Richard Mark Kirkner

The more components of metabolic syndrome a person has in midlife seems to raise their risk of dementia, although that relationship seems to go away after age 70, a post hoc analysis of data from a major European cohort study has found.

A team of European researchers reported online in the journal Diabetes Care that the follow-up of the Whitehall II cohort study, a study of more than 10,000 civil servants in London that was established in the late 1980s, also found that cardiovascular disease (CVD) may only partially contribute to the risk of dementia in study participants.

They found that each additional metabolic syndrome component before age 60 years was linked to a 13% rise in the risk of dementia (hazard ratio, 1.13; 95% confidence interval [CI], 1.05-1.23) and, from age 60 to 70, the risk rose 8% (HR, 1.08; 95% CI, 1.00-1.16). However, in people aged 70 years and older, the relationship wasn’t statistically significant (HR, 1.04; 95% CI, 0.96-1.13]).

The study used “the latest harmonized definition” of metabolic syndrome; that is, participants were classified as having metabolic syndrome if they had three or more of the five components. As lead author Marcos D. Machado-Fragua, PhD, noted in an email interview, those components are abdominal obesity, high triglycerides, low HDL cholesterol levels, high blood pressure, and high fasting glucose.

“Our research question was on the association between metabolic syndrome and late-life dementia. We found that the presence of one metabolic syndrome component and the presence of metabolic risk before age 60, but not after, is associated with higher risk of dementia,” said Dr. Machado-Fragua, a post-doctoral researcher at the French Institute for Health and Medical Research in Paris.

The study cohort consisted of 10,308 London-based civil servants aged 35-55 years. Every 4-5 years after enrollment, from 1991 through 2016, they completed a questionnaire and had a clinical examination. The U.K. National Health Service electronic health record system tracked outcomes for all but 10 participants through March 2019.

The study identified the individual metabolic syndrome components that posed the highest risk for dementia in these three age groups:

• Age < 60 years: elevated waist circumference (HR 1.39 [95% CI 1.07, 1.81]), low HDL-C, (HR 1.30 [95% CI 1.02, 1.66]), and elevated blood pressure (HR 1.34 [95% CI 1.09, 1.63]).
• Age 60-70 years: low HDL-C (HR 1.26 [95% CI 1.02, 1.57]) and elevated fasting glucose (HR 1.40 [95% CI 1.12, 1.74]).
• Age >70 years: elevated fasting glucose (HR 1.38 [95% CI 1.07, 1.79]).

The study found that the dementia risk was significantly high in study participants under age 60 who had at least one (HR 1.99 [95% CI 1.08, 3.66]) or two (HR 1.69 [95% CI 1.12, 2.56]) metabolic syndrome components even when they didn’t have CVD.

“The present study adds to the understanding of the association between metabolic syndrome and dementia due to three novel features,” Dr. Machado-Fragua said. “First, we tested alternative thresholds to define ‘high metabolic risk,’ and findings show increased risk of dementia to start with the presence of one metabolic syndrome component. Second, assessment of metabolic syndrome components in midlife and later life allowed the examination of the role of age at prevalence of metabolic risk for incident dementia at older ages. Third, our findings showed high dementia risk in those free of cardiovascular disease during follow-up, suggesting that the association between high metabolic risk and incident dementia is not fully explained by cardiovascular disease.”

Dr. Machado-Fragua added, “For now, a cure for dementia remains elusive, making it important to think of prevention strategies. Our findings support targeting the components of the metabolic syndrome in midlife, even in those who have fewer than three of the metabolic syndrome components.”

Applicability ‘confusing’

In an interview, Yehuda Handelsman, MD, questioned the applicability of the study findings in the clinic. “Metabolic syndrome is a clinical manifestation of insulin resistance,” he said. “The more metabolic syndrome criteria a person has, the more insulin resistant that person will be. There is literature that is [suggesting] that insulin resistance is an important cause of dementia.”

The finding of a higher dementia risk before age 70, compared to afterward, makes the applicability “even more confusing,” he said. The results are even more muddled for U.S. physicians, who have moved away from the term metabolic syndrome in favor of cardiometabolic syndrome, said Dr. Handelsman, medical director and principal investigator at the Metabolic Institute of America and president of the Diabetes CardioRenal & Metabolism Institute, both in Tarzana, Calif.

Confusion also surrounds one of the components of metabolic syndrome: Waist circumference, per the harmonized definition the study used, and body mass index, which the more traditional definition uses.

Nonetheless, metabolic syndrome can be used as “kind of a risk calculator” for CVD, diabetes, and dementia, he said. One strength of the study, Dr. Handelsman said, is its size and scope, following 28 years of data. But a weakness was its observational design. “It doesn’t evaluate any true intervention to modify risk,” he said.

Dr. Machado-Fragua and coauthors have no disclosures.

The more components of metabolic syndrome a person has in midlife seems to raise their risk of dementia, although that relationship seems to go away after age 70, a post hoc analysis of data from a major European cohort study has found.

A team of European researchers reported online in the journal Diabetes Care that the follow-up of the Whitehall II cohort study, a study of more than 10,000 civil servants in London that was established in the late 1980s, also found that cardiovascular disease (CVD) may only partially contribute to the risk of dementia in study participants.

They found that each additional metabolic syndrome component before age 60 years was linked to a 13% rise in the risk of dementia (hazard ratio, 1.13; 95% confidence interval [CI], 1.05-1.23) and, from age 60 to 70, the risk rose 8% (HR, 1.08; 95% CI, 1.00-1.16). However, in people aged 70 years and older, the relationship wasn’t statistically significant (HR, 1.04; 95% CI, 0.96-1.13]).

The study used “the latest harmonized definition” of metabolic syndrome; that is, participants were classified as having metabolic syndrome if they had three or more of the five components. As lead author Marcos D. Machado-Fragua, PhD, noted in an email interview, those components are abdominal obesity, high triglycerides, low HDL cholesterol levels, high blood pressure, and high fasting glucose.

“Our research question was on the association between metabolic syndrome and late-life dementia. We found that the presence of one metabolic syndrome component and the presence of metabolic risk before age 60, but not after, is associated with higher risk of dementia,” said Dr. Machado-Fragua, a post-doctoral researcher at the French Institute for Health and Medical Research in Paris.

The study cohort consisted of 10,308 London-based civil servants aged 35-55 years. Every 4-5 years after enrollment, from 1991 through 2016, they completed a questionnaire and had a clinical examination. The U.K. National Health Service electronic health record system tracked outcomes for all but 10 participants through March 2019.

The study identified the individual metabolic syndrome components that posed the highest risk for dementia in these three age groups:

• Age < 60 years: elevated waist circumference (HR 1.39 [95% CI 1.07, 1.81]), low HDL-C, (HR 1.30 [95% CI 1.02, 1.66]), and elevated blood pressure (HR 1.34 [95% CI 1.09, 1.63]).
• Age 60-70 years: low HDL-C (HR 1.26 [95% CI 1.02, 1.57]) and elevated fasting glucose (HR 1.40 [95% CI 1.12, 1.74]).
• Age >70 years: elevated fasting glucose (HR 1.38 [95% CI 1.07, 1.79]).

The study found that the dementia risk was significantly high in study participants under age 60 who had at least one (HR 1.99 [95% CI 1.08, 3.66]) or two (HR 1.69 [95% CI 1.12, 2.56]) metabolic syndrome components even when they didn’t have CVD.

“The present study adds to the understanding of the association between metabolic syndrome and dementia due to three novel features,” Dr. Machado-Fragua said. “First, we tested alternative thresholds to define ‘high metabolic risk,’ and findings show increased risk of dementia to start with the presence of one metabolic syndrome component. Second, assessment of metabolic syndrome components in midlife and later life allowed the examination of the role of age at prevalence of metabolic risk for incident dementia at older ages. Third, our findings showed high dementia risk in those free of cardiovascular disease during follow-up, suggesting that the association between high metabolic risk and incident dementia is not fully explained by cardiovascular disease.”

Dr. Machado-Fragua added, “For now, a cure for dementia remains elusive, making it important to think of prevention strategies. Our findings support targeting the components of the metabolic syndrome in midlife, even in those who have fewer than three of the metabolic syndrome components.”

Applicability ‘confusing’

In an interview, Yehuda Handelsman, MD, questioned the applicability of the study findings in the clinic. “Metabolic syndrome is a clinical manifestation of insulin resistance,” he said. “The more metabolic syndrome criteria a person has, the more insulin resistant that person will be. There is literature that is [suggesting] that insulin resistance is an important cause of dementia.”

The finding of a higher dementia risk before age 70, compared to afterward, makes the applicability “even more confusing,” he said. The results are even more muddled for U.S. physicians, who have moved away from the term metabolic syndrome in favor of cardiometabolic syndrome, said Dr. Handelsman, medical director and principal investigator at the Metabolic Institute of America and president of the Diabetes CardioRenal & Metabolism Institute, both in Tarzana, Calif.

Confusion also surrounds one of the components of metabolic syndrome: Waist circumference, per the harmonized definition the study used, and body mass index, which the more traditional definition uses.

Nonetheless, metabolic syndrome can be used as “kind of a risk calculator” for CVD, diabetes, and dementia, he said. One strength of the study, Dr. Handelsman said, is its size and scope, following 28 years of data. But a weakness was its observational design. “It doesn’t evaluate any true intervention to modify risk,” he said.

Dr. Machado-Fragua and coauthors have no disclosures.

The more components of metabolic syndrome a person has in midlife seems to raise their risk of dementia, although that relationship seems to go away after age 70, a post hoc analysis of data from a major European cohort study has found.

A team of European researchers reported online in the journal Diabetes Care that the follow-up of the Whitehall II cohort study, a study of more than 10,000 civil servants in London that was established in the late 1980s, also found that cardiovascular disease (CVD) may only partially contribute to the risk of dementia in study participants.

They found that each additional metabolic syndrome component before age 60 years was linked to a 13% rise in the risk of dementia (hazard ratio, 1.13; 95% confidence interval [CI], 1.05-1.23) and, from age 60 to 70, the risk rose 8% (HR, 1.08; 95% CI, 1.00-1.16). However, in people aged 70 years and older, the relationship wasn’t statistically significant (HR, 1.04; 95% CI, 0.96-1.13]).

The study used “the latest harmonized definition” of metabolic syndrome; that is, participants were classified as having metabolic syndrome if they had three or more of the five components. As lead author Marcos D. Machado-Fragua, PhD, noted in an email interview, those components are abdominal obesity, high triglycerides, low HDL cholesterol levels, high blood pressure, and high fasting glucose.

“Our research question was on the association between metabolic syndrome and late-life dementia. We found that the presence of one metabolic syndrome component and the presence of metabolic risk before age 60, but not after, is associated with higher risk of dementia,” said Dr. Machado-Fragua, a post-doctoral researcher at the French Institute for Health and Medical Research in Paris.

The study cohort consisted of 10,308 London-based civil servants aged 35-55 years. Every 4-5 years after enrollment, from 1991 through 2016, they completed a questionnaire and had a clinical examination. The U.K. National Health Service electronic health record system tracked outcomes for all but 10 participants through March 2019.

The study identified the individual metabolic syndrome components that posed the highest risk for dementia in these three age groups:

• Age < 60 years: elevated waist circumference (HR 1.39 [95% CI 1.07, 1.81]), low HDL-C, (HR 1.30 [95% CI 1.02, 1.66]), and elevated blood pressure (HR 1.34 [95% CI 1.09, 1.63]).
• Age 60-70 years: low HDL-C (HR 1.26 [95% CI 1.02, 1.57]) and elevated fasting glucose (HR 1.40 [95% CI 1.12, 1.74]).
• Age >70 years: elevated fasting glucose (HR 1.38 [95% CI 1.07, 1.79]).

The study found that the dementia risk was significantly high in study participants under age 60 who had at least one (HR 1.99 [95% CI 1.08, 3.66]) or two (HR 1.69 [95% CI 1.12, 2.56]) metabolic syndrome components even when they didn’t have CVD.

“The present study adds to the understanding of the association between metabolic syndrome and dementia due to three novel features,” Dr. Machado-Fragua said. “First, we tested alternative thresholds to define ‘high metabolic risk,’ and findings show increased risk of dementia to start with the presence of one metabolic syndrome component. Second, assessment of metabolic syndrome components in midlife and later life allowed the examination of the role of age at prevalence of metabolic risk for incident dementia at older ages. Third, our findings showed high dementia risk in those free of cardiovascular disease during follow-up, suggesting that the association between high metabolic risk and incident dementia is not fully explained by cardiovascular disease.”

Dr. Machado-Fragua added, “For now, a cure for dementia remains elusive, making it important to think of prevention strategies. Our findings support targeting the components of the metabolic syndrome in midlife, even in those who have fewer than three of the metabolic syndrome components.”

Applicability ‘confusing’

In an interview, Yehuda Handelsman, MD, questioned the applicability of the study findings in the clinic. “Metabolic syndrome is a clinical manifestation of insulin resistance,” he said. “The more metabolic syndrome criteria a person has, the more insulin resistant that person will be. There is literature that is [suggesting] that insulin resistance is an important cause of dementia.”

The finding of a higher dementia risk before age 70, compared to afterward, makes the applicability “even more confusing,” he said. The results are even more muddled for U.S. physicians, who have moved away from the term metabolic syndrome in favor of cardiometabolic syndrome, said Dr. Handelsman, medical director and principal investigator at the Metabolic Institute of America and president of the Diabetes CardioRenal & Metabolism Institute, both in Tarzana, Calif.

Confusion also surrounds one of the components of metabolic syndrome: Waist circumference, per the harmonized definition the study used, and body mass index, which the more traditional definition uses.

Nonetheless, metabolic syndrome can be used as “kind of a risk calculator” for CVD, diabetes, and dementia, he said. One strength of the study, Dr. Handelsman said, is its size and scope, following 28 years of data. But a weakness was its observational design. “It doesn’t evaluate any true intervention to modify risk,” he said.

Dr. Machado-Fragua and coauthors have no disclosures.

Women who’ve had endometriosis carry an elevated risk of stroke with them for the rest of their lives, with the greatest risk found in women who’ve had a hysterectomy with an oophorectomy, according to a cohort study of the Nurses’ Health Study.

“This is yet additional evidence that those girls and women with endometriosis are having effects across their lives and in multiple aspects of their health and well-being,” senior study author Stacey A. Missmer, ScD, of the Michigan State University, East Lansing, said in an interview. “This is not, in quotes ‘just a gynecologic condition,’ ” Dr. Missmer added. “It is not strictly about the pelvic pain or infertility, but it really is about the whole health across the life course.”

The study included 112,056 women in the NHSII cohort study who were followed from 1989 to June 2017, documenting 893 incident cases of stroke among them – an incidence of less than 1%. Endometriosis was reported in 5,244 women, and 93% of the cohort were White.

Multivariate adjusted models showed that women who had laparoscopically confirmed endometriosis had a 34% greater risk of stroke than women without a history of endometriosis. Leslie V. Farland, ScD, of the University of Arizona, Tucson, was lead author of the study.

While previous studies have demonstrated an increased risk of cardiovascular disease, heart attack, angina, and atherosclerosis in women who’ve had endometriosis, this is the first study that has confirmed an additional increased risk of stroke, Dr. Missmer said.

Another novel finding, Dr. Missmer said, is that while the CVD risks for these women “seem to peak at an earlier age,” the study found no age differences for stroke risk. “That also reinforces that these stroke events are often happening in an age range typical for stroke, which is further removed from when women are thinking about their gynecologic health specifically.”

These findings don’t translate into a significantly greater risk for stroke overall in women who’ve had endometriosis, Dr. Missmer said. She characterized the risk as “not negligible, but it’s not a huge increased risk.” The absolute risk is still fairly low, she said.

“We don’t want to give the impression that all women with endometriosis need to be panicked or fearful about stroke, she said. “Rather, the messaging is that this yet another bit of evidence that whole health care for those with endometriosis is important.”

Women who’ve had endometriosis and their primary care providers need to be attuned to stroke risk, she said. “This is a critical condition that primary care physicians need to engage around, and perhaps if symptoms related to cardiovascular and cerebrovascular disease emerge in their patients, they need to be engaging cardiology and similar types of support. This is not just about the gynecologists.”

The study also explored other factors that may contribute to stroke risk, with the most significant being hysterectomy with bilateral oophorectomy, Dr. Missmer said.

This study was unique because it used laparoscopically confirmed rather than self-reported endometriosis, said Louise D. McCullough, MD, neurology chair at the University of Texas Health Science Center, Houston. Another strength of the study she noted was its longitudinal design, although the cohort study design yielded a low number of stroke patients.

“Regardless, I do think it was a very important study because we have a growing recognition about how women’s health and factors such as pregnancy, infertility, parity, complications, and gonadal hormones such as estrogen can influence a woman’s stroke risk much later in life,” Dr. McCullough said in an interview.

Future studies into the relationship between endometriosis and CVD and stroke risk should focus on the mechanism behind the inflammation that occurs in endometriosis, Dr. McCullough said. “Part of it is probably the loss of hormones if a patient has to have an oophorectomy, but part of it is just what do these diseases do for a woman’s later risk – and for primary care physicians, ob.gyns., and stroke neurologists to recognize that these are questions we should ask: Have you ever  had eclampsia or preeclampsia? Did you have endometriosis? Have you had miscarriages?”

The study received funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Institute for Neurological Disorders and Stroke. Dr. Missmer disclosed relationships with Shanghai Huilun Biotechnology, Roche, and AbbVie. Dr. McCullough has no relevant disclosures.


 

Women who’ve had endometriosis carry an elevated risk of stroke with them for the rest of their lives, with the greatest risk found in women who’ve had a hysterectomy with an oophorectomy, according to a cohort study of the Nurses’ Health Study.

“This is yet additional evidence that those girls and women with endometriosis are having effects across their lives and in multiple aspects of their health and well-being,” senior study author Stacey A. Missmer, ScD, of the Michigan State University, East Lansing, said in an interview. “This is not, in quotes ‘just a gynecologic condition,’ ” Dr. Missmer added. “It is not strictly about the pelvic pain or infertility, but it really is about the whole health across the life course.”

The study included 112,056 women in the NHSII cohort study who were followed from 1989 to June 2017, documenting 893 incident cases of stroke among them – an incidence of less than 1%. Endometriosis was reported in 5,244 women, and 93% of the cohort were White.

Multivariate adjusted models showed that women who had laparoscopically confirmed endometriosis had a 34% greater risk of stroke than women without a history of endometriosis. Leslie V. Farland, ScD, of the University of Arizona, Tucson, was lead author of the study.

While previous studies have demonstrated an increased risk of cardiovascular disease, heart attack, angina, and atherosclerosis in women who’ve had endometriosis, this is the first study that has confirmed an additional increased risk of stroke, Dr. Missmer said.

Another novel finding, Dr. Missmer said, is that while the CVD risks for these women “seem to peak at an earlier age,” the study found no age differences for stroke risk. “That also reinforces that these stroke events are often happening in an age range typical for stroke, which is further removed from when women are thinking about their gynecologic health specifically.”

These findings don’t translate into a significantly greater risk for stroke overall in women who’ve had endometriosis, Dr. Missmer said. She characterized the risk as “not negligible, but it’s not a huge increased risk.” The absolute risk is still fairly low, she said.

“We don’t want to give the impression that all women with endometriosis need to be panicked or fearful about stroke, she said. “Rather, the messaging is that this yet another bit of evidence that whole health care for those with endometriosis is important.”

Women who’ve had endometriosis and their primary care providers need to be attuned to stroke risk, she said. “This is a critical condition that primary care physicians need to engage around, and perhaps if symptoms related to cardiovascular and cerebrovascular disease emerge in their patients, they need to be engaging cardiology and similar types of support. This is not just about the gynecologists.”

The study also explored other factors that may contribute to stroke risk, with the most significant being hysterectomy with bilateral oophorectomy, Dr. Missmer said.

This study was unique because it used laparoscopically confirmed rather than self-reported endometriosis, said Louise D. McCullough, MD, neurology chair at the University of Texas Health Science Center, Houston. Another strength of the study she noted was its longitudinal design, although the cohort study design yielded a low number of stroke patients.

“Regardless, I do think it was a very important study because we have a growing recognition about how women’s health and factors such as pregnancy, infertility, parity, complications, and gonadal hormones such as estrogen can influence a woman’s stroke risk much later in life,” Dr. McCullough said in an interview.

Future studies into the relationship between endometriosis and CVD and stroke risk should focus on the mechanism behind the inflammation that occurs in endometriosis, Dr. McCullough said. “Part of it is probably the loss of hormones if a patient has to have an oophorectomy, but part of it is just what do these diseases do for a woman’s later risk – and for primary care physicians, ob.gyns., and stroke neurologists to recognize that these are questions we should ask: Have you ever  had eclampsia or preeclampsia? Did you have endometriosis? Have you had miscarriages?”

The study received funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Institute for Neurological Disorders and Stroke. Dr. Missmer disclosed relationships with Shanghai Huilun Biotechnology, Roche, and AbbVie. Dr. McCullough has no relevant disclosures.


 

Women who’ve had endometriosis carry an elevated risk of stroke with them for the rest of their lives, with the greatest risk found in women who’ve had a hysterectomy with an oophorectomy, according to a cohort study of the Nurses’ Health Study.

“This is yet additional evidence that those girls and women with endometriosis are having effects across their lives and in multiple aspects of their health and well-being,” senior study author Stacey A. Missmer, ScD, of the Michigan State University, East Lansing, said in an interview. “This is not, in quotes ‘just a gynecologic condition,’ ” Dr. Missmer added. “It is not strictly about the pelvic pain or infertility, but it really is about the whole health across the life course.”

The study included 112,056 women in the NHSII cohort study who were followed from 1989 to June 2017, documenting 893 incident cases of stroke among them – an incidence of less than 1%. Endometriosis was reported in 5,244 women, and 93% of the cohort were White.

Multivariate adjusted models showed that women who had laparoscopically confirmed endometriosis had a 34% greater risk of stroke than women without a history of endometriosis. Leslie V. Farland, ScD, of the University of Arizona, Tucson, was lead author of the study.

While previous studies have demonstrated an increased risk of cardiovascular disease, heart attack, angina, and atherosclerosis in women who’ve had endometriosis, this is the first study that has confirmed an additional increased risk of stroke, Dr. Missmer said.

Another novel finding, Dr. Missmer said, is that while the CVD risks for these women “seem to peak at an earlier age,” the study found no age differences for stroke risk. “That also reinforces that these stroke events are often happening in an age range typical for stroke, which is further removed from when women are thinking about their gynecologic health specifically.”

These findings don’t translate into a significantly greater risk for stroke overall in women who’ve had endometriosis, Dr. Missmer said. She characterized the risk as “not negligible, but it’s not a huge increased risk.” The absolute risk is still fairly low, she said.

“We don’t want to give the impression that all women with endometriosis need to be panicked or fearful about stroke, she said. “Rather, the messaging is that this yet another bit of evidence that whole health care for those with endometriosis is important.”

Women who’ve had endometriosis and their primary care providers need to be attuned to stroke risk, she said. “This is a critical condition that primary care physicians need to engage around, and perhaps if symptoms related to cardiovascular and cerebrovascular disease emerge in their patients, they need to be engaging cardiology and similar types of support. This is not just about the gynecologists.”

The study also explored other factors that may contribute to stroke risk, with the most significant being hysterectomy with bilateral oophorectomy, Dr. Missmer said.

This study was unique because it used laparoscopically confirmed rather than self-reported endometriosis, said Louise D. McCullough, MD, neurology chair at the University of Texas Health Science Center, Houston. Another strength of the study she noted was its longitudinal design, although the cohort study design yielded a low number of stroke patients.

“Regardless, I do think it was a very important study because we have a growing recognition about how women’s health and factors such as pregnancy, infertility, parity, complications, and gonadal hormones such as estrogen can influence a woman’s stroke risk much later in life,” Dr. McCullough said in an interview.

Future studies into the relationship between endometriosis and CVD and stroke risk should focus on the mechanism behind the inflammation that occurs in endometriosis, Dr. McCullough said. “Part of it is probably the loss of hormones if a patient has to have an oophorectomy, but part of it is just what do these diseases do for a woman’s later risk – and for primary care physicians, ob.gyns., and stroke neurologists to recognize that these are questions we should ask: Have you ever  had eclampsia or preeclampsia? Did you have endometriosis? Have you had miscarriages?”

The study received funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Institute for Neurological Disorders and Stroke. Dr. Missmer disclosed relationships with Shanghai Huilun Biotechnology, Roche, and AbbVie. Dr. McCullough has no relevant disclosures.


 

CHARLOTTE, N.C. – Poor objective sleep efficiency may contribute to older adults overestimating their cognitive abilities, preliminary findings from a pilot study of objective and subjective cognitive measures have shown.

The pilot study underscored the important role of objective sleep measures to better understand discrepancies when patients’ own reports of everyday cognitive function don’t align with objective cognitive profiles, Amy Costa, MA, a graduate student in psychology at the University of Missouri-Columbia, said in reporting the results at the annual meeting of the Associated Professional Sleep Societies.

“Between our previously published paper and these new pilot results, we’re reporting evidence that suggests sleep is playing a role between the objective and subjective cognition relationship,” Ms. Costa said in an interview. “It is possible that these older adults who are sleeping poorly may be worse at understanding how well they’re doing cognitively. That’s really important for doctors. For example, if we can’t diagnose someone with mild cognitive impairment or Alzheimer’s disease or other types of dementia earlier, then we can’t intervene as quickly.”
 

Sleep efficiency, cognition, and patient complaints

These findings are in agreement with those Ms. Costa and colleagues recently published in the Journal of Clinical Sleep Medicine, she said.

The current pilot study included 35 older adults with an average age of 69 years who had insomnia complaints. They completed one night of home-based polysomnography – specifically with the Sleep Profiler PSG2TM – and a battery of cognitive tests. Their average sleep deficiency was 57%, “indicating potentially pretty severe insomnia,” Ms. Costa said.

“We found that sleep efficiency – that is the percentage of time spent sleeping while in bed – moderated the association between self reports and objective measures of cognitive distractibility,” Ms. Costa said in reporting the results. “In other words, our findings suggest that individuals with lower sleep efficiency who are performing the worst cognitively have the least amount of complaints. Basically, this can be thought of as that they are overestimating their cognitive performance.”
 

Sleep stage versus working memory and distractibility

The pilot study also focused on how the percentage of lighter-stage sleep, or N1 sleep, moderated the associations between working memory, as measured by Sternberg performance, and memory, distractibility, and blunders measured with the Cognitive Failures Questionnaire.

At the highest percentage of N1 sleep, worse working memory was associated with fewer complaints about memory, distractibility, and blunders, Ms. Costa said.

“The percentage of lighter-stage N1 sleep and sleep efficiency moderated the association between cognitive flexibility and distractibility,” Ms. Costa said.  At the lowest percentage of N1 sleep, worse cognitive flexibility was associated with more distractibility, while at the highest percentage of N1 sleep worse cognitive flexibility showed a reverse effect; it was linked to less distractibility. The lowest percentage of sleep efficiency showed an association between worse cognitive flexibility and less distractibility, but the highest percentage of SE showed an association between worse cognitive flexibility and more distractibility.

“So in terms of evaluating their cognitive performance, the worse working memory was associated with more blunder complaints in individuals with the lowest percentage of N1,” she said. “So whenever individuals were spending less time in N1, they were able to better recognized their cognitive ability.”

She added, “Overall, more light and more fragmented sleep moderated the association between worse objective and less cognitive complaints, suggesting that these individuals might be overestimating their cognitive abilities.”

The findings indicate that evaluation of objective sleep should consider objectively measured N1 and sleep efficiency to better understand when subjective cognitive complaints and neurophysiological/objective cognitive profiles don’t align, she said.
 

Important indicators of cognitive deficits

“Specifically, for an older adult who comes into the clinic with complaints of waking up during the night, low sleep efficiency and more lighter-stage sleep might be really important indicators that they are probably not going to be the best at identifying their cognitive abilities or deficits,” she said.

Future directions for this research include collecting more data and looking at other sleep measures, such as using rapid-eye movement sleep, as potential moderators for the relationship between cognitive outcomes, evaluating sleep architecture more closely, and evaluating outcomes in a longitudinal study, Ms. Costa said.
 

The importance of objectively measured sleep

“Studies like this one using objectively measured sleep are important because much of the prior literature relied on self-reported sleep measures,” said Brendan P. Lucey, MD, associate professor of neurology and head of the sleep medicine section at Washington University School of Medicine in St. Louis. “This study suggests how objectively measured sleep may mediate discrepancies in objective/subjective cognitive dysfunction. Future studies need to work out if we need to add objective sleep measures when evaluating cognitive complaints in older adults.”

Dr. Lucey, who was not involved in the study, voiced one concern with the pilot study methodology the future research should address: the use of the Sleep Profiler PSG2TM to measure N1 sleep, which, as he noted, records a single-channel electroencephalogram over the forehead. “Scoring N1 sleep relies on attenuation of the alpha rhythm over the occipital region and the Sleep Profiler is not as accurate as in-lab polysomnography for this sleep stage,” he said.

The pilot study received funding from the American Academy of Sleep Medicine Foundation. Ms. Costa and her coauthors have no disclosures. Dr. Lucey disclosed relationships with Merck, Eli Lilly, Eisai, and Beacon Biosignals.

CHARLOTTE, N.C. – Poor objective sleep efficiency may contribute to older adults overestimating their cognitive abilities, preliminary findings from a pilot study of objective and subjective cognitive measures have shown.

The pilot study underscored the important role of objective sleep measures to better understand discrepancies when patients’ own reports of everyday cognitive function don’t align with objective cognitive profiles, Amy Costa, MA, a graduate student in psychology at the University of Missouri-Columbia, said in reporting the results at the annual meeting of the Associated Professional Sleep Societies.

“Between our previously published paper and these new pilot results, we’re reporting evidence that suggests sleep is playing a role between the objective and subjective cognition relationship,” Ms. Costa said in an interview. “It is possible that these older adults who are sleeping poorly may be worse at understanding how well they’re doing cognitively. That’s really important for doctors. For example, if we can’t diagnose someone with mild cognitive impairment or Alzheimer’s disease or other types of dementia earlier, then we can’t intervene as quickly.”
 

Sleep efficiency, cognition, and patient complaints

These findings are in agreement with those Ms. Costa and colleagues recently published in the Journal of Clinical Sleep Medicine, she said.

The current pilot study included 35 older adults with an average age of 69 years who had insomnia complaints. They completed one night of home-based polysomnography – specifically with the Sleep Profiler PSG2TM – and a battery of cognitive tests. Their average sleep deficiency was 57%, “indicating potentially pretty severe insomnia,” Ms. Costa said.

“We found that sleep efficiency – that is the percentage of time spent sleeping while in bed – moderated the association between self reports and objective measures of cognitive distractibility,” Ms. Costa said in reporting the results. “In other words, our findings suggest that individuals with lower sleep efficiency who are performing the worst cognitively have the least amount of complaints. Basically, this can be thought of as that they are overestimating their cognitive performance.”
 

Sleep stage versus working memory and distractibility

The pilot study also focused on how the percentage of lighter-stage sleep, or N1 sleep, moderated the associations between working memory, as measured by Sternberg performance, and memory, distractibility, and blunders measured with the Cognitive Failures Questionnaire.

At the highest percentage of N1 sleep, worse working memory was associated with fewer complaints about memory, distractibility, and blunders, Ms. Costa said.

“The percentage of lighter-stage N1 sleep and sleep efficiency moderated the association between cognitive flexibility and distractibility,” Ms. Costa said.  At the lowest percentage of N1 sleep, worse cognitive flexibility was associated with more distractibility, while at the highest percentage of N1 sleep worse cognitive flexibility showed a reverse effect; it was linked to less distractibility. The lowest percentage of sleep efficiency showed an association between worse cognitive flexibility and less distractibility, but the highest percentage of SE showed an association between worse cognitive flexibility and more distractibility.

“So in terms of evaluating their cognitive performance, the worse working memory was associated with more blunder complaints in individuals with the lowest percentage of N1,” she said. “So whenever individuals were spending less time in N1, they were able to better recognized their cognitive ability.”

She added, “Overall, more light and more fragmented sleep moderated the association between worse objective and less cognitive complaints, suggesting that these individuals might be overestimating their cognitive abilities.”

The findings indicate that evaluation of objective sleep should consider objectively measured N1 and sleep efficiency to better understand when subjective cognitive complaints and neurophysiological/objective cognitive profiles don’t align, she said.
 

Important indicators of cognitive deficits

“Specifically, for an older adult who comes into the clinic with complaints of waking up during the night, low sleep efficiency and more lighter-stage sleep might be really important indicators that they are probably not going to be the best at identifying their cognitive abilities or deficits,” she said.

Future directions for this research include collecting more data and looking at other sleep measures, such as using rapid-eye movement sleep, as potential moderators for the relationship between cognitive outcomes, evaluating sleep architecture more closely, and evaluating outcomes in a longitudinal study, Ms. Costa said.
 

The importance of objectively measured sleep

“Studies like this one using objectively measured sleep are important because much of the prior literature relied on self-reported sleep measures,” said Brendan P. Lucey, MD, associate professor of neurology and head of the sleep medicine section at Washington University School of Medicine in St. Louis. “This study suggests how objectively measured sleep may mediate discrepancies in objective/subjective cognitive dysfunction. Future studies need to work out if we need to add objective sleep measures when evaluating cognitive complaints in older adults.”

Dr. Lucey, who was not involved in the study, voiced one concern with the pilot study methodology the future research should address: the use of the Sleep Profiler PSG2TM to measure N1 sleep, which, as he noted, records a single-channel electroencephalogram over the forehead. “Scoring N1 sleep relies on attenuation of the alpha rhythm over the occipital region and the Sleep Profiler is not as accurate as in-lab polysomnography for this sleep stage,” he said.

The pilot study received funding from the American Academy of Sleep Medicine Foundation. Ms. Costa and her coauthors have no disclosures. Dr. Lucey disclosed relationships with Merck, Eli Lilly, Eisai, and Beacon Biosignals.

CHARLOTTE, N.C. – Poor objective sleep efficiency may contribute to older adults overestimating their cognitive abilities, preliminary findings from a pilot study of objective and subjective cognitive measures have shown.

The pilot study underscored the important role of objective sleep measures to better understand discrepancies when patients’ own reports of everyday cognitive function don’t align with objective cognitive profiles, Amy Costa, MA, a graduate student in psychology at the University of Missouri-Columbia, said in reporting the results at the annual meeting of the Associated Professional Sleep Societies.

“Between our previously published paper and these new pilot results, we’re reporting evidence that suggests sleep is playing a role between the objective and subjective cognition relationship,” Ms. Costa said in an interview. “It is possible that these older adults who are sleeping poorly may be worse at understanding how well they’re doing cognitively. That’s really important for doctors. For example, if we can’t diagnose someone with mild cognitive impairment or Alzheimer’s disease or other types of dementia earlier, then we can’t intervene as quickly.”
 

Sleep efficiency, cognition, and patient complaints

These findings are in agreement with those Ms. Costa and colleagues recently published in the Journal of Clinical Sleep Medicine, she said.

The current pilot study included 35 older adults with an average age of 69 years who had insomnia complaints. They completed one night of home-based polysomnography – specifically with the Sleep Profiler PSG2TM – and a battery of cognitive tests. Their average sleep deficiency was 57%, “indicating potentially pretty severe insomnia,” Ms. Costa said.

“We found that sleep efficiency – that is the percentage of time spent sleeping while in bed – moderated the association between self reports and objective measures of cognitive distractibility,” Ms. Costa said in reporting the results. “In other words, our findings suggest that individuals with lower sleep efficiency who are performing the worst cognitively have the least amount of complaints. Basically, this can be thought of as that they are overestimating their cognitive performance.”
 

Sleep stage versus working memory and distractibility

The pilot study also focused on how the percentage of lighter-stage sleep, or N1 sleep, moderated the associations between working memory, as measured by Sternberg performance, and memory, distractibility, and blunders measured with the Cognitive Failures Questionnaire.

At the highest percentage of N1 sleep, worse working memory was associated with fewer complaints about memory, distractibility, and blunders, Ms. Costa said.

“The percentage of lighter-stage N1 sleep and sleep efficiency moderated the association between cognitive flexibility and distractibility,” Ms. Costa said.  At the lowest percentage of N1 sleep, worse cognitive flexibility was associated with more distractibility, while at the highest percentage of N1 sleep worse cognitive flexibility showed a reverse effect; it was linked to less distractibility. The lowest percentage of sleep efficiency showed an association between worse cognitive flexibility and less distractibility, but the highest percentage of SE showed an association between worse cognitive flexibility and more distractibility.

“So in terms of evaluating their cognitive performance, the worse working memory was associated with more blunder complaints in individuals with the lowest percentage of N1,” she said. “So whenever individuals were spending less time in N1, they were able to better recognized their cognitive ability.”

She added, “Overall, more light and more fragmented sleep moderated the association between worse objective and less cognitive complaints, suggesting that these individuals might be overestimating their cognitive abilities.”

The findings indicate that evaluation of objective sleep should consider objectively measured N1 and sleep efficiency to better understand when subjective cognitive complaints and neurophysiological/objective cognitive profiles don’t align, she said.
 

Important indicators of cognitive deficits

“Specifically, for an older adult who comes into the clinic with complaints of waking up during the night, low sleep efficiency and more lighter-stage sleep might be really important indicators that they are probably not going to be the best at identifying their cognitive abilities or deficits,” she said.

Future directions for this research include collecting more data and looking at other sleep measures, such as using rapid-eye movement sleep, as potential moderators for the relationship between cognitive outcomes, evaluating sleep architecture more closely, and evaluating outcomes in a longitudinal study, Ms. Costa said.
 

The importance of objectively measured sleep

“Studies like this one using objectively measured sleep are important because much of the prior literature relied on self-reported sleep measures,” said Brendan P. Lucey, MD, associate professor of neurology and head of the sleep medicine section at Washington University School of Medicine in St. Louis. “This study suggests how objectively measured sleep may mediate discrepancies in objective/subjective cognitive dysfunction. Future studies need to work out if we need to add objective sleep measures when evaluating cognitive complaints in older adults.”

Dr. Lucey, who was not involved in the study, voiced one concern with the pilot study methodology the future research should address: the use of the Sleep Profiler PSG2TM to measure N1 sleep, which, as he noted, records a single-channel electroencephalogram over the forehead. “Scoring N1 sleep relies on attenuation of the alpha rhythm over the occipital region and the Sleep Profiler is not as accurate as in-lab polysomnography for this sleep stage,” he said.

The pilot study received funding from the American Academy of Sleep Medicine Foundation. Ms. Costa and her coauthors have no disclosures. Dr. Lucey disclosed relationships with Merck, Eli Lilly, Eisai, and Beacon Biosignals.

CHARLOTTE, N.C. – What may be the largest case-based study of patients with migraine and sleep-disordered breathing to date has found that, counter to prevailing thought, they may not be at higher risk of having obstructive sleep apnea (OSA) than nonmigraine patients, although further prospective studies are needed to validate that finding.

“This in no way for me changes the fact that, for patients that complain of headaches, sleep apnea remains to be something that should be considered as possible cause of their headaches,” neurologist and Cleveland Clinic postdoctoral fellow Eric Gruenthal, MD, said in an interview after he presented his results at the annual meeting of the Associated Professional Sleep Societies.

The study suggested that patients with migraine may have an OSA risk that “may be a little lower” than their nonmigraine counterparts, Dr. Gruenthal said. “But we have really yet to determine whether that’s true or not.”
 

Large case-based study

The retrospective case study included 4,783 migraine cases from the Cleveland Clinic electronic health record database who were case matched on a 1:3 basis with 14,287 controls. Patients with migraine had an average age of 47.5 years (±13.3) and body mass index of 33.7 kg/m² (±8.6), and 76.4% were White. All patients had polysomnography (PSG) at a Cleveland Clinic facility from 1998 to 2021.

The analysis evaluated the collected data in two domains: sleep architecture, consisting of arousal index (AI), total sleep time (TST) and percentage of sleep stage time; and sleep-disordered breathing, including apnea hypopnea index (AHI) and mean oxygen saturation. The key findings of the migraine patients versus controls include:

• Lower AI, 19.6 (95% confidence interval, 12.8-30.9) versus 22.6 (95% CI, 14.7-34.9; P < .001).
• Shorter TST, 359 (95% CI, 307-421) versus 363 (95% CI, 306-432.5) minutes (P = .01).
• With regard to sleep stage, the percentage of N2 sleep was higher, 67.8% (95% CI, 59.6%-75.6%) versus 67% (95% CI, 58.4%-74.8%; P < .001); but the percentage of REM was lower at 16.7% (95% CI, 10%-22%) versus 17% (95% CI, 11.1%-22.2%; P = .012).
• Lower AHI, 7.4 (95% CI, 2.6-17) versus 9.5 (95% CI, 3.7-22.1, P < .001).
• Higher mean oxygen saturation, 93.7 (±2.4) versus 93.3% (±2.6; P < .001).

“Also,” Dr. Gruenthal added, “we found that the percentage of sleep time with oxygen saturation below 90% was lower among patients with migraine, at 1.3% versus 2.4%” (P < .001).
 

A unique profile?

The goal of the study was to determine whether migraine patients would have a unique PSG profile, Dr. Gruenthal said. “We were trying to overcome some of the limitations of previous studies, most notably those that use small sample sizes, and in some cases a lack of controls.”

The findings that migraine patients would have higher AI and elevated AHI ran counter to the study’s hypotheses, but fell in line with the expectation that they would have reduced TST, Dr. Gruenthal said.

Patients with migraine “may, in fact, exhibit a lower burden of sleep-disordered breathing, and that’s based on our findings such as the lower AHI and decreased burden of hypoxemia,” he said. “We theorized that this may be related to patients with migraine having a unique CGRP [calcitonin gene-related peptide] and serotonin physiology.” He noted that previously published research has shown that sleep CGRP and serotonin have a central role in causing arousal in response to rising CO₂ levels during sleep, which can occur during apneas and hypopneas.

Dr. Gruenthal noted that the researchers are still analyzing the findings. “We theorized that possible indication bias may be present in our study,” he said. “It may be the case that patients with migraine are more likely to get their PSG done because of their headache and not for things like snoring and witnessed apneas, which may be more predictive of significant sleep apnea.” They’re also evaluating the “question of medicine confounding.”

Dr. Gruenthal added that “the big unanswered question out there is, if you have a patient with migraine who also has sleep apnea, by treating the sleep apnea will that improve their migraine?”
 

More questions than answers

Commenting on the study, Donald Bliwise, PhD, professor of neurology at Emory Sleep Center, Atlanta, said the study findings shouldn’t change how clinicians approach migraine in relation to sleep.

“It’s a case series, it’s retrospective,” said Dr. Bliwise, who was not involved in the study. “It’s the largest study that I know of that has ever looked at the diagnosis of migraine in relation to polysomnographic measures of sleep, but it’s imprecise to the extent that migraine is a clinical diagnosis, so not everyone that carries the diagnosis of migraine has the diagnosis made by a neurologist.”

The study raises more questions than it answers, he said, “but that’s not necessarily a bad thing. I think we need more prospective studies.” Those studies should be more granular in how they analyze sleep in migraine patients “Since migraine is an intermittent event, and sleep quality and length, and percentage of REM sleep and even sleep apnea can vary from night to night, it would be fascinating to look at headaches over a month in relation to sleep over a month.”

Dr. Gruenthal and Dr. Bliwise have no disclosures. The Association of Migraine Disorders provided funding for the study.

CHARLOTTE, N.C. – What may be the largest case-based study of patients with migraine and sleep-disordered breathing to date has found that, counter to prevailing thought, they may not be at higher risk of having obstructive sleep apnea (OSA) than nonmigraine patients, although further prospective studies are needed to validate that finding.

“This in no way for me changes the fact that, for patients that complain of headaches, sleep apnea remains to be something that should be considered as possible cause of their headaches,” neurologist and Cleveland Clinic postdoctoral fellow Eric Gruenthal, MD, said in an interview after he presented his results at the annual meeting of the Associated Professional Sleep Societies.

The study suggested that patients with migraine may have an OSA risk that “may be a little lower” than their nonmigraine counterparts, Dr. Gruenthal said. “But we have really yet to determine whether that’s true or not.”
 

Large case-based study

The retrospective case study included 4,783 migraine cases from the Cleveland Clinic electronic health record database who were case matched on a 1:3 basis with 14,287 controls. Patients with migraine had an average age of 47.5 years (±13.3) and body mass index of 33.7 kg/m² (±8.6), and 76.4% were White. All patients had polysomnography (PSG) at a Cleveland Clinic facility from 1998 to 2021.

The analysis evaluated the collected data in two domains: sleep architecture, consisting of arousal index (AI), total sleep time (TST) and percentage of sleep stage time; and sleep-disordered breathing, including apnea hypopnea index (AHI) and mean oxygen saturation. The key findings of the migraine patients versus controls include:

• Lower AI, 19.6 (95% confidence interval, 12.8-30.9) versus 22.6 (95% CI, 14.7-34.9; P < .001).
• Shorter TST, 359 (95% CI, 307-421) versus 363 (95% CI, 306-432.5) minutes (P = .01).
• With regard to sleep stage, the percentage of N2 sleep was higher, 67.8% (95% CI, 59.6%-75.6%) versus 67% (95% CI, 58.4%-74.8%; P < .001); but the percentage of REM was lower at 16.7% (95% CI, 10%-22%) versus 17% (95% CI, 11.1%-22.2%; P = .012).
• Lower AHI, 7.4 (95% CI, 2.6-17) versus 9.5 (95% CI, 3.7-22.1, P < .001).
• Higher mean oxygen saturation, 93.7 (±2.4) versus 93.3% (±2.6; P < .001).

“Also,” Dr. Gruenthal added, “we found that the percentage of sleep time with oxygen saturation below 90% was lower among patients with migraine, at 1.3% versus 2.4%” (P < .001).
 

A unique profile?

The goal of the study was to determine whether migraine patients would have a unique PSG profile, Dr. Gruenthal said. “We were trying to overcome some of the limitations of previous studies, most notably those that use small sample sizes, and in some cases a lack of controls.”

The findings that migraine patients would have higher AI and elevated AHI ran counter to the study’s hypotheses, but fell in line with the expectation that they would have reduced TST, Dr. Gruenthal said.

Patients with migraine “may, in fact, exhibit a lower burden of sleep-disordered breathing, and that’s based on our findings such as the lower AHI and decreased burden of hypoxemia,” he said. “We theorized that this may be related to patients with migraine having a unique CGRP [calcitonin gene-related peptide] and serotonin physiology.” He noted that previously published research has shown that sleep CGRP and serotonin have a central role in causing arousal in response to rising CO₂ levels during sleep, which can occur during apneas and hypopneas.

Dr. Gruenthal noted that the researchers are still analyzing the findings. “We theorized that possible indication bias may be present in our study,” he said. “It may be the case that patients with migraine are more likely to get their PSG done because of their headache and not for things like snoring and witnessed apneas, which may be more predictive of significant sleep apnea.” They’re also evaluating the “question of medicine confounding.”

Dr. Gruenthal added that “the big unanswered question out there is, if you have a patient with migraine who also has sleep apnea, by treating the sleep apnea will that improve their migraine?”
 

More questions than answers

Commenting on the study, Donald Bliwise, PhD, professor of neurology at Emory Sleep Center, Atlanta, said the study findings shouldn’t change how clinicians approach migraine in relation to sleep.

“It’s a case series, it’s retrospective,” said Dr. Bliwise, who was not involved in the study. “It’s the largest study that I know of that has ever looked at the diagnosis of migraine in relation to polysomnographic measures of sleep, but it’s imprecise to the extent that migraine is a clinical diagnosis, so not everyone that carries the diagnosis of migraine has the diagnosis made by a neurologist.”

The study raises more questions than it answers, he said, “but that’s not necessarily a bad thing. I think we need more prospective studies.” Those studies should be more granular in how they analyze sleep in migraine patients “Since migraine is an intermittent event, and sleep quality and length, and percentage of REM sleep and even sleep apnea can vary from night to night, it would be fascinating to look at headaches over a month in relation to sleep over a month.”

Dr. Gruenthal and Dr. Bliwise have no disclosures. The Association of Migraine Disorders provided funding for the study.

CHARLOTTE, N.C. – What may be the largest case-based study of patients with migraine and sleep-disordered breathing to date has found that, counter to prevailing thought, they may not be at higher risk of having obstructive sleep apnea (OSA) than nonmigraine patients, although further prospective studies are needed to validate that finding.

“This in no way for me changes the fact that, for patients that complain of headaches, sleep apnea remains to be something that should be considered as possible cause of their headaches,” neurologist and Cleveland Clinic postdoctoral fellow Eric Gruenthal, MD, said in an interview after he presented his results at the annual meeting of the Associated Professional Sleep Societies.

The study suggested that patients with migraine may have an OSA risk that “may be a little lower” than their nonmigraine counterparts, Dr. Gruenthal said. “But we have really yet to determine whether that’s true or not.”
 

Large case-based study

The retrospective case study included 4,783 migraine cases from the Cleveland Clinic electronic health record database who were case matched on a 1:3 basis with 14,287 controls. Patients with migraine had an average age of 47.5 years (±13.3) and body mass index of 33.7 kg/m² (±8.6), and 76.4% were White. All patients had polysomnography (PSG) at a Cleveland Clinic facility from 1998 to 2021.

The analysis evaluated the collected data in two domains: sleep architecture, consisting of arousal index (AI), total sleep time (TST) and percentage of sleep stage time; and sleep-disordered breathing, including apnea hypopnea index (AHI) and mean oxygen saturation. The key findings of the migraine patients versus controls include:

• Lower AI, 19.6 (95% confidence interval, 12.8-30.9) versus 22.6 (95% CI, 14.7-34.9; P < .001).
• Shorter TST, 359 (95% CI, 307-421) versus 363 (95% CI, 306-432.5) minutes (P = .01).
• With regard to sleep stage, the percentage of N2 sleep was higher, 67.8% (95% CI, 59.6%-75.6%) versus 67% (95% CI, 58.4%-74.8%; P < .001); but the percentage of REM was lower at 16.7% (95% CI, 10%-22%) versus 17% (95% CI, 11.1%-22.2%; P = .012).
• Lower AHI, 7.4 (95% CI, 2.6-17) versus 9.5 (95% CI, 3.7-22.1, P < .001).
• Higher mean oxygen saturation, 93.7 (±2.4) versus 93.3% (±2.6; P < .001).

“Also,” Dr. Gruenthal added, “we found that the percentage of sleep time with oxygen saturation below 90% was lower among patients with migraine, at 1.3% versus 2.4%” (P < .001).
 

A unique profile?

The goal of the study was to determine whether migraine patients would have a unique PSG profile, Dr. Gruenthal said. “We were trying to overcome some of the limitations of previous studies, most notably those that use small sample sizes, and in some cases a lack of controls.”

The findings that migraine patients would have higher AI and elevated AHI ran counter to the study’s hypotheses, but fell in line with the expectation that they would have reduced TST, Dr. Gruenthal said.

Patients with migraine “may, in fact, exhibit a lower burden of sleep-disordered breathing, and that’s based on our findings such as the lower AHI and decreased burden of hypoxemia,” he said. “We theorized that this may be related to patients with migraine having a unique CGRP [calcitonin gene-related peptide] and serotonin physiology.” He noted that previously published research has shown that sleep CGRP and serotonin have a central role in causing arousal in response to rising CO₂ levels during sleep, which can occur during apneas and hypopneas.

Dr. Gruenthal noted that the researchers are still analyzing the findings. “We theorized that possible indication bias may be present in our study,” he said. “It may be the case that patients with migraine are more likely to get their PSG done because of their headache and not for things like snoring and witnessed apneas, which may be more predictive of significant sleep apnea.” They’re also evaluating the “question of medicine confounding.”

Dr. Gruenthal added that “the big unanswered question out there is, if you have a patient with migraine who also has sleep apnea, by treating the sleep apnea will that improve their migraine?”
 

More questions than answers

Commenting on the study, Donald Bliwise, PhD, professor of neurology at Emory Sleep Center, Atlanta, said the study findings shouldn’t change how clinicians approach migraine in relation to sleep.

“It’s a case series, it’s retrospective,” said Dr. Bliwise, who was not involved in the study. “It’s the largest study that I know of that has ever looked at the diagnosis of migraine in relation to polysomnographic measures of sleep, but it’s imprecise to the extent that migraine is a clinical diagnosis, so not everyone that carries the diagnosis of migraine has the diagnosis made by a neurologist.”

The study raises more questions than it answers, he said, “but that’s not necessarily a bad thing. I think we need more prospective studies.” Those studies should be more granular in how they analyze sleep in migraine patients “Since migraine is an intermittent event, and sleep quality and length, and percentage of REM sleep and even sleep apnea can vary from night to night, it would be fascinating to look at headaches over a month in relation to sleep over a month.”

Dr. Gruenthal and Dr. Bliwise have no disclosures. The Association of Migraine Disorders provided funding for the study.

CHARLOTTE, N.C. – Erratic sleep patterns over years or even decades, along with a patient’s age and history of depression, may be harbingers of cognitive impairment later in life, an analysis of decades of data from a large sleep study has found.

“What we were a little surprised to find in this model was that sleep duration, whether short, long or average, was not significant, but the sleep variability – the change in sleep across those time measurements—was significantly impacting the incidence of cognitive impairment,” Samantha Keil, PhD, a postdoctoral fellow at the University of Washington, Seattle, reported at the at the annual meeting of the Associated Professional Sleep Societies.

The researchers analyzed sleep and cognition data collected over decades on 1,104 adults who participated in the Seattle Longitudinal Study. Study participants ranged from age 55 to over 100, with almost 80% of the study cohort aged 65 and older.

The Seattle Longitudinal Study first started gathering data in the 1950s. Participants in the study cohort underwent an extensive cognitive battery, which was added to the study in 1984 and gathered every 5-7 years, and completed a health behavioral questionnaire (HBQ), which was added in 1993 and administered every 3-5 years, Dr. Keil said. The HBQ included a question on average nightly sleep duration.

The study used a multivariable Cox proportional hazard regression model to evaluate the overall effect of average sleep duration and changes in sleep duration over time on cognitive impairment. Covariates used in the model included apolipoprotein E4 (APOE4) genotype, gender, years of education, ethnicity, and depression.

Dr. Keil said the model found, as expected, that the  demographic variables of education, APOE status, and depression were significantly associated with cognitive impairment (hazard ratios of 1.11; 95% confidence interval [CI], 1.02-1.21; P = .01; and 2.08; 95% CI, 1.31-3.31; P < .005; and 1.08; 95% CI, 1.04-1.13; P < .005, respectively). Importantly, when evaluating the duration, change and variability of sleep, the researchers found that increased sleep variability was significantly associated with cognitive impairment (HR, 3.15; 95% CI, 1.69-5.87; P < .005).  

Under this analysis, “sleep variability over time and not median sleep duration was associated with cognitive impairment,” she said. When sleep variability was added into the model, it improved the concordance score – a value that reflects the ability of a model to predict an outcome better than random chance – from .63 to .73 (a value of .5 indicates the model is no better at predicting an outcome than a random chance model; a value of .7 or greater indicates a good model).

Identification of sleep variability as a sleep pattern of interest in longitudinal studies is important, Dr. Keil said, because simply evaluating mean or median sleep duration across time might not account for a subject’s variable sleep phenotype. Most importantly, further evaluation of sleep variability with a linear regression prediction analysis (F statistic 8.796, P < .0001, adjusted R-squared .235) found that increased age, depression, and sleep variability significantly predicted cognitive impairment 10 years downstream. “Longitudinal sleep variability is perhaps for the first time being reported as significantly associated with the development of downstream cognitive impairment,” Dr. Keil said.

What makes this study unique, Dr. Keil said in an interview, is that it used self-reported longitudinal data gathered at 3- to 5-year intervals for up to 25 years, allowing for the assessment of variation of sleep duration across this entire time frame. “If you could use that shift in sleep duration as a point of therapeutic intervention, that would be really exciting,” she said.

Future research will evaluate how sleep variability and cognitive function are impacted by other variables gathered in the Seattle Longitudinal Study over the years, including factors such as diabetes and hypertension status, diet, alcohol and tobacco use, and marital and family status. Follow-up studies will be investigating the impact of sleep variability on neuropathologic disease progression and lymphatic system impairment, Dr. Keil said.
 

A newer approach

By linking sleep variability and daytime functioning, the study employs a “newer approach,” said Joseph M. Dzierzewski, PhD, director of behavioral medicine concentration in the department of psychology at Virginia Commonwealth University in Richmond. “While some previous work has examined night-to-night fluctuation in various sleep characteristics and cognitive functioning, what differentiates the present study from these previous works is the duration of the investigation,” he said. The “richness of data” in the Seattle Longitudinal Study and how it tracks sleep and cognition over years make it “quite unique and novel.”

Future studies, he said, should be deliberate in how they evaluate sleep and neurocognitive function across years. “Disentangling short-term moment-to-moment and day-to-day fluctuation, which may be more reversible in nature, from long-term, enduring month-to-month or year-to-year fluctuation, which may be more permanent, will be important for continuing to advance our understanding of these complex phenomena,” Dr. Dzierzewski said. “An additional important area of future investigation would be to continue the hunt for a common biological factor underpinning both sleep variability and Alzheimer’s disease.” That, he said, may help identify potential intervention targets.

Dr. Keil and Dr. Dzierzewski have no relevant disclosures.

CHARLOTTE, N.C. – Erratic sleep patterns over years or even decades, along with a patient’s age and history of depression, may be harbingers of cognitive impairment later in life, an analysis of decades of data from a large sleep study has found.

“What we were a little surprised to find in this model was that sleep duration, whether short, long or average, was not significant, but the sleep variability – the change in sleep across those time measurements—was significantly impacting the incidence of cognitive impairment,” Samantha Keil, PhD, a postdoctoral fellow at the University of Washington, Seattle, reported at the at the annual meeting of the Associated Professional Sleep Societies.

The researchers analyzed sleep and cognition data collected over decades on 1,104 adults who participated in the Seattle Longitudinal Study. Study participants ranged from age 55 to over 100, with almost 80% of the study cohort aged 65 and older.

The Seattle Longitudinal Study first started gathering data in the 1950s. Participants in the study cohort underwent an extensive cognitive battery, which was added to the study in 1984 and gathered every 5-7 years, and completed a health behavioral questionnaire (HBQ), which was added in 1993 and administered every 3-5 years, Dr. Keil said. The HBQ included a question on average nightly sleep duration.

The study used a multivariable Cox proportional hazard regression model to evaluate the overall effect of average sleep duration and changes in sleep duration over time on cognitive impairment. Covariates used in the model included apolipoprotein E4 (APOE4) genotype, gender, years of education, ethnicity, and depression.

Dr. Keil said the model found, as expected, that the  demographic variables of education, APOE status, and depression were significantly associated with cognitive impairment (hazard ratios of 1.11; 95% confidence interval [CI], 1.02-1.21; P = .01; and 2.08; 95% CI, 1.31-3.31; P < .005; and 1.08; 95% CI, 1.04-1.13; P < .005, respectively). Importantly, when evaluating the duration, change and variability of sleep, the researchers found that increased sleep variability was significantly associated with cognitive impairment (HR, 3.15; 95% CI, 1.69-5.87; P < .005).  

Under this analysis, “sleep variability over time and not median sleep duration was associated with cognitive impairment,” she said. When sleep variability was added into the model, it improved the concordance score – a value that reflects the ability of a model to predict an outcome better than random chance – from .63 to .73 (a value of .5 indicates the model is no better at predicting an outcome than a random chance model; a value of .7 or greater indicates a good model).

Identification of sleep variability as a sleep pattern of interest in longitudinal studies is important, Dr. Keil said, because simply evaluating mean or median sleep duration across time might not account for a subject’s variable sleep phenotype. Most importantly, further evaluation of sleep variability with a linear regression prediction analysis (F statistic 8.796, P < .0001, adjusted R-squared .235) found that increased age, depression, and sleep variability significantly predicted cognitive impairment 10 years downstream. “Longitudinal sleep variability is perhaps for the first time being reported as significantly associated with the development of downstream cognitive impairment,” Dr. Keil said.

What makes this study unique, Dr. Keil said in an interview, is that it used self-reported longitudinal data gathered at 3- to 5-year intervals for up to 25 years, allowing for the assessment of variation of sleep duration across this entire time frame. “If you could use that shift in sleep duration as a point of therapeutic intervention, that would be really exciting,” she said.

Future research will evaluate how sleep variability and cognitive function are impacted by other variables gathered in the Seattle Longitudinal Study over the years, including factors such as diabetes and hypertension status, diet, alcohol and tobacco use, and marital and family status. Follow-up studies will be investigating the impact of sleep variability on neuropathologic disease progression and lymphatic system impairment, Dr. Keil said.
 

A newer approach

By linking sleep variability and daytime functioning, the study employs a “newer approach,” said Joseph M. Dzierzewski, PhD, director of behavioral medicine concentration in the department of psychology at Virginia Commonwealth University in Richmond. “While some previous work has examined night-to-night fluctuation in various sleep characteristics and cognitive functioning, what differentiates the present study from these previous works is the duration of the investigation,” he said. The “richness of data” in the Seattle Longitudinal Study and how it tracks sleep and cognition over years make it “quite unique and novel.”

Future studies, he said, should be deliberate in how they evaluate sleep and neurocognitive function across years. “Disentangling short-term moment-to-moment and day-to-day fluctuation, which may be more reversible in nature, from long-term, enduring month-to-month or year-to-year fluctuation, which may be more permanent, will be important for continuing to advance our understanding of these complex phenomena,” Dr. Dzierzewski said. “An additional important area of future investigation would be to continue the hunt for a common biological factor underpinning both sleep variability and Alzheimer’s disease.” That, he said, may help identify potential intervention targets.

Dr. Keil and Dr. Dzierzewski have no relevant disclosures.

CHARLOTTE, N.C. – Erratic sleep patterns over years or even decades, along with a patient’s age and history of depression, may be harbingers of cognitive impairment later in life, an analysis of decades of data from a large sleep study has found.

“What we were a little surprised to find in this model was that sleep duration, whether short, long or average, was not significant, but the sleep variability – the change in sleep across those time measurements—was significantly impacting the incidence of cognitive impairment,” Samantha Keil, PhD, a postdoctoral fellow at the University of Washington, Seattle, reported at the at the annual meeting of the Associated Professional Sleep Societies.

The researchers analyzed sleep and cognition data collected over decades on 1,104 adults who participated in the Seattle Longitudinal Study. Study participants ranged from age 55 to over 100, with almost 80% of the study cohort aged 65 and older.

The Seattle Longitudinal Study first started gathering data in the 1950s. Participants in the study cohort underwent an extensive cognitive battery, which was added to the study in 1984 and gathered every 5-7 years, and completed a health behavioral questionnaire (HBQ), which was added in 1993 and administered every 3-5 years, Dr. Keil said. The HBQ included a question on average nightly sleep duration.

The study used a multivariable Cox proportional hazard regression model to evaluate the overall effect of average sleep duration and changes in sleep duration over time on cognitive impairment. Covariates used in the model included apolipoprotein E4 (APOE4) genotype, gender, years of education, ethnicity, and depression.

Dr. Keil said the model found, as expected, that the  demographic variables of education, APOE status, and depression were significantly associated with cognitive impairment (hazard ratios of 1.11; 95% confidence interval [CI], 1.02-1.21; P = .01; and 2.08; 95% CI, 1.31-3.31; P < .005; and 1.08; 95% CI, 1.04-1.13; P < .005, respectively). Importantly, when evaluating the duration, change and variability of sleep, the researchers found that increased sleep variability was significantly associated with cognitive impairment (HR, 3.15; 95% CI, 1.69-5.87; P < .005).  

Under this analysis, “sleep variability over time and not median sleep duration was associated with cognitive impairment,” she said. When sleep variability was added into the model, it improved the concordance score – a value that reflects the ability of a model to predict an outcome better than random chance – from .63 to .73 (a value of .5 indicates the model is no better at predicting an outcome than a random chance model; a value of .7 or greater indicates a good model).

Identification of sleep variability as a sleep pattern of interest in longitudinal studies is important, Dr. Keil said, because simply evaluating mean or median sleep duration across time might not account for a subject’s variable sleep phenotype. Most importantly, further evaluation of sleep variability with a linear regression prediction analysis (F statistic 8.796, P < .0001, adjusted R-squared .235) found that increased age, depression, and sleep variability significantly predicted cognitive impairment 10 years downstream. “Longitudinal sleep variability is perhaps for the first time being reported as significantly associated with the development of downstream cognitive impairment,” Dr. Keil said.

What makes this study unique, Dr. Keil said in an interview, is that it used self-reported longitudinal data gathered at 3- to 5-year intervals for up to 25 years, allowing for the assessment of variation of sleep duration across this entire time frame. “If you could use that shift in sleep duration as a point of therapeutic intervention, that would be really exciting,” she said.

Future research will evaluate how sleep variability and cognitive function are impacted by other variables gathered in the Seattle Longitudinal Study over the years, including factors such as diabetes and hypertension status, diet, alcohol and tobacco use, and marital and family status. Follow-up studies will be investigating the impact of sleep variability on neuropathologic disease progression and lymphatic system impairment, Dr. Keil said.
 

A newer approach

By linking sleep variability and daytime functioning, the study employs a “newer approach,” said Joseph M. Dzierzewski, PhD, director of behavioral medicine concentration in the department of psychology at Virginia Commonwealth University in Richmond. “While some previous work has examined night-to-night fluctuation in various sleep characteristics and cognitive functioning, what differentiates the present study from these previous works is the duration of the investigation,” he said. The “richness of data” in the Seattle Longitudinal Study and how it tracks sleep and cognition over years make it “quite unique and novel.”

Future studies, he said, should be deliberate in how they evaluate sleep and neurocognitive function across years. “Disentangling short-term moment-to-moment and day-to-day fluctuation, which may be more reversible in nature, from long-term, enduring month-to-month or year-to-year fluctuation, which may be more permanent, will be important for continuing to advance our understanding of these complex phenomena,” Dr. Dzierzewski said. “An additional important area of future investigation would be to continue the hunt for a common biological factor underpinning both sleep variability and Alzheimer’s disease.” That, he said, may help identify potential intervention targets.

Dr. Keil and Dr. Dzierzewski have no relevant disclosures.

CHARLOTTE, N.C. – Overnight sleep electroencephalography (EEG) contains an abundance of brain wave data that could be mined to identify an individual’s risk for a host of health outcomes, including dementia, cognitive impairment, and cardiovascular events, a researcher reported at the annual meeting of the Associated Professional Sleep Societies. “Sleep EEGs contain decodable information about the risk of unfavorable outcomes,” said Haoqi Sun, PhD, an instructor of neurology at Massachusetts General Hospital, Boston, and lead study author. “The results suggest that it’s feasible to use sleep to identify people with high risk of unfavorable outcomes and it strengthens the concept of sleep as a window into brain and general health.”

The researchers performed a quantitative analysis of sleep data collected on 8,673 adults who had diagnostic sleep studies that included polysomnography (PSG). The analysis used ICD codes to consider these 11 health outcomes: dementia, mild cognitive impairment (MCI) or dementia, ischemic stroke, intracranial hemorrhage, atrial fibrillation, myocardial infarction, type 2 diabetes, hypertension, bipolar disorder, depression, and mortality.

Then, Dr. Sun explained, they extracted 86 spectral and time-domain features of REM and non-REM sleep from sleep EEG recordings, and analyzed that data by adjusting for eight covariates including age, sex, body mass index, and use of benzodiazepines, antidepressants, sedatives, antiseizure drugs, and stimulants.

Participants were partitioned into three sleep-quality groups: poor, average, and good. The outcome-wise mean prediction difference in 10-year cumulative incidence was 2.3% for the poor sleep group, 0.5% for the average sleep group, and 1.3% for the good sleep group.

The outcomes with the three greatest poor to average risk ratios were dementia (6.2; 95% confidence interval, 4.5-9.3), mortality (5.7; 95% CI, 5-7.5) and MCI or dementia (4; 95% CI, 3.2-4.9).
 

Ready for the clinic?

In an interview, Dr. Sun said the results demonstrated the potential of using EEG brain wave data to predict health outcomes on an individual basis, although he acknowledged that most of the 86 sleep features the researchers used are not readily available in the clinic.

He noted the spectral features used in the study can be captured through software compatible with PSG. “From there you can identify the various bands, the different frequency ranges, and then you can easily see within this range whether a person has a higher power or lower power,” he said. However, the spindle and slow-oscillation features that researchers used in the study are beyond the reach of most clinics.
 

Next steps

This research is in its early stage, Dr. Sun said, but at some point the data collected from sleep studies could be paired with machine learning to make the model workable for evaluating individual patients. “Our goal is to first make this individualized,” he said. “We want to minimize the noise in the recording and minimize the night-to-night variability in the findings. There is some clinical-informed approach and there is also some algorithm-informed approach where you can minimize the variation over time.”

The model also has the potential to predict outcomes, particularly with chronic diseases such as diabetes and dementia, well before a diagnosis is made, he said.
 

‘Fascinating’ and ‘provocative’

Donald Bliwise, PhD, professor of neurology at Emory Sleep Center in Atlanta, said the study was “fascinating; it’s provocative; it’s exciting and interesting,” but added, “Sleep is vital for health. That’s abundantly clear in a study like that, but trying to push it a little bit further with all of these 86 measurements of the EEG, I think it becomes complicated.”

The study methodology, particularly the use of cumulative incidence of various diseases, was laudable, he said, and the use of simpler EEG-measured sleep features, such as alpha band power, “make intuitive sense.”

But it’s less clear on how the more sophisticated features the study model used – for example, kurtosis of theta frequency or coupling between spindle and slow oscillation – rank on sleep quality, he said, adding that the researchers have most likely done that but couldn’t add that into the format of the presentation.

“Kurtosis of the theta frequency band we don’t get on everyone in the sleep lab,” Dr. Bliwise said. “We might be able to, but I don’t know how to quite plug that into a turnkey model.”

The clinical components of the study were conducted by M. Brandon Westover, MD, PhD, at Massachusetts General Hospital, and Robert J. Thomas, MD, at Beth Israel Deaconess Medical Center, both in Boston. The study received support from the American Academy of Sleep Medicine Foundation. Dr. Sun has no relevant disclosures. Dr. Bliwise has no disclosures.

CHARLOTTE, N.C. – Overnight sleep electroencephalography (EEG) contains an abundance of brain wave data that could be mined to identify an individual’s risk for a host of health outcomes, including dementia, cognitive impairment, and cardiovascular events, a researcher reported at the annual meeting of the Associated Professional Sleep Societies. “Sleep EEGs contain decodable information about the risk of unfavorable outcomes,” said Haoqi Sun, PhD, an instructor of neurology at Massachusetts General Hospital, Boston, and lead study author. “The results suggest that it’s feasible to use sleep to identify people with high risk of unfavorable outcomes and it strengthens the concept of sleep as a window into brain and general health.”

The researchers performed a quantitative analysis of sleep data collected on 8,673 adults who had diagnostic sleep studies that included polysomnography (PSG). The analysis used ICD codes to consider these 11 health outcomes: dementia, mild cognitive impairment (MCI) or dementia, ischemic stroke, intracranial hemorrhage, atrial fibrillation, myocardial infarction, type 2 diabetes, hypertension, bipolar disorder, depression, and mortality.

Then, Dr. Sun explained, they extracted 86 spectral and time-domain features of REM and non-REM sleep from sleep EEG recordings, and analyzed that data by adjusting for eight covariates including age, sex, body mass index, and use of benzodiazepines, antidepressants, sedatives, antiseizure drugs, and stimulants.

Participants were partitioned into three sleep-quality groups: poor, average, and good. The outcome-wise mean prediction difference in 10-year cumulative incidence was 2.3% for the poor sleep group, 0.5% for the average sleep group, and 1.3% for the good sleep group.

The outcomes with the three greatest poor to average risk ratios were dementia (6.2; 95% confidence interval, 4.5-9.3), mortality (5.7; 95% CI, 5-7.5) and MCI or dementia (4; 95% CI, 3.2-4.9).
 

Ready for the clinic?

In an interview, Dr. Sun said the results demonstrated the potential of using EEG brain wave data to predict health outcomes on an individual basis, although he acknowledged that most of the 86 sleep features the researchers used are not readily available in the clinic.

He noted the spectral features used in the study can be captured through software compatible with PSG. “From there you can identify the various bands, the different frequency ranges, and then you can easily see within this range whether a person has a higher power or lower power,” he said. However, the spindle and slow-oscillation features that researchers used in the study are beyond the reach of most clinics.
 

Next steps

This research is in its early stage, Dr. Sun said, but at some point the data collected from sleep studies could be paired with machine learning to make the model workable for evaluating individual patients. “Our goal is to first make this individualized,” he said. “We want to minimize the noise in the recording and minimize the night-to-night variability in the findings. There is some clinical-informed approach and there is also some algorithm-informed approach where you can minimize the variation over time.”

The model also has the potential to predict outcomes, particularly with chronic diseases such as diabetes and dementia, well before a diagnosis is made, he said.
 

‘Fascinating’ and ‘provocative’

Donald Bliwise, PhD, professor of neurology at Emory Sleep Center in Atlanta, said the study was “fascinating; it’s provocative; it’s exciting and interesting,” but added, “Sleep is vital for health. That’s abundantly clear in a study like that, but trying to push it a little bit further with all of these 86 measurements of the EEG, I think it becomes complicated.”

The study methodology, particularly the use of cumulative incidence of various diseases, was laudable, he said, and the use of simpler EEG-measured sleep features, such as alpha band power, “make intuitive sense.”

But it’s less clear on how the more sophisticated features the study model used – for example, kurtosis of theta frequency or coupling between spindle and slow oscillation – rank on sleep quality, he said, adding that the researchers have most likely done that but couldn’t add that into the format of the presentation.

“Kurtosis of the theta frequency band we don’t get on everyone in the sleep lab,” Dr. Bliwise said. “We might be able to, but I don’t know how to quite plug that into a turnkey model.”

The clinical components of the study were conducted by M. Brandon Westover, MD, PhD, at Massachusetts General Hospital, and Robert J. Thomas, MD, at Beth Israel Deaconess Medical Center, both in Boston. The study received support from the American Academy of Sleep Medicine Foundation. Dr. Sun has no relevant disclosures. Dr. Bliwise has no disclosures.

CHARLOTTE, N.C. – Overnight sleep electroencephalography (EEG) contains an abundance of brain wave data that could be mined to identify an individual’s risk for a host of health outcomes, including dementia, cognitive impairment, and cardiovascular events, a researcher reported at the annual meeting of the Associated Professional Sleep Societies. “Sleep EEGs contain decodable information about the risk of unfavorable outcomes,” said Haoqi Sun, PhD, an instructor of neurology at Massachusetts General Hospital, Boston, and lead study author. “The results suggest that it’s feasible to use sleep to identify people with high risk of unfavorable outcomes and it strengthens the concept of sleep as a window into brain and general health.”

The researchers performed a quantitative analysis of sleep data collected on 8,673 adults who had diagnostic sleep studies that included polysomnography (PSG). The analysis used ICD codes to consider these 11 health outcomes: dementia, mild cognitive impairment (MCI) or dementia, ischemic stroke, intracranial hemorrhage, atrial fibrillation, myocardial infarction, type 2 diabetes, hypertension, bipolar disorder, depression, and mortality.

Then, Dr. Sun explained, they extracted 86 spectral and time-domain features of REM and non-REM sleep from sleep EEG recordings, and analyzed that data by adjusting for eight covariates including age, sex, body mass index, and use of benzodiazepines, antidepressants, sedatives, antiseizure drugs, and stimulants.

Participants were partitioned into three sleep-quality groups: poor, average, and good. The outcome-wise mean prediction difference in 10-year cumulative incidence was 2.3% for the poor sleep group, 0.5% for the average sleep group, and 1.3% for the good sleep group.

The outcomes with the three greatest poor to average risk ratios were dementia (6.2; 95% confidence interval, 4.5-9.3), mortality (5.7; 95% CI, 5-7.5) and MCI or dementia (4; 95% CI, 3.2-4.9).
 

Ready for the clinic?

In an interview, Dr. Sun said the results demonstrated the potential of using EEG brain wave data to predict health outcomes on an individual basis, although he acknowledged that most of the 86 sleep features the researchers used are not readily available in the clinic.

He noted the spectral features used in the study can be captured through software compatible with PSG. “From there you can identify the various bands, the different frequency ranges, and then you can easily see within this range whether a person has a higher power or lower power,” he said. However, the spindle and slow-oscillation features that researchers used in the study are beyond the reach of most clinics.
 

Next steps

This research is in its early stage, Dr. Sun said, but at some point the data collected from sleep studies could be paired with machine learning to make the model workable for evaluating individual patients. “Our goal is to first make this individualized,” he said. “We want to minimize the noise in the recording and minimize the night-to-night variability in the findings. There is some clinical-informed approach and there is also some algorithm-informed approach where you can minimize the variation over time.”

The model also has the potential to predict outcomes, particularly with chronic diseases such as diabetes and dementia, well before a diagnosis is made, he said.
 

‘Fascinating’ and ‘provocative’

Donald Bliwise, PhD, professor of neurology at Emory Sleep Center in Atlanta, said the study was “fascinating; it’s provocative; it’s exciting and interesting,” but added, “Sleep is vital for health. That’s abundantly clear in a study like that, but trying to push it a little bit further with all of these 86 measurements of the EEG, I think it becomes complicated.”

The study methodology, particularly the use of cumulative incidence of various diseases, was laudable, he said, and the use of simpler EEG-measured sleep features, such as alpha band power, “make intuitive sense.”

But it’s less clear on how the more sophisticated features the study model used – for example, kurtosis of theta frequency or coupling between spindle and slow oscillation – rank on sleep quality, he said, adding that the researchers have most likely done that but couldn’t add that into the format of the presentation.

“Kurtosis of the theta frequency band we don’t get on everyone in the sleep lab,” Dr. Bliwise said. “We might be able to, but I don’t know how to quite plug that into a turnkey model.”

The clinical components of the study were conducted by M. Brandon Westover, MD, PhD, at Massachusetts General Hospital, and Robert J. Thomas, MD, at Beth Israel Deaconess Medical Center, both in Boston. The study received support from the American Academy of Sleep Medicine Foundation. Dr. Sun has no relevant disclosures. Dr. Bliwise has no disclosures.

CHARLOTTE, N.C. – Sleep and alcohol consumption in young adults seems to follow a “vicious cycle,” as one observer called it. Young adults those who drink more go to bed later, sleep less, and have worse-quality sleep than those who drink less, and those who went to bed earlier and slept longer tended to drink less the next day, a study of drinking and sleeping habits in 21- to 29-year-olds found.

“Sleep is a potential factor that we could intervene on to really identify how to improve drinking behaviors among young adults,” David Reichenberger, a graduate student at Penn State University, University Park, said in an interview after he presented his findings at the annual meeting of the Associated Professional Sleep Societies.

This is one of the few studies of alcohol consumption and sleep patterns that used an objective measure of alcohol consumption, Mr. Reichenberger said. The study evaluated sleep and alcohol consumption patterns in 222 regularly drinking young adults over 6 consecutive days. Study participants completed morning smartphone-based questionnaires, reporting their previous night’s bedtime, sleep duration, sleep quality, and number of drinks consumed. They also wore an alcohol monitor that continuously measured their transdermal alcohol consumption (TAC).

The study analyzed the data using two sets of multilevel models: A linear model that looked at how each drinking predictor was associated with each sleep variable and a Poisson model to determine how sleep predicted next-day alcohol use.

“We found that higher average peak TAC – that is, how intoxicated they got – was associated with a 19-minute later bedtime among young adults,” Mr. Reichenberger said. “Later bedtimes were then associated with a 26% greater TAC among those adults” (P < .02).
 

Patterns of alcohol consumption and sleep

On days when participants recorded a higher peak TAC, bedtime was delayed, sleep duration was shorter, and subjective sleep quality was worse, he said. However, none of the sleep variables predicted next-day peak TAC.

“We found an association between the duration of the drinking episode and later bedtimes among young adults,” he added. “And on days when the drinking episodes were longer, subsequent sleep was delayed and sleep quality was worse. But we also found that after nights when they had a later bedtime, next-day drinking episodes were about 7% longer.”

Conversely, young adults who had earlier bedtimes and longer sleep durations tended to consume fewer drinks and they achieved lower intoxication levels the next day, Mr. Reichenberger said.

Between-person results showed that young adults who tended to go to bed later drank on average 24% more the next day (P < .01). Also, each extra hour of sleep was associated with a 14% decrease in drinking the next day (P < .03).

Participants who drank more went to bed on average 12-19 minutes later (P < .01) and slept 5 fewer minutes (P < .01). Within-person results showed that on nights when participants drank more than usual they went to bed 8-13 minutes later (P < .01), slept 2-4 fewer minutes (P < .03), and had worse sleep quality (P < .01).

Mr. Reichenberger acknowledged one limitation of the study: Measuring sleep and alcohol consumption patterns over 6 days might not be long enough. Future studies should address that.
 

A ‘vicious cycle’

Hans P.A. Van Dongen, PhD, director of the Sleep and Performance Research Center at Washington State University, Spokane, said in an interview that the findings imply a “vicious cycle” between sleep and alcohol consumption. “You create a problem and then it perpetuates itself or reinforces itself.”

In older adults, alcohol tends to act as a “sleep aid,” Dr. Van Dongen noted. “Then it disrupts their sleep later on and then the next night they need to use the sleep aid again because they had a really poor night and they’re tired and they want to fall asleep.”

He added: “I think what is new here is that’s not very likely the mechanism that they’re using alcohol as a sleep aid in younger adults that we see in older adults, so I think there is a new element to it. Now does anybody know how that works exactly? No, that’s the next thing.”

The Penn State study identifies “a signal there that needs to be followed up on,” Dr. Van Dongen said. “There’s something nature’s trying to tell us but it’s not exactly clear what it’s trying to tell us.”

The National Institute on Drug Abuse provided funding for the study. Mr. Reichenberger has no relevant disclosures. Dr. Van Dongen has no disclosures to report.

CHARLOTTE, N.C. – Sleep and alcohol consumption in young adults seems to follow a “vicious cycle,” as one observer called it. Young adults those who drink more go to bed later, sleep less, and have worse-quality sleep than those who drink less, and those who went to bed earlier and slept longer tended to drink less the next day, a study of drinking and sleeping habits in 21- to 29-year-olds found.

“Sleep is a potential factor that we could intervene on to really identify how to improve drinking behaviors among young adults,” David Reichenberger, a graduate student at Penn State University, University Park, said in an interview after he presented his findings at the annual meeting of the Associated Professional Sleep Societies.

This is one of the few studies of alcohol consumption and sleep patterns that used an objective measure of alcohol consumption, Mr. Reichenberger said. The study evaluated sleep and alcohol consumption patterns in 222 regularly drinking young adults over 6 consecutive days. Study participants completed morning smartphone-based questionnaires, reporting their previous night’s bedtime, sleep duration, sleep quality, and number of drinks consumed. They also wore an alcohol monitor that continuously measured their transdermal alcohol consumption (TAC).

The study analyzed the data using two sets of multilevel models: A linear model that looked at how each drinking predictor was associated with each sleep variable and a Poisson model to determine how sleep predicted next-day alcohol use.

“We found that higher average peak TAC – that is, how intoxicated they got – was associated with a 19-minute later bedtime among young adults,” Mr. Reichenberger said. “Later bedtimes were then associated with a 26% greater TAC among those adults” (P < .02).
 

Patterns of alcohol consumption and sleep

On days when participants recorded a higher peak TAC, bedtime was delayed, sleep duration was shorter, and subjective sleep quality was worse, he said. However, none of the sleep variables predicted next-day peak TAC.

“We found an association between the duration of the drinking episode and later bedtimes among young adults,” he added. “And on days when the drinking episodes were longer, subsequent sleep was delayed and sleep quality was worse. But we also found that after nights when they had a later bedtime, next-day drinking episodes were about 7% longer.”

Conversely, young adults who had earlier bedtimes and longer sleep durations tended to consume fewer drinks and they achieved lower intoxication levels the next day, Mr. Reichenberger said.

Between-person results showed that young adults who tended to go to bed later drank on average 24% more the next day (P < .01). Also, each extra hour of sleep was associated with a 14% decrease in drinking the next day (P < .03).

Participants who drank more went to bed on average 12-19 minutes later (P < .01) and slept 5 fewer minutes (P < .01). Within-person results showed that on nights when participants drank more than usual they went to bed 8-13 minutes later (P < .01), slept 2-4 fewer minutes (P < .03), and had worse sleep quality (P < .01).

Mr. Reichenberger acknowledged one limitation of the study: Measuring sleep and alcohol consumption patterns over 6 days might not be long enough. Future studies should address that.
 

A ‘vicious cycle’

Hans P.A. Van Dongen, PhD, director of the Sleep and Performance Research Center at Washington State University, Spokane, said in an interview that the findings imply a “vicious cycle” between sleep and alcohol consumption. “You create a problem and then it perpetuates itself or reinforces itself.”

In older adults, alcohol tends to act as a “sleep aid,” Dr. Van Dongen noted. “Then it disrupts their sleep later on and then the next night they need to use the sleep aid again because they had a really poor night and they’re tired and they want to fall asleep.”

He added: “I think what is new here is that’s not very likely the mechanism that they’re using alcohol as a sleep aid in younger adults that we see in older adults, so I think there is a new element to it. Now does anybody know how that works exactly? No, that’s the next thing.”

The Penn State study identifies “a signal there that needs to be followed up on,” Dr. Van Dongen said. “There’s something nature’s trying to tell us but it’s not exactly clear what it’s trying to tell us.”

The National Institute on Drug Abuse provided funding for the study. Mr. Reichenberger has no relevant disclosures. Dr. Van Dongen has no disclosures to report.

CHARLOTTE, N.C. – Sleep and alcohol consumption in young adults seems to follow a “vicious cycle,” as one observer called it. Young adults those who drink more go to bed later, sleep less, and have worse-quality sleep than those who drink less, and those who went to bed earlier and slept longer tended to drink less the next day, a study of drinking and sleeping habits in 21- to 29-year-olds found.

“Sleep is a potential factor that we could intervene on to really identify how to improve drinking behaviors among young adults,” David Reichenberger, a graduate student at Penn State University, University Park, said in an interview after he presented his findings at the annual meeting of the Associated Professional Sleep Societies.

This is one of the few studies of alcohol consumption and sleep patterns that used an objective measure of alcohol consumption, Mr. Reichenberger said. The study evaluated sleep and alcohol consumption patterns in 222 regularly drinking young adults over 6 consecutive days. Study participants completed morning smartphone-based questionnaires, reporting their previous night’s bedtime, sleep duration, sleep quality, and number of drinks consumed. They also wore an alcohol monitor that continuously measured their transdermal alcohol consumption (TAC).

The study analyzed the data using two sets of multilevel models: A linear model that looked at how each drinking predictor was associated with each sleep variable and a Poisson model to determine how sleep predicted next-day alcohol use.

“We found that higher average peak TAC – that is, how intoxicated they got – was associated with a 19-minute later bedtime among young adults,” Mr. Reichenberger said. “Later bedtimes were then associated with a 26% greater TAC among those adults” (P < .02).
 

Patterns of alcohol consumption and sleep

On days when participants recorded a higher peak TAC, bedtime was delayed, sleep duration was shorter, and subjective sleep quality was worse, he said. However, none of the sleep variables predicted next-day peak TAC.

“We found an association between the duration of the drinking episode and later bedtimes among young adults,” he added. “And on days when the drinking episodes were longer, subsequent sleep was delayed and sleep quality was worse. But we also found that after nights when they had a later bedtime, next-day drinking episodes were about 7% longer.”

Conversely, young adults who had earlier bedtimes and longer sleep durations tended to consume fewer drinks and they achieved lower intoxication levels the next day, Mr. Reichenberger said.

Between-person results showed that young adults who tended to go to bed later drank on average 24% more the next day (P < .01). Also, each extra hour of sleep was associated with a 14% decrease in drinking the next day (P < .03).

Participants who drank more went to bed on average 12-19 minutes later (P < .01) and slept 5 fewer minutes (P < .01). Within-person results showed that on nights when participants drank more than usual they went to bed 8-13 minutes later (P < .01), slept 2-4 fewer minutes (P < .03), and had worse sleep quality (P < .01).

Mr. Reichenberger acknowledged one limitation of the study: Measuring sleep and alcohol consumption patterns over 6 days might not be long enough. Future studies should address that.
 

A ‘vicious cycle’

Hans P.A. Van Dongen, PhD, director of the Sleep and Performance Research Center at Washington State University, Spokane, said in an interview that the findings imply a “vicious cycle” between sleep and alcohol consumption. “You create a problem and then it perpetuates itself or reinforces itself.”

In older adults, alcohol tends to act as a “sleep aid,” Dr. Van Dongen noted. “Then it disrupts their sleep later on and then the next night they need to use the sleep aid again because they had a really poor night and they’re tired and they want to fall asleep.”

He added: “I think what is new here is that’s not very likely the mechanism that they’re using alcohol as a sleep aid in younger adults that we see in older adults, so I think there is a new element to it. Now does anybody know how that works exactly? No, that’s the next thing.”

The Penn State study identifies “a signal there that needs to be followed up on,” Dr. Van Dongen said. “There’s something nature’s trying to tell us but it’s not exactly clear what it’s trying to tell us.”

The National Institute on Drug Abuse provided funding for the study. Mr. Reichenberger has no relevant disclosures. Dr. Van Dongen has no disclosures to report.

The 1-year results of the Harmony transcatheter pulmonary valve to treat severe pulmonary regurgitation have shown a high rate of eliminating or reducing the degree of symptoms as well as freedom from endocarditis, sustained ventricular tachycardia, and the need for further interventions.

“Simply put, the good news is no endocarditis,” said Daniel S. Levi, MD, in presenting results from three different studies with 108 patients who received three different iterations of the device at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

courtesy University of California, Los Angeles

“Endocarditis has been an issue for us in the pulmonary position; we have yet to have an endocarditis in these patients in 1 year,” he stressed.

The studies evaluated three different versions of the Harmony valve: TPV22 (42 patients), the first version with a 22-mm diameter; the Clinical TPV25 (17 patients), the first iteration of a 25 mm–wide device that has since been discontinued; and the modified TPV25 (45 patients), the second version of the 25-mm valve. The three studies are the early feasibility study of the TPV22, the continued-access study of the TPV22 and the mTPV25, and the pivotal study that included all three versions.

At baseline, 89% of patients had severe and 11% had moderate pulmonary regurgitation (PR). At 1 year, 92% had none or trace PR, 3% had mild PR, and 4% moderate disease.  

Dr. Levi said the device “speaks for itself” in the results he presented. They include no deaths, no heart attacks, and no pulmonary thromboembolism. Other key outcomes include:

• One major stent fracture in one of the early feasibility study patients at 1-month follow-up.
• Four explants, with two in the discontinued cTPV25 and two with the TPV22 in the early-feasibility study.
• Four reinterventions, two with the discontinued cTPV25 and two valve-in-valve procedures with the mTPV25 in the continued-access study, one with stent placement in the right ventricular outflow tract.

Dr. Levi and coinvestigators also performed a breakdown of 1-year outcomes – freedom from PR, stenosis, and interventions – by device: 95.1% for TPV22; 89.7% for mTPV25; and 73.3% for the discontinued cTPV25.

Although the valve is indicated for adolescents and adults, most of the patients in the three studies were adults, with an average weight of 165 pounds (75 kg) who have had PR for decades, said Dr. Levi, an interventional pediatric cardiologist at the University of California, Los Angeles. “With a device like this we are hopefully shifting to treating that a little bit earlier, but fortunately we don’t usually need to treat it before puberty.” The 25-mm TPV gives “a really nice landing zone” for future valve placement. “The goal is to keep patients out of the operating room for at least a few decades if not their whole lives,” he said.

Dr. Levi said the Harmony investigators will follow outcomes with the 22- and modified 25-mm Harmony valves, both of which remain commercially available, out to 10 years.

The study represents the first collective cohort evaluating the Harmony device across the early feasibility, continued access and pivotal studies, said Brian Morray, MD. “It’s important that people understand that evolution and how that impacts the way we look at outcomes, because when you aggregate the data, particularly for the TPV25, some of the procedural outcomes and the adverse events are no longer really reflective in the current time frame.”

These Harmony results “represent another big step in the evolution of interventional cardiology and will be up there with development of the Melody valve and the utility and the use of the Sapien valve in the pulmonary position,” said Dr. Morray, an associate professor of pediatrics at the University of Washington, Seattle, and an interventional cardiologist at Seattle Children’s Hospital.

Dr. Levi disclosed he is a consultant to Medtronic and Edwards Lifesciences. Dr. Morray disclosed he is a clinical proctor for Abbott and a consultant to Medtronic, but not for the Harmony device.
 

The 1-year results of the Harmony transcatheter pulmonary valve to treat severe pulmonary regurgitation have shown a high rate of eliminating or reducing the degree of symptoms as well as freedom from endocarditis, sustained ventricular tachycardia, and the need for further interventions.

“Simply put, the good news is no endocarditis,” said Daniel S. Levi, MD, in presenting results from three different studies with 108 patients who received three different iterations of the device at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

courtesy University of California, Los Angeles

“Endocarditis has been an issue for us in the pulmonary position; we have yet to have an endocarditis in these patients in 1 year,” he stressed.

The studies evaluated three different versions of the Harmony valve: TPV22 (42 patients), the first version with a 22-mm diameter; the Clinical TPV25 (17 patients), the first iteration of a 25 mm–wide device that has since been discontinued; and the modified TPV25 (45 patients), the second version of the 25-mm valve. The three studies are the early feasibility study of the TPV22, the continued-access study of the TPV22 and the mTPV25, and the pivotal study that included all three versions.

At baseline, 89% of patients had severe and 11% had moderate pulmonary regurgitation (PR). At 1 year, 92% had none or trace PR, 3% had mild PR, and 4% moderate disease.  

Dr. Levi said the device “speaks for itself” in the results he presented. They include no deaths, no heart attacks, and no pulmonary thromboembolism. Other key outcomes include:

• One major stent fracture in one of the early feasibility study patients at 1-month follow-up.
• Four explants, with two in the discontinued cTPV25 and two with the TPV22 in the early-feasibility study.
• Four reinterventions, two with the discontinued cTPV25 and two valve-in-valve procedures with the mTPV25 in the continued-access study, one with stent placement in the right ventricular outflow tract.

Dr. Levi and coinvestigators also performed a breakdown of 1-year outcomes – freedom from PR, stenosis, and interventions – by device: 95.1% for TPV22; 89.7% for mTPV25; and 73.3% for the discontinued cTPV25.

Although the valve is indicated for adolescents and adults, most of the patients in the three studies were adults, with an average weight of 165 pounds (75 kg) who have had PR for decades, said Dr. Levi, an interventional pediatric cardiologist at the University of California, Los Angeles. “With a device like this we are hopefully shifting to treating that a little bit earlier, but fortunately we don’t usually need to treat it before puberty.” The 25-mm TPV gives “a really nice landing zone” for future valve placement. “The goal is to keep patients out of the operating room for at least a few decades if not their whole lives,” he said.

Dr. Levi said the Harmony investigators will follow outcomes with the 22- and modified 25-mm Harmony valves, both of which remain commercially available, out to 10 years.

The study represents the first collective cohort evaluating the Harmony device across the early feasibility, continued access and pivotal studies, said Brian Morray, MD. “It’s important that people understand that evolution and how that impacts the way we look at outcomes, because when you aggregate the data, particularly for the TPV25, some of the procedural outcomes and the adverse events are no longer really reflective in the current time frame.”

These Harmony results “represent another big step in the evolution of interventional cardiology and will be up there with development of the Melody valve and the utility and the use of the Sapien valve in the pulmonary position,” said Dr. Morray, an associate professor of pediatrics at the University of Washington, Seattle, and an interventional cardiologist at Seattle Children’s Hospital.

Dr. Levi disclosed he is a consultant to Medtronic and Edwards Lifesciences. Dr. Morray disclosed he is a clinical proctor for Abbott and a consultant to Medtronic, but not for the Harmony device.
 

The 1-year results of the Harmony transcatheter pulmonary valve to treat severe pulmonary regurgitation have shown a high rate of eliminating or reducing the degree of symptoms as well as freedom from endocarditis, sustained ventricular tachycardia, and the need for further interventions.

“Simply put, the good news is no endocarditis,” said Daniel S. Levi, MD, in presenting results from three different studies with 108 patients who received three different iterations of the device at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

courtesy University of California, Los Angeles

“Endocarditis has been an issue for us in the pulmonary position; we have yet to have an endocarditis in these patients in 1 year,” he stressed.

The studies evaluated three different versions of the Harmony valve: TPV22 (42 patients), the first version with a 22-mm diameter; the Clinical TPV25 (17 patients), the first iteration of a 25 mm–wide device that has since been discontinued; and the modified TPV25 (45 patients), the second version of the 25-mm valve. The three studies are the early feasibility study of the TPV22, the continued-access study of the TPV22 and the mTPV25, and the pivotal study that included all three versions.

At baseline, 89% of patients had severe and 11% had moderate pulmonary regurgitation (PR). At 1 year, 92% had none or trace PR, 3% had mild PR, and 4% moderate disease.  

Dr. Levi said the device “speaks for itself” in the results he presented. They include no deaths, no heart attacks, and no pulmonary thromboembolism. Other key outcomes include:

• One major stent fracture in one of the early feasibility study patients at 1-month follow-up.
• Four explants, with two in the discontinued cTPV25 and two with the TPV22 in the early-feasibility study.
• Four reinterventions, two with the discontinued cTPV25 and two valve-in-valve procedures with the mTPV25 in the continued-access study, one with stent placement in the right ventricular outflow tract.

Dr. Levi and coinvestigators also performed a breakdown of 1-year outcomes – freedom from PR, stenosis, and interventions – by device: 95.1% for TPV22; 89.7% for mTPV25; and 73.3% for the discontinued cTPV25.

Although the valve is indicated for adolescents and adults, most of the patients in the three studies were adults, with an average weight of 165 pounds (75 kg) who have had PR for decades, said Dr. Levi, an interventional pediatric cardiologist at the University of California, Los Angeles. “With a device like this we are hopefully shifting to treating that a little bit earlier, but fortunately we don’t usually need to treat it before puberty.” The 25-mm TPV gives “a really nice landing zone” for future valve placement. “The goal is to keep patients out of the operating room for at least a few decades if not their whole lives,” he said.

Dr. Levi said the Harmony investigators will follow outcomes with the 22- and modified 25-mm Harmony valves, both of which remain commercially available, out to 10 years.

The study represents the first collective cohort evaluating the Harmony device across the early feasibility, continued access and pivotal studies, said Brian Morray, MD. “It’s important that people understand that evolution and how that impacts the way we look at outcomes, because when you aggregate the data, particularly for the TPV25, some of the procedural outcomes and the adverse events are no longer really reflective in the current time frame.”

These Harmony results “represent another big step in the evolution of interventional cardiology and will be up there with development of the Melody valve and the utility and the use of the Sapien valve in the pulmonary position,” said Dr. Morray, an associate professor of pediatrics at the University of Washington, Seattle, and an interventional cardiologist at Seattle Children’s Hospital.

Dr. Levi disclosed he is a consultant to Medtronic and Edwards Lifesciences. Dr. Morray disclosed he is a clinical proctor for Abbott and a consultant to Medtronic, but not for the Harmony device.
 

Technical and procedural success rates for chronic total occlusion percutaneous coronary intervention (CTO PCI) have increased steadily over the past 6 years, with rates of in-hospital major adverse cardiac events (MACE) declining to the 2%-or-lower range in that time.

“CTO PCI technical and procedural success rates are high and continue to increase over time,” Spyridon Kostantinis, MD said in presenting updated results from the international PROGRESS-CTO registry at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

Courtesy Minneapolis Heart Institute Foundation

“The overall success rate increased from 81.6% in 2018 to 88.1% in 2021,” he added. The overall incidence of in-hospital MACE in that time was “an acceptable” 2.1% without significant changes over that period.

The analysis examined clinical, angiographic and procedural outcomes of 10,249 CTO PCIs performed on 10,019 patients from 63 centers in nine countries during 2016-2021. PROGRESS-CTO stands for Prospective Global Registry for the Study of Chronic Total Occlusion Intervention.

The target CTOs were highly complex, he said, with an average J-CTO (multicenter CTO registry in Japan) score of 2.4 ± 1.3 and PROGRESS-CTO score of 1.3 ± 1. The most common CTO target vessel was the right coronary artery (53%), followed by the left anterior descending artery (26%) and the circumflex artery (19%).

The registry also tracked how characteristics of the CTO PCI procedures themselves changed over time. “The septal and the epicardial collaterals were the most common collaterals used for retrograde crossing, with a decreasing trend for epicardial collaterals over time,” said Dr. Kostantinis, a research fellow at the Minneapolis Heart Institute.

Septal collateral use varied between 64% and 69% of cases from 2016 to 2021, but the share of epicardial collaterals declined from 35% to 22% in that time.

“Over time, the range of antegrade wiring as the final successfully crossing strategy increased from 46% in 2016 to 61% in 2021, with a decrease in antegrade dissection and re-entry (ADR) and no change in the retrograde approach,” Dr. Kostantinis said. The percentage of procedures using ADR as the final crossing strategy declined from 18% in 2016 to 12% in 2021, with the rate of retrograde crossings peaking at 21% in 2016 but leveling off to 18% or 19% in the subsequent years.

“An increasing use in the efficiency of antegrade wiring may reflect an improvement in guidewire retrograde crossing as well as the increasing operator expertise,” Dr. Kostantinis said.

The study also found that contrast volume, air kerma radiation dose, fluoroscopy time, and procedure time declined steadily over time. “The potential explanations for these are using new x-ray systems as well as the use of intravascular imaging,” Dr. Kostantinis said.

In 2020, the rates of technical and procedural success, as well as the number of overall procedures, declined from 2019, while MACE rates ticked upward that year, probably because of the COVID-19 pandemic, Dr. Kostantinis said.

“It is true that we noticed a rise in MACE rate from 1.6% in 2019 to 2.7% in 2020, but in 2021 that decreased again to 1.7%,” he said in an interview. “Another potential explanation is the higher angiographic complexity of CTOs treated during that year (2020) that resulted in more adverse events.”

Previous results from the PROGRESS-CTO registry reported the difference in MACE between 2019 and 2020 was significant (P  = .01). “So, yes, the difference between those 2 years is significant,” Dr. Kostantinis said. However, he noted, the overall trend was not significant, with a P value of .194.

The risk profile of CTO PCI has improved “slowly” over time, said Kirk N. Garratt, MD, but “it’s not yet were it needs to be.”

He added, “Undoubtedly we’ve learned that, without any question, one method for minimizing the risk is to concentrate these cases in the hands of those that do many of them.” As the number of procedures fell – an “embedded” pandemic impact –“I worry that it’s inevitable that complication rates will tick up a bit,” said Dr. Garratt, director of the Center for Heart and Vascular Health at Christiana Care in Newark, Del.

By the same token, he added, this situation with regard to CTOs “parallels what’s happening elsewhere in interventional medicine and medicine broadly; numbers are increasing and we’re busy again. In most domains we’re not as busy as we had been prepandemic, and time will allow us to catch up.”

PROGRESS-CTO has received funding from the Joseph F. and Mary M. Fleischhacker Foundation and the Abbott Northwestern Hospital Foundation Innovation Grant.

Dr. Kostantinis has no disclosures. Dr. Garratt is an advisory board member for Abbott.

Technical and procedural success rates for chronic total occlusion percutaneous coronary intervention (CTO PCI) have increased steadily over the past 6 years, with rates of in-hospital major adverse cardiac events (MACE) declining to the 2%-or-lower range in that time.

“CTO PCI technical and procedural success rates are high and continue to increase over time,” Spyridon Kostantinis, MD said in presenting updated results from the international PROGRESS-CTO registry at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

Courtesy Minneapolis Heart Institute Foundation

“The overall success rate increased from 81.6% in 2018 to 88.1% in 2021,” he added. The overall incidence of in-hospital MACE in that time was “an acceptable” 2.1% without significant changes over that period.

The analysis examined clinical, angiographic and procedural outcomes of 10,249 CTO PCIs performed on 10,019 patients from 63 centers in nine countries during 2016-2021. PROGRESS-CTO stands for Prospective Global Registry for the Study of Chronic Total Occlusion Intervention.

The target CTOs were highly complex, he said, with an average J-CTO (multicenter CTO registry in Japan) score of 2.4 ± 1.3 and PROGRESS-CTO score of 1.3 ± 1. The most common CTO target vessel was the right coronary artery (53%), followed by the left anterior descending artery (26%) and the circumflex artery (19%).

The registry also tracked how characteristics of the CTO PCI procedures themselves changed over time. “The septal and the epicardial collaterals were the most common collaterals used for retrograde crossing, with a decreasing trend for epicardial collaterals over time,” said Dr. Kostantinis, a research fellow at the Minneapolis Heart Institute.

Septal collateral use varied between 64% and 69% of cases from 2016 to 2021, but the share of epicardial collaterals declined from 35% to 22% in that time.

“Over time, the range of antegrade wiring as the final successfully crossing strategy increased from 46% in 2016 to 61% in 2021, with a decrease in antegrade dissection and re-entry (ADR) and no change in the retrograde approach,” Dr. Kostantinis said. The percentage of procedures using ADR as the final crossing strategy declined from 18% in 2016 to 12% in 2021, with the rate of retrograde crossings peaking at 21% in 2016 but leveling off to 18% or 19% in the subsequent years.

“An increasing use in the efficiency of antegrade wiring may reflect an improvement in guidewire retrograde crossing as well as the increasing operator expertise,” Dr. Kostantinis said.

The study also found that contrast volume, air kerma radiation dose, fluoroscopy time, and procedure time declined steadily over time. “The potential explanations for these are using new x-ray systems as well as the use of intravascular imaging,” Dr. Kostantinis said.

In 2020, the rates of technical and procedural success, as well as the number of overall procedures, declined from 2019, while MACE rates ticked upward that year, probably because of the COVID-19 pandemic, Dr. Kostantinis said.

“It is true that we noticed a rise in MACE rate from 1.6% in 2019 to 2.7% in 2020, but in 2021 that decreased again to 1.7%,” he said in an interview. “Another potential explanation is the higher angiographic complexity of CTOs treated during that year (2020) that resulted in more adverse events.”

Previous results from the PROGRESS-CTO registry reported the difference in MACE between 2019 and 2020 was significant (P  = .01). “So, yes, the difference between those 2 years is significant,” Dr. Kostantinis said. However, he noted, the overall trend was not significant, with a P value of .194.

The risk profile of CTO PCI has improved “slowly” over time, said Kirk N. Garratt, MD, but “it’s not yet were it needs to be.”

He added, “Undoubtedly we’ve learned that, without any question, one method for minimizing the risk is to concentrate these cases in the hands of those that do many of them.” As the number of procedures fell – an “embedded” pandemic impact –“I worry that it’s inevitable that complication rates will tick up a bit,” said Dr. Garratt, director of the Center for Heart and Vascular Health at Christiana Care in Newark, Del.

By the same token, he added, this situation with regard to CTOs “parallels what’s happening elsewhere in interventional medicine and medicine broadly; numbers are increasing and we’re busy again. In most domains we’re not as busy as we had been prepandemic, and time will allow us to catch up.”

PROGRESS-CTO has received funding from the Joseph F. and Mary M. Fleischhacker Foundation and the Abbott Northwestern Hospital Foundation Innovation Grant.

Dr. Kostantinis has no disclosures. Dr. Garratt is an advisory board member for Abbott.

Technical and procedural success rates for chronic total occlusion percutaneous coronary intervention (CTO PCI) have increased steadily over the past 6 years, with rates of in-hospital major adverse cardiac events (MACE) declining to the 2%-or-lower range in that time.

“CTO PCI technical and procedural success rates are high and continue to increase over time,” Spyridon Kostantinis, MD said in presenting updated results from the international PROGRESS-CTO registry at the Society for Cardiovascular Angiography & Interventions annual scientific sessions.

Courtesy Minneapolis Heart Institute Foundation

“The overall success rate increased from 81.6% in 2018 to 88.1% in 2021,” he added. The overall incidence of in-hospital MACE in that time was “an acceptable” 2.1% without significant changes over that period.

The analysis examined clinical, angiographic and procedural outcomes of 10,249 CTO PCIs performed on 10,019 patients from 63 centers in nine countries during 2016-2021. PROGRESS-CTO stands for Prospective Global Registry for the Study of Chronic Total Occlusion Intervention.

The target CTOs were highly complex, he said, with an average J-CTO (multicenter CTO registry in Japan) score of 2.4 ± 1.3 and PROGRESS-CTO score of 1.3 ± 1. The most common CTO target vessel was the right coronary artery (53%), followed by the left anterior descending artery (26%) and the circumflex artery (19%).

The registry also tracked how characteristics of the CTO PCI procedures themselves changed over time. “The septal and the epicardial collaterals were the most common collaterals used for retrograde crossing, with a decreasing trend for epicardial collaterals over time,” said Dr. Kostantinis, a research fellow at the Minneapolis Heart Institute.

Septal collateral use varied between 64% and 69% of cases from 2016 to 2021, but the share of epicardial collaterals declined from 35% to 22% in that time.

“Over time, the range of antegrade wiring as the final successfully crossing strategy increased from 46% in 2016 to 61% in 2021, with a decrease in antegrade dissection and re-entry (ADR) and no change in the retrograde approach,” Dr. Kostantinis said. The percentage of procedures using ADR as the final crossing strategy declined from 18% in 2016 to 12% in 2021, with the rate of retrograde crossings peaking at 21% in 2016 but leveling off to 18% or 19% in the subsequent years.

“An increasing use in the efficiency of antegrade wiring may reflect an improvement in guidewire retrograde crossing as well as the increasing operator expertise,” Dr. Kostantinis said.

The study also found that contrast volume, air kerma radiation dose, fluoroscopy time, and procedure time declined steadily over time. “The potential explanations for these are using new x-ray systems as well as the use of intravascular imaging,” Dr. Kostantinis said.

In 2020, the rates of technical and procedural success, as well as the number of overall procedures, declined from 2019, while MACE rates ticked upward that year, probably because of the COVID-19 pandemic, Dr. Kostantinis said.

“It is true that we noticed a rise in MACE rate from 1.6% in 2019 to 2.7% in 2020, but in 2021 that decreased again to 1.7%,” he said in an interview. “Another potential explanation is the higher angiographic complexity of CTOs treated during that year (2020) that resulted in more adverse events.”

Previous results from the PROGRESS-CTO registry reported the difference in MACE between 2019 and 2020 was significant (P  = .01). “So, yes, the difference between those 2 years is significant,” Dr. Kostantinis said. However, he noted, the overall trend was not significant, with a P value of .194.

The risk profile of CTO PCI has improved “slowly” over time, said Kirk N. Garratt, MD, but “it’s not yet were it needs to be.”

He added, “Undoubtedly we’ve learned that, without any question, one method for minimizing the risk is to concentrate these cases in the hands of those that do many of them.” As the number of procedures fell – an “embedded” pandemic impact –“I worry that it’s inevitable that complication rates will tick up a bit,” said Dr. Garratt, director of the Center for Heart and Vascular Health at Christiana Care in Newark, Del.

By the same token, he added, this situation with regard to CTOs “parallels what’s happening elsewhere in interventional medicine and medicine broadly; numbers are increasing and we’re busy again. In most domains we’re not as busy as we had been prepandemic, and time will allow us to catch up.”

PROGRESS-CTO has received funding from the Joseph F. and Mary M. Fleischhacker Foundation and the Abbott Northwestern Hospital Foundation Innovation Grant.

Dr. Kostantinis has no disclosures. Dr. Garratt is an advisory board member for Abbott.

A meta-analysis of 71 randomized controlled trials has found the sweet spot for omega-3 fatty acid intake for lowering blood pressure: between 2 and 3 g/day. The investigators also reported that people at higher risk for cardiovascular disease may benefit from higher daily intake of omega-3.

The study analyzed data from randomized controlled trials involving 4,973 individuals and published from 1987 to 2020. Most of the trials used a combined supplementation of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Outcomes analysis involved the impact of combined DHA-EPA at 1, 2, 3, 4, or 5 grams daily on average changes in both systolic and diastolic BP and compared them with the placebo or control groups who had a combined intake of 0 g/day.

“We found a significant nonlinear dose-response relationship for both SBP and DBP models,” wrote senior author Xinzhi Li, MD, PhD, and colleagues. Dr. Li is program director of the school of pharmacy at Macau University of Science and Technology in Taipa, China.

Most of the trials included in the meta-analysis evaluated fish oil supplements, but a number also included EPA and DHA omega-3 fatty acids consumed in food.

When the investigators analyzed studies that used an average baseline SBP of greater than 130 mm Hg, they found that increasing omega-3 supplementation resulted in strong reductions in SBP and DBP, but not so with people with baseline SBP below 130 mm Hg.

Across the entire cohort, average SBP and DBP changes averaged –2.61 (95% confidence interval, –3.57 to –1.65) and –1.64 (95% CI, –2.29 to –0.99) mm Hg for people taking 2 g/d omega-3 supplements, and –2.61 (95% CI, –3.52 to –1.69) and –1.80 (95% CI, –2.38 to –1.23) for those on 3 g/d. The changes weren’t as robust in higher and lower intake groups overall.

However, the higher the BP, the more robust the reductions. For those with SBP greater than 130 mm Hg, 3 g/d resulted in an average change of –3.22 mm Hg (95% CI, –5.21 to –1.23). In the greater than 80 mm Hg DBP group, 3 g/d of omega-3 resulted in an average –3.81 mm Hg reduction (95% CI, –4.48 to –1.87). In patients with BP greater than 140/90 and hypertension, the reductions were even more pronounced. And in patients with BP greater than 130/80, omega-3 intake of 4-5 g/d had a greater impact than 2-3 g/d, although that benefit didn’t carry over in the greater than 140/90 group.

High cholesterol was also a factor in determining the benefits of omega-3 supplementation on BP, as Dr. Li and colleagues wrote that they found “an approximately linear relationship” between hyperlipidemia and SBP, “suggesting that increasing supplementation was associated with greater reductions in SBP.” Likewise, the study found stronger effects on BP in studies with an average patient age greater than 45 years.

In 2019, the Food and Drug Administration issued an update that consuming combined EPA and DHA may lower BP in the general population and reduce the risk of hypertension, but that “the evidence is inconsistent and inconclusive.”

©Clayton Hansen/iStockphoto

“However, while our study may add a layer of credible evidence, it does not meet the threshold to make an authorized health claim for omega-3 fatty acids in compliance with FDA regulations,” Dr. Li said.

The study addresses shortcomings of previous studies of omega-3 and BP and by identifying the optimal dose, Marc George, MRCP, PhD, of the Institute of Cardiovascular Science, University College, London, and Ajay Gupta, MD, PhD, of the William Harvey Research Institute at Queen Mary University, London, wrote in an accompanying editorial. “More importantly, they have demonstrated a significantly stronger and increased BP-lowering effect in higher cardiovascular risk groups, such as those with hypertension or hyperlipidemia.”

They also noted that the 2.61–mm Hg reduction in SBP the study reported is “likely to be significant” on a population level. “A 2–mm Hg reduction in SBP is estimated to reduce stroke mortality by 10% and deaths from ischemic heart disease by 7%,” they wrote. “Expressed another way, an analysis in the U.S. population using 2010 data estimates that a population-wide reduction in SBP of 2 mm Hg in those aged 45- 64 years would translate to 30,045 fewer cardiovascular events ([coronary heart disease], stroke, and heart failure).”

The investigators and editorialists have no disclosures.

A meta-analysis of 71 randomized controlled trials has found the sweet spot for omega-3 fatty acid intake for lowering blood pressure: between 2 and 3 g/day. The investigators also reported that people at higher risk for cardiovascular disease may benefit from higher daily intake of omega-3.

The study analyzed data from randomized controlled trials involving 4,973 individuals and published from 1987 to 2020. Most of the trials used a combined supplementation of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Outcomes analysis involved the impact of combined DHA-EPA at 1, 2, 3, 4, or 5 grams daily on average changes in both systolic and diastolic BP and compared them with the placebo or control groups who had a combined intake of 0 g/day.

“We found a significant nonlinear dose-response relationship for both SBP and DBP models,” wrote senior author Xinzhi Li, MD, PhD, and colleagues. Dr. Li is program director of the school of pharmacy at Macau University of Science and Technology in Taipa, China.

Most of the trials included in the meta-analysis evaluated fish oil supplements, but a number also included EPA and DHA omega-3 fatty acids consumed in food.

When the investigators analyzed studies that used an average baseline SBP of greater than 130 mm Hg, they found that increasing omega-3 supplementation resulted in strong reductions in SBP and DBP, but not so with people with baseline SBP below 130 mm Hg.

Across the entire cohort, average SBP and DBP changes averaged –2.61 (95% confidence interval, –3.57 to –1.65) and –1.64 (95% CI, –2.29 to –0.99) mm Hg for people taking 2 g/d omega-3 supplements, and –2.61 (95% CI, –3.52 to –1.69) and –1.80 (95% CI, –2.38 to –1.23) for those on 3 g/d. The changes weren’t as robust in higher and lower intake groups overall.

However, the higher the BP, the more robust the reductions. For those with SBP greater than 130 mm Hg, 3 g/d resulted in an average change of –3.22 mm Hg (95% CI, –5.21 to –1.23). In the greater than 80 mm Hg DBP group, 3 g/d of omega-3 resulted in an average –3.81 mm Hg reduction (95% CI, –4.48 to –1.87). In patients with BP greater than 140/90 and hypertension, the reductions were even more pronounced. And in patients with BP greater than 130/80, omega-3 intake of 4-5 g/d had a greater impact than 2-3 g/d, although that benefit didn’t carry over in the greater than 140/90 group.

High cholesterol was also a factor in determining the benefits of omega-3 supplementation on BP, as Dr. Li and colleagues wrote that they found “an approximately linear relationship” between hyperlipidemia and SBP, “suggesting that increasing supplementation was associated with greater reductions in SBP.” Likewise, the study found stronger effects on BP in studies with an average patient age greater than 45 years.

In 2019, the Food and Drug Administration issued an update that consuming combined EPA and DHA may lower BP in the general population and reduce the risk of hypertension, but that “the evidence is inconsistent and inconclusive.”

©Clayton Hansen/iStockphoto

“However, while our study may add a layer of credible evidence, it does not meet the threshold to make an authorized health claim for omega-3 fatty acids in compliance with FDA regulations,” Dr. Li said.

The study addresses shortcomings of previous studies of omega-3 and BP and by identifying the optimal dose, Marc George, MRCP, PhD, of the Institute of Cardiovascular Science, University College, London, and Ajay Gupta, MD, PhD, of the William Harvey Research Institute at Queen Mary University, London, wrote in an accompanying editorial. “More importantly, they have demonstrated a significantly stronger and increased BP-lowering effect in higher cardiovascular risk groups, such as those with hypertension or hyperlipidemia.”

They also noted that the 2.61–mm Hg reduction in SBP the study reported is “likely to be significant” on a population level. “A 2–mm Hg reduction in SBP is estimated to reduce stroke mortality by 10% and deaths from ischemic heart disease by 7%,” they wrote. “Expressed another way, an analysis in the U.S. population using 2010 data estimates that a population-wide reduction in SBP of 2 mm Hg in those aged 45- 64 years would translate to 30,045 fewer cardiovascular events ([coronary heart disease], stroke, and heart failure).”

The investigators and editorialists have no disclosures.

A meta-analysis of 71 randomized controlled trials has found the sweet spot for omega-3 fatty acid intake for lowering blood pressure: between 2 and 3 g/day. The investigators also reported that people at higher risk for cardiovascular disease may benefit from higher daily intake of omega-3.

The study analyzed data from randomized controlled trials involving 4,973 individuals and published from 1987 to 2020. Most of the trials used a combined supplementation of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Outcomes analysis involved the impact of combined DHA-EPA at 1, 2, 3, 4, or 5 grams daily on average changes in both systolic and diastolic BP and compared them with the placebo or control groups who had a combined intake of 0 g/day.

“We found a significant nonlinear dose-response relationship for both SBP and DBP models,” wrote senior author Xinzhi Li, MD, PhD, and colleagues. Dr. Li is program director of the school of pharmacy at Macau University of Science and Technology in Taipa, China.

Most of the trials included in the meta-analysis evaluated fish oil supplements, but a number also included EPA and DHA omega-3 fatty acids consumed in food.

When the investigators analyzed studies that used an average baseline SBP of greater than 130 mm Hg, they found that increasing omega-3 supplementation resulted in strong reductions in SBP and DBP, but not so with people with baseline SBP below 130 mm Hg.

Across the entire cohort, average SBP and DBP changes averaged –2.61 (95% confidence interval, –3.57 to –1.65) and –1.64 (95% CI, –2.29 to –0.99) mm Hg for people taking 2 g/d omega-3 supplements, and –2.61 (95% CI, –3.52 to –1.69) and –1.80 (95% CI, –2.38 to –1.23) for those on 3 g/d. The changes weren’t as robust in higher and lower intake groups overall.

However, the higher the BP, the more robust the reductions. For those with SBP greater than 130 mm Hg, 3 g/d resulted in an average change of –3.22 mm Hg (95% CI, –5.21 to –1.23). In the greater than 80 mm Hg DBP group, 3 g/d of omega-3 resulted in an average –3.81 mm Hg reduction (95% CI, –4.48 to –1.87). In patients with BP greater than 140/90 and hypertension, the reductions were even more pronounced. And in patients with BP greater than 130/80, omega-3 intake of 4-5 g/d had a greater impact than 2-3 g/d, although that benefit didn’t carry over in the greater than 140/90 group.

High cholesterol was also a factor in determining the benefits of omega-3 supplementation on BP, as Dr. Li and colleagues wrote that they found “an approximately linear relationship” between hyperlipidemia and SBP, “suggesting that increasing supplementation was associated with greater reductions in SBP.” Likewise, the study found stronger effects on BP in studies with an average patient age greater than 45 years.

In 2019, the Food and Drug Administration issued an update that consuming combined EPA and DHA may lower BP in the general population and reduce the risk of hypertension, but that “the evidence is inconsistent and inconclusive.”

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“However, while our study may add a layer of credible evidence, it does not meet the threshold to make an authorized health claim for omega-3 fatty acids in compliance with FDA regulations,” Dr. Li said.

The study addresses shortcomings of previous studies of omega-3 and BP and by identifying the optimal dose, Marc George, MRCP, PhD, of the Institute of Cardiovascular Science, University College, London, and Ajay Gupta, MD, PhD, of the William Harvey Research Institute at Queen Mary University, London, wrote in an accompanying editorial. “More importantly, they have demonstrated a significantly stronger and increased BP-lowering effect in higher cardiovascular risk groups, such as those with hypertension or hyperlipidemia.”

They also noted that the 2.61–mm Hg reduction in SBP the study reported is “likely to be significant” on a population level. “A 2–mm Hg reduction in SBP is estimated to reduce stroke mortality by 10% and deaths from ischemic heart disease by 7%,” they wrote. “Expressed another way, an analysis in the U.S. population using 2010 data estimates that a population-wide reduction in SBP of 2 mm Hg in those aged 45- 64 years would translate to 30,045 fewer cardiovascular events ([coronary heart disease], stroke, and heart failure).”

The investigators and editorialists have no disclosures.