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Molecule accelerates recovery after BMT
Photo by Chad McNeeley
A small molecule may be able to accelerate cell recovery in bone marrow transplant (BMT) recipients and patients with liver or colon disease, researchers believe.
The molecule, SW033291, inhibits 15-PGDH, a prostaglandin-degrading enzyme that regulates tissue regeneration in multiple organs.
SW033291 accelerated hematopoietic recovery in mice that received BMTs and promoted tissue regeneration in mice with liver or colon injuries.
“We propose that SW033291 will be useful in accelerating recovery of bone marrow cells following a bone marrow transplant and may also be a treatment for colitis,” said James Willson, MD, of the University of Texas Southwestern Medical Center in Dallas.
He and his colleagues described their work with SW033291 in Science.
To examine the effects of inhibiting 15-PGDH on the bone marrow, the researchers conducted experiments with 15-PGDH-knockout mice and SW033291-treated mice, comparing them to control mice.
The team saw a 43% increase in neutrophil counts and a 39% increase in bone marrow Sca-1+ C-kit+ Lin– (SKL) cells in 15-PGDH knockout compared to wild-type mice. There were no significant differences in counts of other peripheral blood cells, bone marrow cellularity, or counts of bone marrow Sca-1+ C-kit+ Lin– CD48– CD150+ (SLAM) cells.
SW033291-treated mice had double the peripheral neutrophil counts of controls, a 65% increase in marrow SKL cells, and a 71% increase in marrow SLAM cells.
Results of additional experiments indicated that SW033291 works by increasing PGE2 levels in the bone marrow, and PGE2 functions through the EP2 and EP4 receptors to induce expression of CXCL12 and SCF.
The researchers also tested whether SW033291 could increase the bone marrow’s ability to attract and support new hematopoietic stem cells after BMT in mice. They found that BMT recipients treated with SW033291 had a 2- to 3-fold increase in the number of donor cells that homed to their bone marrow, compared to vehicle-treated BMT recipients.
The researchers said this SW033291-induced homing of transplanted bone marrow cells was driven, at least in part, by the induction of CXCL12 expression in CD45– nonmyeloid cells that were already resident in the bone marrow of recipient mice.
These results suggest 15-PGDH inhibition causes an increase in bone marrow PGE2, which induces the expression of bone marrow CXCL12 and SCF, and these cytokines alter the bone marrow microenvironment to better support the homing of transplanted cells.
The researchers also evaluated whether 15-PGDH inhibition promotes hematopoietic recovery after BMT. They studied lethally irradiated mice that received 200,000 strain-matched donor bone marrow cells, which were insufficient to reconstitute hematopoiesis in the mice.
When the mice were treated with SW033291, they survived for more than 30 days. All control mice, on the other hand, died between days 6 and 14.
For the last of their BMT experiments, the researchers examined the effect of SW033291 on mice transplanted with 500,000 bone marrow cells.
All SW033291-treated mice and 63% of control mice survived for 30 days, which allowed the team to compare hematopoietic recovery between the two groups. They found that SW033291 significantly accelerated the recovery of neutrophils, platelets, and red blood cells.
Experiments in mice with liver or colon injuries suggested that SW033291 can aid recovery in these models as well.
Photo by Chad McNeeley
A small molecule may be able to accelerate cell recovery in bone marrow transplant (BMT) recipients and patients with liver or colon disease, researchers believe.
The molecule, SW033291, inhibits 15-PGDH, a prostaglandin-degrading enzyme that regulates tissue regeneration in multiple organs.
SW033291 accelerated hematopoietic recovery in mice that received BMTs and promoted tissue regeneration in mice with liver or colon injuries.
“We propose that SW033291 will be useful in accelerating recovery of bone marrow cells following a bone marrow transplant and may also be a treatment for colitis,” said James Willson, MD, of the University of Texas Southwestern Medical Center in Dallas.
He and his colleagues described their work with SW033291 in Science.
To examine the effects of inhibiting 15-PGDH on the bone marrow, the researchers conducted experiments with 15-PGDH-knockout mice and SW033291-treated mice, comparing them to control mice.
The team saw a 43% increase in neutrophil counts and a 39% increase in bone marrow Sca-1+ C-kit+ Lin– (SKL) cells in 15-PGDH knockout compared to wild-type mice. There were no significant differences in counts of other peripheral blood cells, bone marrow cellularity, or counts of bone marrow Sca-1+ C-kit+ Lin– CD48– CD150+ (SLAM) cells.
SW033291-treated mice had double the peripheral neutrophil counts of controls, a 65% increase in marrow SKL cells, and a 71% increase in marrow SLAM cells.
Results of additional experiments indicated that SW033291 works by increasing PGE2 levels in the bone marrow, and PGE2 functions through the EP2 and EP4 receptors to induce expression of CXCL12 and SCF.
The researchers also tested whether SW033291 could increase the bone marrow’s ability to attract and support new hematopoietic stem cells after BMT in mice. They found that BMT recipients treated with SW033291 had a 2- to 3-fold increase in the number of donor cells that homed to their bone marrow, compared to vehicle-treated BMT recipients.
The researchers said this SW033291-induced homing of transplanted bone marrow cells was driven, at least in part, by the induction of CXCL12 expression in CD45– nonmyeloid cells that were already resident in the bone marrow of recipient mice.
These results suggest 15-PGDH inhibition causes an increase in bone marrow PGE2, which induces the expression of bone marrow CXCL12 and SCF, and these cytokines alter the bone marrow microenvironment to better support the homing of transplanted cells.
The researchers also evaluated whether 15-PGDH inhibition promotes hematopoietic recovery after BMT. They studied lethally irradiated mice that received 200,000 strain-matched donor bone marrow cells, which were insufficient to reconstitute hematopoiesis in the mice.
When the mice were treated with SW033291, they survived for more than 30 days. All control mice, on the other hand, died between days 6 and 14.
For the last of their BMT experiments, the researchers examined the effect of SW033291 on mice transplanted with 500,000 bone marrow cells.
All SW033291-treated mice and 63% of control mice survived for 30 days, which allowed the team to compare hematopoietic recovery between the two groups. They found that SW033291 significantly accelerated the recovery of neutrophils, platelets, and red blood cells.
Experiments in mice with liver or colon injuries suggested that SW033291 can aid recovery in these models as well.
Photo by Chad McNeeley
A small molecule may be able to accelerate cell recovery in bone marrow transplant (BMT) recipients and patients with liver or colon disease, researchers believe.
The molecule, SW033291, inhibits 15-PGDH, a prostaglandin-degrading enzyme that regulates tissue regeneration in multiple organs.
SW033291 accelerated hematopoietic recovery in mice that received BMTs and promoted tissue regeneration in mice with liver or colon injuries.
“We propose that SW033291 will be useful in accelerating recovery of bone marrow cells following a bone marrow transplant and may also be a treatment for colitis,” said James Willson, MD, of the University of Texas Southwestern Medical Center in Dallas.
He and his colleagues described their work with SW033291 in Science.
To examine the effects of inhibiting 15-PGDH on the bone marrow, the researchers conducted experiments with 15-PGDH-knockout mice and SW033291-treated mice, comparing them to control mice.
The team saw a 43% increase in neutrophil counts and a 39% increase in bone marrow Sca-1+ C-kit+ Lin– (SKL) cells in 15-PGDH knockout compared to wild-type mice. There were no significant differences in counts of other peripheral blood cells, bone marrow cellularity, or counts of bone marrow Sca-1+ C-kit+ Lin– CD48– CD150+ (SLAM) cells.
SW033291-treated mice had double the peripheral neutrophil counts of controls, a 65% increase in marrow SKL cells, and a 71% increase in marrow SLAM cells.
Results of additional experiments indicated that SW033291 works by increasing PGE2 levels in the bone marrow, and PGE2 functions through the EP2 and EP4 receptors to induce expression of CXCL12 and SCF.
The researchers also tested whether SW033291 could increase the bone marrow’s ability to attract and support new hematopoietic stem cells after BMT in mice. They found that BMT recipients treated with SW033291 had a 2- to 3-fold increase in the number of donor cells that homed to their bone marrow, compared to vehicle-treated BMT recipients.
The researchers said this SW033291-induced homing of transplanted bone marrow cells was driven, at least in part, by the induction of CXCL12 expression in CD45– nonmyeloid cells that were already resident in the bone marrow of recipient mice.
These results suggest 15-PGDH inhibition causes an increase in bone marrow PGE2, which induces the expression of bone marrow CXCL12 and SCF, and these cytokines alter the bone marrow microenvironment to better support the homing of transplanted cells.
The researchers also evaluated whether 15-PGDH inhibition promotes hematopoietic recovery after BMT. They studied lethally irradiated mice that received 200,000 strain-matched donor bone marrow cells, which were insufficient to reconstitute hematopoiesis in the mice.
When the mice were treated with SW033291, they survived for more than 30 days. All control mice, on the other hand, died between days 6 and 14.
For the last of their BMT experiments, the researchers examined the effect of SW033291 on mice transplanted with 500,000 bone marrow cells.
All SW033291-treated mice and 63% of control mice survived for 30 days, which allowed the team to compare hematopoietic recovery between the two groups. They found that SW033291 significantly accelerated the recovery of neutrophils, platelets, and red blood cells.
Experiments in mice with liver or colon injuries suggested that SW033291 can aid recovery in these models as well.
Modern housing may reduce malaria risk
Photo by James Gathany
Living in a “modern” house may reduce a person’s risk of contracting malaria, according to research published in Malaria Journal.
As insecticide and drug resistance are on the rise, researchers wanted to determine how making changes to housing might aid the fight against malaria.
So they reviewed 90 studies conducted in Africa, Asia, and South America, comparing the incidence of malaria among people who live in “traditional” and “modern” houses.
The traditional houses consisted of mud, stone, bamboo, or wood walls; thatched, mud, or wood roofs; and earth or wood floors. The modern houses had closed eaves, ceilings, screened doors, and windows.
The researchers found that residents of modern homes were 47% less likely to be infected with malaria than those living in traditional houses. And residents of modern homes were 45% to 65% less likely to have clinical malaria (fever with infection).
“Housing improvements were traditionally an important pillar of public health, but they remain underexploited in malaria control,” said study author Lucy Tusting, of the London School of Hygiene & Tropical Medicine in the UK.
“Good housing can block mosquitoes from entering homes and prevent them from transmitting malaria to the people who live there. Our study suggests housing could be an important tool in tackling malaria. This is a welcome finding at a time when we are facing increasing resistance to our most effective insecticides and drugs.”
“We now need to pinpoint which housing features can reduce mosquito entry in different settings, to incorporate these into local housing designs, and to assess the impact on malaria in large-scale field trials.”
The researchers noted that the effectiveness of improving housing will vary depending on the location. While many mosquitoes enter homes to bite humans at night, outdoor malaria transmission is more common in some places. So interventions centered on the home will have less of an impact in these areas.
The researchers also conceded that the studies eligible for inclusion in this review were of low quality. However, they said the consistency of the findings indicate that housing is an important risk factor for malaria.
Photo by James Gathany
Living in a “modern” house may reduce a person’s risk of contracting malaria, according to research published in Malaria Journal.
As insecticide and drug resistance are on the rise, researchers wanted to determine how making changes to housing might aid the fight against malaria.
So they reviewed 90 studies conducted in Africa, Asia, and South America, comparing the incidence of malaria among people who live in “traditional” and “modern” houses.
The traditional houses consisted of mud, stone, bamboo, or wood walls; thatched, mud, or wood roofs; and earth or wood floors. The modern houses had closed eaves, ceilings, screened doors, and windows.
The researchers found that residents of modern homes were 47% less likely to be infected with malaria than those living in traditional houses. And residents of modern homes were 45% to 65% less likely to have clinical malaria (fever with infection).
“Housing improvements were traditionally an important pillar of public health, but they remain underexploited in malaria control,” said study author Lucy Tusting, of the London School of Hygiene & Tropical Medicine in the UK.
“Good housing can block mosquitoes from entering homes and prevent them from transmitting malaria to the people who live there. Our study suggests housing could be an important tool in tackling malaria. This is a welcome finding at a time when we are facing increasing resistance to our most effective insecticides and drugs.”
“We now need to pinpoint which housing features can reduce mosquito entry in different settings, to incorporate these into local housing designs, and to assess the impact on malaria in large-scale field trials.”
The researchers noted that the effectiveness of improving housing will vary depending on the location. While many mosquitoes enter homes to bite humans at night, outdoor malaria transmission is more common in some places. So interventions centered on the home will have less of an impact in these areas.
The researchers also conceded that the studies eligible for inclusion in this review were of low quality. However, they said the consistency of the findings indicate that housing is an important risk factor for malaria.
Photo by James Gathany
Living in a “modern” house may reduce a person’s risk of contracting malaria, according to research published in Malaria Journal.
As insecticide and drug resistance are on the rise, researchers wanted to determine how making changes to housing might aid the fight against malaria.
So they reviewed 90 studies conducted in Africa, Asia, and South America, comparing the incidence of malaria among people who live in “traditional” and “modern” houses.
The traditional houses consisted of mud, stone, bamboo, or wood walls; thatched, mud, or wood roofs; and earth or wood floors. The modern houses had closed eaves, ceilings, screened doors, and windows.
The researchers found that residents of modern homes were 47% less likely to be infected with malaria than those living in traditional houses. And residents of modern homes were 45% to 65% less likely to have clinical malaria (fever with infection).
“Housing improvements were traditionally an important pillar of public health, but they remain underexploited in malaria control,” said study author Lucy Tusting, of the London School of Hygiene & Tropical Medicine in the UK.
“Good housing can block mosquitoes from entering homes and prevent them from transmitting malaria to the people who live there. Our study suggests housing could be an important tool in tackling malaria. This is a welcome finding at a time when we are facing increasing resistance to our most effective insecticides and drugs.”
“We now need to pinpoint which housing features can reduce mosquito entry in different settings, to incorporate these into local housing designs, and to assess the impact on malaria in large-scale field trials.”
The researchers noted that the effectiveness of improving housing will vary depending on the location. While many mosquitoes enter homes to bite humans at night, outdoor malaria transmission is more common in some places. So interventions centered on the home will have less of an impact in these areas.
The researchers also conceded that the studies eligible for inclusion in this review were of low quality. However, they said the consistency of the findings indicate that housing is an important risk factor for malaria.
‘Dabbing’ on the rise: Is this marijuana use dangerous?
The use of butane hash oil and the inhalation of concentrated tetrahydrocannabinol created through butane extraction, otherwise known as “dabbing,” seems to be on the rise in the United States, and might carry risks beyond that of traditional marijuana, according to John M. Stogner, Ph.D., and Bryan Lee Miller, Ph.D.
Butane hash oil (BHO) is produced by passing butane through a tube filled with cannabis trimmings. The tetrahydrocannabinol (THC) dissolves in the butane, and the mixture is collected. The butane evaporates off, leaving crystals that can be up to 80% THC. This process, known as blasting, can be done at home. However, butane is a dangerous and flammable substance, and the risks tied to blasting are similar to those of methamphetamine production.
Dabbing itself involves inhaling vaporized THC crystals through a glass water pipe using a hollow titanium rod heated by a blowtorch. Aside from the obvious health risk of using a blowtorch while mentally impaired, dabbing also can involve inhalation of off-gassing solder, rust from oxidized metal, and benzene.
There has been little research into the health effects of dabbing. Some sources suggest that substances that cause lung damage are not smoked and there is no risk of bacterial or fungal infection; others suggest that adverse side effects such as loss of consciousness and falls are more common, and that dabbing carries an increased risk of addiction.
Primary care physicians should inform patients of potential risk, but they “should avoid hyperbolic arguments like those of the media that describe dabbing as ‘the crack of pot,’ and instead urge caution. Patients should be advised that research is lacking, information is still largely anecdotal, and the safest option is to refrain from use when definitive answers are absent,” Dr. Stogner and Dr. Miller noted.
Find the full perspective in Pediatrics (doi:10.1542/peds.2015-0454).
The use of butane hash oil and the inhalation of concentrated tetrahydrocannabinol created through butane extraction, otherwise known as “dabbing,” seems to be on the rise in the United States, and might carry risks beyond that of traditional marijuana, according to John M. Stogner, Ph.D., and Bryan Lee Miller, Ph.D.
Butane hash oil (BHO) is produced by passing butane through a tube filled with cannabis trimmings. The tetrahydrocannabinol (THC) dissolves in the butane, and the mixture is collected. The butane evaporates off, leaving crystals that can be up to 80% THC. This process, known as blasting, can be done at home. However, butane is a dangerous and flammable substance, and the risks tied to blasting are similar to those of methamphetamine production.
Dabbing itself involves inhaling vaporized THC crystals through a glass water pipe using a hollow titanium rod heated by a blowtorch. Aside from the obvious health risk of using a blowtorch while mentally impaired, dabbing also can involve inhalation of off-gassing solder, rust from oxidized metal, and benzene.
There has been little research into the health effects of dabbing. Some sources suggest that substances that cause lung damage are not smoked and there is no risk of bacterial or fungal infection; others suggest that adverse side effects such as loss of consciousness and falls are more common, and that dabbing carries an increased risk of addiction.
Primary care physicians should inform patients of potential risk, but they “should avoid hyperbolic arguments like those of the media that describe dabbing as ‘the crack of pot,’ and instead urge caution. Patients should be advised that research is lacking, information is still largely anecdotal, and the safest option is to refrain from use when definitive answers are absent,” Dr. Stogner and Dr. Miller noted.
Find the full perspective in Pediatrics (doi:10.1542/peds.2015-0454).
The use of butane hash oil and the inhalation of concentrated tetrahydrocannabinol created through butane extraction, otherwise known as “dabbing,” seems to be on the rise in the United States, and might carry risks beyond that of traditional marijuana, according to John M. Stogner, Ph.D., and Bryan Lee Miller, Ph.D.
Butane hash oil (BHO) is produced by passing butane through a tube filled with cannabis trimmings. The tetrahydrocannabinol (THC) dissolves in the butane, and the mixture is collected. The butane evaporates off, leaving crystals that can be up to 80% THC. This process, known as blasting, can be done at home. However, butane is a dangerous and flammable substance, and the risks tied to blasting are similar to those of methamphetamine production.
Dabbing itself involves inhaling vaporized THC crystals through a glass water pipe using a hollow titanium rod heated by a blowtorch. Aside from the obvious health risk of using a blowtorch while mentally impaired, dabbing also can involve inhalation of off-gassing solder, rust from oxidized metal, and benzene.
There has been little research into the health effects of dabbing. Some sources suggest that substances that cause lung damage are not smoked and there is no risk of bacterial or fungal infection; others suggest that adverse side effects such as loss of consciousness and falls are more common, and that dabbing carries an increased risk of addiction.
Primary care physicians should inform patients of potential risk, but they “should avoid hyperbolic arguments like those of the media that describe dabbing as ‘the crack of pot,’ and instead urge caution. Patients should be advised that research is lacking, information is still largely anecdotal, and the safest option is to refrain from use when definitive answers are absent,” Dr. Stogner and Dr. Miller noted.
Find the full perspective in Pediatrics (doi:10.1542/peds.2015-0454).
Decompressive brain surgery carries high complication risk
VIENNA – Decompressive hemicraniectomy for malignant middle cerebral artery infarction was associated with high rates of in-hospital and late complications in a clinical practice setting, according to research reported at the annual European Stroke Conference.
The retrospective findings showed that 88.1% of the 48 patients who underwent the surgery experienced complications such as intracranial hemorrhage (ICH) or symptomatic epilepsy while hospitalized, and 89.5% experienced complications in the later months of their recovery.
While these complication rates are higher than those seen in the randomized controlled clinical studies, the operation still proved life saving for many, with in-hospital and overall mortality rates of 12.5% and 14.6%, respectively, which is similar to the mortality rate seen in the DESTINY trial (Stroke 2007;38:2518-25) after 6 months.
“Patients who underwent [decompressive hemicraniectomy] are a complication-prone collective”, said Dr. Hans-Werner Pledl, resident physician at the department of neurology, UniversitätsMedizin Mannheim, University of Heidelberg (Germany). “Especially in the elderly, recovery stays limited in relevant factors such as ambulation and conversation for self-sufficiency,” he added.
To date, four clinical trials – DECIMAL (Stroke 2007;38:2506-17), HAMLET (Lancet Neurol 2009;8:326-33) and DESTINY and DESTINY II (Int J Stroke 2011;6:79-86) – have looked at the efficacy and safety of DHC in small numbers of patients with life-threatening middle cerebral artery (MCA) infarction. Of these, only DESTINY II included patients over 60 years of age so while there was evidence that the pressure-relieving surgery reduced mortality if performed early, albeit with an increase in functional disability, experience in older patients was less clear. To look at the complication rates in a real-world practice setting, Dr. Pledl of University Hospital Mannheim’s stroke unit, examined the medical records of 48 patients with MCA infarction who underwent DHC between 2008 and 2014. At the time of admission, the 21 male and 27 female patients were aged 28 to 70 years, with the mean age being 57 years. Dr. Pledl noted that two out of every five (41.7%) patients was over the age of 60 years.
On average, patients were referred to the stroke unit within 3 hours and 44 minutes of the incident event, but some were seen within 30 minutes and others within 5 days. A total of 43.8% of patients had an MCA infarction involving the dominant hemisphere and just under 60% received thrombolytic therapy with rtPA. The median time to surgery was 1.3 days, with just over one-fifth (21.7%) of patients undergoing DHC more than 48 hours after their stroke.
The median National Institutes of Health Stroke Scale scores at admission and discharge were 19 and 18, respectively, while the modified Rankin Scale (mRS) score was 5 at both time points. The Barthel Index was 0 at admission, signifying that the patient was heavily dependent on a carer to perform basic living activities, and 7.5 at discharge, indicating some only marginal improvement in patients’ independence.
The majority (75%) of patients achieved reasonable recovery with early (phase B) rehabilitation, 44% with continued poststroke (phase C) rehabilitation, and 6% were able to become self-sufficient and some even returning to work (phase D). “Remarkably, nearly half (48.9%) of patients return home after rehabilitation and do not stay in a clinical or institutional care facility,” Dr. Pledl said.
In-hospital neurological or psychiatric complications included ICH (seven patients), symptomatic epilepsy (six patients), and delirium (five patients). Perioperative complications included meningitis (three patients), wound healing disorders (three patients), and two patients had epidural hemorrhage (EDH). Common infections included pneumonia (13 patients) and urinary tract infections (UTI, eight patients), and other complications included anemia (14 patients) and cardiac complications (nine patients).
During the recovery phase, the most common neurological or psychiatric complications were central pain syndrome and symptomatic epilepsy, affecting nine patients each. Patients again experienced EDH (five patients), with some cases of hydrocephalus (four patients) and wound-healing problems (three patients). UTIs were the most common type of infection, seen in 14 patients. Other late complications included dysphagia (41.7%) and tracheostomy (35.4%), and post-rehab depression (54.2%).
Dr. Pledl suggested that the findings could be used to help better inform patients and their carers so they can have “realistic expectations” of the procedure’s likely outcomes and decide whether or not to have the surgery performed. These “real world” data could also help physicians to be more aware of the likely complications and perhaps address them in some way so that they have minimal impact on patients’ quality of life.
Although patients who experienced complications in this study were not asked if they regretted the decision to undergo the surgery, there is evidence to show that patients and carers can accept a significant level of disability without having significantly impaired quality of life. Nevertheless, the decision on whether DHC should be performed should be made on an individual case basis, especially in older patients, Dr. Pledl concluded.
The next step is to see if there are any subgroups of patients who might fare better or worse after DHC and hopefully identify some predictive imaging markers that could help the decision-making process.
Dr. Pledl reported no conflicts.
VIENNA – Decompressive hemicraniectomy for malignant middle cerebral artery infarction was associated with high rates of in-hospital and late complications in a clinical practice setting, according to research reported at the annual European Stroke Conference.
The retrospective findings showed that 88.1% of the 48 patients who underwent the surgery experienced complications such as intracranial hemorrhage (ICH) or symptomatic epilepsy while hospitalized, and 89.5% experienced complications in the later months of their recovery.
While these complication rates are higher than those seen in the randomized controlled clinical studies, the operation still proved life saving for many, with in-hospital and overall mortality rates of 12.5% and 14.6%, respectively, which is similar to the mortality rate seen in the DESTINY trial (Stroke 2007;38:2518-25) after 6 months.
“Patients who underwent [decompressive hemicraniectomy] are a complication-prone collective”, said Dr. Hans-Werner Pledl, resident physician at the department of neurology, UniversitätsMedizin Mannheim, University of Heidelberg (Germany). “Especially in the elderly, recovery stays limited in relevant factors such as ambulation and conversation for self-sufficiency,” he added.
To date, four clinical trials – DECIMAL (Stroke 2007;38:2506-17), HAMLET (Lancet Neurol 2009;8:326-33) and DESTINY and DESTINY II (Int J Stroke 2011;6:79-86) – have looked at the efficacy and safety of DHC in small numbers of patients with life-threatening middle cerebral artery (MCA) infarction. Of these, only DESTINY II included patients over 60 years of age so while there was evidence that the pressure-relieving surgery reduced mortality if performed early, albeit with an increase in functional disability, experience in older patients was less clear. To look at the complication rates in a real-world practice setting, Dr. Pledl of University Hospital Mannheim’s stroke unit, examined the medical records of 48 patients with MCA infarction who underwent DHC between 2008 and 2014. At the time of admission, the 21 male and 27 female patients were aged 28 to 70 years, with the mean age being 57 years. Dr. Pledl noted that two out of every five (41.7%) patients was over the age of 60 years.
On average, patients were referred to the stroke unit within 3 hours and 44 minutes of the incident event, but some were seen within 30 minutes and others within 5 days. A total of 43.8% of patients had an MCA infarction involving the dominant hemisphere and just under 60% received thrombolytic therapy with rtPA. The median time to surgery was 1.3 days, with just over one-fifth (21.7%) of patients undergoing DHC more than 48 hours after their stroke.
The median National Institutes of Health Stroke Scale scores at admission and discharge were 19 and 18, respectively, while the modified Rankin Scale (mRS) score was 5 at both time points. The Barthel Index was 0 at admission, signifying that the patient was heavily dependent on a carer to perform basic living activities, and 7.5 at discharge, indicating some only marginal improvement in patients’ independence.
The majority (75%) of patients achieved reasonable recovery with early (phase B) rehabilitation, 44% with continued poststroke (phase C) rehabilitation, and 6% were able to become self-sufficient and some even returning to work (phase D). “Remarkably, nearly half (48.9%) of patients return home after rehabilitation and do not stay in a clinical or institutional care facility,” Dr. Pledl said.
In-hospital neurological or psychiatric complications included ICH (seven patients), symptomatic epilepsy (six patients), and delirium (five patients). Perioperative complications included meningitis (three patients), wound healing disorders (three patients), and two patients had epidural hemorrhage (EDH). Common infections included pneumonia (13 patients) and urinary tract infections (UTI, eight patients), and other complications included anemia (14 patients) and cardiac complications (nine patients).
During the recovery phase, the most common neurological or psychiatric complications were central pain syndrome and symptomatic epilepsy, affecting nine patients each. Patients again experienced EDH (five patients), with some cases of hydrocephalus (four patients) and wound-healing problems (three patients). UTIs were the most common type of infection, seen in 14 patients. Other late complications included dysphagia (41.7%) and tracheostomy (35.4%), and post-rehab depression (54.2%).
Dr. Pledl suggested that the findings could be used to help better inform patients and their carers so they can have “realistic expectations” of the procedure’s likely outcomes and decide whether or not to have the surgery performed. These “real world” data could also help physicians to be more aware of the likely complications and perhaps address them in some way so that they have minimal impact on patients’ quality of life.
Although patients who experienced complications in this study were not asked if they regretted the decision to undergo the surgery, there is evidence to show that patients and carers can accept a significant level of disability without having significantly impaired quality of life. Nevertheless, the decision on whether DHC should be performed should be made on an individual case basis, especially in older patients, Dr. Pledl concluded.
The next step is to see if there are any subgroups of patients who might fare better or worse after DHC and hopefully identify some predictive imaging markers that could help the decision-making process.
Dr. Pledl reported no conflicts.
VIENNA – Decompressive hemicraniectomy for malignant middle cerebral artery infarction was associated with high rates of in-hospital and late complications in a clinical practice setting, according to research reported at the annual European Stroke Conference.
The retrospective findings showed that 88.1% of the 48 patients who underwent the surgery experienced complications such as intracranial hemorrhage (ICH) or symptomatic epilepsy while hospitalized, and 89.5% experienced complications in the later months of their recovery.
While these complication rates are higher than those seen in the randomized controlled clinical studies, the operation still proved life saving for many, with in-hospital and overall mortality rates of 12.5% and 14.6%, respectively, which is similar to the mortality rate seen in the DESTINY trial (Stroke 2007;38:2518-25) after 6 months.
“Patients who underwent [decompressive hemicraniectomy] are a complication-prone collective”, said Dr. Hans-Werner Pledl, resident physician at the department of neurology, UniversitätsMedizin Mannheim, University of Heidelberg (Germany). “Especially in the elderly, recovery stays limited in relevant factors such as ambulation and conversation for self-sufficiency,” he added.
To date, four clinical trials – DECIMAL (Stroke 2007;38:2506-17), HAMLET (Lancet Neurol 2009;8:326-33) and DESTINY and DESTINY II (Int J Stroke 2011;6:79-86) – have looked at the efficacy and safety of DHC in small numbers of patients with life-threatening middle cerebral artery (MCA) infarction. Of these, only DESTINY II included patients over 60 years of age so while there was evidence that the pressure-relieving surgery reduced mortality if performed early, albeit with an increase in functional disability, experience in older patients was less clear. To look at the complication rates in a real-world practice setting, Dr. Pledl of University Hospital Mannheim’s stroke unit, examined the medical records of 48 patients with MCA infarction who underwent DHC between 2008 and 2014. At the time of admission, the 21 male and 27 female patients were aged 28 to 70 years, with the mean age being 57 years. Dr. Pledl noted that two out of every five (41.7%) patients was over the age of 60 years.
On average, patients were referred to the stroke unit within 3 hours and 44 minutes of the incident event, but some were seen within 30 minutes and others within 5 days. A total of 43.8% of patients had an MCA infarction involving the dominant hemisphere and just under 60% received thrombolytic therapy with rtPA. The median time to surgery was 1.3 days, with just over one-fifth (21.7%) of patients undergoing DHC more than 48 hours after their stroke.
The median National Institutes of Health Stroke Scale scores at admission and discharge were 19 and 18, respectively, while the modified Rankin Scale (mRS) score was 5 at both time points. The Barthel Index was 0 at admission, signifying that the patient was heavily dependent on a carer to perform basic living activities, and 7.5 at discharge, indicating some only marginal improvement in patients’ independence.
The majority (75%) of patients achieved reasonable recovery with early (phase B) rehabilitation, 44% with continued poststroke (phase C) rehabilitation, and 6% were able to become self-sufficient and some even returning to work (phase D). “Remarkably, nearly half (48.9%) of patients return home after rehabilitation and do not stay in a clinical or institutional care facility,” Dr. Pledl said.
In-hospital neurological or psychiatric complications included ICH (seven patients), symptomatic epilepsy (six patients), and delirium (five patients). Perioperative complications included meningitis (three patients), wound healing disorders (three patients), and two patients had epidural hemorrhage (EDH). Common infections included pneumonia (13 patients) and urinary tract infections (UTI, eight patients), and other complications included anemia (14 patients) and cardiac complications (nine patients).
During the recovery phase, the most common neurological or psychiatric complications were central pain syndrome and symptomatic epilepsy, affecting nine patients each. Patients again experienced EDH (five patients), with some cases of hydrocephalus (four patients) and wound-healing problems (three patients). UTIs were the most common type of infection, seen in 14 patients. Other late complications included dysphagia (41.7%) and tracheostomy (35.4%), and post-rehab depression (54.2%).
Dr. Pledl suggested that the findings could be used to help better inform patients and their carers so they can have “realistic expectations” of the procedure’s likely outcomes and decide whether or not to have the surgery performed. These “real world” data could also help physicians to be more aware of the likely complications and perhaps address them in some way so that they have minimal impact on patients’ quality of life.
Although patients who experienced complications in this study were not asked if they regretted the decision to undergo the surgery, there is evidence to show that patients and carers can accept a significant level of disability without having significantly impaired quality of life. Nevertheless, the decision on whether DHC should be performed should be made on an individual case basis, especially in older patients, Dr. Pledl concluded.
The next step is to see if there are any subgroups of patients who might fare better or worse after DHC and hopefully identify some predictive imaging markers that could help the decision-making process.
Dr. Pledl reported no conflicts.
AT THE EUROPEAN STROKE CONFERENCE
Key clinical point: The high risk of complications associated with decompressive hemicraniectomy for malignant middle cerebral artery infarction warrants appropriate counseling and individualized therapeutic decision-making.
Major finding: The in-hospital and late complication rates associated with decompressive hemicraniectomy for malignant middle cerebral artery infarction were 88.1% and 89.5%, respectively.
Data source: Retrospective, observational, single-center study of 48 patients who underwent decompressive hemicrainiectomy between 2008 and 2014.
Disclosures: Dr. Pledl reported no conflicts.
EHA: Inotuzumab rallies against refractory/relapsed ALL
VIENNA – The investigational agent inotuzumab ozagamicin more than doubled complete remission rates compared with standard therapy in relapsed or refractory acute lymphoblastic leukemia, preliminary results from the INO-VATE study show.
The co-primary endpoint of complete remission or CR with incomplete hematologic recovery (CRi) by independent review was achieved by 80.7% of patients treated with inotuzumab and 33.3% treated with standard of care (SOC) (P < .0001).
Significantly more CR/CRi responders treated with inotuzumab were minimal residual disease (MRD)-negative by multicolor flow cytometry (78.4% vs. 28.1%; P < .0001), Dr. Daniel DeAngelo reported in a late-breaking abstract (LBA2073) at the annual congress of the European Hematology Association.
“The fact that the response rate was astronomically high with a high MRD-negative status really allows this or this should be an opportunity for patients with relapsed/refractory disease,” he said in an interview.
Inotuzumab ozagamicin is an investigational anti-CD22 antibody conjugated to calicheamicin, an antitumor antibiotic. CD22 is expressed on the surface of about 90% of B-cell ALL cells.
Previous phase II studies reported strong initial antitumor activity and safety with inotuzumab in relapsed or refractory ALL, Dr. DeAngelo, of the Dana Farber Cancer Institute in Boston, said.
The ongoing phase III trial randomized 326 patients with relapsed/refractory CD22-positive ALL due for salvage 1 or 2 therapy to inotuzumab or SOC: either the FLAG regimen (fludarabine (Fludara)/cytarabine (Ara-C)/granulocyte colony-stimulating factor), Ara-C plus mitoxantrone (Novantrone), or high-dose Ara-C. The starting dose for inotuzumab was 1.8 mg/m2/cycle and was reduced to 1.5 mg/m2/cycle once CR/CRi was achieved. Patients were stratified by duration of first remission, salvage 1 or 2, and age.
The first 218 randomized patients were included in the intention-to-treat CR/CRi analysis, which was modified after excluding 13 patients from the SOC arm who refused to start treatment.
The patients’ median age was 47 years (ranging up to 79 years), two-thirds were salvage 1, and more than half had a remission duration of less than 12 months, an adverse prognostic feature.
Data for the co-primary endpoint of overall survival in all 326 patients are still blinded and not expected to mature until 2016, Dr. DeAngelo said.
CR/CRi analyses significantly favored inotuzumab in all stratification factors and baseline factors including peripheral blasts and CD22 expression. Cytogenetics are still being evaluated, but 11 of 14 (79%) patients with Philadelphia-positive karyotype achieved a CR or CRi, he said.
Median duration of remission among responders was 4.6 months in the inotuzumab arm and 3.1 months in the SOC arm (hazard ratio, 0.55; P = .016).
Safety assessed in 259 patients who received at least one dose of study drug showed similar incidence of grade 3 or higher adverse events in the inotuzumab and SOC arms (91% vs. 95%). There were 2 fatal events in the SOC arm and 4 in the inotuzumab arm: 2 veno-occlusive disease (VOD)/sinusoidal obstruction syndrome (SOS), both after poststudy transplant, 1 intestinal ischemia/septic shock, and 1 acute respiratory distress syndrome as a terminal event of pneumonia. In multivariate analysis, dual alkylator conditioning was the only significant covariate of VOD/SOS (P = .039), Dr. DeAngelo said.
An audience member chided the author for the short duration of remission, but session co-moderator Dr. Anthony Moorman, of Newcastle University, Newcastle upon Tyne, England, said it is not that concerning because of the aggressive nature of ALL.
“For all patients that have relapsed or refractory adult ALL, their responses are incredibly low. So any kind of complete remission is a major achievement in this patient population, especially if they are refractory or relapse after tyrosine kinase inhibitors or Philadelphia-positive,” he said in an interview.
“When you have an active agent that works with relapsed refractory disease, in this case leukemia, the goal is to move it up front,” Dr. DeAngelo told this publication.
Indeed, updated results presented at the meeting from M.D. Anderson Cancer Center of frontline inotuzumab added to low-intensity chemotherapy (Mini-hyper CVD) in elderly ALL patients were “provocative,” he added. CR rates reached 97% in the study, according to the abstract (S114).
VIENNA – The investigational agent inotuzumab ozagamicin more than doubled complete remission rates compared with standard therapy in relapsed or refractory acute lymphoblastic leukemia, preliminary results from the INO-VATE study show.
The co-primary endpoint of complete remission or CR with incomplete hematologic recovery (CRi) by independent review was achieved by 80.7% of patients treated with inotuzumab and 33.3% treated with standard of care (SOC) (P < .0001).
Significantly more CR/CRi responders treated with inotuzumab were minimal residual disease (MRD)-negative by multicolor flow cytometry (78.4% vs. 28.1%; P < .0001), Dr. Daniel DeAngelo reported in a late-breaking abstract (LBA2073) at the annual congress of the European Hematology Association.
“The fact that the response rate was astronomically high with a high MRD-negative status really allows this or this should be an opportunity for patients with relapsed/refractory disease,” he said in an interview.
Inotuzumab ozagamicin is an investigational anti-CD22 antibody conjugated to calicheamicin, an antitumor antibiotic. CD22 is expressed on the surface of about 90% of B-cell ALL cells.
Previous phase II studies reported strong initial antitumor activity and safety with inotuzumab in relapsed or refractory ALL, Dr. DeAngelo, of the Dana Farber Cancer Institute in Boston, said.
The ongoing phase III trial randomized 326 patients with relapsed/refractory CD22-positive ALL due for salvage 1 or 2 therapy to inotuzumab or SOC: either the FLAG regimen (fludarabine (Fludara)/cytarabine (Ara-C)/granulocyte colony-stimulating factor), Ara-C plus mitoxantrone (Novantrone), or high-dose Ara-C. The starting dose for inotuzumab was 1.8 mg/m2/cycle and was reduced to 1.5 mg/m2/cycle once CR/CRi was achieved. Patients were stratified by duration of first remission, salvage 1 or 2, and age.
The first 218 randomized patients were included in the intention-to-treat CR/CRi analysis, which was modified after excluding 13 patients from the SOC arm who refused to start treatment.
The patients’ median age was 47 years (ranging up to 79 years), two-thirds were salvage 1, and more than half had a remission duration of less than 12 months, an adverse prognostic feature.
Data for the co-primary endpoint of overall survival in all 326 patients are still blinded and not expected to mature until 2016, Dr. DeAngelo said.
CR/CRi analyses significantly favored inotuzumab in all stratification factors and baseline factors including peripheral blasts and CD22 expression. Cytogenetics are still being evaluated, but 11 of 14 (79%) patients with Philadelphia-positive karyotype achieved a CR or CRi, he said.
Median duration of remission among responders was 4.6 months in the inotuzumab arm and 3.1 months in the SOC arm (hazard ratio, 0.55; P = .016).
Safety assessed in 259 patients who received at least one dose of study drug showed similar incidence of grade 3 or higher adverse events in the inotuzumab and SOC arms (91% vs. 95%). There were 2 fatal events in the SOC arm and 4 in the inotuzumab arm: 2 veno-occlusive disease (VOD)/sinusoidal obstruction syndrome (SOS), both after poststudy transplant, 1 intestinal ischemia/septic shock, and 1 acute respiratory distress syndrome as a terminal event of pneumonia. In multivariate analysis, dual alkylator conditioning was the only significant covariate of VOD/SOS (P = .039), Dr. DeAngelo said.
An audience member chided the author for the short duration of remission, but session co-moderator Dr. Anthony Moorman, of Newcastle University, Newcastle upon Tyne, England, said it is not that concerning because of the aggressive nature of ALL.
“For all patients that have relapsed or refractory adult ALL, their responses are incredibly low. So any kind of complete remission is a major achievement in this patient population, especially if they are refractory or relapse after tyrosine kinase inhibitors or Philadelphia-positive,” he said in an interview.
“When you have an active agent that works with relapsed refractory disease, in this case leukemia, the goal is to move it up front,” Dr. DeAngelo told this publication.
Indeed, updated results presented at the meeting from M.D. Anderson Cancer Center of frontline inotuzumab added to low-intensity chemotherapy (Mini-hyper CVD) in elderly ALL patients were “provocative,” he added. CR rates reached 97% in the study, according to the abstract (S114).
VIENNA – The investigational agent inotuzumab ozagamicin more than doubled complete remission rates compared with standard therapy in relapsed or refractory acute lymphoblastic leukemia, preliminary results from the INO-VATE study show.
The co-primary endpoint of complete remission or CR with incomplete hematologic recovery (CRi) by independent review was achieved by 80.7% of patients treated with inotuzumab and 33.3% treated with standard of care (SOC) (P < .0001).
Significantly more CR/CRi responders treated with inotuzumab were minimal residual disease (MRD)-negative by multicolor flow cytometry (78.4% vs. 28.1%; P < .0001), Dr. Daniel DeAngelo reported in a late-breaking abstract (LBA2073) at the annual congress of the European Hematology Association.
“The fact that the response rate was astronomically high with a high MRD-negative status really allows this or this should be an opportunity for patients with relapsed/refractory disease,” he said in an interview.
Inotuzumab ozagamicin is an investigational anti-CD22 antibody conjugated to calicheamicin, an antitumor antibiotic. CD22 is expressed on the surface of about 90% of B-cell ALL cells.
Previous phase II studies reported strong initial antitumor activity and safety with inotuzumab in relapsed or refractory ALL, Dr. DeAngelo, of the Dana Farber Cancer Institute in Boston, said.
The ongoing phase III trial randomized 326 patients with relapsed/refractory CD22-positive ALL due for salvage 1 or 2 therapy to inotuzumab or SOC: either the FLAG regimen (fludarabine (Fludara)/cytarabine (Ara-C)/granulocyte colony-stimulating factor), Ara-C plus mitoxantrone (Novantrone), or high-dose Ara-C. The starting dose for inotuzumab was 1.8 mg/m2/cycle and was reduced to 1.5 mg/m2/cycle once CR/CRi was achieved. Patients were stratified by duration of first remission, salvage 1 or 2, and age.
The first 218 randomized patients were included in the intention-to-treat CR/CRi analysis, which was modified after excluding 13 patients from the SOC arm who refused to start treatment.
The patients’ median age was 47 years (ranging up to 79 years), two-thirds were salvage 1, and more than half had a remission duration of less than 12 months, an adverse prognostic feature.
Data for the co-primary endpoint of overall survival in all 326 patients are still blinded and not expected to mature until 2016, Dr. DeAngelo said.
CR/CRi analyses significantly favored inotuzumab in all stratification factors and baseline factors including peripheral blasts and CD22 expression. Cytogenetics are still being evaluated, but 11 of 14 (79%) patients with Philadelphia-positive karyotype achieved a CR or CRi, he said.
Median duration of remission among responders was 4.6 months in the inotuzumab arm and 3.1 months in the SOC arm (hazard ratio, 0.55; P = .016).
Safety assessed in 259 patients who received at least one dose of study drug showed similar incidence of grade 3 or higher adverse events in the inotuzumab and SOC arms (91% vs. 95%). There were 2 fatal events in the SOC arm and 4 in the inotuzumab arm: 2 veno-occlusive disease (VOD)/sinusoidal obstruction syndrome (SOS), both after poststudy transplant, 1 intestinal ischemia/septic shock, and 1 acute respiratory distress syndrome as a terminal event of pneumonia. In multivariate analysis, dual alkylator conditioning was the only significant covariate of VOD/SOS (P = .039), Dr. DeAngelo said.
An audience member chided the author for the short duration of remission, but session co-moderator Dr. Anthony Moorman, of Newcastle University, Newcastle upon Tyne, England, said it is not that concerning because of the aggressive nature of ALL.
“For all patients that have relapsed or refractory adult ALL, their responses are incredibly low. So any kind of complete remission is a major achievement in this patient population, especially if they are refractory or relapse after tyrosine kinase inhibitors or Philadelphia-positive,” he said in an interview.
“When you have an active agent that works with relapsed refractory disease, in this case leukemia, the goal is to move it up front,” Dr. DeAngelo told this publication.
Indeed, updated results presented at the meeting from M.D. Anderson Cancer Center of frontline inotuzumab added to low-intensity chemotherapy (Mini-hyper CVD) in elderly ALL patients were “provocative,” he added. CR rates reached 97% in the study, according to the abstract (S114).
AT THE EHA CONGRESS
Key clinical point: Inotuzumab ozagamicin shows promise as a new treatment option for relapsed or refractory acute lymphoblastic leukemia.
Major finding: The rate of complete remission or CR with incomplete hematologic recovery was 80.7% with inotuzumab vs. 28.1% with standard of care (P < .0001).
Data source: Randomized, phase III study in the first 218 of 326 patients.
Disclosures: Pfizer sponsored the study and funded editorial assistance supplied by Complete Heathcare Communications. Dr. De Angelo reported research support from Sigma Tau and consulting for Novartis, Sigma Tau, Bristol-Myers Squibb, Amgen, and Pfizer.
EHA: Dasatinib gets early edge over imatinib in CML
VIENNA – Patients with chronic-phase chronic myeloid leukemia treated with first-line dasatinib achieved significantly more molecular responses at 2 years than those treated with imatinib in the SPIRIT 2 trial.
So far there is no difference, however, in disease progression or overall survival in the ongoing phase III trial, Dr. Stephen O’Brien reported at the annual congress of the European Hematology Association.
With 814 patients, SPIRIT 2 is the largest randomized trial of dasatinib (Sprycel) vs. imatinib (Gleevec).
Its design is similar to the ongoing 519-patient DASISION trial, which reported higher response rates with dasatinib than imatinib in the same setting, but similar progression-free and overall survival rates at 3-year follow-up.
The primary endpoint of SPIRIT 2 is event-free survival at 5 years and will be available in March 2018, he said. Patients at 172 hospitals in the United Kingdom were evenly randomized to imatinib 400 mg daily or dasatinib 100 mg daily. One patient in each group was excluded due to protocol violation or withdrawal of consent. Median follow-up is 42.4 months.
At 24 months, 60.6% of imatinib patients (246/406) and 71.4% of dasatinib patients (290/406) remained on treatment.
Significantly more patients treated with dasatinib than imatinib achieved a complete cytogenetic response at 12 months (53.3% vs. 42%; P = .003), but the difference was diminished at 24 months (33.7% vs. 27.5%; P = .189). These results should be interpreted with caution, however, because the data were incomplete, Dr. O’Brien, of Newcastle University Medical School, Newcastle upon Tyne, England, said.
He noted that the molecular data are more reliable and were calculated based on samples drawn within a 6-week window on either side of the 24-month time point. Values had to be imputed for 22 patients who had no 24-month sample taken, although this imputation should not impact survival outcomes, he said. Major molecular response was defined as a 3-log reduction in the BCR-ABL/ABL ratio, relative to baseline, with data also captured for patients achieving a 4-log reduction.
Significantly more patients on dasatinib than imatinib achieved an MR3 response (57.5% vs. 46%; P < .001) and MR4.5 response (20.2% vs. 14.3%; P = .026).
More patients stopped imatinib than dasatinib due to investigator and/or patient concerns about inadequate response (10.8% vs. 1.3%), whereas nonhematologic toxicities drove more patients to abandon dasatinib (22% vs. 12%), according to Dr. O’Brien.
Pleural effusion, a known toxicity with dasatinib, occurred in 24.1% of patients given the drug vs. 1.2% given imatinib, requiring drainage in 22 cases vs. 1 case, respectively. There was also a “difficult-to-explain” signal for breathlessness with no obvious cause (15.5% vs. 8%). Hypertension was confirmed in only one of these cases and symptoms resolved in others when the drug was withdrawn, he said.
Serious cardiac adverse events were reported in 2.2% of patients in the imatinib arm and 4.2% in the dasatinib arm. Again, the results should be interpreted with caution because trials set up at the time of SPIRIT2 in 2008 were not designed to look carefully at this outcome, Dr. O’Brien observed.
In all, 38 patients have died; 19 in each group.
*Correction 6/18/2015: The headline for an earlier version of this article misstated the type of cancer treated in this study.
VIENNA – Patients with chronic-phase chronic myeloid leukemia treated with first-line dasatinib achieved significantly more molecular responses at 2 years than those treated with imatinib in the SPIRIT 2 trial.
So far there is no difference, however, in disease progression or overall survival in the ongoing phase III trial, Dr. Stephen O’Brien reported at the annual congress of the European Hematology Association.
With 814 patients, SPIRIT 2 is the largest randomized trial of dasatinib (Sprycel) vs. imatinib (Gleevec).
Its design is similar to the ongoing 519-patient DASISION trial, which reported higher response rates with dasatinib than imatinib in the same setting, but similar progression-free and overall survival rates at 3-year follow-up.
The primary endpoint of SPIRIT 2 is event-free survival at 5 years and will be available in March 2018, he said. Patients at 172 hospitals in the United Kingdom were evenly randomized to imatinib 400 mg daily or dasatinib 100 mg daily. One patient in each group was excluded due to protocol violation or withdrawal of consent. Median follow-up is 42.4 months.
At 24 months, 60.6% of imatinib patients (246/406) and 71.4% of dasatinib patients (290/406) remained on treatment.
Significantly more patients treated with dasatinib than imatinib achieved a complete cytogenetic response at 12 months (53.3% vs. 42%; P = .003), but the difference was diminished at 24 months (33.7% vs. 27.5%; P = .189). These results should be interpreted with caution, however, because the data were incomplete, Dr. O’Brien, of Newcastle University Medical School, Newcastle upon Tyne, England, said.
He noted that the molecular data are more reliable and were calculated based on samples drawn within a 6-week window on either side of the 24-month time point. Values had to be imputed for 22 patients who had no 24-month sample taken, although this imputation should not impact survival outcomes, he said. Major molecular response was defined as a 3-log reduction in the BCR-ABL/ABL ratio, relative to baseline, with data also captured for patients achieving a 4-log reduction.
Significantly more patients on dasatinib than imatinib achieved an MR3 response (57.5% vs. 46%; P < .001) and MR4.5 response (20.2% vs. 14.3%; P = .026).
More patients stopped imatinib than dasatinib due to investigator and/or patient concerns about inadequate response (10.8% vs. 1.3%), whereas nonhematologic toxicities drove more patients to abandon dasatinib (22% vs. 12%), according to Dr. O’Brien.
Pleural effusion, a known toxicity with dasatinib, occurred in 24.1% of patients given the drug vs. 1.2% given imatinib, requiring drainage in 22 cases vs. 1 case, respectively. There was also a “difficult-to-explain” signal for breathlessness with no obvious cause (15.5% vs. 8%). Hypertension was confirmed in only one of these cases and symptoms resolved in others when the drug was withdrawn, he said.
Serious cardiac adverse events were reported in 2.2% of patients in the imatinib arm and 4.2% in the dasatinib arm. Again, the results should be interpreted with caution because trials set up at the time of SPIRIT2 in 2008 were not designed to look carefully at this outcome, Dr. O’Brien observed.
In all, 38 patients have died; 19 in each group.
*Correction 6/18/2015: The headline for an earlier version of this article misstated the type of cancer treated in this study.
VIENNA – Patients with chronic-phase chronic myeloid leukemia treated with first-line dasatinib achieved significantly more molecular responses at 2 years than those treated with imatinib in the SPIRIT 2 trial.
So far there is no difference, however, in disease progression or overall survival in the ongoing phase III trial, Dr. Stephen O’Brien reported at the annual congress of the European Hematology Association.
With 814 patients, SPIRIT 2 is the largest randomized trial of dasatinib (Sprycel) vs. imatinib (Gleevec).
Its design is similar to the ongoing 519-patient DASISION trial, which reported higher response rates with dasatinib than imatinib in the same setting, but similar progression-free and overall survival rates at 3-year follow-up.
The primary endpoint of SPIRIT 2 is event-free survival at 5 years and will be available in March 2018, he said. Patients at 172 hospitals in the United Kingdom were evenly randomized to imatinib 400 mg daily or dasatinib 100 mg daily. One patient in each group was excluded due to protocol violation or withdrawal of consent. Median follow-up is 42.4 months.
At 24 months, 60.6% of imatinib patients (246/406) and 71.4% of dasatinib patients (290/406) remained on treatment.
Significantly more patients treated with dasatinib than imatinib achieved a complete cytogenetic response at 12 months (53.3% vs. 42%; P = .003), but the difference was diminished at 24 months (33.7% vs. 27.5%; P = .189). These results should be interpreted with caution, however, because the data were incomplete, Dr. O’Brien, of Newcastle University Medical School, Newcastle upon Tyne, England, said.
He noted that the molecular data are more reliable and were calculated based on samples drawn within a 6-week window on either side of the 24-month time point. Values had to be imputed for 22 patients who had no 24-month sample taken, although this imputation should not impact survival outcomes, he said. Major molecular response was defined as a 3-log reduction in the BCR-ABL/ABL ratio, relative to baseline, with data also captured for patients achieving a 4-log reduction.
Significantly more patients on dasatinib than imatinib achieved an MR3 response (57.5% vs. 46%; P < .001) and MR4.5 response (20.2% vs. 14.3%; P = .026).
More patients stopped imatinib than dasatinib due to investigator and/or patient concerns about inadequate response (10.8% vs. 1.3%), whereas nonhematologic toxicities drove more patients to abandon dasatinib (22% vs. 12%), according to Dr. O’Brien.
Pleural effusion, a known toxicity with dasatinib, occurred in 24.1% of patients given the drug vs. 1.2% given imatinib, requiring drainage in 22 cases vs. 1 case, respectively. There was also a “difficult-to-explain” signal for breathlessness with no obvious cause (15.5% vs. 8%). Hypertension was confirmed in only one of these cases and symptoms resolved in others when the drug was withdrawn, he said.
Serious cardiac adverse events were reported in 2.2% of patients in the imatinib arm and 4.2% in the dasatinib arm. Again, the results should be interpreted with caution because trials set up at the time of SPIRIT2 in 2008 were not designed to look carefully at this outcome, Dr. O’Brien observed.
In all, 38 patients have died; 19 in each group.
*Correction 6/18/2015: The headline for an earlier version of this article misstated the type of cancer treated in this study.
AT THE EHA CONGRESS
Key clinical point: Dasatinib provides more molecular responses than imatinib, but no survival advantage at 2 years in the first-line treatment of chronic-phase chronic myeloid leukemia.
Major finding: More patients receiving dasatinib than imatinib achieved an MR3 response (57.5% vs. 46%; P < .001) and MR4.5 response (20.2% vs. 6%; P = .02).
Data source: Randomized, phase III trial in 814 patients with newly diagnosed chronic myeloid leukemia in chronic phase.
Disclosures: Bristol-Myers Squibb sponsored the study. Dr. O’Brien reported honoraria and research funding from Ariad Pharmaceuticals, Bristol-Myers Squibb, Novartis, and Pfizer.
Viral protein protects EBV-infected B cells
expresses the ligand (red)
that activates NKG2D, while
uninfected cells (blue) do not
Benjamin Chaigne-Delalande
A study published in PLOS Pathogens sheds new light on why the immune system cannot eliminate Epstein-Barr virus (EBV) or the risk of cancer associated with the virus.
Researchers investigated the immune system’s response against EBV, focusing on the role of LMP2A.
This viral protein is present in latently infected B cells and in many EBV-associated cancers, which have somehow escaped detection and elimination by the immune system.
Andreas Moosmann, PhD, of the Helmholtz-Zentrum in Munich, Germany, and his colleagues studied an engineered EBV virus that cannot make LMP2A and compared this mutant virus with the normal one.
The researchers infected human B cells with normal and LMP2A-deficient EBV. Because EBV transforms these cells, the team was able to examine lymphoblastic cell lines that contained either virus.
They found that LMP2A counteracts the recognition of EBV-infected B cells by EBV-specific, CD8+ killer T cells. In contrast, EBV-transformed cells without LMP2A are more efficiently identified, and the T cells’ ability to recognize and kill the EBV-infected B cells is enhanced.
The researchers examined the mechanism underlying the LMP2A-mediated evasion and found several ways in which it interferes with the recognition of EBV-infected cells.
First, LMP2A reduced the levels of several EBV proteins whose fragments are recognized by CD8+ T cells on the surface of the cell targeted for killing.
Second, LMP2A disturbs the expression of cellular molecules on infected B cells that interact with NKG2D, a host molecule on the surface of CD8+ T cells that aids their activation, thereby weakening the immune response against EBV-infected cells.
The researchers said these results suggest a functional immunomodulatory effect for the EBV protein LMP2A and show that LMP2A mediates the partial escape of infected B cells from recognition by CD8+ T cells.
The team also said similar immune evasion mechanisms may operate in different types of LMP2A-expressing cancers caused by EBV.
expresses the ligand (red)
that activates NKG2D, while
uninfected cells (blue) do not
Benjamin Chaigne-Delalande
A study published in PLOS Pathogens sheds new light on why the immune system cannot eliminate Epstein-Barr virus (EBV) or the risk of cancer associated with the virus.
Researchers investigated the immune system’s response against EBV, focusing on the role of LMP2A.
This viral protein is present in latently infected B cells and in many EBV-associated cancers, which have somehow escaped detection and elimination by the immune system.
Andreas Moosmann, PhD, of the Helmholtz-Zentrum in Munich, Germany, and his colleagues studied an engineered EBV virus that cannot make LMP2A and compared this mutant virus with the normal one.
The researchers infected human B cells with normal and LMP2A-deficient EBV. Because EBV transforms these cells, the team was able to examine lymphoblastic cell lines that contained either virus.
They found that LMP2A counteracts the recognition of EBV-infected B cells by EBV-specific, CD8+ killer T cells. In contrast, EBV-transformed cells without LMP2A are more efficiently identified, and the T cells’ ability to recognize and kill the EBV-infected B cells is enhanced.
The researchers examined the mechanism underlying the LMP2A-mediated evasion and found several ways in which it interferes with the recognition of EBV-infected cells.
First, LMP2A reduced the levels of several EBV proteins whose fragments are recognized by CD8+ T cells on the surface of the cell targeted for killing.
Second, LMP2A disturbs the expression of cellular molecules on infected B cells that interact with NKG2D, a host molecule on the surface of CD8+ T cells that aids their activation, thereby weakening the immune response against EBV-infected cells.
The researchers said these results suggest a functional immunomodulatory effect for the EBV protein LMP2A and show that LMP2A mediates the partial escape of infected B cells from recognition by CD8+ T cells.
The team also said similar immune evasion mechanisms may operate in different types of LMP2A-expressing cancers caused by EBV.
expresses the ligand (red)
that activates NKG2D, while
uninfected cells (blue) do not
Benjamin Chaigne-Delalande
A study published in PLOS Pathogens sheds new light on why the immune system cannot eliminate Epstein-Barr virus (EBV) or the risk of cancer associated with the virus.
Researchers investigated the immune system’s response against EBV, focusing on the role of LMP2A.
This viral protein is present in latently infected B cells and in many EBV-associated cancers, which have somehow escaped detection and elimination by the immune system.
Andreas Moosmann, PhD, of the Helmholtz-Zentrum in Munich, Germany, and his colleagues studied an engineered EBV virus that cannot make LMP2A and compared this mutant virus with the normal one.
The researchers infected human B cells with normal and LMP2A-deficient EBV. Because EBV transforms these cells, the team was able to examine lymphoblastic cell lines that contained either virus.
They found that LMP2A counteracts the recognition of EBV-infected B cells by EBV-specific, CD8+ killer T cells. In contrast, EBV-transformed cells without LMP2A are more efficiently identified, and the T cells’ ability to recognize and kill the EBV-infected B cells is enhanced.
The researchers examined the mechanism underlying the LMP2A-mediated evasion and found several ways in which it interferes with the recognition of EBV-infected cells.
First, LMP2A reduced the levels of several EBV proteins whose fragments are recognized by CD8+ T cells on the surface of the cell targeted for killing.
Second, LMP2A disturbs the expression of cellular molecules on infected B cells that interact with NKG2D, a host molecule on the surface of CD8+ T cells that aids their activation, thereby weakening the immune response against EBV-infected cells.
The researchers said these results suggest a functional immunomodulatory effect for the EBV protein LMP2A and show that LMP2A mediates the partial escape of infected B cells from recognition by CD8+ T cells.
The team also said similar immune evasion mechanisms may operate in different types of LMP2A-expressing cancers caused by EBV.
DDW: Early ERCP reduces LOS, costs of acute pancreatitis without cholangitis
WASHINGTON – When it’s given early in the course of treatment for patients who have acute pancreatitis and biliary obstruction without cholangitis, endoscopic retrograde cholangiopancreatography (ECRP) is associated with shorter lengths of stay, reductions in infectious complications, and substantially lower costs.
In more than 10,000 hospitalizations related to acute pancreatitis with choledocholithiasis/biliary obstruction with cholangitis, ECRP performed on the day of admission or the next day was associated with a significantly lower risk for septicemia than ECRP performed after the first full day of hospitalization, and hospitalization costs were nearly $20,000 lower when the procedure was done early in the course of care, reported Dr. Raxitkimar Jinjuvadia from the Henry Ford Hospital in Detroit.
“Even though the inpatient mortality did not differ among the early and late groups, early ERCP has significant other benefits in reducing health care resources utilization,” he said at the annual Digestive Disease Week.
The study’s use of a large, nationally representative hospital sample supports and adds weight to current guidelines on the use of ERCP from the American Society for Gastrointestinal Endoscopy (ASGE).
“We suggest that early ERCP should be encouraged for patients with acute biliary pancreatitis with biliary obstruction and without cholangitis,” he stated.
The investigators took a retrospective stroll through data from the National Inpatient Sample (NIS) database for the year 2011. From among approximately 8 million hospitalizations in about 1000 hospitals in the United States, they identified patients who presented with acute pancreatitis, choledocholithiasis, biliary obstruction, and cholangitis, as determined by International Classification of Disease, 9th Revision (ICD-9) codes.
The cohort included 10,364 hospitalizations related to acute pancreatitis with choledocholithiasis/biliary obstruction without cholangitis. The mean age of patients was 57.2 years, 66.4% were white and 62.2% were female. In all, 58.9% of patients underwent ERCP at some point during their hospitalizations, with 48.6% receiving it early (day 0 or day 1).
Patients who had ERCP had a significantly lower rate of inpatient deaths compared with those who did not have the procedure (0.5% vs, 1.7%, P < .001), but the timing of the procedure, the primary endpoint, did not make a difference in in-hospital mortality.
However, when the authors looked at secondary outcomes, they found that early ERCP was associated with significantly lower rates of septicemia (4.0% vs 7.2%, P < .001), shorter mean length of stay (5.2 vs. 8.0 days, P < .001) and lower costs ($52,400 vs $71,736, P <. 001).
In multivariable modeling adjusted for age, sex, race and Elixhauser comorbidities, independent risk factors for in-hospital mortality were age (adjusted odds ratio [aOR], 1.04, 95% confidence interval [CI] 1.03-1.06), Elixhauser comorbidities (aOR 1.17, 95% CI, 1.06-1.29), ERCP during hospitalization (aOR 0.30, 95% CI 0.19-0.47), and septicemia (aOR 13.5, 95% CI, 8.75-20.75).
As noted before, early ERCP was not an independent risk factor for inpatient mortality.
Dr. Jinjuvadia said that the study was limited by potential biases related to ICD-9 coding; the lack of lab values, imaging, or treatment data; and the fact that the database does not include data from Veterans Affairs hospitals.
WASHINGTON – When it’s given early in the course of treatment for patients who have acute pancreatitis and biliary obstruction without cholangitis, endoscopic retrograde cholangiopancreatography (ECRP) is associated with shorter lengths of stay, reductions in infectious complications, and substantially lower costs.
In more than 10,000 hospitalizations related to acute pancreatitis with choledocholithiasis/biliary obstruction with cholangitis, ECRP performed on the day of admission or the next day was associated with a significantly lower risk for septicemia than ECRP performed after the first full day of hospitalization, and hospitalization costs were nearly $20,000 lower when the procedure was done early in the course of care, reported Dr. Raxitkimar Jinjuvadia from the Henry Ford Hospital in Detroit.
“Even though the inpatient mortality did not differ among the early and late groups, early ERCP has significant other benefits in reducing health care resources utilization,” he said at the annual Digestive Disease Week.
The study’s use of a large, nationally representative hospital sample supports and adds weight to current guidelines on the use of ERCP from the American Society for Gastrointestinal Endoscopy (ASGE).
“We suggest that early ERCP should be encouraged for patients with acute biliary pancreatitis with biliary obstruction and without cholangitis,” he stated.
The investigators took a retrospective stroll through data from the National Inpatient Sample (NIS) database for the year 2011. From among approximately 8 million hospitalizations in about 1000 hospitals in the United States, they identified patients who presented with acute pancreatitis, choledocholithiasis, biliary obstruction, and cholangitis, as determined by International Classification of Disease, 9th Revision (ICD-9) codes.
The cohort included 10,364 hospitalizations related to acute pancreatitis with choledocholithiasis/biliary obstruction without cholangitis. The mean age of patients was 57.2 years, 66.4% were white and 62.2% were female. In all, 58.9% of patients underwent ERCP at some point during their hospitalizations, with 48.6% receiving it early (day 0 or day 1).
Patients who had ERCP had a significantly lower rate of inpatient deaths compared with those who did not have the procedure (0.5% vs, 1.7%, P < .001), but the timing of the procedure, the primary endpoint, did not make a difference in in-hospital mortality.
However, when the authors looked at secondary outcomes, they found that early ERCP was associated with significantly lower rates of septicemia (4.0% vs 7.2%, P < .001), shorter mean length of stay (5.2 vs. 8.0 days, P < .001) and lower costs ($52,400 vs $71,736, P <. 001).
In multivariable modeling adjusted for age, sex, race and Elixhauser comorbidities, independent risk factors for in-hospital mortality were age (adjusted odds ratio [aOR], 1.04, 95% confidence interval [CI] 1.03-1.06), Elixhauser comorbidities (aOR 1.17, 95% CI, 1.06-1.29), ERCP during hospitalization (aOR 0.30, 95% CI 0.19-0.47), and septicemia (aOR 13.5, 95% CI, 8.75-20.75).
As noted before, early ERCP was not an independent risk factor for inpatient mortality.
Dr. Jinjuvadia said that the study was limited by potential biases related to ICD-9 coding; the lack of lab values, imaging, or treatment data; and the fact that the database does not include data from Veterans Affairs hospitals.
WASHINGTON – When it’s given early in the course of treatment for patients who have acute pancreatitis and biliary obstruction without cholangitis, endoscopic retrograde cholangiopancreatography (ECRP) is associated with shorter lengths of stay, reductions in infectious complications, and substantially lower costs.
In more than 10,000 hospitalizations related to acute pancreatitis with choledocholithiasis/biliary obstruction with cholangitis, ECRP performed on the day of admission or the next day was associated with a significantly lower risk for septicemia than ECRP performed after the first full day of hospitalization, and hospitalization costs were nearly $20,000 lower when the procedure was done early in the course of care, reported Dr. Raxitkimar Jinjuvadia from the Henry Ford Hospital in Detroit.
“Even though the inpatient mortality did not differ among the early and late groups, early ERCP has significant other benefits in reducing health care resources utilization,” he said at the annual Digestive Disease Week.
The study’s use of a large, nationally representative hospital sample supports and adds weight to current guidelines on the use of ERCP from the American Society for Gastrointestinal Endoscopy (ASGE).
“We suggest that early ERCP should be encouraged for patients with acute biliary pancreatitis with biliary obstruction and without cholangitis,” he stated.
The investigators took a retrospective stroll through data from the National Inpatient Sample (NIS) database for the year 2011. From among approximately 8 million hospitalizations in about 1000 hospitals in the United States, they identified patients who presented with acute pancreatitis, choledocholithiasis, biliary obstruction, and cholangitis, as determined by International Classification of Disease, 9th Revision (ICD-9) codes.
The cohort included 10,364 hospitalizations related to acute pancreatitis with choledocholithiasis/biliary obstruction without cholangitis. The mean age of patients was 57.2 years, 66.4% were white and 62.2% were female. In all, 58.9% of patients underwent ERCP at some point during their hospitalizations, with 48.6% receiving it early (day 0 or day 1).
Patients who had ERCP had a significantly lower rate of inpatient deaths compared with those who did not have the procedure (0.5% vs, 1.7%, P < .001), but the timing of the procedure, the primary endpoint, did not make a difference in in-hospital mortality.
However, when the authors looked at secondary outcomes, they found that early ERCP was associated with significantly lower rates of septicemia (4.0% vs 7.2%, P < .001), shorter mean length of stay (5.2 vs. 8.0 days, P < .001) and lower costs ($52,400 vs $71,736, P <. 001).
In multivariable modeling adjusted for age, sex, race and Elixhauser comorbidities, independent risk factors for in-hospital mortality were age (adjusted odds ratio [aOR], 1.04, 95% confidence interval [CI] 1.03-1.06), Elixhauser comorbidities (aOR 1.17, 95% CI, 1.06-1.29), ERCP during hospitalization (aOR 0.30, 95% CI 0.19-0.47), and septicemia (aOR 13.5, 95% CI, 8.75-20.75).
As noted before, early ERCP was not an independent risk factor for inpatient mortality.
Dr. Jinjuvadia said that the study was limited by potential biases related to ICD-9 coding; the lack of lab values, imaging, or treatment data; and the fact that the database does not include data from Veterans Affairs hospitals.
AT DDW® 2015
Key clinical point: ECRP early in the course of hospitalization reduced adverse events, length of stay, and costs.
Major finding: For patients with acute pancreatitis with biliary obstruction without cholangitis, early ERCP was associated with a 4.0% rate of septicemia, compared with 7.2% for ERCP after the first day.
Data source: Retrospective review of inpatient data on 10,364 hospitalizations.
Disclosures: The study funding source was not disclosed. Dr. Jinjuvadia reported having no relevant disclosures.
Panobinostat combos can treat rel/ref MM
©ASCO/Rodney White
CHICAGO—Combination regimens including the histone deacetylase inhibitor panobinostat can produce durable responses and prolong progression-free survival (PFS) in patients with relapsed/refractory multiple myeloma (MM), according to research presented at the 2015 ASCO Annual Meeting.
In a phase 2 trial, panobinostat plus lenalidomide and dexamethasone produced durable responses, even in high-risk, lenalidomide-refractory MM patients.
In a phase 3 trial, panobinostat in combination with bortezomib and dexamethasone led to a 7.8-month improvement in median PFS over placebo-bortezomib-dexamethasone in patients with relapsed or relapsed and refractory MM who had received 2 or more prior regimens.
Both studies were sponsored by Novartis, the company developing panobinostat.
PANORAMA-1 substudy
PANORAMA-1 was a phase 3, randomized, double-blind, placebo-controlled trial of 768 MM patients. Overall, panobinostat in combination with bortezomib and dexamethasone led to a clinically relevant and statistically significant increase in PFS of about 4 months compared to placebo-bortezomib-dexamethasone.
At ASCO, Jesús San Miguel, MD, of Clínica Universidad de Navarra in Pamplona, Spain, presented the results of an exploratory analysis of 147 patients in this trial (abstract 8526*).
The patients had relapsed or relapsed and refractory MM and had received 2 or more prior regimens, including bortezomib and an immunomodulatory agent (IMiD).
Disease and treatment characteristics were as follows:
| Panobinostat
(n=73) |
Placebo (n=74) | |
| Disease
characteristics, n (%) |
||
| Relapsed | 39 (53) | 30 (41) |
| Relapsed/refractory | 34 (47) | 43 (58) |
| Prior
therapies, n (%) |
||
| Bortezomib | 73 (100) | 74 (100) |
| Lenalidomide | 28 (38) | 37 (50) |
| Thalidomide | 63 (86) | 50 (68) |
| Bortezomib
+ lenalidomide |
28 (38) | 37 (50) |
| Bortezomib
+ dexamethasone |
69 (95) | 74 (100) |
| Prior
autologous transplant, n (%) |
54 (74) | 47 (64) |
| Median
prior lines of therapy (range) |
3 (2-4) | 3 (2-3) |
The median PFS was 12.5 months in the panobinostat arm, compared to 4.7 months in the placebo arm. Treatment with panobinostat also led to an increase in complete/near complete response rates (21.9% vs 8.1%) and overall response rate (58.9% vs 39.2%).
Common grade 3/4 non-hematologic adverse events in the panobinostat arm and placebo arm, respectively, included diarrhea (33.3% vs 15.1%), asthenia/fatigue (26.4% vs 13.7%), and peripheral neuropathy (16.7% vs 6.8%).
The most common grade 3/4 hematologic abnormalities in the panobinostat arm and placebo arm, respectively, were thrombocytopenia (68.1% vs 44.4%), lymphopenia (48.6% vs 49.3%), and neutropenia (40.3% vs 16.4%).
The percentage of on-treatment deaths was similar between the treatment arms (6.9% vs 6.8%).
“These data provide physicians with a better understanding of the clinical use of panobinostat, an HDAC inhibitor, a promising new drug class for this difficult-to-treat patient population with a high unmet need,” Dr San Miguel said.
Phase 2 trial
Ajai Chari, MD, of Mount Sinai Medical Center in New York, presented the results of a phase 2 study of panobinostat with lenalidomide and weekly dexamethasone in patients with relapsed/refractory MM (abstract 8528*).
There were 20 evaluable patients with a median age of 64 (range, 51-75). They had received a median of 3 prior therapies (range, 1-10). Prior regimens were as follows:
| Prior
therapy |
Exposed/Refractory, n (%) |
| Dexamethasone | 20 (100)/9
(45) |
| Thalidomide | 6 (30)/2
(10) |
| Lenalidomide |
20 (100)/15 (75) |
| Pomalidomide | 7 (35)/7
(35) |
| Bortezomib | 20 (100)/9
(45) |
| Carfilzomib | 6 (30)/6
(30) |
| Autologous
transplant |
15 (75) |
For this study, patients received panobinostat (20 mg on days 1, 3, 5, 15, 17, and 19), lenalidomide (25 mg on days 1-21), and dexamethasone (40 mg on days 1, 8, and 15).
The overall response rate was 45%. This included 1 complete response, 3 very good partial responses, 5 partial responses, and 8 minimal responses. Two patients had stable disease, and 1 progressed.
Among lenalidomide-refractory patients (n=16), the overall response rate was 38%. This included 3 very good partial responses, 3 partial responses, and 7 minimal responses. Two patients had stable disease, and 1 progressed.
The median PFS was 6.5 months overall and among lenalidomide-refractory patients.
Grade 3/4 toxicities were primarily hematologic, including neutropenia (55%), thrombocytopenia (40%), and anemia (5%). Grade 3/4 non-hematologic adverse events included infections (n=4), diarrhea (n=3), pulmonary emboli (n=2), neck pain (n=1), QTc prolongation (n=1), fatigue (n=1), and weight loss (n=1).
“In relapsed/refractory MM patients, panobinostat in combination with lenalidomide and dexamethasone demonstrated durable responses comparable to other recently approved agents, even in lenalidomide-refractory patients with high-risk molecular findings,” Dr Chari said.
“In notable contrast to PANORAMA-1 results, this completely oral regimen is well-tolerated, with no grade 3/4 [gastrointestinal] toxicities and primarily expected hematologic toxicities.”
*Information in the abstract differs from that presented at the meeting.
©ASCO/Rodney White
CHICAGO—Combination regimens including the histone deacetylase inhibitor panobinostat can produce durable responses and prolong progression-free survival (PFS) in patients with relapsed/refractory multiple myeloma (MM), according to research presented at the 2015 ASCO Annual Meeting.
In a phase 2 trial, panobinostat plus lenalidomide and dexamethasone produced durable responses, even in high-risk, lenalidomide-refractory MM patients.
In a phase 3 trial, panobinostat in combination with bortezomib and dexamethasone led to a 7.8-month improvement in median PFS over placebo-bortezomib-dexamethasone in patients with relapsed or relapsed and refractory MM who had received 2 or more prior regimens.
Both studies were sponsored by Novartis, the company developing panobinostat.
PANORAMA-1 substudy
PANORAMA-1 was a phase 3, randomized, double-blind, placebo-controlled trial of 768 MM patients. Overall, panobinostat in combination with bortezomib and dexamethasone led to a clinically relevant and statistically significant increase in PFS of about 4 months compared to placebo-bortezomib-dexamethasone.
At ASCO, Jesús San Miguel, MD, of Clínica Universidad de Navarra in Pamplona, Spain, presented the results of an exploratory analysis of 147 patients in this trial (abstract 8526*).
The patients had relapsed or relapsed and refractory MM and had received 2 or more prior regimens, including bortezomib and an immunomodulatory agent (IMiD).
Disease and treatment characteristics were as follows:
| Panobinostat
(n=73) |
Placebo (n=74) | |
| Disease
characteristics, n (%) |
||
| Relapsed | 39 (53) | 30 (41) |
| Relapsed/refractory | 34 (47) | 43 (58) |
| Prior
therapies, n (%) |
||
| Bortezomib | 73 (100) | 74 (100) |
| Lenalidomide | 28 (38) | 37 (50) |
| Thalidomide | 63 (86) | 50 (68) |
| Bortezomib
+ lenalidomide |
28 (38) | 37 (50) |
| Bortezomib
+ dexamethasone |
69 (95) | 74 (100) |
| Prior
autologous transplant, n (%) |
54 (74) | 47 (64) |
| Median
prior lines of therapy (range) |
3 (2-4) | 3 (2-3) |
The median PFS was 12.5 months in the panobinostat arm, compared to 4.7 months in the placebo arm. Treatment with panobinostat also led to an increase in complete/near complete response rates (21.9% vs 8.1%) and overall response rate (58.9% vs 39.2%).
Common grade 3/4 non-hematologic adverse events in the panobinostat arm and placebo arm, respectively, included diarrhea (33.3% vs 15.1%), asthenia/fatigue (26.4% vs 13.7%), and peripheral neuropathy (16.7% vs 6.8%).
The most common grade 3/4 hematologic abnormalities in the panobinostat arm and placebo arm, respectively, were thrombocytopenia (68.1% vs 44.4%), lymphopenia (48.6% vs 49.3%), and neutropenia (40.3% vs 16.4%).
The percentage of on-treatment deaths was similar between the treatment arms (6.9% vs 6.8%).
“These data provide physicians with a better understanding of the clinical use of panobinostat, an HDAC inhibitor, a promising new drug class for this difficult-to-treat patient population with a high unmet need,” Dr San Miguel said.
Phase 2 trial
Ajai Chari, MD, of Mount Sinai Medical Center in New York, presented the results of a phase 2 study of panobinostat with lenalidomide and weekly dexamethasone in patients with relapsed/refractory MM (abstract 8528*).
There were 20 evaluable patients with a median age of 64 (range, 51-75). They had received a median of 3 prior therapies (range, 1-10). Prior regimens were as follows:
| Prior
therapy |
Exposed/Refractory, n (%) |
| Dexamethasone | 20 (100)/9
(45) |
| Thalidomide | 6 (30)/2
(10) |
| Lenalidomide |
20 (100)/15 (75) |
| Pomalidomide | 7 (35)/7
(35) |
| Bortezomib | 20 (100)/9
(45) |
| Carfilzomib | 6 (30)/6
(30) |
| Autologous
transplant |
15 (75) |
For this study, patients received panobinostat (20 mg on days 1, 3, 5, 15, 17, and 19), lenalidomide (25 mg on days 1-21), and dexamethasone (40 mg on days 1, 8, and 15).
The overall response rate was 45%. This included 1 complete response, 3 very good partial responses, 5 partial responses, and 8 minimal responses. Two patients had stable disease, and 1 progressed.
Among lenalidomide-refractory patients (n=16), the overall response rate was 38%. This included 3 very good partial responses, 3 partial responses, and 7 minimal responses. Two patients had stable disease, and 1 progressed.
The median PFS was 6.5 months overall and among lenalidomide-refractory patients.
Grade 3/4 toxicities were primarily hematologic, including neutropenia (55%), thrombocytopenia (40%), and anemia (5%). Grade 3/4 non-hematologic adverse events included infections (n=4), diarrhea (n=3), pulmonary emboli (n=2), neck pain (n=1), QTc prolongation (n=1), fatigue (n=1), and weight loss (n=1).
“In relapsed/refractory MM patients, panobinostat in combination with lenalidomide and dexamethasone demonstrated durable responses comparable to other recently approved agents, even in lenalidomide-refractory patients with high-risk molecular findings,” Dr Chari said.
“In notable contrast to PANORAMA-1 results, this completely oral regimen is well-tolerated, with no grade 3/4 [gastrointestinal] toxicities and primarily expected hematologic toxicities.”
*Information in the abstract differs from that presented at the meeting.
©ASCO/Rodney White
CHICAGO—Combination regimens including the histone deacetylase inhibitor panobinostat can produce durable responses and prolong progression-free survival (PFS) in patients with relapsed/refractory multiple myeloma (MM), according to research presented at the 2015 ASCO Annual Meeting.
In a phase 2 trial, panobinostat plus lenalidomide and dexamethasone produced durable responses, even in high-risk, lenalidomide-refractory MM patients.
In a phase 3 trial, panobinostat in combination with bortezomib and dexamethasone led to a 7.8-month improvement in median PFS over placebo-bortezomib-dexamethasone in patients with relapsed or relapsed and refractory MM who had received 2 or more prior regimens.
Both studies were sponsored by Novartis, the company developing panobinostat.
PANORAMA-1 substudy
PANORAMA-1 was a phase 3, randomized, double-blind, placebo-controlled trial of 768 MM patients. Overall, panobinostat in combination with bortezomib and dexamethasone led to a clinically relevant and statistically significant increase in PFS of about 4 months compared to placebo-bortezomib-dexamethasone.
At ASCO, Jesús San Miguel, MD, of Clínica Universidad de Navarra in Pamplona, Spain, presented the results of an exploratory analysis of 147 patients in this trial (abstract 8526*).
The patients had relapsed or relapsed and refractory MM and had received 2 or more prior regimens, including bortezomib and an immunomodulatory agent (IMiD).
Disease and treatment characteristics were as follows:
| Panobinostat
(n=73) |
Placebo (n=74) | |
| Disease
characteristics, n (%) |
||
| Relapsed | 39 (53) | 30 (41) |
| Relapsed/refractory | 34 (47) | 43 (58) |
| Prior
therapies, n (%) |
||
| Bortezomib | 73 (100) | 74 (100) |
| Lenalidomide | 28 (38) | 37 (50) |
| Thalidomide | 63 (86) | 50 (68) |
| Bortezomib
+ lenalidomide |
28 (38) | 37 (50) |
| Bortezomib
+ dexamethasone |
69 (95) | 74 (100) |
| Prior
autologous transplant, n (%) |
54 (74) | 47 (64) |
| Median
prior lines of therapy (range) |
3 (2-4) | 3 (2-3) |
The median PFS was 12.5 months in the panobinostat arm, compared to 4.7 months in the placebo arm. Treatment with panobinostat also led to an increase in complete/near complete response rates (21.9% vs 8.1%) and overall response rate (58.9% vs 39.2%).
Common grade 3/4 non-hematologic adverse events in the panobinostat arm and placebo arm, respectively, included diarrhea (33.3% vs 15.1%), asthenia/fatigue (26.4% vs 13.7%), and peripheral neuropathy (16.7% vs 6.8%).
The most common grade 3/4 hematologic abnormalities in the panobinostat arm and placebo arm, respectively, were thrombocytopenia (68.1% vs 44.4%), lymphopenia (48.6% vs 49.3%), and neutropenia (40.3% vs 16.4%).
The percentage of on-treatment deaths was similar between the treatment arms (6.9% vs 6.8%).
“These data provide physicians with a better understanding of the clinical use of panobinostat, an HDAC inhibitor, a promising new drug class for this difficult-to-treat patient population with a high unmet need,” Dr San Miguel said.
Phase 2 trial
Ajai Chari, MD, of Mount Sinai Medical Center in New York, presented the results of a phase 2 study of panobinostat with lenalidomide and weekly dexamethasone in patients with relapsed/refractory MM (abstract 8528*).
There were 20 evaluable patients with a median age of 64 (range, 51-75). They had received a median of 3 prior therapies (range, 1-10). Prior regimens were as follows:
| Prior
therapy |
Exposed/Refractory, n (%) |
| Dexamethasone | 20 (100)/9
(45) |
| Thalidomide | 6 (30)/2
(10) |
| Lenalidomide |
20 (100)/15 (75) |
| Pomalidomide | 7 (35)/7
(35) |
| Bortezomib | 20 (100)/9
(45) |
| Carfilzomib | 6 (30)/6
(30) |
| Autologous
transplant |
15 (75) |
For this study, patients received panobinostat (20 mg on days 1, 3, 5, 15, 17, and 19), lenalidomide (25 mg on days 1-21), and dexamethasone (40 mg on days 1, 8, and 15).
The overall response rate was 45%. This included 1 complete response, 3 very good partial responses, 5 partial responses, and 8 minimal responses. Two patients had stable disease, and 1 progressed.
Among lenalidomide-refractory patients (n=16), the overall response rate was 38%. This included 3 very good partial responses, 3 partial responses, and 7 minimal responses. Two patients had stable disease, and 1 progressed.
The median PFS was 6.5 months overall and among lenalidomide-refractory patients.
Grade 3/4 toxicities were primarily hematologic, including neutropenia (55%), thrombocytopenia (40%), and anemia (5%). Grade 3/4 non-hematologic adverse events included infections (n=4), diarrhea (n=3), pulmonary emboli (n=2), neck pain (n=1), QTc prolongation (n=1), fatigue (n=1), and weight loss (n=1).
“In relapsed/refractory MM patients, panobinostat in combination with lenalidomide and dexamethasone demonstrated durable responses comparable to other recently approved agents, even in lenalidomide-refractory patients with high-risk molecular findings,” Dr Chari said.
“In notable contrast to PANORAMA-1 results, this completely oral regimen is well-tolerated, with no grade 3/4 [gastrointestinal] toxicities and primarily expected hematologic toxicities.”
*Information in the abstract differs from that presented at the meeting.
OSA and Outcomes in Ward Patients
Obstructive sleep apnea (OSA) is an increasingly prevalent condition characterized by intermittent airway obstruction during sleep, which leads to hypoxemia, hypercapnia, and fragmented sleep. The current prevalence estimates of moderate to severe OSA (apnea‐hypopnea index 15, measured as events/hour) in middle‐aged adults are approximately 13% in men and 6% in women.[1] OSA is a well‐described independent risk factor for long‐term neurocognitive, cardiovascular, and cerebrovascular morbidity and mortality.[2, 3, 4, 5, 6]
Recent studies have also identified OSA as an independent risk factor for adverse perioperative outcomes, including endotracheal intubation, intensive care unit (ICU) transfer, and increased length of stay.[7, 8, 9, 10, 11] Paradoxically, despite an increase in the risk of complications, several of these studies did not find an association between in‐hospital death and OSA even after controlling for potential confounders.[9, 10, 11] Furthermore, a recent study of patients hospitalized for pneumonia reported increased rates of clinical deterioration and mechanical ventilation, but also lower odds of inpatient mortality in patients with OSA.[12]
These studies may have been limited by the absence of physiologic data, which prevented controlling for severity of illness. It is also unclear whether these previously described associations between OSA and adverse clinical outcomes hold true for general hospital inpatients. OSA may be worsened by medications frequently used in hospitals, such as narcotics and benzodiazepines. Opiate use contributes to both central and obstructive sleep apneas,[13, 14] and benzodiazepines are known to produce airway smooth muscle relaxation and can cause respiratory depression.[15] In fact, the use of benzodiazepines has been implicated in the unmasking of OSA in patients with previously undiagnosed sleep‐disordered breathing.[16] These findings suggest mechanisms by which OSA could contribute to an increased risk in hospital ward patients for rapid response team (RRT) activation, ICU transfer, cardiac arrest, and in‐hospital death.
The aim of this study was to determine the independent association between OSA and in‐hospital mortality in ward patients. We also aimed to investigate the association of OSA with clinical deterioration on the wards, while controlling for patient characteristics, initial physiology, and severity of illness.
MATERIALS AND METHODS
Setting and Study Population
This observational cohort study was performed at an academic tertiary care medical center with approximately 500 beds. Data were obtained from all adult patients hospitalized on the wards between November 1, 2008 and October 1, 2013. Our hospital has utilized an RRT, led by a critical care nurse and respiratory therapist with hospitalist and pharmacist consultation available upon request, since 2008. This team is separate from the team that responds to a cardiac arrest. Criteria for RRT activation include tachypnea, tachycardia, hypotension, and staff worry, but specific vital sign thresholds are not specified.
The study analyzed deidentified data from the hospital's Clinical Research Data Warehouse, which is maintained by the Center for Research Informatics at The University of Chicago. The study protocol was approved by the University of Chicago Institutional Review Board (IRB #16995A).
Data Collection
Patient age, sex, race, body mass index (BMI), and location prior to ward admission (ie, whether they were admitted from the emergency department, transferred from the ICU, or directly admitted from clinic or home) were collected. Patients who underwent surgery during their admission were identified using the hospital's admission‐transfer‐discharge database. In addition, routinely collected vital signs (eg, respiratory rate, blood pressure, heart rate) were obtained from the electronic health record (Epic, Verona, WI). To determine severity of illness, the first set of vital signs measured on hospital presentation were utilized to calculate the cardiac arrest risk triage (CART) score, a vital‐signbased early warning score we previously developed and validated for predicting adverse events in our population.[17] The CART score ranges from 0 to 57, with points assigned for abnormalities in respiratory rate, heart rate, diastolic blood pressure, and age. If any vital sign was missing, the next available measurement was pulled into the set. If any vital sign remained missing after this change, the median value for that particular location (ie, wards, ICU, or emergency department) was imputed as previously described.[18, 19]
Patients with OSA were identified by the following International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) codes using inpatient and outpatient medical records: 278.03, 327.20, 327.23, 327.29, 780.51, 780.53, and 780.57 (Table 1). Data on other patient comorbidities, including coronary artery disease, congestive heart failure, arrhythmias, uncomplicated and complicated diabetes mellitus, hypertension, and cerebrovascular disease were collected using specific ICD‐9‐CM codes from both inpatient and outpatient records. Information on insurance payer was also collected from the hospital's billing database. Insurance payers were grouped into the following categories: private payer, Medicare/Medicaid, and no insurance. Patients with both public and private payers were counted as being privately insured.
| Diagnosis Code | Description | % of Sleep Apnea Diagnosesa |
|---|---|---|
| ||
| 327.23 | Obstructive sleep apnea | 65.6 |
| 780.57 | Unspecified sleep apnea | 19.4 |
| 780.53 | Hypersomnia with sleep apnea, unspecified | 11.7 |
| 780.51 | Insomnia with sleep apnea, unspecified | 1.5 |
| 327.2 | Organic sleep apnea, unspecified | 0.2 |
| 278.03 | Obesity hypoventilation syndrome | 1.7 |
Outcomes
The primary outcome of the study was in‐hospital mortality. Secondary outcomes included length of stay, RRT activation, transfer to the ICU, endotracheal intubation, cardiac arrest (defined as a loss of pulse with attempted resuscitation) on the wards, and a composite outcome of RRT activation, ICU transfer, and death. Because cardiac arrests on the wards result either in death or ICU transfer following successful resuscitation, this variable was omitted from the composite outcome. Cardiac arrests were identified using a prospectively validated quality improvement database that has been described previously.[20] ICU transfer was identified using the hospital's admission‐transfer‐discharge database. Only the index cardiac arrest, intubation, RRT, or ICU transfer for each admission was used in the study, but more than 1 type of outcome could occur for each patient (eg, a patient who died following an unsuccessful resuscitation attempt would count as both a cardiac arrest and a death).
Statistical Analysis
Patient characteristics were compared using Student t tests, Wilcoxon rank sum tests, and 2 statistics, as appropriate. Unadjusted logistic regression models were fit to estimate the change in odds of each adverse event and a composite outcome of any event for patient admissions with OSA compared to those without OSA. Adjusted logistic regression models were then fit for each outcome to control for patient characteristics (age, sex, BMI, insurance status, and individual comorbidities), location immediately prior to ward admission, and admission severity of illness (as measured by CART score). In the adjusted model, CART score, age, and number of comorbidities were entered linearly, with the addition of squared terms for age and CART score, as these variables showed nonlinear associations with the outcomes of interest. Race, surgical status, insurance payer, location prior to ward, and BMI (underweight, <18.5 kg/m2; normal weight, 18.524.9 kg/m2; overweight, 25.029.9 kg/m2; obese, 3039.9 kg/m2; and severely obese, (40 kg/m2) were modeled as categorical variables.
Given that an individual patient could experience multiple hospitalizations during the study period, we performed a sensitivity analysis of all adjusted and unadjusted models using a single randomly selected hospitalization for each unique patient. In addition, we performed a sensitivity analysis of all patients who were not admitted to the ICU prior to their ward stay. Finally, we performed subgroup analyses of all unadjusted and adjusted models for each BMI category and surgical status.
All tests of significance used a 2‐sided P value <0.05. Statistical analyses were completed using Stata version 12.0 (StataCorp, College Station, TX).
RESULTS
Patient Characteristics
During the study period, 93,676 patient admissions from 53,150 unique patients resulted in the occurrence of 1,069 RRT activations, 6,305 ICU transfers, and 1,239 in‐hospital deaths. Within our sample, 40,034 patients had at least 1 inpatient record and at least 1 outpatient record. OSA diagnosis was present in 5,625 patients (10.6% of the total sample), with 4,748 patients having an OSA diagnosis code entered during a hospitalization, 2,143 with an OSA diagnosis code entered during an outpatient encounter, and 877 with both inpatient and outpatient diagnosis codes. These patients identified as having OSA contributed 12,745 (13.6%) hospital admissions.
Patients with an OSA diagnosis were more likely to be older (median age 59 years [interquartile range 4968] vs 55 years [3868]), male (49% vs 42%), overweight or obese (88% vs 62%), and more likely to carry diagnoses of diabetes (53.8% vs 25.5%), hypertension (45.3% vs 18.2%), arrhythmias (44.4% vs 26.7%), coronary artery disease (46.8% vs 23.5%), heart failure (35.8% vs 13.5%), and cerebrovascular disease (13.5% vs 8.1%) than patients without an OSA diagnosis (all comparisons significant, P < 0.001) (Table 2).
| Characteristic | Patient Admissions With OSA Diagnoses, n = 12,745 | Patient Admissions Without OSA Diagnoses, n = 80,931 | P Value |
|---|---|---|---|
| |||
| Age, y, median (IQR) | 59 (4968) | 55 (3868) | <0.001 |
| Female, n (%) | 6,514 (51%) | 47,202 (58%) | <0.001 |
| Race, n (%) | <0.001 | ||
| White | 4,205 (33%) | 30,119 (37%) | |
| Black/African American | 7,024 (55%) | 38,561 (48%) | |
| Asian | 561 (4.4%) | 3,419 (4.2%) | |
| American Indian or Native Alaskan | 20 (0.2%) | 113 (0.1%) | |
| More than 1 race | 127 (1%) | 843 (1%) | |
| Race unknown | 808 (6%) | 7,876 (10%) | |
| Insurance status, n (%) | <0.001 | ||
| Private | 4,484 (35%) | 32,467 (40%) | |
| Medicare/Medicaid | 8,201 (64%) | 42,208 (58%) | |
| Uninsured | 53 (0.4%) | 1,190 (1%) | |
| Unknown | 4 (<0.1%) | 16 (<0.1%) | |
| Location prior to wards, n (%) | <0.001 | ||
| ICU | 1,400 (11%) | 8,065 (10%) | |
| Emergency department | 4,633 (36%) | 25,170 (31%) | |
| Ambulatory admission | 6,712 (53%) | 47,696 (59%) | |
| Body mass index, kg/m2, n (%) | <0.001 | ||
| Normal (18.525) | 1,431 (11%) | 26,560 (33%) | |
| Underweight (<18.5) | 122 (1%) | 4,256 (5%) | |
| Overweight (2530) | 2,484 (20%) | 23,761 (29%) | |
| Obese (3040) | 4,959 (39%) | 19,132 (24%) | |
| Severely obese (40) | 3,745 (29%) | 7,171 (9%) | |
| Initial cardiac arrest risk triage score, median (IQR) | 4 (09) | 4 (09) | <0.001 |
| Underwent surgery, n (%) | 4,482 (35%) | 28,843 (36%) | 0.3 |
| Comorbidities | |||
| Number of comorbidities, median (IQR) | 2 (14) | 1 (02) | <0.001 |
| Arrhythmia | 5,659 (44%) | 21,581 (27%) | <0.001 |
| Diabetes mellitus | 6,855 (54%) | 20,641 (26%) | <0.001 |
| Hypertension | 5,777 (45%) | 14,728 (18%) | <0.001 |
| Coronary artery disease | 5,958 (47%) | 18,979 (23%) | <0.001 |
| Cerebrovascular accident | 1,725 (14%) | 6,556 (8%) | <0.001 |
| Congestive heart failure | 4,559 (36%) | 10,919 (13%) | <0.001 |
Complications and Adverse Outcomes
In the unadjusted analyses, the overall incidence of adverse outcomes was higher among patient admissions with a diagnosis of OSA compared to those without OSA (Table 3). Those with OSA were more likely to experience RRT activation (1.5% vs 1.1%), ICU transfer (8% vs 7%), and endotracheal intubation (3.9% vs 2.9%) than those without OSA diagnoses (P < 0.001 for all comparisons). There was no significant difference in the incidence of cardiac arrest between the 2 groups, nor was there a significant difference in length of stay. Unadjusted inpatient mortality for OSA patient admissions was lower than that for non‐OSA hospitalizations (1.1% vs 1.4%, P < 0.05). A diagnosis of OSA was associated with increased unadjusted odds for RRT activation (odds ratio [OR]: 1.36 [1.16‐1.59]) and ICU transfer (OR: 1.28 [1.20‐1.38]). However, after controlling for confounders, OSA was not associated with increased odds for RRT activation (OR: 1.14 [0.95‐1.36]) or intubation (OR: 1.06 [0.94‐1.19]), and was associated with slightly decreased odds for ICU transfer (OR: 0.91 [0.84‐0.99]) (Figure 1). Those with OSA had decreased adjusted odds of cardiac arrest (OR: 0.72 [0.55‐0.95]) compared to those without OSA. OSA was also associated with decreased odds of in‐hospital mortality before (OR: 0.83 [0.70‐0.99]) and after (OR: 0.70 [0.58‐0.85]) controlling for confounders.
| Characteristic | Patient Admissions With OSA Diagnoses, n = 12,745 | Patient Admissions Without OSA Diagnoses, n = 80,931 | P Value |
|---|---|---|---|
| |||
| Outcomes, n (%) | |||
| Composite outcomea | 1,137 (9%) | 5,792 (7%) | <0.001 |
| In‐hospital death | 144 (1.1%) | 1,095 (1.4%) | 0.04 |
| Rapid response team call | 188 (1.5%) | 881 (1.1%) | <0.001 |
| ICU transfer | 1,045 (8%) | 5,260 (7%) | <0.001 |
| Cardiac arrest | 413 (0.5%) | 73 (0.6%) | 0.36 |
Sensitivity Analyses
The sensitivity analysis involving 1 randomly selected hospitalization per patient included a total of 53,150 patients. The results were similar to the main analysis, with adjusted odds of 1.01 (0.77‐1.32) for RRT activation, 0.86 (0.76‐0.96) for ICU transfer, and 0.69 (0.53‐0.89) for inpatient mortality. An additional sensitivity analysis included only patients who were not admitted to the ICU prior to their ward stay. This analysis included 84,211 hospitalizations and demonstrated similar findings, with adjusted odds of 0.70 for in‐hospital mortality (0.57‐0.87). Adjusted odds for RRT activation (OR: 1.12 [0.92‐1.37]) and ICU transfer (OR: 0.88 [0.81‐0.96] were also similar to the results of our main analysis.
Subgroup Analyses
Surgical and Nonsurgical Patients
Subgroup analyses of surgical versus nonsurgical patients (Figure 2) revealed similarly decreased adjusted odds of in‐hospital death for OSA patients in both groups (surgical OR: 0.69 [0.49‐0.97]; nonsurgical OR: 0.72 [0.58‐0.91]). Surgical patients with OSA diagnoses had decreased adjusted odds for ICU transfer (surgical OR: 0.82 [0.73‐0.92], but this finding was not seen in nonsurgical patients (OR: 1.03 [0.92‐1.15]).
Patients Stratified by BMI
Examination across BMI categories (Figure 2) showed a significant decrease in adjusted odds of death for OSA patients with BMI 30 to 40 kg/m2 (OR: 0.60 [0.43‐0.84]). A nonsignificant decrease in adjusted odds of death was seen for OSA patients in all other groups. Adjusted odds ratios for the risk of RRT activation and ICU transfer in OSA patients within the different BMI categories were not statistically significant.
DISCUSSION
In this large observational single‐center cohort study, we found that OSA was associated with increased odds of adverse events, such as ICU transfers and RRT calls, but this risk was no longer present after adjusting for demographics, comorbidities, and presenting vital signs. Interestingly, we also found that patients with OSA had decreased adjusted odds for cardiac arrest and mortality. This mortality finding was robust to multiple sensitivity analyses and subgroup analyses. These results have significant implications for our understanding of the short‐term risks of sleep‐disordered breathing in hospitalized patients, and suggest the possibility that OSA is associated with a protective effect with regard to inpatient mortality.
Our findings are in line with other recent work in this area. In 2 large observational cohorts of surgical populations drawn from the nationally representative Nationwide Inpatient Sample administrative database, our group reported decreased odds of in‐hospital postoperative mortality in OSA patients.[10, 11] Using the same Nationwide Inpatient Sample, Lindenauer et al. showed that among inpatients hospitalized with pneumonia, OSA diagnosis was associated with increased rates of clinical deterioration but lower rates of inpatient mortality.[12] Although these 3 studies have identified decreased inpatient mortality among certain surgical populations and patients hospitalized with pneumonia, they are limited by using administrative databases that do not provide specific data on vital signs, presenting physiology, BMI, or race. Another important limitation of the Nationwide Inpatient Sample is the lack of any information on RRT activations and ICU transfers. Moreover, the database does not include information on outpatient diagnoses, which may have led to a significantly lower prevalence of OSA than expected in these studies. Despite the important methodological differences, our study corroborates this finding among a diverse cohort of hospitalized patients. Unlike these previous studies of postoperative patients or those hospitalized with pneumonia, we did not find an increased risk of adverse events associated with OSA after controlling for potential confounders.
The decreased mortality seen in OSA patients could be explained by these patients receiving more vigilant care, showing earlier signs of deterioration, or displaying more easily treatable forms of distress than patients without OSA. For example, earlier identification of deterioration could lead to earlier interventions, which could decrease inpatient mortality. In 2 studies of postsurgical patients,[10, 11] those with OSA diagnosis who developed respiratory failure were intubated earlier and received mechanical ventilation for a shorter period of time, suggesting that the cause of respiratory failure was rapidly reversible (eg, upper airway complications due to oversedation or excessive analgesia). However, we did not find increased adjusted odds of RRT activation or ICU transfer for OSA patients in our study, and so it is less likely that earlier recognition of decompensation occurred in our sample. In addition, our hospital did not have standardized practices for monitoring or managing OSA patients during the study period, which makes systematic early recognition of clinical deterioration among the OSA population in our study less likely.
Alternatively, there may be a true physiologic phenomenon providing a short‐term mortality benefit in those with OSA. It has been observed that patients with obesity (but without severe obesity) often have better outcomes after acute illness, whether by earlier or more frequent contact with medical care or heightened levels of metabolic reserve.[21, 22] However, our findings of decreased mortality for OSA patients remained even after controlling for BMI. An additional important possibility to consider is ischemic preconditioning, a well‐described phenomenon in which episodes of sublethal ischemia confer protection on tissues from subsequent ischemia/reperfusion damage.[23] Ischemic preconditioning has been demonstrated in models of cardiac and neural tissue[24, 25, 26] and has been shown to enhance stem cell survival by providing resistance to necrosis and lending functional benefits to heart, brain, and kidney models after transplantation.[25, 26, 27, 28, 29, 30, 31] The fundamentals of this concept may have applications in transplant and cardiac surgery,[32, 33] in the management of acute coronary syndromes and stroke,[32, 34, 35] and in athletic training and performance.[35, 36] Although OSA has been associated with long‐term cardiovascular morbidity and mortality,[2, 3, 4, 5, 6] the intermittent hypoxemia OSA patients experience could actually improve their ability to survive clinical deterioration in the short‐term (ie, during a hospitalization).
Limitations of our study include its conduction at a single center, which may prevent generalization to populations different than ours. Furthermore, during the study period, our hospital did not have formal guidelines or standardized management or monitoring practices for patients with OSA. Additionally, practices for managing OSA may vary across institutions. Therefore, our results may not be generalizable to hospitals with such protocols in place. However, as mentioned above, similar findings have been noted in studies using large, nationally representative administrative databases. In addition, we identified OSA via ICD‐9‐CM codes, which are likely insensitive for estimating the true prevalence of OSA in our sample. Despite this, our reported OSA prevalence of over 10% falls within the prevalence range reported in large epidemiological studies.[37, 38, 39] Finally, we did not have data on polysomnograms or treatment received for patients with OSA, so we do not know the severity of OSA or adequacy of treatment for these patients.
Notwithstanding our limitations, our study has several strengths. First, we included a large number of hospitalized patients across a diverse range of medical and surgical ward admissions, which increases the generalizability of our results. We also addressed potential confounders by including a large number of comorbidities and controlling for severity of presenting physiology with the CART score. The CART score, which contains physiologic variables such as respiratory rate, heart rate, and diastolic blood pressure, is an accurate predictor of cardiac arrest, ICU transfer, and in‐hospital mortality in our population.[40] Finally, we were able to obtain information about these diagnoses from outpatient as well as inpatient data.
In conclusion, we found that after adjustment for important confounders, OSA was associated with a decrease in hospital mortality and cardiac arrest but not with other adverse events on the wards. These results may suggest a protective benefit from OSA with regard to mortality, an advantage that could be explained by ischemic preconditioning or a higher level of care or vigilance not reflected by the number of RRT activations or ICU transfers experienced by these patients. Further research is needed to confirm these findings across other populations, to investigate the physiologic pathways by which OSA may produce these effects, and to examine the mechanisms by which treatment of OSA could influence these outcomes.
Acknowledgements
The authors thank Nicole Babuskow for administrative support, as well as Brian Furner and Timothy Holper for assistance with data acquisition.
Disclosures: Study concept and design: P.L., D.P.E, B.M., M.C.; acquisition of data: P.L.; analysis and interpretation of data: all authors; first drafting of the manuscript: P.L.; critical revision of the manuscript for important intellectual content: all authors; statistical analysis: P.L., F.Z., M.C.; obtained funding: D.P.E., M.C.; administrative, technical, and material support: F.Z., D.P.E.; study supervision: D.P.E, B.M., M.C.; data access and responsibility: P.L. and M.C. had full access to all the data in the study, and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs. Churpek and Edelson have a patent pending (ARCD. P0535US.P2) for risk stratification algorithms for hospitalized patients. Dr. Churpek and Dr. Edelson are both supported by career development awards from the National Heart, Lung, and Blood Institute (K08 HL121080 and K23 HL097157, respectively). Dr. Churpek has received honoraria from Chest for invited speaking engagements. In addition, Dr. Edelson has received research support and honoraria from Philips Healthcare (Andover, MA), research support from the American Heart Association (Dallas, TX) and Laerdal Medical (Stavanger, Norway), and an honorarium from Early Sense (Tel Aviv, Israel). She has ownership interest in Quant HC (Chicago, IL), which is developing products for risk stratification of hospitalized patients. Dr. Mokhlesi is supported by National Institutes of Health grant R01HL119161. Dr. Mokhlesi has served as a consultant to Philips/Respironics and has received research support from Philips/Respironics.
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Obstructive sleep apnea (OSA) is an increasingly prevalent condition characterized by intermittent airway obstruction during sleep, which leads to hypoxemia, hypercapnia, and fragmented sleep. The current prevalence estimates of moderate to severe OSA (apnea‐hypopnea index 15, measured as events/hour) in middle‐aged adults are approximately 13% in men and 6% in women.[1] OSA is a well‐described independent risk factor for long‐term neurocognitive, cardiovascular, and cerebrovascular morbidity and mortality.[2, 3, 4, 5, 6]
Recent studies have also identified OSA as an independent risk factor for adverse perioperative outcomes, including endotracheal intubation, intensive care unit (ICU) transfer, and increased length of stay.[7, 8, 9, 10, 11] Paradoxically, despite an increase in the risk of complications, several of these studies did not find an association between in‐hospital death and OSA even after controlling for potential confounders.[9, 10, 11] Furthermore, a recent study of patients hospitalized for pneumonia reported increased rates of clinical deterioration and mechanical ventilation, but also lower odds of inpatient mortality in patients with OSA.[12]
These studies may have been limited by the absence of physiologic data, which prevented controlling for severity of illness. It is also unclear whether these previously described associations between OSA and adverse clinical outcomes hold true for general hospital inpatients. OSA may be worsened by medications frequently used in hospitals, such as narcotics and benzodiazepines. Opiate use contributes to both central and obstructive sleep apneas,[13, 14] and benzodiazepines are known to produce airway smooth muscle relaxation and can cause respiratory depression.[15] In fact, the use of benzodiazepines has been implicated in the unmasking of OSA in patients with previously undiagnosed sleep‐disordered breathing.[16] These findings suggest mechanisms by which OSA could contribute to an increased risk in hospital ward patients for rapid response team (RRT) activation, ICU transfer, cardiac arrest, and in‐hospital death.
The aim of this study was to determine the independent association between OSA and in‐hospital mortality in ward patients. We also aimed to investigate the association of OSA with clinical deterioration on the wards, while controlling for patient characteristics, initial physiology, and severity of illness.
MATERIALS AND METHODS
Setting and Study Population
This observational cohort study was performed at an academic tertiary care medical center with approximately 500 beds. Data were obtained from all adult patients hospitalized on the wards between November 1, 2008 and October 1, 2013. Our hospital has utilized an RRT, led by a critical care nurse and respiratory therapist with hospitalist and pharmacist consultation available upon request, since 2008. This team is separate from the team that responds to a cardiac arrest. Criteria for RRT activation include tachypnea, tachycardia, hypotension, and staff worry, but specific vital sign thresholds are not specified.
The study analyzed deidentified data from the hospital's Clinical Research Data Warehouse, which is maintained by the Center for Research Informatics at The University of Chicago. The study protocol was approved by the University of Chicago Institutional Review Board (IRB #16995A).
Data Collection
Patient age, sex, race, body mass index (BMI), and location prior to ward admission (ie, whether they were admitted from the emergency department, transferred from the ICU, or directly admitted from clinic or home) were collected. Patients who underwent surgery during their admission were identified using the hospital's admission‐transfer‐discharge database. In addition, routinely collected vital signs (eg, respiratory rate, blood pressure, heart rate) were obtained from the electronic health record (Epic, Verona, WI). To determine severity of illness, the first set of vital signs measured on hospital presentation were utilized to calculate the cardiac arrest risk triage (CART) score, a vital‐signbased early warning score we previously developed and validated for predicting adverse events in our population.[17] The CART score ranges from 0 to 57, with points assigned for abnormalities in respiratory rate, heart rate, diastolic blood pressure, and age. If any vital sign was missing, the next available measurement was pulled into the set. If any vital sign remained missing after this change, the median value for that particular location (ie, wards, ICU, or emergency department) was imputed as previously described.[18, 19]
Patients with OSA were identified by the following International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) codes using inpatient and outpatient medical records: 278.03, 327.20, 327.23, 327.29, 780.51, 780.53, and 780.57 (Table 1). Data on other patient comorbidities, including coronary artery disease, congestive heart failure, arrhythmias, uncomplicated and complicated diabetes mellitus, hypertension, and cerebrovascular disease were collected using specific ICD‐9‐CM codes from both inpatient and outpatient records. Information on insurance payer was also collected from the hospital's billing database. Insurance payers were grouped into the following categories: private payer, Medicare/Medicaid, and no insurance. Patients with both public and private payers were counted as being privately insured.
| Diagnosis Code | Description | % of Sleep Apnea Diagnosesa |
|---|---|---|
| ||
| 327.23 | Obstructive sleep apnea | 65.6 |
| 780.57 | Unspecified sleep apnea | 19.4 |
| 780.53 | Hypersomnia with sleep apnea, unspecified | 11.7 |
| 780.51 | Insomnia with sleep apnea, unspecified | 1.5 |
| 327.2 | Organic sleep apnea, unspecified | 0.2 |
| 278.03 | Obesity hypoventilation syndrome | 1.7 |
Outcomes
The primary outcome of the study was in‐hospital mortality. Secondary outcomes included length of stay, RRT activation, transfer to the ICU, endotracheal intubation, cardiac arrest (defined as a loss of pulse with attempted resuscitation) on the wards, and a composite outcome of RRT activation, ICU transfer, and death. Because cardiac arrests on the wards result either in death or ICU transfer following successful resuscitation, this variable was omitted from the composite outcome. Cardiac arrests were identified using a prospectively validated quality improvement database that has been described previously.[20] ICU transfer was identified using the hospital's admission‐transfer‐discharge database. Only the index cardiac arrest, intubation, RRT, or ICU transfer for each admission was used in the study, but more than 1 type of outcome could occur for each patient (eg, a patient who died following an unsuccessful resuscitation attempt would count as both a cardiac arrest and a death).
Statistical Analysis
Patient characteristics were compared using Student t tests, Wilcoxon rank sum tests, and 2 statistics, as appropriate. Unadjusted logistic regression models were fit to estimate the change in odds of each adverse event and a composite outcome of any event for patient admissions with OSA compared to those without OSA. Adjusted logistic regression models were then fit for each outcome to control for patient characteristics (age, sex, BMI, insurance status, and individual comorbidities), location immediately prior to ward admission, and admission severity of illness (as measured by CART score). In the adjusted model, CART score, age, and number of comorbidities were entered linearly, with the addition of squared terms for age and CART score, as these variables showed nonlinear associations with the outcomes of interest. Race, surgical status, insurance payer, location prior to ward, and BMI (underweight, <18.5 kg/m2; normal weight, 18.524.9 kg/m2; overweight, 25.029.9 kg/m2; obese, 3039.9 kg/m2; and severely obese, (40 kg/m2) were modeled as categorical variables.
Given that an individual patient could experience multiple hospitalizations during the study period, we performed a sensitivity analysis of all adjusted and unadjusted models using a single randomly selected hospitalization for each unique patient. In addition, we performed a sensitivity analysis of all patients who were not admitted to the ICU prior to their ward stay. Finally, we performed subgroup analyses of all unadjusted and adjusted models for each BMI category and surgical status.
All tests of significance used a 2‐sided P value <0.05. Statistical analyses were completed using Stata version 12.0 (StataCorp, College Station, TX).
RESULTS
Patient Characteristics
During the study period, 93,676 patient admissions from 53,150 unique patients resulted in the occurrence of 1,069 RRT activations, 6,305 ICU transfers, and 1,239 in‐hospital deaths. Within our sample, 40,034 patients had at least 1 inpatient record and at least 1 outpatient record. OSA diagnosis was present in 5,625 patients (10.6% of the total sample), with 4,748 patients having an OSA diagnosis code entered during a hospitalization, 2,143 with an OSA diagnosis code entered during an outpatient encounter, and 877 with both inpatient and outpatient diagnosis codes. These patients identified as having OSA contributed 12,745 (13.6%) hospital admissions.
Patients with an OSA diagnosis were more likely to be older (median age 59 years [interquartile range 4968] vs 55 years [3868]), male (49% vs 42%), overweight or obese (88% vs 62%), and more likely to carry diagnoses of diabetes (53.8% vs 25.5%), hypertension (45.3% vs 18.2%), arrhythmias (44.4% vs 26.7%), coronary artery disease (46.8% vs 23.5%), heart failure (35.8% vs 13.5%), and cerebrovascular disease (13.5% vs 8.1%) than patients without an OSA diagnosis (all comparisons significant, P < 0.001) (Table 2).
| Characteristic | Patient Admissions With OSA Diagnoses, n = 12,745 | Patient Admissions Without OSA Diagnoses, n = 80,931 | P Value |
|---|---|---|---|
| |||
| Age, y, median (IQR) | 59 (4968) | 55 (3868) | <0.001 |
| Female, n (%) | 6,514 (51%) | 47,202 (58%) | <0.001 |
| Race, n (%) | <0.001 | ||
| White | 4,205 (33%) | 30,119 (37%) | |
| Black/African American | 7,024 (55%) | 38,561 (48%) | |
| Asian | 561 (4.4%) | 3,419 (4.2%) | |
| American Indian or Native Alaskan | 20 (0.2%) | 113 (0.1%) | |
| More than 1 race | 127 (1%) | 843 (1%) | |
| Race unknown | 808 (6%) | 7,876 (10%) | |
| Insurance status, n (%) | <0.001 | ||
| Private | 4,484 (35%) | 32,467 (40%) | |
| Medicare/Medicaid | 8,201 (64%) | 42,208 (58%) | |
| Uninsured | 53 (0.4%) | 1,190 (1%) | |
| Unknown | 4 (<0.1%) | 16 (<0.1%) | |
| Location prior to wards, n (%) | <0.001 | ||
| ICU | 1,400 (11%) | 8,065 (10%) | |
| Emergency department | 4,633 (36%) | 25,170 (31%) | |
| Ambulatory admission | 6,712 (53%) | 47,696 (59%) | |
| Body mass index, kg/m2, n (%) | <0.001 | ||
| Normal (18.525) | 1,431 (11%) | 26,560 (33%) | |
| Underweight (<18.5) | 122 (1%) | 4,256 (5%) | |
| Overweight (2530) | 2,484 (20%) | 23,761 (29%) | |
| Obese (3040) | 4,959 (39%) | 19,132 (24%) | |
| Severely obese (40) | 3,745 (29%) | 7,171 (9%) | |
| Initial cardiac arrest risk triage score, median (IQR) | 4 (09) | 4 (09) | <0.001 |
| Underwent surgery, n (%) | 4,482 (35%) | 28,843 (36%) | 0.3 |
| Comorbidities | |||
| Number of comorbidities, median (IQR) | 2 (14) | 1 (02) | <0.001 |
| Arrhythmia | 5,659 (44%) | 21,581 (27%) | <0.001 |
| Diabetes mellitus | 6,855 (54%) | 20,641 (26%) | <0.001 |
| Hypertension | 5,777 (45%) | 14,728 (18%) | <0.001 |
| Coronary artery disease | 5,958 (47%) | 18,979 (23%) | <0.001 |
| Cerebrovascular accident | 1,725 (14%) | 6,556 (8%) | <0.001 |
| Congestive heart failure | 4,559 (36%) | 10,919 (13%) | <0.001 |
Complications and Adverse Outcomes
In the unadjusted analyses, the overall incidence of adverse outcomes was higher among patient admissions with a diagnosis of OSA compared to those without OSA (Table 3). Those with OSA were more likely to experience RRT activation (1.5% vs 1.1%), ICU transfer (8% vs 7%), and endotracheal intubation (3.9% vs 2.9%) than those without OSA diagnoses (P < 0.001 for all comparisons). There was no significant difference in the incidence of cardiac arrest between the 2 groups, nor was there a significant difference in length of stay. Unadjusted inpatient mortality for OSA patient admissions was lower than that for non‐OSA hospitalizations (1.1% vs 1.4%, P < 0.05). A diagnosis of OSA was associated with increased unadjusted odds for RRT activation (odds ratio [OR]: 1.36 [1.16‐1.59]) and ICU transfer (OR: 1.28 [1.20‐1.38]). However, after controlling for confounders, OSA was not associated with increased odds for RRT activation (OR: 1.14 [0.95‐1.36]) or intubation (OR: 1.06 [0.94‐1.19]), and was associated with slightly decreased odds for ICU transfer (OR: 0.91 [0.84‐0.99]) (Figure 1). Those with OSA had decreased adjusted odds of cardiac arrest (OR: 0.72 [0.55‐0.95]) compared to those without OSA. OSA was also associated with decreased odds of in‐hospital mortality before (OR: 0.83 [0.70‐0.99]) and after (OR: 0.70 [0.58‐0.85]) controlling for confounders.
| Characteristic | Patient Admissions With OSA Diagnoses, n = 12,745 | Patient Admissions Without OSA Diagnoses, n = 80,931 | P Value |
|---|---|---|---|
| |||
| Outcomes, n (%) | |||
| Composite outcomea | 1,137 (9%) | 5,792 (7%) | <0.001 |
| In‐hospital death | 144 (1.1%) | 1,095 (1.4%) | 0.04 |
| Rapid response team call | 188 (1.5%) | 881 (1.1%) | <0.001 |
| ICU transfer | 1,045 (8%) | 5,260 (7%) | <0.001 |
| Cardiac arrest | 413 (0.5%) | 73 (0.6%) | 0.36 |
Sensitivity Analyses
The sensitivity analysis involving 1 randomly selected hospitalization per patient included a total of 53,150 patients. The results were similar to the main analysis, with adjusted odds of 1.01 (0.77‐1.32) for RRT activation, 0.86 (0.76‐0.96) for ICU transfer, and 0.69 (0.53‐0.89) for inpatient mortality. An additional sensitivity analysis included only patients who were not admitted to the ICU prior to their ward stay. This analysis included 84,211 hospitalizations and demonstrated similar findings, with adjusted odds of 0.70 for in‐hospital mortality (0.57‐0.87). Adjusted odds for RRT activation (OR: 1.12 [0.92‐1.37]) and ICU transfer (OR: 0.88 [0.81‐0.96] were also similar to the results of our main analysis.
Subgroup Analyses
Surgical and Nonsurgical Patients
Subgroup analyses of surgical versus nonsurgical patients (Figure 2) revealed similarly decreased adjusted odds of in‐hospital death for OSA patients in both groups (surgical OR: 0.69 [0.49‐0.97]; nonsurgical OR: 0.72 [0.58‐0.91]). Surgical patients with OSA diagnoses had decreased adjusted odds for ICU transfer (surgical OR: 0.82 [0.73‐0.92], but this finding was not seen in nonsurgical patients (OR: 1.03 [0.92‐1.15]).
Patients Stratified by BMI
Examination across BMI categories (Figure 2) showed a significant decrease in adjusted odds of death for OSA patients with BMI 30 to 40 kg/m2 (OR: 0.60 [0.43‐0.84]). A nonsignificant decrease in adjusted odds of death was seen for OSA patients in all other groups. Adjusted odds ratios for the risk of RRT activation and ICU transfer in OSA patients within the different BMI categories were not statistically significant.
DISCUSSION
In this large observational single‐center cohort study, we found that OSA was associated with increased odds of adverse events, such as ICU transfers and RRT calls, but this risk was no longer present after adjusting for demographics, comorbidities, and presenting vital signs. Interestingly, we also found that patients with OSA had decreased adjusted odds for cardiac arrest and mortality. This mortality finding was robust to multiple sensitivity analyses and subgroup analyses. These results have significant implications for our understanding of the short‐term risks of sleep‐disordered breathing in hospitalized patients, and suggest the possibility that OSA is associated with a protective effect with regard to inpatient mortality.
Our findings are in line with other recent work in this area. In 2 large observational cohorts of surgical populations drawn from the nationally representative Nationwide Inpatient Sample administrative database, our group reported decreased odds of in‐hospital postoperative mortality in OSA patients.[10, 11] Using the same Nationwide Inpatient Sample, Lindenauer et al. showed that among inpatients hospitalized with pneumonia, OSA diagnosis was associated with increased rates of clinical deterioration but lower rates of inpatient mortality.[12] Although these 3 studies have identified decreased inpatient mortality among certain surgical populations and patients hospitalized with pneumonia, they are limited by using administrative databases that do not provide specific data on vital signs, presenting physiology, BMI, or race. Another important limitation of the Nationwide Inpatient Sample is the lack of any information on RRT activations and ICU transfers. Moreover, the database does not include information on outpatient diagnoses, which may have led to a significantly lower prevalence of OSA than expected in these studies. Despite the important methodological differences, our study corroborates this finding among a diverse cohort of hospitalized patients. Unlike these previous studies of postoperative patients or those hospitalized with pneumonia, we did not find an increased risk of adverse events associated with OSA after controlling for potential confounders.
The decreased mortality seen in OSA patients could be explained by these patients receiving more vigilant care, showing earlier signs of deterioration, or displaying more easily treatable forms of distress than patients without OSA. For example, earlier identification of deterioration could lead to earlier interventions, which could decrease inpatient mortality. In 2 studies of postsurgical patients,[10, 11] those with OSA diagnosis who developed respiratory failure were intubated earlier and received mechanical ventilation for a shorter period of time, suggesting that the cause of respiratory failure was rapidly reversible (eg, upper airway complications due to oversedation or excessive analgesia). However, we did not find increased adjusted odds of RRT activation or ICU transfer for OSA patients in our study, and so it is less likely that earlier recognition of decompensation occurred in our sample. In addition, our hospital did not have standardized practices for monitoring or managing OSA patients during the study period, which makes systematic early recognition of clinical deterioration among the OSA population in our study less likely.
Alternatively, there may be a true physiologic phenomenon providing a short‐term mortality benefit in those with OSA. It has been observed that patients with obesity (but without severe obesity) often have better outcomes after acute illness, whether by earlier or more frequent contact with medical care or heightened levels of metabolic reserve.[21, 22] However, our findings of decreased mortality for OSA patients remained even after controlling for BMI. An additional important possibility to consider is ischemic preconditioning, a well‐described phenomenon in which episodes of sublethal ischemia confer protection on tissues from subsequent ischemia/reperfusion damage.[23] Ischemic preconditioning has been demonstrated in models of cardiac and neural tissue[24, 25, 26] and has been shown to enhance stem cell survival by providing resistance to necrosis and lending functional benefits to heart, brain, and kidney models after transplantation.[25, 26, 27, 28, 29, 30, 31] The fundamentals of this concept may have applications in transplant and cardiac surgery,[32, 33] in the management of acute coronary syndromes and stroke,[32, 34, 35] and in athletic training and performance.[35, 36] Although OSA has been associated with long‐term cardiovascular morbidity and mortality,[2, 3, 4, 5, 6] the intermittent hypoxemia OSA patients experience could actually improve their ability to survive clinical deterioration in the short‐term (ie, during a hospitalization).
Limitations of our study include its conduction at a single center, which may prevent generalization to populations different than ours. Furthermore, during the study period, our hospital did not have formal guidelines or standardized management or monitoring practices for patients with OSA. Additionally, practices for managing OSA may vary across institutions. Therefore, our results may not be generalizable to hospitals with such protocols in place. However, as mentioned above, similar findings have been noted in studies using large, nationally representative administrative databases. In addition, we identified OSA via ICD‐9‐CM codes, which are likely insensitive for estimating the true prevalence of OSA in our sample. Despite this, our reported OSA prevalence of over 10% falls within the prevalence range reported in large epidemiological studies.[37, 38, 39] Finally, we did not have data on polysomnograms or treatment received for patients with OSA, so we do not know the severity of OSA or adequacy of treatment for these patients.
Notwithstanding our limitations, our study has several strengths. First, we included a large number of hospitalized patients across a diverse range of medical and surgical ward admissions, which increases the generalizability of our results. We also addressed potential confounders by including a large number of comorbidities and controlling for severity of presenting physiology with the CART score. The CART score, which contains physiologic variables such as respiratory rate, heart rate, and diastolic blood pressure, is an accurate predictor of cardiac arrest, ICU transfer, and in‐hospital mortality in our population.[40] Finally, we were able to obtain information about these diagnoses from outpatient as well as inpatient data.
In conclusion, we found that after adjustment for important confounders, OSA was associated with a decrease in hospital mortality and cardiac arrest but not with other adverse events on the wards. These results may suggest a protective benefit from OSA with regard to mortality, an advantage that could be explained by ischemic preconditioning or a higher level of care or vigilance not reflected by the number of RRT activations or ICU transfers experienced by these patients. Further research is needed to confirm these findings across other populations, to investigate the physiologic pathways by which OSA may produce these effects, and to examine the mechanisms by which treatment of OSA could influence these outcomes.
Acknowledgements
The authors thank Nicole Babuskow for administrative support, as well as Brian Furner and Timothy Holper for assistance with data acquisition.
Disclosures: Study concept and design: P.L., D.P.E, B.M., M.C.; acquisition of data: P.L.; analysis and interpretation of data: all authors; first drafting of the manuscript: P.L.; critical revision of the manuscript for important intellectual content: all authors; statistical analysis: P.L., F.Z., M.C.; obtained funding: D.P.E., M.C.; administrative, technical, and material support: F.Z., D.P.E.; study supervision: D.P.E, B.M., M.C.; data access and responsibility: P.L. and M.C. had full access to all the data in the study, and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs. Churpek and Edelson have a patent pending (ARCD. P0535US.P2) for risk stratification algorithms for hospitalized patients. Dr. Churpek and Dr. Edelson are both supported by career development awards from the National Heart, Lung, and Blood Institute (K08 HL121080 and K23 HL097157, respectively). Dr. Churpek has received honoraria from Chest for invited speaking engagements. In addition, Dr. Edelson has received research support and honoraria from Philips Healthcare (Andover, MA), research support from the American Heart Association (Dallas, TX) and Laerdal Medical (Stavanger, Norway), and an honorarium from Early Sense (Tel Aviv, Israel). She has ownership interest in Quant HC (Chicago, IL), which is developing products for risk stratification of hospitalized patients. Dr. Mokhlesi is supported by National Institutes of Health grant R01HL119161. Dr. Mokhlesi has served as a consultant to Philips/Respironics and has received research support from Philips/Respironics.
Obstructive sleep apnea (OSA) is an increasingly prevalent condition characterized by intermittent airway obstruction during sleep, which leads to hypoxemia, hypercapnia, and fragmented sleep. The current prevalence estimates of moderate to severe OSA (apnea‐hypopnea index 15, measured as events/hour) in middle‐aged adults are approximately 13% in men and 6% in women.[1] OSA is a well‐described independent risk factor for long‐term neurocognitive, cardiovascular, and cerebrovascular morbidity and mortality.[2, 3, 4, 5, 6]
Recent studies have also identified OSA as an independent risk factor for adverse perioperative outcomes, including endotracheal intubation, intensive care unit (ICU) transfer, and increased length of stay.[7, 8, 9, 10, 11] Paradoxically, despite an increase in the risk of complications, several of these studies did not find an association between in‐hospital death and OSA even after controlling for potential confounders.[9, 10, 11] Furthermore, a recent study of patients hospitalized for pneumonia reported increased rates of clinical deterioration and mechanical ventilation, but also lower odds of inpatient mortality in patients with OSA.[12]
These studies may have been limited by the absence of physiologic data, which prevented controlling for severity of illness. It is also unclear whether these previously described associations between OSA and adverse clinical outcomes hold true for general hospital inpatients. OSA may be worsened by medications frequently used in hospitals, such as narcotics and benzodiazepines. Opiate use contributes to both central and obstructive sleep apneas,[13, 14] and benzodiazepines are known to produce airway smooth muscle relaxation and can cause respiratory depression.[15] In fact, the use of benzodiazepines has been implicated in the unmasking of OSA in patients with previously undiagnosed sleep‐disordered breathing.[16] These findings suggest mechanisms by which OSA could contribute to an increased risk in hospital ward patients for rapid response team (RRT) activation, ICU transfer, cardiac arrest, and in‐hospital death.
The aim of this study was to determine the independent association between OSA and in‐hospital mortality in ward patients. We also aimed to investigate the association of OSA with clinical deterioration on the wards, while controlling for patient characteristics, initial physiology, and severity of illness.
MATERIALS AND METHODS
Setting and Study Population
This observational cohort study was performed at an academic tertiary care medical center with approximately 500 beds. Data were obtained from all adult patients hospitalized on the wards between November 1, 2008 and October 1, 2013. Our hospital has utilized an RRT, led by a critical care nurse and respiratory therapist with hospitalist and pharmacist consultation available upon request, since 2008. This team is separate from the team that responds to a cardiac arrest. Criteria for RRT activation include tachypnea, tachycardia, hypotension, and staff worry, but specific vital sign thresholds are not specified.
The study analyzed deidentified data from the hospital's Clinical Research Data Warehouse, which is maintained by the Center for Research Informatics at The University of Chicago. The study protocol was approved by the University of Chicago Institutional Review Board (IRB #16995A).
Data Collection
Patient age, sex, race, body mass index (BMI), and location prior to ward admission (ie, whether they were admitted from the emergency department, transferred from the ICU, or directly admitted from clinic or home) were collected. Patients who underwent surgery during their admission were identified using the hospital's admission‐transfer‐discharge database. In addition, routinely collected vital signs (eg, respiratory rate, blood pressure, heart rate) were obtained from the electronic health record (Epic, Verona, WI). To determine severity of illness, the first set of vital signs measured on hospital presentation were utilized to calculate the cardiac arrest risk triage (CART) score, a vital‐signbased early warning score we previously developed and validated for predicting adverse events in our population.[17] The CART score ranges from 0 to 57, with points assigned for abnormalities in respiratory rate, heart rate, diastolic blood pressure, and age. If any vital sign was missing, the next available measurement was pulled into the set. If any vital sign remained missing after this change, the median value for that particular location (ie, wards, ICU, or emergency department) was imputed as previously described.[18, 19]
Patients with OSA were identified by the following International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) codes using inpatient and outpatient medical records: 278.03, 327.20, 327.23, 327.29, 780.51, 780.53, and 780.57 (Table 1). Data on other patient comorbidities, including coronary artery disease, congestive heart failure, arrhythmias, uncomplicated and complicated diabetes mellitus, hypertension, and cerebrovascular disease were collected using specific ICD‐9‐CM codes from both inpatient and outpatient records. Information on insurance payer was also collected from the hospital's billing database. Insurance payers were grouped into the following categories: private payer, Medicare/Medicaid, and no insurance. Patients with both public and private payers were counted as being privately insured.
| Diagnosis Code | Description | % of Sleep Apnea Diagnosesa |
|---|---|---|
| ||
| 327.23 | Obstructive sleep apnea | 65.6 |
| 780.57 | Unspecified sleep apnea | 19.4 |
| 780.53 | Hypersomnia with sleep apnea, unspecified | 11.7 |
| 780.51 | Insomnia with sleep apnea, unspecified | 1.5 |
| 327.2 | Organic sleep apnea, unspecified | 0.2 |
| 278.03 | Obesity hypoventilation syndrome | 1.7 |
Outcomes
The primary outcome of the study was in‐hospital mortality. Secondary outcomes included length of stay, RRT activation, transfer to the ICU, endotracheal intubation, cardiac arrest (defined as a loss of pulse with attempted resuscitation) on the wards, and a composite outcome of RRT activation, ICU transfer, and death. Because cardiac arrests on the wards result either in death or ICU transfer following successful resuscitation, this variable was omitted from the composite outcome. Cardiac arrests were identified using a prospectively validated quality improvement database that has been described previously.[20] ICU transfer was identified using the hospital's admission‐transfer‐discharge database. Only the index cardiac arrest, intubation, RRT, or ICU transfer for each admission was used in the study, but more than 1 type of outcome could occur for each patient (eg, a patient who died following an unsuccessful resuscitation attempt would count as both a cardiac arrest and a death).
Statistical Analysis
Patient characteristics were compared using Student t tests, Wilcoxon rank sum tests, and 2 statistics, as appropriate. Unadjusted logistic regression models were fit to estimate the change in odds of each adverse event and a composite outcome of any event for patient admissions with OSA compared to those without OSA. Adjusted logistic regression models were then fit for each outcome to control for patient characteristics (age, sex, BMI, insurance status, and individual comorbidities), location immediately prior to ward admission, and admission severity of illness (as measured by CART score). In the adjusted model, CART score, age, and number of comorbidities were entered linearly, with the addition of squared terms for age and CART score, as these variables showed nonlinear associations with the outcomes of interest. Race, surgical status, insurance payer, location prior to ward, and BMI (underweight, <18.5 kg/m2; normal weight, 18.524.9 kg/m2; overweight, 25.029.9 kg/m2; obese, 3039.9 kg/m2; and severely obese, (40 kg/m2) were modeled as categorical variables.
Given that an individual patient could experience multiple hospitalizations during the study period, we performed a sensitivity analysis of all adjusted and unadjusted models using a single randomly selected hospitalization for each unique patient. In addition, we performed a sensitivity analysis of all patients who were not admitted to the ICU prior to their ward stay. Finally, we performed subgroup analyses of all unadjusted and adjusted models for each BMI category and surgical status.
All tests of significance used a 2‐sided P value <0.05. Statistical analyses were completed using Stata version 12.0 (StataCorp, College Station, TX).
RESULTS
Patient Characteristics
During the study period, 93,676 patient admissions from 53,150 unique patients resulted in the occurrence of 1,069 RRT activations, 6,305 ICU transfers, and 1,239 in‐hospital deaths. Within our sample, 40,034 patients had at least 1 inpatient record and at least 1 outpatient record. OSA diagnosis was present in 5,625 patients (10.6% of the total sample), with 4,748 patients having an OSA diagnosis code entered during a hospitalization, 2,143 with an OSA diagnosis code entered during an outpatient encounter, and 877 with both inpatient and outpatient diagnosis codes. These patients identified as having OSA contributed 12,745 (13.6%) hospital admissions.
Patients with an OSA diagnosis were more likely to be older (median age 59 years [interquartile range 4968] vs 55 years [3868]), male (49% vs 42%), overweight or obese (88% vs 62%), and more likely to carry diagnoses of diabetes (53.8% vs 25.5%), hypertension (45.3% vs 18.2%), arrhythmias (44.4% vs 26.7%), coronary artery disease (46.8% vs 23.5%), heart failure (35.8% vs 13.5%), and cerebrovascular disease (13.5% vs 8.1%) than patients without an OSA diagnosis (all comparisons significant, P < 0.001) (Table 2).
| Characteristic | Patient Admissions With OSA Diagnoses, n = 12,745 | Patient Admissions Without OSA Diagnoses, n = 80,931 | P Value |
|---|---|---|---|
| |||
| Age, y, median (IQR) | 59 (4968) | 55 (3868) | <0.001 |
| Female, n (%) | 6,514 (51%) | 47,202 (58%) | <0.001 |
| Race, n (%) | <0.001 | ||
| White | 4,205 (33%) | 30,119 (37%) | |
| Black/African American | 7,024 (55%) | 38,561 (48%) | |
| Asian | 561 (4.4%) | 3,419 (4.2%) | |
| American Indian or Native Alaskan | 20 (0.2%) | 113 (0.1%) | |
| More than 1 race | 127 (1%) | 843 (1%) | |
| Race unknown | 808 (6%) | 7,876 (10%) | |
| Insurance status, n (%) | <0.001 | ||
| Private | 4,484 (35%) | 32,467 (40%) | |
| Medicare/Medicaid | 8,201 (64%) | 42,208 (58%) | |
| Uninsured | 53 (0.4%) | 1,190 (1%) | |
| Unknown | 4 (<0.1%) | 16 (<0.1%) | |
| Location prior to wards, n (%) | <0.001 | ||
| ICU | 1,400 (11%) | 8,065 (10%) | |
| Emergency department | 4,633 (36%) | 25,170 (31%) | |
| Ambulatory admission | 6,712 (53%) | 47,696 (59%) | |
| Body mass index, kg/m2, n (%) | <0.001 | ||
| Normal (18.525) | 1,431 (11%) | 26,560 (33%) | |
| Underweight (<18.5) | 122 (1%) | 4,256 (5%) | |
| Overweight (2530) | 2,484 (20%) | 23,761 (29%) | |
| Obese (3040) | 4,959 (39%) | 19,132 (24%) | |
| Severely obese (40) | 3,745 (29%) | 7,171 (9%) | |
| Initial cardiac arrest risk triage score, median (IQR) | 4 (09) | 4 (09) | <0.001 |
| Underwent surgery, n (%) | 4,482 (35%) | 28,843 (36%) | 0.3 |
| Comorbidities | |||
| Number of comorbidities, median (IQR) | 2 (14) | 1 (02) | <0.001 |
| Arrhythmia | 5,659 (44%) | 21,581 (27%) | <0.001 |
| Diabetes mellitus | 6,855 (54%) | 20,641 (26%) | <0.001 |
| Hypertension | 5,777 (45%) | 14,728 (18%) | <0.001 |
| Coronary artery disease | 5,958 (47%) | 18,979 (23%) | <0.001 |
| Cerebrovascular accident | 1,725 (14%) | 6,556 (8%) | <0.001 |
| Congestive heart failure | 4,559 (36%) | 10,919 (13%) | <0.001 |
Complications and Adverse Outcomes
In the unadjusted analyses, the overall incidence of adverse outcomes was higher among patient admissions with a diagnosis of OSA compared to those without OSA (Table 3). Those with OSA were more likely to experience RRT activation (1.5% vs 1.1%), ICU transfer (8% vs 7%), and endotracheal intubation (3.9% vs 2.9%) than those without OSA diagnoses (P < 0.001 for all comparisons). There was no significant difference in the incidence of cardiac arrest between the 2 groups, nor was there a significant difference in length of stay. Unadjusted inpatient mortality for OSA patient admissions was lower than that for non‐OSA hospitalizations (1.1% vs 1.4%, P < 0.05). A diagnosis of OSA was associated with increased unadjusted odds for RRT activation (odds ratio [OR]: 1.36 [1.16‐1.59]) and ICU transfer (OR: 1.28 [1.20‐1.38]). However, after controlling for confounders, OSA was not associated with increased odds for RRT activation (OR: 1.14 [0.95‐1.36]) or intubation (OR: 1.06 [0.94‐1.19]), and was associated with slightly decreased odds for ICU transfer (OR: 0.91 [0.84‐0.99]) (Figure 1). Those with OSA had decreased adjusted odds of cardiac arrest (OR: 0.72 [0.55‐0.95]) compared to those without OSA. OSA was also associated with decreased odds of in‐hospital mortality before (OR: 0.83 [0.70‐0.99]) and after (OR: 0.70 [0.58‐0.85]) controlling for confounders.
| Characteristic | Patient Admissions With OSA Diagnoses, n = 12,745 | Patient Admissions Without OSA Diagnoses, n = 80,931 | P Value |
|---|---|---|---|
| |||
| Outcomes, n (%) | |||
| Composite outcomea | 1,137 (9%) | 5,792 (7%) | <0.001 |
| In‐hospital death | 144 (1.1%) | 1,095 (1.4%) | 0.04 |
| Rapid response team call | 188 (1.5%) | 881 (1.1%) | <0.001 |
| ICU transfer | 1,045 (8%) | 5,260 (7%) | <0.001 |
| Cardiac arrest | 413 (0.5%) | 73 (0.6%) | 0.36 |
Sensitivity Analyses
The sensitivity analysis involving 1 randomly selected hospitalization per patient included a total of 53,150 patients. The results were similar to the main analysis, with adjusted odds of 1.01 (0.77‐1.32) for RRT activation, 0.86 (0.76‐0.96) for ICU transfer, and 0.69 (0.53‐0.89) for inpatient mortality. An additional sensitivity analysis included only patients who were not admitted to the ICU prior to their ward stay. This analysis included 84,211 hospitalizations and demonstrated similar findings, with adjusted odds of 0.70 for in‐hospital mortality (0.57‐0.87). Adjusted odds for RRT activation (OR: 1.12 [0.92‐1.37]) and ICU transfer (OR: 0.88 [0.81‐0.96] were also similar to the results of our main analysis.
Subgroup Analyses
Surgical and Nonsurgical Patients
Subgroup analyses of surgical versus nonsurgical patients (Figure 2) revealed similarly decreased adjusted odds of in‐hospital death for OSA patients in both groups (surgical OR: 0.69 [0.49‐0.97]; nonsurgical OR: 0.72 [0.58‐0.91]). Surgical patients with OSA diagnoses had decreased adjusted odds for ICU transfer (surgical OR: 0.82 [0.73‐0.92], but this finding was not seen in nonsurgical patients (OR: 1.03 [0.92‐1.15]).
Patients Stratified by BMI
Examination across BMI categories (Figure 2) showed a significant decrease in adjusted odds of death for OSA patients with BMI 30 to 40 kg/m2 (OR: 0.60 [0.43‐0.84]). A nonsignificant decrease in adjusted odds of death was seen for OSA patients in all other groups. Adjusted odds ratios for the risk of RRT activation and ICU transfer in OSA patients within the different BMI categories were not statistically significant.
DISCUSSION
In this large observational single‐center cohort study, we found that OSA was associated with increased odds of adverse events, such as ICU transfers and RRT calls, but this risk was no longer present after adjusting for demographics, comorbidities, and presenting vital signs. Interestingly, we also found that patients with OSA had decreased adjusted odds for cardiac arrest and mortality. This mortality finding was robust to multiple sensitivity analyses and subgroup analyses. These results have significant implications for our understanding of the short‐term risks of sleep‐disordered breathing in hospitalized patients, and suggest the possibility that OSA is associated with a protective effect with regard to inpatient mortality.
Our findings are in line with other recent work in this area. In 2 large observational cohorts of surgical populations drawn from the nationally representative Nationwide Inpatient Sample administrative database, our group reported decreased odds of in‐hospital postoperative mortality in OSA patients.[10, 11] Using the same Nationwide Inpatient Sample, Lindenauer et al. showed that among inpatients hospitalized with pneumonia, OSA diagnosis was associated with increased rates of clinical deterioration but lower rates of inpatient mortality.[12] Although these 3 studies have identified decreased inpatient mortality among certain surgical populations and patients hospitalized with pneumonia, they are limited by using administrative databases that do not provide specific data on vital signs, presenting physiology, BMI, or race. Another important limitation of the Nationwide Inpatient Sample is the lack of any information on RRT activations and ICU transfers. Moreover, the database does not include information on outpatient diagnoses, which may have led to a significantly lower prevalence of OSA than expected in these studies. Despite the important methodological differences, our study corroborates this finding among a diverse cohort of hospitalized patients. Unlike these previous studies of postoperative patients or those hospitalized with pneumonia, we did not find an increased risk of adverse events associated with OSA after controlling for potential confounders.
The decreased mortality seen in OSA patients could be explained by these patients receiving more vigilant care, showing earlier signs of deterioration, or displaying more easily treatable forms of distress than patients without OSA. For example, earlier identification of deterioration could lead to earlier interventions, which could decrease inpatient mortality. In 2 studies of postsurgical patients,[10, 11] those with OSA diagnosis who developed respiratory failure were intubated earlier and received mechanical ventilation for a shorter period of time, suggesting that the cause of respiratory failure was rapidly reversible (eg, upper airway complications due to oversedation or excessive analgesia). However, we did not find increased adjusted odds of RRT activation or ICU transfer for OSA patients in our study, and so it is less likely that earlier recognition of decompensation occurred in our sample. In addition, our hospital did not have standardized practices for monitoring or managing OSA patients during the study period, which makes systematic early recognition of clinical deterioration among the OSA population in our study less likely.
Alternatively, there may be a true physiologic phenomenon providing a short‐term mortality benefit in those with OSA. It has been observed that patients with obesity (but without severe obesity) often have better outcomes after acute illness, whether by earlier or more frequent contact with medical care or heightened levels of metabolic reserve.[21, 22] However, our findings of decreased mortality for OSA patients remained even after controlling for BMI. An additional important possibility to consider is ischemic preconditioning, a well‐described phenomenon in which episodes of sublethal ischemia confer protection on tissues from subsequent ischemia/reperfusion damage.[23] Ischemic preconditioning has been demonstrated in models of cardiac and neural tissue[24, 25, 26] and has been shown to enhance stem cell survival by providing resistance to necrosis and lending functional benefits to heart, brain, and kidney models after transplantation.[25, 26, 27, 28, 29, 30, 31] The fundamentals of this concept may have applications in transplant and cardiac surgery,[32, 33] in the management of acute coronary syndromes and stroke,[32, 34, 35] and in athletic training and performance.[35, 36] Although OSA has been associated with long‐term cardiovascular morbidity and mortality,[2, 3, 4, 5, 6] the intermittent hypoxemia OSA patients experience could actually improve their ability to survive clinical deterioration in the short‐term (ie, during a hospitalization).
Limitations of our study include its conduction at a single center, which may prevent generalization to populations different than ours. Furthermore, during the study period, our hospital did not have formal guidelines or standardized management or monitoring practices for patients with OSA. Additionally, practices for managing OSA may vary across institutions. Therefore, our results may not be generalizable to hospitals with such protocols in place. However, as mentioned above, similar findings have been noted in studies using large, nationally representative administrative databases. In addition, we identified OSA via ICD‐9‐CM codes, which are likely insensitive for estimating the true prevalence of OSA in our sample. Despite this, our reported OSA prevalence of over 10% falls within the prevalence range reported in large epidemiological studies.[37, 38, 39] Finally, we did not have data on polysomnograms or treatment received for patients with OSA, so we do not know the severity of OSA or adequacy of treatment for these patients.
Notwithstanding our limitations, our study has several strengths. First, we included a large number of hospitalized patients across a diverse range of medical and surgical ward admissions, which increases the generalizability of our results. We also addressed potential confounders by including a large number of comorbidities and controlling for severity of presenting physiology with the CART score. The CART score, which contains physiologic variables such as respiratory rate, heart rate, and diastolic blood pressure, is an accurate predictor of cardiac arrest, ICU transfer, and in‐hospital mortality in our population.[40] Finally, we were able to obtain information about these diagnoses from outpatient as well as inpatient data.
In conclusion, we found that after adjustment for important confounders, OSA was associated with a decrease in hospital mortality and cardiac arrest but not with other adverse events on the wards. These results may suggest a protective benefit from OSA with regard to mortality, an advantage that could be explained by ischemic preconditioning or a higher level of care or vigilance not reflected by the number of RRT activations or ICU transfers experienced by these patients. Further research is needed to confirm these findings across other populations, to investigate the physiologic pathways by which OSA may produce these effects, and to examine the mechanisms by which treatment of OSA could influence these outcomes.
Acknowledgements
The authors thank Nicole Babuskow for administrative support, as well as Brian Furner and Timothy Holper for assistance with data acquisition.
Disclosures: Study concept and design: P.L., D.P.E, B.M., M.C.; acquisition of data: P.L.; analysis and interpretation of data: all authors; first drafting of the manuscript: P.L.; critical revision of the manuscript for important intellectual content: all authors; statistical analysis: P.L., F.Z., M.C.; obtained funding: D.P.E., M.C.; administrative, technical, and material support: F.Z., D.P.E.; study supervision: D.P.E, B.M., M.C.; data access and responsibility: P.L. and M.C. had full access to all the data in the study, and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs. Churpek and Edelson have a patent pending (ARCD. P0535US.P2) for risk stratification algorithms for hospitalized patients. Dr. Churpek and Dr. Edelson are both supported by career development awards from the National Heart, Lung, and Blood Institute (K08 HL121080 and K23 HL097157, respectively). Dr. Churpek has received honoraria from Chest for invited speaking engagements. In addition, Dr. Edelson has received research support and honoraria from Philips Healthcare (Andover, MA), research support from the American Heart Association (Dallas, TX) and Laerdal Medical (Stavanger, Norway), and an honorarium from Early Sense (Tel Aviv, Israel). She has ownership interest in Quant HC (Chicago, IL), which is developing products for risk stratification of hospitalized patients. Dr. Mokhlesi is supported by National Institutes of Health grant R01HL119161. Dr. Mokhlesi has served as a consultant to Philips/Respironics and has received research support from Philips/Respironics.
- , , , , , . Increased prevalence of sleep‐disordered breathing in adults. Am J Epidemiol. 2013;177(9):1006–1014.
- , , , . Long‐term cardiovascular outcomes in men with obstructive sleep apnoea‐hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet. 2005;365(9464):1046–1053.
- , , , . Prospective study of the association between sleep‐disordered breathing and hypertension. N Engl J Med. 2000;342(19):1378–1384.
- , , , , , . Obstructive sleep apnea as a risk factor for stroke and death. N Engl J Med. 2005;353(19):2034–2041.
- , , , , . Obstructive sleep apnea and risk of cardiovascular events and all‐cause mortality: a decade‐long historical cohort study. PLoS Med. 2014;11(2):e1001599.
- , , , , , . Sleep apnea as an independent risk factor for all‐cause mortality: the Busselton Health Study. Sleep. 2008;31(8):1079–1085.
- , , , , . Postoperative complications in patients with obstructive sleep apnea. Chest. 2012;141(2):436–441.
- , , , , , . Meta‐analysis of the association between obstructive sleep apnoea and postoperative outcome. Br J Anaesth. 2012;109(6):897–906.
- , , , et al. The impact of sleep apnea on postoperative utilization of resources and adverse outcomes. Anesth Analg. 2014;118(2):407–418.
- , , , , , . Sleep‐disordered breathing and postoperative outcomes after bariatric surgery: analysis of the nationwide inpatient sample. Obes Surg. 2013;23(11):1842–1851.
- , , , , , . Sleep‐disordered breathing and postoperative outcomes after elective surgery: analysis of the nationwide inpatient sample. Chest. 2013;144:903–914.
- , , , , , . Prevalence, treatment and outcomes associated with obstructive sleep apnea among patients hospitalized with pneumonia. Chest. 2014;145(5):1032–1038.
- , , , et al. Experimental pain and opioid analgesia in volunteers at high risk for obstructive sleep apnea. PLoS One. 2013;8(1):e54807.
- , , , , . Increased CSF opioid activity in sleep apnea syndrome. Regression after successful treatment. Chest. 1989;96(2):250–254.
- , , , et al. Comparison of the relaxant effects of diazepam, flunitrazepam and midazolam on airway smooth muscle. Br J Anaesth. 1992;69(1):65–69.
- , . Effect of flurazepam on sleep‐disordered breathing and nocturnal oxygen desaturation in asymptomatic subjects. Am J Med. 1982;73(2):239–243.
- , , , , , . Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012;40(7):2102–2108.
- , , , , . Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*. Crit Care Med. 2014;42(4):841–848.
- , , , et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991;100(6):1619–1636.
- , , , , , . Predicting cardiac arrest on the wards: a nested case‐control study. Chest. 2012;141(5):1170–1176.
- , , , , , . Mortality of patients with respiratory insufficiency and adult respiratory distress syndrome after surgery: the obesity paradox. J Intensive Care Med. 2012;27(4):306–311.
- , , , et al. Body mass index and mortality in acute myocardial infarction patients. Am J Med. 2012(8);125:796–803.
- , , . Preconditioning with ischemia: a delay of lethal cell injury in ischemic myocardium. Circulation. 1986;74(5):1124–1136.
- , , , . Ischemic preconditioning slows energy metabolism and delays ultrastructural damage during a sustained ischemic episode. Circ Res. 1990;66(4):913–931.
- , , , et al. Transplantation of hypoxia‐preconditioned mesenchymal stem cells improves infarcted heart function via enhanced survival of implanted cells and angiogenesis. J Thorac Cardiovasc Surg. 2008;135(4):799–808.
- , , , et al. Hypoxic preconditioning with cobalt of bone marrow mesenchymal stem cells improves cell migration and enhances therapy for treatment of ischemic acute kidney injury. PLoS One. 2013;8(5):e62703.
- , . Human embryonic stem cell neural differentiation and enhanced cell survival promoted by hypoxic preconditioning. Cell Death Dis. 2010;1:e22.
- , , , et al. Ischemic pre‐conditioning enhances the mobilization and recruitment of bone marrow stem cells to protect against ischemia/reperfusion injury in the late phase. J Am Coll Cardiol. 2009;53(19):1814–1822.
- , , , et al. Hypoxic preconditioning enhances bone marrow mesenchymal stem cell migration via Kv2.1 channel and FAK activation. Am J Physiol Cell Physiol. 2011;301(2):C362–C372.
- , , , et al. In vitro hypoxic preconditioning of embryonic stem cells as a strategy of promoting cell survival and functional benefits after transplantation into the ischemic rat brain. Exp Neurol. 2008;210(2):656–670.
- , , , , . Transplantation of hypoxia preconditioned bone marrow mesenchymal stem cells enhances angiogenesis and neurogenesis after cerebral ischemia in rats. Neurobiol Dis. 2012;46(3):635–645.
- , , . Translation of remote ischaemic preconditioning into clinical practice. Lancet. 2009;374(9700):1557–1565.
- , , . Novel adjunctive treatments of myocardial infarction. World J Cardiol. 2014;6(6):434–443.
- , . Hypoxic‐preconditioning enhances the regenerative capacity of neural stem/progenitors in subventricular zone of newborn piglet brain. Stem Cell Res. 2013;11(2):669–686.
- , , , , . Ischemic preconditioning improves oxygen saturation and attenuates hypoxic pulmonary vasoconstriction at high altitude. High Alt Med Biol. 2014;15(2):155–161.
- , , , et al. Remote preconditioning improves maximal performance in highly trained athletes. Med Sci Sports Exerc. 2011;43(7):1280–1286.
- , , , . Obstructive sleep apnea‐hypopnea and related clinical features in a population‐based sample of subjects aged 30 to 70 yr. Am J Respir Crit Care Med. 2001;163(3 pt 1):685–689.
- , , , , , . The occurrence of sleep‐disordered breathing among middle‐aged adults. N Engl J Med. 1993;328(17):1230–1235.
- , , . Epidemiology of obstructive sleep apnea: a population health perspective. Am J Respir Crit Care Med. 2002;165(9):1217–1239.
- , , . Risk stratification of hospitalized patients on the wards. Chest. 2013;143(6):1758–1765.
- , , , , , . Increased prevalence of sleep‐disordered breathing in adults. Am J Epidemiol. 2013;177(9):1006–1014.
- , , , . Long‐term cardiovascular outcomes in men with obstructive sleep apnoea‐hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet. 2005;365(9464):1046–1053.
- , , , . Prospective study of the association between sleep‐disordered breathing and hypertension. N Engl J Med. 2000;342(19):1378–1384.
- , , , , , . Obstructive sleep apnea as a risk factor for stroke and death. N Engl J Med. 2005;353(19):2034–2041.
- , , , , . Obstructive sleep apnea and risk of cardiovascular events and all‐cause mortality: a decade‐long historical cohort study. PLoS Med. 2014;11(2):e1001599.
- , , , , , . Sleep apnea as an independent risk factor for all‐cause mortality: the Busselton Health Study. Sleep. 2008;31(8):1079–1085.
- , , , , . Postoperative complications in patients with obstructive sleep apnea. Chest. 2012;141(2):436–441.
- , , , , , . Meta‐analysis of the association between obstructive sleep apnoea and postoperative outcome. Br J Anaesth. 2012;109(6):897–906.
- , , , et al. The impact of sleep apnea on postoperative utilization of resources and adverse outcomes. Anesth Analg. 2014;118(2):407–418.
- , , , , , . Sleep‐disordered breathing and postoperative outcomes after bariatric surgery: analysis of the nationwide inpatient sample. Obes Surg. 2013;23(11):1842–1851.
- , , , , , . Sleep‐disordered breathing and postoperative outcomes after elective surgery: analysis of the nationwide inpatient sample. Chest. 2013;144:903–914.
- , , , , , . Prevalence, treatment and outcomes associated with obstructive sleep apnea among patients hospitalized with pneumonia. Chest. 2014;145(5):1032–1038.
- , , , et al. Experimental pain and opioid analgesia in volunteers at high risk for obstructive sleep apnea. PLoS One. 2013;8(1):e54807.
- , , , , . Increased CSF opioid activity in sleep apnea syndrome. Regression after successful treatment. Chest. 1989;96(2):250–254.
- , , , et al. Comparison of the relaxant effects of diazepam, flunitrazepam and midazolam on airway smooth muscle. Br J Anaesth. 1992;69(1):65–69.
- , . Effect of flurazepam on sleep‐disordered breathing and nocturnal oxygen desaturation in asymptomatic subjects. Am J Med. 1982;73(2):239–243.
- , , , , , . Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012;40(7):2102–2108.
- , , , , . Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*. Crit Care Med. 2014;42(4):841–848.
- , , , et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991;100(6):1619–1636.
- , , , , , . Predicting cardiac arrest on the wards: a nested case‐control study. Chest. 2012;141(5):1170–1176.
- , , , , , . Mortality of patients with respiratory insufficiency and adult respiratory distress syndrome after surgery: the obesity paradox. J Intensive Care Med. 2012;27(4):306–311.
- , , , et al. Body mass index and mortality in acute myocardial infarction patients. Am J Med. 2012(8);125:796–803.
- , , . Preconditioning with ischemia: a delay of lethal cell injury in ischemic myocardium. Circulation. 1986;74(5):1124–1136.
- , , , . Ischemic preconditioning slows energy metabolism and delays ultrastructural damage during a sustained ischemic episode. Circ Res. 1990;66(4):913–931.
- , , , et al. Transplantation of hypoxia‐preconditioned mesenchymal stem cells improves infarcted heart function via enhanced survival of implanted cells and angiogenesis. J Thorac Cardiovasc Surg. 2008;135(4):799–808.
- , , , et al. Hypoxic preconditioning with cobalt of bone marrow mesenchymal stem cells improves cell migration and enhances therapy for treatment of ischemic acute kidney injury. PLoS One. 2013;8(5):e62703.
- , . Human embryonic stem cell neural differentiation and enhanced cell survival promoted by hypoxic preconditioning. Cell Death Dis. 2010;1:e22.
- , , , et al. Ischemic pre‐conditioning enhances the mobilization and recruitment of bone marrow stem cells to protect against ischemia/reperfusion injury in the late phase. J Am Coll Cardiol. 2009;53(19):1814–1822.
- , , , et al. Hypoxic preconditioning enhances bone marrow mesenchymal stem cell migration via Kv2.1 channel and FAK activation. Am J Physiol Cell Physiol. 2011;301(2):C362–C372.
- , , , et al. In vitro hypoxic preconditioning of embryonic stem cells as a strategy of promoting cell survival and functional benefits after transplantation into the ischemic rat brain. Exp Neurol. 2008;210(2):656–670.
- , , , , . Transplantation of hypoxia preconditioned bone marrow mesenchymal stem cells enhances angiogenesis and neurogenesis after cerebral ischemia in rats. Neurobiol Dis. 2012;46(3):635–645.
- , , . Translation of remote ischaemic preconditioning into clinical practice. Lancet. 2009;374(9700):1557–1565.
- , , . Novel adjunctive treatments of myocardial infarction. World J Cardiol. 2014;6(6):434–443.
- , . Hypoxic‐preconditioning enhances the regenerative capacity of neural stem/progenitors in subventricular zone of newborn piglet brain. Stem Cell Res. 2013;11(2):669–686.
- , , , , . Ischemic preconditioning improves oxygen saturation and attenuates hypoxic pulmonary vasoconstriction at high altitude. High Alt Med Biol. 2014;15(2):155–161.
- , , , et al. Remote preconditioning improves maximal performance in highly trained athletes. Med Sci Sports Exerc. 2011;43(7):1280–1286.
- , , , . Obstructive sleep apnea‐hypopnea and related clinical features in a population‐based sample of subjects aged 30 to 70 yr. Am J Respir Crit Care Med. 2001;163(3 pt 1):685–689.
- , , , , , . The occurrence of sleep‐disordered breathing among middle‐aged adults. N Engl J Med. 1993;328(17):1230–1235.
- , , . Epidemiology of obstructive sleep apnea: a population health perspective. Am J Respir Crit Care Med. 2002;165(9):1217–1239.
- , , . Risk stratification of hospitalized patients on the wards. Chest. 2013;143(6):1758–1765.
© 2015 Society of Hospital Medicine