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Wearable devices show promise in monitoring multiple sclerosis
MILAN – , suggests a pilot study.
Twenty patients were enrolled, only half of whom correctly completed all of the assessments and wore the included smartwatch regularly. Importantly, the data reported back for analysis was in line with expectations, and the patient feedback was positive.
The tool kit “seems feasible and usable to remotely monitor multiple domains of health status in people with multiple sclerosis,” conclude Ludovico Pedullà, PhD, Italian Multiple Sclerosis Foundation, Genoa, and colleagues.
Further analysis of the dataset, including the artificial intelligence and machine-learning algorithms, may allow the prediction of “relevant changes throughout the course of multiple sclerosis” and anticipate the need for therapeutic interventions.
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Leveraging big data to improve outcomes
The authors note that the primary aim of the pan-European ALAMEDA project is to leverage “big data” through artificial intelligence and machine learning to provide “clinically actionable information” on patients with brain disorders that “complements medical recommendations” and thus improves treatment.
For the current pilot study, the researchers developed an integrated platform to collect patient-centered data from wearables and mobile devices using digital patient-reported outcomes (ePROs), with the aim of testing the resulting tool kit’s feasibility and usability in people with MS.
Dr. Pedullà said that they wanted to have “passive monitoring” of patients over the course of their daily lives and therefore searched for the best devices and the most relevant patient reported outcomes as well as used “innovative algorithms” to analyze the data to try to predict the disease course.
To reduce dropouts and increase adherence to the tool kit, they described the project to patients with MS and asked for their feedback to determine whether what they had designed was feasible from the patient perspective, Dr. Pedullà said.
This led to some changes in the way data were collected, and the team developed a social network channel so patients would be able to ask for support and stay engaged in the study.
Feasible with high levels of confidence
Twenty people with relapsing-remitting MS were enrolled, of whom 14 were women. The mean age was 37.8 years, and the mean disease duration was 9.1 years. The mean Expanded Disability Status Scale was 2.2.
The participants were asked to use the tool kit for 1 year, with half reaching the 6-month milestone. Participants correctly completed 53% of the scheduled ePROs and regularly wore the smartwatch without reporting discomfort.
The team reports that the data from the tool kit “are in line with those reported in the literature.”
It showed that participants took an average of 8,415 steps per day and completed 9.8 minutes of vigorous activity and 14.5 minutes of moderate activity daily. Daily sedentary minutes were 705.1.
Patients had a mean Perceived Deficit Questionnaire score of 25.2, a Beck Anxiety Inventory score of 17.3, a score on the 12-Item Multiple Sclerosis Walking Scale of 37.2, and an arm function on the Multiple Sclerosis Questionnaire of 47.4.
The mean Modified Fatigue Impact Scale score was 18.5, and the Pittsburgh Sleep Quality Index score was 25.2. The System Usability Scale revealed “high levels of confidence” with the tool kit, the team says, as well as “very high” intention of using it in the future.
Dr. Pedullà said that the researchers now want to evaluate the feasibility of the tool kit further by analyzing the adherence and usability data and targeting it to the patients who are most likely to use it.
They also want to determine not only whether the use of wearables in this way can predict relapse in multiple sclerosis but also disease progression, particularly as the current definitions are evolving.
Reducing daily step count
Approached for comment, Riley M. Bove, MD, MSc, Assistant Professor, UCSF Weill Institute for Neurosciences, San Francisco, said that the study is “very interesting and in line with what has been previously published.”
She pointed to a recent study that she co-authored, in which remote monitoring via a continuous step counter revealed that a decreasing average daily step count was associated with the worsening of standard ambulatory measures.
“There are nice benefits of an integrated platform” such as what was used in the current study, Dr. Bove noted, adding that it is “even better if it can also send the data to clinicians.”
The ALAMEDA project has received funding from the European Union’s Horizon 2020 research and innovation program. No relevant financial relationships declared.
A version of this article first appeared on Medscape.com.
MILAN – , suggests a pilot study.
Twenty patients were enrolled, only half of whom correctly completed all of the assessments and wore the included smartwatch regularly. Importantly, the data reported back for analysis was in line with expectations, and the patient feedback was positive.
The tool kit “seems feasible and usable to remotely monitor multiple domains of health status in people with multiple sclerosis,” conclude Ludovico Pedullà, PhD, Italian Multiple Sclerosis Foundation, Genoa, and colleagues.
Further analysis of the dataset, including the artificial intelligence and machine-learning algorithms, may allow the prediction of “relevant changes throughout the course of multiple sclerosis” and anticipate the need for therapeutic interventions.
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Leveraging big data to improve outcomes
The authors note that the primary aim of the pan-European ALAMEDA project is to leverage “big data” through artificial intelligence and machine learning to provide “clinically actionable information” on patients with brain disorders that “complements medical recommendations” and thus improves treatment.
For the current pilot study, the researchers developed an integrated platform to collect patient-centered data from wearables and mobile devices using digital patient-reported outcomes (ePROs), with the aim of testing the resulting tool kit’s feasibility and usability in people with MS.
Dr. Pedullà said that they wanted to have “passive monitoring” of patients over the course of their daily lives and therefore searched for the best devices and the most relevant patient reported outcomes as well as used “innovative algorithms” to analyze the data to try to predict the disease course.
To reduce dropouts and increase adherence to the tool kit, they described the project to patients with MS and asked for their feedback to determine whether what they had designed was feasible from the patient perspective, Dr. Pedullà said.
This led to some changes in the way data were collected, and the team developed a social network channel so patients would be able to ask for support and stay engaged in the study.
Feasible with high levels of confidence
Twenty people with relapsing-remitting MS were enrolled, of whom 14 were women. The mean age was 37.8 years, and the mean disease duration was 9.1 years. The mean Expanded Disability Status Scale was 2.2.
The participants were asked to use the tool kit for 1 year, with half reaching the 6-month milestone. Participants correctly completed 53% of the scheduled ePROs and regularly wore the smartwatch without reporting discomfort.
The team reports that the data from the tool kit “are in line with those reported in the literature.”
It showed that participants took an average of 8,415 steps per day and completed 9.8 minutes of vigorous activity and 14.5 minutes of moderate activity daily. Daily sedentary minutes were 705.1.
Patients had a mean Perceived Deficit Questionnaire score of 25.2, a Beck Anxiety Inventory score of 17.3, a score on the 12-Item Multiple Sclerosis Walking Scale of 37.2, and an arm function on the Multiple Sclerosis Questionnaire of 47.4.
The mean Modified Fatigue Impact Scale score was 18.5, and the Pittsburgh Sleep Quality Index score was 25.2. The System Usability Scale revealed “high levels of confidence” with the tool kit, the team says, as well as “very high” intention of using it in the future.
Dr. Pedullà said that the researchers now want to evaluate the feasibility of the tool kit further by analyzing the adherence and usability data and targeting it to the patients who are most likely to use it.
They also want to determine not only whether the use of wearables in this way can predict relapse in multiple sclerosis but also disease progression, particularly as the current definitions are evolving.
Reducing daily step count
Approached for comment, Riley M. Bove, MD, MSc, Assistant Professor, UCSF Weill Institute for Neurosciences, San Francisco, said that the study is “very interesting and in line with what has been previously published.”
She pointed to a recent study that she co-authored, in which remote monitoring via a continuous step counter revealed that a decreasing average daily step count was associated with the worsening of standard ambulatory measures.
“There are nice benefits of an integrated platform” such as what was used in the current study, Dr. Bove noted, adding that it is “even better if it can also send the data to clinicians.”
The ALAMEDA project has received funding from the European Union’s Horizon 2020 research and innovation program. No relevant financial relationships declared.
A version of this article first appeared on Medscape.com.
MILAN – , suggests a pilot study.
Twenty patients were enrolled, only half of whom correctly completed all of the assessments and wore the included smartwatch regularly. Importantly, the data reported back for analysis was in line with expectations, and the patient feedback was positive.
The tool kit “seems feasible and usable to remotely monitor multiple domains of health status in people with multiple sclerosis,” conclude Ludovico Pedullà, PhD, Italian Multiple Sclerosis Foundation, Genoa, and colleagues.
Further analysis of the dataset, including the artificial intelligence and machine-learning algorithms, may allow the prediction of “relevant changes throughout the course of multiple sclerosis” and anticipate the need for therapeutic interventions.
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Leveraging big data to improve outcomes
The authors note that the primary aim of the pan-European ALAMEDA project is to leverage “big data” through artificial intelligence and machine learning to provide “clinically actionable information” on patients with brain disorders that “complements medical recommendations” and thus improves treatment.
For the current pilot study, the researchers developed an integrated platform to collect patient-centered data from wearables and mobile devices using digital patient-reported outcomes (ePROs), with the aim of testing the resulting tool kit’s feasibility and usability in people with MS.
Dr. Pedullà said that they wanted to have “passive monitoring” of patients over the course of their daily lives and therefore searched for the best devices and the most relevant patient reported outcomes as well as used “innovative algorithms” to analyze the data to try to predict the disease course.
To reduce dropouts and increase adherence to the tool kit, they described the project to patients with MS and asked for their feedback to determine whether what they had designed was feasible from the patient perspective, Dr. Pedullà said.
This led to some changes in the way data were collected, and the team developed a social network channel so patients would be able to ask for support and stay engaged in the study.
Feasible with high levels of confidence
Twenty people with relapsing-remitting MS were enrolled, of whom 14 were women. The mean age was 37.8 years, and the mean disease duration was 9.1 years. The mean Expanded Disability Status Scale was 2.2.
The participants were asked to use the tool kit for 1 year, with half reaching the 6-month milestone. Participants correctly completed 53% of the scheduled ePROs and regularly wore the smartwatch without reporting discomfort.
The team reports that the data from the tool kit “are in line with those reported in the literature.”
It showed that participants took an average of 8,415 steps per day and completed 9.8 minutes of vigorous activity and 14.5 minutes of moderate activity daily. Daily sedentary minutes were 705.1.
Patients had a mean Perceived Deficit Questionnaire score of 25.2, a Beck Anxiety Inventory score of 17.3, a score on the 12-Item Multiple Sclerosis Walking Scale of 37.2, and an arm function on the Multiple Sclerosis Questionnaire of 47.4.
The mean Modified Fatigue Impact Scale score was 18.5, and the Pittsburgh Sleep Quality Index score was 25.2. The System Usability Scale revealed “high levels of confidence” with the tool kit, the team says, as well as “very high” intention of using it in the future.
Dr. Pedullà said that the researchers now want to evaluate the feasibility of the tool kit further by analyzing the adherence and usability data and targeting it to the patients who are most likely to use it.
They also want to determine not only whether the use of wearables in this way can predict relapse in multiple sclerosis but also disease progression, particularly as the current definitions are evolving.
Reducing daily step count
Approached for comment, Riley M. Bove, MD, MSc, Assistant Professor, UCSF Weill Institute for Neurosciences, San Francisco, said that the study is “very interesting and in line with what has been previously published.”
She pointed to a recent study that she co-authored, in which remote monitoring via a continuous step counter revealed that a decreasing average daily step count was associated with the worsening of standard ambulatory measures.
“There are nice benefits of an integrated platform” such as what was used in the current study, Dr. Bove noted, adding that it is “even better if it can also send the data to clinicians.”
The ALAMEDA project has received funding from the European Union’s Horizon 2020 research and innovation program. No relevant financial relationships declared.
A version of this article first appeared on Medscape.com.
Can some patients with esophageal cancer avoid surgery?
MADRID – , findings from the Dutch SANO trial suggest.
After 2 years, researchers found no significant differences in overall and disease-free survival between patients on active surveillance and those who received surgery either immediately following neoadjuvant chemoradiotherapy or who switched from active surveillance to surgery.
Overall, patients who underwent active surveillance had “noninferior overall survival at 2 years,” said Berend J. Van der Wilk, PhD candidate, Erasmus University, Rotterdam, the Netherlands, who presented the findings at the annual meeting of the European Society for Medical Oncology.
Over the 2-year follow-up, at least 35% of patients on active surveillance were spared surgery. Patients on active surveillance who experienced locoregional regrowth could still undergo surgery, Mr. Van der Wilk said.
Magnus Nilsson, MD, PhD, the invited discussant, who was not involved in the research, said performing such a conceptually important and complex trial was a “huge achievement.” However, Dr. Nilsson highlighted some “major concerns” with the trial design, which could affect the generalizability of the findings.
Avoiding surgery?
Esophagectomy remains the “keystone of curative treatment for esophageal cancer,” Mr. Van der Wilks explained. However, this operation is a “major surgical procedure” that comes with a mortality rate of up to 5%. As many as 59% of patients experience complications.
The CROSS trial, which included more than 360 patients with esophageal or esophagogastric junction cancer, found that neoadjuvant chemoradiotherapy improved survival among patients with potentially curable disease; 29% of patients achieved a pathologic complete response.
Mr. Van der Wilk said those strong outcomes create some uncertainty as to whether all patients need standard surgery after chemoradiotherapy.
In other words, Mr. Van der Wilk asked, “Should we be willing to follow an active surveillance, organ-sparing strategy for patients with a clinical response?”
An active surveillance strategy, he said, would require frequent evaluations of the patient’s clinical response. Surgery would be performed only in cases of proven residual tumor in which there were no distant metastases. The potential pitfall of an active surveillance approach is that patients may develop unresectable tumor regrowths, “possibly resulting in inferior overall survival.”
To compare active surveillance with standard surgery, the team conducted a phase 3 noninferiority stepped-wedge cluster randomized trial involving patients with locally advanced esophageal cancer.
Patients received neoadjuvant chemoradiotherapy with carboplatin and paclitaxel for 5 weeks. Concurrent radiotherapy was delivered at 41.4 Gy in 23 fractions, 5 days per week, as in the CROSS trial.
More than 300 patients who achieved a complete clinical response 12 weeks after completing chemoradiotherapy were randomly assigned to undergo standard surgery or active surveillance. Surgery was performed for those with subsequent tumor regrowth.
Overall, 198 patients underwent active surveillance, and 111 patients underwent standard surgery. The two groups were well balanced in terms of median age, sex distribution, proportion of adenocarcinomas, and World Health Organization performance scores. At the last patient assessment, on July 6, 2023, the median follow-up was 38 months.
Overall, 101 of 111 patients in the standard surgery arm and 83 of 198 (42%) in the active surveillance group had surgery. The time to surgery in the active surveillance arm was 5.9 months, compared with 0.7 months with standard surgery. For both groups, the R0 resection rate was 98%.
Mr. Van der Wilk reported no significant difference in overall survival between the active surveillance and standard surgery groups (hazard ratio for death, 1.14; 95% confidence interval, 0.74-0.78; P = .55). Overall survival in the active surveillance group was noninferior to that in the standard surgery group at 2 years. Noninferiority was defined as an overall survival difference between the two arms of less than 15%.
Mr. Van der Wilk also reported no significant difference in disease-free survival between the active surveillance and the standard surgery groups – 35 months with active surveillance, and 49 months with surgery (HR, 1.35; P = .15). At 30 months following neoadjuvant chemoradiotherapy, 43% of patients on active surveillance and 34% with standard surgery developed distant metastases, but the difference was not significant (odds ratio, 1.45; P = .18).
Among the patients in the active surveillance arm who had a complete response, 35% (n = 69) had a persistent clinical response, while 17% (33 patients) developed distant metastases, and 48% (n = 96) experienced locoregional growth. The postoperative 90-day mortality was 4% in the active surveillance group and 5% in the surgery group.
Health-related quality of life was significantly better at 6 and 9 months in the active surveillance group, Mr. Van der Wilk noted.
Although Dr. Nilsson, the invited discussant, highlighted the importance of the trial, he also expressed concern over the trial design.
The intention-to-treat analysis was contaminated, Dr. Nilsson said, because the trial design allowed for one crossover, but patients in the trial crossed over at two time points – 35 patients who were initially assigned to standard surgery crossed over to the active surveillance arm, and later, seven patients from a preSANO trial were included in the active surveillance arm.
Dr. Nilsson also expressed concern about mixing squamous cell carcinoma and adenocarcinoma histologies in the study. If the authors had distinguished patients with squamous cell carcinoma and those with adenocarcinoma in each arm, there may have a difference in overall survival, given that squamous cell carcinoma is much easier to treat.
The study also included some patients who did not have a complete clinical response and whose surgery was delayed by more than 10 weeks – a practice that, Dr. Nilsson said, “does not really seem to be safe.” A recent study led by Dr. Nilsson found that delaying surgery for 10-12 weeks in comparison with 4-6 weeks did not improve histologic complete response or other pathologic endpoints and may have led to worse survival.
“I’m afraid it’s not really certain that it’s safe to prolong surgery more than 10 weeks or longer in the clinical noncomplete responders,” said Dr. Nilsson, from the department of clinical science, intervention, and technology, Karolinska Institute, Stockholm.
Overall, he said, the study “suggests that survival may be noninferior” among patients on active surveillance in comparison with those who undergo immediate surgery, but the findings need to be confirmed in a trial with a more stringent intention-to-treat analysis that is stratified by histologic subtypes.
The study was funded by the Dutch Cancer Society and the Netherlands Organisation for Health Research and Development (ZonMw). Mr. Van der Wilk has disclosed no relevant financial relationships. Dr. Nilsson has relationships with Medtronic, Intuitive Surgical, Bristol-Myers Squibb, and Merck Sharp & Dohme, from which he received no personal financial benefit.
A version of this article first appeared on Medscape.com.
MADRID – , findings from the Dutch SANO trial suggest.
After 2 years, researchers found no significant differences in overall and disease-free survival between patients on active surveillance and those who received surgery either immediately following neoadjuvant chemoradiotherapy or who switched from active surveillance to surgery.
Overall, patients who underwent active surveillance had “noninferior overall survival at 2 years,” said Berend J. Van der Wilk, PhD candidate, Erasmus University, Rotterdam, the Netherlands, who presented the findings at the annual meeting of the European Society for Medical Oncology.
Over the 2-year follow-up, at least 35% of patients on active surveillance were spared surgery. Patients on active surveillance who experienced locoregional regrowth could still undergo surgery, Mr. Van der Wilk said.
Magnus Nilsson, MD, PhD, the invited discussant, who was not involved in the research, said performing such a conceptually important and complex trial was a “huge achievement.” However, Dr. Nilsson highlighted some “major concerns” with the trial design, which could affect the generalizability of the findings.
Avoiding surgery?
Esophagectomy remains the “keystone of curative treatment for esophageal cancer,” Mr. Van der Wilks explained. However, this operation is a “major surgical procedure” that comes with a mortality rate of up to 5%. As many as 59% of patients experience complications.
The CROSS trial, which included more than 360 patients with esophageal or esophagogastric junction cancer, found that neoadjuvant chemoradiotherapy improved survival among patients with potentially curable disease; 29% of patients achieved a pathologic complete response.
Mr. Van der Wilk said those strong outcomes create some uncertainty as to whether all patients need standard surgery after chemoradiotherapy.
In other words, Mr. Van der Wilk asked, “Should we be willing to follow an active surveillance, organ-sparing strategy for patients with a clinical response?”
An active surveillance strategy, he said, would require frequent evaluations of the patient’s clinical response. Surgery would be performed only in cases of proven residual tumor in which there were no distant metastases. The potential pitfall of an active surveillance approach is that patients may develop unresectable tumor regrowths, “possibly resulting in inferior overall survival.”
To compare active surveillance with standard surgery, the team conducted a phase 3 noninferiority stepped-wedge cluster randomized trial involving patients with locally advanced esophageal cancer.
Patients received neoadjuvant chemoradiotherapy with carboplatin and paclitaxel for 5 weeks. Concurrent radiotherapy was delivered at 41.4 Gy in 23 fractions, 5 days per week, as in the CROSS trial.
More than 300 patients who achieved a complete clinical response 12 weeks after completing chemoradiotherapy were randomly assigned to undergo standard surgery or active surveillance. Surgery was performed for those with subsequent tumor regrowth.
Overall, 198 patients underwent active surveillance, and 111 patients underwent standard surgery. The two groups were well balanced in terms of median age, sex distribution, proportion of adenocarcinomas, and World Health Organization performance scores. At the last patient assessment, on July 6, 2023, the median follow-up was 38 months.
Overall, 101 of 111 patients in the standard surgery arm and 83 of 198 (42%) in the active surveillance group had surgery. The time to surgery in the active surveillance arm was 5.9 months, compared with 0.7 months with standard surgery. For both groups, the R0 resection rate was 98%.
Mr. Van der Wilk reported no significant difference in overall survival between the active surveillance and standard surgery groups (hazard ratio for death, 1.14; 95% confidence interval, 0.74-0.78; P = .55). Overall survival in the active surveillance group was noninferior to that in the standard surgery group at 2 years. Noninferiority was defined as an overall survival difference between the two arms of less than 15%.
Mr. Van der Wilk also reported no significant difference in disease-free survival between the active surveillance and the standard surgery groups – 35 months with active surveillance, and 49 months with surgery (HR, 1.35; P = .15). At 30 months following neoadjuvant chemoradiotherapy, 43% of patients on active surveillance and 34% with standard surgery developed distant metastases, but the difference was not significant (odds ratio, 1.45; P = .18).
Among the patients in the active surveillance arm who had a complete response, 35% (n = 69) had a persistent clinical response, while 17% (33 patients) developed distant metastases, and 48% (n = 96) experienced locoregional growth. The postoperative 90-day mortality was 4% in the active surveillance group and 5% in the surgery group.
Health-related quality of life was significantly better at 6 and 9 months in the active surveillance group, Mr. Van der Wilk noted.
Although Dr. Nilsson, the invited discussant, highlighted the importance of the trial, he also expressed concern over the trial design.
The intention-to-treat analysis was contaminated, Dr. Nilsson said, because the trial design allowed for one crossover, but patients in the trial crossed over at two time points – 35 patients who were initially assigned to standard surgery crossed over to the active surveillance arm, and later, seven patients from a preSANO trial were included in the active surveillance arm.
Dr. Nilsson also expressed concern about mixing squamous cell carcinoma and adenocarcinoma histologies in the study. If the authors had distinguished patients with squamous cell carcinoma and those with adenocarcinoma in each arm, there may have a difference in overall survival, given that squamous cell carcinoma is much easier to treat.
The study also included some patients who did not have a complete clinical response and whose surgery was delayed by more than 10 weeks – a practice that, Dr. Nilsson said, “does not really seem to be safe.” A recent study led by Dr. Nilsson found that delaying surgery for 10-12 weeks in comparison with 4-6 weeks did not improve histologic complete response or other pathologic endpoints and may have led to worse survival.
“I’m afraid it’s not really certain that it’s safe to prolong surgery more than 10 weeks or longer in the clinical noncomplete responders,” said Dr. Nilsson, from the department of clinical science, intervention, and technology, Karolinska Institute, Stockholm.
Overall, he said, the study “suggests that survival may be noninferior” among patients on active surveillance in comparison with those who undergo immediate surgery, but the findings need to be confirmed in a trial with a more stringent intention-to-treat analysis that is stratified by histologic subtypes.
The study was funded by the Dutch Cancer Society and the Netherlands Organisation for Health Research and Development (ZonMw). Mr. Van der Wilk has disclosed no relevant financial relationships. Dr. Nilsson has relationships with Medtronic, Intuitive Surgical, Bristol-Myers Squibb, and Merck Sharp & Dohme, from which he received no personal financial benefit.
A version of this article first appeared on Medscape.com.
MADRID – , findings from the Dutch SANO trial suggest.
After 2 years, researchers found no significant differences in overall and disease-free survival between patients on active surveillance and those who received surgery either immediately following neoadjuvant chemoradiotherapy or who switched from active surveillance to surgery.
Overall, patients who underwent active surveillance had “noninferior overall survival at 2 years,” said Berend J. Van der Wilk, PhD candidate, Erasmus University, Rotterdam, the Netherlands, who presented the findings at the annual meeting of the European Society for Medical Oncology.
Over the 2-year follow-up, at least 35% of patients on active surveillance were spared surgery. Patients on active surveillance who experienced locoregional regrowth could still undergo surgery, Mr. Van der Wilk said.
Magnus Nilsson, MD, PhD, the invited discussant, who was not involved in the research, said performing such a conceptually important and complex trial was a “huge achievement.” However, Dr. Nilsson highlighted some “major concerns” with the trial design, which could affect the generalizability of the findings.
Avoiding surgery?
Esophagectomy remains the “keystone of curative treatment for esophageal cancer,” Mr. Van der Wilks explained. However, this operation is a “major surgical procedure” that comes with a mortality rate of up to 5%. As many as 59% of patients experience complications.
The CROSS trial, which included more than 360 patients with esophageal or esophagogastric junction cancer, found that neoadjuvant chemoradiotherapy improved survival among patients with potentially curable disease; 29% of patients achieved a pathologic complete response.
Mr. Van der Wilk said those strong outcomes create some uncertainty as to whether all patients need standard surgery after chemoradiotherapy.
In other words, Mr. Van der Wilk asked, “Should we be willing to follow an active surveillance, organ-sparing strategy for patients with a clinical response?”
An active surveillance strategy, he said, would require frequent evaluations of the patient’s clinical response. Surgery would be performed only in cases of proven residual tumor in which there were no distant metastases. The potential pitfall of an active surveillance approach is that patients may develop unresectable tumor regrowths, “possibly resulting in inferior overall survival.”
To compare active surveillance with standard surgery, the team conducted a phase 3 noninferiority stepped-wedge cluster randomized trial involving patients with locally advanced esophageal cancer.
Patients received neoadjuvant chemoradiotherapy with carboplatin and paclitaxel for 5 weeks. Concurrent radiotherapy was delivered at 41.4 Gy in 23 fractions, 5 days per week, as in the CROSS trial.
More than 300 patients who achieved a complete clinical response 12 weeks after completing chemoradiotherapy were randomly assigned to undergo standard surgery or active surveillance. Surgery was performed for those with subsequent tumor regrowth.
Overall, 198 patients underwent active surveillance, and 111 patients underwent standard surgery. The two groups were well balanced in terms of median age, sex distribution, proportion of adenocarcinomas, and World Health Organization performance scores. At the last patient assessment, on July 6, 2023, the median follow-up was 38 months.
Overall, 101 of 111 patients in the standard surgery arm and 83 of 198 (42%) in the active surveillance group had surgery. The time to surgery in the active surveillance arm was 5.9 months, compared with 0.7 months with standard surgery. For both groups, the R0 resection rate was 98%.
Mr. Van der Wilk reported no significant difference in overall survival between the active surveillance and standard surgery groups (hazard ratio for death, 1.14; 95% confidence interval, 0.74-0.78; P = .55). Overall survival in the active surveillance group was noninferior to that in the standard surgery group at 2 years. Noninferiority was defined as an overall survival difference between the two arms of less than 15%.
Mr. Van der Wilk also reported no significant difference in disease-free survival between the active surveillance and the standard surgery groups – 35 months with active surveillance, and 49 months with surgery (HR, 1.35; P = .15). At 30 months following neoadjuvant chemoradiotherapy, 43% of patients on active surveillance and 34% with standard surgery developed distant metastases, but the difference was not significant (odds ratio, 1.45; P = .18).
Among the patients in the active surveillance arm who had a complete response, 35% (n = 69) had a persistent clinical response, while 17% (33 patients) developed distant metastases, and 48% (n = 96) experienced locoregional growth. The postoperative 90-day mortality was 4% in the active surveillance group and 5% in the surgery group.
Health-related quality of life was significantly better at 6 and 9 months in the active surveillance group, Mr. Van der Wilk noted.
Although Dr. Nilsson, the invited discussant, highlighted the importance of the trial, he also expressed concern over the trial design.
The intention-to-treat analysis was contaminated, Dr. Nilsson said, because the trial design allowed for one crossover, but patients in the trial crossed over at two time points – 35 patients who were initially assigned to standard surgery crossed over to the active surveillance arm, and later, seven patients from a preSANO trial were included in the active surveillance arm.
Dr. Nilsson also expressed concern about mixing squamous cell carcinoma and adenocarcinoma histologies in the study. If the authors had distinguished patients with squamous cell carcinoma and those with adenocarcinoma in each arm, there may have a difference in overall survival, given that squamous cell carcinoma is much easier to treat.
The study also included some patients who did not have a complete clinical response and whose surgery was delayed by more than 10 weeks – a practice that, Dr. Nilsson said, “does not really seem to be safe.” A recent study led by Dr. Nilsson found that delaying surgery for 10-12 weeks in comparison with 4-6 weeks did not improve histologic complete response or other pathologic endpoints and may have led to worse survival.
“I’m afraid it’s not really certain that it’s safe to prolong surgery more than 10 weeks or longer in the clinical noncomplete responders,” said Dr. Nilsson, from the department of clinical science, intervention, and technology, Karolinska Institute, Stockholm.
Overall, he said, the study “suggests that survival may be noninferior” among patients on active surveillance in comparison with those who undergo immediate surgery, but the findings need to be confirmed in a trial with a more stringent intention-to-treat analysis that is stratified by histologic subtypes.
The study was funded by the Dutch Cancer Society and the Netherlands Organisation for Health Research and Development (ZonMw). Mr. Van der Wilk has disclosed no relevant financial relationships. Dr. Nilsson has relationships with Medtronic, Intuitive Surgical, Bristol-Myers Squibb, and Merck Sharp & Dohme, from which he received no personal financial benefit.
A version of this article first appeared on Medscape.com.
Smart bracelet may predict mood changes in bipolar disorder
BARCELONA – early research suggests.
In a small observational pilot study, researchers found the E4 wristband (Empatica Inc) was able to detect fluctuations in mood.
The results highlight the potential of EDA to serve as an objective BD biomarker, noted the investigators, led by Diego Hidalgo-Mazzei, MD, PhD, Bipolar and Depressive Disorders Unit, University of Barcelona.
The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress.
A need for objective markers
The evaluation of BD currently consists of clinical interviews, questionnaires, and scales, which largely rely on physician assessment, highlighting the need for objective biomarkers.
Previous studies show that EDA, which tracks changes in the skin due to sweat gland activity in response to psychological stimuli, is reduced in unipolar depression.
The researchers hypothesized that EDA could be a biomarker of mood changes in patients with BD. They recruited 38 patients experiencing manic (n = 12) or depressive (n = 9) episodes or who were euthymic (n = 17) and compared their responses with those of 19 healthy control persons.
Study participants were asked to wear the wristband continuously for approximately 48 hours to measure EDA, motion-based activity, blood volume pulse, and skin temperature.
The 48-hour monitoring session was determined by the battery life of the device, Dr. Hidalgo-Mazzei said in an interview.
The acute-phase patients in the study had three sessions at different time points – one during the acute state, another when the clinician determined there was a response to treatment, and again at remission. Euthymic patients and healthy control persons had a single monitoring session.
Dr. Hidalgo-Mazzei said the study’s protocol is unique because it involves unusually long sessions with the device. In this setup, each sensor collects a sample every second, resulting in highly detailed and granular data.
“At the end, it is a trade-off, as handling such an enormous amount of data for each session requires equally large preprocessing, computing power, and analysis,” he said.
Dr. Hidalgo-Mazzei characterized compliance with the device as “outstanding” for the majority of study participants.
Results showed that mean EDA was notably and significantly lower in BD patients during depressive episodes in comparison with those in other groups. Patients with depression also had significantly less frequent EDA peaks per minute (P = .001 for both).
There were also significant differences in EDA measures between baseline and after treatment in the acute BD groups.
Patients with depression had significant increases in mean EDA (P = .033), EDA peaks per minute (P = .002), and the mean amplitude of EDA peaks (P = .001) from baseline, while manic patients experienced a decrease in the mean amplitude of EDA peaks (P = .001).
It is important for the patient and doctor to know how and when mood fluctuations take place, said Dr. Hidalgo-Mazzei, because treatment for manic and depressive states differ.
“Until now, these mood swings have mostly been diagnosed subjectively, through interview with doctors or by questionnaires, and this had led to real difficulties.
“Arriving at the correct drug is difficult, with only around 30% to 40% of treated individuals having the expected response. We hope that the additional information these systems can provide will give us greater certainty in treating patients.”
However, Dr. Hidalgo-Mazzei said that is still a long way off, noting that this is an exploratory, observational study.
“We need to look at a larger sample and use machine learning to analyze all the biomarkers collected by the wearers to confirm the findings,” he said.
A true biomarker?
In a comment, Joseph F. Goldberg, MD, clinical professor of psychiatry at Icahn School of Medicine at Mount Sinai, New York, said the study is an “interesting use of this technology to differentiate physiological correlates of mood states.”
However, he said the findings are limited and preliminary because the sample sizes were small and the measures weren’t repeated.
In addition, medications or other factors that may influence electrophysiologic activity, such as anxiety or panic, were not considered, and Dr. Goldberg noted the researchers did not compare the results with those in patients with other diagnoses.
“So, I don’t think one could call this a biomarker in the sense of having diagnostic specificity,” he said, making the comparison with body temperature, which “goes up in an infection; but fever alone doesn’t tell us much about the nature or cause of a presumed infection. More studies are needed before generalizable conclusion can be drawn.”
Also commenting on the research, Paolo Ossola, MD, PhD, assistant professor of psychiatry, department of medicine and surgery, University of Parma, Italy, described the study as exploratory but preliminary.
He said the researchers have “laid the foundation for a new approach to diagnosing and treating bipolar disorders.
“The shift from the subjective to the biological level could also promote understanding of the underlying mechanistic dynamics of mood swings.”
The study was funded by the Instituto de Salud Carlos III and a Baszucki Brain Research Fund grant from the Milken Foundation. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
BARCELONA – early research suggests.
In a small observational pilot study, researchers found the E4 wristband (Empatica Inc) was able to detect fluctuations in mood.
The results highlight the potential of EDA to serve as an objective BD biomarker, noted the investigators, led by Diego Hidalgo-Mazzei, MD, PhD, Bipolar and Depressive Disorders Unit, University of Barcelona.
The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress.
A need for objective markers
The evaluation of BD currently consists of clinical interviews, questionnaires, and scales, which largely rely on physician assessment, highlighting the need for objective biomarkers.
Previous studies show that EDA, which tracks changes in the skin due to sweat gland activity in response to psychological stimuli, is reduced in unipolar depression.
The researchers hypothesized that EDA could be a biomarker of mood changes in patients with BD. They recruited 38 patients experiencing manic (n = 12) or depressive (n = 9) episodes or who were euthymic (n = 17) and compared their responses with those of 19 healthy control persons.
Study participants were asked to wear the wristband continuously for approximately 48 hours to measure EDA, motion-based activity, blood volume pulse, and skin temperature.
The 48-hour monitoring session was determined by the battery life of the device, Dr. Hidalgo-Mazzei said in an interview.
The acute-phase patients in the study had three sessions at different time points – one during the acute state, another when the clinician determined there was a response to treatment, and again at remission. Euthymic patients and healthy control persons had a single monitoring session.
Dr. Hidalgo-Mazzei said the study’s protocol is unique because it involves unusually long sessions with the device. In this setup, each sensor collects a sample every second, resulting in highly detailed and granular data.
“At the end, it is a trade-off, as handling such an enormous amount of data for each session requires equally large preprocessing, computing power, and analysis,” he said.
Dr. Hidalgo-Mazzei characterized compliance with the device as “outstanding” for the majority of study participants.
Results showed that mean EDA was notably and significantly lower in BD patients during depressive episodes in comparison with those in other groups. Patients with depression also had significantly less frequent EDA peaks per minute (P = .001 for both).
There were also significant differences in EDA measures between baseline and after treatment in the acute BD groups.
Patients with depression had significant increases in mean EDA (P = .033), EDA peaks per minute (P = .002), and the mean amplitude of EDA peaks (P = .001) from baseline, while manic patients experienced a decrease in the mean amplitude of EDA peaks (P = .001).
It is important for the patient and doctor to know how and when mood fluctuations take place, said Dr. Hidalgo-Mazzei, because treatment for manic and depressive states differ.
“Until now, these mood swings have mostly been diagnosed subjectively, through interview with doctors or by questionnaires, and this had led to real difficulties.
“Arriving at the correct drug is difficult, with only around 30% to 40% of treated individuals having the expected response. We hope that the additional information these systems can provide will give us greater certainty in treating patients.”
However, Dr. Hidalgo-Mazzei said that is still a long way off, noting that this is an exploratory, observational study.
“We need to look at a larger sample and use machine learning to analyze all the biomarkers collected by the wearers to confirm the findings,” he said.
A true biomarker?
In a comment, Joseph F. Goldberg, MD, clinical professor of psychiatry at Icahn School of Medicine at Mount Sinai, New York, said the study is an “interesting use of this technology to differentiate physiological correlates of mood states.”
However, he said the findings are limited and preliminary because the sample sizes were small and the measures weren’t repeated.
In addition, medications or other factors that may influence electrophysiologic activity, such as anxiety or panic, were not considered, and Dr. Goldberg noted the researchers did not compare the results with those in patients with other diagnoses.
“So, I don’t think one could call this a biomarker in the sense of having diagnostic specificity,” he said, making the comparison with body temperature, which “goes up in an infection; but fever alone doesn’t tell us much about the nature or cause of a presumed infection. More studies are needed before generalizable conclusion can be drawn.”
Also commenting on the research, Paolo Ossola, MD, PhD, assistant professor of psychiatry, department of medicine and surgery, University of Parma, Italy, described the study as exploratory but preliminary.
He said the researchers have “laid the foundation for a new approach to diagnosing and treating bipolar disorders.
“The shift from the subjective to the biological level could also promote understanding of the underlying mechanistic dynamics of mood swings.”
The study was funded by the Instituto de Salud Carlos III and a Baszucki Brain Research Fund grant from the Milken Foundation. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
BARCELONA – early research suggests.
In a small observational pilot study, researchers found the E4 wristband (Empatica Inc) was able to detect fluctuations in mood.
The results highlight the potential of EDA to serve as an objective BD biomarker, noted the investigators, led by Diego Hidalgo-Mazzei, MD, PhD, Bipolar and Depressive Disorders Unit, University of Barcelona.
The findings were presented at the 36th European College of Neuropsychopharmacology (ECNP) Congress.
A need for objective markers
The evaluation of BD currently consists of clinical interviews, questionnaires, and scales, which largely rely on physician assessment, highlighting the need for objective biomarkers.
Previous studies show that EDA, which tracks changes in the skin due to sweat gland activity in response to psychological stimuli, is reduced in unipolar depression.
The researchers hypothesized that EDA could be a biomarker of mood changes in patients with BD. They recruited 38 patients experiencing manic (n = 12) or depressive (n = 9) episodes or who were euthymic (n = 17) and compared their responses with those of 19 healthy control persons.
Study participants were asked to wear the wristband continuously for approximately 48 hours to measure EDA, motion-based activity, blood volume pulse, and skin temperature.
The 48-hour monitoring session was determined by the battery life of the device, Dr. Hidalgo-Mazzei said in an interview.
The acute-phase patients in the study had three sessions at different time points – one during the acute state, another when the clinician determined there was a response to treatment, and again at remission. Euthymic patients and healthy control persons had a single monitoring session.
Dr. Hidalgo-Mazzei said the study’s protocol is unique because it involves unusually long sessions with the device. In this setup, each sensor collects a sample every second, resulting in highly detailed and granular data.
“At the end, it is a trade-off, as handling such an enormous amount of data for each session requires equally large preprocessing, computing power, and analysis,” he said.
Dr. Hidalgo-Mazzei characterized compliance with the device as “outstanding” for the majority of study participants.
Results showed that mean EDA was notably and significantly lower in BD patients during depressive episodes in comparison with those in other groups. Patients with depression also had significantly less frequent EDA peaks per minute (P = .001 for both).
There were also significant differences in EDA measures between baseline and after treatment in the acute BD groups.
Patients with depression had significant increases in mean EDA (P = .033), EDA peaks per minute (P = .002), and the mean amplitude of EDA peaks (P = .001) from baseline, while manic patients experienced a decrease in the mean amplitude of EDA peaks (P = .001).
It is important for the patient and doctor to know how and when mood fluctuations take place, said Dr. Hidalgo-Mazzei, because treatment for manic and depressive states differ.
“Until now, these mood swings have mostly been diagnosed subjectively, through interview with doctors or by questionnaires, and this had led to real difficulties.
“Arriving at the correct drug is difficult, with only around 30% to 40% of treated individuals having the expected response. We hope that the additional information these systems can provide will give us greater certainty in treating patients.”
However, Dr. Hidalgo-Mazzei said that is still a long way off, noting that this is an exploratory, observational study.
“We need to look at a larger sample and use machine learning to analyze all the biomarkers collected by the wearers to confirm the findings,” he said.
A true biomarker?
In a comment, Joseph F. Goldberg, MD, clinical professor of psychiatry at Icahn School of Medicine at Mount Sinai, New York, said the study is an “interesting use of this technology to differentiate physiological correlates of mood states.”
However, he said the findings are limited and preliminary because the sample sizes were small and the measures weren’t repeated.
In addition, medications or other factors that may influence electrophysiologic activity, such as anxiety or panic, were not considered, and Dr. Goldberg noted the researchers did not compare the results with those in patients with other diagnoses.
“So, I don’t think one could call this a biomarker in the sense of having diagnostic specificity,” he said, making the comparison with body temperature, which “goes up in an infection; but fever alone doesn’t tell us much about the nature or cause of a presumed infection. More studies are needed before generalizable conclusion can be drawn.”
Also commenting on the research, Paolo Ossola, MD, PhD, assistant professor of psychiatry, department of medicine and surgery, University of Parma, Italy, described the study as exploratory but preliminary.
He said the researchers have “laid the foundation for a new approach to diagnosing and treating bipolar disorders.
“The shift from the subjective to the biological level could also promote understanding of the underlying mechanistic dynamics of mood swings.”
The study was funded by the Instituto de Salud Carlos III and a Baszucki Brain Research Fund grant from the Milken Foundation. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
AT ECNP 2023
MS-tailored weight loss program achieves meaningful results
MILAN – results of a new trial show.
Seventy patients with MS and a high body mass index (BMI) were randomized to receive a multifaceted weight loss program or treatment as usual, resulting in almost two-thirds of the intervention group patients losing at least 5% of their body weight.
“Our weight loss intervention achieved clinically significant weight loss and improved mental quality of life,” said study presenter Sharon G. Lynch, MD, professor in the department of neurology at the University of Kansas Medical Center, Kansas City.
The results also showed weight loss “was associated with improved mobility, reduced fatigability, and improved physical quality of life.”
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Obesity linked to MS progression
Dr. Lynch noted that almost 40% of people with MS have comorbid obesity, and that obesity “is associated with developing MS in some studies, and also disease progression.” Moreover, MS and obesity share common chronic symptoms, particularly mobility problems, depression, fatigue, and reduced quality of life.
Despite this, no randomized controlled trials have been specifically designed to help people with MS lose weight, he noted.
The team therefore examined the efficacy of a behavioral weight loss program designed for patients with the disease, as well as the impact of weight loss on mobility and other chronic symptoms.
The participants were required to be English speaking, with access to a telephone and/or computer, and to have a confirmed diagnosis of MS. They also had to be aged 18-70 years, have a BMI of 29-50 kg/m2, and have a Patient-Determined Disease Steps (PDDS) score of less than 4.
The patients were randomly assigned to receive either a weight loss intervention or brief health education and treatment as usual. They were assessed at 6 months to measure their weight loss, mobility, and self-reported quality of life and perceived fatigability.
Dr. Lynch said the intervention was “fairly time intensive,” with an hour-long telehealth group weight loss session every week for 24 weeks, as well as monthly individual sessions for 6 months.
The participants were provided with a Fitbit activity tracker, a set of Bluetooth-enabled weighing scales, and access to the Lose It! weight loss app.
Caloric restriction was encouraged, with a focus on increasing intake of fruits and vegetables, alongside a target of 150 minutes per week of moderate to vigorous physical activity, in line with Centers for Disease Control and Prevention and American Heart Association recommendations.
Significant loss in body weight
Seventy individuals with MS took part in the trial, of whom 83% were female and 88% were White, 9% African American, and 3% Hispanic or Latino. The mean age was 46.7 years, and the mean number of years in education was 11.8.
The vast majority (96%) of the participants had relapsing remitting MS, at a mean disease duration of 10.9 years, and 82% had a score of 0 or 1 on the PDDS.
Dr. Lynch showed that participants in the intervention group lost, over the course of the study, 8.6% of their total body weight, compared with a loss of 0.7% among controls (P < .001).
Moreover, 65% of the intervention group lost at least 5% of their body weight, whereas 41% lost at least 10% of their body weight, which again was significantly higher than that seen in the control group (P < .001).
There was also a significant increase in moderate to vigorous physical activity in the intervention group as measured by accelerometry (P < .05), although Dr. Lynch pointed out this “did not necessarily correlate with their weight loss.”
Dr. Lynch showed there were significant differences across a range of anthropometric measures from baseline to follow-up between the intervention and control groups.
The adjusted difference in weight loss between the intervention and control participants was 7.8 kg, whereas the difference in reduction of BMI was 2.7 (P = .001 for both).
There was also a significant difference in the reduction in waist-to-hip ratio between the groups, at 0.033 in favor of the intervention, as well as a difference in the reduction in fat tissue, at 3.1% (P = .001 for both).
Further analyses showed weight loss was associated with significant improvements on the 6-minute walk test, at an r value of 0.48 (P = .015), and in the 25-foot walk test (r = 0.42; P = .015). Weight loss was also linked to reductions in perceived fatigability (r = 0.48; P = .005).
Dr. Lynch also reported that a 5% reduction in body weight was associated with a “clinically meaningful” improvement of 50 meters on the 6-minute walk test.
Finally, it was found the intervention was associated with a significant improvement in mental quality of life (P = .01), whereas weight loss specifically was linked to improved physical quality of life (P = .02).
“We believe that future studies should examine weight loss in people with MS who have more advanced disability,” Dr. Lynch said, and “we should examine the effects of weight loss on the underlying disease processes.”
She added they also “need to follow the patient for longer and see if they can maintain their weight loss.”
Emphasizing the social side of interventions
Session cochair Brian M. Sandroff, PhD, director of the Exercise Neurorehabilitation Research Laboratory at the Kessler Foundation, East Hanover, N.J., commented that the results are “really exciting.”
He said that the improvements across the range of measures assessed in the study were not surprising, “considering the intervention was multicomponent, and so had the potential to affect a number of different physical and cognitive domains.”
One factor in managing MS that came up again and again during the discussion at the end of the session was the social aspect of interventions, with Dr. Lynch saying the group sessions in particular were appreciated by participants in her trial.
Dr. Sandroff, who was not involved in the study, said that it has been questioned whether the social side should be controlled for when assessing interventions, or “maybe it’s something we should promote within our studies.”
He explained that being social “overcomes a lot of isolation-related issues among people with MS who have comorbidities,” which can result in “reduced quality of life and differences in symptomatic manifestations.”
“Providing that group setting might have lots of outcomes besides just a biological loss of mass” because of the intervention itself, Dr. Sandroff said.
The study was supported by grants from the National MS Society. Dr. Lynch declares relationships with Biogen, Genzyme, Teva, Sanofi, Novartis, Celgene, Roche, Immunic, National Institutes of Health, National Multiple Sclerosis Society, Patient-Centered Outcomes Research Institute, Anokion, TG Therapeutics, and Actelion. Other authors also declared relationships. Dr. Sandroff declared no relevant relationships.
A version of this article first appeared on Medscape.com.
MILAN – results of a new trial show.
Seventy patients with MS and a high body mass index (BMI) were randomized to receive a multifaceted weight loss program or treatment as usual, resulting in almost two-thirds of the intervention group patients losing at least 5% of their body weight.
“Our weight loss intervention achieved clinically significant weight loss and improved mental quality of life,” said study presenter Sharon G. Lynch, MD, professor in the department of neurology at the University of Kansas Medical Center, Kansas City.
The results also showed weight loss “was associated with improved mobility, reduced fatigability, and improved physical quality of life.”
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Obesity linked to MS progression
Dr. Lynch noted that almost 40% of people with MS have comorbid obesity, and that obesity “is associated with developing MS in some studies, and also disease progression.” Moreover, MS and obesity share common chronic symptoms, particularly mobility problems, depression, fatigue, and reduced quality of life.
Despite this, no randomized controlled trials have been specifically designed to help people with MS lose weight, he noted.
The team therefore examined the efficacy of a behavioral weight loss program designed for patients with the disease, as well as the impact of weight loss on mobility and other chronic symptoms.
The participants were required to be English speaking, with access to a telephone and/or computer, and to have a confirmed diagnosis of MS. They also had to be aged 18-70 years, have a BMI of 29-50 kg/m2, and have a Patient-Determined Disease Steps (PDDS) score of less than 4.
The patients were randomly assigned to receive either a weight loss intervention or brief health education and treatment as usual. They were assessed at 6 months to measure their weight loss, mobility, and self-reported quality of life and perceived fatigability.
Dr. Lynch said the intervention was “fairly time intensive,” with an hour-long telehealth group weight loss session every week for 24 weeks, as well as monthly individual sessions for 6 months.
The participants were provided with a Fitbit activity tracker, a set of Bluetooth-enabled weighing scales, and access to the Lose It! weight loss app.
Caloric restriction was encouraged, with a focus on increasing intake of fruits and vegetables, alongside a target of 150 minutes per week of moderate to vigorous physical activity, in line with Centers for Disease Control and Prevention and American Heart Association recommendations.
Significant loss in body weight
Seventy individuals with MS took part in the trial, of whom 83% were female and 88% were White, 9% African American, and 3% Hispanic or Latino. The mean age was 46.7 years, and the mean number of years in education was 11.8.
The vast majority (96%) of the participants had relapsing remitting MS, at a mean disease duration of 10.9 years, and 82% had a score of 0 or 1 on the PDDS.
Dr. Lynch showed that participants in the intervention group lost, over the course of the study, 8.6% of their total body weight, compared with a loss of 0.7% among controls (P < .001).
Moreover, 65% of the intervention group lost at least 5% of their body weight, whereas 41% lost at least 10% of their body weight, which again was significantly higher than that seen in the control group (P < .001).
There was also a significant increase in moderate to vigorous physical activity in the intervention group as measured by accelerometry (P < .05), although Dr. Lynch pointed out this “did not necessarily correlate with their weight loss.”
Dr. Lynch showed there were significant differences across a range of anthropometric measures from baseline to follow-up between the intervention and control groups.
The adjusted difference in weight loss between the intervention and control participants was 7.8 kg, whereas the difference in reduction of BMI was 2.7 (P = .001 for both).
There was also a significant difference in the reduction in waist-to-hip ratio between the groups, at 0.033 in favor of the intervention, as well as a difference in the reduction in fat tissue, at 3.1% (P = .001 for both).
Further analyses showed weight loss was associated with significant improvements on the 6-minute walk test, at an r value of 0.48 (P = .015), and in the 25-foot walk test (r = 0.42; P = .015). Weight loss was also linked to reductions in perceived fatigability (r = 0.48; P = .005).
Dr. Lynch also reported that a 5% reduction in body weight was associated with a “clinically meaningful” improvement of 50 meters on the 6-minute walk test.
Finally, it was found the intervention was associated with a significant improvement in mental quality of life (P = .01), whereas weight loss specifically was linked to improved physical quality of life (P = .02).
“We believe that future studies should examine weight loss in people with MS who have more advanced disability,” Dr. Lynch said, and “we should examine the effects of weight loss on the underlying disease processes.”
She added they also “need to follow the patient for longer and see if they can maintain their weight loss.”
Emphasizing the social side of interventions
Session cochair Brian M. Sandroff, PhD, director of the Exercise Neurorehabilitation Research Laboratory at the Kessler Foundation, East Hanover, N.J., commented that the results are “really exciting.”
He said that the improvements across the range of measures assessed in the study were not surprising, “considering the intervention was multicomponent, and so had the potential to affect a number of different physical and cognitive domains.”
One factor in managing MS that came up again and again during the discussion at the end of the session was the social aspect of interventions, with Dr. Lynch saying the group sessions in particular were appreciated by participants in her trial.
Dr. Sandroff, who was not involved in the study, said that it has been questioned whether the social side should be controlled for when assessing interventions, or “maybe it’s something we should promote within our studies.”
He explained that being social “overcomes a lot of isolation-related issues among people with MS who have comorbidities,” which can result in “reduced quality of life and differences in symptomatic manifestations.”
“Providing that group setting might have lots of outcomes besides just a biological loss of mass” because of the intervention itself, Dr. Sandroff said.
The study was supported by grants from the National MS Society. Dr. Lynch declares relationships with Biogen, Genzyme, Teva, Sanofi, Novartis, Celgene, Roche, Immunic, National Institutes of Health, National Multiple Sclerosis Society, Patient-Centered Outcomes Research Institute, Anokion, TG Therapeutics, and Actelion. Other authors also declared relationships. Dr. Sandroff declared no relevant relationships.
A version of this article first appeared on Medscape.com.
MILAN – results of a new trial show.
Seventy patients with MS and a high body mass index (BMI) were randomized to receive a multifaceted weight loss program or treatment as usual, resulting in almost two-thirds of the intervention group patients losing at least 5% of their body weight.
“Our weight loss intervention achieved clinically significant weight loss and improved mental quality of life,” said study presenter Sharon G. Lynch, MD, professor in the department of neurology at the University of Kansas Medical Center, Kansas City.
The results also showed weight loss “was associated with improved mobility, reduced fatigability, and improved physical quality of life.”
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Obesity linked to MS progression
Dr. Lynch noted that almost 40% of people with MS have comorbid obesity, and that obesity “is associated with developing MS in some studies, and also disease progression.” Moreover, MS and obesity share common chronic symptoms, particularly mobility problems, depression, fatigue, and reduced quality of life.
Despite this, no randomized controlled trials have been specifically designed to help people with MS lose weight, he noted.
The team therefore examined the efficacy of a behavioral weight loss program designed for patients with the disease, as well as the impact of weight loss on mobility and other chronic symptoms.
The participants were required to be English speaking, with access to a telephone and/or computer, and to have a confirmed diagnosis of MS. They also had to be aged 18-70 years, have a BMI of 29-50 kg/m2, and have a Patient-Determined Disease Steps (PDDS) score of less than 4.
The patients were randomly assigned to receive either a weight loss intervention or brief health education and treatment as usual. They were assessed at 6 months to measure their weight loss, mobility, and self-reported quality of life and perceived fatigability.
Dr. Lynch said the intervention was “fairly time intensive,” with an hour-long telehealth group weight loss session every week for 24 weeks, as well as monthly individual sessions for 6 months.
The participants were provided with a Fitbit activity tracker, a set of Bluetooth-enabled weighing scales, and access to the Lose It! weight loss app.
Caloric restriction was encouraged, with a focus on increasing intake of fruits and vegetables, alongside a target of 150 minutes per week of moderate to vigorous physical activity, in line with Centers for Disease Control and Prevention and American Heart Association recommendations.
Significant loss in body weight
Seventy individuals with MS took part in the trial, of whom 83% were female and 88% were White, 9% African American, and 3% Hispanic or Latino. The mean age was 46.7 years, and the mean number of years in education was 11.8.
The vast majority (96%) of the participants had relapsing remitting MS, at a mean disease duration of 10.9 years, and 82% had a score of 0 or 1 on the PDDS.
Dr. Lynch showed that participants in the intervention group lost, over the course of the study, 8.6% of their total body weight, compared with a loss of 0.7% among controls (P < .001).
Moreover, 65% of the intervention group lost at least 5% of their body weight, whereas 41% lost at least 10% of their body weight, which again was significantly higher than that seen in the control group (P < .001).
There was also a significant increase in moderate to vigorous physical activity in the intervention group as measured by accelerometry (P < .05), although Dr. Lynch pointed out this “did not necessarily correlate with their weight loss.”
Dr. Lynch showed there were significant differences across a range of anthropometric measures from baseline to follow-up between the intervention and control groups.
The adjusted difference in weight loss between the intervention and control participants was 7.8 kg, whereas the difference in reduction of BMI was 2.7 (P = .001 for both).
There was also a significant difference in the reduction in waist-to-hip ratio between the groups, at 0.033 in favor of the intervention, as well as a difference in the reduction in fat tissue, at 3.1% (P = .001 for both).
Further analyses showed weight loss was associated with significant improvements on the 6-minute walk test, at an r value of 0.48 (P = .015), and in the 25-foot walk test (r = 0.42; P = .015). Weight loss was also linked to reductions in perceived fatigability (r = 0.48; P = .005).
Dr. Lynch also reported that a 5% reduction in body weight was associated with a “clinically meaningful” improvement of 50 meters on the 6-minute walk test.
Finally, it was found the intervention was associated with a significant improvement in mental quality of life (P = .01), whereas weight loss specifically was linked to improved physical quality of life (P = .02).
“We believe that future studies should examine weight loss in people with MS who have more advanced disability,” Dr. Lynch said, and “we should examine the effects of weight loss on the underlying disease processes.”
She added they also “need to follow the patient for longer and see if they can maintain their weight loss.”
Emphasizing the social side of interventions
Session cochair Brian M. Sandroff, PhD, director of the Exercise Neurorehabilitation Research Laboratory at the Kessler Foundation, East Hanover, N.J., commented that the results are “really exciting.”
He said that the improvements across the range of measures assessed in the study were not surprising, “considering the intervention was multicomponent, and so had the potential to affect a number of different physical and cognitive domains.”
One factor in managing MS that came up again and again during the discussion at the end of the session was the social aspect of interventions, with Dr. Lynch saying the group sessions in particular were appreciated by participants in her trial.
Dr. Sandroff, who was not involved in the study, said that it has been questioned whether the social side should be controlled for when assessing interventions, or “maybe it’s something we should promote within our studies.”
He explained that being social “overcomes a lot of isolation-related issues among people with MS who have comorbidities,” which can result in “reduced quality of life and differences in symptomatic manifestations.”
“Providing that group setting might have lots of outcomes besides just a biological loss of mass” because of the intervention itself, Dr. Sandroff said.
The study was supported by grants from the National MS Society. Dr. Lynch declares relationships with Biogen, Genzyme, Teva, Sanofi, Novartis, Celgene, Roche, Immunic, National Institutes of Health, National Multiple Sclerosis Society, Patient-Centered Outcomes Research Institute, Anokion, TG Therapeutics, and Actelion. Other authors also declared relationships. Dr. Sandroff declared no relevant relationships.
A version of this article first appeared on Medscape.com.
AT ECTRIMS 2023
AI tool reveals MS drug interactions, offers safer options
MILAN – , German researchers reported.
The team fed the medication plans of almost 630 patients into a deep neural network, which identified drug-drug interactions in more than 80% of cases, in particular when switching from one medication to another, alongside potential food interactions.
The tool was able to identify specific interactions that could be avoided if a drug was replaced with one with a similar pharmacologic profile, but a lower risk of adverse effects.
“Potential drug-drug interactions are a major safety concern in patients with MS,” said study presenter Michael Hecker, PhD, department of neurology, Rostock (Germany) University Medical Center.
Such deep learning–based methods are “useful” in screening for potential interactions both between drugs and with foods, they concluded.
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS Meeting.
Unknown interactions
During his presentation, Dr. Hecker noted that most patients with MS take two or more drugs “to treat their disease and to mitigate their symptoms and comorbidities.” He pointed out, however, that patients who take multiple medications are at an increased risk for side effects, as one drug may affect the pharmacokinetic or pharmacodynamic properties of another.
“For instance, it may change its metabolism,” Dr. Hecker said, and therefore affect its mechanism of action and the response to the drug, with medications potentially having synergistic, antagonistic, or additive effects.
He explained that the online DrugBank database “provides a huge collection” of known drug-drug interactions for compounds that have a track record. “However, for other drugs, and especially those that are tested only in clinical trials, there’s no information about drug-drug and drug-food interactions,” Dr. Hecker said.
“Moreover, it is quite time-consuming to search a database for individual drug-drug interactions,” he added.
34 million parameters
Consequently, there is increasing interest in the use of deep neural networks to study drug-drug interactions, Dr. Hecker said. DeepDDI is the “state-of-the-art deep learning framework” for predicting interactions. It takes drug-drug or drug-food pairs and compares their structures to determine their similarity. This information is fed into a deep neural network with almost 34 million trainable parameters.
The framework then provides a prediction of any interactions in the same terms as the DrugBank, suggesting, for example, that Drug A may decrease the antihypertensive activities of Drug B.
For the current study, the researchers trained the deep neural network on the most recent release of the DrugBank database, finding it was able to replicate the drug-drug interactions in the database at an accuracy of 92.2% in the validation set and 92.1% in the testing set. They then put the medication plans of 627 patients with MS into the deep neural network.
The patients had a mean age of 48.6 years, 70.3% were women, and the median disease duration was 10 years. They were taking an average of 5.3 medications, and 62% were using disease-modifying therapies (DMT).
The team compared the structures of the drugs they were taking with those of 367 drugs used for the treatment of MS, as well as with structural data for 1,673 food compounds from the FooDB database.
Swapping drugs could reduce interactions
The overall prevalence of potential drug-drug interactions among the patients included in the study was 81.2%.
The researchers then determined the proportion of patients who would be at risk of additional drug-drug interaction if they switched from one DMT to another, or to a Bruton tyrosine kinase inhibitor, given all their other medications.
They found, for example, that more than 40% of patients who switched to the immunomodulator fingolimod (Gilenya) would be at increased risk for bradycardia.
Just under 40% of patients who changed their DMT to the purine analogue cladribine (Mavenclad) would have an increased risk, or worsening, of bleeding, as would approximately 25% of those who switched to the anthracenedione antineoplastic agent mitoxantrone (Novantrone).
Dr. Hecker also showed the deep neural network could make suggestions as to how critical drug-drug interactions could be avoided by replacing interacting drugs with alternatives that have similar pharmacological effects.
For example, carbamazepine (Tegretol, Equetro) could be replaced with topiramate (several brand names) to avoid hepatotoxicity in patients also taking acetaminophen, while liothyronine (Cytomel, Triostat) could replace levothyroxine in patients also taking teriflunomide (Aubagio).
Finally, Dr. Hecker reported there was a subset of 6,860 potential drug-food interactions with the patients’ medications, resulting in reduced or increased concentrations of the drugs, particularly with fish or mushroom consumption.
He conceded, however, there were several limitations to their study, including that it included only small-molecule drugs, and that they did not ask patients about their diet or if they had observed any undesired drug effects.
Furthermore, “only a small number” of the potential drug-drug or drug-food interactions they identified would be “clinically relevant.”
Dr. Hecker also pointed out that each drug has one record, but it is used for different indications, with different dosages, and has different side effects, depending how it is used. “The model does not distinguish this,” he said, and so some of the interactions it highlights could be related to other doses than the one used in MS, for example.
Promise for the future
Pavan Bhargava, MBBS, MD, associate professor of neurology, Johns Hopkins Precision Medicine Center of Excellence for Multiple Sclerosis, Baltimore, commented that, as with all AI tools, “it’s only as good as what we’re putting into it.”
Dr. Bhargava, who cochaired the session, said that “there’s limitations on the information in the databases” that are being fed into the deep neural network.
He also highlighted that, “at this point, it didn’t seem like it was coming up with much clinically useful information,” but noted that, “we may get to that point.”
“Right now, there’s promise,” Dr. Bhargava said, but “it’s still not quite there.”
No funding was declared. Dr. Hecker declares relationships with Bayer HealthCare, Biogen, Merck Healthcare, Novartis, and Teva. Several other coauthors also declared financial relationships with industry.
A version of this article first appeared on Medscape.com.
MILAN – , German researchers reported.
The team fed the medication plans of almost 630 patients into a deep neural network, which identified drug-drug interactions in more than 80% of cases, in particular when switching from one medication to another, alongside potential food interactions.
The tool was able to identify specific interactions that could be avoided if a drug was replaced with one with a similar pharmacologic profile, but a lower risk of adverse effects.
“Potential drug-drug interactions are a major safety concern in patients with MS,” said study presenter Michael Hecker, PhD, department of neurology, Rostock (Germany) University Medical Center.
Such deep learning–based methods are “useful” in screening for potential interactions both between drugs and with foods, they concluded.
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS Meeting.
Unknown interactions
During his presentation, Dr. Hecker noted that most patients with MS take two or more drugs “to treat their disease and to mitigate their symptoms and comorbidities.” He pointed out, however, that patients who take multiple medications are at an increased risk for side effects, as one drug may affect the pharmacokinetic or pharmacodynamic properties of another.
“For instance, it may change its metabolism,” Dr. Hecker said, and therefore affect its mechanism of action and the response to the drug, with medications potentially having synergistic, antagonistic, or additive effects.
He explained that the online DrugBank database “provides a huge collection” of known drug-drug interactions for compounds that have a track record. “However, for other drugs, and especially those that are tested only in clinical trials, there’s no information about drug-drug and drug-food interactions,” Dr. Hecker said.
“Moreover, it is quite time-consuming to search a database for individual drug-drug interactions,” he added.
34 million parameters
Consequently, there is increasing interest in the use of deep neural networks to study drug-drug interactions, Dr. Hecker said. DeepDDI is the “state-of-the-art deep learning framework” for predicting interactions. It takes drug-drug or drug-food pairs and compares their structures to determine their similarity. This information is fed into a deep neural network with almost 34 million trainable parameters.
The framework then provides a prediction of any interactions in the same terms as the DrugBank, suggesting, for example, that Drug A may decrease the antihypertensive activities of Drug B.
For the current study, the researchers trained the deep neural network on the most recent release of the DrugBank database, finding it was able to replicate the drug-drug interactions in the database at an accuracy of 92.2% in the validation set and 92.1% in the testing set. They then put the medication plans of 627 patients with MS into the deep neural network.
The patients had a mean age of 48.6 years, 70.3% were women, and the median disease duration was 10 years. They were taking an average of 5.3 medications, and 62% were using disease-modifying therapies (DMT).
The team compared the structures of the drugs they were taking with those of 367 drugs used for the treatment of MS, as well as with structural data for 1,673 food compounds from the FooDB database.
Swapping drugs could reduce interactions
The overall prevalence of potential drug-drug interactions among the patients included in the study was 81.2%.
The researchers then determined the proportion of patients who would be at risk of additional drug-drug interaction if they switched from one DMT to another, or to a Bruton tyrosine kinase inhibitor, given all their other medications.
They found, for example, that more than 40% of patients who switched to the immunomodulator fingolimod (Gilenya) would be at increased risk for bradycardia.
Just under 40% of patients who changed their DMT to the purine analogue cladribine (Mavenclad) would have an increased risk, or worsening, of bleeding, as would approximately 25% of those who switched to the anthracenedione antineoplastic agent mitoxantrone (Novantrone).
Dr. Hecker also showed the deep neural network could make suggestions as to how critical drug-drug interactions could be avoided by replacing interacting drugs with alternatives that have similar pharmacological effects.
For example, carbamazepine (Tegretol, Equetro) could be replaced with topiramate (several brand names) to avoid hepatotoxicity in patients also taking acetaminophen, while liothyronine (Cytomel, Triostat) could replace levothyroxine in patients also taking teriflunomide (Aubagio).
Finally, Dr. Hecker reported there was a subset of 6,860 potential drug-food interactions with the patients’ medications, resulting in reduced or increased concentrations of the drugs, particularly with fish or mushroom consumption.
He conceded, however, there were several limitations to their study, including that it included only small-molecule drugs, and that they did not ask patients about their diet or if they had observed any undesired drug effects.
Furthermore, “only a small number” of the potential drug-drug or drug-food interactions they identified would be “clinically relevant.”
Dr. Hecker also pointed out that each drug has one record, but it is used for different indications, with different dosages, and has different side effects, depending how it is used. “The model does not distinguish this,” he said, and so some of the interactions it highlights could be related to other doses than the one used in MS, for example.
Promise for the future
Pavan Bhargava, MBBS, MD, associate professor of neurology, Johns Hopkins Precision Medicine Center of Excellence for Multiple Sclerosis, Baltimore, commented that, as with all AI tools, “it’s only as good as what we’re putting into it.”
Dr. Bhargava, who cochaired the session, said that “there’s limitations on the information in the databases” that are being fed into the deep neural network.
He also highlighted that, “at this point, it didn’t seem like it was coming up with much clinically useful information,” but noted that, “we may get to that point.”
“Right now, there’s promise,” Dr. Bhargava said, but “it’s still not quite there.”
No funding was declared. Dr. Hecker declares relationships with Bayer HealthCare, Biogen, Merck Healthcare, Novartis, and Teva. Several other coauthors also declared financial relationships with industry.
A version of this article first appeared on Medscape.com.
MILAN – , German researchers reported.
The team fed the medication plans of almost 630 patients into a deep neural network, which identified drug-drug interactions in more than 80% of cases, in particular when switching from one medication to another, alongside potential food interactions.
The tool was able to identify specific interactions that could be avoided if a drug was replaced with one with a similar pharmacologic profile, but a lower risk of adverse effects.
“Potential drug-drug interactions are a major safety concern in patients with MS,” said study presenter Michael Hecker, PhD, department of neurology, Rostock (Germany) University Medical Center.
Such deep learning–based methods are “useful” in screening for potential interactions both between drugs and with foods, they concluded.
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS Meeting.
Unknown interactions
During his presentation, Dr. Hecker noted that most patients with MS take two or more drugs “to treat their disease and to mitigate their symptoms and comorbidities.” He pointed out, however, that patients who take multiple medications are at an increased risk for side effects, as one drug may affect the pharmacokinetic or pharmacodynamic properties of another.
“For instance, it may change its metabolism,” Dr. Hecker said, and therefore affect its mechanism of action and the response to the drug, with medications potentially having synergistic, antagonistic, or additive effects.
He explained that the online DrugBank database “provides a huge collection” of known drug-drug interactions for compounds that have a track record. “However, for other drugs, and especially those that are tested only in clinical trials, there’s no information about drug-drug and drug-food interactions,” Dr. Hecker said.
“Moreover, it is quite time-consuming to search a database for individual drug-drug interactions,” he added.
34 million parameters
Consequently, there is increasing interest in the use of deep neural networks to study drug-drug interactions, Dr. Hecker said. DeepDDI is the “state-of-the-art deep learning framework” for predicting interactions. It takes drug-drug or drug-food pairs and compares their structures to determine their similarity. This information is fed into a deep neural network with almost 34 million trainable parameters.
The framework then provides a prediction of any interactions in the same terms as the DrugBank, suggesting, for example, that Drug A may decrease the antihypertensive activities of Drug B.
For the current study, the researchers trained the deep neural network on the most recent release of the DrugBank database, finding it was able to replicate the drug-drug interactions in the database at an accuracy of 92.2% in the validation set and 92.1% in the testing set. They then put the medication plans of 627 patients with MS into the deep neural network.
The patients had a mean age of 48.6 years, 70.3% were women, and the median disease duration was 10 years. They were taking an average of 5.3 medications, and 62% were using disease-modifying therapies (DMT).
The team compared the structures of the drugs they were taking with those of 367 drugs used for the treatment of MS, as well as with structural data for 1,673 food compounds from the FooDB database.
Swapping drugs could reduce interactions
The overall prevalence of potential drug-drug interactions among the patients included in the study was 81.2%.
The researchers then determined the proportion of patients who would be at risk of additional drug-drug interaction if they switched from one DMT to another, or to a Bruton tyrosine kinase inhibitor, given all their other medications.
They found, for example, that more than 40% of patients who switched to the immunomodulator fingolimod (Gilenya) would be at increased risk for bradycardia.
Just under 40% of patients who changed their DMT to the purine analogue cladribine (Mavenclad) would have an increased risk, or worsening, of bleeding, as would approximately 25% of those who switched to the anthracenedione antineoplastic agent mitoxantrone (Novantrone).
Dr. Hecker also showed the deep neural network could make suggestions as to how critical drug-drug interactions could be avoided by replacing interacting drugs with alternatives that have similar pharmacological effects.
For example, carbamazepine (Tegretol, Equetro) could be replaced with topiramate (several brand names) to avoid hepatotoxicity in patients also taking acetaminophen, while liothyronine (Cytomel, Triostat) could replace levothyroxine in patients also taking teriflunomide (Aubagio).
Finally, Dr. Hecker reported there was a subset of 6,860 potential drug-food interactions with the patients’ medications, resulting in reduced or increased concentrations of the drugs, particularly with fish or mushroom consumption.
He conceded, however, there were several limitations to their study, including that it included only small-molecule drugs, and that they did not ask patients about their diet or if they had observed any undesired drug effects.
Furthermore, “only a small number” of the potential drug-drug or drug-food interactions they identified would be “clinically relevant.”
Dr. Hecker also pointed out that each drug has one record, but it is used for different indications, with different dosages, and has different side effects, depending how it is used. “The model does not distinguish this,” he said, and so some of the interactions it highlights could be related to other doses than the one used in MS, for example.
Promise for the future
Pavan Bhargava, MBBS, MD, associate professor of neurology, Johns Hopkins Precision Medicine Center of Excellence for Multiple Sclerosis, Baltimore, commented that, as with all AI tools, “it’s only as good as what we’re putting into it.”
Dr. Bhargava, who cochaired the session, said that “there’s limitations on the information in the databases” that are being fed into the deep neural network.
He also highlighted that, “at this point, it didn’t seem like it was coming up with much clinically useful information,” but noted that, “we may get to that point.”
“Right now, there’s promise,” Dr. Bhargava said, but “it’s still not quite there.”
No funding was declared. Dr. Hecker declares relationships with Bayer HealthCare, Biogen, Merck Healthcare, Novartis, and Teva. Several other coauthors also declared financial relationships with industry.
A version of this article first appeared on Medscape.com.
FROM ECTRIMS 2023
Ocrelizumab benefit confirmed in older patients with MS
MILAN – they say.
The researchers studied about 700 patients with MS aged 60 years and older from an international database, comparing outcomes with the anti-CD20 monoclonal antibody ocrelizumab versus those for interferon/glatiramer acetate (BRACE). They found ocrelizumab significantly reduced the annual rate of relapses, although after adjustments, patients overall faced a relapse rate of less than 0.1 per year. There were also no significant differences in either disability progression or improvement between the two treatments.
“We believe this study is unique in that ocrelizumab demonstrates a very clear differential treatment benefit in this age group,” said study presenter Yi Chao Foong, MD, department of neuroscience, Monash University, Melbourne. “However, this has to be balanced against the fact that overall relapse activity is extremely low in people with MS over the age of 60. We believe that this study adds valuable, real-world data for nuanced benefit versus risk DMT discussions with for older adults with MS.”
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Lack of data in older patients
Dr. Fong explained the comparative efficacy of disease-modifying therapies (DMTs) has not been demonstrated in older people with MS, as all landmark trials to date have excluded people older than age 60 years. He underlined, however, that the inflammatory aspect of MS reduces with age, when neurodegenerative processes begin to predominate.
“This, combined with increased risk of acute infections in older adults have raised concerns over the benefit ratios of DMTs in this age group,” Dr. Fong said.
This has led to several de-escalation studies in older patients already on treatment for MS, but with “varied results.”
One study, published earlier in 2023, was unable to conclude whether DMT discontinuation was noninferior to continuation in older patients with no recent relapse or new MRI activity.
To investigate further, the Australian team used the MSBase database to study patients with a confirmed MS diagnosis who had started or switched to ocrelizumab or BRACE when older than 60 years of age.
They were also required to have undergone an Expanded Disability Status Scale (EDSS) assessment around the time of the initiation of DMT. In all, 675 patients met the inclusion criteria, of whom 248 started with ocrelizumab and 427 with BRACE.
The treatment groups were well balanced, although baseline EDSS scores were higher in patients given ocrelizumab, at 5.22 versus 3.89 with BRACE (P = .05), and they had a lower relapse rate prior in the year (P = .01) and 2 years (P = .02) prior to baseline.
Only relapse rates reduced
With more than 571 patient-years of follow-up, there were eight relapses in patients treated with ocrelizumab, compared with 182 relapses during 2238 patient-years among those given BRACE.
The team then performed propensity matching based on patient age, disease duration, sex, baseline EDSS, prior relapses, and prior DMTs.
They found that, over a median follow-up of 2.47 years for ocrelizumab and 4.48 years for BRACE, there was a lower rate of relapse with ocrelizumab, at a weighted annualized relapse rate of 0.01 versus 0.08 (P < .0001). This, they calculated, equated to an ARR ratio in favor of ocrelizumab of 0.15 (P < .01).
The time to first relapse was also longer for ocrelizumab versus BRACE, at a weighted hazard ratio for relapse of 0.11 (P < .001) and with, as Dr. Fong highlighted, separation of the curves at 5 months.
Over a follow-up duration of 3.6 years, there was, however, no significant difference in confirmed disability progression between the two treatments (P = .31), with similar results seen for confirmed disability improvement (P = .92).
Dr. Fong noted the study was limited by an inherent treatment indication bias, affecting the sensitivity analysis and weighing, while assessment of confirmed disability progression and confirmed disability improvement was hampered by the relatively short follow-up period and the lack of data on comorbidities.
He also highlighted the lack of safety data for the study population, as well as the lack of MRI.
Muddling the data
Approached for comment, Pavan Bhargava, MBBS, MD, associate professor of neurology, Johns Hopkins Precision Medicine Center of Excellence for Multiple Sclerosis, Baltimore, pointed out the study is based on retrospective data.
“The main question that we normally come up against in clinical practice, once people are older, is: What do you do with their treatment?” he asked.
This, Dr. Bhargava said, was the question that was addressed in the previous de-escalation studies.
The current study “actually answered a completely different question: If you were starting or changing a treatment after 60, which one would be better to choose?” This is a “much rarer scenario,” he said.
The results nevertheless showed what is seen in younger patients; in other words, “a more efficacious treatment is more effective at reducing relapses than a less efficacious treatment, even though overall the number of relapses is quite low,” Dr. Bhargava said.
“The other problem,” he added, is the study included “not just relapsing but also progressive patients, so that kind of muddles the data a little bit.”
Consequently, “it’s hard to really make a definitive conclusion” from the results, Dr. Bhargava concluded.
No funding was declared. Dr. Fong declares relationships with Biogen, National Health and Medical Research Council, Multiple Sclerosis Research Australia, and the Australian and New Zealand Association of Neurologists. Several coauthors also declared financial relationships with industry.
A version of this article first appeared on Medscape.com.
MILAN – they say.
The researchers studied about 700 patients with MS aged 60 years and older from an international database, comparing outcomes with the anti-CD20 monoclonal antibody ocrelizumab versus those for interferon/glatiramer acetate (BRACE). They found ocrelizumab significantly reduced the annual rate of relapses, although after adjustments, patients overall faced a relapse rate of less than 0.1 per year. There were also no significant differences in either disability progression or improvement between the two treatments.
“We believe this study is unique in that ocrelizumab demonstrates a very clear differential treatment benefit in this age group,” said study presenter Yi Chao Foong, MD, department of neuroscience, Monash University, Melbourne. “However, this has to be balanced against the fact that overall relapse activity is extremely low in people with MS over the age of 60. We believe that this study adds valuable, real-world data for nuanced benefit versus risk DMT discussions with for older adults with MS.”
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Lack of data in older patients
Dr. Fong explained the comparative efficacy of disease-modifying therapies (DMTs) has not been demonstrated in older people with MS, as all landmark trials to date have excluded people older than age 60 years. He underlined, however, that the inflammatory aspect of MS reduces with age, when neurodegenerative processes begin to predominate.
“This, combined with increased risk of acute infections in older adults have raised concerns over the benefit ratios of DMTs in this age group,” Dr. Fong said.
This has led to several de-escalation studies in older patients already on treatment for MS, but with “varied results.”
One study, published earlier in 2023, was unable to conclude whether DMT discontinuation was noninferior to continuation in older patients with no recent relapse or new MRI activity.
To investigate further, the Australian team used the MSBase database to study patients with a confirmed MS diagnosis who had started or switched to ocrelizumab or BRACE when older than 60 years of age.
They were also required to have undergone an Expanded Disability Status Scale (EDSS) assessment around the time of the initiation of DMT. In all, 675 patients met the inclusion criteria, of whom 248 started with ocrelizumab and 427 with BRACE.
The treatment groups were well balanced, although baseline EDSS scores were higher in patients given ocrelizumab, at 5.22 versus 3.89 with BRACE (P = .05), and they had a lower relapse rate prior in the year (P = .01) and 2 years (P = .02) prior to baseline.
Only relapse rates reduced
With more than 571 patient-years of follow-up, there were eight relapses in patients treated with ocrelizumab, compared with 182 relapses during 2238 patient-years among those given BRACE.
The team then performed propensity matching based on patient age, disease duration, sex, baseline EDSS, prior relapses, and prior DMTs.
They found that, over a median follow-up of 2.47 years for ocrelizumab and 4.48 years for BRACE, there was a lower rate of relapse with ocrelizumab, at a weighted annualized relapse rate of 0.01 versus 0.08 (P < .0001). This, they calculated, equated to an ARR ratio in favor of ocrelizumab of 0.15 (P < .01).
The time to first relapse was also longer for ocrelizumab versus BRACE, at a weighted hazard ratio for relapse of 0.11 (P < .001) and with, as Dr. Fong highlighted, separation of the curves at 5 months.
Over a follow-up duration of 3.6 years, there was, however, no significant difference in confirmed disability progression between the two treatments (P = .31), with similar results seen for confirmed disability improvement (P = .92).
Dr. Fong noted the study was limited by an inherent treatment indication bias, affecting the sensitivity analysis and weighing, while assessment of confirmed disability progression and confirmed disability improvement was hampered by the relatively short follow-up period and the lack of data on comorbidities.
He also highlighted the lack of safety data for the study population, as well as the lack of MRI.
Muddling the data
Approached for comment, Pavan Bhargava, MBBS, MD, associate professor of neurology, Johns Hopkins Precision Medicine Center of Excellence for Multiple Sclerosis, Baltimore, pointed out the study is based on retrospective data.
“The main question that we normally come up against in clinical practice, once people are older, is: What do you do with their treatment?” he asked.
This, Dr. Bhargava said, was the question that was addressed in the previous de-escalation studies.
The current study “actually answered a completely different question: If you were starting or changing a treatment after 60, which one would be better to choose?” This is a “much rarer scenario,” he said.
The results nevertheless showed what is seen in younger patients; in other words, “a more efficacious treatment is more effective at reducing relapses than a less efficacious treatment, even though overall the number of relapses is quite low,” Dr. Bhargava said.
“The other problem,” he added, is the study included “not just relapsing but also progressive patients, so that kind of muddles the data a little bit.”
Consequently, “it’s hard to really make a definitive conclusion” from the results, Dr. Bhargava concluded.
No funding was declared. Dr. Fong declares relationships with Biogen, National Health and Medical Research Council, Multiple Sclerosis Research Australia, and the Australian and New Zealand Association of Neurologists. Several coauthors also declared financial relationships with industry.
A version of this article first appeared on Medscape.com.
MILAN – they say.
The researchers studied about 700 patients with MS aged 60 years and older from an international database, comparing outcomes with the anti-CD20 monoclonal antibody ocrelizumab versus those for interferon/glatiramer acetate (BRACE). They found ocrelizumab significantly reduced the annual rate of relapses, although after adjustments, patients overall faced a relapse rate of less than 0.1 per year. There were also no significant differences in either disability progression or improvement between the two treatments.
“We believe this study is unique in that ocrelizumab demonstrates a very clear differential treatment benefit in this age group,” said study presenter Yi Chao Foong, MD, department of neuroscience, Monash University, Melbourne. “However, this has to be balanced against the fact that overall relapse activity is extremely low in people with MS over the age of 60. We believe that this study adds valuable, real-world data for nuanced benefit versus risk DMT discussions with for older adults with MS.”
The findings were presented at the 9th Joint ECTRIMS-ACTRIMS meeting.
Lack of data in older patients
Dr. Fong explained the comparative efficacy of disease-modifying therapies (DMTs) has not been demonstrated in older people with MS, as all landmark trials to date have excluded people older than age 60 years. He underlined, however, that the inflammatory aspect of MS reduces with age, when neurodegenerative processes begin to predominate.
“This, combined with increased risk of acute infections in older adults have raised concerns over the benefit ratios of DMTs in this age group,” Dr. Fong said.
This has led to several de-escalation studies in older patients already on treatment for MS, but with “varied results.”
One study, published earlier in 2023, was unable to conclude whether DMT discontinuation was noninferior to continuation in older patients with no recent relapse or new MRI activity.
To investigate further, the Australian team used the MSBase database to study patients with a confirmed MS diagnosis who had started or switched to ocrelizumab or BRACE when older than 60 years of age.
They were also required to have undergone an Expanded Disability Status Scale (EDSS) assessment around the time of the initiation of DMT. In all, 675 patients met the inclusion criteria, of whom 248 started with ocrelizumab and 427 with BRACE.
The treatment groups were well balanced, although baseline EDSS scores were higher in patients given ocrelizumab, at 5.22 versus 3.89 with BRACE (P = .05), and they had a lower relapse rate prior in the year (P = .01) and 2 years (P = .02) prior to baseline.
Only relapse rates reduced
With more than 571 patient-years of follow-up, there were eight relapses in patients treated with ocrelizumab, compared with 182 relapses during 2238 patient-years among those given BRACE.
The team then performed propensity matching based on patient age, disease duration, sex, baseline EDSS, prior relapses, and prior DMTs.
They found that, over a median follow-up of 2.47 years for ocrelizumab and 4.48 years for BRACE, there was a lower rate of relapse with ocrelizumab, at a weighted annualized relapse rate of 0.01 versus 0.08 (P < .0001). This, they calculated, equated to an ARR ratio in favor of ocrelizumab of 0.15 (P < .01).
The time to first relapse was also longer for ocrelizumab versus BRACE, at a weighted hazard ratio for relapse of 0.11 (P < .001) and with, as Dr. Fong highlighted, separation of the curves at 5 months.
Over a follow-up duration of 3.6 years, there was, however, no significant difference in confirmed disability progression between the two treatments (P = .31), with similar results seen for confirmed disability improvement (P = .92).
Dr. Fong noted the study was limited by an inherent treatment indication bias, affecting the sensitivity analysis and weighing, while assessment of confirmed disability progression and confirmed disability improvement was hampered by the relatively short follow-up period and the lack of data on comorbidities.
He also highlighted the lack of safety data for the study population, as well as the lack of MRI.
Muddling the data
Approached for comment, Pavan Bhargava, MBBS, MD, associate professor of neurology, Johns Hopkins Precision Medicine Center of Excellence for Multiple Sclerosis, Baltimore, pointed out the study is based on retrospective data.
“The main question that we normally come up against in clinical practice, once people are older, is: What do you do with their treatment?” he asked.
This, Dr. Bhargava said, was the question that was addressed in the previous de-escalation studies.
The current study “actually answered a completely different question: If you were starting or changing a treatment after 60, which one would be better to choose?” This is a “much rarer scenario,” he said.
The results nevertheless showed what is seen in younger patients; in other words, “a more efficacious treatment is more effective at reducing relapses than a less efficacious treatment, even though overall the number of relapses is quite low,” Dr. Bhargava said.
“The other problem,” he added, is the study included “not just relapsing but also progressive patients, so that kind of muddles the data a little bit.”
Consequently, “it’s hard to really make a definitive conclusion” from the results, Dr. Bhargava concluded.
No funding was declared. Dr. Fong declares relationships with Biogen, National Health and Medical Research Council, Multiple Sclerosis Research Australia, and the Australian and New Zealand Association of Neurologists. Several coauthors also declared financial relationships with industry.
A version of this article first appeared on Medscape.com.
AT ECTRIMS 2023
Confirmed: Intermittent use of benzodiazepines is the safest option
BARCELONA – results of a large-scale study show.
Investigators matched more than 57,000 chronic benzodiazepine users with nearly 114,000 intermittent users and found that, at 1 year, chronic users had an 8% increased risk for emergency department visits and/or hospitalizations for falls.
Chronic users also had a 25% increased risk for hip fracture, a 4% raised risk for ED visits and/or hospitalizations for any reason, and a 23% increased risk for death.
Study investigator Simon J.C. Davies, MD, PhD, MSc, Centre for Addiction & Mental Health, Toronto, said that the research shows that, where possible, patients older than 65 years with anxiety or insomnia who are taking benzodiazepines should not stay on these medications continuously.
However, he acknowledged that, “in practical terms, there will be some who can’t change or do not want to change” their treatment.
The findings were presented at the annual meeting of the European College of Neuropsychopharmacology.
Wide range of adverse outcomes
The authors noted that benzodiazepines are used to treat anxiety and insomnia but are associated with a range of adverse outcomes, including falls, fractures, cognitive impairment, and mortality as well as tolerance and dose escalation.
“These risks are especially relevant in older adults,” they added, noting that some guidelines recommend avoiding the drugs in this population, whereas other suggest short-term benzodiazepine use for a maximum of 4 weeks.
Despite this, “benzodiazepines are widely prescribed in older adults.” One study showed that almost 15% of adults aged 65 years or older received at least one benzodiazepine prescription.
Moreover, chronic use is more common in older versus younger patients.
Benzodiazepine use among older adults “used to be higher,” Dr. Davies said in an interview, at around 20%, but the “numbers have come down,” partly because of the introduction of benzodiazepine-like sleep medications but also because of educational efforts.
“There are certainly campaigns in Ontario to educate physicians,” Dr. Davies said, “but I think more broadly people are aware of the activity of these drugs, and the tolerance and other issues.”
To compare the risk associated with chronic versus intermittent use of benzodiazepines in older adults, the team performed a population-based cohort study using linked health care databases in Ontario.
They focused on adults aged 65 years or older with a first benzodiazepine prescription after at least 1 year without taking the drugs.
Chronic benzodiazepine use was defined as 120 days of prescriptions over the first 180 days after the index prescription. Patients who met these criteria were matched with intermittent users in a 2:1 ratio by age and sex.
Patients were then propensity matched using 24 variables, including health system use in the year prior to the index prescription, clinical diagnoses, prior psychiatric health system use, falls, and income level.
The team identified 57,072 chronic benzodiazepine users and 312,468 intermittent users, of whom, 57,041 and 113,839, respectively, were propensity matched.
As expected, chronic users were prescribed benzodiazepines for more days than were the intermittent users over both the initial 180-day exposure period, at 141 days versus 33 days, and again during a further 180-day follow-up period, at 181 days versus 19 days.
Over the follow-up period, the daily lorazepam dose-equivalents of chronic users four times that of intermittent users.
Hospitalizations and/or ED visits for falls were higher among patients in the chronic benzodiazepine group, at 4.6% versus 3.2% in those who took the drugs intermittently.
After adjusting for benzodiazepine dose, the team found that chronic benzodiazepine use was associated with a significant increase in the risk for falls leading to hospital presentation over the 360-day study period, compared with intermittent use (hazard ratio, 1.08; P = .0124).
Sex differences
In addition, chronic use was linked to a significantly increased risk for hip fracture (HR, 1.25; P = .0095), and long-term care admission (HR, 1.32; P < .0001).
There was also a significant increase in ED visits and/or hospitalizations for any reason with chronic benzodiazepine use versus intermittent use (HR, 1.04; P = .0007), and an increase in the risk for death (HR, 1.23; P < .0001).
A nonsignificant increased risk for wrist fracture was also associated with chronic use of benzodiazepines (HR, 1.02; P = .8683).
Further analysis revealed some sex differences. For instance, men had a marked increase in the risk for hip fracture with chronic use (HR, 1.50; P = .0154), whereas the risk was not significant in women (HR, 1.16; P = .1332). In addition, mortality risk associated with chronic use was higher in men than in women (HR, 1.39; P < .0001 vs. HR, 1.10; P = .2245).
The decision to discontinue chronic benzodiazepine use can be challenging, said Dr. Davies. “If you’re advising people to stop, what happens to the treatment of their anxiety?”
He said that there are many other treatment options for anxiety that don’t come with tolerance or risk for addiction.
“My position would be that intermittent use is perfectly acceptable while you bide your time to explore other treatments. They may be pharmacological; they may, of course, be lifestyle changes, psychotherapies, and so on,” said Dr. Davies.
If, however, patients feel that chronic benzodiazepine use is their only option, this research informs that decision by quantifying the risks.
“We’ve always known that there was a problem, but there haven’t been high-quality epidemiological studies like this that allowed us to say what the numbers are,” said Dr. Davies.
Confirmatory research
In a comment, Christoph U. Correll, MD, professor of psychiatry at Hofstra University, Hempstead, N.Y., noted that the risk associated with benzodiazepine use, especially in older people, has been demonstrated repeatedly.
“In that context, it is not surprising that less continuous exposure to an established risk factor attenuates the risk for these adverse outcomes,” he said.
Dr. Correll, who was not involved in the study pointed out there is nevertheless a “risk of residual confounding by indication.”
In other words, “people with intermittent benzodiazepine use may have less severe underlying illness and better healthy lifestyle behaviors than those requiring chronic benzodiazepine administration.”
Also commenting on the research, Christian Vinkers, MD, PhD, psychiatrist and professor of stress and resilience, Amsterdam University Medical Centre, said that it confirms “once again that long-term benzodiazepine use should not be encouraged.”
“The risk of falls, as well as cognitive side effects and impaired driving skills, with the risk of road accidents, make chronic overuse of benzodiazepines a public health issue. Of course, there is a small group of patients who should have access to long-term use, but it is reasonable to assume that this group is currently too large,” he added.
The study was funded through a grant from the University of Toronto Department of Psychiatry Excellence Funds. No relevant financial relationships were declared.
A version of this article first appeared on Medscape.com.
BARCELONA – results of a large-scale study show.
Investigators matched more than 57,000 chronic benzodiazepine users with nearly 114,000 intermittent users and found that, at 1 year, chronic users had an 8% increased risk for emergency department visits and/or hospitalizations for falls.
Chronic users also had a 25% increased risk for hip fracture, a 4% raised risk for ED visits and/or hospitalizations for any reason, and a 23% increased risk for death.
Study investigator Simon J.C. Davies, MD, PhD, MSc, Centre for Addiction & Mental Health, Toronto, said that the research shows that, where possible, patients older than 65 years with anxiety or insomnia who are taking benzodiazepines should not stay on these medications continuously.
However, he acknowledged that, “in practical terms, there will be some who can’t change or do not want to change” their treatment.
The findings were presented at the annual meeting of the European College of Neuropsychopharmacology.
Wide range of adverse outcomes
The authors noted that benzodiazepines are used to treat anxiety and insomnia but are associated with a range of adverse outcomes, including falls, fractures, cognitive impairment, and mortality as well as tolerance and dose escalation.
“These risks are especially relevant in older adults,” they added, noting that some guidelines recommend avoiding the drugs in this population, whereas other suggest short-term benzodiazepine use for a maximum of 4 weeks.
Despite this, “benzodiazepines are widely prescribed in older adults.” One study showed that almost 15% of adults aged 65 years or older received at least one benzodiazepine prescription.
Moreover, chronic use is more common in older versus younger patients.
Benzodiazepine use among older adults “used to be higher,” Dr. Davies said in an interview, at around 20%, but the “numbers have come down,” partly because of the introduction of benzodiazepine-like sleep medications but also because of educational efforts.
“There are certainly campaigns in Ontario to educate physicians,” Dr. Davies said, “but I think more broadly people are aware of the activity of these drugs, and the tolerance and other issues.”
To compare the risk associated with chronic versus intermittent use of benzodiazepines in older adults, the team performed a population-based cohort study using linked health care databases in Ontario.
They focused on adults aged 65 years or older with a first benzodiazepine prescription after at least 1 year without taking the drugs.
Chronic benzodiazepine use was defined as 120 days of prescriptions over the first 180 days after the index prescription. Patients who met these criteria were matched with intermittent users in a 2:1 ratio by age and sex.
Patients were then propensity matched using 24 variables, including health system use in the year prior to the index prescription, clinical diagnoses, prior psychiatric health system use, falls, and income level.
The team identified 57,072 chronic benzodiazepine users and 312,468 intermittent users, of whom, 57,041 and 113,839, respectively, were propensity matched.
As expected, chronic users were prescribed benzodiazepines for more days than were the intermittent users over both the initial 180-day exposure period, at 141 days versus 33 days, and again during a further 180-day follow-up period, at 181 days versus 19 days.
Over the follow-up period, the daily lorazepam dose-equivalents of chronic users four times that of intermittent users.
Hospitalizations and/or ED visits for falls were higher among patients in the chronic benzodiazepine group, at 4.6% versus 3.2% in those who took the drugs intermittently.
After adjusting for benzodiazepine dose, the team found that chronic benzodiazepine use was associated with a significant increase in the risk for falls leading to hospital presentation over the 360-day study period, compared with intermittent use (hazard ratio, 1.08; P = .0124).
Sex differences
In addition, chronic use was linked to a significantly increased risk for hip fracture (HR, 1.25; P = .0095), and long-term care admission (HR, 1.32; P < .0001).
There was also a significant increase in ED visits and/or hospitalizations for any reason with chronic benzodiazepine use versus intermittent use (HR, 1.04; P = .0007), and an increase in the risk for death (HR, 1.23; P < .0001).
A nonsignificant increased risk for wrist fracture was also associated with chronic use of benzodiazepines (HR, 1.02; P = .8683).
Further analysis revealed some sex differences. For instance, men had a marked increase in the risk for hip fracture with chronic use (HR, 1.50; P = .0154), whereas the risk was not significant in women (HR, 1.16; P = .1332). In addition, mortality risk associated with chronic use was higher in men than in women (HR, 1.39; P < .0001 vs. HR, 1.10; P = .2245).
The decision to discontinue chronic benzodiazepine use can be challenging, said Dr. Davies. “If you’re advising people to stop, what happens to the treatment of their anxiety?”
He said that there are many other treatment options for anxiety that don’t come with tolerance or risk for addiction.
“My position would be that intermittent use is perfectly acceptable while you bide your time to explore other treatments. They may be pharmacological; they may, of course, be lifestyle changes, psychotherapies, and so on,” said Dr. Davies.
If, however, patients feel that chronic benzodiazepine use is their only option, this research informs that decision by quantifying the risks.
“We’ve always known that there was a problem, but there haven’t been high-quality epidemiological studies like this that allowed us to say what the numbers are,” said Dr. Davies.
Confirmatory research
In a comment, Christoph U. Correll, MD, professor of psychiatry at Hofstra University, Hempstead, N.Y., noted that the risk associated with benzodiazepine use, especially in older people, has been demonstrated repeatedly.
“In that context, it is not surprising that less continuous exposure to an established risk factor attenuates the risk for these adverse outcomes,” he said.
Dr. Correll, who was not involved in the study pointed out there is nevertheless a “risk of residual confounding by indication.”
In other words, “people with intermittent benzodiazepine use may have less severe underlying illness and better healthy lifestyle behaviors than those requiring chronic benzodiazepine administration.”
Also commenting on the research, Christian Vinkers, MD, PhD, psychiatrist and professor of stress and resilience, Amsterdam University Medical Centre, said that it confirms “once again that long-term benzodiazepine use should not be encouraged.”
“The risk of falls, as well as cognitive side effects and impaired driving skills, with the risk of road accidents, make chronic overuse of benzodiazepines a public health issue. Of course, there is a small group of patients who should have access to long-term use, but it is reasonable to assume that this group is currently too large,” he added.
The study was funded through a grant from the University of Toronto Department of Psychiatry Excellence Funds. No relevant financial relationships were declared.
A version of this article first appeared on Medscape.com.
BARCELONA – results of a large-scale study show.
Investigators matched more than 57,000 chronic benzodiazepine users with nearly 114,000 intermittent users and found that, at 1 year, chronic users had an 8% increased risk for emergency department visits and/or hospitalizations for falls.
Chronic users also had a 25% increased risk for hip fracture, a 4% raised risk for ED visits and/or hospitalizations for any reason, and a 23% increased risk for death.
Study investigator Simon J.C. Davies, MD, PhD, MSc, Centre for Addiction & Mental Health, Toronto, said that the research shows that, where possible, patients older than 65 years with anxiety or insomnia who are taking benzodiazepines should not stay on these medications continuously.
However, he acknowledged that, “in practical terms, there will be some who can’t change or do not want to change” their treatment.
The findings were presented at the annual meeting of the European College of Neuropsychopharmacology.
Wide range of adverse outcomes
The authors noted that benzodiazepines are used to treat anxiety and insomnia but are associated with a range of adverse outcomes, including falls, fractures, cognitive impairment, and mortality as well as tolerance and dose escalation.
“These risks are especially relevant in older adults,” they added, noting that some guidelines recommend avoiding the drugs in this population, whereas other suggest short-term benzodiazepine use for a maximum of 4 weeks.
Despite this, “benzodiazepines are widely prescribed in older adults.” One study showed that almost 15% of adults aged 65 years or older received at least one benzodiazepine prescription.
Moreover, chronic use is more common in older versus younger patients.
Benzodiazepine use among older adults “used to be higher,” Dr. Davies said in an interview, at around 20%, but the “numbers have come down,” partly because of the introduction of benzodiazepine-like sleep medications but also because of educational efforts.
“There are certainly campaigns in Ontario to educate physicians,” Dr. Davies said, “but I think more broadly people are aware of the activity of these drugs, and the tolerance and other issues.”
To compare the risk associated with chronic versus intermittent use of benzodiazepines in older adults, the team performed a population-based cohort study using linked health care databases in Ontario.
They focused on adults aged 65 years or older with a first benzodiazepine prescription after at least 1 year without taking the drugs.
Chronic benzodiazepine use was defined as 120 days of prescriptions over the first 180 days after the index prescription. Patients who met these criteria were matched with intermittent users in a 2:1 ratio by age and sex.
Patients were then propensity matched using 24 variables, including health system use in the year prior to the index prescription, clinical diagnoses, prior psychiatric health system use, falls, and income level.
The team identified 57,072 chronic benzodiazepine users and 312,468 intermittent users, of whom, 57,041 and 113,839, respectively, were propensity matched.
As expected, chronic users were prescribed benzodiazepines for more days than were the intermittent users over both the initial 180-day exposure period, at 141 days versus 33 days, and again during a further 180-day follow-up period, at 181 days versus 19 days.
Over the follow-up period, the daily lorazepam dose-equivalents of chronic users four times that of intermittent users.
Hospitalizations and/or ED visits for falls were higher among patients in the chronic benzodiazepine group, at 4.6% versus 3.2% in those who took the drugs intermittently.
After adjusting for benzodiazepine dose, the team found that chronic benzodiazepine use was associated with a significant increase in the risk for falls leading to hospital presentation over the 360-day study period, compared with intermittent use (hazard ratio, 1.08; P = .0124).
Sex differences
In addition, chronic use was linked to a significantly increased risk for hip fracture (HR, 1.25; P = .0095), and long-term care admission (HR, 1.32; P < .0001).
There was also a significant increase in ED visits and/or hospitalizations for any reason with chronic benzodiazepine use versus intermittent use (HR, 1.04; P = .0007), and an increase in the risk for death (HR, 1.23; P < .0001).
A nonsignificant increased risk for wrist fracture was also associated with chronic use of benzodiazepines (HR, 1.02; P = .8683).
Further analysis revealed some sex differences. For instance, men had a marked increase in the risk for hip fracture with chronic use (HR, 1.50; P = .0154), whereas the risk was not significant in women (HR, 1.16; P = .1332). In addition, mortality risk associated with chronic use was higher in men than in women (HR, 1.39; P < .0001 vs. HR, 1.10; P = .2245).
The decision to discontinue chronic benzodiazepine use can be challenging, said Dr. Davies. “If you’re advising people to stop, what happens to the treatment of their anxiety?”
He said that there are many other treatment options for anxiety that don’t come with tolerance or risk for addiction.
“My position would be that intermittent use is perfectly acceptable while you bide your time to explore other treatments. They may be pharmacological; they may, of course, be lifestyle changes, psychotherapies, and so on,” said Dr. Davies.
If, however, patients feel that chronic benzodiazepine use is their only option, this research informs that decision by quantifying the risks.
“We’ve always known that there was a problem, but there haven’t been high-quality epidemiological studies like this that allowed us to say what the numbers are,” said Dr. Davies.
Confirmatory research
In a comment, Christoph U. Correll, MD, professor of psychiatry at Hofstra University, Hempstead, N.Y., noted that the risk associated with benzodiazepine use, especially in older people, has been demonstrated repeatedly.
“In that context, it is not surprising that less continuous exposure to an established risk factor attenuates the risk for these adverse outcomes,” he said.
Dr. Correll, who was not involved in the study pointed out there is nevertheless a “risk of residual confounding by indication.”
In other words, “people with intermittent benzodiazepine use may have less severe underlying illness and better healthy lifestyle behaviors than those requiring chronic benzodiazepine administration.”
Also commenting on the research, Christian Vinkers, MD, PhD, psychiatrist and professor of stress and resilience, Amsterdam University Medical Centre, said that it confirms “once again that long-term benzodiazepine use should not be encouraged.”
“The risk of falls, as well as cognitive side effects and impaired driving skills, with the risk of road accidents, make chronic overuse of benzodiazepines a public health issue. Of course, there is a small group of patients who should have access to long-term use, but it is reasonable to assume that this group is currently too large,” he added.
The study was funded through a grant from the University of Toronto Department of Psychiatry Excellence Funds. No relevant financial relationships were declared.
A version of this article first appeared on Medscape.com.
AT ECNP 2023
Esketamine bests quetiapine for severe depression in head-to-head trial
BARCELONA – (TRD), results of a large, multicenter, head-to-head phase 3 trial show.
Results from the ESCAPE-TRD study, which included 675 participants with TRD, show that esketamine was associated with significantly increased rates of both depression and functional remission, compared with quetiapine.
More than 675 patients were randomly assigned to receive one of the two drugs along with ongoing treatment with an SSRI or a serotonin-norepinephrine reuptake inhibitor (SNRI).
Esketamine increased remission rates at 2 and 8 months over quetiapine by 72% and raised functional remission rates at 8 months by 88% while decreasing adverse event rates.
The findings were presented at the annual meeting of the European College of Neuropsychopharmacology and were published online in the New England Journal of Medicine.
New hope
The results provide “some hope for our patients suffering from TRD, which, given the data, is somewhat of a misnomer,” said study investigator Andreas Reif, MD, professor of psychiatry, psychosomatic medicine, and psychotherapy, University Hospital Frankfurt–Goethe University, Frankfurt am Main, Germany, and president-elect of the ECNP.
“These patients are not resistant, they just have resistance to monoaminergic drugs,” he added. Esketamine, he said, is a “new weapon in our armamentarium.”
Dr. Reif said TRD is a serious condition that affects approximately 20%-30% of those with major depressive disorder and has “substantial impact” on patients’ lives, including quality of life and level of functioning.
“We know that esketamine nasal spray is effective in TRD. However, up to now, there were only placebo-controlled trials in addition to ongoing antidepressant treatment,” Dr. Reif noted. Consequently, he added, a head-to-head comparison with an active agent with proven efficacy was “urgently needed.”
For the trial, patients from 171 sites in 24 countries with TRD, defined as a less than 25% improvement in symptoms with two or more consecutive treatments of adequate dosage and duration, were randomly assigned to receive esketamine nasal spray (n = 336) or quetiapine (n = 340) extended release together with ongoing SSRI or SNRI therapy.
Both esketamine and quetiapine were flexibly dosed. The primary endpoint was rates of remission at week 8 on the Montgomery-Åsberg Depression Rating Scale (MADRS). After week 8, patients entered a maintenance phase that lasted to week 32.
Dr. Reif said the study population was representative of a typical TRD population.
The average duration of the current depression episode was more than 5 years, and the average MADRS score was above 30.
Key findings
Results showed that those who received esketamine in combination with an SSRI or SNRI experienced a significantly higher rate of remission at week 8, compared with those treated with quetiapine (27.1% vs. 17.6%; P = .003). This equated to an adjusted odds ratio for remission of 1.74 (P = .003).
Use of esketamine was also associated with a higher rate of remission at week 8, and patients remained relapse free at week 32 (21.7% vs. 14.1% with quetiapine; odds ratio, 1.72; P = .008).
At every time point through the study, the proportion of patients experiencing remission was significantly greater with esketamine than with quetiapine. The absolute rate of remission at week 32 was 55.0%, versus 37.0% (P < .001).
Dr. Reif noted that the definition of remission used in the study was a MADRS score of less than or equal to 10, but if the “more lenient” definition of less than or equal to 12, which has been used previously, were to be applied, the absolute remission rates would rise to 65.1%, versus 46.7%.
Dr. Reif also presented results on functional remission rates beyond 32 weeks – data that were not included in the study as published in NEJM.
While remission rates increased over time in both study arms, the functional remission rate at week 32 was, again, significantly higher with esketamine than with quetiapine (38.1% vs. 25.0%; OR, 1.88; P < .001).
The safety data revealed no new signals, Dr. Reif said. Use of esketamine was associated with a lower rate of treatment-emergent adverse events that led to treatment discontinuation, at 4.2% vs. 11.0% with quetiapine.
Among patients given the ketamine-derived drug, there were lower rates of nervous system disorders, and there were no incidences of weight gain, fatigue, or hangover.
Dr. Reif said the results show that esketamine nasal spray was superior to quetiapine in achieving remission over time and that it “greatly improves patients’ functional impairment” while achieving “generally lower” adverse event rates.
He added that they are currently running a significant number of secondary analyses “to give us a better grasp of which patient benefits most” from esketamine therapy over quetiapine. The results may potentially be used to guide patient selection.
‘Tremendous advance’
Session co-chair Mark Weiser, MD, chairman at the department of psychiatry, Tel Aviv (Israel) University, said in an interview that the results are “very exciting” and offer “further proof of a tremendous advance in our field.”
Dr. Weiser, who was not involved in the study, added that demonstrating functional improvement with esketamine was key.
“It’s great to improve symptoms,” he said, “but to have patients show an improvement in their functionality is really the bottom line of this. Not only do you feel better, but you function better, and that’s of extreme importance and makes us feel very optimistic about the future.”
Josep Antoni Ramos-Quiroga, MD, PhD, head of psychiatry, Vall Hebron University Hospital and Autonomous University of Barcelona, welcomed the findings.
“The results of this study show the superior response and safety of esketamine nasal spray when compared with quetiapine,” he said in a release. “This gives people with treatment-resistant depression more safe treatment options.”
The study was funded by Janssen EMEA. Dr. Reif has relationships with Boehringer Ingelheim, COMPASS, Janssen Pharmaceuticals, LivaNova USA, Medice, Saga Therapeutics, and Shire. Other authors have disclosed numerous relationships with industry.
A version of this article first appeared on Medscape.com.
BARCELONA – (TRD), results of a large, multicenter, head-to-head phase 3 trial show.
Results from the ESCAPE-TRD study, which included 675 participants with TRD, show that esketamine was associated with significantly increased rates of both depression and functional remission, compared with quetiapine.
More than 675 patients were randomly assigned to receive one of the two drugs along with ongoing treatment with an SSRI or a serotonin-norepinephrine reuptake inhibitor (SNRI).
Esketamine increased remission rates at 2 and 8 months over quetiapine by 72% and raised functional remission rates at 8 months by 88% while decreasing adverse event rates.
The findings were presented at the annual meeting of the European College of Neuropsychopharmacology and were published online in the New England Journal of Medicine.
New hope
The results provide “some hope for our patients suffering from TRD, which, given the data, is somewhat of a misnomer,” said study investigator Andreas Reif, MD, professor of psychiatry, psychosomatic medicine, and psychotherapy, University Hospital Frankfurt–Goethe University, Frankfurt am Main, Germany, and president-elect of the ECNP.
“These patients are not resistant, they just have resistance to monoaminergic drugs,” he added. Esketamine, he said, is a “new weapon in our armamentarium.”
Dr. Reif said TRD is a serious condition that affects approximately 20%-30% of those with major depressive disorder and has “substantial impact” on patients’ lives, including quality of life and level of functioning.
“We know that esketamine nasal spray is effective in TRD. However, up to now, there were only placebo-controlled trials in addition to ongoing antidepressant treatment,” Dr. Reif noted. Consequently, he added, a head-to-head comparison with an active agent with proven efficacy was “urgently needed.”
For the trial, patients from 171 sites in 24 countries with TRD, defined as a less than 25% improvement in symptoms with two or more consecutive treatments of adequate dosage and duration, were randomly assigned to receive esketamine nasal spray (n = 336) or quetiapine (n = 340) extended release together with ongoing SSRI or SNRI therapy.
Both esketamine and quetiapine were flexibly dosed. The primary endpoint was rates of remission at week 8 on the Montgomery-Åsberg Depression Rating Scale (MADRS). After week 8, patients entered a maintenance phase that lasted to week 32.
Dr. Reif said the study population was representative of a typical TRD population.
The average duration of the current depression episode was more than 5 years, and the average MADRS score was above 30.
Key findings
Results showed that those who received esketamine in combination with an SSRI or SNRI experienced a significantly higher rate of remission at week 8, compared with those treated with quetiapine (27.1% vs. 17.6%; P = .003). This equated to an adjusted odds ratio for remission of 1.74 (P = .003).
Use of esketamine was also associated with a higher rate of remission at week 8, and patients remained relapse free at week 32 (21.7% vs. 14.1% with quetiapine; odds ratio, 1.72; P = .008).
At every time point through the study, the proportion of patients experiencing remission was significantly greater with esketamine than with quetiapine. The absolute rate of remission at week 32 was 55.0%, versus 37.0% (P < .001).
Dr. Reif noted that the definition of remission used in the study was a MADRS score of less than or equal to 10, but if the “more lenient” definition of less than or equal to 12, which has been used previously, were to be applied, the absolute remission rates would rise to 65.1%, versus 46.7%.
Dr. Reif also presented results on functional remission rates beyond 32 weeks – data that were not included in the study as published in NEJM.
While remission rates increased over time in both study arms, the functional remission rate at week 32 was, again, significantly higher with esketamine than with quetiapine (38.1% vs. 25.0%; OR, 1.88; P < .001).
The safety data revealed no new signals, Dr. Reif said. Use of esketamine was associated with a lower rate of treatment-emergent adverse events that led to treatment discontinuation, at 4.2% vs. 11.0% with quetiapine.
Among patients given the ketamine-derived drug, there were lower rates of nervous system disorders, and there were no incidences of weight gain, fatigue, or hangover.
Dr. Reif said the results show that esketamine nasal spray was superior to quetiapine in achieving remission over time and that it “greatly improves patients’ functional impairment” while achieving “generally lower” adverse event rates.
He added that they are currently running a significant number of secondary analyses “to give us a better grasp of which patient benefits most” from esketamine therapy over quetiapine. The results may potentially be used to guide patient selection.
‘Tremendous advance’
Session co-chair Mark Weiser, MD, chairman at the department of psychiatry, Tel Aviv (Israel) University, said in an interview that the results are “very exciting” and offer “further proof of a tremendous advance in our field.”
Dr. Weiser, who was not involved in the study, added that demonstrating functional improvement with esketamine was key.
“It’s great to improve symptoms,” he said, “but to have patients show an improvement in their functionality is really the bottom line of this. Not only do you feel better, but you function better, and that’s of extreme importance and makes us feel very optimistic about the future.”
Josep Antoni Ramos-Quiroga, MD, PhD, head of psychiatry, Vall Hebron University Hospital and Autonomous University of Barcelona, welcomed the findings.
“The results of this study show the superior response and safety of esketamine nasal spray when compared with quetiapine,” he said in a release. “This gives people with treatment-resistant depression more safe treatment options.”
The study was funded by Janssen EMEA. Dr. Reif has relationships with Boehringer Ingelheim, COMPASS, Janssen Pharmaceuticals, LivaNova USA, Medice, Saga Therapeutics, and Shire. Other authors have disclosed numerous relationships with industry.
A version of this article first appeared on Medscape.com.
BARCELONA – (TRD), results of a large, multicenter, head-to-head phase 3 trial show.
Results from the ESCAPE-TRD study, which included 675 participants with TRD, show that esketamine was associated with significantly increased rates of both depression and functional remission, compared with quetiapine.
More than 675 patients were randomly assigned to receive one of the two drugs along with ongoing treatment with an SSRI or a serotonin-norepinephrine reuptake inhibitor (SNRI).
Esketamine increased remission rates at 2 and 8 months over quetiapine by 72% and raised functional remission rates at 8 months by 88% while decreasing adverse event rates.
The findings were presented at the annual meeting of the European College of Neuropsychopharmacology and were published online in the New England Journal of Medicine.
New hope
The results provide “some hope for our patients suffering from TRD, which, given the data, is somewhat of a misnomer,” said study investigator Andreas Reif, MD, professor of psychiatry, psychosomatic medicine, and psychotherapy, University Hospital Frankfurt–Goethe University, Frankfurt am Main, Germany, and president-elect of the ECNP.
“These patients are not resistant, they just have resistance to monoaminergic drugs,” he added. Esketamine, he said, is a “new weapon in our armamentarium.”
Dr. Reif said TRD is a serious condition that affects approximately 20%-30% of those with major depressive disorder and has “substantial impact” on patients’ lives, including quality of life and level of functioning.
“We know that esketamine nasal spray is effective in TRD. However, up to now, there were only placebo-controlled trials in addition to ongoing antidepressant treatment,” Dr. Reif noted. Consequently, he added, a head-to-head comparison with an active agent with proven efficacy was “urgently needed.”
For the trial, patients from 171 sites in 24 countries with TRD, defined as a less than 25% improvement in symptoms with two or more consecutive treatments of adequate dosage and duration, were randomly assigned to receive esketamine nasal spray (n = 336) or quetiapine (n = 340) extended release together with ongoing SSRI or SNRI therapy.
Both esketamine and quetiapine were flexibly dosed. The primary endpoint was rates of remission at week 8 on the Montgomery-Åsberg Depression Rating Scale (MADRS). After week 8, patients entered a maintenance phase that lasted to week 32.
Dr. Reif said the study population was representative of a typical TRD population.
The average duration of the current depression episode was more than 5 years, and the average MADRS score was above 30.
Key findings
Results showed that those who received esketamine in combination with an SSRI or SNRI experienced a significantly higher rate of remission at week 8, compared with those treated with quetiapine (27.1% vs. 17.6%; P = .003). This equated to an adjusted odds ratio for remission of 1.74 (P = .003).
Use of esketamine was also associated with a higher rate of remission at week 8, and patients remained relapse free at week 32 (21.7% vs. 14.1% with quetiapine; odds ratio, 1.72; P = .008).
At every time point through the study, the proportion of patients experiencing remission was significantly greater with esketamine than with quetiapine. The absolute rate of remission at week 32 was 55.0%, versus 37.0% (P < .001).
Dr. Reif noted that the definition of remission used in the study was a MADRS score of less than or equal to 10, but if the “more lenient” definition of less than or equal to 12, which has been used previously, were to be applied, the absolute remission rates would rise to 65.1%, versus 46.7%.
Dr. Reif also presented results on functional remission rates beyond 32 weeks – data that were not included in the study as published in NEJM.
While remission rates increased over time in both study arms, the functional remission rate at week 32 was, again, significantly higher with esketamine than with quetiapine (38.1% vs. 25.0%; OR, 1.88; P < .001).
The safety data revealed no new signals, Dr. Reif said. Use of esketamine was associated with a lower rate of treatment-emergent adverse events that led to treatment discontinuation, at 4.2% vs. 11.0% with quetiapine.
Among patients given the ketamine-derived drug, there were lower rates of nervous system disorders, and there were no incidences of weight gain, fatigue, or hangover.
Dr. Reif said the results show that esketamine nasal spray was superior to quetiapine in achieving remission over time and that it “greatly improves patients’ functional impairment” while achieving “generally lower” adverse event rates.
He added that they are currently running a significant number of secondary analyses “to give us a better grasp of which patient benefits most” from esketamine therapy over quetiapine. The results may potentially be used to guide patient selection.
‘Tremendous advance’
Session co-chair Mark Weiser, MD, chairman at the department of psychiatry, Tel Aviv (Israel) University, said in an interview that the results are “very exciting” and offer “further proof of a tremendous advance in our field.”
Dr. Weiser, who was not involved in the study, added that demonstrating functional improvement with esketamine was key.
“It’s great to improve symptoms,” he said, “but to have patients show an improvement in their functionality is really the bottom line of this. Not only do you feel better, but you function better, and that’s of extreme importance and makes us feel very optimistic about the future.”
Josep Antoni Ramos-Quiroga, MD, PhD, head of psychiatry, Vall Hebron University Hospital and Autonomous University of Barcelona, welcomed the findings.
“The results of this study show the superior response and safety of esketamine nasal spray when compared with quetiapine,” he said in a release. “This gives people with treatment-resistant depression more safe treatment options.”
The study was funded by Janssen EMEA. Dr. Reif has relationships with Boehringer Ingelheim, COMPASS, Janssen Pharmaceuticals, LivaNova USA, Medice, Saga Therapeutics, and Shire. Other authors have disclosed numerous relationships with industry.
A version of this article first appeared on Medscape.com.
AT ECNP 2023
Running vs. meds for depression: Is there a clear winner?
BARCELONA – However, running provides greater physical health benefits while adherence is greater with drug treatment.
“Both interventions helped with the depression to around the same extent,” study presenter Brenda W.J.H. Penninx, PhD, professor of psychiatric epidemiology at the VU University Medical Center in Amsterdam said in a release.
However, medication “generally had worse impact on body weight, heart rate variability, and blood pressure, whereas running therapy led to improved effect on general fitness and heart rate,” Dr. Penninx added.
The findings were presented at the annual congress of the European College of Neuropsychopharmacology and recently published in the Journal of Affective Disorders.
Research gap
Previous research suggests exercise interventions can have a therapeutic effect equivalent to antidepressants, but their impact on physical health has been “poorly examined in a psychiatric population, the investigators note.
The authors note that depressive and anxiety disorders “cause immense suffering by compromising both mental and physical health,” and the need for effective treatments is “pressing.”
Although antidepressant medication is considered a “standard first-line treatment” alongside psychotherapy, the drugs are “not effective for all and [are] often associated with side effects.”
The Mood Treatment with Antidepressant or Running (MOTAR) study was a partially randomized pragmatic trial in adults with depression and/or anxiety disorder, as determined using the DSM-IV algorithms with the Composite International Diagnostic Interview (CIDI).
The 16-week intervention study included 141 patients with depression and/or anxiety. The mean age was 38.2 years and 58% were women. Participants were offered a choice of treatment: 16 weeks of treatment with the selective serotonin reuptake inhibitor (SSRI) escitalopram (Lexapro) or a 16-week group-based running therapy.
Patients without a strong preference for treatment allocation were randomly assigned to either antidepressant medication or running therapy, while those unwilling to be randomized were allocated to their preferred intervention.
A total of 22 patients were randomly assigned to receive antidepressant treatment and 13 to running therapy. A total of 36 participants chose antidepressant treatment, while 83 chose the running therapy.
Running therapy involved 16 weeks of supervised 45-minute outdoor running sessions to a target of two to three sessions per week, in line with U.S. Centers for Disease Control and Prevention/American College of Sports Medicine recommendations.
Physical health benefits
Treatment adherence in the antidepressant group, defined as still using treatment at the posttreatment assessment, was 82.2% vs. 52.1% among running therapy participants, where adherence was specified as completing more than 22 sessions.
Remission was defined as no longer meeting the criteria of a current depressive or anxiety disorder via CIDI at week 16.
On intention-to-treat analysis, this requirement was met by 44.8% of patients taking antidepressants and 43.3% of those in the running therapy group (P = .88).
However, running therapy patients showed significant improvements in weight (P = .001), waist circumference (P = .011), systolic and diastolic blood pressure (P = .011 and P = .002, respectively), heart rate (P = .033), and heart rate variability (P = .006).
The investigators note the more favorable physical health changes in the running therapy group were attributable to “larger improvements in the running therapy group but also due to larger deterioration in the antidepressant group.”
Antidepressants are generally safe and effective and work for most people, said Dr. Penninx. She also noted that untreated depression leads to worse outcomes, so “antidepressants are generally a good choice.”
Nevertheless, she said, “we need to extend our treatment arsenal as not all patients respond to antidepressants or are willing to take them.”
The study’s results, she added, suggest that “implementing exercise therapy is something we should take much more seriously, as it could be a good, and maybe even better, choice for some of our patients.”
Francesca Cirulli, PhD, senior researcher and group leader at the National Institute of Health, Rome, said in an interview that the study is notable because it is one of the first to prospectively measure the effects of antidepressants and running on physical health.
Dr. Cirulli suggested that running therapy could be tried ahead of treatment with antidepressants if patients prefer physical exercise and can adhere to it. However, she said, the findings also suggest that an increase in physical activity should accompany treatment with antidepressant medications.
Overall, Dr. Cirulli said “the message should not be that everyone can be helped by running and antidepressants are bad,” but rather “these are both helpful, but not excellent, interventions against depression.”
‘Important limitations’
In a comment, Eduard Vieta, MD, PhD, chair of the department of psychiatry and psychology at the University of Barcelona Hospital Clinic, noted the study has “very important limitations.”
Among the limitations: the inclusion of nonrandomized patients who received the treatment of their choice, causing obvious bias and the “lack of binding and power issues” over the number of patients enrolled.
Dr. Vieta also said that the results “seem obvious, because it is known that exercise improves physical health.”
The trial therefore shows, “if you can find people who are able to do exercise while depressed and adhere to it, those would benefit from that practice,” he noted.
Also commenting on the research, Eric Ruhe, MD, PhD, Radboud University Medical Center, Nijmegen, the Netherlands, said the results are confirmatory and “again show physical health can influence mental health.”
However, Dr. Ruhe underlined, while it is “common practice” to allow patients to follow their treatment preference and is “understandable from a pragmatic point of view,” the group comparison may be “biased,” compared with a “truly randomized study.”
“For example, patients in the antidepressant group were more depressed, which might be associated with less chance of persisting engagement in the exercises,” he said. “So, we have to be careful not to overinterpret the comparisons between groups, which the authors acknowledge properly.”
Turning to the difference in adherence between the two interventions, Dr. Ruhe said the results show adopting, and adhering to, a lifestyle habit is more difficult than taking a pill.
“This is not exclusively found in psychiatry, indicating that we also have to focus on how to improve compliance to healthy behavior. This could have tremendous impact on health care more generally, but also on psychiatric diseases,” Dr. Ruhe said.
The MOTAR study was funded by a NWO-VICI grant. Funding for the inflammatory markers was provided by ZonMw: The Netherlands Organization for Health Research and Development. The study authors and clinicians interviewed for this story declared no relevant financial relationships.
A version of this article first appeared on Medscape.com.
BARCELONA – However, running provides greater physical health benefits while adherence is greater with drug treatment.
“Both interventions helped with the depression to around the same extent,” study presenter Brenda W.J.H. Penninx, PhD, professor of psychiatric epidemiology at the VU University Medical Center in Amsterdam said in a release.
However, medication “generally had worse impact on body weight, heart rate variability, and blood pressure, whereas running therapy led to improved effect on general fitness and heart rate,” Dr. Penninx added.
The findings were presented at the annual congress of the European College of Neuropsychopharmacology and recently published in the Journal of Affective Disorders.
Research gap
Previous research suggests exercise interventions can have a therapeutic effect equivalent to antidepressants, but their impact on physical health has been “poorly examined in a psychiatric population, the investigators note.
The authors note that depressive and anxiety disorders “cause immense suffering by compromising both mental and physical health,” and the need for effective treatments is “pressing.”
Although antidepressant medication is considered a “standard first-line treatment” alongside psychotherapy, the drugs are “not effective for all and [are] often associated with side effects.”
The Mood Treatment with Antidepressant or Running (MOTAR) study was a partially randomized pragmatic trial in adults with depression and/or anxiety disorder, as determined using the DSM-IV algorithms with the Composite International Diagnostic Interview (CIDI).
The 16-week intervention study included 141 patients with depression and/or anxiety. The mean age was 38.2 years and 58% were women. Participants were offered a choice of treatment: 16 weeks of treatment with the selective serotonin reuptake inhibitor (SSRI) escitalopram (Lexapro) or a 16-week group-based running therapy.
Patients without a strong preference for treatment allocation were randomly assigned to either antidepressant medication or running therapy, while those unwilling to be randomized were allocated to their preferred intervention.
A total of 22 patients were randomly assigned to receive antidepressant treatment and 13 to running therapy. A total of 36 participants chose antidepressant treatment, while 83 chose the running therapy.
Running therapy involved 16 weeks of supervised 45-minute outdoor running sessions to a target of two to three sessions per week, in line with U.S. Centers for Disease Control and Prevention/American College of Sports Medicine recommendations.
Physical health benefits
Treatment adherence in the antidepressant group, defined as still using treatment at the posttreatment assessment, was 82.2% vs. 52.1% among running therapy participants, where adherence was specified as completing more than 22 sessions.
Remission was defined as no longer meeting the criteria of a current depressive or anxiety disorder via CIDI at week 16.
On intention-to-treat analysis, this requirement was met by 44.8% of patients taking antidepressants and 43.3% of those in the running therapy group (P = .88).
However, running therapy patients showed significant improvements in weight (P = .001), waist circumference (P = .011), systolic and diastolic blood pressure (P = .011 and P = .002, respectively), heart rate (P = .033), and heart rate variability (P = .006).
The investigators note the more favorable physical health changes in the running therapy group were attributable to “larger improvements in the running therapy group but also due to larger deterioration in the antidepressant group.”
Antidepressants are generally safe and effective and work for most people, said Dr. Penninx. She also noted that untreated depression leads to worse outcomes, so “antidepressants are generally a good choice.”
Nevertheless, she said, “we need to extend our treatment arsenal as not all patients respond to antidepressants or are willing to take them.”
The study’s results, she added, suggest that “implementing exercise therapy is something we should take much more seriously, as it could be a good, and maybe even better, choice for some of our patients.”
Francesca Cirulli, PhD, senior researcher and group leader at the National Institute of Health, Rome, said in an interview that the study is notable because it is one of the first to prospectively measure the effects of antidepressants and running on physical health.
Dr. Cirulli suggested that running therapy could be tried ahead of treatment with antidepressants if patients prefer physical exercise and can adhere to it. However, she said, the findings also suggest that an increase in physical activity should accompany treatment with antidepressant medications.
Overall, Dr. Cirulli said “the message should not be that everyone can be helped by running and antidepressants are bad,” but rather “these are both helpful, but not excellent, interventions against depression.”
‘Important limitations’
In a comment, Eduard Vieta, MD, PhD, chair of the department of psychiatry and psychology at the University of Barcelona Hospital Clinic, noted the study has “very important limitations.”
Among the limitations: the inclusion of nonrandomized patients who received the treatment of their choice, causing obvious bias and the “lack of binding and power issues” over the number of patients enrolled.
Dr. Vieta also said that the results “seem obvious, because it is known that exercise improves physical health.”
The trial therefore shows, “if you can find people who are able to do exercise while depressed and adhere to it, those would benefit from that practice,” he noted.
Also commenting on the research, Eric Ruhe, MD, PhD, Radboud University Medical Center, Nijmegen, the Netherlands, said the results are confirmatory and “again show physical health can influence mental health.”
However, Dr. Ruhe underlined, while it is “common practice” to allow patients to follow their treatment preference and is “understandable from a pragmatic point of view,” the group comparison may be “biased,” compared with a “truly randomized study.”
“For example, patients in the antidepressant group were more depressed, which might be associated with less chance of persisting engagement in the exercises,” he said. “So, we have to be careful not to overinterpret the comparisons between groups, which the authors acknowledge properly.”
Turning to the difference in adherence between the two interventions, Dr. Ruhe said the results show adopting, and adhering to, a lifestyle habit is more difficult than taking a pill.
“This is not exclusively found in psychiatry, indicating that we also have to focus on how to improve compliance to healthy behavior. This could have tremendous impact on health care more generally, but also on psychiatric diseases,” Dr. Ruhe said.
The MOTAR study was funded by a NWO-VICI grant. Funding for the inflammatory markers was provided by ZonMw: The Netherlands Organization for Health Research and Development. The study authors and clinicians interviewed for this story declared no relevant financial relationships.
A version of this article first appeared on Medscape.com.
BARCELONA – However, running provides greater physical health benefits while adherence is greater with drug treatment.
“Both interventions helped with the depression to around the same extent,” study presenter Brenda W.J.H. Penninx, PhD, professor of psychiatric epidemiology at the VU University Medical Center in Amsterdam said in a release.
However, medication “generally had worse impact on body weight, heart rate variability, and blood pressure, whereas running therapy led to improved effect on general fitness and heart rate,” Dr. Penninx added.
The findings were presented at the annual congress of the European College of Neuropsychopharmacology and recently published in the Journal of Affective Disorders.
Research gap
Previous research suggests exercise interventions can have a therapeutic effect equivalent to antidepressants, but their impact on physical health has been “poorly examined in a psychiatric population, the investigators note.
The authors note that depressive and anxiety disorders “cause immense suffering by compromising both mental and physical health,” and the need for effective treatments is “pressing.”
Although antidepressant medication is considered a “standard first-line treatment” alongside psychotherapy, the drugs are “not effective for all and [are] often associated with side effects.”
The Mood Treatment with Antidepressant or Running (MOTAR) study was a partially randomized pragmatic trial in adults with depression and/or anxiety disorder, as determined using the DSM-IV algorithms with the Composite International Diagnostic Interview (CIDI).
The 16-week intervention study included 141 patients with depression and/or anxiety. The mean age was 38.2 years and 58% were women. Participants were offered a choice of treatment: 16 weeks of treatment with the selective serotonin reuptake inhibitor (SSRI) escitalopram (Lexapro) or a 16-week group-based running therapy.
Patients without a strong preference for treatment allocation were randomly assigned to either antidepressant medication or running therapy, while those unwilling to be randomized were allocated to their preferred intervention.
A total of 22 patients were randomly assigned to receive antidepressant treatment and 13 to running therapy. A total of 36 participants chose antidepressant treatment, while 83 chose the running therapy.
Running therapy involved 16 weeks of supervised 45-minute outdoor running sessions to a target of two to three sessions per week, in line with U.S. Centers for Disease Control and Prevention/American College of Sports Medicine recommendations.
Physical health benefits
Treatment adherence in the antidepressant group, defined as still using treatment at the posttreatment assessment, was 82.2% vs. 52.1% among running therapy participants, where adherence was specified as completing more than 22 sessions.
Remission was defined as no longer meeting the criteria of a current depressive or anxiety disorder via CIDI at week 16.
On intention-to-treat analysis, this requirement was met by 44.8% of patients taking antidepressants and 43.3% of those in the running therapy group (P = .88).
However, running therapy patients showed significant improvements in weight (P = .001), waist circumference (P = .011), systolic and diastolic blood pressure (P = .011 and P = .002, respectively), heart rate (P = .033), and heart rate variability (P = .006).
The investigators note the more favorable physical health changes in the running therapy group were attributable to “larger improvements in the running therapy group but also due to larger deterioration in the antidepressant group.”
Antidepressants are generally safe and effective and work for most people, said Dr. Penninx. She also noted that untreated depression leads to worse outcomes, so “antidepressants are generally a good choice.”
Nevertheless, she said, “we need to extend our treatment arsenal as not all patients respond to antidepressants or are willing to take them.”
The study’s results, she added, suggest that “implementing exercise therapy is something we should take much more seriously, as it could be a good, and maybe even better, choice for some of our patients.”
Francesca Cirulli, PhD, senior researcher and group leader at the National Institute of Health, Rome, said in an interview that the study is notable because it is one of the first to prospectively measure the effects of antidepressants and running on physical health.
Dr. Cirulli suggested that running therapy could be tried ahead of treatment with antidepressants if patients prefer physical exercise and can adhere to it. However, she said, the findings also suggest that an increase in physical activity should accompany treatment with antidepressant medications.
Overall, Dr. Cirulli said “the message should not be that everyone can be helped by running and antidepressants are bad,” but rather “these are both helpful, but not excellent, interventions against depression.”
‘Important limitations’
In a comment, Eduard Vieta, MD, PhD, chair of the department of psychiatry and psychology at the University of Barcelona Hospital Clinic, noted the study has “very important limitations.”
Among the limitations: the inclusion of nonrandomized patients who received the treatment of their choice, causing obvious bias and the “lack of binding and power issues” over the number of patients enrolled.
Dr. Vieta also said that the results “seem obvious, because it is known that exercise improves physical health.”
The trial therefore shows, “if you can find people who are able to do exercise while depressed and adhere to it, those would benefit from that practice,” he noted.
Also commenting on the research, Eric Ruhe, MD, PhD, Radboud University Medical Center, Nijmegen, the Netherlands, said the results are confirmatory and “again show physical health can influence mental health.”
However, Dr. Ruhe underlined, while it is “common practice” to allow patients to follow their treatment preference and is “understandable from a pragmatic point of view,” the group comparison may be “biased,” compared with a “truly randomized study.”
“For example, patients in the antidepressant group were more depressed, which might be associated with less chance of persisting engagement in the exercises,” he said. “So, we have to be careful not to overinterpret the comparisons between groups, which the authors acknowledge properly.”
Turning to the difference in adherence between the two interventions, Dr. Ruhe said the results show adopting, and adhering to, a lifestyle habit is more difficult than taking a pill.
“This is not exclusively found in psychiatry, indicating that we also have to focus on how to improve compliance to healthy behavior. This could have tremendous impact on health care more generally, but also on psychiatric diseases,” Dr. Ruhe said.
The MOTAR study was funded by a NWO-VICI grant. Funding for the inflammatory markers was provided by ZonMw: The Netherlands Organization for Health Research and Development. The study authors and clinicians interviewed for this story declared no relevant financial relationships.
A version of this article first appeared on Medscape.com.
AT ECNP 2023
Exercise timing may dictate obesity, type 2 diabetes risk
Tongyu Ma, PhD, research assistant professor with the Health Sciences Department, Franklin Pierce University, Rindge, N.H., and colleagues studied data on almost 5,300 individuals, finding a strong association between moderate to vigorous physical activity (MVPA) and obesity.
The research, published in Obesity, showed that people who exercised in the morning had a lower body mass index than that of those who exercised at other times, even though they were more sedentary.
For the second study, Chirag J. Patel, PhD, associate professor of biomedical informatics at Harvard Medical School, Boston, and colleagues examined more than 93,000 individuals and found that morning and afternoon, but not evening, exercise reduced the risk for type 2 diabetes.
However, the results, published in Diabetologia, also indicated that people who undertook at least MVPA were protected against developing type 2 diabetes no matter what time of day they exercised.
Along with considering the timing of exercise, the authors suggest that it is “helpful to include some higher intensity activity to help reduce the risk of developing diabetes and other cardiovascular disease.”
Morning exercisers perform less physical activity
Dr. Ma and colleagues noted that “although a beneficial association among the levels of physical activity with obesity has been frequently reported, the optimal timing of physical activity for decreasing obesity remains controversial.”
The researchers analyzed data from the National Health and Nutrition Examination Survey for the 2003-2004 and 2005-2006 cycles, because accelerometry was implemented in those periods.
They included 5,285 individuals aged ≥ 20 years who had physical activity measured via an accelerometer worn on the right hip during waking hours for 7 consecutive days.
The diurnal pattern of MVPA was classified into three clusters by the established technique of K-means clustering analysis: morning (n = 642), midday (n = 2,456), and evening (n = 2,187).
The association between MVPA, diurnal pattern, and obesity was then assessed in linear regression models taking into account a range of potential confounding factors.
Overall, participants in the morning cluster were older and more likely to be female than those in the other clusters (P < .001 for both). They were also more likely to be nonsmokers (P = .007) and to have less than high school education (P = .0041).
Morning cluster individuals performed less physical activity and were more sedentary than those in the midday and evening groups (P < .001 for both), although they were more likely to be healthy eaters (P = .004), with a lower calorie intake (P < .001).
Individuals in the morning cluster had, on average, a lower body mass index than those in other clusters, at 27.4 vs. 28.4 in the midday cluster and 28.2 in the evening cluster (P for interaction = .02).
Morning cluster participants also had a lower waist circumference than participants in the midday or evening cluster: 95.9 cm, 97.9 cm, and 97.3 cm, respectively (P for interaction = .06).
The team reported that there was a strong linear association between MVPA and obesity in the morning cluster, whereas there was a weaker curvilinear association in the midday and evening clusters.
“This is exciting new research that is consistent with a common tip for meeting exercise goals – that is, schedule exercise in the morning before emails, phone calls, or meetings that might distract you,” Rebecca Krukowski, PhD, professor, public health sciences, University of Virginia, Charlottesville, said in a release.
However, she noted that the cross-sectional nature of the study means that it is “not known whether people who exercise consistently in the morning may be systematically different from those who exercise at other times, in ways that were not measured in this study.
“For example, people who exercise regularly in the morning could have more predictable schedules, such as being less likely to be shift workers or less likely to have caregiving responsibilities that impede morning exercise,” said Dr. Krukowski, who was not involved in the study.
No association between evening activity and type 2 diabetes risk
In the second study, the team studied 93,095 persons in the UK Biobank, with a mean age of 62 years and no history of type 2 diabetes, who wore a wrist accelerometer for 1 week.
The movement data were used to estimate the metabolic equivalent of task, which was then summed into the total physical activity completed in the morning, afternoon, and evening and linked to the development of incident type 2 diabetes.
After adjustment for potential confounding factors, both morning and afternoon physical activity were associated with a reduced risk of developing type 2 diabetes, at hazard ratios of 0.90 (P = 7 × 10-8) and 0.91 (P = 1 × 10-5), respectively.
However, there was no association between evening activity and the risk for type 2 diabetes, at a hazard ratio of 0.95 (P = .07).
The team found, however, that MVPA and vigorous physical activity were associated with a reduced risk for type 2 diabetes at all times of day.
Dr. Patel’s study was supported in part by National Institutes of Health grants. No other funding was declared. No relevant financial relationships were declared.
A version of this article appeared on Medscape.com.
Tongyu Ma, PhD, research assistant professor with the Health Sciences Department, Franklin Pierce University, Rindge, N.H., and colleagues studied data on almost 5,300 individuals, finding a strong association between moderate to vigorous physical activity (MVPA) and obesity.
The research, published in Obesity, showed that people who exercised in the morning had a lower body mass index than that of those who exercised at other times, even though they were more sedentary.
For the second study, Chirag J. Patel, PhD, associate professor of biomedical informatics at Harvard Medical School, Boston, and colleagues examined more than 93,000 individuals and found that morning and afternoon, but not evening, exercise reduced the risk for type 2 diabetes.
However, the results, published in Diabetologia, also indicated that people who undertook at least MVPA were protected against developing type 2 diabetes no matter what time of day they exercised.
Along with considering the timing of exercise, the authors suggest that it is “helpful to include some higher intensity activity to help reduce the risk of developing diabetes and other cardiovascular disease.”
Morning exercisers perform less physical activity
Dr. Ma and colleagues noted that “although a beneficial association among the levels of physical activity with obesity has been frequently reported, the optimal timing of physical activity for decreasing obesity remains controversial.”
The researchers analyzed data from the National Health and Nutrition Examination Survey for the 2003-2004 and 2005-2006 cycles, because accelerometry was implemented in those periods.
They included 5,285 individuals aged ≥ 20 years who had physical activity measured via an accelerometer worn on the right hip during waking hours for 7 consecutive days.
The diurnal pattern of MVPA was classified into three clusters by the established technique of K-means clustering analysis: morning (n = 642), midday (n = 2,456), and evening (n = 2,187).
The association between MVPA, diurnal pattern, and obesity was then assessed in linear regression models taking into account a range of potential confounding factors.
Overall, participants in the morning cluster were older and more likely to be female than those in the other clusters (P < .001 for both). They were also more likely to be nonsmokers (P = .007) and to have less than high school education (P = .0041).
Morning cluster individuals performed less physical activity and were more sedentary than those in the midday and evening groups (P < .001 for both), although they were more likely to be healthy eaters (P = .004), with a lower calorie intake (P < .001).
Individuals in the morning cluster had, on average, a lower body mass index than those in other clusters, at 27.4 vs. 28.4 in the midday cluster and 28.2 in the evening cluster (P for interaction = .02).
Morning cluster participants also had a lower waist circumference than participants in the midday or evening cluster: 95.9 cm, 97.9 cm, and 97.3 cm, respectively (P for interaction = .06).
The team reported that there was a strong linear association between MVPA and obesity in the morning cluster, whereas there was a weaker curvilinear association in the midday and evening clusters.
“This is exciting new research that is consistent with a common tip for meeting exercise goals – that is, schedule exercise in the morning before emails, phone calls, or meetings that might distract you,” Rebecca Krukowski, PhD, professor, public health sciences, University of Virginia, Charlottesville, said in a release.
However, she noted that the cross-sectional nature of the study means that it is “not known whether people who exercise consistently in the morning may be systematically different from those who exercise at other times, in ways that were not measured in this study.
“For example, people who exercise regularly in the morning could have more predictable schedules, such as being less likely to be shift workers or less likely to have caregiving responsibilities that impede morning exercise,” said Dr. Krukowski, who was not involved in the study.
No association between evening activity and type 2 diabetes risk
In the second study, the team studied 93,095 persons in the UK Biobank, with a mean age of 62 years and no history of type 2 diabetes, who wore a wrist accelerometer for 1 week.
The movement data were used to estimate the metabolic equivalent of task, which was then summed into the total physical activity completed in the morning, afternoon, and evening and linked to the development of incident type 2 diabetes.
After adjustment for potential confounding factors, both morning and afternoon physical activity were associated with a reduced risk of developing type 2 diabetes, at hazard ratios of 0.90 (P = 7 × 10-8) and 0.91 (P = 1 × 10-5), respectively.
However, there was no association between evening activity and the risk for type 2 diabetes, at a hazard ratio of 0.95 (P = .07).
The team found, however, that MVPA and vigorous physical activity were associated with a reduced risk for type 2 diabetes at all times of day.
Dr. Patel’s study was supported in part by National Institutes of Health grants. No other funding was declared. No relevant financial relationships were declared.
A version of this article appeared on Medscape.com.
Tongyu Ma, PhD, research assistant professor with the Health Sciences Department, Franklin Pierce University, Rindge, N.H., and colleagues studied data on almost 5,300 individuals, finding a strong association between moderate to vigorous physical activity (MVPA) and obesity.
The research, published in Obesity, showed that people who exercised in the morning had a lower body mass index than that of those who exercised at other times, even though they were more sedentary.
For the second study, Chirag J. Patel, PhD, associate professor of biomedical informatics at Harvard Medical School, Boston, and colleagues examined more than 93,000 individuals and found that morning and afternoon, but not evening, exercise reduced the risk for type 2 diabetes.
However, the results, published in Diabetologia, also indicated that people who undertook at least MVPA were protected against developing type 2 diabetes no matter what time of day they exercised.
Along with considering the timing of exercise, the authors suggest that it is “helpful to include some higher intensity activity to help reduce the risk of developing diabetes and other cardiovascular disease.”
Morning exercisers perform less physical activity
Dr. Ma and colleagues noted that “although a beneficial association among the levels of physical activity with obesity has been frequently reported, the optimal timing of physical activity for decreasing obesity remains controversial.”
The researchers analyzed data from the National Health and Nutrition Examination Survey for the 2003-2004 and 2005-2006 cycles, because accelerometry was implemented in those periods.
They included 5,285 individuals aged ≥ 20 years who had physical activity measured via an accelerometer worn on the right hip during waking hours for 7 consecutive days.
The diurnal pattern of MVPA was classified into three clusters by the established technique of K-means clustering analysis: morning (n = 642), midday (n = 2,456), and evening (n = 2,187).
The association between MVPA, diurnal pattern, and obesity was then assessed in linear regression models taking into account a range of potential confounding factors.
Overall, participants in the morning cluster were older and more likely to be female than those in the other clusters (P < .001 for both). They were also more likely to be nonsmokers (P = .007) and to have less than high school education (P = .0041).
Morning cluster individuals performed less physical activity and were more sedentary than those in the midday and evening groups (P < .001 for both), although they were more likely to be healthy eaters (P = .004), with a lower calorie intake (P < .001).
Individuals in the morning cluster had, on average, a lower body mass index than those in other clusters, at 27.4 vs. 28.4 in the midday cluster and 28.2 in the evening cluster (P for interaction = .02).
Morning cluster participants also had a lower waist circumference than participants in the midday or evening cluster: 95.9 cm, 97.9 cm, and 97.3 cm, respectively (P for interaction = .06).
The team reported that there was a strong linear association between MVPA and obesity in the morning cluster, whereas there was a weaker curvilinear association in the midday and evening clusters.
“This is exciting new research that is consistent with a common tip for meeting exercise goals – that is, schedule exercise in the morning before emails, phone calls, or meetings that might distract you,” Rebecca Krukowski, PhD, professor, public health sciences, University of Virginia, Charlottesville, said in a release.
However, she noted that the cross-sectional nature of the study means that it is “not known whether people who exercise consistently in the morning may be systematically different from those who exercise at other times, in ways that were not measured in this study.
“For example, people who exercise regularly in the morning could have more predictable schedules, such as being less likely to be shift workers or less likely to have caregiving responsibilities that impede morning exercise,” said Dr. Krukowski, who was not involved in the study.
No association between evening activity and type 2 diabetes risk
In the second study, the team studied 93,095 persons in the UK Biobank, with a mean age of 62 years and no history of type 2 diabetes, who wore a wrist accelerometer for 1 week.
The movement data were used to estimate the metabolic equivalent of task, which was then summed into the total physical activity completed in the morning, afternoon, and evening and linked to the development of incident type 2 diabetes.
After adjustment for potential confounding factors, both morning and afternoon physical activity were associated with a reduced risk of developing type 2 diabetes, at hazard ratios of 0.90 (P = 7 × 10-8) and 0.91 (P = 1 × 10-5), respectively.
However, there was no association between evening activity and the risk for type 2 diabetes, at a hazard ratio of 0.95 (P = .07).
The team found, however, that MVPA and vigorous physical activity were associated with a reduced risk for type 2 diabetes at all times of day.
Dr. Patel’s study was supported in part by National Institutes of Health grants. No other funding was declared. No relevant financial relationships were declared.
A version of this article appeared on Medscape.com.