivir, as compared to placebo, significantly shortened time to recovery in adult patients hospitalized with COVID-19 who had evidence of lower respiratory tract infection.6 Moreover, there is some evidence to suggest that convalescent plasma and aerosol inhalation of IFN-κ may have beneficial effects in treating COVID-19.7,8 Thus, clinical trials designed to investigate combination therapy approaches including corticosteroids, remdesivir, convalescent plasma, and others are urgently needed to help identify interventions that most effectively treat COVID-19.
Applications for Clinical Practice
The use of corticosteroids in critically ill patients with COVID-19 reduces overall mortality. This treatment is inexpensive and available in most care settings, including low-resource regions, and provides hope for better outcomes in the COVID-19 pandemic.
Katerina Oikonomou, MD, PhD
General Hospital of Larissa, Larissa, Greece
Fred Ko, MD, MS
Study Overview
Objective. To assess the association between administration of systemic corticosteroids, compared with usual care or placebo, and 28-day all-cause mortality in critically ill patients with coronavirus disease 2019 (COVID-19).
Design. Prospective meta-analysis with data from 7 randomized clinical trials conducted in 12 countries.
Setting and participants. This prospective meta-analysis included randomized clinical trials conducted between February 26, 2020, and June 9, 2020, that examined the clinical efficacy of administration of corticosteroids in hospitalized COVID-19 patients who were critically ill. Trials were systematically identified from ClinicalTrials.gov, the Chinese Clinical Trial Registry, and the EU Clinical Trials Register, using the search terms COVID-19, corticosteroids, and steroids. Additional trials were identified by experts from the WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group. Senior investigators of these identified trials were asked to participate in weekly calls to develop a protocol for the prospective meta-analysis.1 Subsequently, trials that had randomly assigned critically ill patients to receive corticosteroids versus usual care or placebo were invited to participate in this meta-analysis. Data were pooled from patients recruited to the participating trials through June 9, 2020, and aggregated in overall and in predefined subgroups.
Main outcome measures. The primary outcome was all-cause mortality up to 30 days after randomization. Because 5 of the included trials reported mortality at 28 days after randomization, the primary outcome was reported as 28-day all-cause mortality. The secondary outcome was serious adverse events (SAEs). The authors also gathered data on the demographic and clinical characteristics of patients, the number of patients lost to follow-up, and outcomes according to intervention group, overall, and in subgroups (ie, patients receiving invasive mechanical ventilation or vasoactive medication; age ≤ 60 years or > 60 years [the median across trials]; sex [male or female]; and the duration patients were symptomatic [≤ 7 days or > 7 days]). For each trial, the risk of bias was assessed independently by 4 investigators using the Cochrane Risk of Bias Assessment Tool for the overall effects of corticosteroids on mortality and SAEs and the effect of assignment and allocated interventions. Inconsistency between trial results was evaluated using the I2 statistic. The trials were classified according to the corticosteroids used in the intervention group and the dose administered using a priori-defined cutoffs (15 mg/day of dexamethasone, 400 mg/day of hydrocortisone, and 1 mg/kg/day of methylprednisolone). The primary analysis utilized was an inverse variance-weighted fixed-effect meta-analysis of odds ratios (ORs) for overall mortality. Random-effects meta-analyses with Paule-Mandel estimate of heterogeneity were also performed.
Main results. Seven trials (DEXA-COVID 19, CoDEX, RECOVERY, CAPE COVID, COVID STEROID, REMAP-CAP, and Steroids-SARI) were included in the final meta-analysis. The enrolled patients were from Australia, Brazil, Canada, China, Denmark, France, Ireland, the Netherlands, New Zealand, Spain, the United Kingdom, and the United States. The date of final follow-up was July 6, 2020. The corticosteroids groups included dexamethasone at low (6 mg/day orally or intravenously [IV]) and high (20 mg/day IV) doses; low-dose hydrocortisone (200 mg/day IV or 50 mg every 6 hr IV); and high-dose methylprednisolone (40 mg every 12 hr IV). In total, 1703 patients were randomized, with 678 assigned to the corticosteroids group and 1025 to the usual-care or placebo group. The median age of patients was 60 years (interquartile range, 52-68 years), and 29% were women. The larger number of patients in the usual-care/placebo group was a result of the 1:2 randomization (corticosteroids versus usual care or placebo) in the RECOVERY trial, which contributed 59.1% of patients included in this prospective meta-analysis. The majority of patients were receiving invasive mechanical ventilation at randomization (1559 patients). The administration of adjunctive treatments, such as azithromycin or antiviral agents, varied among the trials. The risk of bias was determined as low for 6 of the 7 mortality results.
A total of 222 of 678 patients in the corticosteroids group died, and 425 of 1025 patients in the usual care or placebo group died. The summary OR was 0.66 (95% confidence interval [CI], 0.53-0.82; P < 0.001) based on a fixed-effect meta-analysis, and 0.70 (95% CI, 0.48-1.01; P = 0.053) based on the random-effects meta-analysis, for 28-day all-cause mortality comparing all corticosteroids with usual care or placebo. There was little inconsistency between trial results (I2 = 15.6%; P = 0.31). The fixed-effect summary OR for the association with 28-day all-cause mortality was 0.64 (95% CI, 0.50-0.82; P < 0.001) for dexamethasone compared with usual care or placebo (3 trials, 1282 patients, and 527 deaths); the OR was 0.69 (95% CI, 0.43-1.12; P = 0.13) for hydrocortisone (3 trials, 374 patients, and 94 deaths); and the OR was 0.91 (95% CI, 0.29-2.87; P = 0.87) for methylprednisolone (1 trial, 47 patients, and 26 deaths). Moreover, in trials that administered low-dose corticosteroids, the overall fixed-effect OR for 28-day all-cause mortality was 0.61 (95% CI, 0.48-0.78; P < 0.001). In the subgroup analysis, the overall fixed-effect OR was 0.69 (95% CI, 0.55-0.86) in patients who were receiving invasive mechanical ventilation at randomization, and the OR was 0.41 (95% CI, 0.19-0.88) in patients who were not receiving invasive mechanical ventilation at randomization.
Six trials (all except the RECOVERY trial) reported SAEs, with 64 events occurring among 354 patients assigned to the corticosteroids group and 80 SAEs occurring among 342 patients assigned to the usual-care or placebo group. There was no suggestion that the risk of SAEs was higher in patients who were administered corticosteroids.
Conclusion. The administration of systemic corticosteroids was associated with a lower 28-day all-cause mortality in critically ill patients with COVID-19 compared to those who received usual care or placebo.
Commentary
Corticosteroids are anti-inflammatory and vasoconstrictive medications that have long been used in intensive care units for the treatment of acute respiratory distress syndrome and septic shock. However, the therapeutic role of corticosteroids for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was uncertain at the outset of the COVID-19 pandemic due to concerns that this class of medications may cause an impaired immune response in the setting of a life-threatening SARS-CoV-2 infection. Evidence supporting this notion included prior studies showing that corticosteroid therapy was associated with delayed viral clearance of Middle East respiratory syndrome or a higher viral load of SARS-CoV.2,3 The uncertainty surrounding the therapeutic use of corticosteroids in treating COVID-19 led to a simultaneous global effort to conduct randomized controlled trials to urgently examine this important clinical question. The open-label Randomized Evaluation of COVID-19 Therapy (RECOVERY) trial, conducted in the UK, was the first large-scale randomized clinical trial that reported the clinical benefit of corticosteroids in treating patients hospitalized with COVID-19. Specifically, it showed that low-dose dexamethasone (6 mg/day) administered orally or IV for up to 10 days resulted in a 2.8% absolute reduction in 28-day mortality, with the greatest benefit, an absolute risk reduction of 12.1%, conferred to patients who were receiving invasive mechanical ventilation at the time of randomization.4 In response to these findings, the National Institutes of Health COVID-19 Treatment Guidelines Panel recommended the use of dexamethasone in patients with COVID-19 who are on mechanical ventilation or who require supplemental oxygen, and recommended against the use of dexamethasone for those not requiring supplemental oxygen.5
The meta-analysis discussed in this commentary, conducted by the WHO REACT Working Group, has replicated initial findings from the RECOVERY trial. This prospective meta-analysis pooled data from 7 randomized controlled trials of corticosteroid therapy in 1703 critically ill patients hospitalized with COVID-19. Similar to findings from the RECOVERY trial, corticosteroids were associated with lower all-cause mortality at 28 days after randomization, and this benefit was observed both in critically ill patients who were receiving mechanical ventilation or supplemental oxygen without mechanical ventilation. Interestingly, while the OR estimates were imprecise, the reduction in mortality rates was similar between patients who were administered dexamethasone and hydrocortisone, which may suggest a general drug class effect. In addition, the mortality benefit of corticosteroids appeared similar for those aged ≤ 60 years and those aged > 60 years, between female and male patients, and those who were symptomatic for ≤ 7 days or > 7 days before randomization. Moreover, the administration of corticosteroids did not appear to increase the risk of SAEs. While more data are needed, results from the RECOVERY trial and this prospective meta-analysis indicate that corticosteroids should be an essential pharmacologic treatment for COVID-19, and suggest its potential role as a standard of care for critically ill patients with COVID-19.
This study has several limitations. First, not all trials systematically identified participated in the meta-analysis. Second, long-term outcomes after hospital discharge were not captured, and thus the effect of corticosteroids on long-term mortality and other adverse outcomes, such as hospital readmission, remain unknown. Third, because children were excluded from study participation, the effect of corticosteroids on pediatric COVID-19 patients is unknown. Fourth, the RECOVERY trial contributed more than 50% of patients in the current analysis, although there was little inconsistency in the effects of corticosteroids on mortality between individual trials. Last, the meta-analysis was unable to establish the optimal dose or duration of corticosteroid intervention in critically ill COVID-19 patients, or determine its efficacy in patients with mild-to-moderate COVID-19, all of which are key clinical questions that will need to be addressed with further clinical investigations.
The development of effective treatments for COVID-19 is critical to mitigating the devastating consequences of SARS-CoV-2 infection. Several recent COVID-19 clinical trials have shown promise in this endeavor. For instance, the Adaptive COVID-19 Treatment Trial (ACCT-1) found that intravenous remdesivir, as compared to placebo, significantly shortened time to recovery in adult patients hospitalized with COVID-19 who had evidence of lower respiratory tract infection.6 Moreover, there is some evidence to suggest that convalescent plasma and aerosol inhalation of IFN-κ may have beneficial effects in treating COVID-19.7,8 Thus, clinical trials designed to investigate combination therapy approaches including corticosteroids, remdesivir, convalescent plasma, and others are urgently needed to help identify interventions that most effectively treat COVID-19.
Applications for Clinical Practice
The use of corticosteroids in critically ill patients with COVID-19 reduces overall mortality. This treatment is inexpensive and available in most care settings, including low-resource regions, and provides hope for better outcomes in the COVID-19 pandemic.
Katerina Oikonomou, MD, PhD
General Hospital of Larissa, Larissa, Greece
Fred Ko, MD, MS
1. Sterne JAC, Diaz J, Villar J, et al. Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials. Trials. 2020;21:734.
2. Lee N, Allen Chan KC, Hui DS, et al. Effects of early corticosteroid treatment on plasma SARS-associated Coronavirus RNA concentrations in adult patients. J Clin Virol. 2004;31:304-309.
3. Arabi YM, Mandourah Y, Al-Hameed F, et al. Corticosteroid therapy for citically Ill patients with Middle East respiratory syndrome. Am J Respir Crit Care Med. 2018;197:757-767.
4. RECOVERY Collaborative Group, Horby P, Lim WS, et al. Dexamethasone in hospitalized patients with Covid-19 - preliminary report [published online ahead of print, 2020 Jul 17]. N Engl J Med. 2020;NEJMoa2021436.
5. NIH COVID-19 Treatment Guidelines. National Institutes of Health. www.covid19treatmentguidelines.nih.gov/immune-based-therapy/immunomodulators/corticosteroids/. Accessed September 11, 2020.
6. Beigel JH, Tomashek KM, Dodd LE, et al. Remdesivir for the treatment of Covid-19--preliminary report [published online ahead of print, 2020 May 22]. N Engl J Med. 2020;NEJMoa2007764.
7. Casadevall A, Joyner MJ, Pirofski LA. A randomized trial of convalescent plasma for covid-19-potentially hopeful signals. JAMA. 2020;324:455-457.
8. Fu W, Liu Y, Xia L, et al. A clinical pilot study on the safety and efficacy of aerosol inhalation treatment of IFN-κ plus TFF2 in patients with moderate COVID-19. EClinicalMedicine. 2020;25:100478.
1. Sterne JAC, Diaz J, Villar J, et al. Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials. Trials. 2020;21:734.
2. Lee N, Allen Chan KC, Hui DS, et al. Effects of early corticosteroid treatment on plasma SARS-associated Coronavirus RNA concentrations in adult patients. J Clin Virol. 2004;31:304-309.
3. Arabi YM, Mandourah Y, Al-Hameed F, et al. Corticosteroid therapy for citically Ill patients with Middle East respiratory syndrome. Am J Respir Crit Care Med. 2018;197:757-767.
4. RECOVERY Collaborative Group, Horby P, Lim WS, et al. Dexamethasone in hospitalized patients with Covid-19 - preliminary report [published online ahead of print, 2020 Jul 17]. N Engl J Med. 2020;NEJMoa2021436.
5. NIH COVID-19 Treatment Guidelines. National Institutes of Health. www.covid19treatmentguidelines.nih.gov/immune-based-therapy/immunomodulators/corticosteroids/. Accessed September 11, 2020.
6. Beigel JH, Tomashek KM, Dodd LE, et al. Remdesivir for the treatment of Covid-19--preliminary report [published online ahead of print, 2020 May 22]. N Engl J Med. 2020;NEJMoa2007764.
7. Casadevall A, Joyner MJ, Pirofski LA. A randomized trial of convalescent plasma for covid-19-potentially hopeful signals. JAMA. 2020;324:455-457.
8. Fu W, Liu Y, Xia L, et al. A clinical pilot study on the safety and efficacy of aerosol inhalation treatment of IFN-κ plus TFF2 in patients with moderate COVID-19. EClinicalMedicine. 2020;25:100478.
Effect of a Smartphone App Plus an Accelerometer on Physical Activity and Functional Recovery During Hospitalization After Orthopedic Surgery
Study Overview
Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.
Design. Nonrandomized, quasi-experimental pilot study.
Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.
At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.
Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.
Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).
The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.
Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).
Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.
Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.
Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.
Commentary
Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.
This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.
This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.
Applications for Clinical Practice
mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.
Katrina F. Mateo, PhD, MPH
1. Brown CJ, Roth DL, Allman RM. Validation of use of wireless monitors to measure levels of mobility during hospitalization. J Rehabil Res Dev. 2008;45:551-558.
2. Pedersen MM, Bodilsen AC, Petersen J, et al. Twenty-four-hour mobility during acute hospitalization in older medical patients. J Gerontol Ser A Biol Sci Med Sci. 2013;68:331–337.
3. Evensen S, Sletvold O, Lydersen S, Taraldsen K. Physical activity among hospitalized older adults – an observational study. BMC Geriatr. 2017;17:110.
4. Engdal M, Foss OA, Taraldsen K, et al. Daily physical activity in total hip arthroplasty patients undergoing different surgical approaches: a cohort study. Am J Phys Med Rehabil. 2017;96:473-478.
5. Hoogeboom TJ, Dronkers JJ, Hulzebos EH, van Meeteren NL. Merits of exercise therapy before and after major surgery. Curr Opin Anaesthesiol. 2014;27:161-166.
6. Hoogeboom TJ, van Meeteren NL, Schank K, et al. Risk factors for delayed inpatient functional recovery after total knee arthroplasty. Biomed Res Int. 2015:2015:167643.
7. Lenssen AF, Crijns YH, Waltje EM, et al. Efficiency of immediate postoperative inpatient physical therapy following total knee arthroplasty: an RCT. BMC Musculoskelet Disord. 2006;7:71.
8. Ramkumar PN, Haeberle HS, Ramanathan D, et al. Remote patient monitoring using mobile health for total knee arthroplasty: validation of a wearable and machine learning-based surveillance platform. J Arthroplast. 2019;34:2253-2259.
9. Ramkumar PN, Haeberle HS, Bloomfield MR, et al. Artificial Intelligence and arthroplasty at a single institution: Real-world applications of machine learning to big data, value-based care, mobile health, and remote patient monitoring. J Arthroplast. 2019;34:2204-2209.
10. Correia FD, Nogueira A, Magalhães I, et al, et al. Medium-term outcomes of digital versus conventional home-based rehabilitation after total knee arthroplasty: prospective, parallel-group feasibility study. JMIR Rehabil Assist Technol. 2019;6:e13111.
Study Overview
Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.
Design. Nonrandomized, quasi-experimental pilot study.
Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.
At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.
Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.
Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).
The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.
Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).
Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.
Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.
Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.
Commentary
Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.
This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.
This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.
Applications for Clinical Practice
mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.
Katrina F. Mateo, PhD, MPH
Study Overview
Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.
Design. Nonrandomized, quasi-experimental pilot study.
Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.
At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.
Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.
Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).
The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.
Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).
Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.
Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.
Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.
Commentary
Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.
This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.
This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.
Applications for Clinical Practice
mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.
Katrina F. Mateo, PhD, MPH
1. Brown CJ, Roth DL, Allman RM. Validation of use of wireless monitors to measure levels of mobility during hospitalization. J Rehabil Res Dev. 2008;45:551-558.
2. Pedersen MM, Bodilsen AC, Petersen J, et al. Twenty-four-hour mobility during acute hospitalization in older medical patients. J Gerontol Ser A Biol Sci Med Sci. 2013;68:331–337.
3. Evensen S, Sletvold O, Lydersen S, Taraldsen K. Physical activity among hospitalized older adults – an observational study. BMC Geriatr. 2017;17:110.
4. Engdal M, Foss OA, Taraldsen K, et al. Daily physical activity in total hip arthroplasty patients undergoing different surgical approaches: a cohort study. Am J Phys Med Rehabil. 2017;96:473-478.
5. Hoogeboom TJ, Dronkers JJ, Hulzebos EH, van Meeteren NL. Merits of exercise therapy before and after major surgery. Curr Opin Anaesthesiol. 2014;27:161-166.
6. Hoogeboom TJ, van Meeteren NL, Schank K, et al. Risk factors for delayed inpatient functional recovery after total knee arthroplasty. Biomed Res Int. 2015:2015:167643.
7. Lenssen AF, Crijns YH, Waltje EM, et al. Efficiency of immediate postoperative inpatient physical therapy following total knee arthroplasty: an RCT. BMC Musculoskelet Disord. 2006;7:71.
8. Ramkumar PN, Haeberle HS, Ramanathan D, et al. Remote patient monitoring using mobile health for total knee arthroplasty: validation of a wearable and machine learning-based surveillance platform. J Arthroplast. 2019;34:2253-2259.
9. Ramkumar PN, Haeberle HS, Bloomfield MR, et al. Artificial Intelligence and arthroplasty at a single institution: Real-world applications of machine learning to big data, value-based care, mobile health, and remote patient monitoring. J Arthroplast. 2019;34:2204-2209.
10. Correia FD, Nogueira A, Magalhães I, et al, et al. Medium-term outcomes of digital versus conventional home-based rehabilitation after total knee arthroplasty: prospective, parallel-group feasibility study. JMIR Rehabil Assist Technol. 2019;6:e13111.
1. Brown CJ, Roth DL, Allman RM. Validation of use of wireless monitors to measure levels of mobility during hospitalization. J Rehabil Res Dev. 2008;45:551-558.
2. Pedersen MM, Bodilsen AC, Petersen J, et al. Twenty-four-hour mobility during acute hospitalization in older medical patients. J Gerontol Ser A Biol Sci Med Sci. 2013;68:331–337.
3. Evensen S, Sletvold O, Lydersen S, Taraldsen K. Physical activity among hospitalized older adults – an observational study. BMC Geriatr. 2017;17:110.
4. Engdal M, Foss OA, Taraldsen K, et al. Daily physical activity in total hip arthroplasty patients undergoing different surgical approaches: a cohort study. Am J Phys Med Rehabil. 2017;96:473-478.
5. Hoogeboom TJ, Dronkers JJ, Hulzebos EH, van Meeteren NL. Merits of exercise therapy before and after major surgery. Curr Opin Anaesthesiol. 2014;27:161-166.
6. Hoogeboom TJ, van Meeteren NL, Schank K, et al. Risk factors for delayed inpatient functional recovery after total knee arthroplasty. Biomed Res Int. 2015:2015:167643.
7. Lenssen AF, Crijns YH, Waltje EM, et al. Efficiency of immediate postoperative inpatient physical therapy following total knee arthroplasty: an RCT. BMC Musculoskelet Disord. 2006;7:71.
8. Ramkumar PN, Haeberle HS, Ramanathan D, et al. Remote patient monitoring using mobile health for total knee arthroplasty: validation of a wearable and machine learning-based surveillance platform. J Arthroplast. 2019;34:2253-2259.
9. Ramkumar PN, Haeberle HS, Bloomfield MR, et al. Artificial Intelligence and arthroplasty at a single institution: Real-world applications of machine learning to big data, value-based care, mobile health, and remote patient monitoring. J Arthroplast. 2019;34:2204-2209.
10. Correia FD, Nogueira A, Magalhães I, et al, et al. Medium-term outcomes of digital versus conventional home-based rehabilitation after total knee arthroplasty: prospective, parallel-group feasibility study. JMIR Rehabil Assist Technol. 2019;6:e13111.
Dapagliflozin Improves Cardiovascular Outcomes in Patients With Heart Failure and Reduced Ejection Fraction
Study Overview
Objective. To evaluate the effects of dapagliflozin in patients with heart failure with reduced ejection fraction in the presence or absence of type 2 diabetes.
Design. Multicenter, international, double-blind, prospective, randomized, controlled trial.
Setting and participants. Adult patients with symptomatic heart failure with an ejection fraction of 40% or less and elevated heart failure biomarkers who were already on appropriate guideline-directed therapies were eligible for the study.
Intervention. A total of 4744 patients were randomly assigned to receive dapagliflozin (10 mg once daily) or placebo, in addition to recommended therapy. Randomization was stratified by the presence or absence of type 2 diabetes.
Main outcome measures. The primary outcome was the composite of a first episode of worsening heart failure (hospitalization or urgent intravenous therapy) or cardiovascular death.
Main results. Median follow-up was 18.2 months; during this time, the primary outcome occurred in 16.3% (386 of 2373) of patients in the dapagliflozin group and in 21.2% (502 of 2371) of patients in the placebo group (hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.65-0.85; P < 0.001). In the dapagliflozin group, 237 patients (10.0%) experienced a first worsening heart failure event, as compared with 326 patients (13.7%) in the placebo group (HR, 0.70; 95% CI, 0.59-0.83). The dapagliflozin group hadlower rates of death from cardiovascular causes (9.6% vs 11.5%; HR, 0.82; 95% CI, 0.69-0.98) and from any causes (11.6% vs 13.9%; HR, 0.83; 95% CI, 0.71-0.97), compared to the placebo group. Findings in patients with diabetes were similar to those in patients without diabetes.
Conclusion. Among patients with heart failure and a reduced ejection fraction, the risk of worsening heart failure or death from cardiovascular causes was lower among those who received dapagliflozin than among those who received placebo, regardless of the presence or absence of diabetes.
Commentary
Inhibitors of sodium-glucose cotransporter 2 (SGLT-2) are a novel class of diabetic medication that decrease renal glucose reabsorption, thereby increasing urinary glucose excretion. In several large clinical trials of these medications for patients with diabetes, which were designed to meet the regulatory requirements for cardiovascular safety in novel diabetic agents, investigators unexpectedly found that SGLT-2 inhibitors were associated with a reduction in cardiovascular events, driven by a reduction in heart failure hospitalizations. The results of EMPA-REG OUTCOME, the first of these trials, showed significantly lower risks of both death from any cause and hospitalization for heart failure in patients treated with empagliflozin.1 This improvement in cardiovascular outcomes was subsequently confirmed as a class effect of SGLT-2 inhibitors in the CANVAS Program (canagliflozin) and DECLARE TIMI 58 (dapagliflozin) trials.2,3
While these trials were designed for patients with type 2 diabetes who had either established cardiovascular disease or multiple risk factors for it, most patients did not have heart failure at baseline. Accordingly, despite a signal toward benefit of SGLT-2 inhibitors in patients with heart failure, the trials were not powered to test the hypothesis that SGLT-2 inhibitors benefit patients with heart failure, regardless of diabetes status. Therefore, McMurray et al designed the DAPA-HF trial to investigate whether SGLT-2 inhibitors can improve cardiovascular outcomes in patients with heart failure with reduced ejection fraction, with or without diabetes. The trial included 4744 patients with heart failure with reduced ejection fraction, who were randomly assigned to dapagliflozin 10 mg once daily or placebo, atop guideline-directed heart failure therapy, with randomization stratified by presence or absence of type 2 diabetes. Investigators found that the composite primary outcome, a first episode of worsening heart failure or cardiovascular death, occurred less frequently in patients in the dapagliflozin group compared to the placebo group (16.3% vs 21.2%; HR, 0.74; 95% CI, 0.65-0.85; P < 0.001). Individual components of the primary outcome and death from any cause were all significantly lower, and heart failure–related quality of life was significantly improved in the dapagliflozin group compared to placebo.
DAPA-HF was the first randomized study to investigate the effect of SGLT-2 inhibitors on patients with heart failure regardless of the presence of diabetes. In addition to the reduction in the above-mentioned primary and secondary endpoints, the study yielded other important findings worth noting. First, the consistent benefit of dapagliflozin on cardiovascular outcomes in patients with and without diabetes suggests that the cardioprotective effect of dapagliflozin is independent of its glucose-lowering effect. Prior studies have proposed alternative mechanisms, such as diuretic function and related hemodynamic actions, effects on myocardial metabolism, ion transporters, fibrosis, adipokines, vascular function, and the preservation of renal function. Future studies are needed to fully understand the likely pleiotropic effects of this class of medication on patients with heart failure. Second, there was no difference in the safety endpoints between the groups, including renal adverse events and major hypoglycemia, implying dapagliflozin is as safe as placebo.
There are a few limitations of this trial. First, as the authors point out, the study included mostly white males—less than 5% of participants were African Americans—and the finding may not be generalizable to all patient populations. Second, although all patients were already treated with guideline-directed heart failure therapy, only 10% of patients were on sacubitril–valsartan, which is more effective than renin–angiotensin system blockade alone at reducing the incidence of hospitalization for heart failure and death from cardiovascular causes. Also, mineralocorticoid receptor blockers were used in only 70% of the population. Finally, since the doses were not provided, whether patients were on the maximal tolerated dose of heart failure therapy prior to enrollment is unclear.
Based on the results of the DAPA-HF trial, the Food and Drug Administration approved dapagliflozin for the treatment of heart failure with reduced ejection fraction on May 5, 2020. This is the first diabetic drug approved for the treatment of heart failure.
Applications for Clinical Practice
SGLT-2 inhibitors represent a fourth class of medication that patients with heart failure with reduced ejection fraction should be initiated on, in addition to beta blocker, ACE inhibitor/angiotensin receptor blocker/neprilysin inhibitor, and mineralocorticoid receptor blocker. SGLT-2 inhibitors may be especially applicable in patients with heart failure with reduced ejection fraction and relative hypotension, as these agents are not associated with a significant blood-pressure-lowering effect, which can often limit our ability to initiate or uptitrate the other main 3 classes of guideline-directed medical therapy.
—Rie Hirai, MD, Fukui Kosei Hospital, Fukui, Japan
—Taishi Hirai, MD, University of Missouri Medical Center, Columbia, MO
—Timothy Fendler, MD, St. Luke’s Mid America Heart Institute, Kansas City, MO
1. Zinman B, Wanner C, Lachin JM, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373:2117-2128.
2. Neal B, Perkovic V, Mahaffey KW, et al. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377:644-657.
3. Wiviott SD, Raz I, Bonaca MP, et al. Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2019;380:347-357.
Study Overview
Objective. To evaluate the effects of dapagliflozin in patients with heart failure with reduced ejection fraction in the presence or absence of type 2 diabetes.
Design. Multicenter, international, double-blind, prospective, randomized, controlled trial.
Setting and participants. Adult patients with symptomatic heart failure with an ejection fraction of 40% or less and elevated heart failure biomarkers who were already on appropriate guideline-directed therapies were eligible for the study.
Intervention. A total of 4744 patients were randomly assigned to receive dapagliflozin (10 mg once daily) or placebo, in addition to recommended therapy. Randomization was stratified by the presence or absence of type 2 diabetes.
Main outcome measures. The primary outcome was the composite of a first episode of worsening heart failure (hospitalization or urgent intravenous therapy) or cardiovascular death.
Main results. Median follow-up was 18.2 months; during this time, the primary outcome occurred in 16.3% (386 of 2373) of patients in the dapagliflozin group and in 21.2% (502 of 2371) of patients in the placebo group (hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.65-0.85; P < 0.001). In the dapagliflozin group, 237 patients (10.0%) experienced a first worsening heart failure event, as compared with 326 patients (13.7%) in the placebo group (HR, 0.70; 95% CI, 0.59-0.83). The dapagliflozin group hadlower rates of death from cardiovascular causes (9.6% vs 11.5%; HR, 0.82; 95% CI, 0.69-0.98) and from any causes (11.6% vs 13.9%; HR, 0.83; 95% CI, 0.71-0.97), compared to the placebo group. Findings in patients with diabetes were similar to those in patients without diabetes.
Conclusion. Among patients with heart failure and a reduced ejection fraction, the risk of worsening heart failure or death from cardiovascular causes was lower among those who received dapagliflozin than among those who received placebo, regardless of the presence or absence of diabetes.
Commentary
Inhibitors of sodium-glucose cotransporter 2 (SGLT-2) are a novel class of diabetic medication that decrease renal glucose reabsorption, thereby increasing urinary glucose excretion. In several large clinical trials of these medications for patients with diabetes, which were designed to meet the regulatory requirements for cardiovascular safety in novel diabetic agents, investigators unexpectedly found that SGLT-2 inhibitors were associated with a reduction in cardiovascular events, driven by a reduction in heart failure hospitalizations. The results of EMPA-REG OUTCOME, the first of these trials, showed significantly lower risks of both death from any cause and hospitalization for heart failure in patients treated with empagliflozin.1 This improvement in cardiovascular outcomes was subsequently confirmed as a class effect of SGLT-2 inhibitors in the CANVAS Program (canagliflozin) and DECLARE TIMI 58 (dapagliflozin) trials.2,3
While these trials were designed for patients with type 2 diabetes who had either established cardiovascular disease or multiple risk factors for it, most patients did not have heart failure at baseline. Accordingly, despite a signal toward benefit of SGLT-2 inhibitors in patients with heart failure, the trials were not powered to test the hypothesis that SGLT-2 inhibitors benefit patients with heart failure, regardless of diabetes status. Therefore, McMurray et al designed the DAPA-HF trial to investigate whether SGLT-2 inhibitors can improve cardiovascular outcomes in patients with heart failure with reduced ejection fraction, with or without diabetes. The trial included 4744 patients with heart failure with reduced ejection fraction, who were randomly assigned to dapagliflozin 10 mg once daily or placebo, atop guideline-directed heart failure therapy, with randomization stratified by presence or absence of type 2 diabetes. Investigators found that the composite primary outcome, a first episode of worsening heart failure or cardiovascular death, occurred less frequently in patients in the dapagliflozin group compared to the placebo group (16.3% vs 21.2%; HR, 0.74; 95% CI, 0.65-0.85; P < 0.001). Individual components of the primary outcome and death from any cause were all significantly lower, and heart failure–related quality of life was significantly improved in the dapagliflozin group compared to placebo.
DAPA-HF was the first randomized study to investigate the effect of SGLT-2 inhibitors on patients with heart failure regardless of the presence of diabetes. In addition to the reduction in the above-mentioned primary and secondary endpoints, the study yielded other important findings worth noting. First, the consistent benefit of dapagliflozin on cardiovascular outcomes in patients with and without diabetes suggests that the cardioprotective effect of dapagliflozin is independent of its glucose-lowering effect. Prior studies have proposed alternative mechanisms, such as diuretic function and related hemodynamic actions, effects on myocardial metabolism, ion transporters, fibrosis, adipokines, vascular function, and the preservation of renal function. Future studies are needed to fully understand the likely pleiotropic effects of this class of medication on patients with heart failure. Second, there was no difference in the safety endpoints between the groups, including renal adverse events and major hypoglycemia, implying dapagliflozin is as safe as placebo.
There are a few limitations of this trial. First, as the authors point out, the study included mostly white males—less than 5% of participants were African Americans—and the finding may not be generalizable to all patient populations. Second, although all patients were already treated with guideline-directed heart failure therapy, only 10% of patients were on sacubitril–valsartan, which is more effective than renin–angiotensin system blockade alone at reducing the incidence of hospitalization for heart failure and death from cardiovascular causes. Also, mineralocorticoid receptor blockers were used in only 70% of the population. Finally, since the doses were not provided, whether patients were on the maximal tolerated dose of heart failure therapy prior to enrollment is unclear.
Based on the results of the DAPA-HF trial, the Food and Drug Administration approved dapagliflozin for the treatment of heart failure with reduced ejection fraction on May 5, 2020. This is the first diabetic drug approved for the treatment of heart failure.
Applications for Clinical Practice
SGLT-2 inhibitors represent a fourth class of medication that patients with heart failure with reduced ejection fraction should be initiated on, in addition to beta blocker, ACE inhibitor/angiotensin receptor blocker/neprilysin inhibitor, and mineralocorticoid receptor blocker. SGLT-2 inhibitors may be especially applicable in patients with heart failure with reduced ejection fraction and relative hypotension, as these agents are not associated with a significant blood-pressure-lowering effect, which can often limit our ability to initiate or uptitrate the other main 3 classes of guideline-directed medical therapy.
—Rie Hirai, MD, Fukui Kosei Hospital, Fukui, Japan
—Taishi Hirai, MD, University of Missouri Medical Center, Columbia, MO
—Timothy Fendler, MD, St. Luke’s Mid America Heart Institute, Kansas City, MO
Study Overview
Objective. To evaluate the effects of dapagliflozin in patients with heart failure with reduced ejection fraction in the presence or absence of type 2 diabetes.
Design. Multicenter, international, double-blind, prospective, randomized, controlled trial.
Setting and participants. Adult patients with symptomatic heart failure with an ejection fraction of 40% or less and elevated heart failure biomarkers who were already on appropriate guideline-directed therapies were eligible for the study.
Intervention. A total of 4744 patients were randomly assigned to receive dapagliflozin (10 mg once daily) or placebo, in addition to recommended therapy. Randomization was stratified by the presence or absence of type 2 diabetes.
Main outcome measures. The primary outcome was the composite of a first episode of worsening heart failure (hospitalization or urgent intravenous therapy) or cardiovascular death.
Main results. Median follow-up was 18.2 months; during this time, the primary outcome occurred in 16.3% (386 of 2373) of patients in the dapagliflozin group and in 21.2% (502 of 2371) of patients in the placebo group (hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.65-0.85; P < 0.001). In the dapagliflozin group, 237 patients (10.0%) experienced a first worsening heart failure event, as compared with 326 patients (13.7%) in the placebo group (HR, 0.70; 95% CI, 0.59-0.83). The dapagliflozin group hadlower rates of death from cardiovascular causes (9.6% vs 11.5%; HR, 0.82; 95% CI, 0.69-0.98) and from any causes (11.6% vs 13.9%; HR, 0.83; 95% CI, 0.71-0.97), compared to the placebo group. Findings in patients with diabetes were similar to those in patients without diabetes.
Conclusion. Among patients with heart failure and a reduced ejection fraction, the risk of worsening heart failure or death from cardiovascular causes was lower among those who received dapagliflozin than among those who received placebo, regardless of the presence or absence of diabetes.
Commentary
Inhibitors of sodium-glucose cotransporter 2 (SGLT-2) are a novel class of diabetic medication that decrease renal glucose reabsorption, thereby increasing urinary glucose excretion. In several large clinical trials of these medications for patients with diabetes, which were designed to meet the regulatory requirements for cardiovascular safety in novel diabetic agents, investigators unexpectedly found that SGLT-2 inhibitors were associated with a reduction in cardiovascular events, driven by a reduction in heart failure hospitalizations. The results of EMPA-REG OUTCOME, the first of these trials, showed significantly lower risks of both death from any cause and hospitalization for heart failure in patients treated with empagliflozin.1 This improvement in cardiovascular outcomes was subsequently confirmed as a class effect of SGLT-2 inhibitors in the CANVAS Program (canagliflozin) and DECLARE TIMI 58 (dapagliflozin) trials.2,3
While these trials were designed for patients with type 2 diabetes who had either established cardiovascular disease or multiple risk factors for it, most patients did not have heart failure at baseline. Accordingly, despite a signal toward benefit of SGLT-2 inhibitors in patients with heart failure, the trials were not powered to test the hypothesis that SGLT-2 inhibitors benefit patients with heart failure, regardless of diabetes status. Therefore, McMurray et al designed the DAPA-HF trial to investigate whether SGLT-2 inhibitors can improve cardiovascular outcomes in patients with heart failure with reduced ejection fraction, with or without diabetes. The trial included 4744 patients with heart failure with reduced ejection fraction, who were randomly assigned to dapagliflozin 10 mg once daily or placebo, atop guideline-directed heart failure therapy, with randomization stratified by presence or absence of type 2 diabetes. Investigators found that the composite primary outcome, a first episode of worsening heart failure or cardiovascular death, occurred less frequently in patients in the dapagliflozin group compared to the placebo group (16.3% vs 21.2%; HR, 0.74; 95% CI, 0.65-0.85; P < 0.001). Individual components of the primary outcome and death from any cause were all significantly lower, and heart failure–related quality of life was significantly improved in the dapagliflozin group compared to placebo.
DAPA-HF was the first randomized study to investigate the effect of SGLT-2 inhibitors on patients with heart failure regardless of the presence of diabetes. In addition to the reduction in the above-mentioned primary and secondary endpoints, the study yielded other important findings worth noting. First, the consistent benefit of dapagliflozin on cardiovascular outcomes in patients with and without diabetes suggests that the cardioprotective effect of dapagliflozin is independent of its glucose-lowering effect. Prior studies have proposed alternative mechanisms, such as diuretic function and related hemodynamic actions, effects on myocardial metabolism, ion transporters, fibrosis, adipokines, vascular function, and the preservation of renal function. Future studies are needed to fully understand the likely pleiotropic effects of this class of medication on patients with heart failure. Second, there was no difference in the safety endpoints between the groups, including renal adverse events and major hypoglycemia, implying dapagliflozin is as safe as placebo.
There are a few limitations of this trial. First, as the authors point out, the study included mostly white males—less than 5% of participants were African Americans—and the finding may not be generalizable to all patient populations. Second, although all patients were already treated with guideline-directed heart failure therapy, only 10% of patients were on sacubitril–valsartan, which is more effective than renin–angiotensin system blockade alone at reducing the incidence of hospitalization for heart failure and death from cardiovascular causes. Also, mineralocorticoid receptor blockers were used in only 70% of the population. Finally, since the doses were not provided, whether patients were on the maximal tolerated dose of heart failure therapy prior to enrollment is unclear.
Based on the results of the DAPA-HF trial, the Food and Drug Administration approved dapagliflozin for the treatment of heart failure with reduced ejection fraction on May 5, 2020. This is the first diabetic drug approved for the treatment of heart failure.
Applications for Clinical Practice
SGLT-2 inhibitors represent a fourth class of medication that patients with heart failure with reduced ejection fraction should be initiated on, in addition to beta blocker, ACE inhibitor/angiotensin receptor blocker/neprilysin inhibitor, and mineralocorticoid receptor blocker. SGLT-2 inhibitors may be especially applicable in patients with heart failure with reduced ejection fraction and relative hypotension, as these agents are not associated with a significant blood-pressure-lowering effect, which can often limit our ability to initiate or uptitrate the other main 3 classes of guideline-directed medical therapy.
—Rie Hirai, MD, Fukui Kosei Hospital, Fukui, Japan
—Taishi Hirai, MD, University of Missouri Medical Center, Columbia, MO
—Timothy Fendler, MD, St. Luke’s Mid America Heart Institute, Kansas City, MO
1. Zinman B, Wanner C, Lachin JM, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373:2117-2128.
2. Neal B, Perkovic V, Mahaffey KW, et al. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377:644-657.
3. Wiviott SD, Raz I, Bonaca MP, et al. Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2019;380:347-357.
1. Zinman B, Wanner C, Lachin JM, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373:2117-2128.
2. Neal B, Perkovic V, Mahaffey KW, et al. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377:644-657.
3. Wiviott SD, Raz I, Bonaca MP, et al. Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2019;380:347-357.
An Advance Care Planning Video Program in Nursing Homes Did Not Reduce Hospital Transfer and Burdensome Treatment in Long-Stay Residents
Study Overview
Objective. To examine the effect of an advance care planning video intervention in nursing homes on resident outcomes of hospital transfer, burdensome treatment, and hospice enrollment.
Design. Pragmatic cluster randomized controlled trial.
Setting and participants. The study was conducted in 360 nursing homes located in 32 states across the United States. The facilities were owned by 2 for-profit nursing home chains; facilities with more than 50 beds were eligible to be included in the study. Facilities deemed by corporate leaders to have serious organizational problems or that lacked the ability to transfer electronic health records were excluded. The facilities, stratified by the primary outcome hospitalizations per 1000 person-days, were then randomized to intervention and control in a 1:2 ratio. Leaders from facilities in the intervention group received letters describing their selection to participate in the advance care planning video program, and all facilities invited agreed to participate. Participants (residents in nursing homes) were enrolled from February 1, 2016, to May 31, 2018. Each participant was followed for 12 months after enrollment. All residents living in intervention facilities were offered the opportunity to watch intervention videos. The target population of the study was residents with advanced illness, including advanced dementia or advanced cardiopulmonary disease, as defined by the Minimum Data Set (MDS) variables, who were aged 65 and older, were long-stay residents (100 days or more), and were enrolled as Medicare fee-for-service beneficiaries. Secondary analysis included residents without advanced illness meeting other criteria.
Intervention. The intervention consisted of a selection of 5 short videos (6 to 10 minutes each), which had been previously developed and tested in smaller randomized trials. These videos cover the topics of general goals of care, goals of care for advanced dementia, hospice, hospitalization, and advance care planning for healthy patients, and use narration and images of typical treatments representing intensive medical care, basic medical care, and comfort care. The video for goals of care for advanced dementia targeted proxies of residents rather than residents themselves.
The implementation strategy for the video program included using a program manager to oversee the organization of the program’s rollout (a manager for each for-profit nursing home chain) and 2 champions at each facility (typically social workers were tasked with showing videos to patients and families). Champions received training from the study investigators and the manager and were asked to choose and offer selected videos to residents or proxies within 7 days of admission or readmission, every 6 months during a resident’s stay, and when specific decisions occurred, such as transition to hospice care, and on special occasions, such as out-of-town family visits.
Video offering and use were captured through documentation by a facility champion using a report tool embedded in the facility’s electronic health record. Champions met with the facility’s program manager and study team to review reports of video use, identify residents who had not been shown a video, and problem-solve on how to reach these residents. Facilities in the control group used their usual procedures for advance care planning.
Main outcome measures. Study outcomes included hospitalization transfers per 1000 person-days alive among long-stay residents with advanced illness (primary outcome); proportion of residents with at least 1 hospital transfer; proportion of residents with at least 1 burdensome treatment; and hospice enrollment (secondary outcomes). Secondary outcomes also included hospitalization transfers for long-stay residents without advanced illness. Hospital transfers were identified using Medicare claims for admissions, emergency department visits, and observation stays. Burdensome treatments were identified from Medicare claims and MDS, including tube feeding, parenteral therapy, invasive mechanical intervention, and intensive care unit admission. Fidelity to video intervention was measured by the proportion of residents offered the videos and the proportion of residents shown the videos at least once during the study period.
Main results. A total of 360 facilities were included in the study, 119 intervention and 241 control facilities. For the primary outcome, 4171 residents with advanced illness were included in the intervention group and 8308 residents with advanced illness were included in the control group. The average age was 83.6 years in both groups. In the intervention and control groups, respectively, 71.2% and 70.5% were female, 78.4% and 81.5% were White, 68.6% and 70.1% had advanced dementia at baseline, and 35.4% and 33.4% had advanced congestive heart failure or chronic obstructive pulmonary disease at baseline. Approximately 34% of residents received hospice care at baseline. In the intervention and control groups, 43.9% and 45.3% of residents died during follow-up, and the average length of follow-up in each group was 253.1 days and 252.6 days, respectively.
For the primary outcome of hospital transfers per 1000 person-days alive, there were 3.7 episodes (standard error 0.2) in the intervention group and 3.9 episodes in the control group (standard error 0.3); the difference was not statistically significant. For residents without advanced illness, there also was no difference in the hospital transfer rate. For other secondary outcomes, the proportion of residents in the intervention and control groups with 1 or more hospital transfer was 40.9% and 41.6%, respectively; the proportion with 1 or more burdensome treatment was 9.6% and 10.7%; and hospice enrollment was 24.9% and 25.5%. None of these differences was statistically significant. In the intervention group, 55.6% of residents or proxies were offered the video intervention and 21.9% were shown the videos at least once. There was substantial variability in the proportion of residents in the intervention group who were shown videos.
Conclusion. The advance planning video program did not lead to a reduction in hospital transfer, burdensome treatment, or changes in hospice enrollment. Acceptance of the intervention by residents was variable, and this may have contributed to the null finding.
Commentary
Nursing home residents often have advanced illness and limited functional ability. Hospital transfers may be burdensome and of limited clinical benefit for these patients, particularly for those with advanced illness and limited life expectancy, and are associated with markers of poor quality of end-of-life care, such as increased rates of stage IV decubitus ulcer and feeding-tube use towards the end of life.1 Advance care planning is associated with less aggressive care towards the end of life for persons with advanced illness,2 which ultimately improves the quality of end-of-life care for these individuals. Prior interventions to improve advance care planning have had variable effects, while video-based interventions to improve advance care planning have shown promise.3
This pragmatic randomized trial assessed the effect of an advance care planning video program on important clinical outcomes for nursing home residents, particularly those with advanced illness. The results, however, are disappointing, as the video intervention failed to improve hospital transfer rate and burdensome treatment in this population. The negative results could be attributed to the limited adoption of the video intervention in the study, as only 21.9% of residents in the intervention group were actually exposed to the intervention. What is not reported, and is difficult to assess, is whether the video intervention led to advance care planning, as would be demonstrated by advance directive documentation and acceptance of goals of care of comfort. A per-protocol analysis may be considered to demonstrate if there is an effect on residents who were exposed to the intervention. Nonetheless, the low adoption rate of the intervention may prompt further investigation of factors limiting adoption and perhaps lead to a redesigned trial aimed at enhancing adoption, with consideration of use of implementation trial designs.
As pointed out by the study investigators, other changes to nursing home practices, specifically on hospital transfer, likely occurred during the study period. A number of national initiatives to reduce unnecessary hospital transfer from nursing homes have been introduced, and a reduction in hospital transfers occurred between 2011 and 20174; these initiatives could have impacted staff priorities and adoption of the study intervention relative to other co-occurring initiatives.
Applications for Clinical Practice
The authors of this study reported negative trial results, but their findings highlight important issues in conducting trials in the nursing home setting. Additional demonstration of actual effect on advance care planning discussions and documentation will further enhance our understanding of whether the intervention, as tested, yields changes in practice on advance care planning in nursing homes. The pragmatic clinical trial design used in this study accounts for real-world settings, but may have limited the study’s ability to account for and adjust for differences in staff, settings, and other conditions and factors that may impact adoption of and fidelity to the intervention. Quality improvement approaches, such as INTERACT, have targeted unnecessary hospital transfers and may yield positive results.5 Quality improvement approaches like INTERACT allow for a high degree of adaptation to local procedures and settings, which in clinical trials is difficult to do. However, in a real-world setting, such approaches may be necessary to improve care.
–William W. Hung, MD, MPH
1. Gozalo P, Teno JM, Mitchell SL, et al. End-of-life transitions among nursing home residents with cognitive issues. N Engl J Med. 2011;365:1212-1221
2. Nichols LH, Bynum J, Iwashyna TJ, et al. Advance directives and nursing home stays associated with less aggressive end-of-life care for patients with severe dementia. Health Aff (Millwood). 2014;33:667-674.
3. Volandes AE, Paasche-Orlow MK, Barry MJ, et al. Video decision support tool for advance care planning in dementia: randomized controlled trial. BMJ. 2009;338:b2159.
4. McCarthy EP, Ogarek JA, Loomer L, et al. Hospital transfer rates among US nursing home residents with advanced illness before and after initiatives to reduce hospitalizations. JAMA Intern Med. 2020;180:385-394.
5. Rantz MJ, Popejoy L, Vogelsmeier, A et al. Successfully reducing hospitalizations of nursing home residents: results of the Missouri Quality Initiative. JAMA. 2017:18;960-966.
Study Overview
Objective. To examine the effect of an advance care planning video intervention in nursing homes on resident outcomes of hospital transfer, burdensome treatment, and hospice enrollment.
Design. Pragmatic cluster randomized controlled trial.
Setting and participants. The study was conducted in 360 nursing homes located in 32 states across the United States. The facilities were owned by 2 for-profit nursing home chains; facilities with more than 50 beds were eligible to be included in the study. Facilities deemed by corporate leaders to have serious organizational problems or that lacked the ability to transfer electronic health records were excluded. The facilities, stratified by the primary outcome hospitalizations per 1000 person-days, were then randomized to intervention and control in a 1:2 ratio. Leaders from facilities in the intervention group received letters describing their selection to participate in the advance care planning video program, and all facilities invited agreed to participate. Participants (residents in nursing homes) were enrolled from February 1, 2016, to May 31, 2018. Each participant was followed for 12 months after enrollment. All residents living in intervention facilities were offered the opportunity to watch intervention videos. The target population of the study was residents with advanced illness, including advanced dementia or advanced cardiopulmonary disease, as defined by the Minimum Data Set (MDS) variables, who were aged 65 and older, were long-stay residents (100 days or more), and were enrolled as Medicare fee-for-service beneficiaries. Secondary analysis included residents without advanced illness meeting other criteria.
Intervention. The intervention consisted of a selection of 5 short videos (6 to 10 minutes each), which had been previously developed and tested in smaller randomized trials. These videos cover the topics of general goals of care, goals of care for advanced dementia, hospice, hospitalization, and advance care planning for healthy patients, and use narration and images of typical treatments representing intensive medical care, basic medical care, and comfort care. The video for goals of care for advanced dementia targeted proxies of residents rather than residents themselves.
The implementation strategy for the video program included using a program manager to oversee the organization of the program’s rollout (a manager for each for-profit nursing home chain) and 2 champions at each facility (typically social workers were tasked with showing videos to patients and families). Champions received training from the study investigators and the manager and were asked to choose and offer selected videos to residents or proxies within 7 days of admission or readmission, every 6 months during a resident’s stay, and when specific decisions occurred, such as transition to hospice care, and on special occasions, such as out-of-town family visits.
Video offering and use were captured through documentation by a facility champion using a report tool embedded in the facility’s electronic health record. Champions met with the facility’s program manager and study team to review reports of video use, identify residents who had not been shown a video, and problem-solve on how to reach these residents. Facilities in the control group used their usual procedures for advance care planning.
Main outcome measures. Study outcomes included hospitalization transfers per 1000 person-days alive among long-stay residents with advanced illness (primary outcome); proportion of residents with at least 1 hospital transfer; proportion of residents with at least 1 burdensome treatment; and hospice enrollment (secondary outcomes). Secondary outcomes also included hospitalization transfers for long-stay residents without advanced illness. Hospital transfers were identified using Medicare claims for admissions, emergency department visits, and observation stays. Burdensome treatments were identified from Medicare claims and MDS, including tube feeding, parenteral therapy, invasive mechanical intervention, and intensive care unit admission. Fidelity to video intervention was measured by the proportion of residents offered the videos and the proportion of residents shown the videos at least once during the study period.
Main results. A total of 360 facilities were included in the study, 119 intervention and 241 control facilities. For the primary outcome, 4171 residents with advanced illness were included in the intervention group and 8308 residents with advanced illness were included in the control group. The average age was 83.6 years in both groups. In the intervention and control groups, respectively, 71.2% and 70.5% were female, 78.4% and 81.5% were White, 68.6% and 70.1% had advanced dementia at baseline, and 35.4% and 33.4% had advanced congestive heart failure or chronic obstructive pulmonary disease at baseline. Approximately 34% of residents received hospice care at baseline. In the intervention and control groups, 43.9% and 45.3% of residents died during follow-up, and the average length of follow-up in each group was 253.1 days and 252.6 days, respectively.
For the primary outcome of hospital transfers per 1000 person-days alive, there were 3.7 episodes (standard error 0.2) in the intervention group and 3.9 episodes in the control group (standard error 0.3); the difference was not statistically significant. For residents without advanced illness, there also was no difference in the hospital transfer rate. For other secondary outcomes, the proportion of residents in the intervention and control groups with 1 or more hospital transfer was 40.9% and 41.6%, respectively; the proportion with 1 or more burdensome treatment was 9.6% and 10.7%; and hospice enrollment was 24.9% and 25.5%. None of these differences was statistically significant. In the intervention group, 55.6% of residents or proxies were offered the video intervention and 21.9% were shown the videos at least once. There was substantial variability in the proportion of residents in the intervention group who were shown videos.
Conclusion. The advance planning video program did not lead to a reduction in hospital transfer, burdensome treatment, or changes in hospice enrollment. Acceptance of the intervention by residents was variable, and this may have contributed to the null finding.
Commentary
Nursing home residents often have advanced illness and limited functional ability. Hospital transfers may be burdensome and of limited clinical benefit for these patients, particularly for those with advanced illness and limited life expectancy, and are associated with markers of poor quality of end-of-life care, such as increased rates of stage IV decubitus ulcer and feeding-tube use towards the end of life.1 Advance care planning is associated with less aggressive care towards the end of life for persons with advanced illness,2 which ultimately improves the quality of end-of-life care for these individuals. Prior interventions to improve advance care planning have had variable effects, while video-based interventions to improve advance care planning have shown promise.3
This pragmatic randomized trial assessed the effect of an advance care planning video program on important clinical outcomes for nursing home residents, particularly those with advanced illness. The results, however, are disappointing, as the video intervention failed to improve hospital transfer rate and burdensome treatment in this population. The negative results could be attributed to the limited adoption of the video intervention in the study, as only 21.9% of residents in the intervention group were actually exposed to the intervention. What is not reported, and is difficult to assess, is whether the video intervention led to advance care planning, as would be demonstrated by advance directive documentation and acceptance of goals of care of comfort. A per-protocol analysis may be considered to demonstrate if there is an effect on residents who were exposed to the intervention. Nonetheless, the low adoption rate of the intervention may prompt further investigation of factors limiting adoption and perhaps lead to a redesigned trial aimed at enhancing adoption, with consideration of use of implementation trial designs.
As pointed out by the study investigators, other changes to nursing home practices, specifically on hospital transfer, likely occurred during the study period. A number of national initiatives to reduce unnecessary hospital transfer from nursing homes have been introduced, and a reduction in hospital transfers occurred between 2011 and 20174; these initiatives could have impacted staff priorities and adoption of the study intervention relative to other co-occurring initiatives.
Applications for Clinical Practice
The authors of this study reported negative trial results, but their findings highlight important issues in conducting trials in the nursing home setting. Additional demonstration of actual effect on advance care planning discussions and documentation will further enhance our understanding of whether the intervention, as tested, yields changes in practice on advance care planning in nursing homes. The pragmatic clinical trial design used in this study accounts for real-world settings, but may have limited the study’s ability to account for and adjust for differences in staff, settings, and other conditions and factors that may impact adoption of and fidelity to the intervention. Quality improvement approaches, such as INTERACT, have targeted unnecessary hospital transfers and may yield positive results.5 Quality improvement approaches like INTERACT allow for a high degree of adaptation to local procedures and settings, which in clinical trials is difficult to do. However, in a real-world setting, such approaches may be necessary to improve care.
–William W. Hung, MD, MPH
Study Overview
Objective. To examine the effect of an advance care planning video intervention in nursing homes on resident outcomes of hospital transfer, burdensome treatment, and hospice enrollment.
Design. Pragmatic cluster randomized controlled trial.
Setting and participants. The study was conducted in 360 nursing homes located in 32 states across the United States. The facilities were owned by 2 for-profit nursing home chains; facilities with more than 50 beds were eligible to be included in the study. Facilities deemed by corporate leaders to have serious organizational problems or that lacked the ability to transfer electronic health records were excluded. The facilities, stratified by the primary outcome hospitalizations per 1000 person-days, were then randomized to intervention and control in a 1:2 ratio. Leaders from facilities in the intervention group received letters describing their selection to participate in the advance care planning video program, and all facilities invited agreed to participate. Participants (residents in nursing homes) were enrolled from February 1, 2016, to May 31, 2018. Each participant was followed for 12 months after enrollment. All residents living in intervention facilities were offered the opportunity to watch intervention videos. The target population of the study was residents with advanced illness, including advanced dementia or advanced cardiopulmonary disease, as defined by the Minimum Data Set (MDS) variables, who were aged 65 and older, were long-stay residents (100 days or more), and were enrolled as Medicare fee-for-service beneficiaries. Secondary analysis included residents without advanced illness meeting other criteria.
Intervention. The intervention consisted of a selection of 5 short videos (6 to 10 minutes each), which had been previously developed and tested in smaller randomized trials. These videos cover the topics of general goals of care, goals of care for advanced dementia, hospice, hospitalization, and advance care planning for healthy patients, and use narration and images of typical treatments representing intensive medical care, basic medical care, and comfort care. The video for goals of care for advanced dementia targeted proxies of residents rather than residents themselves.
The implementation strategy for the video program included using a program manager to oversee the organization of the program’s rollout (a manager for each for-profit nursing home chain) and 2 champions at each facility (typically social workers were tasked with showing videos to patients and families). Champions received training from the study investigators and the manager and were asked to choose and offer selected videos to residents or proxies within 7 days of admission or readmission, every 6 months during a resident’s stay, and when specific decisions occurred, such as transition to hospice care, and on special occasions, such as out-of-town family visits.
Video offering and use were captured through documentation by a facility champion using a report tool embedded in the facility’s electronic health record. Champions met with the facility’s program manager and study team to review reports of video use, identify residents who had not been shown a video, and problem-solve on how to reach these residents. Facilities in the control group used their usual procedures for advance care planning.
Main outcome measures. Study outcomes included hospitalization transfers per 1000 person-days alive among long-stay residents with advanced illness (primary outcome); proportion of residents with at least 1 hospital transfer; proportion of residents with at least 1 burdensome treatment; and hospice enrollment (secondary outcomes). Secondary outcomes also included hospitalization transfers for long-stay residents without advanced illness. Hospital transfers were identified using Medicare claims for admissions, emergency department visits, and observation stays. Burdensome treatments were identified from Medicare claims and MDS, including tube feeding, parenteral therapy, invasive mechanical intervention, and intensive care unit admission. Fidelity to video intervention was measured by the proportion of residents offered the videos and the proportion of residents shown the videos at least once during the study period.
Main results. A total of 360 facilities were included in the study, 119 intervention and 241 control facilities. For the primary outcome, 4171 residents with advanced illness were included in the intervention group and 8308 residents with advanced illness were included in the control group. The average age was 83.6 years in both groups. In the intervention and control groups, respectively, 71.2% and 70.5% were female, 78.4% and 81.5% were White, 68.6% and 70.1% had advanced dementia at baseline, and 35.4% and 33.4% had advanced congestive heart failure or chronic obstructive pulmonary disease at baseline. Approximately 34% of residents received hospice care at baseline. In the intervention and control groups, 43.9% and 45.3% of residents died during follow-up, and the average length of follow-up in each group was 253.1 days and 252.6 days, respectively.
For the primary outcome of hospital transfers per 1000 person-days alive, there were 3.7 episodes (standard error 0.2) in the intervention group and 3.9 episodes in the control group (standard error 0.3); the difference was not statistically significant. For residents without advanced illness, there also was no difference in the hospital transfer rate. For other secondary outcomes, the proportion of residents in the intervention and control groups with 1 or more hospital transfer was 40.9% and 41.6%, respectively; the proportion with 1 or more burdensome treatment was 9.6% and 10.7%; and hospice enrollment was 24.9% and 25.5%. None of these differences was statistically significant. In the intervention group, 55.6% of residents or proxies were offered the video intervention and 21.9% were shown the videos at least once. There was substantial variability in the proportion of residents in the intervention group who were shown videos.
Conclusion. The advance planning video program did not lead to a reduction in hospital transfer, burdensome treatment, or changes in hospice enrollment. Acceptance of the intervention by residents was variable, and this may have contributed to the null finding.
Commentary
Nursing home residents often have advanced illness and limited functional ability. Hospital transfers may be burdensome and of limited clinical benefit for these patients, particularly for those with advanced illness and limited life expectancy, and are associated with markers of poor quality of end-of-life care, such as increased rates of stage IV decubitus ulcer and feeding-tube use towards the end of life.1 Advance care planning is associated with less aggressive care towards the end of life for persons with advanced illness,2 which ultimately improves the quality of end-of-life care for these individuals. Prior interventions to improve advance care planning have had variable effects, while video-based interventions to improve advance care planning have shown promise.3
This pragmatic randomized trial assessed the effect of an advance care planning video program on important clinical outcomes for nursing home residents, particularly those with advanced illness. The results, however, are disappointing, as the video intervention failed to improve hospital transfer rate and burdensome treatment in this population. The negative results could be attributed to the limited adoption of the video intervention in the study, as only 21.9% of residents in the intervention group were actually exposed to the intervention. What is not reported, and is difficult to assess, is whether the video intervention led to advance care planning, as would be demonstrated by advance directive documentation and acceptance of goals of care of comfort. A per-protocol analysis may be considered to demonstrate if there is an effect on residents who were exposed to the intervention. Nonetheless, the low adoption rate of the intervention may prompt further investigation of factors limiting adoption and perhaps lead to a redesigned trial aimed at enhancing adoption, with consideration of use of implementation trial designs.
As pointed out by the study investigators, other changes to nursing home practices, specifically on hospital transfer, likely occurred during the study period. A number of national initiatives to reduce unnecessary hospital transfer from nursing homes have been introduced, and a reduction in hospital transfers occurred between 2011 and 20174; these initiatives could have impacted staff priorities and adoption of the study intervention relative to other co-occurring initiatives.
Applications for Clinical Practice
The authors of this study reported negative trial results, but their findings highlight important issues in conducting trials in the nursing home setting. Additional demonstration of actual effect on advance care planning discussions and documentation will further enhance our understanding of whether the intervention, as tested, yields changes in practice on advance care planning in nursing homes. The pragmatic clinical trial design used in this study accounts for real-world settings, but may have limited the study’s ability to account for and adjust for differences in staff, settings, and other conditions and factors that may impact adoption of and fidelity to the intervention. Quality improvement approaches, such as INTERACT, have targeted unnecessary hospital transfers and may yield positive results.5 Quality improvement approaches like INTERACT allow for a high degree of adaptation to local procedures and settings, which in clinical trials is difficult to do. However, in a real-world setting, such approaches may be necessary to improve care.
–William W. Hung, MD, MPH
1. Gozalo P, Teno JM, Mitchell SL, et al. End-of-life transitions among nursing home residents with cognitive issues. N Engl J Med. 2011;365:1212-1221
2. Nichols LH, Bynum J, Iwashyna TJ, et al. Advance directives and nursing home stays associated with less aggressive end-of-life care for patients with severe dementia. Health Aff (Millwood). 2014;33:667-674.
3. Volandes AE, Paasche-Orlow MK, Barry MJ, et al. Video decision support tool for advance care planning in dementia: randomized controlled trial. BMJ. 2009;338:b2159.
4. McCarthy EP, Ogarek JA, Loomer L, et al. Hospital transfer rates among US nursing home residents with advanced illness before and after initiatives to reduce hospitalizations. JAMA Intern Med. 2020;180:385-394.
5. Rantz MJ, Popejoy L, Vogelsmeier, A et al. Successfully reducing hospitalizations of nursing home residents: results of the Missouri Quality Initiative. JAMA. 2017:18;960-966.
1. Gozalo P, Teno JM, Mitchell SL, et al. End-of-life transitions among nursing home residents with cognitive issues. N Engl J Med. 2011;365:1212-1221
2. Nichols LH, Bynum J, Iwashyna TJ, et al. Advance directives and nursing home stays associated with less aggressive end-of-life care for patients with severe dementia. Health Aff (Millwood). 2014;33:667-674.
3. Volandes AE, Paasche-Orlow MK, Barry MJ, et al. Video decision support tool for advance care planning in dementia: randomized controlled trial. BMJ. 2009;338:b2159.
4. McCarthy EP, Ogarek JA, Loomer L, et al. Hospital transfer rates among US nursing home residents with advanced illness before and after initiatives to reduce hospitalizations. JAMA Intern Med. 2020;180:385-394.
5. Rantz MJ, Popejoy L, Vogelsmeier, A et al. Successfully reducing hospitalizations of nursing home residents: results of the Missouri Quality Initiative. JAMA. 2017:18;960-966.
Oral Relugolix Yields Superior Testosterone Suppression and Decreased Cardiovascular Events Compared With GnRH Agonist
Study Overview
Objective. To evaluate the safety and efficacy of the highly selective oral gonadotropin-releasing hormone (GnRH) antagonist relugolix in men with advanced prostate cancer.
Design. Global, multicenter, randomized, open-label, phase 3 trial.
Intervention. Patients were randomized in a 2:1 ratio to receive either relugolix 120 mg once daily after receiving a single loading dose of 360 mg, or 22.5 mg of leuprolide acetate every 3 months. Patients in Japan and Taiwan received 11.25 mg of leuprolide. The randomization was stratified by age (> 75 years or ≤ 75 years), metastatic disease status, and geographic region (Asia, Europe, North and South America). The intervention period was 48 weeks.
Setting and participants. 1327 patients were screened, and 934 patients underwent randomization: 622 patients to the relugolix group and 308 to the leuprolide group. Patients had histologically or cytologically confirmed adenocarcinoma of the prostate. All patients had to have 1 of the following: evidence of biochemical or clinical relapse after primary curative therapy, newly diagnosed hormone-sensitive metastatic disease, or advance localized disease unlikely to be cured by local primary intervention. The patients with disease progression or rising prostate-specific antigen (PSA) had the option to receive enzalutamide or docetaxel after the confirmation of progression. Patients were excluded if they had a major cardiovascular event within 6 months of enrollment.
Main outcome measures. The primary endpoint was sustained castration rate, defined as the cumulative probability of testosterone suppression to ≤ 50 ng/dL while on study treatment from week 5 through week 48. Secondary endpoints included noninferiority of relugolix to leuprolide in regard to sustained castration rate. Superiority testing was performed if the noninferiority margin of –10 percentage points was met. Additional secondary endpoints were probability of testosterone suppression to ≤ 50 ng/dL on day 4 and day 15 and the percentage of patients with a > 50% decrease in PSA at day 15 and follicle-stimulating hormone (FSH) levels at the end of week 24.
Main results. The baseline characteristics were well balanced between the treatment groups. Approximately 30% of the patients in each group had metastatic disease. Approximately 50% of patients enrolled had biochemical recurrence following primary treatment for prostate cancer. The mean PSA was 104.2 ng/mL in the relugolix group and 68.6 ng/mL in the leuprolide group. The majority of patients had at least 1 cardiovascular risk factor (ie, tobacco use, obesity, diabetes, hypertension, or a history of a major adverse cardiac event [MACE]). Adherence to oral therapy was reported as 99% in both groups. The median follow-up time was 52 weeks; 90% of patients in the relugolix arm and 89% in the leuprolide arm completed 48 weeks of treatment.
Sustained testosterone suppression to ≤ 50 ng/dL from day 29 through week 48 was seen in 96.7% of patients in the relugolix group and 88.8% in the leuprolide group, which was determined to be noninferior. Additionally, relugolix was also found to be superior to leuprolide in regard to sustained testosterone suppression (P < 0.001). These results were consistent across all subgroups. Relugolix was also found to be superior to leuprolide for all secondary endpoints, including cumulative probability of castration on day 4 (56% vs 0%) and day 15 (98.7% vs 12%) and testosterone suppression to ≤ 20 ng/dL on day 15 (78.4% vs 1%). Confirmed PSA response on day 15 was seen in 79.4% of patients in the relugolix arm and in 19.8% in the leuprolide arm (P < 0.001). FSH suppression was greater in the relugolix arm compared with the leuprolide arm by the end of week 24. An increase of testosterone levels from baseline was noted in the leuprolide patients at day 4, with the level decreasing to castrate level by day 29. In contrast, relugolix patients maintained castrate testosterone levels from day 4 throughout the intervention period. Testosterone recovery at 90 days was seen in 54% of patients in the relugolix group compared with 3% in the leuprolide group (P = 0.002).
The most frequent adverse event seen in both groups was hot flashes (54.3% in the relugolix group and 51.6% in the leuprolide group). The second most common adverse event report was fatigue, which occurred in 21.5% of patients in the relugolix arm and 18.5% in the leuprolide arm. Diarrhea was reported more frequently with relugolix than with leuprolide (12.2% vs 6.8%); however, diarrhea did not lead to discontinuation of therapy in any patient. Fatal events were reported more frequently in the leuprolide group (2.9%) compared with the relugolix group (1.1%). MACE were defined as nonfatal myocardial infarction, stroke, and death from any cause. After completing the intervention period of 48 weeks, the relugolix group had a 2.9% incidence of major cardiovascular events, compared with 6.2% in the leuprolide group. In patients having a medical history of cardiovascular events, the adverse event rate during the trial period was 3.6% in the relugolix group and 17.8% in leuprolide group. This translated into a 54% lower risk of MACE in the relugolix arm compared with the leuprolide arm.
Conclusion. The use of relugolix in advanced prostate cancer led to rapid, sustained suppression and faster recovery of testosterone level compared with leuprolide. Relugolix appeared safer to use for men with a medical history of cardiovascular events and showed a 54% lower risk of MACE than leuprolide.
Commentary
Relugolix is a highly selective oral GnRH antagonist that rapidly inhibits pituitary release of luteinizing hormone and FSH. The current phase 3 HERO trial highlights the efficacy of relugolix in regard to testosterone suppression, adding to potential therapeutic options for these men. Relugolix yielded superior sustained testosterone suppression to less than 50 ng/dL throughout the 48-week study period, meeting its primary endpoint. Additionally, relugolix showed superiority in all secondary endpoints across all subgroups of patients. To date, the only GnRH antagonist on the market is degarelix, which is given as a monthly subcutaneous injection.1 Injection-site reactions remain an issue with this formulation.
Cardiovascular disease is the leading cause of death in the United States, and it is known that men with prostate cancer have a higher incidence of cardiovascular disease.2 While data regarding adverse cardiac outcomes with androgen deprivation therapy have been mixed, it is thought that this therapy increases the risk for MACE. There is mounting evidence that GnRH antagonists may have a less detrimental effect on cardiovascular outcomes compared with GnRH agonists. For example, a pooled analysis of 6 phase 3 trials showed a lower incidence of cardiovascular events in men with preexisting cardiovascular disease using the GnRH antagonist degarelix compared with GnRH agonists after 12 months of treatment.3 Furthermore, a more recent phase 2 randomized trial showed that 20% of patients treated with a GnRH agonist developed cardiovascular events, compared to 3% in the GnRH antagonist group. The absolute risk reduction of cardiovascular events at 12 months was 18%.4 The results of the current trial support such findings, showing a 54% reduction in MACE after 48 weeks of therapy when compared with leuprolide (2.9% in relugolix arm vs 6.2% in leuprolide arm). More importantly perhaps, in the subgroup of men with preexisting cardiovascular disease, the benefit was even greater, with a MACE incidence of 3.6% with relugolix compared with 17.8% with leuprolide.
Studies have also shown that second-generation antiandrogens such as enzalutamide are associated with an increased risk of death from cardiovascular causes. For example, data from the recently updated PROSPER trial, which evaluated the use of enzalutamide in men with nonmetastatic, castration-resistant prostate cancer, showed an increased risk of adverse events, including falls, fatigue, hypertension, and death from cardiovascular events.5 Furthermore, adding second-generation antiandrogens to GnRH-agonist therapy is associated with a high risk of cardiovascular events in men with preexisting cardiovascular disease.3 These results were noted in all of the trials of second-generation antiandrogens, including enzalutamide, apalutamide, and darolutamide, in combination with GnRH agonists.6-8 Taken together, one might consider whether the use of a GnRH antagonist would result in improved cardiovascular outcomes in high-risk patients.
In light of the efficacy of relugolix in regard to testosterone suppression highlighted in the current trial, it is likely that its efficacy in regard to cancer outcomes will be similar; however, to date there is no level 1 evidence to support this. Nevertheless, there is a clear association of adverse cardiovascular outcomes in men treated with GnRH agonists, and the notable 54% risk reduction seen in the current trial certainly would support considering the use of a GnRH antagonist for the subgroup of patients with preexisting cardiovascular disease or those at high risk for MACE. Further work is needed to define the role of GnRH antagonists in conjunction with second-generation antiandrogens to help mitigate cardiovascular toxicities.
Clinical Implications
The use of GnRH antagonists should be considered in men with advanced prostate cancer who have underlying cardiovascular disease to help mitigate the risk of MACE. Currently, degarelix is the only commercially available agent; however, pending regulatory approval, oral relugolix may be considered an appropriate oral option in such patients, with data supporting superior testosterone suppressive effects. Further follow-up will be needed.
–Saud Alsubait, MD, Michigan State University, East Lansing, MI
–Daniel Isaac, MD, MS
1. Barkin J, Burton S, Lambert C. Optimizing subcutaneous injection of the gonadotropin-releasing hormone receptor antagonist degarelix. Can J Urol. 2016;23:8179-8183.
2. Higano CS. Cardiovascular disease and androgen axis-targeted drugs for prostate cancer. N Engl J Med. 2020;382:2257-2259.
3. Albertsen PC, Klotz L, Tombal B, et al. Cardiovascular morbidity associated with gonadotropin releasing hormone agonists and an antagonist. Eur Urol. 2014;65:565-573.
4. Margel D, Peer A, Ber Y, et al. Cardiovascular morbidity in a randomized trial comparing GnRH agonist and GnRH antagonist among patients with advanced prostate cancer and preexisting cardiovascular disease. J Urol. 2019;202:1199-1208.
5. Sternberg CN, Fizazi K, Saad F, et al. Enzalutamide and survival in nonmetastatic, castration-resistant prostate cancer. N Engl J Med. 2020;382:2197-2206.
6. Smith MR, Saad F, Chowdhury S, et al. Apalutamide treatment and metastasis-free survival in prostate cancer. N Engl J Med. 2018;378:1408-1418.
7. Fizazi K, Shore N, Tammela TL, et al. Darolutamide in nonmetastatic, castration-resistant prostate cancer. N Engl J Med. 2019;380:1235-1246.
Study Overview
Objective. To evaluate the safety and efficacy of the highly selective oral gonadotropin-releasing hormone (GnRH) antagonist relugolix in men with advanced prostate cancer.
Design. Global, multicenter, randomized, open-label, phase 3 trial.
Intervention. Patients were randomized in a 2:1 ratio to receive either relugolix 120 mg once daily after receiving a single loading dose of 360 mg, or 22.5 mg of leuprolide acetate every 3 months. Patients in Japan and Taiwan received 11.25 mg of leuprolide. The randomization was stratified by age (> 75 years or ≤ 75 years), metastatic disease status, and geographic region (Asia, Europe, North and South America). The intervention period was 48 weeks.
Setting and participants. 1327 patients were screened, and 934 patients underwent randomization: 622 patients to the relugolix group and 308 to the leuprolide group. Patients had histologically or cytologically confirmed adenocarcinoma of the prostate. All patients had to have 1 of the following: evidence of biochemical or clinical relapse after primary curative therapy, newly diagnosed hormone-sensitive metastatic disease, or advance localized disease unlikely to be cured by local primary intervention. The patients with disease progression or rising prostate-specific antigen (PSA) had the option to receive enzalutamide or docetaxel after the confirmation of progression. Patients were excluded if they had a major cardiovascular event within 6 months of enrollment.
Main outcome measures. The primary endpoint was sustained castration rate, defined as the cumulative probability of testosterone suppression to ≤ 50 ng/dL while on study treatment from week 5 through week 48. Secondary endpoints included noninferiority of relugolix to leuprolide in regard to sustained castration rate. Superiority testing was performed if the noninferiority margin of –10 percentage points was met. Additional secondary endpoints were probability of testosterone suppression to ≤ 50 ng/dL on day 4 and day 15 and the percentage of patients with a > 50% decrease in PSA at day 15 and follicle-stimulating hormone (FSH) levels at the end of week 24.
Main results. The baseline characteristics were well balanced between the treatment groups. Approximately 30% of the patients in each group had metastatic disease. Approximately 50% of patients enrolled had biochemical recurrence following primary treatment for prostate cancer. The mean PSA was 104.2 ng/mL in the relugolix group and 68.6 ng/mL in the leuprolide group. The majority of patients had at least 1 cardiovascular risk factor (ie, tobacco use, obesity, diabetes, hypertension, or a history of a major adverse cardiac event [MACE]). Adherence to oral therapy was reported as 99% in both groups. The median follow-up time was 52 weeks; 90% of patients in the relugolix arm and 89% in the leuprolide arm completed 48 weeks of treatment.
Sustained testosterone suppression to ≤ 50 ng/dL from day 29 through week 48 was seen in 96.7% of patients in the relugolix group and 88.8% in the leuprolide group, which was determined to be noninferior. Additionally, relugolix was also found to be superior to leuprolide in regard to sustained testosterone suppression (P < 0.001). These results were consistent across all subgroups. Relugolix was also found to be superior to leuprolide for all secondary endpoints, including cumulative probability of castration on day 4 (56% vs 0%) and day 15 (98.7% vs 12%) and testosterone suppression to ≤ 20 ng/dL on day 15 (78.4% vs 1%). Confirmed PSA response on day 15 was seen in 79.4% of patients in the relugolix arm and in 19.8% in the leuprolide arm (P < 0.001). FSH suppression was greater in the relugolix arm compared with the leuprolide arm by the end of week 24. An increase of testosterone levels from baseline was noted in the leuprolide patients at day 4, with the level decreasing to castrate level by day 29. In contrast, relugolix patients maintained castrate testosterone levels from day 4 throughout the intervention period. Testosterone recovery at 90 days was seen in 54% of patients in the relugolix group compared with 3% in the leuprolide group (P = 0.002).
The most frequent adverse event seen in both groups was hot flashes (54.3% in the relugolix group and 51.6% in the leuprolide group). The second most common adverse event report was fatigue, which occurred in 21.5% of patients in the relugolix arm and 18.5% in the leuprolide arm. Diarrhea was reported more frequently with relugolix than with leuprolide (12.2% vs 6.8%); however, diarrhea did not lead to discontinuation of therapy in any patient. Fatal events were reported more frequently in the leuprolide group (2.9%) compared with the relugolix group (1.1%). MACE were defined as nonfatal myocardial infarction, stroke, and death from any cause. After completing the intervention period of 48 weeks, the relugolix group had a 2.9% incidence of major cardiovascular events, compared with 6.2% in the leuprolide group. In patients having a medical history of cardiovascular events, the adverse event rate during the trial period was 3.6% in the relugolix group and 17.8% in leuprolide group. This translated into a 54% lower risk of MACE in the relugolix arm compared with the leuprolide arm.
Conclusion. The use of relugolix in advanced prostate cancer led to rapid, sustained suppression and faster recovery of testosterone level compared with leuprolide. Relugolix appeared safer to use for men with a medical history of cardiovascular events and showed a 54% lower risk of MACE than leuprolide.
Commentary
Relugolix is a highly selective oral GnRH antagonist that rapidly inhibits pituitary release of luteinizing hormone and FSH. The current phase 3 HERO trial highlights the efficacy of relugolix in regard to testosterone suppression, adding to potential therapeutic options for these men. Relugolix yielded superior sustained testosterone suppression to less than 50 ng/dL throughout the 48-week study period, meeting its primary endpoint. Additionally, relugolix showed superiority in all secondary endpoints across all subgroups of patients. To date, the only GnRH antagonist on the market is degarelix, which is given as a monthly subcutaneous injection.1 Injection-site reactions remain an issue with this formulation.
Cardiovascular disease is the leading cause of death in the United States, and it is known that men with prostate cancer have a higher incidence of cardiovascular disease.2 While data regarding adverse cardiac outcomes with androgen deprivation therapy have been mixed, it is thought that this therapy increases the risk for MACE. There is mounting evidence that GnRH antagonists may have a less detrimental effect on cardiovascular outcomes compared with GnRH agonists. For example, a pooled analysis of 6 phase 3 trials showed a lower incidence of cardiovascular events in men with preexisting cardiovascular disease using the GnRH antagonist degarelix compared with GnRH agonists after 12 months of treatment.3 Furthermore, a more recent phase 2 randomized trial showed that 20% of patients treated with a GnRH agonist developed cardiovascular events, compared to 3% in the GnRH antagonist group. The absolute risk reduction of cardiovascular events at 12 months was 18%.4 The results of the current trial support such findings, showing a 54% reduction in MACE after 48 weeks of therapy when compared with leuprolide (2.9% in relugolix arm vs 6.2% in leuprolide arm). More importantly perhaps, in the subgroup of men with preexisting cardiovascular disease, the benefit was even greater, with a MACE incidence of 3.6% with relugolix compared with 17.8% with leuprolide.
Studies have also shown that second-generation antiandrogens such as enzalutamide are associated with an increased risk of death from cardiovascular causes. For example, data from the recently updated PROSPER trial, which evaluated the use of enzalutamide in men with nonmetastatic, castration-resistant prostate cancer, showed an increased risk of adverse events, including falls, fatigue, hypertension, and death from cardiovascular events.5 Furthermore, adding second-generation antiandrogens to GnRH-agonist therapy is associated with a high risk of cardiovascular events in men with preexisting cardiovascular disease.3 These results were noted in all of the trials of second-generation antiandrogens, including enzalutamide, apalutamide, and darolutamide, in combination with GnRH agonists.6-8 Taken together, one might consider whether the use of a GnRH antagonist would result in improved cardiovascular outcomes in high-risk patients.
In light of the efficacy of relugolix in regard to testosterone suppression highlighted in the current trial, it is likely that its efficacy in regard to cancer outcomes will be similar; however, to date there is no level 1 evidence to support this. Nevertheless, there is a clear association of adverse cardiovascular outcomes in men treated with GnRH agonists, and the notable 54% risk reduction seen in the current trial certainly would support considering the use of a GnRH antagonist for the subgroup of patients with preexisting cardiovascular disease or those at high risk for MACE. Further work is needed to define the role of GnRH antagonists in conjunction with second-generation antiandrogens to help mitigate cardiovascular toxicities.
Clinical Implications
The use of GnRH antagonists should be considered in men with advanced prostate cancer who have underlying cardiovascular disease to help mitigate the risk of MACE. Currently, degarelix is the only commercially available agent; however, pending regulatory approval, oral relugolix may be considered an appropriate oral option in such patients, with data supporting superior testosterone suppressive effects. Further follow-up will be needed.
–Saud Alsubait, MD, Michigan State University, East Lansing, MI
–Daniel Isaac, MD, MS
Study Overview
Objective. To evaluate the safety and efficacy of the highly selective oral gonadotropin-releasing hormone (GnRH) antagonist relugolix in men with advanced prostate cancer.
Design. Global, multicenter, randomized, open-label, phase 3 trial.
Intervention. Patients were randomized in a 2:1 ratio to receive either relugolix 120 mg once daily after receiving a single loading dose of 360 mg, or 22.5 mg of leuprolide acetate every 3 months. Patients in Japan and Taiwan received 11.25 mg of leuprolide. The randomization was stratified by age (> 75 years or ≤ 75 years), metastatic disease status, and geographic region (Asia, Europe, North and South America). The intervention period was 48 weeks.
Setting and participants. 1327 patients were screened, and 934 patients underwent randomization: 622 patients to the relugolix group and 308 to the leuprolide group. Patients had histologically or cytologically confirmed adenocarcinoma of the prostate. All patients had to have 1 of the following: evidence of biochemical or clinical relapse after primary curative therapy, newly diagnosed hormone-sensitive metastatic disease, or advance localized disease unlikely to be cured by local primary intervention. The patients with disease progression or rising prostate-specific antigen (PSA) had the option to receive enzalutamide or docetaxel after the confirmation of progression. Patients were excluded if they had a major cardiovascular event within 6 months of enrollment.
Main outcome measures. The primary endpoint was sustained castration rate, defined as the cumulative probability of testosterone suppression to ≤ 50 ng/dL while on study treatment from week 5 through week 48. Secondary endpoints included noninferiority of relugolix to leuprolide in regard to sustained castration rate. Superiority testing was performed if the noninferiority margin of –10 percentage points was met. Additional secondary endpoints were probability of testosterone suppression to ≤ 50 ng/dL on day 4 and day 15 and the percentage of patients with a > 50% decrease in PSA at day 15 and follicle-stimulating hormone (FSH) levels at the end of week 24.
Main results. The baseline characteristics were well balanced between the treatment groups. Approximately 30% of the patients in each group had metastatic disease. Approximately 50% of patients enrolled had biochemical recurrence following primary treatment for prostate cancer. The mean PSA was 104.2 ng/mL in the relugolix group and 68.6 ng/mL in the leuprolide group. The majority of patients had at least 1 cardiovascular risk factor (ie, tobacco use, obesity, diabetes, hypertension, or a history of a major adverse cardiac event [MACE]). Adherence to oral therapy was reported as 99% in both groups. The median follow-up time was 52 weeks; 90% of patients in the relugolix arm and 89% in the leuprolide arm completed 48 weeks of treatment.
Sustained testosterone suppression to ≤ 50 ng/dL from day 29 through week 48 was seen in 96.7% of patients in the relugolix group and 88.8% in the leuprolide group, which was determined to be noninferior. Additionally, relugolix was also found to be superior to leuprolide in regard to sustained testosterone suppression (P < 0.001). These results were consistent across all subgroups. Relugolix was also found to be superior to leuprolide for all secondary endpoints, including cumulative probability of castration on day 4 (56% vs 0%) and day 15 (98.7% vs 12%) and testosterone suppression to ≤ 20 ng/dL on day 15 (78.4% vs 1%). Confirmed PSA response on day 15 was seen in 79.4% of patients in the relugolix arm and in 19.8% in the leuprolide arm (P < 0.001). FSH suppression was greater in the relugolix arm compared with the leuprolide arm by the end of week 24. An increase of testosterone levels from baseline was noted in the leuprolide patients at day 4, with the level decreasing to castrate level by day 29. In contrast, relugolix patients maintained castrate testosterone levels from day 4 throughout the intervention period. Testosterone recovery at 90 days was seen in 54% of patients in the relugolix group compared with 3% in the leuprolide group (P = 0.002).
The most frequent adverse event seen in both groups was hot flashes (54.3% in the relugolix group and 51.6% in the leuprolide group). The second most common adverse event report was fatigue, which occurred in 21.5% of patients in the relugolix arm and 18.5% in the leuprolide arm. Diarrhea was reported more frequently with relugolix than with leuprolide (12.2% vs 6.8%); however, diarrhea did not lead to discontinuation of therapy in any patient. Fatal events were reported more frequently in the leuprolide group (2.9%) compared with the relugolix group (1.1%). MACE were defined as nonfatal myocardial infarction, stroke, and death from any cause. After completing the intervention period of 48 weeks, the relugolix group had a 2.9% incidence of major cardiovascular events, compared with 6.2% in the leuprolide group. In patients having a medical history of cardiovascular events, the adverse event rate during the trial period was 3.6% in the relugolix group and 17.8% in leuprolide group. This translated into a 54% lower risk of MACE in the relugolix arm compared with the leuprolide arm.
Conclusion. The use of relugolix in advanced prostate cancer led to rapid, sustained suppression and faster recovery of testosterone level compared with leuprolide. Relugolix appeared safer to use for men with a medical history of cardiovascular events and showed a 54% lower risk of MACE than leuprolide.
Commentary
Relugolix is a highly selective oral GnRH antagonist that rapidly inhibits pituitary release of luteinizing hormone and FSH. The current phase 3 HERO trial highlights the efficacy of relugolix in regard to testosterone suppression, adding to potential therapeutic options for these men. Relugolix yielded superior sustained testosterone suppression to less than 50 ng/dL throughout the 48-week study period, meeting its primary endpoint. Additionally, relugolix showed superiority in all secondary endpoints across all subgroups of patients. To date, the only GnRH antagonist on the market is degarelix, which is given as a monthly subcutaneous injection.1 Injection-site reactions remain an issue with this formulation.
Cardiovascular disease is the leading cause of death in the United States, and it is known that men with prostate cancer have a higher incidence of cardiovascular disease.2 While data regarding adverse cardiac outcomes with androgen deprivation therapy have been mixed, it is thought that this therapy increases the risk for MACE. There is mounting evidence that GnRH antagonists may have a less detrimental effect on cardiovascular outcomes compared with GnRH agonists. For example, a pooled analysis of 6 phase 3 trials showed a lower incidence of cardiovascular events in men with preexisting cardiovascular disease using the GnRH antagonist degarelix compared with GnRH agonists after 12 months of treatment.3 Furthermore, a more recent phase 2 randomized trial showed that 20% of patients treated with a GnRH agonist developed cardiovascular events, compared to 3% in the GnRH antagonist group. The absolute risk reduction of cardiovascular events at 12 months was 18%.4 The results of the current trial support such findings, showing a 54% reduction in MACE after 48 weeks of therapy when compared with leuprolide (2.9% in relugolix arm vs 6.2% in leuprolide arm). More importantly perhaps, in the subgroup of men with preexisting cardiovascular disease, the benefit was even greater, with a MACE incidence of 3.6% with relugolix compared with 17.8% with leuprolide.
Studies have also shown that second-generation antiandrogens such as enzalutamide are associated with an increased risk of death from cardiovascular causes. For example, data from the recently updated PROSPER trial, which evaluated the use of enzalutamide in men with nonmetastatic, castration-resistant prostate cancer, showed an increased risk of adverse events, including falls, fatigue, hypertension, and death from cardiovascular events.5 Furthermore, adding second-generation antiandrogens to GnRH-agonist therapy is associated with a high risk of cardiovascular events in men with preexisting cardiovascular disease.3 These results were noted in all of the trials of second-generation antiandrogens, including enzalutamide, apalutamide, and darolutamide, in combination with GnRH agonists.6-8 Taken together, one might consider whether the use of a GnRH antagonist would result in improved cardiovascular outcomes in high-risk patients.
In light of the efficacy of relugolix in regard to testosterone suppression highlighted in the current trial, it is likely that its efficacy in regard to cancer outcomes will be similar; however, to date there is no level 1 evidence to support this. Nevertheless, there is a clear association of adverse cardiovascular outcomes in men treated with GnRH agonists, and the notable 54% risk reduction seen in the current trial certainly would support considering the use of a GnRH antagonist for the subgroup of patients with preexisting cardiovascular disease or those at high risk for MACE. Further work is needed to define the role of GnRH antagonists in conjunction with second-generation antiandrogens to help mitigate cardiovascular toxicities.
Clinical Implications
The use of GnRH antagonists should be considered in men with advanced prostate cancer who have underlying cardiovascular disease to help mitigate the risk of MACE. Currently, degarelix is the only commercially available agent; however, pending regulatory approval, oral relugolix may be considered an appropriate oral option in such patients, with data supporting superior testosterone suppressive effects. Further follow-up will be needed.
–Saud Alsubait, MD, Michigan State University, East Lansing, MI
–Daniel Isaac, MD, MS
1. Barkin J, Burton S, Lambert C. Optimizing subcutaneous injection of the gonadotropin-releasing hormone receptor antagonist degarelix. Can J Urol. 2016;23:8179-8183.
2. Higano CS. Cardiovascular disease and androgen axis-targeted drugs for prostate cancer. N Engl J Med. 2020;382:2257-2259.
3. Albertsen PC, Klotz L, Tombal B, et al. Cardiovascular morbidity associated with gonadotropin releasing hormone agonists and an antagonist. Eur Urol. 2014;65:565-573.
4. Margel D, Peer A, Ber Y, et al. Cardiovascular morbidity in a randomized trial comparing GnRH agonist and GnRH antagonist among patients with advanced prostate cancer and preexisting cardiovascular disease. J Urol. 2019;202:1199-1208.
5. Sternberg CN, Fizazi K, Saad F, et al. Enzalutamide and survival in nonmetastatic, castration-resistant prostate cancer. N Engl J Med. 2020;382:2197-2206.
6. Smith MR, Saad F, Chowdhury S, et al. Apalutamide treatment and metastasis-free survival in prostate cancer. N Engl J Med. 2018;378:1408-1418.
7. Fizazi K, Shore N, Tammela TL, et al. Darolutamide in nonmetastatic, castration-resistant prostate cancer. N Engl J Med. 2019;380:1235-1246.
1. Barkin J, Burton S, Lambert C. Optimizing subcutaneous injection of the gonadotropin-releasing hormone receptor antagonist degarelix. Can J Urol. 2016;23:8179-8183.
2. Higano CS. Cardiovascular disease and androgen axis-targeted drugs for prostate cancer. N Engl J Med. 2020;382:2257-2259.
3. Albertsen PC, Klotz L, Tombal B, et al. Cardiovascular morbidity associated with gonadotropin releasing hormone agonists and an antagonist. Eur Urol. 2014;65:565-573.
4. Margel D, Peer A, Ber Y, et al. Cardiovascular morbidity in a randomized trial comparing GnRH agonist and GnRH antagonist among patients with advanced prostate cancer and preexisting cardiovascular disease. J Urol. 2019;202:1199-1208.
5. Sternberg CN, Fizazi K, Saad F, et al. Enzalutamide and survival in nonmetastatic, castration-resistant prostate cancer. N Engl J Med. 2020;382:2197-2206.
6. Smith MR, Saad F, Chowdhury S, et al. Apalutamide treatment and metastasis-free survival in prostate cancer. N Engl J Med. 2018;378:1408-1418.
7. Fizazi K, Shore N, Tammela TL, et al. Darolutamide in nonmetastatic, castration-resistant prostate cancer. N Engl J Med. 2019;380:1235-1246.
Remdesivir Reduces Time to Recovery in Adults Hospitalized With COVID-19: A Meaningful Step in Therapeutic Discovery
Study Overview
Objective. To assess the clinical efficacy and safety of remdesivir in hospitalized adults with laboratory-confirmed COVID-19 and with evidence of lower respiratory tract involvement.
Design. Double-blinded, randomized, placebo-controlled, multicenter trial.
Setting and participants. Enrollment for the study took place between February 21, 2020, and April 19, 2020, at 60 trial sites and 13 subsites in the United States, Denmark, the United Kingdom, Greece, Germany, Korea, Mexico, Spain, Japan, and Singapore. Study participants included patients aged ≥ 18 years who were hospitalized and had laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, as determined by a positive reverse transcription polymerase chain reaction assay on a respiratory specimen. Participants had evidence of lower respiratory tract infection at the time of enrollment; this was defined as radiographic infiltrates by imaging study, peripheral oxygen saturation (SpO2) ≤ 94% on room air, or requiring supplemental oxygen, mechanical ventilation, or extracorporeal membrane oxygenation (ECMO). Exclusion criteria for study participation included abnormal liver enzymes (alanine aminotransferase, aspartate aminotransferase) more than 5 times the upper limit of normal range; impaired renal function or need for hemodialysis or hemofiltration; pregnancy or breastfeeding; or anticipated hospital discharge or transfer to another hospital within 72 hours of enrollment.
Intervention. Participants were randomized in a 1:1 ratio to the remdesivir group or the placebo group and were administered either intravenous infusions of remdesivir (200-mg loading dose on day 1, followed by a 100-mg maintenance dose daily on days 2 through 10, or until hospital discharge or death) or placebo for up to 10 days. Blinding was maintained by masking infusions with an opaque bag and tubing. Randomization was stratified by study site and disease severity at enrollment. Supportive care was delivered to all participants according to the standard of care at each trial site hospital. Clinical status, determined using an 8-category ordinal scale and the National Early Warning Score, was assessed daily for each participant while hospitalized (day 1 through day 29).
Blood samples for safety laboratory tests were collected, and oropharyngeal or nasopharyngeal swab testing was performed for viral RNA detection and quantification on days 1, 3, 5, 8, and 11. All serious adverse events (AEs) and grade 3/4 AEs that represented an increase in severity from day 1 and any grade 2 or higher suspected drug-related hypersensitivity reactions associated with the study drug or placebo administration were recorded.
Main outcome measures. The primary endpoint measure of this study was time to recovery, defined as the first day during the 28 days after enrollment on which a participant satisfied category 1 (ie, not hospitalized, no limitations of activities), 2 (ie, not hospitalized, limitation of activities, home oxygen requirement, or both), or 3 (ie, hospitalized, not requiring supplemental oxygen and no longer requiring ongoing medical care; hospitalization was extended for infection-control reason) on the 8-category ordinal scale. Secondary outcomes included all-cause mortality at 14 and 28 days after enrollment and grade 3/4 AEs and serious AEs that occurred during trial participation. Analysis of the primary outcome was performed using a log-rank test of the time to recovery comparing remdesivir with placebo group, stratified by disease severity.
The study’s primary outcome was initially defined as a difference in clinical status as ascertained by the 8-category ordinal scale between groups of participants who were administered remdesivir versus placebo on day 15. Because of new knowledge gained external to the study about a more protracted COVID-19 clinical course than previously recognized, a change in primary outcome to time to recovery was proposed by trial statisticians, who were unaware of treatment assignments (72 participants had been enrolled) or outcome data (no interim data) on March 22, 2020, with subsequent amendment approval on April 2, 2020. On April 27, 2020, the Data and Safety Monitoring Board (DSMB) reviewed the interim study analysis (with data cutoff date of April 22, 2020) and recommended the report and mortality data to be provided to trial team members from the National Institute of Allergy and Infectious Diseases; these findings were subsequently made public.
Main results. A total of 1107 patients were assessed for eligibility, of whom 1063 underwent randomization, with 541 assigned to remdesivir and 522 to placebo. Results were unblinded early at the recommendation of DSMB due to findings from the interim analysis that showed reduced time to recovery in the group that received remdesivir. As of April 28, 2020, a total of 391 participants in the remdesivir group and 340 participants in the placebo group had completed the trial (day 29), recovered, or died. The mean age of participants was 58.9 ± 15.0 years, the majority were men (64.3%) and were White (53.2%), and the most common prespecified coexisting conditions were hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The vast majority of participants (88.7%) had severe COVID-19 disease at enrollment, defined as requiring invasive or noninvasive mechanical ventilation, requiring supplemental oxygen, SpO2 ≤ 94% on room air, or tachypnea (respiratory rate ≥ 24 breaths per minute).
Based on available data from 1059 participants (538 from the remdesivir group and 521 from the placebo group), those in the remdesivir group had a shorter median recovery time of 11 days (95% confidence interval [CI], 9-12) as compared to 15 days (95% CI, 13-19) in the placebo group, with a rate ratio for recovery of 1.32 (95% CI, 1.12-1.55; P < 0.001). Moreover, the odds of improvement on day 15 in the 8-category ordinal scale score were higher in the remdesivir group, compared to the placebo group (proportional odds model; odds ratio, 1.50; 95% CI, 1.18-1.91; P = 0.001; 844 participants).
Mortality rate by 14 days was numerically lower in the remdesivir group (7.1%) compared to the placebo group (11.9%), but the difference was not statistically significant (Kaplan-Meier, hazard ratio for death, 0.70; 95% CI, 0.47-1.04). Serious AEs were reported in 114 of the 541 (21.1%) participants in the remdesivir group and 141 of the 522 (27.0%) participants in the placebo group. Moreover, grade 3/4 AEs occurred in 156 (28.8%) participants in the remdesivir group and in 172 (33.0%) in the placebo group.
Conclusion. The study found that remdesivir, compared to placebo, significantly shortened time to recovery in adult patients hospitalized with COVID-19 who had evidence of lower respiratory tract infection.
Commentary
Since the initial reporting of a cluster of cases of pneumonia in Wuhan, China, on December 31, 2019, SARS-CoV-2 has been identified as the cause of this new disease (COVID-19), and to-date SARS-CoV-2 infection has affected more than 15.2 million people globally, with more than 3.9 million cases in the United States alone.1 Despite an unprecedented global research effort, as well as public-private research partnerships, both in terms of scale and scope, an effective pharmacologic therapy for COVID-19 has so far eluded the scientific and medical community. Early trials of hydroxychloroquine and lopinavir-ritonavir did not demonstrate a clinical benefit in patients with COVID-19.2,3 Moreover, the first randomized controlled trial of remdesivir in COVID-19, a nucleoside analogue prodrug and a broad-spectrum antiviral agent previously shown to have inhibitory effects on pathogenic coronaviruses, was an underpowered study, and thus inconclusive.4 Thus, given the persistence of the COVID-19 pandemic and a current lack of effective vaccines or curative treatments, the study reported by Beigel and colleagues is timely and provides much needed knowledge in developing potential therapies for COVID-19.
The present report described the preliminary results of the first stage of the Adaptive Covid-19 Treatment Trial (ACCT-1), which aimed to evaluate the clinical efficacy and safety of intravenous remdesivir, as compared to placebo, in hospitalized adults with laboratory-confirmed COVID-19. The study itself was well-designed and conducted. The successful enrollment of more than 1000 participants randomized in a 1:1 ratio within a 2-month recruitment window, involving 60 international trial sites, shortly after the emergence of a new global pandemic was remarkable. This study provided the first evidence that remdesivir, an antiviral, can shorten time to recovery by approximately 31% compared to placebo in COVID-19 patients with lower respiratory tract involvement.
Interestingly, this beneficial effect of remdesivir on time to recovery was primarily observed in participants within the severe disease stratum (those requiring supplemental oxygen) at baseline (12 days in remdesivir group versus 18 days in placebo group), but not in those with mild-moderate disease at the time of study enrollment (5 days in either remdesivir or placebo group). Moreover, the beneficial effects of remdesivir on reducing time to recovery was not observed in participants who required mechanical ventilation or ECMO at enrollment. Thus, these preliminary results suggest that COVID-19 disease severity and timing, particularly in patients who require supplemental oxygen but prior to disease progression towards requiring mechanical ventilation, may present a window of opportunity to initiate remdesivir treatment in order to improve outcomes. Further analysis utilizing data from the entire cohort, including outcomes data from the full 28-day follow-up period, may better delineate the subgroup of hospitalized COVID-19 patients who may benefit most from remdesivir. Last, safety data from the present study, along with that reported by Wang and colleagues,4 provides evidence that intravenous remdesivir administration is likely safe in adults during the treatment period.
The preliminary results from the ACCT-1 provide early evidence that remdesivir shortens time to recovery in adult patients hospitalized for COVID-19 with pulmonary involvement. In light of these results, the US Food and Drug Administration issued an emergency use authorization for remdesivir on May 1, 2020, for the treatment of suspected or laboratory-confirmed COVID-19 in adults and children hospitalized with severe disease.5 In addition, remdesivir has also recently been approved as a therapy for COVID-19 in Japan, Taiwan, India, Singapore, and the United Arab Emirates, and has received conditional approval for use by the European Commission.6
Although these are encouraging developments in the race to identify effective therapeutics for COVID-19, a number of unanswered questions regarding the administration of remdesivir in the treatment of this disease remain. For instance, in an open-label, randomized, multicenter trial of patients with severe COVID-19 not requiring mechanical ventilation, treatment with a 5-day course versus a 10-day course of intravenous remdesivir did not result in a significant difference in efficacy.7 Thus, more studies are needed to better determine the shortest effective duration of remdesivir therapy in COVID-19 patients with different disease severity. Also, the mortality rate in COVID-19 patients who were treated with remdesivir remained high in the current study. Therefore, there is ample opportunity to evaluate treatment strategies, including multidrug interventions with remdesivir, to reduce mortality and improve clinical outcomes in patients hospitalized with COVID-19.
Applications for Clinical Practice
Remdesivir shortens time to recovery in adult patients hospitalized with COVID-19 who require supplemental oxygen therapy. While much needs to be learned in order to optimize treatment of COVID-19, preliminary findings from the current study provide an important first step towards these discoveries.
–Fred Ko, MD, MS
1. Johns Hopkins University Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html. Accessed July 16, 2020.
2. Tang W, Cao Z, Han M, et al. Hydroxychloroquine in patients with COVID-19: an open-label, randomized, controlled trial [published online April 14, 2020]. medRxiv 2020; doi:10.1101/2020.04.10.20060558.
3. Cao B, Wang Y, Wen D, et al. A trial of lopinavir–ritonavir in adults hospitalized with severe COVID-19. N Engl J Med. 2020;382:1787-1799.
4. Wang Y, Zhang D, Du G, et al. Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial. Lancet. 2020;395:1569-1578.
5. Coronavirus (COVID-19) update: FDA issues Emergency Use Authorization for potential COVID-19 treatment. www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-issues-emergency-use-authorization-potential-covid-19-treatment. Accessed July 16, 2020.
6. Gilead’s COVID-19 antiviral remdesivir gets conditional EU clearance. www.reuters.com/article/us-health-coronavirus-eu-remdesivir/gileads-covid-19-antiviral-remdesivir-gets-conditional-eu-clearance-idUSKBN2441GK. Accessed July 6, 2020.
7. Goldman JD, Lye DCB, Hui DS, et al. Remdesivir for 5 or 10 days in patients with severe COVID-19. N Engl J Med. 2020 May 27.doi: 10.1056/NEJMoa2015301. Online ahead of print.
Study Overview
Objective. To assess the clinical efficacy and safety of remdesivir in hospitalized adults with laboratory-confirmed COVID-19 and with evidence of lower respiratory tract involvement.
Design. Double-blinded, randomized, placebo-controlled, multicenter trial.
Setting and participants. Enrollment for the study took place between February 21, 2020, and April 19, 2020, at 60 trial sites and 13 subsites in the United States, Denmark, the United Kingdom, Greece, Germany, Korea, Mexico, Spain, Japan, and Singapore. Study participants included patients aged ≥ 18 years who were hospitalized and had laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, as determined by a positive reverse transcription polymerase chain reaction assay on a respiratory specimen. Participants had evidence of lower respiratory tract infection at the time of enrollment; this was defined as radiographic infiltrates by imaging study, peripheral oxygen saturation (SpO2) ≤ 94% on room air, or requiring supplemental oxygen, mechanical ventilation, or extracorporeal membrane oxygenation (ECMO). Exclusion criteria for study participation included abnormal liver enzymes (alanine aminotransferase, aspartate aminotransferase) more than 5 times the upper limit of normal range; impaired renal function or need for hemodialysis or hemofiltration; pregnancy or breastfeeding; or anticipated hospital discharge or transfer to another hospital within 72 hours of enrollment.
Intervention. Participants were randomized in a 1:1 ratio to the remdesivir group or the placebo group and were administered either intravenous infusions of remdesivir (200-mg loading dose on day 1, followed by a 100-mg maintenance dose daily on days 2 through 10, or until hospital discharge or death) or placebo for up to 10 days. Blinding was maintained by masking infusions with an opaque bag and tubing. Randomization was stratified by study site and disease severity at enrollment. Supportive care was delivered to all participants according to the standard of care at each trial site hospital. Clinical status, determined using an 8-category ordinal scale and the National Early Warning Score, was assessed daily for each participant while hospitalized (day 1 through day 29).
Blood samples for safety laboratory tests were collected, and oropharyngeal or nasopharyngeal swab testing was performed for viral RNA detection and quantification on days 1, 3, 5, 8, and 11. All serious adverse events (AEs) and grade 3/4 AEs that represented an increase in severity from day 1 and any grade 2 or higher suspected drug-related hypersensitivity reactions associated with the study drug or placebo administration were recorded.
Main outcome measures. The primary endpoint measure of this study was time to recovery, defined as the first day during the 28 days after enrollment on which a participant satisfied category 1 (ie, not hospitalized, no limitations of activities), 2 (ie, not hospitalized, limitation of activities, home oxygen requirement, or both), or 3 (ie, hospitalized, not requiring supplemental oxygen and no longer requiring ongoing medical care; hospitalization was extended for infection-control reason) on the 8-category ordinal scale. Secondary outcomes included all-cause mortality at 14 and 28 days after enrollment and grade 3/4 AEs and serious AEs that occurred during trial participation. Analysis of the primary outcome was performed using a log-rank test of the time to recovery comparing remdesivir with placebo group, stratified by disease severity.
The study’s primary outcome was initially defined as a difference in clinical status as ascertained by the 8-category ordinal scale between groups of participants who were administered remdesivir versus placebo on day 15. Because of new knowledge gained external to the study about a more protracted COVID-19 clinical course than previously recognized, a change in primary outcome to time to recovery was proposed by trial statisticians, who were unaware of treatment assignments (72 participants had been enrolled) or outcome data (no interim data) on March 22, 2020, with subsequent amendment approval on April 2, 2020. On April 27, 2020, the Data and Safety Monitoring Board (DSMB) reviewed the interim study analysis (with data cutoff date of April 22, 2020) and recommended the report and mortality data to be provided to trial team members from the National Institute of Allergy and Infectious Diseases; these findings were subsequently made public.
Main results. A total of 1107 patients were assessed for eligibility, of whom 1063 underwent randomization, with 541 assigned to remdesivir and 522 to placebo. Results were unblinded early at the recommendation of DSMB due to findings from the interim analysis that showed reduced time to recovery in the group that received remdesivir. As of April 28, 2020, a total of 391 participants in the remdesivir group and 340 participants in the placebo group had completed the trial (day 29), recovered, or died. The mean age of participants was 58.9 ± 15.0 years, the majority were men (64.3%) and were White (53.2%), and the most common prespecified coexisting conditions were hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The vast majority of participants (88.7%) had severe COVID-19 disease at enrollment, defined as requiring invasive or noninvasive mechanical ventilation, requiring supplemental oxygen, SpO2 ≤ 94% on room air, or tachypnea (respiratory rate ≥ 24 breaths per minute).
Based on available data from 1059 participants (538 from the remdesivir group and 521 from the placebo group), those in the remdesivir group had a shorter median recovery time of 11 days (95% confidence interval [CI], 9-12) as compared to 15 days (95% CI, 13-19) in the placebo group, with a rate ratio for recovery of 1.32 (95% CI, 1.12-1.55; P < 0.001). Moreover, the odds of improvement on day 15 in the 8-category ordinal scale score were higher in the remdesivir group, compared to the placebo group (proportional odds model; odds ratio, 1.50; 95% CI, 1.18-1.91; P = 0.001; 844 participants).
Mortality rate by 14 days was numerically lower in the remdesivir group (7.1%) compared to the placebo group (11.9%), but the difference was not statistically significant (Kaplan-Meier, hazard ratio for death, 0.70; 95% CI, 0.47-1.04). Serious AEs were reported in 114 of the 541 (21.1%) participants in the remdesivir group and 141 of the 522 (27.0%) participants in the placebo group. Moreover, grade 3/4 AEs occurred in 156 (28.8%) participants in the remdesivir group and in 172 (33.0%) in the placebo group.
Conclusion. The study found that remdesivir, compared to placebo, significantly shortened time to recovery in adult patients hospitalized with COVID-19 who had evidence of lower respiratory tract infection.
Commentary
Since the initial reporting of a cluster of cases of pneumonia in Wuhan, China, on December 31, 2019, SARS-CoV-2 has been identified as the cause of this new disease (COVID-19), and to-date SARS-CoV-2 infection has affected more than 15.2 million people globally, with more than 3.9 million cases in the United States alone.1 Despite an unprecedented global research effort, as well as public-private research partnerships, both in terms of scale and scope, an effective pharmacologic therapy for COVID-19 has so far eluded the scientific and medical community. Early trials of hydroxychloroquine and lopinavir-ritonavir did not demonstrate a clinical benefit in patients with COVID-19.2,3 Moreover, the first randomized controlled trial of remdesivir in COVID-19, a nucleoside analogue prodrug and a broad-spectrum antiviral agent previously shown to have inhibitory effects on pathogenic coronaviruses, was an underpowered study, and thus inconclusive.4 Thus, given the persistence of the COVID-19 pandemic and a current lack of effective vaccines or curative treatments, the study reported by Beigel and colleagues is timely and provides much needed knowledge in developing potential therapies for COVID-19.
The present report described the preliminary results of the first stage of the Adaptive Covid-19 Treatment Trial (ACCT-1), which aimed to evaluate the clinical efficacy and safety of intravenous remdesivir, as compared to placebo, in hospitalized adults with laboratory-confirmed COVID-19. The study itself was well-designed and conducted. The successful enrollment of more than 1000 participants randomized in a 1:1 ratio within a 2-month recruitment window, involving 60 international trial sites, shortly after the emergence of a new global pandemic was remarkable. This study provided the first evidence that remdesivir, an antiviral, can shorten time to recovery by approximately 31% compared to placebo in COVID-19 patients with lower respiratory tract involvement.
Interestingly, this beneficial effect of remdesivir on time to recovery was primarily observed in participants within the severe disease stratum (those requiring supplemental oxygen) at baseline (12 days in remdesivir group versus 18 days in placebo group), but not in those with mild-moderate disease at the time of study enrollment (5 days in either remdesivir or placebo group). Moreover, the beneficial effects of remdesivir on reducing time to recovery was not observed in participants who required mechanical ventilation or ECMO at enrollment. Thus, these preliminary results suggest that COVID-19 disease severity and timing, particularly in patients who require supplemental oxygen but prior to disease progression towards requiring mechanical ventilation, may present a window of opportunity to initiate remdesivir treatment in order to improve outcomes. Further analysis utilizing data from the entire cohort, including outcomes data from the full 28-day follow-up period, may better delineate the subgroup of hospitalized COVID-19 patients who may benefit most from remdesivir. Last, safety data from the present study, along with that reported by Wang and colleagues,4 provides evidence that intravenous remdesivir administration is likely safe in adults during the treatment period.
The preliminary results from the ACCT-1 provide early evidence that remdesivir shortens time to recovery in adult patients hospitalized for COVID-19 with pulmonary involvement. In light of these results, the US Food and Drug Administration issued an emergency use authorization for remdesivir on May 1, 2020, for the treatment of suspected or laboratory-confirmed COVID-19 in adults and children hospitalized with severe disease.5 In addition, remdesivir has also recently been approved as a therapy for COVID-19 in Japan, Taiwan, India, Singapore, and the United Arab Emirates, and has received conditional approval for use by the European Commission.6
Although these are encouraging developments in the race to identify effective therapeutics for COVID-19, a number of unanswered questions regarding the administration of remdesivir in the treatment of this disease remain. For instance, in an open-label, randomized, multicenter trial of patients with severe COVID-19 not requiring mechanical ventilation, treatment with a 5-day course versus a 10-day course of intravenous remdesivir did not result in a significant difference in efficacy.7 Thus, more studies are needed to better determine the shortest effective duration of remdesivir therapy in COVID-19 patients with different disease severity. Also, the mortality rate in COVID-19 patients who were treated with remdesivir remained high in the current study. Therefore, there is ample opportunity to evaluate treatment strategies, including multidrug interventions with remdesivir, to reduce mortality and improve clinical outcomes in patients hospitalized with COVID-19.
Applications for Clinical Practice
Remdesivir shortens time to recovery in adult patients hospitalized with COVID-19 who require supplemental oxygen therapy. While much needs to be learned in order to optimize treatment of COVID-19, preliminary findings from the current study provide an important first step towards these discoveries.
–Fred Ko, MD, MS
Study Overview
Objective. To assess the clinical efficacy and safety of remdesivir in hospitalized adults with laboratory-confirmed COVID-19 and with evidence of lower respiratory tract involvement.
Design. Double-blinded, randomized, placebo-controlled, multicenter trial.
Setting and participants. Enrollment for the study took place between February 21, 2020, and April 19, 2020, at 60 trial sites and 13 subsites in the United States, Denmark, the United Kingdom, Greece, Germany, Korea, Mexico, Spain, Japan, and Singapore. Study participants included patients aged ≥ 18 years who were hospitalized and had laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, as determined by a positive reverse transcription polymerase chain reaction assay on a respiratory specimen. Participants had evidence of lower respiratory tract infection at the time of enrollment; this was defined as radiographic infiltrates by imaging study, peripheral oxygen saturation (SpO2) ≤ 94% on room air, or requiring supplemental oxygen, mechanical ventilation, or extracorporeal membrane oxygenation (ECMO). Exclusion criteria for study participation included abnormal liver enzymes (alanine aminotransferase, aspartate aminotransferase) more than 5 times the upper limit of normal range; impaired renal function or need for hemodialysis or hemofiltration; pregnancy or breastfeeding; or anticipated hospital discharge or transfer to another hospital within 72 hours of enrollment.
Intervention. Participants were randomized in a 1:1 ratio to the remdesivir group or the placebo group and were administered either intravenous infusions of remdesivir (200-mg loading dose on day 1, followed by a 100-mg maintenance dose daily on days 2 through 10, or until hospital discharge or death) or placebo for up to 10 days. Blinding was maintained by masking infusions with an opaque bag and tubing. Randomization was stratified by study site and disease severity at enrollment. Supportive care was delivered to all participants according to the standard of care at each trial site hospital. Clinical status, determined using an 8-category ordinal scale and the National Early Warning Score, was assessed daily for each participant while hospitalized (day 1 through day 29).
Blood samples for safety laboratory tests were collected, and oropharyngeal or nasopharyngeal swab testing was performed for viral RNA detection and quantification on days 1, 3, 5, 8, and 11. All serious adverse events (AEs) and grade 3/4 AEs that represented an increase in severity from day 1 and any grade 2 or higher suspected drug-related hypersensitivity reactions associated with the study drug or placebo administration were recorded.
Main outcome measures. The primary endpoint measure of this study was time to recovery, defined as the first day during the 28 days after enrollment on which a participant satisfied category 1 (ie, not hospitalized, no limitations of activities), 2 (ie, not hospitalized, limitation of activities, home oxygen requirement, or both), or 3 (ie, hospitalized, not requiring supplemental oxygen and no longer requiring ongoing medical care; hospitalization was extended for infection-control reason) on the 8-category ordinal scale. Secondary outcomes included all-cause mortality at 14 and 28 days after enrollment and grade 3/4 AEs and serious AEs that occurred during trial participation. Analysis of the primary outcome was performed using a log-rank test of the time to recovery comparing remdesivir with placebo group, stratified by disease severity.
The study’s primary outcome was initially defined as a difference in clinical status as ascertained by the 8-category ordinal scale between groups of participants who were administered remdesivir versus placebo on day 15. Because of new knowledge gained external to the study about a more protracted COVID-19 clinical course than previously recognized, a change in primary outcome to time to recovery was proposed by trial statisticians, who were unaware of treatment assignments (72 participants had been enrolled) or outcome data (no interim data) on March 22, 2020, with subsequent amendment approval on April 2, 2020. On April 27, 2020, the Data and Safety Monitoring Board (DSMB) reviewed the interim study analysis (with data cutoff date of April 22, 2020) and recommended the report and mortality data to be provided to trial team members from the National Institute of Allergy and Infectious Diseases; these findings were subsequently made public.
Main results. A total of 1107 patients were assessed for eligibility, of whom 1063 underwent randomization, with 541 assigned to remdesivir and 522 to placebo. Results were unblinded early at the recommendation of DSMB due to findings from the interim analysis that showed reduced time to recovery in the group that received remdesivir. As of April 28, 2020, a total of 391 participants in the remdesivir group and 340 participants in the placebo group had completed the trial (day 29), recovered, or died. The mean age of participants was 58.9 ± 15.0 years, the majority were men (64.3%) and were White (53.2%), and the most common prespecified coexisting conditions were hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The vast majority of participants (88.7%) had severe COVID-19 disease at enrollment, defined as requiring invasive or noninvasive mechanical ventilation, requiring supplemental oxygen, SpO2 ≤ 94% on room air, or tachypnea (respiratory rate ≥ 24 breaths per minute).
Based on available data from 1059 participants (538 from the remdesivir group and 521 from the placebo group), those in the remdesivir group had a shorter median recovery time of 11 days (95% confidence interval [CI], 9-12) as compared to 15 days (95% CI, 13-19) in the placebo group, with a rate ratio for recovery of 1.32 (95% CI, 1.12-1.55; P < 0.001). Moreover, the odds of improvement on day 15 in the 8-category ordinal scale score were higher in the remdesivir group, compared to the placebo group (proportional odds model; odds ratio, 1.50; 95% CI, 1.18-1.91; P = 0.001; 844 participants).
Mortality rate by 14 days was numerically lower in the remdesivir group (7.1%) compared to the placebo group (11.9%), but the difference was not statistically significant (Kaplan-Meier, hazard ratio for death, 0.70; 95% CI, 0.47-1.04). Serious AEs were reported in 114 of the 541 (21.1%) participants in the remdesivir group and 141 of the 522 (27.0%) participants in the placebo group. Moreover, grade 3/4 AEs occurred in 156 (28.8%) participants in the remdesivir group and in 172 (33.0%) in the placebo group.
Conclusion. The study found that remdesivir, compared to placebo, significantly shortened time to recovery in adult patients hospitalized with COVID-19 who had evidence of lower respiratory tract infection.
Commentary
Since the initial reporting of a cluster of cases of pneumonia in Wuhan, China, on December 31, 2019, SARS-CoV-2 has been identified as the cause of this new disease (COVID-19), and to-date SARS-CoV-2 infection has affected more than 15.2 million people globally, with more than 3.9 million cases in the United States alone.1 Despite an unprecedented global research effort, as well as public-private research partnerships, both in terms of scale and scope, an effective pharmacologic therapy for COVID-19 has so far eluded the scientific and medical community. Early trials of hydroxychloroquine and lopinavir-ritonavir did not demonstrate a clinical benefit in patients with COVID-19.2,3 Moreover, the first randomized controlled trial of remdesivir in COVID-19, a nucleoside analogue prodrug and a broad-spectrum antiviral agent previously shown to have inhibitory effects on pathogenic coronaviruses, was an underpowered study, and thus inconclusive.4 Thus, given the persistence of the COVID-19 pandemic and a current lack of effective vaccines or curative treatments, the study reported by Beigel and colleagues is timely and provides much needed knowledge in developing potential therapies for COVID-19.
The present report described the preliminary results of the first stage of the Adaptive Covid-19 Treatment Trial (ACCT-1), which aimed to evaluate the clinical efficacy and safety of intravenous remdesivir, as compared to placebo, in hospitalized adults with laboratory-confirmed COVID-19. The study itself was well-designed and conducted. The successful enrollment of more than 1000 participants randomized in a 1:1 ratio within a 2-month recruitment window, involving 60 international trial sites, shortly after the emergence of a new global pandemic was remarkable. This study provided the first evidence that remdesivir, an antiviral, can shorten time to recovery by approximately 31% compared to placebo in COVID-19 patients with lower respiratory tract involvement.
Interestingly, this beneficial effect of remdesivir on time to recovery was primarily observed in participants within the severe disease stratum (those requiring supplemental oxygen) at baseline (12 days in remdesivir group versus 18 days in placebo group), but not in those with mild-moderate disease at the time of study enrollment (5 days in either remdesivir or placebo group). Moreover, the beneficial effects of remdesivir on reducing time to recovery was not observed in participants who required mechanical ventilation or ECMO at enrollment. Thus, these preliminary results suggest that COVID-19 disease severity and timing, particularly in patients who require supplemental oxygen but prior to disease progression towards requiring mechanical ventilation, may present a window of opportunity to initiate remdesivir treatment in order to improve outcomes. Further analysis utilizing data from the entire cohort, including outcomes data from the full 28-day follow-up period, may better delineate the subgroup of hospitalized COVID-19 patients who may benefit most from remdesivir. Last, safety data from the present study, along with that reported by Wang and colleagues,4 provides evidence that intravenous remdesivir administration is likely safe in adults during the treatment period.
The preliminary results from the ACCT-1 provide early evidence that remdesivir shortens time to recovery in adult patients hospitalized for COVID-19 with pulmonary involvement. In light of these results, the US Food and Drug Administration issued an emergency use authorization for remdesivir on May 1, 2020, for the treatment of suspected or laboratory-confirmed COVID-19 in adults and children hospitalized with severe disease.5 In addition, remdesivir has also recently been approved as a therapy for COVID-19 in Japan, Taiwan, India, Singapore, and the United Arab Emirates, and has received conditional approval for use by the European Commission.6
Although these are encouraging developments in the race to identify effective therapeutics for COVID-19, a number of unanswered questions regarding the administration of remdesivir in the treatment of this disease remain. For instance, in an open-label, randomized, multicenter trial of patients with severe COVID-19 not requiring mechanical ventilation, treatment with a 5-day course versus a 10-day course of intravenous remdesivir did not result in a significant difference in efficacy.7 Thus, more studies are needed to better determine the shortest effective duration of remdesivir therapy in COVID-19 patients with different disease severity. Also, the mortality rate in COVID-19 patients who were treated with remdesivir remained high in the current study. Therefore, there is ample opportunity to evaluate treatment strategies, including multidrug interventions with remdesivir, to reduce mortality and improve clinical outcomes in patients hospitalized with COVID-19.
Applications for Clinical Practice
Remdesivir shortens time to recovery in adult patients hospitalized with COVID-19 who require supplemental oxygen therapy. While much needs to be learned in order to optimize treatment of COVID-19, preliminary findings from the current study provide an important first step towards these discoveries.
–Fred Ko, MD, MS
1. Johns Hopkins University Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html. Accessed July 16, 2020.
2. Tang W, Cao Z, Han M, et al. Hydroxychloroquine in patients with COVID-19: an open-label, randomized, controlled trial [published online April 14, 2020]. medRxiv 2020; doi:10.1101/2020.04.10.20060558.
3. Cao B, Wang Y, Wen D, et al. A trial of lopinavir–ritonavir in adults hospitalized with severe COVID-19. N Engl J Med. 2020;382:1787-1799.
4. Wang Y, Zhang D, Du G, et al. Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial. Lancet. 2020;395:1569-1578.
5. Coronavirus (COVID-19) update: FDA issues Emergency Use Authorization for potential COVID-19 treatment. www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-issues-emergency-use-authorization-potential-covid-19-treatment. Accessed July 16, 2020.
6. Gilead’s COVID-19 antiviral remdesivir gets conditional EU clearance. www.reuters.com/article/us-health-coronavirus-eu-remdesivir/gileads-covid-19-antiviral-remdesivir-gets-conditional-eu-clearance-idUSKBN2441GK. Accessed July 6, 2020.
7. Goldman JD, Lye DCB, Hui DS, et al. Remdesivir for 5 or 10 days in patients with severe COVID-19. N Engl J Med. 2020 May 27.doi: 10.1056/NEJMoa2015301. Online ahead of print.
1. Johns Hopkins University Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html. Accessed July 16, 2020.
2. Tang W, Cao Z, Han M, et al. Hydroxychloroquine in patients with COVID-19: an open-label, randomized, controlled trial [published online April 14, 2020]. medRxiv 2020; doi:10.1101/2020.04.10.20060558.
3. Cao B, Wang Y, Wen D, et al. A trial of lopinavir–ritonavir in adults hospitalized with severe COVID-19. N Engl J Med. 2020;382:1787-1799.
4. Wang Y, Zhang D, Du G, et al. Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial. Lancet. 2020;395:1569-1578.
5. Coronavirus (COVID-19) update: FDA issues Emergency Use Authorization for potential COVID-19 treatment. www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-issues-emergency-use-authorization-potential-covid-19-treatment. Accessed July 16, 2020.
6. Gilead’s COVID-19 antiviral remdesivir gets conditional EU clearance. www.reuters.com/article/us-health-coronavirus-eu-remdesivir/gileads-covid-19-antiviral-remdesivir-gets-conditional-eu-clearance-idUSKBN2441GK. Accessed July 6, 2020.
7. Goldman JD, Lye DCB, Hui DS, et al. Remdesivir for 5 or 10 days in patients with severe COVID-19. N Engl J Med. 2020 May 27.doi: 10.1056/NEJMoa2015301. Online ahead of print.
Timing of Surgery in Patients With Asymptomatic Severe Aortic Stenosis
Study Overview
Objective. To determine the timing of surgical intervention in asymptomatic patients with severe aortic stenosis.
Design. Open-label, multicenter, randomized controlled study.
Setting and participants. A total of 145 asymptomatic patients with very severe aortic stenosis were randomly assigned to early surgery or conservative care.
Main outcome measures. The primary endpoint was a composite of operative mortality or death from a cardiovascular cause during follow-up. The major secondary endpoint was death from any cause during follow-up.
Main results. The primary endpoint occurred in 1 of 73 patients (1%) in the early surgery group and 11 of 72 patients (15%) in the conservative care group (hazard ratio [HR], 0.09; 95% confidence interval [CI], 0.01-0.67, P = 0.003). The secondary endpoint occurred in 7% of patients in the early surgery group and 21% of patients in the conservative care group (HR, 0.33; 95% CI, 0.12-0.90).
Conclusion. Among asymptomatic patients with very severe aortic stenosis, the incidence of the composite of operative mortality or death from cardiovascular causes during follow-up was significantly lower among those who underwent early valve replacement surgery compared to those who received conservative care.
Commentary
Aortic stenosis is a progressive disease that can lead to angina, heart failure, and death.1A higher mortality rate is reported in patients with symptomatic aortic stenosis, as compared to patients with asymptomatic disease, and current guidelines require symptoms to be present in order to proceed with aortic valve replacement.2 Management of asymptomatic patients is often determined by the treating physician, with treatment decisions based on multiple factors, such as left ventricular function, stress test results, and the local level of expertise for surgery.2
In this context, the RECOVERY investigators report the findings of their well-designed randomized controlled study assessing patients with asymptomatic severe aortic stenosis, which was defined as aortic valve area ≤ 0.75 cm2 and either transvalvular velocity > 4.5 m/s or a mean gradient ≥ 50 mm Hg. Compared to patients who received conservative care, patients who underwent early valve surgery had a significantly lower rate of a composite of operative mortality or death from any cardiovascular causes during follow-up. Notably, the number needed to treat to prevent 1 death from cardiovascular causes within 4 years was 20.
The strengths of this trial include complete long-term follow-up (> 4 years) and low cross-over rates. Furthermore, as the study targeted a previously understudied population, there were a number of interesting observations, in addition to the primary endpoint. First, the risk of sudden death was high in patients who received conservative care, 4% at 4 years and 14% at 8 years, a finding contrary to the common belief that asymptomatic patients are at lower risk of sudden cardiac death. Second, 74% of patients assigned to initial conservative care required aortic valve replacement during the follow-up period. Furthermore, when the patients assigned to conservative care required surgery, it was often performed emergently (17%), which could have contributed to the higher mortality in this group of patients. Finally, hospitalization for heart failure was more common in patients randomized to conservative care compared to patients with early surgery. These findings will help physicians conduct detailed, informed discussions with their patients regarding the risks/benefits of early surgery versus conservative management.
There are a few limitations of the RECOVERY trial to consider. First, this study investigated the effect of surgical aortic valve replacement; whether its findings can be extended to transcatheter aortic valve replacement (TAVR) requires further investigation. Patients who were enrolled in this study were younger and had fewer comorbidities than typical patients referred for TAVR. Second, all patients included in this study had the most severe form of aortic stenosis (valve area ≤ 0.75 cm2 with either a peak velocity of ≥ 4.5 m/s or mean gradient ≥ 50 mm Hg). Finally, the study was performed in highly experienced centers, as evidenced by a very low (0%) mortality rate after aortic valve replacement. Therefore, the finding may not be applicable to centers that have less experience with aortic valve replacement surgery.
Applications for Clinical Practice
The findings of the RECOVERY trial strongly suggest a mortality benefit of early surgery compared to conservative management in patients with asymptomatic severe aortic stenosis.
–Taishi Hirai, MD
1. Otto CM, Prendergast B. Aortic-valve stenosis--from patients at risk to severe valve obstruction. N Engl J Med. 2014;371:744-756.
2. Nishimura RA, Otto CM, Bonow RO, et al. 2017 AHA/ACC focused update of the 2014 AHA/ACC guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2017;135:e1159-e1195.
Study Overview
Objective. To determine the timing of surgical intervention in asymptomatic patients with severe aortic stenosis.
Design. Open-label, multicenter, randomized controlled study.
Setting and participants. A total of 145 asymptomatic patients with very severe aortic stenosis were randomly assigned to early surgery or conservative care.
Main outcome measures. The primary endpoint was a composite of operative mortality or death from a cardiovascular cause during follow-up. The major secondary endpoint was death from any cause during follow-up.
Main results. The primary endpoint occurred in 1 of 73 patients (1%) in the early surgery group and 11 of 72 patients (15%) in the conservative care group (hazard ratio [HR], 0.09; 95% confidence interval [CI], 0.01-0.67, P = 0.003). The secondary endpoint occurred in 7% of patients in the early surgery group and 21% of patients in the conservative care group (HR, 0.33; 95% CI, 0.12-0.90).
Conclusion. Among asymptomatic patients with very severe aortic stenosis, the incidence of the composite of operative mortality or death from cardiovascular causes during follow-up was significantly lower among those who underwent early valve replacement surgery compared to those who received conservative care.
Commentary
Aortic stenosis is a progressive disease that can lead to angina, heart failure, and death.1A higher mortality rate is reported in patients with symptomatic aortic stenosis, as compared to patients with asymptomatic disease, and current guidelines require symptoms to be present in order to proceed with aortic valve replacement.2 Management of asymptomatic patients is often determined by the treating physician, with treatment decisions based on multiple factors, such as left ventricular function, stress test results, and the local level of expertise for surgery.2
In this context, the RECOVERY investigators report the findings of their well-designed randomized controlled study assessing patients with asymptomatic severe aortic stenosis, which was defined as aortic valve area ≤ 0.75 cm2 and either transvalvular velocity > 4.5 m/s or a mean gradient ≥ 50 mm Hg. Compared to patients who received conservative care, patients who underwent early valve surgery had a significantly lower rate of a composite of operative mortality or death from any cardiovascular causes during follow-up. Notably, the number needed to treat to prevent 1 death from cardiovascular causes within 4 years was 20.
The strengths of this trial include complete long-term follow-up (> 4 years) and low cross-over rates. Furthermore, as the study targeted a previously understudied population, there were a number of interesting observations, in addition to the primary endpoint. First, the risk of sudden death was high in patients who received conservative care, 4% at 4 years and 14% at 8 years, a finding contrary to the common belief that asymptomatic patients are at lower risk of sudden cardiac death. Second, 74% of patients assigned to initial conservative care required aortic valve replacement during the follow-up period. Furthermore, when the patients assigned to conservative care required surgery, it was often performed emergently (17%), which could have contributed to the higher mortality in this group of patients. Finally, hospitalization for heart failure was more common in patients randomized to conservative care compared to patients with early surgery. These findings will help physicians conduct detailed, informed discussions with their patients regarding the risks/benefits of early surgery versus conservative management.
There are a few limitations of the RECOVERY trial to consider. First, this study investigated the effect of surgical aortic valve replacement; whether its findings can be extended to transcatheter aortic valve replacement (TAVR) requires further investigation. Patients who were enrolled in this study were younger and had fewer comorbidities than typical patients referred for TAVR. Second, all patients included in this study had the most severe form of aortic stenosis (valve area ≤ 0.75 cm2 with either a peak velocity of ≥ 4.5 m/s or mean gradient ≥ 50 mm Hg). Finally, the study was performed in highly experienced centers, as evidenced by a very low (0%) mortality rate after aortic valve replacement. Therefore, the finding may not be applicable to centers that have less experience with aortic valve replacement surgery.
Applications for Clinical Practice
The findings of the RECOVERY trial strongly suggest a mortality benefit of early surgery compared to conservative management in patients with asymptomatic severe aortic stenosis.
–Taishi Hirai, MD
Study Overview
Objective. To determine the timing of surgical intervention in asymptomatic patients with severe aortic stenosis.
Design. Open-label, multicenter, randomized controlled study.
Setting and participants. A total of 145 asymptomatic patients with very severe aortic stenosis were randomly assigned to early surgery or conservative care.
Main outcome measures. The primary endpoint was a composite of operative mortality or death from a cardiovascular cause during follow-up. The major secondary endpoint was death from any cause during follow-up.
Main results. The primary endpoint occurred in 1 of 73 patients (1%) in the early surgery group and 11 of 72 patients (15%) in the conservative care group (hazard ratio [HR], 0.09; 95% confidence interval [CI], 0.01-0.67, P = 0.003). The secondary endpoint occurred in 7% of patients in the early surgery group and 21% of patients in the conservative care group (HR, 0.33; 95% CI, 0.12-0.90).
Conclusion. Among asymptomatic patients with very severe aortic stenosis, the incidence of the composite of operative mortality or death from cardiovascular causes during follow-up was significantly lower among those who underwent early valve replacement surgery compared to those who received conservative care.
Commentary
Aortic stenosis is a progressive disease that can lead to angina, heart failure, and death.1A higher mortality rate is reported in patients with symptomatic aortic stenosis, as compared to patients with asymptomatic disease, and current guidelines require symptoms to be present in order to proceed with aortic valve replacement.2 Management of asymptomatic patients is often determined by the treating physician, with treatment decisions based on multiple factors, such as left ventricular function, stress test results, and the local level of expertise for surgery.2
In this context, the RECOVERY investigators report the findings of their well-designed randomized controlled study assessing patients with asymptomatic severe aortic stenosis, which was defined as aortic valve area ≤ 0.75 cm2 and either transvalvular velocity > 4.5 m/s or a mean gradient ≥ 50 mm Hg. Compared to patients who received conservative care, patients who underwent early valve surgery had a significantly lower rate of a composite of operative mortality or death from any cardiovascular causes during follow-up. Notably, the number needed to treat to prevent 1 death from cardiovascular causes within 4 years was 20.
The strengths of this trial include complete long-term follow-up (> 4 years) and low cross-over rates. Furthermore, as the study targeted a previously understudied population, there were a number of interesting observations, in addition to the primary endpoint. First, the risk of sudden death was high in patients who received conservative care, 4% at 4 years and 14% at 8 years, a finding contrary to the common belief that asymptomatic patients are at lower risk of sudden cardiac death. Second, 74% of patients assigned to initial conservative care required aortic valve replacement during the follow-up period. Furthermore, when the patients assigned to conservative care required surgery, it was often performed emergently (17%), which could have contributed to the higher mortality in this group of patients. Finally, hospitalization for heart failure was more common in patients randomized to conservative care compared to patients with early surgery. These findings will help physicians conduct detailed, informed discussions with their patients regarding the risks/benefits of early surgery versus conservative management.
There are a few limitations of the RECOVERY trial to consider. First, this study investigated the effect of surgical aortic valve replacement; whether its findings can be extended to transcatheter aortic valve replacement (TAVR) requires further investigation. Patients who were enrolled in this study were younger and had fewer comorbidities than typical patients referred for TAVR. Second, all patients included in this study had the most severe form of aortic stenosis (valve area ≤ 0.75 cm2 with either a peak velocity of ≥ 4.5 m/s or mean gradient ≥ 50 mm Hg). Finally, the study was performed in highly experienced centers, as evidenced by a very low (0%) mortality rate after aortic valve replacement. Therefore, the finding may not be applicable to centers that have less experience with aortic valve replacement surgery.
Applications for Clinical Practice
The findings of the RECOVERY trial strongly suggest a mortality benefit of early surgery compared to conservative management in patients with asymptomatic severe aortic stenosis.
–Taishi Hirai, MD
1. Otto CM, Prendergast B. Aortic-valve stenosis--from patients at risk to severe valve obstruction. N Engl J Med. 2014;371:744-756.
2. Nishimura RA, Otto CM, Bonow RO, et al. 2017 AHA/ACC focused update of the 2014 AHA/ACC guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2017;135:e1159-e1195.
1. Otto CM, Prendergast B. Aortic-valve stenosis--from patients at risk to severe valve obstruction. N Engl J Med. 2014;371:744-756.
2. Nishimura RA, Otto CM, Bonow RO, et al. 2017 AHA/ACC focused update of the 2014 AHA/ACC guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2017;135:e1159-e1195.
How Does Telemedicine Compare to Conventional Follow-Up After General Surgery?
Study Overview
Objective. To compare the impact of conventional versus telemedicine follow-up of general surgery patients in outpatient clinics.
Design. Prospective randomized clinical trial.
Setting and participants. Participants were recruited from Hospital Germans Trias i Pujol, a tertiary care university hospital located in the outskirts of Barcelona (Catalonia, Spain). To be included in this study, participants had to have been treated in the general surgery department, have basic computer knowledge (ability to use e-mail or a social network), have a computer with webcam, and be 18 to 75 years of age, or they had to have a partner who met these criteria. Exclusion criteria included any disability making telemedicine follow-up impossible (eg, blindness, deafness, or mental disability; proctologic treatment; difficulty describing and/or showing complications in the surgical area; and clinical complications before discharge more severe than Clavien Dindo II), as well as withdrawal of consent. Patients who met the criteria and had just been discharged from the hospital were offered the opportunity to enroll by the surgeon in charge. Patients who agreed to participate provided informed consent and were assigned using a computerized block randomization list (allocation ratio 1:1).
Intervention. Time to visit was generally between 2 and 4 weeks after discharge (the interval to the follow-up visit was determined at the discretion of the treating surgeon, but always followed the usual schedule). To conduct the telemedicine follow-up through a video call, a medical cloud-based program fulfilling all European Union security and privacy policies was used. Four surgeons were assigned to perform the telemedicine visits and were trained on how to use the program before the study started. Visit format was the same in both groups: clinical and wound condition were assessed and pathology was discussed (the one difference was that physical exploration was not performed in the telemedicine group).
Main outcome measures. The primary outcome was the feasibility of telemedicine follow-up, and this was measured as the percentage of participants who completed follow-up in their corresponding group by the date scheduled at hospital discharge. Secondary outcomes included a comparison of clinical results and patient satisfaction. To assess the clinical results, extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit were collected.
To evaluate patient satisfaction, a questionnaire was sent via email to the participants after the visit and, if they did not respond, a telephone survey was carried out (if there was no contact after 2 telephone calls, the participants was considered a missing value). The questionnaire was informed by the United Kingdom National Health Service outpatients questionnaire and the Telehealth Usability Questionnaire. It included 27 general questions asked of participants in both groups, plus 8 specific questions for participants in the conventional follow-up group and 14 specific questions for participants in the telemedicine group. To summarize all the included fields in the questionnaires (time to visit and visit length, comfort, tests and procedures performed before and during the visit, transport, waiting time, privacy, dealings with staff, platform usability, telemedicine, and satisfaction), participants were asked to provide a global satisfaction score on a scale from 1 to 5.
Analysis. To compare the groups in terms of proportion of outcomes, a chi-square test was used to analyze categorical variables. To compare medians between the groups, ordinal variables were analyzed using the Mann-Whitney U test. Statistical significance was set at P < 0.05.
Main results. Two-hundred patients were randomly allocated to 1 of the 2 groups, with 100 patients in each group. The groups did not differ significantly based on age (P = 0.836), gender (P = 0.393), or American Society of Anesthesiologists (ASA) score (P = 0.232). Time to visit did not differ significantly between the groups (P = 0.169), and while visits were generally shorter in the telemedicine group, the difference was not significant (P = 0.153). Diagnoses and treatments did not differ significantly between the groups (P = 0.853 and P = 0.461, respectively).
The primary outcome (follow-up feasibility) was achieved in 90% of the conventional follow-up group and in 74% of the telemedicine group (P = 0.003). Of the 10 patients in the conventional follow-up group who did not complete the follow-up, 8 did not attend the visit on the scheduled day and 2 were hospitalized for reasons not related to the study. In the telemedicine group, the 2 main reasons for failure to follow-up were technical difficulties (n = 10) and requests by patients to attend a conventional visit after being allocated to the telemedicine group (n = 10). Among the remaining 6 patients in the telemedicine group who did not attend a visit, 3 visited the outpatient clinic because of a known surgical wound infection before the visit, 2 did not respond to the video call and could not be contacted by other means, and 1 had other face-to-face visits scheduled in different departments of the hospital the same day as the telemedicine appointment.
There were no statistically significant differences in the clinical results of the 164 patients meeting the primary endpoint (P = 0.832). Twelve of the 90 (13.3%) patients in the conventional group attended extra visits after the follow-up, while 9 of the 74 patients (12.1%) in the telemedicine group (P = 0.823) attended extra visits after follow-up. The median global patient satisfaction score was 5 in both the conventional group (range, 2-5) and the telemedicine group (range, 1-5), with no statistically significant differences (P = 0.099). When patients in the telemedicine group were asked if they would accept the use of telemedicine as part of their medical treatment on an ongoing basis, they rated the proposition with a median score of 5 (range, 1-5).
Conclusion. Telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. This option produces good satisfaction rates and maintains clinical outcomes.
Commentary
In recent years, telemedicine has gained increased popularity in both medicine and surgery, affording surgeons greater opportunities for patient care, mentoring, collaboration, and teaching, without the limits of geographic boundaries. Telemedicine can be broadly described as a health care service utilizing telecommunication technologies for the purpose of communicating with and diagnosing and treating patients remotely.1-4 To date, literature on telemedicine in surgical care has been limited.
In their systematic review, published in 2018, Asiri et al identified 24 studies published between 1998 and 2018, which included 3 randomized controlled trials, 3 pilot studies, 4 retrospective studies, and 14 prospective observational studies. In these studies, telemedicine protocols were used for preoperative assessment, diagnostic purposes, or consultation with another surgical department (10 studies); postoperative wound assessment (9 studies); and follow-up in place of conventional clinic visits (5 studies).3 In a 2017 systematic review of telemedicine for post-discharge surgical care, Gunter et al identified 21 studies, which included 3 randomized controlled trials, 6 pilot or feasibility studies, 4 retrospective record reviews, 2 case series, and 6 surveys.4 In these studies, telemedicine protocols were used for scheduled follow-up (10 studies), routine and ongoing monitoring (5 studies), or management of issues that arose after surgery (2 studies). These 2 reviews found telemedicine to be feasible, useful, and acceptable for postoperative evaluation and follow-up among both providers and patients.
Additional benefits noted in these studies included savings in patient travel, time, and cost. Perspectives on savings to the health system were mixed—while clinic time slots may open as a result of follow-up visits being done via telemedicine (resulting in potential improvements in access to surgical services and decreased wait times), there are still significant direct costs for purchasing necessary equipment and for educating and training providers on the use of the equipment. Other published reviews have discussed in greater detail the application, benefits, limitations, and barriers to telemedicine and provided insight from the perspectives of patients, providers, and health care systems.1,2
Because studies on the use of telemedicine are limited, particularly in general surgery, and few of these studies have used a randomized clinical trial design, the present study is an important contribution to the literature. The authors found a significant difference between groups in terms of percentage of completed follow-up visits—90% of conventional follow-up group participants completed their visit versus 74% of telemedicine group participants. However, these differences were primarily attributed to technical difficulties experienced by telemedicine group participants, as well requests to have a conventional follow-up visit. In addition, telemedicine capabilities were limited to video calls via computers and webcams, and it is likely that successful completion of the follow-up visit would have been higher in the telemedicine group had the use of video calls via tablets or smartphones been an option. Perhaps more important, no significant differences were found in clinical outcomes (extra visits within 30 days after the follow-up visit) or patient satisfaction.
A key strength of this study is the use of a randomized clinical trial design to evaluate telemedicine as an alternative method for conducting patient visits following general surgery. Inclusion and exclusion criteria did not impose strict limitations on potential participants. Also, the authors evaluated differences in time to visit, length of visit, clinical results, and patient satisfaction between groups, in addition to the primary measure of completion of the follow-up visit.
This study has important limitations that should be noted as well, particularly related to the study design, some of which are acknowledged by the authors. Because this study was implemented in only 1 hospital, specifically, a tertiary care university hospital on the outskirts of an urban European city, the generalizability of the findings is limited. Also, the likelihood of selection bias is high, as enrollment was not offered to all patients who were discharged from the hospital and met inclusion criteria (limited by patient workload). The comparison of clinical results was limited, as the selected measure focused only on extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit. This chosen measure does not account for less severe clinical results that did not require an additional visit, and does not represent a nuanced comparison of specific clinical indicators. In addition, this measure does not account for clinical complications that may have occurred beyond the 30-day period. Recall bias also was likely, given that the patient satisfaction questionnaire was delivered via email to patients at a later time after the follow-up visit, instead of being administered immediately after the visit. Last, group differences at baseline were assessed based only on age, gender, and ASA score, which does not preclude potential differences related to other factors, such as race/ethnicity, household income, comorbidities, insurance, and zip code. Future research with a similar objective would benefit from a randomized clinical trial design that recruits a wider diversity of patients across different clinic settings and incorporates more nuanced measures of primary and secondary outcomes.
Applications for Clinical Practice
With the ongoing COVID-19 pandemic, the integration of telemedicine capabilities into hospital systems is becoming more widespread and is proceeding at an accelerated pace. This study provides evidence that telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. Assuming that the needed technology and appropriate program training are available, telemedicine should be offered to patients, especially to maximize savings in terms of travel, time, and cost. However, the option for conventional (in-person) follow-up should remain, particularly in cases where there may be barriers to successful follow-up visits via telemedicine, including limited digital literacy, lack of access to necessary equipment, language/communication barriers, complex follow-up treatment, and difficulties in describing or showing complications in the surgical area.
–Katrina F. Mateo, PhD, MPH
1. Williams AM, Bhatti UF, Alam HB, Nikolian VC. The role of telemedicine in postoperative care. mHealth. 2018 May;4:11-11.
2. Huang EY, Knight S, Guetter CR et al. Telemedicine and telementoring in the surgical specialties: A narrative review. Am J Surg. 2019;218:760-766.
3. Asiri A, AlBishi S, AlMadani W, et al. The use of telemedicine in surgical care: A systematic review. Acta Informatica Medica. 2018;26:201-206.
4. Gunter RL, Chouinard S, Fernandes-Taylor S, et al. Current use of telemedicine for post-discharge surgical care: a systematic review. J Am College Surg. 2016;222:915-927.
Study Overview
Objective. To compare the impact of conventional versus telemedicine follow-up of general surgery patients in outpatient clinics.
Design. Prospective randomized clinical trial.
Setting and participants. Participants were recruited from Hospital Germans Trias i Pujol, a tertiary care university hospital located in the outskirts of Barcelona (Catalonia, Spain). To be included in this study, participants had to have been treated in the general surgery department, have basic computer knowledge (ability to use e-mail or a social network), have a computer with webcam, and be 18 to 75 years of age, or they had to have a partner who met these criteria. Exclusion criteria included any disability making telemedicine follow-up impossible (eg, blindness, deafness, or mental disability; proctologic treatment; difficulty describing and/or showing complications in the surgical area; and clinical complications before discharge more severe than Clavien Dindo II), as well as withdrawal of consent. Patients who met the criteria and had just been discharged from the hospital were offered the opportunity to enroll by the surgeon in charge. Patients who agreed to participate provided informed consent and were assigned using a computerized block randomization list (allocation ratio 1:1).
Intervention. Time to visit was generally between 2 and 4 weeks after discharge (the interval to the follow-up visit was determined at the discretion of the treating surgeon, but always followed the usual schedule). To conduct the telemedicine follow-up through a video call, a medical cloud-based program fulfilling all European Union security and privacy policies was used. Four surgeons were assigned to perform the telemedicine visits and were trained on how to use the program before the study started. Visit format was the same in both groups: clinical and wound condition were assessed and pathology was discussed (the one difference was that physical exploration was not performed in the telemedicine group).
Main outcome measures. The primary outcome was the feasibility of telemedicine follow-up, and this was measured as the percentage of participants who completed follow-up in their corresponding group by the date scheduled at hospital discharge. Secondary outcomes included a comparison of clinical results and patient satisfaction. To assess the clinical results, extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit were collected.
To evaluate patient satisfaction, a questionnaire was sent via email to the participants after the visit and, if they did not respond, a telephone survey was carried out (if there was no contact after 2 telephone calls, the participants was considered a missing value). The questionnaire was informed by the United Kingdom National Health Service outpatients questionnaire and the Telehealth Usability Questionnaire. It included 27 general questions asked of participants in both groups, plus 8 specific questions for participants in the conventional follow-up group and 14 specific questions for participants in the telemedicine group. To summarize all the included fields in the questionnaires (time to visit and visit length, comfort, tests and procedures performed before and during the visit, transport, waiting time, privacy, dealings with staff, platform usability, telemedicine, and satisfaction), participants were asked to provide a global satisfaction score on a scale from 1 to 5.
Analysis. To compare the groups in terms of proportion of outcomes, a chi-square test was used to analyze categorical variables. To compare medians between the groups, ordinal variables were analyzed using the Mann-Whitney U test. Statistical significance was set at P < 0.05.
Main results. Two-hundred patients were randomly allocated to 1 of the 2 groups, with 100 patients in each group. The groups did not differ significantly based on age (P = 0.836), gender (P = 0.393), or American Society of Anesthesiologists (ASA) score (P = 0.232). Time to visit did not differ significantly between the groups (P = 0.169), and while visits were generally shorter in the telemedicine group, the difference was not significant (P = 0.153). Diagnoses and treatments did not differ significantly between the groups (P = 0.853 and P = 0.461, respectively).
The primary outcome (follow-up feasibility) was achieved in 90% of the conventional follow-up group and in 74% of the telemedicine group (P = 0.003). Of the 10 patients in the conventional follow-up group who did not complete the follow-up, 8 did not attend the visit on the scheduled day and 2 were hospitalized for reasons not related to the study. In the telemedicine group, the 2 main reasons for failure to follow-up were technical difficulties (n = 10) and requests by patients to attend a conventional visit after being allocated to the telemedicine group (n = 10). Among the remaining 6 patients in the telemedicine group who did not attend a visit, 3 visited the outpatient clinic because of a known surgical wound infection before the visit, 2 did not respond to the video call and could not be contacted by other means, and 1 had other face-to-face visits scheduled in different departments of the hospital the same day as the telemedicine appointment.
There were no statistically significant differences in the clinical results of the 164 patients meeting the primary endpoint (P = 0.832). Twelve of the 90 (13.3%) patients in the conventional group attended extra visits after the follow-up, while 9 of the 74 patients (12.1%) in the telemedicine group (P = 0.823) attended extra visits after follow-up. The median global patient satisfaction score was 5 in both the conventional group (range, 2-5) and the telemedicine group (range, 1-5), with no statistically significant differences (P = 0.099). When patients in the telemedicine group were asked if they would accept the use of telemedicine as part of their medical treatment on an ongoing basis, they rated the proposition with a median score of 5 (range, 1-5).
Conclusion. Telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. This option produces good satisfaction rates and maintains clinical outcomes.
Commentary
In recent years, telemedicine has gained increased popularity in both medicine and surgery, affording surgeons greater opportunities for patient care, mentoring, collaboration, and teaching, without the limits of geographic boundaries. Telemedicine can be broadly described as a health care service utilizing telecommunication technologies for the purpose of communicating with and diagnosing and treating patients remotely.1-4 To date, literature on telemedicine in surgical care has been limited.
In their systematic review, published in 2018, Asiri et al identified 24 studies published between 1998 and 2018, which included 3 randomized controlled trials, 3 pilot studies, 4 retrospective studies, and 14 prospective observational studies. In these studies, telemedicine protocols were used for preoperative assessment, diagnostic purposes, or consultation with another surgical department (10 studies); postoperative wound assessment (9 studies); and follow-up in place of conventional clinic visits (5 studies).3 In a 2017 systematic review of telemedicine for post-discharge surgical care, Gunter et al identified 21 studies, which included 3 randomized controlled trials, 6 pilot or feasibility studies, 4 retrospective record reviews, 2 case series, and 6 surveys.4 In these studies, telemedicine protocols were used for scheduled follow-up (10 studies), routine and ongoing monitoring (5 studies), or management of issues that arose after surgery (2 studies). These 2 reviews found telemedicine to be feasible, useful, and acceptable for postoperative evaluation and follow-up among both providers and patients.
Additional benefits noted in these studies included savings in patient travel, time, and cost. Perspectives on savings to the health system were mixed—while clinic time slots may open as a result of follow-up visits being done via telemedicine (resulting in potential improvements in access to surgical services and decreased wait times), there are still significant direct costs for purchasing necessary equipment and for educating and training providers on the use of the equipment. Other published reviews have discussed in greater detail the application, benefits, limitations, and barriers to telemedicine and provided insight from the perspectives of patients, providers, and health care systems.1,2
Because studies on the use of telemedicine are limited, particularly in general surgery, and few of these studies have used a randomized clinical trial design, the present study is an important contribution to the literature. The authors found a significant difference between groups in terms of percentage of completed follow-up visits—90% of conventional follow-up group participants completed their visit versus 74% of telemedicine group participants. However, these differences were primarily attributed to technical difficulties experienced by telemedicine group participants, as well requests to have a conventional follow-up visit. In addition, telemedicine capabilities were limited to video calls via computers and webcams, and it is likely that successful completion of the follow-up visit would have been higher in the telemedicine group had the use of video calls via tablets or smartphones been an option. Perhaps more important, no significant differences were found in clinical outcomes (extra visits within 30 days after the follow-up visit) or patient satisfaction.
A key strength of this study is the use of a randomized clinical trial design to evaluate telemedicine as an alternative method for conducting patient visits following general surgery. Inclusion and exclusion criteria did not impose strict limitations on potential participants. Also, the authors evaluated differences in time to visit, length of visit, clinical results, and patient satisfaction between groups, in addition to the primary measure of completion of the follow-up visit.
This study has important limitations that should be noted as well, particularly related to the study design, some of which are acknowledged by the authors. Because this study was implemented in only 1 hospital, specifically, a tertiary care university hospital on the outskirts of an urban European city, the generalizability of the findings is limited. Also, the likelihood of selection bias is high, as enrollment was not offered to all patients who were discharged from the hospital and met inclusion criteria (limited by patient workload). The comparison of clinical results was limited, as the selected measure focused only on extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit. This chosen measure does not account for less severe clinical results that did not require an additional visit, and does not represent a nuanced comparison of specific clinical indicators. In addition, this measure does not account for clinical complications that may have occurred beyond the 30-day period. Recall bias also was likely, given that the patient satisfaction questionnaire was delivered via email to patients at a later time after the follow-up visit, instead of being administered immediately after the visit. Last, group differences at baseline were assessed based only on age, gender, and ASA score, which does not preclude potential differences related to other factors, such as race/ethnicity, household income, comorbidities, insurance, and zip code. Future research with a similar objective would benefit from a randomized clinical trial design that recruits a wider diversity of patients across different clinic settings and incorporates more nuanced measures of primary and secondary outcomes.
Applications for Clinical Practice
With the ongoing COVID-19 pandemic, the integration of telemedicine capabilities into hospital systems is becoming more widespread and is proceeding at an accelerated pace. This study provides evidence that telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. Assuming that the needed technology and appropriate program training are available, telemedicine should be offered to patients, especially to maximize savings in terms of travel, time, and cost. However, the option for conventional (in-person) follow-up should remain, particularly in cases where there may be barriers to successful follow-up visits via telemedicine, including limited digital literacy, lack of access to necessary equipment, language/communication barriers, complex follow-up treatment, and difficulties in describing or showing complications in the surgical area.
–Katrina F. Mateo, PhD, MPH
Study Overview
Objective. To compare the impact of conventional versus telemedicine follow-up of general surgery patients in outpatient clinics.
Design. Prospective randomized clinical trial.
Setting and participants. Participants were recruited from Hospital Germans Trias i Pujol, a tertiary care university hospital located in the outskirts of Barcelona (Catalonia, Spain). To be included in this study, participants had to have been treated in the general surgery department, have basic computer knowledge (ability to use e-mail or a social network), have a computer with webcam, and be 18 to 75 years of age, or they had to have a partner who met these criteria. Exclusion criteria included any disability making telemedicine follow-up impossible (eg, blindness, deafness, or mental disability; proctologic treatment; difficulty describing and/or showing complications in the surgical area; and clinical complications before discharge more severe than Clavien Dindo II), as well as withdrawal of consent. Patients who met the criteria and had just been discharged from the hospital were offered the opportunity to enroll by the surgeon in charge. Patients who agreed to participate provided informed consent and were assigned using a computerized block randomization list (allocation ratio 1:1).
Intervention. Time to visit was generally between 2 and 4 weeks after discharge (the interval to the follow-up visit was determined at the discretion of the treating surgeon, but always followed the usual schedule). To conduct the telemedicine follow-up through a video call, a medical cloud-based program fulfilling all European Union security and privacy policies was used. Four surgeons were assigned to perform the telemedicine visits and were trained on how to use the program before the study started. Visit format was the same in both groups: clinical and wound condition were assessed and pathology was discussed (the one difference was that physical exploration was not performed in the telemedicine group).
Main outcome measures. The primary outcome was the feasibility of telemedicine follow-up, and this was measured as the percentage of participants who completed follow-up in their corresponding group by the date scheduled at hospital discharge. Secondary outcomes included a comparison of clinical results and patient satisfaction. To assess the clinical results, extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit were collected.
To evaluate patient satisfaction, a questionnaire was sent via email to the participants after the visit and, if they did not respond, a telephone survey was carried out (if there was no contact after 2 telephone calls, the participants was considered a missing value). The questionnaire was informed by the United Kingdom National Health Service outpatients questionnaire and the Telehealth Usability Questionnaire. It included 27 general questions asked of participants in both groups, plus 8 specific questions for participants in the conventional follow-up group and 14 specific questions for participants in the telemedicine group. To summarize all the included fields in the questionnaires (time to visit and visit length, comfort, tests and procedures performed before and during the visit, transport, waiting time, privacy, dealings with staff, platform usability, telemedicine, and satisfaction), participants were asked to provide a global satisfaction score on a scale from 1 to 5.
Analysis. To compare the groups in terms of proportion of outcomes, a chi-square test was used to analyze categorical variables. To compare medians between the groups, ordinal variables were analyzed using the Mann-Whitney U test. Statistical significance was set at P < 0.05.
Main results. Two-hundred patients were randomly allocated to 1 of the 2 groups, with 100 patients in each group. The groups did not differ significantly based on age (P = 0.836), gender (P = 0.393), or American Society of Anesthesiologists (ASA) score (P = 0.232). Time to visit did not differ significantly between the groups (P = 0.169), and while visits were generally shorter in the telemedicine group, the difference was not significant (P = 0.153). Diagnoses and treatments did not differ significantly between the groups (P = 0.853 and P = 0.461, respectively).
The primary outcome (follow-up feasibility) was achieved in 90% of the conventional follow-up group and in 74% of the telemedicine group (P = 0.003). Of the 10 patients in the conventional follow-up group who did not complete the follow-up, 8 did not attend the visit on the scheduled day and 2 were hospitalized for reasons not related to the study. In the telemedicine group, the 2 main reasons for failure to follow-up were technical difficulties (n = 10) and requests by patients to attend a conventional visit after being allocated to the telemedicine group (n = 10). Among the remaining 6 patients in the telemedicine group who did not attend a visit, 3 visited the outpatient clinic because of a known surgical wound infection before the visit, 2 did not respond to the video call and could not be contacted by other means, and 1 had other face-to-face visits scheduled in different departments of the hospital the same day as the telemedicine appointment.
There were no statistically significant differences in the clinical results of the 164 patients meeting the primary endpoint (P = 0.832). Twelve of the 90 (13.3%) patients in the conventional group attended extra visits after the follow-up, while 9 of the 74 patients (12.1%) in the telemedicine group (P = 0.823) attended extra visits after follow-up. The median global patient satisfaction score was 5 in both the conventional group (range, 2-5) and the telemedicine group (range, 1-5), with no statistically significant differences (P = 0.099). When patients in the telemedicine group were asked if they would accept the use of telemedicine as part of their medical treatment on an ongoing basis, they rated the proposition with a median score of 5 (range, 1-5).
Conclusion. Telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. This option produces good satisfaction rates and maintains clinical outcomes.
Commentary
In recent years, telemedicine has gained increased popularity in both medicine and surgery, affording surgeons greater opportunities for patient care, mentoring, collaboration, and teaching, without the limits of geographic boundaries. Telemedicine can be broadly described as a health care service utilizing telecommunication technologies for the purpose of communicating with and diagnosing and treating patients remotely.1-4 To date, literature on telemedicine in surgical care has been limited.
In their systematic review, published in 2018, Asiri et al identified 24 studies published between 1998 and 2018, which included 3 randomized controlled trials, 3 pilot studies, 4 retrospective studies, and 14 prospective observational studies. In these studies, telemedicine protocols were used for preoperative assessment, diagnostic purposes, or consultation with another surgical department (10 studies); postoperative wound assessment (9 studies); and follow-up in place of conventional clinic visits (5 studies).3 In a 2017 systematic review of telemedicine for post-discharge surgical care, Gunter et al identified 21 studies, which included 3 randomized controlled trials, 6 pilot or feasibility studies, 4 retrospective record reviews, 2 case series, and 6 surveys.4 In these studies, telemedicine protocols were used for scheduled follow-up (10 studies), routine and ongoing monitoring (5 studies), or management of issues that arose after surgery (2 studies). These 2 reviews found telemedicine to be feasible, useful, and acceptable for postoperative evaluation and follow-up among both providers and patients.
Additional benefits noted in these studies included savings in patient travel, time, and cost. Perspectives on savings to the health system were mixed—while clinic time slots may open as a result of follow-up visits being done via telemedicine (resulting in potential improvements in access to surgical services and decreased wait times), there are still significant direct costs for purchasing necessary equipment and for educating and training providers on the use of the equipment. Other published reviews have discussed in greater detail the application, benefits, limitations, and barriers to telemedicine and provided insight from the perspectives of patients, providers, and health care systems.1,2
Because studies on the use of telemedicine are limited, particularly in general surgery, and few of these studies have used a randomized clinical trial design, the present study is an important contribution to the literature. The authors found a significant difference between groups in terms of percentage of completed follow-up visits—90% of conventional follow-up group participants completed their visit versus 74% of telemedicine group participants. However, these differences were primarily attributed to technical difficulties experienced by telemedicine group participants, as well requests to have a conventional follow-up visit. In addition, telemedicine capabilities were limited to video calls via computers and webcams, and it is likely that successful completion of the follow-up visit would have been higher in the telemedicine group had the use of video calls via tablets or smartphones been an option. Perhaps more important, no significant differences were found in clinical outcomes (extra visits within 30 days after the follow-up visit) or patient satisfaction.
A key strength of this study is the use of a randomized clinical trial design to evaluate telemedicine as an alternative method for conducting patient visits following general surgery. Inclusion and exclusion criteria did not impose strict limitations on potential participants. Also, the authors evaluated differences in time to visit, length of visit, clinical results, and patient satisfaction between groups, in addition to the primary measure of completion of the follow-up visit.
This study has important limitations that should be noted as well, particularly related to the study design, some of which are acknowledged by the authors. Because this study was implemented in only 1 hospital, specifically, a tertiary care university hospital on the outskirts of an urban European city, the generalizability of the findings is limited. Also, the likelihood of selection bias is high, as enrollment was not offered to all patients who were discharged from the hospital and met inclusion criteria (limited by patient workload). The comparison of clinical results was limited, as the selected measure focused only on extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit. This chosen measure does not account for less severe clinical results that did not require an additional visit, and does not represent a nuanced comparison of specific clinical indicators. In addition, this measure does not account for clinical complications that may have occurred beyond the 30-day period. Recall bias also was likely, given that the patient satisfaction questionnaire was delivered via email to patients at a later time after the follow-up visit, instead of being administered immediately after the visit. Last, group differences at baseline were assessed based only on age, gender, and ASA score, which does not preclude potential differences related to other factors, such as race/ethnicity, household income, comorbidities, insurance, and zip code. Future research with a similar objective would benefit from a randomized clinical trial design that recruits a wider diversity of patients across different clinic settings and incorporates more nuanced measures of primary and secondary outcomes.
Applications for Clinical Practice
With the ongoing COVID-19 pandemic, the integration of telemedicine capabilities into hospital systems is becoming more widespread and is proceeding at an accelerated pace. This study provides evidence that telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. Assuming that the needed technology and appropriate program training are available, telemedicine should be offered to patients, especially to maximize savings in terms of travel, time, and cost. However, the option for conventional (in-person) follow-up should remain, particularly in cases where there may be barriers to successful follow-up visits via telemedicine, including limited digital literacy, lack of access to necessary equipment, language/communication barriers, complex follow-up treatment, and difficulties in describing or showing complications in the surgical area.
–Katrina F. Mateo, PhD, MPH
1. Williams AM, Bhatti UF, Alam HB, Nikolian VC. The role of telemedicine in postoperative care. mHealth. 2018 May;4:11-11.
2. Huang EY, Knight S, Guetter CR et al. Telemedicine and telementoring in the surgical specialties: A narrative review. Am J Surg. 2019;218:760-766.
3. Asiri A, AlBishi S, AlMadani W, et al. The use of telemedicine in surgical care: A systematic review. Acta Informatica Medica. 2018;26:201-206.
4. Gunter RL, Chouinard S, Fernandes-Taylor S, et al. Current use of telemedicine for post-discharge surgical care: a systematic review. J Am College Surg. 2016;222:915-927.
1. Williams AM, Bhatti UF, Alam HB, Nikolian VC. The role of telemedicine in postoperative care. mHealth. 2018 May;4:11-11.
2. Huang EY, Knight S, Guetter CR et al. Telemedicine and telementoring in the surgical specialties: A narrative review. Am J Surg. 2019;218:760-766.
3. Asiri A, AlBishi S, AlMadani W, et al. The use of telemedicine in surgical care: A systematic review. Acta Informatica Medica. 2018;26:201-206.
4. Gunter RL, Chouinard S, Fernandes-Taylor S, et al. Current use of telemedicine for post-discharge surgical care: a systematic review. J Am College Surg. 2016;222:915-927.