Pulmonology

A final report from the multinational placebo-controlled ACTT-1 trial confirms that remdesivir is effective and well tolerated for shortening the time to recovery from COVID-19 infection.

In May 2020, remdesivir received Food and Drug Administration approval for emergency treatment of severe COVID-19 on the basis of a preliminary report on this trial. In August 2020, the FDA expanded the indication to include all hospitalized adult and pediatric patients with suspected or laboratory-confirmed COVID-19 infection irrespective of severity.

“Our findings were consistent with the findings of the preliminary report: a 10-day course of remdesivir was superior to placebo in the treatment of hospitalized patients with COVID-19,” reported a team of investigators led by John H. Beigel, MD, of the Division of Microbiology and Infectious Diseases at the National Institute of Allergy and Infectious Diseases, in the New England Journal of Medicine.

The drug’s broadened indication was not based on the ACTT-1 trial, according to Dr. Beigel. “Other data have demonstrated that remdesivir shortens recovery in patients with lower acuity. In our study, evidence of pneumonia was an enrollment requirement,” he explained in an interview.

In the newly published final ACTT-1 data, the median time to recovery was 10 days for those on active therapy versus 15 days for those randomized to placebo. With a rate ratio of 1.29 (P less than .001), this translated to a recovery that was about one third faster.

In this final report, remdesivir’s significant advantage over placebo regarding the trial’s primary endpoint was reinforced by efficacy on multiple secondary endpoints.

This benefits on multiple secondary endpoints included a 50% greater odds ratio (OR, 1.5; 95% CI, 1.2-1.9) of significant clinical improvement by day 15 after adjustment for baseline severity, a shorter initial length of hospital stay (12 vs. 17 days) and fewer days on oxygen supplementation (13 vs. 21 days) for the subgroup of patients on oxygen at enrollment.

Although the numerically lower mortality in the remdesivir arm (6.75 vs. 11.9%) did not reach statistical significance, Dr. Beigel said, “mortality was moving in the same direction as the other key endpoints.”

According to the study investigators, the types of rates of adverse events on remdesivir, which inhibits viral replication, “were generally similar in the remdesivir and placebo groups.”

In ACTT-1, 1,062 patients were randomized to remdesivir (200 mg loading dose followed by 100 mg daily for up to 9 days) or placebo. Patients were enrolled at study sites in North America, Europe, and Asia.

The data of ACTT-1 confirm a benefit from remdesivir in hospitalized COVID-19 patients with severe disease, but Dr. Beigel said he agrees with the current FDA indication that supports treatment in any hospitalized COVID-19 patient.

“We saw bigger benefits in patients with more severe infections. The benefits are not as large in patients with mild disease, but I think remdesivir should be considered in any hospitalized patient,” Dr. Beigel said.

This point of view is shared.

“I would give this drug to anyone in the hospital infected with COVID-19 assuming there was an ample supply and no need for rationing,” said Donna E. Sweet, MD, professor of internal medicine, University of Kansas, Wichita. She noted that this study has implications for hospital and hospital staff, as well as for patients.

“This type of reduction in recovery time means a reduction in potential exposures to hospital staff, a reduced need for PPE [personal protective equipment], and it will free up beds in the ICU [intensive care unit],” said Dr. Sweet, who also serves as an editorial advisory board member for Internal Medicine News.

An infectious disease specialist at the University of Minnesota also considers remdesivir to have an important role for conserving resources that deserves emphasis.

The reduction in time to recovery “is of benefit to the health system by maintaining hospital bed capacity,” said David R. Boulware, MD, professor of medicine at the University of Minnesota, Minneapolis.

According to his reading of the available data, including those from ACTT-1, the benefit appears to be greatest in those with a moderate degree of illness, which he defined as “sick enough to be hospitalized and require oxygen, yet not severely sick [and] requiring a ventilator or [extracorporeal membrane oxygenation].”

This does not preclude a benefit in those with more severe or milder disease, but patients with mild disease “are likely to recover regardless – or despite – whatever therapy they receive,” he said.

Dr. Beigel, the principal investigator of this trial, reports no potential conflicts of interest.

SOURCE: Beigel JH et al. N Engl J Med. 2020 Oct 8. doi: 10.1056/NEJMoa2007764.

A final report from the multinational placebo-controlled ACTT-1 trial confirms that remdesivir is effective and well tolerated for shortening the time to recovery from COVID-19 infection.

In May 2020, remdesivir received Food and Drug Administration approval for emergency treatment of severe COVID-19 on the basis of a preliminary report on this trial. In August 2020, the FDA expanded the indication to include all hospitalized adult and pediatric patients with suspected or laboratory-confirmed COVID-19 infection irrespective of severity.

“Our findings were consistent with the findings of the preliminary report: a 10-day course of remdesivir was superior to placebo in the treatment of hospitalized patients with COVID-19,” reported a team of investigators led by John H. Beigel, MD, of the Division of Microbiology and Infectious Diseases at the National Institute of Allergy and Infectious Diseases, in the New England Journal of Medicine.

The drug’s broadened indication was not based on the ACTT-1 trial, according to Dr. Beigel. “Other data have demonstrated that remdesivir shortens recovery in patients with lower acuity. In our study, evidence of pneumonia was an enrollment requirement,” he explained in an interview.

In the newly published final ACTT-1 data, the median time to recovery was 10 days for those on active therapy versus 15 days for those randomized to placebo. With a rate ratio of 1.29 (P less than .001), this translated to a recovery that was about one third faster.

In this final report, remdesivir’s significant advantage over placebo regarding the trial’s primary endpoint was reinforced by efficacy on multiple secondary endpoints.

This benefits on multiple secondary endpoints included a 50% greater odds ratio (OR, 1.5; 95% CI, 1.2-1.9) of significant clinical improvement by day 15 after adjustment for baseline severity, a shorter initial length of hospital stay (12 vs. 17 days) and fewer days on oxygen supplementation (13 vs. 21 days) for the subgroup of patients on oxygen at enrollment.

Although the numerically lower mortality in the remdesivir arm (6.75 vs. 11.9%) did not reach statistical significance, Dr. Beigel said, “mortality was moving in the same direction as the other key endpoints.”

According to the study investigators, the types of rates of adverse events on remdesivir, which inhibits viral replication, “were generally similar in the remdesivir and placebo groups.”

In ACTT-1, 1,062 patients were randomized to remdesivir (200 mg loading dose followed by 100 mg daily for up to 9 days) or placebo. Patients were enrolled at study sites in North America, Europe, and Asia.

The data of ACTT-1 confirm a benefit from remdesivir in hospitalized COVID-19 patients with severe disease, but Dr. Beigel said he agrees with the current FDA indication that supports treatment in any hospitalized COVID-19 patient.

“We saw bigger benefits in patients with more severe infections. The benefits are not as large in patients with mild disease, but I think remdesivir should be considered in any hospitalized patient,” Dr. Beigel said.

This point of view is shared.

“I would give this drug to anyone in the hospital infected with COVID-19 assuming there was an ample supply and no need for rationing,” said Donna E. Sweet, MD, professor of internal medicine, University of Kansas, Wichita. She noted that this study has implications for hospital and hospital staff, as well as for patients.

“This type of reduction in recovery time means a reduction in potential exposures to hospital staff, a reduced need for PPE [personal protective equipment], and it will free up beds in the ICU [intensive care unit],” said Dr. Sweet, who also serves as an editorial advisory board member for Internal Medicine News.

An infectious disease specialist at the University of Minnesota also considers remdesivir to have an important role for conserving resources that deserves emphasis.

The reduction in time to recovery “is of benefit to the health system by maintaining hospital bed capacity,” said David R. Boulware, MD, professor of medicine at the University of Minnesota, Minneapolis.

According to his reading of the available data, including those from ACTT-1, the benefit appears to be greatest in those with a moderate degree of illness, which he defined as “sick enough to be hospitalized and require oxygen, yet not severely sick [and] requiring a ventilator or [extracorporeal membrane oxygenation].”

This does not preclude a benefit in those with more severe or milder disease, but patients with mild disease “are likely to recover regardless – or despite – whatever therapy they receive,” he said.

Dr. Beigel, the principal investigator of this trial, reports no potential conflicts of interest.

SOURCE: Beigel JH et al. N Engl J Med. 2020 Oct 8. doi: 10.1056/NEJMoa2007764.

A final report from the multinational placebo-controlled ACTT-1 trial confirms that remdesivir is effective and well tolerated for shortening the time to recovery from COVID-19 infection.

In May 2020, remdesivir received Food and Drug Administration approval for emergency treatment of severe COVID-19 on the basis of a preliminary report on this trial. In August 2020, the FDA expanded the indication to include all hospitalized adult and pediatric patients with suspected or laboratory-confirmed COVID-19 infection irrespective of severity.

“Our findings were consistent with the findings of the preliminary report: a 10-day course of remdesivir was superior to placebo in the treatment of hospitalized patients with COVID-19,” reported a team of investigators led by John H. Beigel, MD, of the Division of Microbiology and Infectious Diseases at the National Institute of Allergy and Infectious Diseases, in the New England Journal of Medicine.

The drug’s broadened indication was not based on the ACTT-1 trial, according to Dr. Beigel. “Other data have demonstrated that remdesivir shortens recovery in patients with lower acuity. In our study, evidence of pneumonia was an enrollment requirement,” he explained in an interview.

In the newly published final ACTT-1 data, the median time to recovery was 10 days for those on active therapy versus 15 days for those randomized to placebo. With a rate ratio of 1.29 (P less than .001), this translated to a recovery that was about one third faster.

In this final report, remdesivir’s significant advantage over placebo regarding the trial’s primary endpoint was reinforced by efficacy on multiple secondary endpoints.

This benefits on multiple secondary endpoints included a 50% greater odds ratio (OR, 1.5; 95% CI, 1.2-1.9) of significant clinical improvement by day 15 after adjustment for baseline severity, a shorter initial length of hospital stay (12 vs. 17 days) and fewer days on oxygen supplementation (13 vs. 21 days) for the subgroup of patients on oxygen at enrollment.

Although the numerically lower mortality in the remdesivir arm (6.75 vs. 11.9%) did not reach statistical significance, Dr. Beigel said, “mortality was moving in the same direction as the other key endpoints.”

According to the study investigators, the types of rates of adverse events on remdesivir, which inhibits viral replication, “were generally similar in the remdesivir and placebo groups.”

In ACTT-1, 1,062 patients were randomized to remdesivir (200 mg loading dose followed by 100 mg daily for up to 9 days) or placebo. Patients were enrolled at study sites in North America, Europe, and Asia.

The data of ACTT-1 confirm a benefit from remdesivir in hospitalized COVID-19 patients with severe disease, but Dr. Beigel said he agrees with the current FDA indication that supports treatment in any hospitalized COVID-19 patient.

“We saw bigger benefits in patients with more severe infections. The benefits are not as large in patients with mild disease, but I think remdesivir should be considered in any hospitalized patient,” Dr. Beigel said.

This point of view is shared.

“I would give this drug to anyone in the hospital infected with COVID-19 assuming there was an ample supply and no need for rationing,” said Donna E. Sweet, MD, professor of internal medicine, University of Kansas, Wichita. She noted that this study has implications for hospital and hospital staff, as well as for patients.

“This type of reduction in recovery time means a reduction in potential exposures to hospital staff, a reduced need for PPE [personal protective equipment], and it will free up beds in the ICU [intensive care unit],” said Dr. Sweet, who also serves as an editorial advisory board member for Internal Medicine News.

An infectious disease specialist at the University of Minnesota also considers remdesivir to have an important role for conserving resources that deserves emphasis.

The reduction in time to recovery “is of benefit to the health system by maintaining hospital bed capacity,” said David R. Boulware, MD, professor of medicine at the University of Minnesota, Minneapolis.

According to his reading of the available data, including those from ACTT-1, the benefit appears to be greatest in those with a moderate degree of illness, which he defined as “sick enough to be hospitalized and require oxygen, yet not severely sick [and] requiring a ventilator or [extracorporeal membrane oxygenation].”

This does not preclude a benefit in those with more severe or milder disease, but patients with mild disease “are likely to recover regardless – or despite – whatever therapy they receive,” he said.

Dr. Beigel, the principal investigator of this trial, reports no potential conflicts of interest.

SOURCE: Beigel JH et al. N Engl J Med. 2020 Oct 8. doi: 10.1056/NEJMoa2007764.

Inhaled corticosteroids (ICS) do not protect patients with chronic respiratory conditions against COVID-19-related death, a study of almost 1 million individuals in the United Kingdom has shown.

Patients with chronic obstructive pulmonary disease or asthma who used ICS on a regular basis were more likely to die from COVID-19 than COPD or asthma patients who were prescribed non-ICS therapies, reported co-lead author Anna Schultze, PhD, of London School of Hygiene & Tropical Medicine and colleagues.

Of note, the increased risk of death among ICS users likely stemmed from greater severity of preexisting chronic respiratory conditions, instead of directly from ICS usage, which has little apparent impact on COVID-19 mortality, the investigators wrote in Lancet Respiratory Medicine.

These findings conflict with a hypothesis proposed early in the pandemic: that ICS may protect individuals from SARS-CoV-2 infection and poor outcomes with COVID-19.

According to Megan Conroy, MD, of the department of internal medicine at the Ohio State University Wexner Medical Center, Columbus, this hypothesis was based on some unexpected epidemiological findings.

“In general, we tend to think people with underlying lung disease – like COPD or asthma – to be at higher risk for severe forms of lower respiratory tract infections,” Dr. Conroy said. “Somewhat surprisingly, early data in the pandemic showed patients with COPD and asthma [were] underrepresented [among patients with COVID] when compared to the prevalence of these diseases in the population.”

This raised the possibility of an incidental protective effect from regular ICS therapy, which “had some strong theoretic pathophysiologic basis,” Dr. Conroy said, referring to research that demonstrated ICS-mediated downregulation of SARS-CoV-2 entry receptors ACE2 and TMPRSS2.

Dr. Schultze and colleagues noted that investigators for two ongoing randomized controlled trials (NCT04331054, NCT04330586) are studying ICS as an intervention for COVID-19; but neither trial includes individuals already taking ICS for chronic respiratory disease.

The present observational study therefore aimed to assess mortality risk within this population. Data were drawn from electronic health records and a U.K. national mortality database, with follow-up ranging from March 1 to May 6, 2020. Eligibility required a relevant prescription within 4 months of first follow-up. In the COPD group, patients were prescribed a long-acting beta agonist plus a long-acting muscarinic antagonist (LABA–LAMA), LABA alone, LABA plus ICS, LABA–LAMA plus ICS, or ICS alone (if prescribed LABA within 4 months).

In the asthma group, patients received low/medium-dose ICS, high-dose ICS, or a short-acting beta agonist (SABA) alone. Patients with COPD were at least 35 years of age, while those with asthma were 18 years or older. Hazard ratios were adjusted for a variety of covariates, including respiratory disease–exacerbation history, age, sex, body mass index, hypertension, diabetes, and others.

These eligibility criteria returned 148,557 patients with COPD and 818,490 with asthma.

Patients with COPD who were prescribed ICS plus LABA-LAMA or ICS plus LABA had an increased risk of COVID-19-related death, compared with those who did not receive ICS (adjusted hazard ratio, 1.39; 95% confidence interval, 1.10-1.76). Separate analyses of patients who received a triple combination (LABA–LAMA plus ICS) versus those who took a dual combination (LABA plus ICS) showed that triple-combination therapy was significantly associated with increased COVID-19-related mortality (aHR, 1.43; 95% CI, 1.12-1.83), while dual-combination therapy was less so (aHR, 1.29; 95% CI, 0.96-1.74). Non–COVID-19–related mortality was significantly increased for all COPD patients who were prescribed ICS, with or without adjustment for covariates.

Asthma patients prescribed high-dose ICS instead of SABA alone had a slightly greater risk of COVID-19–related death, based on an adjusted hazard ratio of 1.55 (95% CI, 1.10-2.18). Those with asthma who received low/medium–dose ICS demonstrated a slight trend toward increased mortality risk, but this was not significant (aHR, 1.14; 95% CI, 0.85-1.54). ICS usage in the asthma group was not linked with a significant increase in non–COVID-19–related death.

“In summary, we found no evidence of a beneficial effect of regular ICS use among people with COPD and asthma on COVID-19–related mortality,” the investigators concluded.

In agreement with the investigators, Dr. Conroy said that the increased mortality rate among ICS users should not be misconstrued as a medication-related risk.

“While the study found that those with COPD or asthma taking ICS and high-dose ICS were at an increased risk of death, this could easily be explained by the likelihood that those are the patients who are more likely to have more severe underlying lung disease,” Dr. Conroy said. “While this observational study did attempt to control for exacerbation history, the ability to do so by electronic health records data is certainly imperfect.”

With this in mind, patients with chronic respiratory disease should be encouraged to adhere to their usual treatment regimen, Dr. Conroy added.

“There isn’t evidence to increase or decrease medications just because of the pandemic,” she said. “A patient with asthma or COPD should continue to take the medications that are needed to achieve good control of their lung disease.”

The study was funded by the U.K. Medical Research Council. The investigators reported additional relationships with the Wellcome Trust, the Good Thinking Foundation, the Laura and John Arnold Foundation, and others. Dr. Conroy reported no conflicts of interest.

SOURCE: Schultze A et al. Lancet Respir Med. 2020 Sep 24. doi: 10.1016/ S2213-2600(20)30415-X.

Inhaled corticosteroids (ICS) do not protect patients with chronic respiratory conditions against COVID-19-related death, a study of almost 1 million individuals in the United Kingdom has shown.

Patients with chronic obstructive pulmonary disease or asthma who used ICS on a regular basis were more likely to die from COVID-19 than COPD or asthma patients who were prescribed non-ICS therapies, reported co-lead author Anna Schultze, PhD, of London School of Hygiene & Tropical Medicine and colleagues.

Of note, the increased risk of death among ICS users likely stemmed from greater severity of preexisting chronic respiratory conditions, instead of directly from ICS usage, which has little apparent impact on COVID-19 mortality, the investigators wrote in Lancet Respiratory Medicine.

These findings conflict with a hypothesis proposed early in the pandemic: that ICS may protect individuals from SARS-CoV-2 infection and poor outcomes with COVID-19.

According to Megan Conroy, MD, of the department of internal medicine at the Ohio State University Wexner Medical Center, Columbus, this hypothesis was based on some unexpected epidemiological findings.

“In general, we tend to think people with underlying lung disease – like COPD or asthma – to be at higher risk for severe forms of lower respiratory tract infections,” Dr. Conroy said. “Somewhat surprisingly, early data in the pandemic showed patients with COPD and asthma [were] underrepresented [among patients with COVID] when compared to the prevalence of these diseases in the population.”

This raised the possibility of an incidental protective effect from regular ICS therapy, which “had some strong theoretic pathophysiologic basis,” Dr. Conroy said, referring to research that demonstrated ICS-mediated downregulation of SARS-CoV-2 entry receptors ACE2 and TMPRSS2.

Dr. Schultze and colleagues noted that investigators for two ongoing randomized controlled trials (NCT04331054, NCT04330586) are studying ICS as an intervention for COVID-19; but neither trial includes individuals already taking ICS for chronic respiratory disease.

The present observational study therefore aimed to assess mortality risk within this population. Data were drawn from electronic health records and a U.K. national mortality database, with follow-up ranging from March 1 to May 6, 2020. Eligibility required a relevant prescription within 4 months of first follow-up. In the COPD group, patients were prescribed a long-acting beta agonist plus a long-acting muscarinic antagonist (LABA–LAMA), LABA alone, LABA plus ICS, LABA–LAMA plus ICS, or ICS alone (if prescribed LABA within 4 months).

In the asthma group, patients received low/medium-dose ICS, high-dose ICS, or a short-acting beta agonist (SABA) alone. Patients with COPD were at least 35 years of age, while those with asthma were 18 years or older. Hazard ratios were adjusted for a variety of covariates, including respiratory disease–exacerbation history, age, sex, body mass index, hypertension, diabetes, and others.

These eligibility criteria returned 148,557 patients with COPD and 818,490 with asthma.

Patients with COPD who were prescribed ICS plus LABA-LAMA or ICS plus LABA had an increased risk of COVID-19-related death, compared with those who did not receive ICS (adjusted hazard ratio, 1.39; 95% confidence interval, 1.10-1.76). Separate analyses of patients who received a triple combination (LABA–LAMA plus ICS) versus those who took a dual combination (LABA plus ICS) showed that triple-combination therapy was significantly associated with increased COVID-19-related mortality (aHR, 1.43; 95% CI, 1.12-1.83), while dual-combination therapy was less so (aHR, 1.29; 95% CI, 0.96-1.74). Non–COVID-19–related mortality was significantly increased for all COPD patients who were prescribed ICS, with or without adjustment for covariates.

Asthma patients prescribed high-dose ICS instead of SABA alone had a slightly greater risk of COVID-19–related death, based on an adjusted hazard ratio of 1.55 (95% CI, 1.10-2.18). Those with asthma who received low/medium–dose ICS demonstrated a slight trend toward increased mortality risk, but this was not significant (aHR, 1.14; 95% CI, 0.85-1.54). ICS usage in the asthma group was not linked with a significant increase in non–COVID-19–related death.

“In summary, we found no evidence of a beneficial effect of regular ICS use among people with COPD and asthma on COVID-19–related mortality,” the investigators concluded.

In agreement with the investigators, Dr. Conroy said that the increased mortality rate among ICS users should not be misconstrued as a medication-related risk.

“While the study found that those with COPD or asthma taking ICS and high-dose ICS were at an increased risk of death, this could easily be explained by the likelihood that those are the patients who are more likely to have more severe underlying lung disease,” Dr. Conroy said. “While this observational study did attempt to control for exacerbation history, the ability to do so by electronic health records data is certainly imperfect.”

With this in mind, patients with chronic respiratory disease should be encouraged to adhere to their usual treatment regimen, Dr. Conroy added.

“There isn’t evidence to increase or decrease medications just because of the pandemic,” she said. “A patient with asthma or COPD should continue to take the medications that are needed to achieve good control of their lung disease.”

The study was funded by the U.K. Medical Research Council. The investigators reported additional relationships with the Wellcome Trust, the Good Thinking Foundation, the Laura and John Arnold Foundation, and others. Dr. Conroy reported no conflicts of interest.

SOURCE: Schultze A et al. Lancet Respir Med. 2020 Sep 24. doi: 10.1016/ S2213-2600(20)30415-X.

Inhaled corticosteroids (ICS) do not protect patients with chronic respiratory conditions against COVID-19-related death, a study of almost 1 million individuals in the United Kingdom has shown.

Patients with chronic obstructive pulmonary disease or asthma who used ICS on a regular basis were more likely to die from COVID-19 than COPD or asthma patients who were prescribed non-ICS therapies, reported co-lead author Anna Schultze, PhD, of London School of Hygiene & Tropical Medicine and colleagues.

Of note, the increased risk of death among ICS users likely stemmed from greater severity of preexisting chronic respiratory conditions, instead of directly from ICS usage, which has little apparent impact on COVID-19 mortality, the investigators wrote in Lancet Respiratory Medicine.

These findings conflict with a hypothesis proposed early in the pandemic: that ICS may protect individuals from SARS-CoV-2 infection and poor outcomes with COVID-19.

According to Megan Conroy, MD, of the department of internal medicine at the Ohio State University Wexner Medical Center, Columbus, this hypothesis was based on some unexpected epidemiological findings.

“In general, we tend to think people with underlying lung disease – like COPD or asthma – to be at higher risk for severe forms of lower respiratory tract infections,” Dr. Conroy said. “Somewhat surprisingly, early data in the pandemic showed patients with COPD and asthma [were] underrepresented [among patients with COVID] when compared to the prevalence of these diseases in the population.”

This raised the possibility of an incidental protective effect from regular ICS therapy, which “had some strong theoretic pathophysiologic basis,” Dr. Conroy said, referring to research that demonstrated ICS-mediated downregulation of SARS-CoV-2 entry receptors ACE2 and TMPRSS2.

Dr. Schultze and colleagues noted that investigators for two ongoing randomized controlled trials (NCT04331054, NCT04330586) are studying ICS as an intervention for COVID-19; but neither trial includes individuals already taking ICS for chronic respiratory disease.

The present observational study therefore aimed to assess mortality risk within this population. Data were drawn from electronic health records and a U.K. national mortality database, with follow-up ranging from March 1 to May 6, 2020. Eligibility required a relevant prescription within 4 months of first follow-up. In the COPD group, patients were prescribed a long-acting beta agonist plus a long-acting muscarinic antagonist (LABA–LAMA), LABA alone, LABA plus ICS, LABA–LAMA plus ICS, or ICS alone (if prescribed LABA within 4 months).

In the asthma group, patients received low/medium-dose ICS, high-dose ICS, or a short-acting beta agonist (SABA) alone. Patients with COPD were at least 35 years of age, while those with asthma were 18 years or older. Hazard ratios were adjusted for a variety of covariates, including respiratory disease–exacerbation history, age, sex, body mass index, hypertension, diabetes, and others.

These eligibility criteria returned 148,557 patients with COPD and 818,490 with asthma.

Patients with COPD who were prescribed ICS plus LABA-LAMA or ICS plus LABA had an increased risk of COVID-19-related death, compared with those who did not receive ICS (adjusted hazard ratio, 1.39; 95% confidence interval, 1.10-1.76). Separate analyses of patients who received a triple combination (LABA–LAMA plus ICS) versus those who took a dual combination (LABA plus ICS) showed that triple-combination therapy was significantly associated with increased COVID-19-related mortality (aHR, 1.43; 95% CI, 1.12-1.83), while dual-combination therapy was less so (aHR, 1.29; 95% CI, 0.96-1.74). Non–COVID-19–related mortality was significantly increased for all COPD patients who were prescribed ICS, with or without adjustment for covariates.

Asthma patients prescribed high-dose ICS instead of SABA alone had a slightly greater risk of COVID-19–related death, based on an adjusted hazard ratio of 1.55 (95% CI, 1.10-2.18). Those with asthma who received low/medium–dose ICS demonstrated a slight trend toward increased mortality risk, but this was not significant (aHR, 1.14; 95% CI, 0.85-1.54). ICS usage in the asthma group was not linked with a significant increase in non–COVID-19–related death.

“In summary, we found no evidence of a beneficial effect of regular ICS use among people with COPD and asthma on COVID-19–related mortality,” the investigators concluded.

In agreement with the investigators, Dr. Conroy said that the increased mortality rate among ICS users should not be misconstrued as a medication-related risk.

“While the study found that those with COPD or asthma taking ICS and high-dose ICS were at an increased risk of death, this could easily be explained by the likelihood that those are the patients who are more likely to have more severe underlying lung disease,” Dr. Conroy said. “While this observational study did attempt to control for exacerbation history, the ability to do so by electronic health records data is certainly imperfect.”

With this in mind, patients with chronic respiratory disease should be encouraged to adhere to their usual treatment regimen, Dr. Conroy added.

“There isn’t evidence to increase or decrease medications just because of the pandemic,” she said. “A patient with asthma or COPD should continue to take the medications that are needed to achieve good control of their lung disease.”

The study was funded by the U.K. Medical Research Council. The investigators reported additional relationships with the Wellcome Trust, the Good Thinking Foundation, the Laura and John Arnold Foundation, and others. Dr. Conroy reported no conflicts of interest.

SOURCE: Schultze A et al. Lancet Respir Med. 2020 Sep 24. doi: 10.1016/ S2213-2600(20)30415-X.

The federal government is giving hospitals 14 weeks to comply with daily reporting requirements for COVID-19.

Hospitals that fail to meet the requirements will be barred from participating in Medicare and Medicaid, as announced in late August in a final rule.

The Centers for Medicare & Medicaid Services will send letters on October 7 to all 6,200 hospitals that receive reimbursement from the two federal health programs informing them of how well they are doing now, said CMS Administrator Seema Verma on a press call.

Verma would not give an estimate on how many hospitals are currently not compliant. But Deborah Birx, MD, a member of the White House Coronavirus Task Force, said on the call that 86% of hospitals are currently reporting daily.

Federal officials on the call also announced that hospitals would have the option to begin reporting certain data on influenza starting October 19, but that it would become mandatory a few weeks later.

The reporting is important “to really ensure that we’re triangulating all data to understand where this epidemic is, how it’s moving through different populations, and ensuring that we’re meeting the needs of specific hospitals and communities,” Birx said.

The federal government began a new hospital reporting system in April but did not require hospitals to participate until it quietly issued guidance in mid-July informing facilities that they should no longer report to the Centers for Disease Control and Prevention (CDC).

The move perplexed many public health experts and epidemiologists, who expressed concern that asking hospitals to use a new data system during a pandemic could result in delays and lost information. The new HHS data collection site, HHS Protect, is being managed by a private contractor, not the CDC, which also raised alarms.

The final CMS rule issued in August went into effect immediately, without any chance for comment or revision. CMS said at the time that the pandemic was reason enough to skip over the normal bureaucratic process.

Hospitals were not pleased. But Verma claimed that since then CMS had been working with hospital organizations on enforcement.

“We’re going to do everything we can to facilitate reporting, including an enforcement timeline that will provide hospitals ample opportunity to come into compliance,” she said.

Hospitals that do not comply will get a notice every 3 weeks. Three weeks after the second notice, they’ll get weekly notices for a month, and a final termination notice at 14 weeks.

The Federation of American Hospitals (FAH), however, said their members were still not happy. “It is both inappropriate and frankly overkill for CMS to tie compliance with reporting to Medicare conditions of participation,” said FAH President and CEO Chip Kahn in a statement. He called the CMS proposal “sledgehammer enforcement,” and said that the continuing data request might weaken hospitals’ response to the pandemic because it would divert time and money away from patient care.

Rick Pollack, president and CEO of the American Hospital Association called the CMS rule an “overly heavy-handed approach that could jeopardize access to hospital care for all Americans.” He noted in a statement that barring hospitals from Medicare and Medicaid could harm beneficiaries and the effort to provide COVID care.

Pollack also noted that AHA has “observed errors in data processing and confusion about exactly what was being requested at the hospital, state, contractor, and federal level, and has worked diligently with the federal agencies to identify and correct those problems.”

The document that lays out U.S. Department of Health and Human Services (HHS) Protect reporting requirements were updated again on October 6 to add influenza data. The hospitals must report on total patients with laboratory-confirmed flu; previous day’s flu admissions; total ICU patients with lab-confirmed flu; total inpatients with either flu or COVID-19; and the previous day’s deaths for flu and COVID.

CDC Director Robert Redfield, MD, said on the press call that the new data will give the agency crucial hospital-level information and perhaps better estimates of the flu burden. Flu trends have been tracked using the CDC’s Influenza Hospitalization Surveillance Network (FluSurv-NET), which will not be replaced, Redfield said. But that network only tracks hospitalizations in 14 states and does not provide information in “nearly real-time,” he said.

Having the new data “will give us a true situational awareness of severe respiratory illness, provide local hospitalization trends, and help direct resources such as antiretrovirals to address potential increased impact of flu and COVID cocirculation,” Redfield said.

This article first appeared on Medscape.com.

The federal government is giving hospitals 14 weeks to comply with daily reporting requirements for COVID-19.

Hospitals that fail to meet the requirements will be barred from participating in Medicare and Medicaid, as announced in late August in a final rule.

The Centers for Medicare & Medicaid Services will send letters on October 7 to all 6,200 hospitals that receive reimbursement from the two federal health programs informing them of how well they are doing now, said CMS Administrator Seema Verma on a press call.

Verma would not give an estimate on how many hospitals are currently not compliant. But Deborah Birx, MD, a member of the White House Coronavirus Task Force, said on the call that 86% of hospitals are currently reporting daily.

Federal officials on the call also announced that hospitals would have the option to begin reporting certain data on influenza starting October 19, but that it would become mandatory a few weeks later.

The reporting is important “to really ensure that we’re triangulating all data to understand where this epidemic is, how it’s moving through different populations, and ensuring that we’re meeting the needs of specific hospitals and communities,” Birx said.

The federal government began a new hospital reporting system in April but did not require hospitals to participate until it quietly issued guidance in mid-July informing facilities that they should no longer report to the Centers for Disease Control and Prevention (CDC).

The move perplexed many public health experts and epidemiologists, who expressed concern that asking hospitals to use a new data system during a pandemic could result in delays and lost information. The new HHS data collection site, HHS Protect, is being managed by a private contractor, not the CDC, which also raised alarms.

The final CMS rule issued in August went into effect immediately, without any chance for comment or revision. CMS said at the time that the pandemic was reason enough to skip over the normal bureaucratic process.

Hospitals were not pleased. But Verma claimed that since then CMS had been working with hospital organizations on enforcement.

“We’re going to do everything we can to facilitate reporting, including an enforcement timeline that will provide hospitals ample opportunity to come into compliance,” she said.

Hospitals that do not comply will get a notice every 3 weeks. Three weeks after the second notice, they’ll get weekly notices for a month, and a final termination notice at 14 weeks.

The Federation of American Hospitals (FAH), however, said their members were still not happy. “It is both inappropriate and frankly overkill for CMS to tie compliance with reporting to Medicare conditions of participation,” said FAH President and CEO Chip Kahn in a statement. He called the CMS proposal “sledgehammer enforcement,” and said that the continuing data request might weaken hospitals’ response to the pandemic because it would divert time and money away from patient care.

Rick Pollack, president and CEO of the American Hospital Association called the CMS rule an “overly heavy-handed approach that could jeopardize access to hospital care for all Americans.” He noted in a statement that barring hospitals from Medicare and Medicaid could harm beneficiaries and the effort to provide COVID care.

Pollack also noted that AHA has “observed errors in data processing and confusion about exactly what was being requested at the hospital, state, contractor, and federal level, and has worked diligently with the federal agencies to identify and correct those problems.”

The document that lays out U.S. Department of Health and Human Services (HHS) Protect reporting requirements were updated again on October 6 to add influenza data. The hospitals must report on total patients with laboratory-confirmed flu; previous day’s flu admissions; total ICU patients with lab-confirmed flu; total inpatients with either flu or COVID-19; and the previous day’s deaths for flu and COVID.

CDC Director Robert Redfield, MD, said on the press call that the new data will give the agency crucial hospital-level information and perhaps better estimates of the flu burden. Flu trends have been tracked using the CDC’s Influenza Hospitalization Surveillance Network (FluSurv-NET), which will not be replaced, Redfield said. But that network only tracks hospitalizations in 14 states and does not provide information in “nearly real-time,” he said.

Having the new data “will give us a true situational awareness of severe respiratory illness, provide local hospitalization trends, and help direct resources such as antiretrovirals to address potential increased impact of flu and COVID cocirculation,” Redfield said.

This article first appeared on Medscape.com.

The federal government is giving hospitals 14 weeks to comply with daily reporting requirements for COVID-19.

Hospitals that fail to meet the requirements will be barred from participating in Medicare and Medicaid, as announced in late August in a final rule.

The Centers for Medicare & Medicaid Services will send letters on October 7 to all 6,200 hospitals that receive reimbursement from the two federal health programs informing them of how well they are doing now, said CMS Administrator Seema Verma on a press call.

Verma would not give an estimate on how many hospitals are currently not compliant. But Deborah Birx, MD, a member of the White House Coronavirus Task Force, said on the call that 86% of hospitals are currently reporting daily.

Federal officials on the call also announced that hospitals would have the option to begin reporting certain data on influenza starting October 19, but that it would become mandatory a few weeks later.

The reporting is important “to really ensure that we’re triangulating all data to understand where this epidemic is, how it’s moving through different populations, and ensuring that we’re meeting the needs of specific hospitals and communities,” Birx said.

The federal government began a new hospital reporting system in April but did not require hospitals to participate until it quietly issued guidance in mid-July informing facilities that they should no longer report to the Centers for Disease Control and Prevention (CDC).

The move perplexed many public health experts and epidemiologists, who expressed concern that asking hospitals to use a new data system during a pandemic could result in delays and lost information. The new HHS data collection site, HHS Protect, is being managed by a private contractor, not the CDC, which also raised alarms.

The final CMS rule issued in August went into effect immediately, without any chance for comment or revision. CMS said at the time that the pandemic was reason enough to skip over the normal bureaucratic process.

Hospitals were not pleased. But Verma claimed that since then CMS had been working with hospital organizations on enforcement.

“We’re going to do everything we can to facilitate reporting, including an enforcement timeline that will provide hospitals ample opportunity to come into compliance,” she said.

Hospitals that do not comply will get a notice every 3 weeks. Three weeks after the second notice, they’ll get weekly notices for a month, and a final termination notice at 14 weeks.

The Federation of American Hospitals (FAH), however, said their members were still not happy. “It is both inappropriate and frankly overkill for CMS to tie compliance with reporting to Medicare conditions of participation,” said FAH President and CEO Chip Kahn in a statement. He called the CMS proposal “sledgehammer enforcement,” and said that the continuing data request might weaken hospitals’ response to the pandemic because it would divert time and money away from patient care.

Rick Pollack, president and CEO of the American Hospital Association called the CMS rule an “overly heavy-handed approach that could jeopardize access to hospital care for all Americans.” He noted in a statement that barring hospitals from Medicare and Medicaid could harm beneficiaries and the effort to provide COVID care.

Pollack also noted that AHA has “observed errors in data processing and confusion about exactly what was being requested at the hospital, state, contractor, and federal level, and has worked diligently with the federal agencies to identify and correct those problems.”

The document that lays out U.S. Department of Health and Human Services (HHS) Protect reporting requirements were updated again on October 6 to add influenza data. The hospitals must report on total patients with laboratory-confirmed flu; previous day’s flu admissions; total ICU patients with lab-confirmed flu; total inpatients with either flu or COVID-19; and the previous day’s deaths for flu and COVID.

CDC Director Robert Redfield, MD, said on the press call that the new data will give the agency crucial hospital-level information and perhaps better estimates of the flu burden. Flu trends have been tracked using the CDC’s Influenza Hospitalization Surveillance Network (FluSurv-NET), which will not be replaced, Redfield said. But that network only tracks hospitalizations in 14 states and does not provide information in “nearly real-time,” he said.

Having the new data “will give us a true situational awareness of severe respiratory illness, provide local hospitalization trends, and help direct resources such as antiretrovirals to address potential increased impact of flu and COVID cocirculation,” Redfield said.

This article first appeared on Medscape.com.

Chronic obstructive pulmonary disease (COPD) has been the third leading cause of death in the US since 2008.¹ Current management of COPD includes smoking cessation, adequate nutrition, medication therapy, pulmonary rehabilitation, and vaccines.² Outside of pharmacologic management, oxygen therapy has become a staple treatment of chronic hypoxemic respiratory failure due to COPD. Landmark trials, including the Nocturnal Oxygen Therapy Trial (NOTT) and Medical Research Council (MRC) study, demonstrated improved survival in patients with COPD and hypoxemia, particularly if these patients received oxygen for 18 hours per day.^3,4 NOTT prospectively evaluated 203 patients at 6 centers who were randomly allocated to either continuous oxygen therapy or 12-hour nocturnal oxygen therapy. The overall mortality in the nocturnal oxygen therapy group was 1.94 times that in the continuous oxygen therapy group (P = .01).³ The MRC study included 87 patients who were randomized to oxygen therapy or no oxygen; risk of death was 12% per year in the treated group vs 29% per year in the control group (P = .04).⁴ The effectiveness of long-term oxygen therapy (LTOT) in active smokers continues to be a source of debate; although 50% of patients in the NOTT trial were smokers, there was no subgroup analysis of whether smoking status had an impact on survival in those on continuous oxygen therapy.

Although many therapies are available for the treatment of COPD, the most effective treatment to prevent the progression of COPD is smoking cessation. Resources like smoking cessation programs, nicotine patches, and medications, such as bupropion and varenicline, are available to aid smoking cessation.⁵ However, many patients are unable to quit tobacco use despite their best efforts using available resources, and they continue to smoke even with progressive COPD. Long-time smokers also are likely to continue smoking while on LTOT, which increases their risk for fire-related injury.^6-8

Traditional indications are being scrutinized after the LTOT trial found no benefit with respect to time to death or first hospitalization among patients with stable COPD and resting or exercise-induced moderate desaturation.⁹

Although oxygen accelerates combustion and is a potential fire hazard, LTOT has been prescribed even to active smokers as the 2 landmark trials did not exclude patients who were active smokers from receiving oxygen therapy.^3,4 Therefore, LTOT has traditionally been prescribed to veterans who are actively smoking, despite the fire hazard. Attempts at mitigating hazards related to oxygen therapy in active smokers include counseling extensively about safety measures (which includes avoiding open flames such as candles, large fires, or sparks when on LTOT and providing Home Safety Agreements—a written contract between prescriber and patient wherein the patient agrees to abide by the terms of the US Department of Veterans Affairs (VA) to mitigate hazards related to LTOT in order to receive LTOT (eAppendix 

Methods

With this practice in mind, we conducted an institutional review board approved retrospective chart review of all veterans with diagnosis of COPD within the Central Texas Veterans Health Care System (CTVHCS) who were prescribed new LTOT between October 1, 2010 and September 30, 2015. Given the retrospective nature of the chart review, patient consent was not obtained. Inclusion criteria were veterans aged > 18 years who had a confirmed diagnosis of COPD by spirometry and who met criteria for either continuous or ambulation- only oxygen therapy.

Criteria for exclusion included patients with hypoxemia not solely attributable to COPD or due to diseases other than COPD. We reviewed encounters in these patients’ charts, including follow-up in the clinic of the providers prescribing oxygen, to assess for fire-related incidents, defined as events wherein fire was visualized by the patient or by individuals living with the patient and with report provided to medical equipment company providing oxygen; the patient did not have to seek medical care to qualify for fire-related incident. Of the 158 patients who met the criteria for inclusion in the study, 152 were male.

Statistics

Bayesian logistic regression was used to model the outcome variable fire-related incident with the predictors smoking status, age, race, depression, PTSD, and type of oxygen used. Mental health disorders have significant effect on substance use disorders, such as alcohol use. Depression and PTSD were more common mental health diagnoses found in our patient population. Additionally, due to the small sample size, these psychiatric diagnoses were chosen to evaluate the impact of mental health disorders on firerelated events.

Although the sample size of events was small, weakly informative normal priors (0, 2.5) were used to shrink parameter estimates toward 0 and minimize overfitting. Weakly informative normal priors have also been suggested to deal with the problem of quasi-complete separation, where in our case, both smoking and no-PTSD perfectly predicted the 9 fire-related incidents.¹⁰ All input variables were centered and scaled as recommended. ⁹ The model fit well as assessed by posterior predictive checks, and Rhat was 1.00 for all parameters, indicating that all chains converged. Analysis was completed in R version 3.5.1 using the ‘brms’ package for Bayesian modeling.¹¹

Results

The mean age for the 158 included patients was 71.3 years in nonsmokers and 65.9 years in smokers. Fifty-three of the included patients were active smokers when LTOT was initiated. Nine veterans had fire-related incidents during the study period. All 9 patients were actively smoking (about 17%) at the time of the fire incidents. There were no deaths, and 5 patients required hospitalization due to facial burns resulting from the fire-related incidents. Our study focused on 5 baseline characteristics in our population (Table 1). After gathering data, our group inferred that these characteristics had a potential relationship to fire-related incidents compared with other variables that were studied. Future studies could look at other patient characteristics that may be linked to fire-related incidents in patients on LTOT. For example, not having PTSD also perfectly predicts fire-related incidents in our data (ie, none of the participants who had fire-related incidents had PTSD). Although this finding was not within the 95% confidence interval (CI) in the model, it does show that care must be taken when interpreting effects from small samples (Table 2). The modelestimated odds of a fire-related incident occurring in a smoker were 31.6 (5.1-372.7) times more likely than were the odds of a firerelated incident occurring in a nonsmoker, holding all other predictors at their reference level; 95% CI for the odds ratios for all other predictors in the model included a value of 1.

Discussion

This study showed evidence of increased odds of fire-related events in actively smoking patients receiving LTOT compared with patients who do not actively smoke while attempting to adjust for potential confounders. Of the 9 patients who had fire events, 5 required hospitalization for burns.

A similar retrospective cohort study by Sharma and colleagues in 2015 demonstrated an increased risk of burn-related injury when on LTOT but reiterated that the benefit of oxygen outweighs the risk of burn-related injury in patients requiring oxygen therapy.¹² Interestingly, Sharma and colleagues were unable to identify smoking status for the patients studied but further identified factors associated with burn injury to include male sex, low socioeconomic status, oxygen therapy use, and ≥ 3 comorbidities. The study’s conclusion recommended continued education by health care professionals (HCPs) to their patients on LTOT regarding potential for burn injury. In the same vein, the VA National Center for Ethics in Health Care noted that “clinicians should familiarize themselves with the risks and benefits of LTOT; should inform their patients of the risks and benefits without exaggerating the risk associated with smoking; avoid undue coercion inherent in the clinician’s ability to withdraw LTOT; reduce the risk to the greatest degree possible; and consider termination of LTOT in very extreme cases and in consultation with a multidisciplinary committee.”¹³

This statement is in contrast to the guidelines and policies of other countries, such as Sweden, where smoking is a direct contraindication for prescription of oxygen therapy, or in Australia and New Zealand, where the Thoracic Society of Australia and New Zealand oxygen therapy guidelines recommend against prescription of LTOT, citing “increased fire risk and the probability that the poorer prognosis conferred by smoking will offset treatment benefit.”^6,14

The prevalence of oxygen therapy introduces the potential for fire-related incidents with subsequent injury requiring medical care. There are few studies regarding home oxygen fire in the US due to the lack of a uniform reporting system. One study by Wendling and Pelletier analyzed deaths in Maine, Massachusetts, New Hampshire, and Oklahoma between 2000 and 2007 and found 38 deaths directly attributable to home oxygen fires as a result of smoking^.15 Further, the Consumer Product Safety Commission’s National Electronic Injury Surveillance System between 2003 and 2006 attributed 1,190 thermal burns related to home oxygen fires; the majority of which were ignited by tobacco smoking.¹⁵ The Swedish National Register of Respiratory Failure (Swedevox) published prospective population-based, consecutive cohort study that collected data over 17 years and evaluated the risk of fire-related incident in those on LTOT. Of the 12,497 patients sampled, 17 had a burn injury and 2 patients died. The low incidence of burn injury on LTOT was attributed to the strict guidelines instituted in Sweden for doctors to avoid prescribing LTOT to actively smoking patients.⁶ A follow-up study by Tanash and colleagues compared the risk of burn injury in each country, respectively. The results found an increased number of burn injuries in those on oxygen therapy in Denmark, a country with fewer restrictions on smoking compared with those of Sweden.⁷ Similarly, our results showed that the rate of fire and burn injuries was exclusively among veterans who were active smokers. All patients who were prescribed oxygen therapy at CTVHCS received counseling and signed Home Safety Agreements. Despite following the recommendations set forth by the VA on counseling, extensive harm reduction techniques, and close follow-up, we found there was still a high incidence of fires in veterans with COPD on LTOT who continue to smoke.

The findings from our study concur with those previously published regarding the risk of home oxygen fire and concomitant smoking, supporting the idea for more regulated and concrete guidelines for prescribing LTOT to those requiring it.⁸

Limitations

The major limitation was the small sample size of our study. Another limitation was that our study population is predominantly male as is common in veteran cohorts. In fiscal year 2016, the veteran population of Texas was 1,434,361 males and 168,967 females.¹⁶ According to Franklin and colleagues, HCPs noticed an increase use of long-term oxygen among women compared with that of men.¹⁷

Conclusions

Our study showed an increased odds of firerelated incidents of patients while on LTOT, strengthening the argument that even with extensive education, those who smoke and are on LTOT continue to put themselves at risk of a fire-related incident. This finding stresses the importance of continuing patient education on the importance of smoking cessation prior to administration of LTOT or avoiding fire hazards while on LTOT. Further research into LTOT and fire hazards could help in implementing a more structured approval process for patients who want to obtain LTOT. We propose further studies evaluating risk factors for the incidence of fire events among patients prescribed LTOT. A growing and aging population with a need for LTOT necessitates examination of oxygen safe prescribing.

Chronic obstructive pulmonary disease (COPD) has been the third leading cause of death in the US since 2008.¹ Current management of COPD includes smoking cessation, adequate nutrition, medication therapy, pulmonary rehabilitation, and vaccines.² Outside of pharmacologic management, oxygen therapy has become a staple treatment of chronic hypoxemic respiratory failure due to COPD. Landmark trials, including the Nocturnal Oxygen Therapy Trial (NOTT) and Medical Research Council (MRC) study, demonstrated improved survival in patients with COPD and hypoxemia, particularly if these patients received oxygen for 18 hours per day.^3,4 NOTT prospectively evaluated 203 patients at 6 centers who were randomly allocated to either continuous oxygen therapy or 12-hour nocturnal oxygen therapy. The overall mortality in the nocturnal oxygen therapy group was 1.94 times that in the continuous oxygen therapy group (P = .01).³ The MRC study included 87 patients who were randomized to oxygen therapy or no oxygen; risk of death was 12% per year in the treated group vs 29% per year in the control group (P = .04).⁴ The effectiveness of long-term oxygen therapy (LTOT) in active smokers continues to be a source of debate; although 50% of patients in the NOTT trial were smokers, there was no subgroup analysis of whether smoking status had an impact on survival in those on continuous oxygen therapy.

Although many therapies are available for the treatment of COPD, the most effective treatment to prevent the progression of COPD is smoking cessation. Resources like smoking cessation programs, nicotine patches, and medications, such as bupropion and varenicline, are available to aid smoking cessation.⁵ However, many patients are unable to quit tobacco use despite their best efforts using available resources, and they continue to smoke even with progressive COPD. Long-time smokers also are likely to continue smoking while on LTOT, which increases their risk for fire-related injury.^6-8

Traditional indications are being scrutinized after the LTOT trial found no benefit with respect to time to death or first hospitalization among patients with stable COPD and resting or exercise-induced moderate desaturation.⁹

Although oxygen accelerates combustion and is a potential fire hazard, LTOT has been prescribed even to active smokers as the 2 landmark trials did not exclude patients who were active smokers from receiving oxygen therapy.^3,4 Therefore, LTOT has traditionally been prescribed to veterans who are actively smoking, despite the fire hazard. Attempts at mitigating hazards related to oxygen therapy in active smokers include counseling extensively about safety measures (which includes avoiding open flames such as candles, large fires, or sparks when on LTOT and providing Home Safety Agreements—a written contract between prescriber and patient wherein the patient agrees to abide by the terms of the US Department of Veterans Affairs (VA) to mitigate hazards related to LTOT in order to receive LTOT (eAppendix 

Methods

With this practice in mind, we conducted an institutional review board approved retrospective chart review of all veterans with diagnosis of COPD within the Central Texas Veterans Health Care System (CTVHCS) who were prescribed new LTOT between October 1, 2010 and September 30, 2015. Given the retrospective nature of the chart review, patient consent was not obtained. Inclusion criteria were veterans aged > 18 years who had a confirmed diagnosis of COPD by spirometry and who met criteria for either continuous or ambulation- only oxygen therapy.

Criteria for exclusion included patients with hypoxemia not solely attributable to COPD or due to diseases other than COPD. We reviewed encounters in these patients’ charts, including follow-up in the clinic of the providers prescribing oxygen, to assess for fire-related incidents, defined as events wherein fire was visualized by the patient or by individuals living with the patient and with report provided to medical equipment company providing oxygen; the patient did not have to seek medical care to qualify for fire-related incident. Of the 158 patients who met the criteria for inclusion in the study, 152 were male.

Statistics

Bayesian logistic regression was used to model the outcome variable fire-related incident with the predictors smoking status, age, race, depression, PTSD, and type of oxygen used. Mental health disorders have significant effect on substance use disorders, such as alcohol use. Depression and PTSD were more common mental health diagnoses found in our patient population. Additionally, due to the small sample size, these psychiatric diagnoses were chosen to evaluate the impact of mental health disorders on firerelated events.

Although the sample size of events was small, weakly informative normal priors (0, 2.5) were used to shrink parameter estimates toward 0 and minimize overfitting. Weakly informative normal priors have also been suggested to deal with the problem of quasi-complete separation, where in our case, both smoking and no-PTSD perfectly predicted the 9 fire-related incidents.¹⁰ All input variables were centered and scaled as recommended. ⁹ The model fit well as assessed by posterior predictive checks, and Rhat was 1.00 for all parameters, indicating that all chains converged. Analysis was completed in R version 3.5.1 using the ‘brms’ package for Bayesian modeling.¹¹

Results

The mean age for the 158 included patients was 71.3 years in nonsmokers and 65.9 years in smokers. Fifty-three of the included patients were active smokers when LTOT was initiated. Nine veterans had fire-related incidents during the study period. All 9 patients were actively smoking (about 17%) at the time of the fire incidents. There were no deaths, and 5 patients required hospitalization due to facial burns resulting from the fire-related incidents. Our study focused on 5 baseline characteristics in our population (Table 1). After gathering data, our group inferred that these characteristics had a potential relationship to fire-related incidents compared with other variables that were studied. Future studies could look at other patient characteristics that may be linked to fire-related incidents in patients on LTOT. For example, not having PTSD also perfectly predicts fire-related incidents in our data (ie, none of the participants who had fire-related incidents had PTSD). Although this finding was not within the 95% confidence interval (CI) in the model, it does show that care must be taken when interpreting effects from small samples (Table 2). The modelestimated odds of a fire-related incident occurring in a smoker were 31.6 (5.1-372.7) times more likely than were the odds of a firerelated incident occurring in a nonsmoker, holding all other predictors at their reference level; 95% CI for the odds ratios for all other predictors in the model included a value of 1.

Discussion

This study showed evidence of increased odds of fire-related events in actively smoking patients receiving LTOT compared with patients who do not actively smoke while attempting to adjust for potential confounders. Of the 9 patients who had fire events, 5 required hospitalization for burns.

A similar retrospective cohort study by Sharma and colleagues in 2015 demonstrated an increased risk of burn-related injury when on LTOT but reiterated that the benefit of oxygen outweighs the risk of burn-related injury in patients requiring oxygen therapy.¹² Interestingly, Sharma and colleagues were unable to identify smoking status for the patients studied but further identified factors associated with burn injury to include male sex, low socioeconomic status, oxygen therapy use, and ≥ 3 comorbidities. The study’s conclusion recommended continued education by health care professionals (HCPs) to their patients on LTOT regarding potential for burn injury. In the same vein, the VA National Center for Ethics in Health Care noted that “clinicians should familiarize themselves with the risks and benefits of LTOT; should inform their patients of the risks and benefits without exaggerating the risk associated with smoking; avoid undue coercion inherent in the clinician’s ability to withdraw LTOT; reduce the risk to the greatest degree possible; and consider termination of LTOT in very extreme cases and in consultation with a multidisciplinary committee.”¹³

This statement is in contrast to the guidelines and policies of other countries, such as Sweden, where smoking is a direct contraindication for prescription of oxygen therapy, or in Australia and New Zealand, where the Thoracic Society of Australia and New Zealand oxygen therapy guidelines recommend against prescription of LTOT, citing “increased fire risk and the probability that the poorer prognosis conferred by smoking will offset treatment benefit.”^6,14

The prevalence of oxygen therapy introduces the potential for fire-related incidents with subsequent injury requiring medical care. There are few studies regarding home oxygen fire in the US due to the lack of a uniform reporting system. One study by Wendling and Pelletier analyzed deaths in Maine, Massachusetts, New Hampshire, and Oklahoma between 2000 and 2007 and found 38 deaths directly attributable to home oxygen fires as a result of smoking^.15 Further, the Consumer Product Safety Commission’s National Electronic Injury Surveillance System between 2003 and 2006 attributed 1,190 thermal burns related to home oxygen fires; the majority of which were ignited by tobacco smoking.¹⁵ The Swedish National Register of Respiratory Failure (Swedevox) published prospective population-based, consecutive cohort study that collected data over 17 years and evaluated the risk of fire-related incident in those on LTOT. Of the 12,497 patients sampled, 17 had a burn injury and 2 patients died. The low incidence of burn injury on LTOT was attributed to the strict guidelines instituted in Sweden for doctors to avoid prescribing LTOT to actively smoking patients.⁶ A follow-up study by Tanash and colleagues compared the risk of burn injury in each country, respectively. The results found an increased number of burn injuries in those on oxygen therapy in Denmark, a country with fewer restrictions on smoking compared with those of Sweden.⁷ Similarly, our results showed that the rate of fire and burn injuries was exclusively among veterans who were active smokers. All patients who were prescribed oxygen therapy at CTVHCS received counseling and signed Home Safety Agreements. Despite following the recommendations set forth by the VA on counseling, extensive harm reduction techniques, and close follow-up, we found there was still a high incidence of fires in veterans with COPD on LTOT who continue to smoke.

The findings from our study concur with those previously published regarding the risk of home oxygen fire and concomitant smoking, supporting the idea for more regulated and concrete guidelines for prescribing LTOT to those requiring it.⁸

Limitations

The major limitation was the small sample size of our study. Another limitation was that our study population is predominantly male as is common in veteran cohorts. In fiscal year 2016, the veteran population of Texas was 1,434,361 males and 168,967 females.¹⁶ According to Franklin and colleagues, HCPs noticed an increase use of long-term oxygen among women compared with that of men.¹⁷

Conclusions

Our study showed an increased odds of firerelated incidents of patients while on LTOT, strengthening the argument that even with extensive education, those who smoke and are on LTOT continue to put themselves at risk of a fire-related incident. This finding stresses the importance of continuing patient education on the importance of smoking cessation prior to administration of LTOT or avoiding fire hazards while on LTOT. Further research into LTOT and fire hazards could help in implementing a more structured approval process for patients who want to obtain LTOT. We propose further studies evaluating risk factors for the incidence of fire events among patients prescribed LTOT. A growing and aging population with a need for LTOT necessitates examination of oxygen safe prescribing.

Chronic obstructive pulmonary disease (COPD) has been the third leading cause of death in the US since 2008.¹ Current management of COPD includes smoking cessation, adequate nutrition, medication therapy, pulmonary rehabilitation, and vaccines.² Outside of pharmacologic management, oxygen therapy has become a staple treatment of chronic hypoxemic respiratory failure due to COPD. Landmark trials, including the Nocturnal Oxygen Therapy Trial (NOTT) and Medical Research Council (MRC) study, demonstrated improved survival in patients with COPD and hypoxemia, particularly if these patients received oxygen for 18 hours per day.^3,4 NOTT prospectively evaluated 203 patients at 6 centers who were randomly allocated to either continuous oxygen therapy or 12-hour nocturnal oxygen therapy. The overall mortality in the nocturnal oxygen therapy group was 1.94 times that in the continuous oxygen therapy group (P = .01).³ The MRC study included 87 patients who were randomized to oxygen therapy or no oxygen; risk of death was 12% per year in the treated group vs 29% per year in the control group (P = .04).⁴ The effectiveness of long-term oxygen therapy (LTOT) in active smokers continues to be a source of debate; although 50% of patients in the NOTT trial were smokers, there was no subgroup analysis of whether smoking status had an impact on survival in those on continuous oxygen therapy.

Although many therapies are available for the treatment of COPD, the most effective treatment to prevent the progression of COPD is smoking cessation. Resources like smoking cessation programs, nicotine patches, and medications, such as bupropion and varenicline, are available to aid smoking cessation.⁵ However, many patients are unable to quit tobacco use despite their best efforts using available resources, and they continue to smoke even with progressive COPD. Long-time smokers also are likely to continue smoking while on LTOT, which increases their risk for fire-related injury.^6-8

Traditional indications are being scrutinized after the LTOT trial found no benefit with respect to time to death or first hospitalization among patients with stable COPD and resting or exercise-induced moderate desaturation.⁹

Although oxygen accelerates combustion and is a potential fire hazard, LTOT has been prescribed even to active smokers as the 2 landmark trials did not exclude patients who were active smokers from receiving oxygen therapy.^3,4 Therefore, LTOT has traditionally been prescribed to veterans who are actively smoking, despite the fire hazard. Attempts at mitigating hazards related to oxygen therapy in active smokers include counseling extensively about safety measures (which includes avoiding open flames such as candles, large fires, or sparks when on LTOT and providing Home Safety Agreements—a written contract between prescriber and patient wherein the patient agrees to abide by the terms of the US Department of Veterans Affairs (VA) to mitigate hazards related to LTOT in order to receive LTOT (eAppendix 

Methods

With this practice in mind, we conducted an institutional review board approved retrospective chart review of all veterans with diagnosis of COPD within the Central Texas Veterans Health Care System (CTVHCS) who were prescribed new LTOT between October 1, 2010 and September 30, 2015. Given the retrospective nature of the chart review, patient consent was not obtained. Inclusion criteria were veterans aged > 18 years who had a confirmed diagnosis of COPD by spirometry and who met criteria for either continuous or ambulation- only oxygen therapy.

Criteria for exclusion included patients with hypoxemia not solely attributable to COPD or due to diseases other than COPD. We reviewed encounters in these patients’ charts, including follow-up in the clinic of the providers prescribing oxygen, to assess for fire-related incidents, defined as events wherein fire was visualized by the patient or by individuals living with the patient and with report provided to medical equipment company providing oxygen; the patient did not have to seek medical care to qualify for fire-related incident. Of the 158 patients who met the criteria for inclusion in the study, 152 were male.

Statistics

Bayesian logistic regression was used to model the outcome variable fire-related incident with the predictors smoking status, age, race, depression, PTSD, and type of oxygen used. Mental health disorders have significant effect on substance use disorders, such as alcohol use. Depression and PTSD were more common mental health diagnoses found in our patient population. Additionally, due to the small sample size, these psychiatric diagnoses were chosen to evaluate the impact of mental health disorders on firerelated events.

Although the sample size of events was small, weakly informative normal priors (0, 2.5) were used to shrink parameter estimates toward 0 and minimize overfitting. Weakly informative normal priors have also been suggested to deal with the problem of quasi-complete separation, where in our case, both smoking and no-PTSD perfectly predicted the 9 fire-related incidents.¹⁰ All input variables were centered and scaled as recommended. ⁹ The model fit well as assessed by posterior predictive checks, and Rhat was 1.00 for all parameters, indicating that all chains converged. Analysis was completed in R version 3.5.1 using the ‘brms’ package for Bayesian modeling.¹¹

Results

The mean age for the 158 included patients was 71.3 years in nonsmokers and 65.9 years in smokers. Fifty-three of the included patients were active smokers when LTOT was initiated. Nine veterans had fire-related incidents during the study period. All 9 patients were actively smoking (about 17%) at the time of the fire incidents. There were no deaths, and 5 patients required hospitalization due to facial burns resulting from the fire-related incidents. Our study focused on 5 baseline characteristics in our population (Table 1). After gathering data, our group inferred that these characteristics had a potential relationship to fire-related incidents compared with other variables that were studied. Future studies could look at other patient characteristics that may be linked to fire-related incidents in patients on LTOT. For example, not having PTSD also perfectly predicts fire-related incidents in our data (ie, none of the participants who had fire-related incidents had PTSD). Although this finding was not within the 95% confidence interval (CI) in the model, it does show that care must be taken when interpreting effects from small samples (Table 2). The modelestimated odds of a fire-related incident occurring in a smoker were 31.6 (5.1-372.7) times more likely than were the odds of a firerelated incident occurring in a nonsmoker, holding all other predictors at their reference level; 95% CI for the odds ratios for all other predictors in the model included a value of 1.

Discussion

This study showed evidence of increased odds of fire-related events in actively smoking patients receiving LTOT compared with patients who do not actively smoke while attempting to adjust for potential confounders. Of the 9 patients who had fire events, 5 required hospitalization for burns.

A similar retrospective cohort study by Sharma and colleagues in 2015 demonstrated an increased risk of burn-related injury when on LTOT but reiterated that the benefit of oxygen outweighs the risk of burn-related injury in patients requiring oxygen therapy.¹² Interestingly, Sharma and colleagues were unable to identify smoking status for the patients studied but further identified factors associated with burn injury to include male sex, low socioeconomic status, oxygen therapy use, and ≥ 3 comorbidities. The study’s conclusion recommended continued education by health care professionals (HCPs) to their patients on LTOT regarding potential for burn injury. In the same vein, the VA National Center for Ethics in Health Care noted that “clinicians should familiarize themselves with the risks and benefits of LTOT; should inform their patients of the risks and benefits without exaggerating the risk associated with smoking; avoid undue coercion inherent in the clinician’s ability to withdraw LTOT; reduce the risk to the greatest degree possible; and consider termination of LTOT in very extreme cases and in consultation with a multidisciplinary committee.”¹³

This statement is in contrast to the guidelines and policies of other countries, such as Sweden, where smoking is a direct contraindication for prescription of oxygen therapy, or in Australia and New Zealand, where the Thoracic Society of Australia and New Zealand oxygen therapy guidelines recommend against prescription of LTOT, citing “increased fire risk and the probability that the poorer prognosis conferred by smoking will offset treatment benefit.”^6,14

The prevalence of oxygen therapy introduces the potential for fire-related incidents with subsequent injury requiring medical care. There are few studies regarding home oxygen fire in the US due to the lack of a uniform reporting system. One study by Wendling and Pelletier analyzed deaths in Maine, Massachusetts, New Hampshire, and Oklahoma between 2000 and 2007 and found 38 deaths directly attributable to home oxygen fires as a result of smoking^.15 Further, the Consumer Product Safety Commission’s National Electronic Injury Surveillance System between 2003 and 2006 attributed 1,190 thermal burns related to home oxygen fires; the majority of which were ignited by tobacco smoking.¹⁵ The Swedish National Register of Respiratory Failure (Swedevox) published prospective population-based, consecutive cohort study that collected data over 17 years and evaluated the risk of fire-related incident in those on LTOT. Of the 12,497 patients sampled, 17 had a burn injury and 2 patients died. The low incidence of burn injury on LTOT was attributed to the strict guidelines instituted in Sweden for doctors to avoid prescribing LTOT to actively smoking patients.⁶ A follow-up study by Tanash and colleagues compared the risk of burn injury in each country, respectively. The results found an increased number of burn injuries in those on oxygen therapy in Denmark, a country with fewer restrictions on smoking compared with those of Sweden.⁷ Similarly, our results showed that the rate of fire and burn injuries was exclusively among veterans who were active smokers. All patients who were prescribed oxygen therapy at CTVHCS received counseling and signed Home Safety Agreements. Despite following the recommendations set forth by the VA on counseling, extensive harm reduction techniques, and close follow-up, we found there was still a high incidence of fires in veterans with COPD on LTOT who continue to smoke.

The findings from our study concur with those previously published regarding the risk of home oxygen fire and concomitant smoking, supporting the idea for more regulated and concrete guidelines for prescribing LTOT to those requiring it.⁸

Limitations

The major limitation was the small sample size of our study. Another limitation was that our study population is predominantly male as is common in veteran cohorts. In fiscal year 2016, the veteran population of Texas was 1,434,361 males and 168,967 females.¹⁶ According to Franklin and colleagues, HCPs noticed an increase use of long-term oxygen among women compared with that of men.¹⁷

Conclusions

Our study showed an increased odds of firerelated incidents of patients while on LTOT, strengthening the argument that even with extensive education, those who smoke and are on LTOT continue to put themselves at risk of a fire-related incident. This finding stresses the importance of continuing patient education on the importance of smoking cessation prior to administration of LTOT or avoiding fire hazards while on LTOT. Further research into LTOT and fire hazards could help in implementing a more structured approval process for patients who want to obtain LTOT. We propose further studies evaluating risk factors for the incidence of fire events among patients prescribed LTOT. A growing and aging population with a need for LTOT necessitates examination of oxygen safe prescribing.

Substance use disorders (SUD), particularly opioid addiction and smoking, are tied to an increased risk for COVID-19 and serious adverse outcomes including hospitalization and death, new research suggests.

A study funded by the National Institutes of Health assessed electronic health records of more than 73 million patients in the United States. Although only 10.3% of the participants had an SUD, “they represented 15.6% of the COVID-19 cases,” the investigators reported.

In addition, those with a recent diagnosis of SUD were eight times more likely to develop COVID-19 versus those without such a diagnosis. For specific SUDs, the greatest risk was for those with an opioid addiction followed by those who were addicted to cigarettes.

Is nicotine protective?

Dr. Volkow, her fellow senior author Rong Xu, PhD, Case Western Reserve University, Cleveland, and their team conducted the study because data released before the pandemic showed a significant increase in opioid overdose in 2019. “We were in an opioid crisis where we again saw an increase in mortality associated with overdose – and then COVID comes along. So the question was how are people who are already struggling faring? And if they were getting infected [with the coronavirus], what happened to them?”

Patients with SUDs have multiple medical comorbidities that are known risk factors for COVID-19, Dr. Volkow noted.

However, the only specific SUD that has been previously studied in this context is tobacco use disorder, she said. A report from Chinese investigators released early in the pandemic showed that smokers were more likely to be infected by coronavirus and more likely to die from COVID-19.

Interestingly, a cross-sectional study published in April suggested that smoking may be protective against COVID, and Dr. Volkow noted that a clinical study currently being conducted in France is assessing whether wearing a nicotine patch has the potential to prevent the virus.

“That’s very different from looking at a chronic smoker,” she pointed out. “It’s a potential that nicotine as a chemical [could be] a preventive measure as opposed to saying smoking will prevent you from getting COVID.”

Patients with SUDs, said Dr. Volkow, “are likely to be at greater risk because of the effects of drugs in the metabolic system and the interfering with oxygenation in the pulmonary vessels.”

The retrospective case-control study included EHR data from 73.1 million patients. In the study population, 54% were women, 55% were White, 10% Black, 2% Asian, 1% Hispanic/Latino, and the others were classified as other or unknown.

EHRs were collected through June 15 at 360 hospitals in all 50 states and were deidentified to ensure privacy. SUDs included alcohol, tobacco, cannabis, opioid, and cocaine.
 

Racial disparities

Results showed that about 7.5 million participants had a previous SUD diagnosis; of these, 722,370 had been diagnosed within the past year.

Tobacco use disorder was the most common diagnosis (n = 6,414,580), followed by alcohol (1,264,990), cannabis (490,420), opioid (471,520), and cocaine (222,680).

In addition, 12,030 (60% women) were diagnosed with COVID-19 and 1,880 had both COVID-19 and an SUD.

Adjusted analyses revealed that those who had a recent diagnosis of SUD were at a significantly greater increased risk for COVID-19 than individuals without an SUD (adjusted odds ratio, 8.7; 95% confidence interval, 8.4-9.0; P < 10^–30).

This increased risk was greatest in participants with opioid use disorder (aOR, 10.2; 95% CI, 9.1-11.5; P < 10^–30), followed by those with tobacco use disorder (aOR, 8.2; 95% CI, 7.9 - 8.5; P < 10–30).

Alcohol, cocaine, and cannabis had aORs of 7.7, 6.5, and 5.3, respectively. The aOR for lifetime SUD and COVID-19 was 1.5.

Among all patients with COVID-19, hospitalization rates were significantly greater in those with an SUD (43.8%) versus those without (30.1%), as were death rates at 9.6% versus 6.6%, respectively.

Race was a significant risk factor. Black patients with a recent SUD diagnosis were twice as likely as White patients to develop COVID-19 (aOR, 2.2; P < 10^–30), and those specifically with opioid use disorder were four times more likely to develop the disease (aOR, 4.2  P < 10^–25).

Black patients with both COVID-19 and lifetime SUD also had greater hospitalization and death rates versus their White peers (50.7% vs. 35.2% and 13% vs. 8.6%, respectively).

“This surprised me,” Dr. Volkow noted. “You can see the emergence of the racial disparities even under these conditions of really negative outcomes.”
 

Vulnerable populations

Cancer; obesity; HIV; diabetes; cardiovascular disease; and chronic kidney, liver, and lung diseases, which are all risk factors for COVID-19, were more prevalent in the group of patients with a recent SUD diagnosis versus those without.

In addition, asthma, type 2 diabetes, hypertension, obesity, and chronic kidney disease were more prevalent in the Black patents with a recent SUD than in the White patients.

Overall, the findings “identify individuals with SUD as a vulnerable population, especially African Americans with SUDs, who are at significantly increased risk for COVID-19 and its adverse outcomes,” the investigators wrote.

The results also highlight “the need to screen and treat individuals with SUD as part of the strategy to control the pandemic while ensuring no disparities in access to healthcare support,” they added.

Dr. Volkow noted that “marginalization” often occurs for individuals with addiction, making it more difficult for them to access health care services.

“It is incumbent upon clinicians to meet the unique challenges of caring for this vulnerable population, just as they would any other high-risk group,” she said.

“Patients should not just be treated for COVID, but should also be provided with treatment for their substance use disorder,” Dr. Volkow added.
 

‘Pretty convincing’

Andrew J. Saxon, MD, professor in the department of psychiatry and behavioral sciences at the University of Washington, Seattle, called the findings interesting.

“I found it pretty convincing that people who have substance use disorders are probably at higher risk for getting COVID-19 infection and more complications once they are infected,” he said.

Dr. Saxon, who was not involved with the research, is also director of the Center of Excellence in Substance Addiction Treatment and Education and is a member of the American Psychiatric Association’s Council on Addiction Psychiatry.

He noted that an important point from the study was not just about a patient having an SUD being at increased risk for COVID-19 “and a more severe disease trajectory.” Other factors associated with having an SUD, such as increased comorbidities, also likely play a part.

Dr. Saxon agreed that the ongoing opioid epidemic combined with the pandemic led to a “perfect storm” of problems.

“We were making slow but some progress getting more people the medications they need [to treat opioid use disorder], but the pandemic coming along disrupted those efforts. A lot of health care entities had to shut down for a while, seeing patients only remotely,” which led to barriers as many clinicians needed to learn how to proceed using telehealth options, said Dr. Saxon.
 

Universal screening?

Asked whether physicians should screen all patients for SUDs, Dr. Saxon said it’s a complicated question.

“Screening for tobacco and alcohol has a really good evidence base and practices should be doing that. The stigma is there but it’s a lot less than with illegal substances,” he said.

Screening for illegal substances or misuse of prescription substances may not be a good idea in health care settings “when it’s something they can’t do anything about. If you’re going to screen, you would have to have either referral processes in place or treatment available in your facility,” Dr. Saxon said.

Opioid use disorder is “especially amenable to treatment in a primary care or health care setting with prescribers,” he noted.

However, stimulant or cannabis use disorders “require fairly intensive behavioral interventions that are not easy to deliver in many health care settings. And we don›t have the workforce trained up to provide those treatments as widely as they should be,” said Dr. Saxon.

“Unless there’s some way to treat the issue, what’s the point of screening for it? That just creates frustration for patients and clinicians, as well,” he said. “It’s something we’re moving toward but we’re not quite there yet.”

The report authors and Dr. Saxon have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Substance use disorders (SUD), particularly opioid addiction and smoking, are tied to an increased risk for COVID-19 and serious adverse outcomes including hospitalization and death, new research suggests.

A study funded by the National Institutes of Health assessed electronic health records of more than 73 million patients in the United States. Although only 10.3% of the participants had an SUD, “they represented 15.6% of the COVID-19 cases,” the investigators reported.

In addition, those with a recent diagnosis of SUD were eight times more likely to develop COVID-19 versus those without such a diagnosis. For specific SUDs, the greatest risk was for those with an opioid addiction followed by those who were addicted to cigarettes.

Is nicotine protective?

Dr. Volkow, her fellow senior author Rong Xu, PhD, Case Western Reserve University, Cleveland, and their team conducted the study because data released before the pandemic showed a significant increase in opioid overdose in 2019. “We were in an opioid crisis where we again saw an increase in mortality associated with overdose – and then COVID comes along. So the question was how are people who are already struggling faring? And if they were getting infected [with the coronavirus], what happened to them?”

Patients with SUDs have multiple medical comorbidities that are known risk factors for COVID-19, Dr. Volkow noted.

However, the only specific SUD that has been previously studied in this context is tobacco use disorder, she said. A report from Chinese investigators released early in the pandemic showed that smokers were more likely to be infected by coronavirus and more likely to die from COVID-19.

Interestingly, a cross-sectional study published in April suggested that smoking may be protective against COVID, and Dr. Volkow noted that a clinical study currently being conducted in France is assessing whether wearing a nicotine patch has the potential to prevent the virus.

“That’s very different from looking at a chronic smoker,” she pointed out. “It’s a potential that nicotine as a chemical [could be] a preventive measure as opposed to saying smoking will prevent you from getting COVID.”

Patients with SUDs, said Dr. Volkow, “are likely to be at greater risk because of the effects of drugs in the metabolic system and the interfering with oxygenation in the pulmonary vessels.”

The retrospective case-control study included EHR data from 73.1 million patients. In the study population, 54% were women, 55% were White, 10% Black, 2% Asian, 1% Hispanic/Latino, and the others were classified as other or unknown.

EHRs were collected through June 15 at 360 hospitals in all 50 states and were deidentified to ensure privacy. SUDs included alcohol, tobacco, cannabis, opioid, and cocaine.
 

Racial disparities

Results showed that about 7.5 million participants had a previous SUD diagnosis; of these, 722,370 had been diagnosed within the past year.

Tobacco use disorder was the most common diagnosis (n = 6,414,580), followed by alcohol (1,264,990), cannabis (490,420), opioid (471,520), and cocaine (222,680).

In addition, 12,030 (60% women) were diagnosed with COVID-19 and 1,880 had both COVID-19 and an SUD.

Adjusted analyses revealed that those who had a recent diagnosis of SUD were at a significantly greater increased risk for COVID-19 than individuals without an SUD (adjusted odds ratio, 8.7; 95% confidence interval, 8.4-9.0; P < 10^–30).

This increased risk was greatest in participants with opioid use disorder (aOR, 10.2; 95% CI, 9.1-11.5; P < 10^–30), followed by those with tobacco use disorder (aOR, 8.2; 95% CI, 7.9 - 8.5; P < 10–30).

Alcohol, cocaine, and cannabis had aORs of 7.7, 6.5, and 5.3, respectively. The aOR for lifetime SUD and COVID-19 was 1.5.

Among all patients with COVID-19, hospitalization rates were significantly greater in those with an SUD (43.8%) versus those without (30.1%), as were death rates at 9.6% versus 6.6%, respectively.

Race was a significant risk factor. Black patients with a recent SUD diagnosis were twice as likely as White patients to develop COVID-19 (aOR, 2.2; P < 10^–30), and those specifically with opioid use disorder were four times more likely to develop the disease (aOR, 4.2  P < 10^–25).

Black patients with both COVID-19 and lifetime SUD also had greater hospitalization and death rates versus their White peers (50.7% vs. 35.2% and 13% vs. 8.6%, respectively).

“This surprised me,” Dr. Volkow noted. “You can see the emergence of the racial disparities even under these conditions of really negative outcomes.”
 

Vulnerable populations

Cancer; obesity; HIV; diabetes; cardiovascular disease; and chronic kidney, liver, and lung diseases, which are all risk factors for COVID-19, were more prevalent in the group of patients with a recent SUD diagnosis versus those without.

In addition, asthma, type 2 diabetes, hypertension, obesity, and chronic kidney disease were more prevalent in the Black patents with a recent SUD than in the White patients.

Overall, the findings “identify individuals with SUD as a vulnerable population, especially African Americans with SUDs, who are at significantly increased risk for COVID-19 and its adverse outcomes,” the investigators wrote.

The results also highlight “the need to screen and treat individuals with SUD as part of the strategy to control the pandemic while ensuring no disparities in access to healthcare support,” they added.

Dr. Volkow noted that “marginalization” often occurs for individuals with addiction, making it more difficult for them to access health care services.

“It is incumbent upon clinicians to meet the unique challenges of caring for this vulnerable population, just as they would any other high-risk group,” she said.

“Patients should not just be treated for COVID, but should also be provided with treatment for their substance use disorder,” Dr. Volkow added.
 

‘Pretty convincing’

Andrew J. Saxon, MD, professor in the department of psychiatry and behavioral sciences at the University of Washington, Seattle, called the findings interesting.

“I found it pretty convincing that people who have substance use disorders are probably at higher risk for getting COVID-19 infection and more complications once they are infected,” he said.

Dr. Saxon, who was not involved with the research, is also director of the Center of Excellence in Substance Addiction Treatment and Education and is a member of the American Psychiatric Association’s Council on Addiction Psychiatry.

He noted that an important point from the study was not just about a patient having an SUD being at increased risk for COVID-19 “and a more severe disease trajectory.” Other factors associated with having an SUD, such as increased comorbidities, also likely play a part.

Dr. Saxon agreed that the ongoing opioid epidemic combined with the pandemic led to a “perfect storm” of problems.

“We were making slow but some progress getting more people the medications they need [to treat opioid use disorder], but the pandemic coming along disrupted those efforts. A lot of health care entities had to shut down for a while, seeing patients only remotely,” which led to barriers as many clinicians needed to learn how to proceed using telehealth options, said Dr. Saxon.
 

Universal screening?

Asked whether physicians should screen all patients for SUDs, Dr. Saxon said it’s a complicated question.

“Screening for tobacco and alcohol has a really good evidence base and practices should be doing that. The stigma is there but it’s a lot less than with illegal substances,” he said.

Screening for illegal substances or misuse of prescription substances may not be a good idea in health care settings “when it’s something they can’t do anything about. If you’re going to screen, you would have to have either referral processes in place or treatment available in your facility,” Dr. Saxon said.

Opioid use disorder is “especially amenable to treatment in a primary care or health care setting with prescribers,” he noted.

However, stimulant or cannabis use disorders “require fairly intensive behavioral interventions that are not easy to deliver in many health care settings. And we don›t have the workforce trained up to provide those treatments as widely as they should be,” said Dr. Saxon.

“Unless there’s some way to treat the issue, what’s the point of screening for it? That just creates frustration for patients and clinicians, as well,” he said. “It’s something we’re moving toward but we’re not quite there yet.”

The report authors and Dr. Saxon have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Substance use disorders (SUD), particularly opioid addiction and smoking, are tied to an increased risk for COVID-19 and serious adverse outcomes including hospitalization and death, new research suggests.

A study funded by the National Institutes of Health assessed electronic health records of more than 73 million patients in the United States. Although only 10.3% of the participants had an SUD, “they represented 15.6% of the COVID-19 cases,” the investigators reported.

In addition, those with a recent diagnosis of SUD were eight times more likely to develop COVID-19 versus those without such a diagnosis. For specific SUDs, the greatest risk was for those with an opioid addiction followed by those who were addicted to cigarettes.

Is nicotine protective?

Dr. Volkow, her fellow senior author Rong Xu, PhD, Case Western Reserve University, Cleveland, and their team conducted the study because data released before the pandemic showed a significant increase in opioid overdose in 2019. “We were in an opioid crisis where we again saw an increase in mortality associated with overdose – and then COVID comes along. So the question was how are people who are already struggling faring? And if they were getting infected [with the coronavirus], what happened to them?”

Patients with SUDs have multiple medical comorbidities that are known risk factors for COVID-19, Dr. Volkow noted.

However, the only specific SUD that has been previously studied in this context is tobacco use disorder, she said. A report from Chinese investigators released early in the pandemic showed that smokers were more likely to be infected by coronavirus and more likely to die from COVID-19.

Interestingly, a cross-sectional study published in April suggested that smoking may be protective against COVID, and Dr. Volkow noted that a clinical study currently being conducted in France is assessing whether wearing a nicotine patch has the potential to prevent the virus.

“That’s very different from looking at a chronic smoker,” she pointed out. “It’s a potential that nicotine as a chemical [could be] a preventive measure as opposed to saying smoking will prevent you from getting COVID.”

Patients with SUDs, said Dr. Volkow, “are likely to be at greater risk because of the effects of drugs in the metabolic system and the interfering with oxygenation in the pulmonary vessels.”

The retrospective case-control study included EHR data from 73.1 million patients. In the study population, 54% were women, 55% were White, 10% Black, 2% Asian, 1% Hispanic/Latino, and the others were classified as other or unknown.

EHRs were collected through June 15 at 360 hospitals in all 50 states and were deidentified to ensure privacy. SUDs included alcohol, tobacco, cannabis, opioid, and cocaine.
 

Racial disparities

Results showed that about 7.5 million participants had a previous SUD diagnosis; of these, 722,370 had been diagnosed within the past year.

Tobacco use disorder was the most common diagnosis (n = 6,414,580), followed by alcohol (1,264,990), cannabis (490,420), opioid (471,520), and cocaine (222,680).

In addition, 12,030 (60% women) were diagnosed with COVID-19 and 1,880 had both COVID-19 and an SUD.

Adjusted analyses revealed that those who had a recent diagnosis of SUD were at a significantly greater increased risk for COVID-19 than individuals without an SUD (adjusted odds ratio, 8.7; 95% confidence interval, 8.4-9.0; P < 10^–30).

This increased risk was greatest in participants with opioid use disorder (aOR, 10.2; 95% CI, 9.1-11.5; P < 10^–30), followed by those with tobacco use disorder (aOR, 8.2; 95% CI, 7.9 - 8.5; P < 10–30).

Alcohol, cocaine, and cannabis had aORs of 7.7, 6.5, and 5.3, respectively. The aOR for lifetime SUD and COVID-19 was 1.5.

Among all patients with COVID-19, hospitalization rates were significantly greater in those with an SUD (43.8%) versus those without (30.1%), as were death rates at 9.6% versus 6.6%, respectively.

Race was a significant risk factor. Black patients with a recent SUD diagnosis were twice as likely as White patients to develop COVID-19 (aOR, 2.2; P < 10^–30), and those specifically with opioid use disorder were four times more likely to develop the disease (aOR, 4.2  P < 10^–25).

Black patients with both COVID-19 and lifetime SUD also had greater hospitalization and death rates versus their White peers (50.7% vs. 35.2% and 13% vs. 8.6%, respectively).

“This surprised me,” Dr. Volkow noted. “You can see the emergence of the racial disparities even under these conditions of really negative outcomes.”
 

Vulnerable populations

Cancer; obesity; HIV; diabetes; cardiovascular disease; and chronic kidney, liver, and lung diseases, which are all risk factors for COVID-19, were more prevalent in the group of patients with a recent SUD diagnosis versus those without.

In addition, asthma, type 2 diabetes, hypertension, obesity, and chronic kidney disease were more prevalent in the Black patents with a recent SUD than in the White patients.

Overall, the findings “identify individuals with SUD as a vulnerable population, especially African Americans with SUDs, who are at significantly increased risk for COVID-19 and its adverse outcomes,” the investigators wrote.

The results also highlight “the need to screen and treat individuals with SUD as part of the strategy to control the pandemic while ensuring no disparities in access to healthcare support,” they added.

Dr. Volkow noted that “marginalization” often occurs for individuals with addiction, making it more difficult for them to access health care services.

“It is incumbent upon clinicians to meet the unique challenges of caring for this vulnerable population, just as they would any other high-risk group,” she said.

“Patients should not just be treated for COVID, but should also be provided with treatment for their substance use disorder,” Dr. Volkow added.
 

‘Pretty convincing’

Andrew J. Saxon, MD, professor in the department of psychiatry and behavioral sciences at the University of Washington, Seattle, called the findings interesting.

“I found it pretty convincing that people who have substance use disorders are probably at higher risk for getting COVID-19 infection and more complications once they are infected,” he said.

Dr. Saxon, who was not involved with the research, is also director of the Center of Excellence in Substance Addiction Treatment and Education and is a member of the American Psychiatric Association’s Council on Addiction Psychiatry.

He noted that an important point from the study was not just about a patient having an SUD being at increased risk for COVID-19 “and a more severe disease trajectory.” Other factors associated with having an SUD, such as increased comorbidities, also likely play a part.

Dr. Saxon agreed that the ongoing opioid epidemic combined with the pandemic led to a “perfect storm” of problems.

“We were making slow but some progress getting more people the medications they need [to treat opioid use disorder], but the pandemic coming along disrupted those efforts. A lot of health care entities had to shut down for a while, seeing patients only remotely,” which led to barriers as many clinicians needed to learn how to proceed using telehealth options, said Dr. Saxon.
 

Universal screening?

Asked whether physicians should screen all patients for SUDs, Dr. Saxon said it’s a complicated question.

“Screening for tobacco and alcohol has a really good evidence base and practices should be doing that. The stigma is there but it’s a lot less than with illegal substances,” he said.

Screening for illegal substances or misuse of prescription substances may not be a good idea in health care settings “when it’s something they can’t do anything about. If you’re going to screen, you would have to have either referral processes in place or treatment available in your facility,” Dr. Saxon said.

Opioid use disorder is “especially amenable to treatment in a primary care or health care setting with prescribers,” he noted.

However, stimulant or cannabis use disorders “require fairly intensive behavioral interventions that are not easy to deliver in many health care settings. And we don›t have the workforce trained up to provide those treatments as widely as they should be,” said Dr. Saxon.

“Unless there’s some way to treat the issue, what’s the point of screening for it? That just creates frustration for patients and clinicians, as well,” he said. “It’s something we’re moving toward but we’re not quite there yet.”

The report authors and Dr. Saxon have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Black and Hispanic children comprised significantly more cases of COVID-19, compared with White children, based on data from a large, cross-sectional study of 1,000 cases.

“Data regarding disparities in SARS-CoV-2 infection and outcomes have been, thus far, mostly limited to adults,” wrote Monika K. Goyal, MD, of Children’s National Hospital, Washington, and colleagues. “Additional data further suggest that low socioeconomic status may further exacerbate health outcomes for racial and ethnic minorities.”

In a study published in Pediatrics, the researchers conducted a cross-sectional analysis of 1,000 children from a registry of non–acutely ill pediatric patients seen at a drive-through and walk-up COVID-19 test site.
 

Minority, socioeconomic status affect pediatric outcomes too

Overall, 207 (21%) of the children tested positive for COVID-19; of these 46% were Hispanic, 30% were non-Hispanic Black, and 7% were non-Hispanic White. The median age of the study population was 8 years, and approximately half were male.

The researchers also examined the association of median family income (MFI) using census block group estimates data from the American Community Survey (2014–2018) to represent socioeconomic status.

Infection rates were significantly higher among children in the lowest three quartiles of MFI (24%, 27%, and 38% for quartiles 3, 2, and 1, respectively), compared with the highest quartile of MFI (9%).

After adjusting for age, sex, and MFI, Hispanic children were six times more likely and non-Hispanic Black children were twice as likely to test positive for COVID-19 than non-Hispanic White children (adjusted odds ratios, 6.3 and 2.3, respectively).

The study findings were limited by several factors including the use of clinician-reported ethnicity and thus potential for misclassification, the researchers noted. In addition, the socioeconomic and racial disparities may be underestimated because these groups have less access to primary care, and the study did not allow for confounding variables including housing conditions or occupancy.

“Although it was beyond the scope of this study to understand the causes for these differential rates of infection, the causes may be multifactorial, including, but not limited to, structural factors, poorer access to health care, limited resources, and bias and discrimination,” the researchers noted. In addition, the high infection rate among minority children may be impacted by parents who are less able to telework, find child care, or avoid public transportation, Dr. Goyal and associates wrote.

Future research should address “the modifiable reasons for these observed disparities as well as their differential impact in terms of SARS-CoV-2–related morbidity and mortality outcomes to mitigate the spread of infection and its health effects,” they concluded.
 

How to help

“This study is important because we need to understand which groups of children are at highest risk for SARS-CoV-2 infection in order to maximize efforts for screening, allocating resources, and prioritizing vaccine administration,” Karalyn Kinsella, MD, a pediatrician in private practice in Cheshire, Conn., said in an interview.

Dr. Kinsella said she was not surprised at the higher infection rates in general in minorities and low socioeconomic groups. “We already knew that adult COVID-19 rates were higher for people in certain racial/ethnic groups and those with socioeconomic disadvantages; however, I was shocked by the percentages. That is a huge burden for a population that already has disparities in health outcomes.”

“As the authors cite, this was not a research study of why these groups were more likely to be COVID-19 positive, but they speculated that crowded living conditions, multigenerational families living together, and many minorities being essential workers unable to work from home,” said Dr. Kinsella. Additional factors contributing to higher infection rates may include limited access to care, transportation issues, insurance coverage, schedule challenges, and fear of deportation. Some of these problems might be addressed by coming into communities in mobile vans, visiting community health centers and schools with free educational materials, using masks and hand sanitizer, and offering free access to testing.

“Future studies could confirm the cause of this discrepancy, as well as study community-based interventions and their outcomes,” Dr. Kinsella said. In the meantime, a take-home message for clinicians is the need to prioritize screening, resources, and vaccines to reflect the higher rates of SARS-CoV-2 infections in children from disadvantaged racial and socioeconomic backgrounds.

The study received no outside funding. The researchers had no financial conflicts to disclose, but lead author Dr. Goyal is a member of the Pediatrics editorial board. Dr. Kinsella had no financial conflicts to disclose, but serves on the Pediatric News editorial advisory board.

SOURCE: Goyal MK et al. Pediatrics. 2020 Sep 24. doi: 10.1542/peds.2020-009951.

Black and Hispanic children comprised significantly more cases of COVID-19, compared with White children, based on data from a large, cross-sectional study of 1,000 cases.

“Data regarding disparities in SARS-CoV-2 infection and outcomes have been, thus far, mostly limited to adults,” wrote Monika K. Goyal, MD, of Children’s National Hospital, Washington, and colleagues. “Additional data further suggest that low socioeconomic status may further exacerbate health outcomes for racial and ethnic minorities.”

In a study published in Pediatrics, the researchers conducted a cross-sectional analysis of 1,000 children from a registry of non–acutely ill pediatric patients seen at a drive-through and walk-up COVID-19 test site.
 

Minority, socioeconomic status affect pediatric outcomes too

Overall, 207 (21%) of the children tested positive for COVID-19; of these 46% were Hispanic, 30% were non-Hispanic Black, and 7% were non-Hispanic White. The median age of the study population was 8 years, and approximately half were male.

The researchers also examined the association of median family income (MFI) using census block group estimates data from the American Community Survey (2014–2018) to represent socioeconomic status.

Infection rates were significantly higher among children in the lowest three quartiles of MFI (24%, 27%, and 38% for quartiles 3, 2, and 1, respectively), compared with the highest quartile of MFI (9%).

After adjusting for age, sex, and MFI, Hispanic children were six times more likely and non-Hispanic Black children were twice as likely to test positive for COVID-19 than non-Hispanic White children (adjusted odds ratios, 6.3 and 2.3, respectively).

The study findings were limited by several factors including the use of clinician-reported ethnicity and thus potential for misclassification, the researchers noted. In addition, the socioeconomic and racial disparities may be underestimated because these groups have less access to primary care, and the study did not allow for confounding variables including housing conditions or occupancy.

“Although it was beyond the scope of this study to understand the causes for these differential rates of infection, the causes may be multifactorial, including, but not limited to, structural factors, poorer access to health care, limited resources, and bias and discrimination,” the researchers noted. In addition, the high infection rate among minority children may be impacted by parents who are less able to telework, find child care, or avoid public transportation, Dr. Goyal and associates wrote.

Future research should address “the modifiable reasons for these observed disparities as well as their differential impact in terms of SARS-CoV-2–related morbidity and mortality outcomes to mitigate the spread of infection and its health effects,” they concluded.
 

How to help

“This study is important because we need to understand which groups of children are at highest risk for SARS-CoV-2 infection in order to maximize efforts for screening, allocating resources, and prioritizing vaccine administration,” Karalyn Kinsella, MD, a pediatrician in private practice in Cheshire, Conn., said in an interview.

Dr. Kinsella said she was not surprised at the higher infection rates in general in minorities and low socioeconomic groups. “We already knew that adult COVID-19 rates were higher for people in certain racial/ethnic groups and those with socioeconomic disadvantages; however, I was shocked by the percentages. That is a huge burden for a population that already has disparities in health outcomes.”

“As the authors cite, this was not a research study of why these groups were more likely to be COVID-19 positive, but they speculated that crowded living conditions, multigenerational families living together, and many minorities being essential workers unable to work from home,” said Dr. Kinsella. Additional factors contributing to higher infection rates may include limited access to care, transportation issues, insurance coverage, schedule challenges, and fear of deportation. Some of these problems might be addressed by coming into communities in mobile vans, visiting community health centers and schools with free educational materials, using masks and hand sanitizer, and offering free access to testing.

“Future studies could confirm the cause of this discrepancy, as well as study community-based interventions and their outcomes,” Dr. Kinsella said. In the meantime, a take-home message for clinicians is the need to prioritize screening, resources, and vaccines to reflect the higher rates of SARS-CoV-2 infections in children from disadvantaged racial and socioeconomic backgrounds.

The study received no outside funding. The researchers had no financial conflicts to disclose, but lead author Dr. Goyal is a member of the Pediatrics editorial board. Dr. Kinsella had no financial conflicts to disclose, but serves on the Pediatric News editorial advisory board.

SOURCE: Goyal MK et al. Pediatrics. 2020 Sep 24. doi: 10.1542/peds.2020-009951.

Black and Hispanic children comprised significantly more cases of COVID-19, compared with White children, based on data from a large, cross-sectional study of 1,000 cases.

“Data regarding disparities in SARS-CoV-2 infection and outcomes have been, thus far, mostly limited to adults,” wrote Monika K. Goyal, MD, of Children’s National Hospital, Washington, and colleagues. “Additional data further suggest that low socioeconomic status may further exacerbate health outcomes for racial and ethnic minorities.”

In a study published in Pediatrics, the researchers conducted a cross-sectional analysis of 1,000 children from a registry of non–acutely ill pediatric patients seen at a drive-through and walk-up COVID-19 test site.
 

Minority, socioeconomic status affect pediatric outcomes too

Overall, 207 (21%) of the children tested positive for COVID-19; of these 46% were Hispanic, 30% were non-Hispanic Black, and 7% were non-Hispanic White. The median age of the study population was 8 years, and approximately half were male.

The researchers also examined the association of median family income (MFI) using census block group estimates data from the American Community Survey (2014–2018) to represent socioeconomic status.

Infection rates were significantly higher among children in the lowest three quartiles of MFI (24%, 27%, and 38% for quartiles 3, 2, and 1, respectively), compared with the highest quartile of MFI (9%).

After adjusting for age, sex, and MFI, Hispanic children were six times more likely and non-Hispanic Black children were twice as likely to test positive for COVID-19 than non-Hispanic White children (adjusted odds ratios, 6.3 and 2.3, respectively).

The study findings were limited by several factors including the use of clinician-reported ethnicity and thus potential for misclassification, the researchers noted. In addition, the socioeconomic and racial disparities may be underestimated because these groups have less access to primary care, and the study did not allow for confounding variables including housing conditions or occupancy.

“Although it was beyond the scope of this study to understand the causes for these differential rates of infection, the causes may be multifactorial, including, but not limited to, structural factors, poorer access to health care, limited resources, and bias and discrimination,” the researchers noted. In addition, the high infection rate among minority children may be impacted by parents who are less able to telework, find child care, or avoid public transportation, Dr. Goyal and associates wrote.

Future research should address “the modifiable reasons for these observed disparities as well as their differential impact in terms of SARS-CoV-2–related morbidity and mortality outcomes to mitigate the spread of infection and its health effects,” they concluded.
 

How to help

“This study is important because we need to understand which groups of children are at highest risk for SARS-CoV-2 infection in order to maximize efforts for screening, allocating resources, and prioritizing vaccine administration,” Karalyn Kinsella, MD, a pediatrician in private practice in Cheshire, Conn., said in an interview.

Dr. Kinsella said she was not surprised at the higher infection rates in general in minorities and low socioeconomic groups. “We already knew that adult COVID-19 rates were higher for people in certain racial/ethnic groups and those with socioeconomic disadvantages; however, I was shocked by the percentages. That is a huge burden for a population that already has disparities in health outcomes.”

“As the authors cite, this was not a research study of why these groups were more likely to be COVID-19 positive, but they speculated that crowded living conditions, multigenerational families living together, and many minorities being essential workers unable to work from home,” said Dr. Kinsella. Additional factors contributing to higher infection rates may include limited access to care, transportation issues, insurance coverage, schedule challenges, and fear of deportation. Some of these problems might be addressed by coming into communities in mobile vans, visiting community health centers and schools with free educational materials, using masks and hand sanitizer, and offering free access to testing.

“Future studies could confirm the cause of this discrepancy, as well as study community-based interventions and their outcomes,” Dr. Kinsella said. In the meantime, a take-home message for clinicians is the need to prioritize screening, resources, and vaccines to reflect the higher rates of SARS-CoV-2 infections in children from disadvantaged racial and socioeconomic backgrounds.

The study received no outside funding. The researchers had no financial conflicts to disclose, but lead author Dr. Goyal is a member of the Pediatrics editorial board. Dr. Kinsella had no financial conflicts to disclose, but serves on the Pediatric News editorial advisory board.

SOURCE: Goyal MK et al. Pediatrics. 2020 Sep 24. doi: 10.1542/peds.2020-009951.

Current and former users of e-cigarettes are more likely to report sleep deprivation, compared with those who have never used e-cigarettes, according to the first study to evaluate the association in a large, nationally representative population of young adults.

“The e-cigarette use and sleep deprivation association seems to have a dose-response nature as the point estimate of the association increased with increased exposure to e-cigarette,” Sina Kianersi, DVM, and associates at Indiana University, Bloomington, said in Addictive Behaviors.

Sleep deprivation was 49% more prevalent among everyday users of e-cigarettes, compared with nonusers. Prevalence ratios for former users (1.31) and occasional users (1.25) also showed significantly higher sleep deprivation, compared with nonusers, they reported based on a bivariate analysis of data from young adults aged 18-24 years who participated in the 2017 and 2018 Behavioral Risk Factor Surveillance System surveys.

After adjustment for multiple confounders, young adults who currently used e-cigarettes every day were 42% more likely to report sleep deprivation than those who never used e-cigarettes, a difference that was statistically significant. The prevalence of sleep deprivation among those who used e-cigarettes on some days was not significantly higher (prevalence ratio, 1.08), but the ratio between former users and never users was a significant 1.17, the investigators said.

“The nicotine in the inhaled e-cigarette aerosols may have negative effects on sleep architecture and disturb the neurotransmitters that regulate sleep cycle,” they suggested, and since higher doses of nicotine produce greater reductions in sleep duration, “those who use e-cigarette on a daily basis might consume higher doses of nicotine, compared to some days, former, and never users, and therefore get fewer hours of sleep.”

Nicotine withdrawal, on the other hand, has been found to increase sleep duration in a dose-dependent manner, which “could explain the smaller [prevalence ratios] observed for the association between e-cigarette use and sleep deprivation among former and some days e-cigarette users,” Dr. Kianersi and associates added.

The bivariate analysis involved 18,945 survey respondents, of whom 16,427 were included in the fully adjusted model using 12 confounding factors.

rfranki@mdedge.com

SOURCE: Kianersi S et al. Addict Behav. 2020 Sep 6. doi: 10.1016/j.addbeh.2020.106646.

Current and former users of e-cigarettes are more likely to report sleep deprivation, compared with those who have never used e-cigarettes, according to the first study to evaluate the association in a large, nationally representative population of young adults.

“The e-cigarette use and sleep deprivation association seems to have a dose-response nature as the point estimate of the association increased with increased exposure to e-cigarette,” Sina Kianersi, DVM, and associates at Indiana University, Bloomington, said in Addictive Behaviors.

Sleep deprivation was 49% more prevalent among everyday users of e-cigarettes, compared with nonusers. Prevalence ratios for former users (1.31) and occasional users (1.25) also showed significantly higher sleep deprivation, compared with nonusers, they reported based on a bivariate analysis of data from young adults aged 18-24 years who participated in the 2017 and 2018 Behavioral Risk Factor Surveillance System surveys.

After adjustment for multiple confounders, young adults who currently used e-cigarettes every day were 42% more likely to report sleep deprivation than those who never used e-cigarettes, a difference that was statistically significant. The prevalence of sleep deprivation among those who used e-cigarettes on some days was not significantly higher (prevalence ratio, 1.08), but the ratio between former users and never users was a significant 1.17, the investigators said.

“The nicotine in the inhaled e-cigarette aerosols may have negative effects on sleep architecture and disturb the neurotransmitters that regulate sleep cycle,” they suggested, and since higher doses of nicotine produce greater reductions in sleep duration, “those who use e-cigarette on a daily basis might consume higher doses of nicotine, compared to some days, former, and never users, and therefore get fewer hours of sleep.”

Nicotine withdrawal, on the other hand, has been found to increase sleep duration in a dose-dependent manner, which “could explain the smaller [prevalence ratios] observed for the association between e-cigarette use and sleep deprivation among former and some days e-cigarette users,” Dr. Kianersi and associates added.

The bivariate analysis involved 18,945 survey respondents, of whom 16,427 were included in the fully adjusted model using 12 confounding factors.

rfranki@mdedge.com

SOURCE: Kianersi S et al. Addict Behav. 2020 Sep 6. doi: 10.1016/j.addbeh.2020.106646.

Current and former users of e-cigarettes are more likely to report sleep deprivation, compared with those who have never used e-cigarettes, according to the first study to evaluate the association in a large, nationally representative population of young adults.

“The e-cigarette use and sleep deprivation association seems to have a dose-response nature as the point estimate of the association increased with increased exposure to e-cigarette,” Sina Kianersi, DVM, and associates at Indiana University, Bloomington, said in Addictive Behaviors.

Sleep deprivation was 49% more prevalent among everyday users of e-cigarettes, compared with nonusers. Prevalence ratios for former users (1.31) and occasional users (1.25) also showed significantly higher sleep deprivation, compared with nonusers, they reported based on a bivariate analysis of data from young adults aged 18-24 years who participated in the 2017 and 2018 Behavioral Risk Factor Surveillance System surveys.

After adjustment for multiple confounders, young adults who currently used e-cigarettes every day were 42% more likely to report sleep deprivation than those who never used e-cigarettes, a difference that was statistically significant. The prevalence of sleep deprivation among those who used e-cigarettes on some days was not significantly higher (prevalence ratio, 1.08), but the ratio between former users and never users was a significant 1.17, the investigators said.

“The nicotine in the inhaled e-cigarette aerosols may have negative effects on sleep architecture and disturb the neurotransmitters that regulate sleep cycle,” they suggested, and since higher doses of nicotine produce greater reductions in sleep duration, “those who use e-cigarette on a daily basis might consume higher doses of nicotine, compared to some days, former, and never users, and therefore get fewer hours of sleep.”

Nicotine withdrawal, on the other hand, has been found to increase sleep duration in a dose-dependent manner, which “could explain the smaller [prevalence ratios] observed for the association between e-cigarette use and sleep deprivation among former and some days e-cigarette users,” Dr. Kianersi and associates added.

The bivariate analysis involved 18,945 survey respondents, of whom 16,427 were included in the fully adjusted model using 12 confounding factors.

rfranki@mdedge.com

SOURCE: Kianersi S et al. Addict Behav. 2020 Sep 6. doi: 10.1016/j.addbeh.2020.106646.

As approaches to airway management of patients with suspected or confirmed COVID-19 continue to evolve, practicing vigilant transmission-based infection control precautions remains essential.

This starts with observing droplet precautions to prevent exposure to droplets larger than 5 microns in size, Charles Griffis, PhD, CRNA, said at a Society for Critical Care Medicine virtual meeting: COVID-19: What’s Next. “These are particles exhaled from infected persons and which fall within around 6 feet and involve an exposure time of 15 or more minutes of contact,” said Dr. Griffis, of the department of anesthesiology at the University of Southern California, Los Angeles. “We will always observe standard precautions, which include hand hygiene, gloves, hair and eye cover, medical mask, and face shield. We will observe these at all times for all patients and layer our transmission-based precautions on top.”

During aerosol-producing procedures such as airway management maneuvers, tracheostomies, and bronchoscopies, very fine microscopic particles less than 5 microns in size are produced, which remain airborne for potentially many hours and travel long distances. “We will add an N95 mask or a powered air-purifying respirator (PAPR) device to filter out tiny particles in addition to our ever-present standard precautions,” he said. “Contact precautions are indicated for direct contact with patient saliva, blood, urine, and stool. In addition to standard precautions, we’re going to add an impermeable gown and we’ll continue with gloves, eye protection, and shoe covers. The message is to all of us. We have to observe all of the infection precautions that all of us have learned and trained in to avoid exposure.”

In terms of airway management for infected patients for elective procedures and surgery, recommendations based on current and previous coronavirus outbreaks suggest that all patients get polymerase chain reaction (PCR) tested within 24-48 hours of elective procedures or surgeries. If positive, they should be quarantined for 10-14 days and then, if asymptomatic, these patients may be retested or they can be regarded as negative. “Patients who are PCR positive with active infection and active symptoms receive only urgent or emergent care in most settings,” said Dr. Griffis, a member of the American Association of Nurse Anesthetists Infection Control Advisory Panel. “The care provided to our patients, whether they’re positive or not, is individualized per patient needs and institutional policy. Some folks have made the decision to treat all patients as infected and to use airborne precautions for all aerosol-producing procedures for all patients all the time.”

When a COVID-19 patient requires emergent or urgent airway management because of respiratory failure or some other surgical or procedural intervention necessitating airway management, preprocedural planning is key, he continued. This means establishing the steps in airway management scenarios for infected patients and rehearsing those steps in each ICU setting with key personnel such as nurses, respiratory therapists, and medical staff. “You want to make sure that the PPE is readily available and determine and limit the number of personnel that are going to enter the patient’s room or area for airway management,” Dr. Griffis said. “Have all the airway equipment and drugs immediately available. Perhaps you could organize them in a cart which is decontaminated after every use.”

He also recommends forming an intubation team for ICUs and perhaps even for ORs, where the most experienced clinicians perform airway management. “This helps to avoid unnecessary airway manipulation and minimizes personnel exposure and time to airway establishment,” he said.

Always attempt to house the infected patient in an airborne isolation, negative-pressure room, with a minimum of 12 exchanges per hour and which will take 35 minutes for 99.99% removal of airborne contaminants after airway management. “These numbers are important to remember for room turnover safety,” he said.

Patient factors to review during airway management include assessing the past medical history, inspecting the airway and considering the patient’s current physiological status as time permits. Previously in the pandemic, intubation was used earlier in the disease course, but now data suggest that patients do better without intubation if possible (Am J Trop Med Hyg. 2020;102[6]. doi: 10.4269/aitmh.20-0283). “This is because the pathophysiology of COVID-19 is such that the lung tissue is predisposed to iatrogenic barotrauma damage from positive-pressure ventilation,” Dr. Griffis said. “In addition, COVID patients appear to tolerate significant hypoxemia without distress in many cases. Therefore, many clinicians now hold off on intubation until the hypoxemic patient begins exhibiting signs and symptoms of respiratory distress.”

Options for delivering noninvasive airway support for COVID-19 patients include high-flow nasal cannula and noninvasive positive-pressure ventilation via CPAP or BiPAP. To mitigate the associated aerosol production, consider applying a surgical mask, helmet, or face mask over the airway device/patient’s face. “Another measure that has proven helpful in general respiratory support is to actually put the patient in a prone position to help redistribute ventilation throughout the lungs,” Dr. Griffis said (see Resp Care. 2015;60[11]:1660-87).

To prepare for the actual intubation procedure, gather two expert intubators who are going to be entering the patient’s room. The team should perform hand hygiene and don full PPE prior to entry. “It’s recommended that you consider wearing double gloves for the intubation,” he said. “Have the airway equipment easily accessible in a central location on a cart or in a kit, and use disposable, single-use equipment if possible. All of the usual intubation equipment to maintain a clear airway and give positive pressure ventilation should be arranged for easy access. A video laryngoscope should be used, if possible, for greater accuracy and reduced procedure time. Ready access to sedation and muscle relaxant drugs must be assured at all times.”

For the intubation procedure itself, Dr. Griffis recommends ensuring that an oxygen source, positive-pressure ventilation, and suction and resuscitation drugs and equipment are available per institutional protocol. Assign one person outside the room to coordinate supplies and assistance. “Preoxygenate the patient as permitted by clinical status,” he said. “A nonrebreathing oxygen mask can be used if sufficient spontaneous ventilation is present. Assess the airway, check and arrange equipment for easy access, and develop the safest airway management plan. Consider a rapid sequence induction and intubation as the first option.” Avoid positive-pressure ventilation or awake fiber optic intubation unless absolutely necessary, thus avoiding aerosol production. “Only ventilate the patient after the endotracheal tube cuff is inflated, to avoid aerosol release,” he said.

For intubation, administer airway procedural drugs and insert the laryngoscope – ideally a video laryngoscope if available. Intubate the trachea under direct vision, inflate the cuff, and remove outer gloves. Then attach the Ambu bag with a 99% filtration efficiency, heat-and-moisture exchange filter; and proceed to ventilate the patient, checking for chest rise, breath sounds, and CO₂ production. “Discard contaminated equipment in designated bins and secure the tube,” Dr. Griffis advised. “Attach the ventilator with an HMEF filter to protect the ventilator circuit and inner parts of the machine. Recheck your breath sounds, CO₂ production, and oxygen saturation, and adjust your vent settings as indicated.”

For post intubation, Dr. Griffis recommends securing contaminated discardable equipment in biohazard-labeled bins or bags, safely doffing your PPE, and retaining your N95 mask in the room. Remove your inner gloves, perform hand hygiene with soap and water if available, with alcohol-based hand rub if not, then don clean gloves. Exit the room, safely transporting any contaminated equipment that will be reused such as a cart or video laryngoscope to decontamination areas for processing. “Once clear of the room, order your chest x-ray to confirm your tube position per institutional protocol, understanding that radiology techs are all going to be following infection control procedures and wearing their PPE,” he said.

For extubation, Dr. Griffis recommends excusing all nonessential personnel from the patient room and assigning an assistant outside the room for necessary help. An experienced airway management expert should evaluate the patient wearing full PPE and be double-gloved. “If the extubation criteria are met, suction the pharynx and extubate,” he said. “Remove outer gloves and apply desired oxygen delivery equipment to the patient and assess respiratory status and vital signs for stability.” Next, discard all contaminated equipment in designated bins, doff contaminated PPE, and retain your N95 mask. Doff inner gloves, perform hand hygiene, and don clean gloves. “Exit the room, hand off contaminated equipment that is reusable, doff your gloves outside, do hand hygiene, then proceed to change your scrubs and complete your own personal hygiene measures,” he said.

Dr. Griffis reported having no financial disclosures.

“While the PPE used for intubation of a coronavirus patient is certainly more than the typical droplet precautions observed when intubating any other patient, the process and best practices aren’t terribly different from usual standard of care: Ensuring all necessary equipment is readily available with backup plans should the airway be difficult,” said Megan Conroy, MD, assistant professor of clinical medicine at The Ohio State University.

“We’ve been streamlining the team that’s present in the room for intubations of COVID patients, but I’m always amazed at the team members that stand at the ready to lend additional assistance just from the other side of the door. So while fewer personnel may be exposed, I wouldn’t consider the team needed for intubation to actually be much smaller, we’re just functioning differently.

In my practice the decision of when to intubate, clinically, doesn’t vary too much from any other form of severe ARDS. We may tolerate higher FiO₂ requirements on heated high-flow nasal cannula if the patient exhibits acceptable work of breathing, but I wouldn’t advise allowing a patient to remain hypoxemic with oxygen needs unmet by noninvasive methods out of fear of intubation or ventilator management. In my opinion, this simply delays a necessary therapy and only makes for a higher risk intubation. Certainly, the decision to intubate is never based on only one single data point, but takes an expert assessment of the whole clinical picture.

I’d assert that it’s true in every disease that patients do better if it’s possible to avoid intubation – but I would argue that the ability to avoid intubation is determined primarily by the disease course and clinical scenario, and not by whether the physician wishes to avoid intubation or not. If I can safely manage a patient off of a ventilator, I will always do so, COVID or otherwise. I think in this phase of the pandemic, patients ‘do better without intubation’ because those who didn’t require intubation were inherently doing better!”

dbrunk@mdedge.com

As approaches to airway management of patients with suspected or confirmed COVID-19 continue to evolve, practicing vigilant transmission-based infection control precautions remains essential.

This starts with observing droplet precautions to prevent exposure to droplets larger than 5 microns in size, Charles Griffis, PhD, CRNA, said at a Society for Critical Care Medicine virtual meeting: COVID-19: What’s Next. “These are particles exhaled from infected persons and which fall within around 6 feet and involve an exposure time of 15 or more minutes of contact,” said Dr. Griffis, of the department of anesthesiology at the University of Southern California, Los Angeles. “We will always observe standard precautions, which include hand hygiene, gloves, hair and eye cover, medical mask, and face shield. We will observe these at all times for all patients and layer our transmission-based precautions on top.”

During aerosol-producing procedures such as airway management maneuvers, tracheostomies, and bronchoscopies, very fine microscopic particles less than 5 microns in size are produced, which remain airborne for potentially many hours and travel long distances. “We will add an N95 mask or a powered air-purifying respirator (PAPR) device to filter out tiny particles in addition to our ever-present standard precautions,” he said. “Contact precautions are indicated for direct contact with patient saliva, blood, urine, and stool. In addition to standard precautions, we’re going to add an impermeable gown and we’ll continue with gloves, eye protection, and shoe covers. The message is to all of us. We have to observe all of the infection precautions that all of us have learned and trained in to avoid exposure.”

In terms of airway management for infected patients for elective procedures and surgery, recommendations based on current and previous coronavirus outbreaks suggest that all patients get polymerase chain reaction (PCR) tested within 24-48 hours of elective procedures or surgeries. If positive, they should be quarantined for 10-14 days and then, if asymptomatic, these patients may be retested or they can be regarded as negative. “Patients who are PCR positive with active infection and active symptoms receive only urgent or emergent care in most settings,” said Dr. Griffis, a member of the American Association of Nurse Anesthetists Infection Control Advisory Panel. “The care provided to our patients, whether they’re positive or not, is individualized per patient needs and institutional policy. Some folks have made the decision to treat all patients as infected and to use airborne precautions for all aerosol-producing procedures for all patients all the time.”

When a COVID-19 patient requires emergent or urgent airway management because of respiratory failure or some other surgical or procedural intervention necessitating airway management, preprocedural planning is key, he continued. This means establishing the steps in airway management scenarios for infected patients and rehearsing those steps in each ICU setting with key personnel such as nurses, respiratory therapists, and medical staff. “You want to make sure that the PPE is readily available and determine and limit the number of personnel that are going to enter the patient’s room or area for airway management,” Dr. Griffis said. “Have all the airway equipment and drugs immediately available. Perhaps you could organize them in a cart which is decontaminated after every use.”

He also recommends forming an intubation team for ICUs and perhaps even for ORs, where the most experienced clinicians perform airway management. “This helps to avoid unnecessary airway manipulation and minimizes personnel exposure and time to airway establishment,” he said.

Always attempt to house the infected patient in an airborne isolation, negative-pressure room, with a minimum of 12 exchanges per hour and which will take 35 minutes for 99.99% removal of airborne contaminants after airway management. “These numbers are important to remember for room turnover safety,” he said.

Patient factors to review during airway management include assessing the past medical history, inspecting the airway and considering the patient’s current physiological status as time permits. Previously in the pandemic, intubation was used earlier in the disease course, but now data suggest that patients do better without intubation if possible (Am J Trop Med Hyg. 2020;102[6]. doi: 10.4269/aitmh.20-0283). “This is because the pathophysiology of COVID-19 is such that the lung tissue is predisposed to iatrogenic barotrauma damage from positive-pressure ventilation,” Dr. Griffis said. “In addition, COVID patients appear to tolerate significant hypoxemia without distress in many cases. Therefore, many clinicians now hold off on intubation until the hypoxemic patient begins exhibiting signs and symptoms of respiratory distress.”

Options for delivering noninvasive airway support for COVID-19 patients include high-flow nasal cannula and noninvasive positive-pressure ventilation via CPAP or BiPAP. To mitigate the associated aerosol production, consider applying a surgical mask, helmet, or face mask over the airway device/patient’s face. “Another measure that has proven helpful in general respiratory support is to actually put the patient in a prone position to help redistribute ventilation throughout the lungs,” Dr. Griffis said (see Resp Care. 2015;60[11]:1660-87).

To prepare for the actual intubation procedure, gather two expert intubators who are going to be entering the patient’s room. The team should perform hand hygiene and don full PPE prior to entry. “It’s recommended that you consider wearing double gloves for the intubation,” he said. “Have the airway equipment easily accessible in a central location on a cart or in a kit, and use disposable, single-use equipment if possible. All of the usual intubation equipment to maintain a clear airway and give positive pressure ventilation should be arranged for easy access. A video laryngoscope should be used, if possible, for greater accuracy and reduced procedure time. Ready access to sedation and muscle relaxant drugs must be assured at all times.”

For the intubation procedure itself, Dr. Griffis recommends ensuring that an oxygen source, positive-pressure ventilation, and suction and resuscitation drugs and equipment are available per institutional protocol. Assign one person outside the room to coordinate supplies and assistance. “Preoxygenate the patient as permitted by clinical status,” he said. “A nonrebreathing oxygen mask can be used if sufficient spontaneous ventilation is present. Assess the airway, check and arrange equipment for easy access, and develop the safest airway management plan. Consider a rapid sequence induction and intubation as the first option.” Avoid positive-pressure ventilation or awake fiber optic intubation unless absolutely necessary, thus avoiding aerosol production. “Only ventilate the patient after the endotracheal tube cuff is inflated, to avoid aerosol release,” he said.

For intubation, administer airway procedural drugs and insert the laryngoscope – ideally a video laryngoscope if available. Intubate the trachea under direct vision, inflate the cuff, and remove outer gloves. Then attach the Ambu bag with a 99% filtration efficiency, heat-and-moisture exchange filter; and proceed to ventilate the patient, checking for chest rise, breath sounds, and CO₂ production. “Discard contaminated equipment in designated bins and secure the tube,” Dr. Griffis advised. “Attach the ventilator with an HMEF filter to protect the ventilator circuit and inner parts of the machine. Recheck your breath sounds, CO₂ production, and oxygen saturation, and adjust your vent settings as indicated.”

For post intubation, Dr. Griffis recommends securing contaminated discardable equipment in biohazard-labeled bins or bags, safely doffing your PPE, and retaining your N95 mask in the room. Remove your inner gloves, perform hand hygiene with soap and water if available, with alcohol-based hand rub if not, then don clean gloves. Exit the room, safely transporting any contaminated equipment that will be reused such as a cart or video laryngoscope to decontamination areas for processing. “Once clear of the room, order your chest x-ray to confirm your tube position per institutional protocol, understanding that radiology techs are all going to be following infection control procedures and wearing their PPE,” he said.

For extubation, Dr. Griffis recommends excusing all nonessential personnel from the patient room and assigning an assistant outside the room for necessary help. An experienced airway management expert should evaluate the patient wearing full PPE and be double-gloved. “If the extubation criteria are met, suction the pharynx and extubate,” he said. “Remove outer gloves and apply desired oxygen delivery equipment to the patient and assess respiratory status and vital signs for stability.” Next, discard all contaminated equipment in designated bins, doff contaminated PPE, and retain your N95 mask. Doff inner gloves, perform hand hygiene, and don clean gloves. “Exit the room, hand off contaminated equipment that is reusable, doff your gloves outside, do hand hygiene, then proceed to change your scrubs and complete your own personal hygiene measures,” he said.

Dr. Griffis reported having no financial disclosures.

“While the PPE used for intubation of a coronavirus patient is certainly more than the typical droplet precautions observed when intubating any other patient, the process and best practices aren’t terribly different from usual standard of care: Ensuring all necessary equipment is readily available with backup plans should the airway be difficult,” said Megan Conroy, MD, assistant professor of clinical medicine at The Ohio State University.

“We’ve been streamlining the team that’s present in the room for intubations of COVID patients, but I’m always amazed at the team members that stand at the ready to lend additional assistance just from the other side of the door. So while fewer personnel may be exposed, I wouldn’t consider the team needed for intubation to actually be much smaller, we’re just functioning differently.

In my practice the decision of when to intubate, clinically, doesn’t vary too much from any other form of severe ARDS. We may tolerate higher FiO₂ requirements on heated high-flow nasal cannula if the patient exhibits acceptable work of breathing, but I wouldn’t advise allowing a patient to remain hypoxemic with oxygen needs unmet by noninvasive methods out of fear of intubation or ventilator management. In my opinion, this simply delays a necessary therapy and only makes for a higher risk intubation. Certainly, the decision to intubate is never based on only one single data point, but takes an expert assessment of the whole clinical picture.

I’d assert that it’s true in every disease that patients do better if it’s possible to avoid intubation – but I would argue that the ability to avoid intubation is determined primarily by the disease course and clinical scenario, and not by whether the physician wishes to avoid intubation or not. If I can safely manage a patient off of a ventilator, I will always do so, COVID or otherwise. I think in this phase of the pandemic, patients ‘do better without intubation’ because those who didn’t require intubation were inherently doing better!”

dbrunk@mdedge.com

As approaches to airway management of patients with suspected or confirmed COVID-19 continue to evolve, practicing vigilant transmission-based infection control precautions remains essential.

This starts with observing droplet precautions to prevent exposure to droplets larger than 5 microns in size, Charles Griffis, PhD, CRNA, said at a Society for Critical Care Medicine virtual meeting: COVID-19: What’s Next. “These are particles exhaled from infected persons and which fall within around 6 feet and involve an exposure time of 15 or more minutes of contact,” said Dr. Griffis, of the department of anesthesiology at the University of Southern California, Los Angeles. “We will always observe standard precautions, which include hand hygiene, gloves, hair and eye cover, medical mask, and face shield. We will observe these at all times for all patients and layer our transmission-based precautions on top.”

During aerosol-producing procedures such as airway management maneuvers, tracheostomies, and bronchoscopies, very fine microscopic particles less than 5 microns in size are produced, which remain airborne for potentially many hours and travel long distances. “We will add an N95 mask or a powered air-purifying respirator (PAPR) device to filter out tiny particles in addition to our ever-present standard precautions,” he said. “Contact precautions are indicated for direct contact with patient saliva, blood, urine, and stool. In addition to standard precautions, we’re going to add an impermeable gown and we’ll continue with gloves, eye protection, and shoe covers. The message is to all of us. We have to observe all of the infection precautions that all of us have learned and trained in to avoid exposure.”

In terms of airway management for infected patients for elective procedures and surgery, recommendations based on current and previous coronavirus outbreaks suggest that all patients get polymerase chain reaction (PCR) tested within 24-48 hours of elective procedures or surgeries. If positive, they should be quarantined for 10-14 days and then, if asymptomatic, these patients may be retested or they can be regarded as negative. “Patients who are PCR positive with active infection and active symptoms receive only urgent or emergent care in most settings,” said Dr. Griffis, a member of the American Association of Nurse Anesthetists Infection Control Advisory Panel. “The care provided to our patients, whether they’re positive or not, is individualized per patient needs and institutional policy. Some folks have made the decision to treat all patients as infected and to use airborne precautions for all aerosol-producing procedures for all patients all the time.”

When a COVID-19 patient requires emergent or urgent airway management because of respiratory failure or some other surgical or procedural intervention necessitating airway management, preprocedural planning is key, he continued. This means establishing the steps in airway management scenarios for infected patients and rehearsing those steps in each ICU setting with key personnel such as nurses, respiratory therapists, and medical staff. “You want to make sure that the PPE is readily available and determine and limit the number of personnel that are going to enter the patient’s room or area for airway management,” Dr. Griffis said. “Have all the airway equipment and drugs immediately available. Perhaps you could organize them in a cart which is decontaminated after every use.”

He also recommends forming an intubation team for ICUs and perhaps even for ORs, where the most experienced clinicians perform airway management. “This helps to avoid unnecessary airway manipulation and minimizes personnel exposure and time to airway establishment,” he said.

Always attempt to house the infected patient in an airborne isolation, negative-pressure room, with a minimum of 12 exchanges per hour and which will take 35 minutes for 99.99% removal of airborne contaminants after airway management. “These numbers are important to remember for room turnover safety,” he said.

Patient factors to review during airway management include assessing the past medical history, inspecting the airway and considering the patient’s current physiological status as time permits. Previously in the pandemic, intubation was used earlier in the disease course, but now data suggest that patients do better without intubation if possible (Am J Trop Med Hyg. 2020;102[6]. doi: 10.4269/aitmh.20-0283). “This is because the pathophysiology of COVID-19 is such that the lung tissue is predisposed to iatrogenic barotrauma damage from positive-pressure ventilation,” Dr. Griffis said. “In addition, COVID patients appear to tolerate significant hypoxemia without distress in many cases. Therefore, many clinicians now hold off on intubation until the hypoxemic patient begins exhibiting signs and symptoms of respiratory distress.”

Options for delivering noninvasive airway support for COVID-19 patients include high-flow nasal cannula and noninvasive positive-pressure ventilation via CPAP or BiPAP. To mitigate the associated aerosol production, consider applying a surgical mask, helmet, or face mask over the airway device/patient’s face. “Another measure that has proven helpful in general respiratory support is to actually put the patient in a prone position to help redistribute ventilation throughout the lungs,” Dr. Griffis said (see Resp Care. 2015;60[11]:1660-87).

To prepare for the actual intubation procedure, gather two expert intubators who are going to be entering the patient’s room. The team should perform hand hygiene and don full PPE prior to entry. “It’s recommended that you consider wearing double gloves for the intubation,” he said. “Have the airway equipment easily accessible in a central location on a cart or in a kit, and use disposable, single-use equipment if possible. All of the usual intubation equipment to maintain a clear airway and give positive pressure ventilation should be arranged for easy access. A video laryngoscope should be used, if possible, for greater accuracy and reduced procedure time. Ready access to sedation and muscle relaxant drugs must be assured at all times.”

For the intubation procedure itself, Dr. Griffis recommends ensuring that an oxygen source, positive-pressure ventilation, and suction and resuscitation drugs and equipment are available per institutional protocol. Assign one person outside the room to coordinate supplies and assistance. “Preoxygenate the patient as permitted by clinical status,” he said. “A nonrebreathing oxygen mask can be used if sufficient spontaneous ventilation is present. Assess the airway, check and arrange equipment for easy access, and develop the safest airway management plan. Consider a rapid sequence induction and intubation as the first option.” Avoid positive-pressure ventilation or awake fiber optic intubation unless absolutely necessary, thus avoiding aerosol production. “Only ventilate the patient after the endotracheal tube cuff is inflated, to avoid aerosol release,” he said.

For intubation, administer airway procedural drugs and insert the laryngoscope – ideally a video laryngoscope if available. Intubate the trachea under direct vision, inflate the cuff, and remove outer gloves. Then attach the Ambu bag with a 99% filtration efficiency, heat-and-moisture exchange filter; and proceed to ventilate the patient, checking for chest rise, breath sounds, and CO₂ production. “Discard contaminated equipment in designated bins and secure the tube,” Dr. Griffis advised. “Attach the ventilator with an HMEF filter to protect the ventilator circuit and inner parts of the machine. Recheck your breath sounds, CO₂ production, and oxygen saturation, and adjust your vent settings as indicated.”

For post intubation, Dr. Griffis recommends securing contaminated discardable equipment in biohazard-labeled bins or bags, safely doffing your PPE, and retaining your N95 mask in the room. Remove your inner gloves, perform hand hygiene with soap and water if available, with alcohol-based hand rub if not, then don clean gloves. Exit the room, safely transporting any contaminated equipment that will be reused such as a cart or video laryngoscope to decontamination areas for processing. “Once clear of the room, order your chest x-ray to confirm your tube position per institutional protocol, understanding that radiology techs are all going to be following infection control procedures and wearing their PPE,” he said.

For extubation, Dr. Griffis recommends excusing all nonessential personnel from the patient room and assigning an assistant outside the room for necessary help. An experienced airway management expert should evaluate the patient wearing full PPE and be double-gloved. “If the extubation criteria are met, suction the pharynx and extubate,” he said. “Remove outer gloves and apply desired oxygen delivery equipment to the patient and assess respiratory status and vital signs for stability.” Next, discard all contaminated equipment in designated bins, doff contaminated PPE, and retain your N95 mask. Doff inner gloves, perform hand hygiene, and don clean gloves. “Exit the room, hand off contaminated equipment that is reusable, doff your gloves outside, do hand hygiene, then proceed to change your scrubs and complete your own personal hygiene measures,” he said.

Dr. Griffis reported having no financial disclosures.

“While the PPE used for intubation of a coronavirus patient is certainly more than the typical droplet precautions observed when intubating any other patient, the process and best practices aren’t terribly different from usual standard of care: Ensuring all necessary equipment is readily available with backup plans should the airway be difficult,” said Megan Conroy, MD, assistant professor of clinical medicine at The Ohio State University.

“We’ve been streamlining the team that’s present in the room for intubations of COVID patients, but I’m always amazed at the team members that stand at the ready to lend additional assistance just from the other side of the door. So while fewer personnel may be exposed, I wouldn’t consider the team needed for intubation to actually be much smaller, we’re just functioning differently.

In my practice the decision of when to intubate, clinically, doesn’t vary too much from any other form of severe ARDS. We may tolerate higher FiO₂ requirements on heated high-flow nasal cannula if the patient exhibits acceptable work of breathing, but I wouldn’t advise allowing a patient to remain hypoxemic with oxygen needs unmet by noninvasive methods out of fear of intubation or ventilator management. In my opinion, this simply delays a necessary therapy and only makes for a higher risk intubation. Certainly, the decision to intubate is never based on only one single data point, but takes an expert assessment of the whole clinical picture.

I’d assert that it’s true in every disease that patients do better if it’s possible to avoid intubation – but I would argue that the ability to avoid intubation is determined primarily by the disease course and clinical scenario, and not by whether the physician wishes to avoid intubation or not. If I can safely manage a patient off of a ventilator, I will always do so, COVID or otherwise. I think in this phase of the pandemic, patients ‘do better without intubation’ because those who didn’t require intubation were inherently doing better!”

dbrunk@mdedge.com

Below is a case involving a patient who is not yet ready to quit smoking. We later provide treatment recommendations for this patient based on a new guideline from the American Thoracic Society.

Case

A 58-year-old female comes into the office for a physical exam. She has been smoking two packs a day since she was 23 years of age. You have tried at previous visits to get her to quit, but she hasn’t been interested. The patient says she has a lot of stress, and that it is still not the right time for her to stop smoking. You tell her she needs to quit and, though the patient understands that quitting would be beneficial for her health, she just isn’t ready to try to kick the habit. How do you proceed?

The Guideline in context

Even though this patient stated that she is not ready to stop smoking, she is still a candidate for pharmacological treatment for her tobacco dependence and can be offered varenicline, according to the ATS guideline.¹

It is imperative that tobacco cessation is addressed with patients in the most effective and comprehensive ways possible. In a previously published column, we have discussed the ATS’ recommended approaches for treating patients who are ready to stop smoking cigarettes. The reality is that many patients, if not most, are not ready to quit when we speak to them during any given office visit. The ATS guideline addresses this critical issue by recommending treatment with varenicline in patients who are not ready to stop smoking. It also states that this is a better strategy than waiting to start treatment until patients say they are ready for it.

This recommendation – to prescribe varenicline to smokers even when they are not ready to quit smoking – is based on solid clinical trial evidence. Research has shown that behavior change is dynamic and that the decision to stop smoking is not always a planned one.¹ Patients often make quit attempts between office visits, and are often successful in those attempts. Because the decision to try to stop smoking is influenced by the satisfaction and physical addiction that comes from smoking, a medication such as varenicline that is a partial agonist/antagonist at the alpha4-beta2 nicotinic receptor might increase the likelihood that a patient would decide to try to stop smoking. This is because taking this type of a drug would lead the patient to no longer experience the reinforcing effects of nicotine.² This hypothesis was examined in five randomized trials.¹

In these studies, regular smokers who were not ready to make a quit attempt were randomized to varenicline versus placebo. Twice as many individuals who took varenicline stopped smoking 6 months after starting treatment.¹

Suggested treatment

This patient should be offered varenicline. This individual meets the criteria for this treatment according to the ATS guideline in that the patient is a regular smoker who doesn’t think she is ready to stop smoking but understands she needs to stop and is open to taking medication to assist her with quitting.

Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington (Pa.) Hospital–Jefferson Health. Dr. Sprogell is a third-year resident in the family medicine residency program at Abington Jefferson Health. They have no conflicts related to the content of this piece. For questions or comments, feel free to contact Dr. Skolnik on Twitter @NeilSkolnik.

References

1. Leone F T et al. Initiating pharmacologic treatment in tobacco-dependent adults: An official American Thoracic Society Clinical Practice Guideline. Am J Respir Crit Care Med. 2020 Jul 15;202(2):e5–e31.

2. Ebbert JO et al. Varenicline for smoking cessation: Efficacy, safety, and treatment recommendations. Patient Prefer Adherence. 2010;4:355-62.
 

Below is a case involving a patient who is not yet ready to quit smoking. We later provide treatment recommendations for this patient based on a new guideline from the American Thoracic Society.

Case

A 58-year-old female comes into the office for a physical exam. She has been smoking two packs a day since she was 23 years of age. You have tried at previous visits to get her to quit, but she hasn’t been interested. The patient says she has a lot of stress, and that it is still not the right time for her to stop smoking. You tell her she needs to quit and, though the patient understands that quitting would be beneficial for her health, she just isn’t ready to try to kick the habit. How do you proceed?

The Guideline in context

Even though this patient stated that she is not ready to stop smoking, she is still a candidate for pharmacological treatment for her tobacco dependence and can be offered varenicline, according to the ATS guideline.¹

It is imperative that tobacco cessation is addressed with patients in the most effective and comprehensive ways possible. In a previously published column, we have discussed the ATS’ recommended approaches for treating patients who are ready to stop smoking cigarettes. The reality is that many patients, if not most, are not ready to quit when we speak to them during any given office visit. The ATS guideline addresses this critical issue by recommending treatment with varenicline in patients who are not ready to stop smoking. It also states that this is a better strategy than waiting to start treatment until patients say they are ready for it.

This recommendation – to prescribe varenicline to smokers even when they are not ready to quit smoking – is based on solid clinical trial evidence. Research has shown that behavior change is dynamic and that the decision to stop smoking is not always a planned one.¹ Patients often make quit attempts between office visits, and are often successful in those attempts. Because the decision to try to stop smoking is influenced by the satisfaction and physical addiction that comes from smoking, a medication such as varenicline that is a partial agonist/antagonist at the alpha4-beta2 nicotinic receptor might increase the likelihood that a patient would decide to try to stop smoking. This is because taking this type of a drug would lead the patient to no longer experience the reinforcing effects of nicotine.² This hypothesis was examined in five randomized trials.¹

In these studies, regular smokers who were not ready to make a quit attempt were randomized to varenicline versus placebo. Twice as many individuals who took varenicline stopped smoking 6 months after starting treatment.¹

Suggested treatment

This patient should be offered varenicline. This individual meets the criteria for this treatment according to the ATS guideline in that the patient is a regular smoker who doesn’t think she is ready to stop smoking but understands she needs to stop and is open to taking medication to assist her with quitting.

Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington (Pa.) Hospital–Jefferson Health. Dr. Sprogell is a third-year resident in the family medicine residency program at Abington Jefferson Health. They have no conflicts related to the content of this piece. For questions or comments, feel free to contact Dr. Skolnik on Twitter @NeilSkolnik.

References

1. Leone F T et al. Initiating pharmacologic treatment in tobacco-dependent adults: An official American Thoracic Society Clinical Practice Guideline. Am J Respir Crit Care Med. 2020 Jul 15;202(2):e5–e31.

2. Ebbert JO et al. Varenicline for smoking cessation: Efficacy, safety, and treatment recommendations. Patient Prefer Adherence. 2010;4:355-62.
 

Below is a case involving a patient who is not yet ready to quit smoking. We later provide treatment recommendations for this patient based on a new guideline from the American Thoracic Society.

Case

A 58-year-old female comes into the office for a physical exam. She has been smoking two packs a day since she was 23 years of age. You have tried at previous visits to get her to quit, but she hasn’t been interested. The patient says she has a lot of stress, and that it is still not the right time for her to stop smoking. You tell her she needs to quit and, though the patient understands that quitting would be beneficial for her health, she just isn’t ready to try to kick the habit. How do you proceed?

The Guideline in context

Even though this patient stated that she is not ready to stop smoking, she is still a candidate for pharmacological treatment for her tobacco dependence and can be offered varenicline, according to the ATS guideline.¹

It is imperative that tobacco cessation is addressed with patients in the most effective and comprehensive ways possible. In a previously published column, we have discussed the ATS’ recommended approaches for treating patients who are ready to stop smoking cigarettes. The reality is that many patients, if not most, are not ready to quit when we speak to them during any given office visit. The ATS guideline addresses this critical issue by recommending treatment with varenicline in patients who are not ready to stop smoking. It also states that this is a better strategy than waiting to start treatment until patients say they are ready for it.

This recommendation – to prescribe varenicline to smokers even when they are not ready to quit smoking – is based on solid clinical trial evidence. Research has shown that behavior change is dynamic and that the decision to stop smoking is not always a planned one.¹ Patients often make quit attempts between office visits, and are often successful in those attempts. Because the decision to try to stop smoking is influenced by the satisfaction and physical addiction that comes from smoking, a medication such as varenicline that is a partial agonist/antagonist at the alpha4-beta2 nicotinic receptor might increase the likelihood that a patient would decide to try to stop smoking. This is because taking this type of a drug would lead the patient to no longer experience the reinforcing effects of nicotine.² This hypothesis was examined in five randomized trials.¹

In these studies, regular smokers who were not ready to make a quit attempt were randomized to varenicline versus placebo. Twice as many individuals who took varenicline stopped smoking 6 months after starting treatment.¹

Suggested treatment

This patient should be offered varenicline. This individual meets the criteria for this treatment according to the ATS guideline in that the patient is a regular smoker who doesn’t think she is ready to stop smoking but understands she needs to stop and is open to taking medication to assist her with quitting.

Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington (Pa.) Hospital–Jefferson Health. Dr. Sprogell is a third-year resident in the family medicine residency program at Abington Jefferson Health. They have no conflicts related to the content of this piece. For questions or comments, feel free to contact Dr. Skolnik on Twitter @NeilSkolnik.

References

1. Leone F T et al. Initiating pharmacologic treatment in tobacco-dependent adults: An official American Thoracic Society Clinical Practice Guideline. Am J Respir Crit Care Med. 2020 Jul 15;202(2):e5–e31.

2. Ebbert JO et al. Varenicline for smoking cessation: Efficacy, safety, and treatment recommendations. Patient Prefer Adherence. 2010;4:355-62.
 

Hurricane Sally recently crossed the Gulf of Mexico and landed with torrential rainfalls along the Alabama coast. A little rainfall is important for crops; too much leads to devastation. As physicians, we need data in order to help manage patients’ illnesses and to help to keep them healthy. Our fear though is that too much data provided too quickly may have the opposite effect.

Personal monitoring devices

When I bought my first Fitbit 7 years ago, I was enamored with the technology. The Fitbit was little more than a step tracker, yet I proudly wore its black rubber strap on my wrist. It was my first foray into wearable technology, and it felt quite empowering to have an objective way to track my fitness beyond just using my bathroom scale. Now less than a decade later, that Fitbit looks archaic in comparison with the wrist-top technology currently available.

As I write this, the world’s largest technology company is in the process of releasing its sixth-generation Apple Watch. In addition to acting as a smartphone, this new device, which is barely larger than a postage stamp, offers GPS-based movement tracking, the ability to detect falls, continuous heart rate monitoring, a built-in EKG capable of diagnosing atrial fibrillation, and an oxygen saturation sensor. These features weren’t added thoughtlessly. Apple is marketing this as a health-focused device, with their primary advertising campaign claiming that “the future of health is on your wrist,” and they aren’t the only company making this play.

Along with Apple, Samsung, Withings, Fitbit, and other companies continue to bring products to market that monitor our activity and provide new insights into our health. Typically linked to smartphone-based apps, these devices record all of their measurements for later review, while software helps interpret the findings to make them actionable. From heart rate tracking to sleep analysis, these options now provide access to volumes of data that promise to improve our wellness and change our lives. Of course, those promises will only be fulfilled if our behavior is altered as a consequence of having more detailed information. Whether that will happen remains to be seen.
 

Health system–linked devices

Major advancements in medical monitoring technology are now enabling physicians to get much deeper insight into their patients’ health status. Internet-connected scales, blood pressure cuffs, and exercise equipment offer the ability to upload information into patient portals and integrate that information into EHRs. New devices provide access to information that previously was impossible to obtain. For example, wearable continuous blood glucose monitors, such as the FreeStyle Libre or DexCom’s G6, allow patients and physicians to follow blood sugar readings 24 hours a day. This provides unprecedented awareness of diabetes control and relieves the pain and inconvenience of finger sticks and blood draws. It also aids with compliance because patients don’t need to remember to check their sugar levels on a schedule.

Other compliance-boosting breakthroughs, such as Bluetooth-enabled asthma inhalers and cellular-connected continuous positive airway pressure machines, assist patients with managing chronic respiratory conditions. Many companies are developing technologies to manage acute conditions as well. One such company, an on-demand telemedicine provider called TytoCare, has developed a $299 suite of instruments that includes a digital stethoscope, thermometer, and camera-based otoscope. In concert with a virtual visit, their providers can remotely use these tools to examine and assess sick individuals. This virtual “laying on of hands” may have sounded like science fiction and likely would have been rejected by patients just a few years ago. Now it is becoming commonplace and will soon be an expectation of many seeking care.

We as clinicians need to learn how best to adapt to the new world and integrate these new sources of health data into our practices. But if we are to be successful, everyone must acknowledge that this revolution in health care brings many challenges along with it. One of those is the deluge of data that connected devices provide.
 

Information overload

There is such a thing as “too much of a good thing.” Described by journalist David Shenk as “data smog” in his 1997 book of the same name, the idea is clear: There is only so much information we can assimilate.

Even after years of using EHRs and with government-implemented incentives that promote “meaningful use,” physicians are still struggling with EHRs. Additionally, many have expressed frustration with the connectedness that EHRs provide and lament their inability to ever really “leave the office.” As more and more data become available to physicians, the challenge of how to assimilate and act on those data will continue to grow. The addition of patient-provided health statistics will only make information overload worse, with clinicians will feeling an ever-growing burden to know, understand, and act on this information.

Unless we develop systems to sort, filter, and prioritize the flow of information, there is potential for liability from not acting on the amount of virtual information doctors receive. This new risk for already fatigued and overburdened physicians combined with an increase in the amount of virtual information at doctors’ fingertips may lead to the value of patient data being lost.
 

Dr. Notte is a family physician and chief medical officer of Abington (Pa.) Hospital–Jefferson Health. Follow him on Twitter (@doctornotte). Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington Hospital–Jefferson Health. They have no conflicts related to the content of this piece.

Hurricane Sally recently crossed the Gulf of Mexico and landed with torrential rainfalls along the Alabama coast. A little rainfall is important for crops; too much leads to devastation. As physicians, we need data in order to help manage patients’ illnesses and to help to keep them healthy. Our fear though is that too much data provided too quickly may have the opposite effect.

Personal monitoring devices

When I bought my first Fitbit 7 years ago, I was enamored with the technology. The Fitbit was little more than a step tracker, yet I proudly wore its black rubber strap on my wrist. It was my first foray into wearable technology, and it felt quite empowering to have an objective way to track my fitness beyond just using my bathroom scale. Now less than a decade later, that Fitbit looks archaic in comparison with the wrist-top technology currently available.

As I write this, the world’s largest technology company is in the process of releasing its sixth-generation Apple Watch. In addition to acting as a smartphone, this new device, which is barely larger than a postage stamp, offers GPS-based movement tracking, the ability to detect falls, continuous heart rate monitoring, a built-in EKG capable of diagnosing atrial fibrillation, and an oxygen saturation sensor. These features weren’t added thoughtlessly. Apple is marketing this as a health-focused device, with their primary advertising campaign claiming that “the future of health is on your wrist,” and they aren’t the only company making this play.

Along with Apple, Samsung, Withings, Fitbit, and other companies continue to bring products to market that monitor our activity and provide new insights into our health. Typically linked to smartphone-based apps, these devices record all of their measurements for later review, while software helps interpret the findings to make them actionable. From heart rate tracking to sleep analysis, these options now provide access to volumes of data that promise to improve our wellness and change our lives. Of course, those promises will only be fulfilled if our behavior is altered as a consequence of having more detailed information. Whether that will happen remains to be seen.
 

Health system–linked devices

Major advancements in medical monitoring technology are now enabling physicians to get much deeper insight into their patients’ health status. Internet-connected scales, blood pressure cuffs, and exercise equipment offer the ability to upload information into patient portals and integrate that information into EHRs. New devices provide access to information that previously was impossible to obtain. For example, wearable continuous blood glucose monitors, such as the FreeStyle Libre or DexCom’s G6, allow patients and physicians to follow blood sugar readings 24 hours a day. This provides unprecedented awareness of diabetes control and relieves the pain and inconvenience of finger sticks and blood draws. It also aids with compliance because patients don’t need to remember to check their sugar levels on a schedule.

Other compliance-boosting breakthroughs, such as Bluetooth-enabled asthma inhalers and cellular-connected continuous positive airway pressure machines, assist patients with managing chronic respiratory conditions. Many companies are developing technologies to manage acute conditions as well. One such company, an on-demand telemedicine provider called TytoCare, has developed a $299 suite of instruments that includes a digital stethoscope, thermometer, and camera-based otoscope. In concert with a virtual visit, their providers can remotely use these tools to examine and assess sick individuals. This virtual “laying on of hands” may have sounded like science fiction and likely would have been rejected by patients just a few years ago. Now it is becoming commonplace and will soon be an expectation of many seeking care.

We as clinicians need to learn how best to adapt to the new world and integrate these new sources of health data into our practices. But if we are to be successful, everyone must acknowledge that this revolution in health care brings many challenges along with it. One of those is the deluge of data that connected devices provide.
 

Information overload

There is such a thing as “too much of a good thing.” Described by journalist David Shenk as “data smog” in his 1997 book of the same name, the idea is clear: There is only so much information we can assimilate.

Even after years of using EHRs and with government-implemented incentives that promote “meaningful use,” physicians are still struggling with EHRs. Additionally, many have expressed frustration with the connectedness that EHRs provide and lament their inability to ever really “leave the office.” As more and more data become available to physicians, the challenge of how to assimilate and act on those data will continue to grow. The addition of patient-provided health statistics will only make information overload worse, with clinicians will feeling an ever-growing burden to know, understand, and act on this information.

Unless we develop systems to sort, filter, and prioritize the flow of information, there is potential for liability from not acting on the amount of virtual information doctors receive. This new risk for already fatigued and overburdened physicians combined with an increase in the amount of virtual information at doctors’ fingertips may lead to the value of patient data being lost.
 

Dr. Notte is a family physician and chief medical officer of Abington (Pa.) Hospital–Jefferson Health. Follow him on Twitter (@doctornotte). Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington Hospital–Jefferson Health. They have no conflicts related to the content of this piece.

Hurricane Sally recently crossed the Gulf of Mexico and landed with torrential rainfalls along the Alabama coast. A little rainfall is important for crops; too much leads to devastation. As physicians, we need data in order to help manage patients’ illnesses and to help to keep them healthy. Our fear though is that too much data provided too quickly may have the opposite effect.

Personal monitoring devices

When I bought my first Fitbit 7 years ago, I was enamored with the technology. The Fitbit was little more than a step tracker, yet I proudly wore its black rubber strap on my wrist. It was my first foray into wearable technology, and it felt quite empowering to have an objective way to track my fitness beyond just using my bathroom scale. Now less than a decade later, that Fitbit looks archaic in comparison with the wrist-top technology currently available.

As I write this, the world’s largest technology company is in the process of releasing its sixth-generation Apple Watch. In addition to acting as a smartphone, this new device, which is barely larger than a postage stamp, offers GPS-based movement tracking, the ability to detect falls, continuous heart rate monitoring, a built-in EKG capable of diagnosing atrial fibrillation, and an oxygen saturation sensor. These features weren’t added thoughtlessly. Apple is marketing this as a health-focused device, with their primary advertising campaign claiming that “the future of health is on your wrist,” and they aren’t the only company making this play.

Along with Apple, Samsung, Withings, Fitbit, and other companies continue to bring products to market that monitor our activity and provide new insights into our health. Typically linked to smartphone-based apps, these devices record all of their measurements for later review, while software helps interpret the findings to make them actionable. From heart rate tracking to sleep analysis, these options now provide access to volumes of data that promise to improve our wellness and change our lives. Of course, those promises will only be fulfilled if our behavior is altered as a consequence of having more detailed information. Whether that will happen remains to be seen.
 

Health system–linked devices

Major advancements in medical monitoring technology are now enabling physicians to get much deeper insight into their patients’ health status. Internet-connected scales, blood pressure cuffs, and exercise equipment offer the ability to upload information into patient portals and integrate that information into EHRs. New devices provide access to information that previously was impossible to obtain. For example, wearable continuous blood glucose monitors, such as the FreeStyle Libre or DexCom’s G6, allow patients and physicians to follow blood sugar readings 24 hours a day. This provides unprecedented awareness of diabetes control and relieves the pain and inconvenience of finger sticks and blood draws. It also aids with compliance because patients don’t need to remember to check their sugar levels on a schedule.

Other compliance-boosting breakthroughs, such as Bluetooth-enabled asthma inhalers and cellular-connected continuous positive airway pressure machines, assist patients with managing chronic respiratory conditions. Many companies are developing technologies to manage acute conditions as well. One such company, an on-demand telemedicine provider called TytoCare, has developed a $299 suite of instruments that includes a digital stethoscope, thermometer, and camera-based otoscope. In concert with a virtual visit, their providers can remotely use these tools to examine and assess sick individuals. This virtual “laying on of hands” may have sounded like science fiction and likely would have been rejected by patients just a few years ago. Now it is becoming commonplace and will soon be an expectation of many seeking care.

We as clinicians need to learn how best to adapt to the new world and integrate these new sources of health data into our practices. But if we are to be successful, everyone must acknowledge that this revolution in health care brings many challenges along with it. One of those is the deluge of data that connected devices provide.
 

Information overload

There is such a thing as “too much of a good thing.” Described by journalist David Shenk as “data smog” in his 1997 book of the same name, the idea is clear: There is only so much information we can assimilate.

Even after years of using EHRs and with government-implemented incentives that promote “meaningful use,” physicians are still struggling with EHRs. Additionally, many have expressed frustration with the connectedness that EHRs provide and lament their inability to ever really “leave the office.” As more and more data become available to physicians, the challenge of how to assimilate and act on those data will continue to grow. The addition of patient-provided health statistics will only make information overload worse, with clinicians will feeling an ever-growing burden to know, understand, and act on this information.

Unless we develop systems to sort, filter, and prioritize the flow of information, there is potential for liability from not acting on the amount of virtual information doctors receive. This new risk for already fatigued and overburdened physicians combined with an increase in the amount of virtual information at doctors’ fingertips may lead to the value of patient data being lost.
 

Dr. Notte is a family physician and chief medical officer of Abington (Pa.) Hospital–Jefferson Health. Follow him on Twitter (@doctornotte). Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington Hospital–Jefferson Health. They have no conflicts related to the content of this piece.