Obesity

Alcohol intake and obesity are independent risk factors for morbidity among patients with cirrhosis, but the two factors do not appear to combine for a stronger effect (supra-additive), according to conclusions from a new analysis of participants in the UK Biobank study published in Hepatology.

Nikada/iStockphoto

The researchers analyzed data from the records of 489,285 individuals in the UK Biobank from May 2006 to July 2010. Researchers defined morbidity as first-time hospitalization for cirrhosis and calculated the cumulative incidence at 10 years among included individuals. The researchers defined obesity as body mass index of at least 30 kg/m² and healthy BMI as 20-25. Safe drinking was defined as having fewer than 22 units per week for males or fewer than 15 units for females, harmful drinking was defined as more than 50 units per week for males or more than 35 for females, and hazardous drinking was defined as 22-49 units per week for males and 15-35 for females. The researchers assumed 2 units in a pint of beer or cider, 1.5 units in a glass of wine and “other” drinks, and 1 unit per measure of spirits.

The mean age was 57.0 years, and 45.4% were male. Overall, 24.3% of subjects were obese, 76.5% had safe levels of alcohol consumption, 19.7% had hazardous alcohol consumption, and 3.8% were classified as harmful drinkers.

Overall, harmful drinking was associated with 5.0 times the 10-year cumulative incidence of cirrhosis morbidity among harmful versus safe drinkers (1.51% vs. 0.30%). However, among those with a healthy BMI, harmful was associated with an 8.6-fold increase of cirrhosis morbidity, compared with safe drinkers (1.38% vs. 0.16%). On the other hand, obese patients with harmful drinking habits had a 3.6-fold increase over obese safe drinkers (1.99% vs. 0.56%).

When looked at according to BMI, 10-year cumulative incidence was 3.1 times higher in patients who with obesity versus those who with healthy BMI (0.65% vs. 0.21%). This varied strongly with drinking: Safe drinkers who with obesity had 3.7 times the incidence, compared with safe drinkers with healthy BMI (0.56% vs. 0.15%), and harmful drinkers who were obese had a 1.4-fold increased incidence, compared with harmful drinkers of a healthy weight (1.99% vs. 1.38%).

“In contrast to some previous studies, we found little evidence that [obesity and drinking] interacted supra-additively to modulate the risk of cirrhosis morbidity,” the authors wrote. “On the contrary, through a relative risk lens, the association between alcohol intake and cirrhosis morbidity was actually weaker for individuals with obesity than for individuals with a healthy BMI (indicating a sub-additive relationship).”

Fine-Gray regression modelling seemed to confirm that the relationship was sub-additive. After controlling for various factors, researchers found that harmful drinkers had a 6.84-fold increased risk at a healthy BMI, while the risk was only 3.14 times higher in obese patients (P _interaction = 3.53 x 10^–6).

The findings contradict previous studies, which suggested that high BMI and harmful drinking combined may produce much higher risk than either factor alone, possibly because obesity might “prime” the liver to be vulnerable to the effects of alcohol.

The authors suggest that the differences in findings may be caused by methodological limitations of the earlier studies, such as reliance on self-reported BMI data; small sample sizes and a relatively small number of liver events among those with obesity and harmful alcohol consumption; and the failure to use a competing risk perspective. The latter is relevant because alcohol and obesity are risk factors for other potentially fatal health conditions.

But the current study is not without its own limitations, according to Nancy Reau, MD, who is a professor of medicine and chair of hepatology at Rush University Medical Center in Chicago, who was asked to comment on the findings. Dr. Reau pointed out that the authors found the highest frequency of complications was observed in people with harmful alcohol intake whose BMI was under 20. That group may be composed of subjects with sarcopenia and end-stage liver disease from alcohol use. “Until you can separate these from the truly healthy BMI but [with harmful alcohol use], you can’t interpret this arm,” said Dr. Reau.

Beyond that, the researchers found increased risks of harm among individuals regardless of BMI, but the risks were highest among those with BMI over 30. Dr. Reau posited that the frequency might have been significantly greater at BMI higher than 35 and 40, but the researchers didn’t report results among these subcategories.

“In no way does this suggest that we need to ignore alcohol use in our patients with NAFLD [nonalcoholic fatty liver disease] or [nonalcoholic steatohepatitis],” said Dr. Reau.

In fact, she pointed to a figure in the paper that showed the highest increase in frequency among those with harmful alcohol use and obesity. “It’s clear that both conditions are much more serious than just obesity alone. It is incredibly important to council our NAFLD patients on appropriate alcohol use, [since] problematic drinking increases their risk. Problematic drinking remains a serious problem and increased awareness and linking to addiction services is important,” she said.

The authors reported no conflicts of interest. Dr. Reau has no relevant financial disclosures.

Alcohol intake and obesity are independent risk factors for morbidity among patients with cirrhosis, but the two factors do not appear to combine for a stronger effect (supra-additive), according to conclusions from a new analysis of participants in the UK Biobank study published in Hepatology.

Nikada/iStockphoto

The researchers analyzed data from the records of 489,285 individuals in the UK Biobank from May 2006 to July 2010. Researchers defined morbidity as first-time hospitalization for cirrhosis and calculated the cumulative incidence at 10 years among included individuals. The researchers defined obesity as body mass index of at least 30 kg/m² and healthy BMI as 20-25. Safe drinking was defined as having fewer than 22 units per week for males or fewer than 15 units for females, harmful drinking was defined as more than 50 units per week for males or more than 35 for females, and hazardous drinking was defined as 22-49 units per week for males and 15-35 for females. The researchers assumed 2 units in a pint of beer or cider, 1.5 units in a glass of wine and “other” drinks, and 1 unit per measure of spirits.

The mean age was 57.0 years, and 45.4% were male. Overall, 24.3% of subjects were obese, 76.5% had safe levels of alcohol consumption, 19.7% had hazardous alcohol consumption, and 3.8% were classified as harmful drinkers.

Overall, harmful drinking was associated with 5.0 times the 10-year cumulative incidence of cirrhosis morbidity among harmful versus safe drinkers (1.51% vs. 0.30%). However, among those with a healthy BMI, harmful was associated with an 8.6-fold increase of cirrhosis morbidity, compared with safe drinkers (1.38% vs. 0.16%). On the other hand, obese patients with harmful drinking habits had a 3.6-fold increase over obese safe drinkers (1.99% vs. 0.56%).

When looked at according to BMI, 10-year cumulative incidence was 3.1 times higher in patients who with obesity versus those who with healthy BMI (0.65% vs. 0.21%). This varied strongly with drinking: Safe drinkers who with obesity had 3.7 times the incidence, compared with safe drinkers with healthy BMI (0.56% vs. 0.15%), and harmful drinkers who were obese had a 1.4-fold increased incidence, compared with harmful drinkers of a healthy weight (1.99% vs. 1.38%).

“In contrast to some previous studies, we found little evidence that [obesity and drinking] interacted supra-additively to modulate the risk of cirrhosis morbidity,” the authors wrote. “On the contrary, through a relative risk lens, the association between alcohol intake and cirrhosis morbidity was actually weaker for individuals with obesity than for individuals with a healthy BMI (indicating a sub-additive relationship).”

Fine-Gray regression modelling seemed to confirm that the relationship was sub-additive. After controlling for various factors, researchers found that harmful drinkers had a 6.84-fold increased risk at a healthy BMI, while the risk was only 3.14 times higher in obese patients (P _interaction = 3.53 x 10^–6).

The findings contradict previous studies, which suggested that high BMI and harmful drinking combined may produce much higher risk than either factor alone, possibly because obesity might “prime” the liver to be vulnerable to the effects of alcohol.

The authors suggest that the differences in findings may be caused by methodological limitations of the earlier studies, such as reliance on self-reported BMI data; small sample sizes and a relatively small number of liver events among those with obesity and harmful alcohol consumption; and the failure to use a competing risk perspective. The latter is relevant because alcohol and obesity are risk factors for other potentially fatal health conditions.

But the current study is not without its own limitations, according to Nancy Reau, MD, who is a professor of medicine and chair of hepatology at Rush University Medical Center in Chicago, who was asked to comment on the findings. Dr. Reau pointed out that the authors found the highest frequency of complications was observed in people with harmful alcohol intake whose BMI was under 20. That group may be composed of subjects with sarcopenia and end-stage liver disease from alcohol use. “Until you can separate these from the truly healthy BMI but [with harmful alcohol use], you can’t interpret this arm,” said Dr. Reau.

Beyond that, the researchers found increased risks of harm among individuals regardless of BMI, but the risks were highest among those with BMI over 30. Dr. Reau posited that the frequency might have been significantly greater at BMI higher than 35 and 40, but the researchers didn’t report results among these subcategories.

“In no way does this suggest that we need to ignore alcohol use in our patients with NAFLD [nonalcoholic fatty liver disease] or [nonalcoholic steatohepatitis],” said Dr. Reau.

In fact, she pointed to a figure in the paper that showed the highest increase in frequency among those with harmful alcohol use and obesity. “It’s clear that both conditions are much more serious than just obesity alone. It is incredibly important to council our NAFLD patients on appropriate alcohol use, [since] problematic drinking increases their risk. Problematic drinking remains a serious problem and increased awareness and linking to addiction services is important,” she said.

The authors reported no conflicts of interest. Dr. Reau has no relevant financial disclosures.

Alcohol intake and obesity are independent risk factors for morbidity among patients with cirrhosis, but the two factors do not appear to combine for a stronger effect (supra-additive), according to conclusions from a new analysis of participants in the UK Biobank study published in Hepatology.

Nikada/iStockphoto

The researchers analyzed data from the records of 489,285 individuals in the UK Biobank from May 2006 to July 2010. Researchers defined morbidity as first-time hospitalization for cirrhosis and calculated the cumulative incidence at 10 years among included individuals. The researchers defined obesity as body mass index of at least 30 kg/m² and healthy BMI as 20-25. Safe drinking was defined as having fewer than 22 units per week for males or fewer than 15 units for females, harmful drinking was defined as more than 50 units per week for males or more than 35 for females, and hazardous drinking was defined as 22-49 units per week for males and 15-35 for females. The researchers assumed 2 units in a pint of beer or cider, 1.5 units in a glass of wine and “other” drinks, and 1 unit per measure of spirits.

The mean age was 57.0 years, and 45.4% were male. Overall, 24.3% of subjects were obese, 76.5% had safe levels of alcohol consumption, 19.7% had hazardous alcohol consumption, and 3.8% were classified as harmful drinkers.

Overall, harmful drinking was associated with 5.0 times the 10-year cumulative incidence of cirrhosis morbidity among harmful versus safe drinkers (1.51% vs. 0.30%). However, among those with a healthy BMI, harmful was associated with an 8.6-fold increase of cirrhosis morbidity, compared with safe drinkers (1.38% vs. 0.16%). On the other hand, obese patients with harmful drinking habits had a 3.6-fold increase over obese safe drinkers (1.99% vs. 0.56%).

When looked at according to BMI, 10-year cumulative incidence was 3.1 times higher in patients who with obesity versus those who with healthy BMI (0.65% vs. 0.21%). This varied strongly with drinking: Safe drinkers who with obesity had 3.7 times the incidence, compared with safe drinkers with healthy BMI (0.56% vs. 0.15%), and harmful drinkers who were obese had a 1.4-fold increased incidence, compared with harmful drinkers of a healthy weight (1.99% vs. 1.38%).

“In contrast to some previous studies, we found little evidence that [obesity and drinking] interacted supra-additively to modulate the risk of cirrhosis morbidity,” the authors wrote. “On the contrary, through a relative risk lens, the association between alcohol intake and cirrhosis morbidity was actually weaker for individuals with obesity than for individuals with a healthy BMI (indicating a sub-additive relationship).”

Fine-Gray regression modelling seemed to confirm that the relationship was sub-additive. After controlling for various factors, researchers found that harmful drinkers had a 6.84-fold increased risk at a healthy BMI, while the risk was only 3.14 times higher in obese patients (P _interaction = 3.53 x 10^–6).

The findings contradict previous studies, which suggested that high BMI and harmful drinking combined may produce much higher risk than either factor alone, possibly because obesity might “prime” the liver to be vulnerable to the effects of alcohol.

The authors suggest that the differences in findings may be caused by methodological limitations of the earlier studies, such as reliance on self-reported BMI data; small sample sizes and a relatively small number of liver events among those with obesity and harmful alcohol consumption; and the failure to use a competing risk perspective. The latter is relevant because alcohol and obesity are risk factors for other potentially fatal health conditions.

But the current study is not without its own limitations, according to Nancy Reau, MD, who is a professor of medicine and chair of hepatology at Rush University Medical Center in Chicago, who was asked to comment on the findings. Dr. Reau pointed out that the authors found the highest frequency of complications was observed in people with harmful alcohol intake whose BMI was under 20. That group may be composed of subjects with sarcopenia and end-stage liver disease from alcohol use. “Until you can separate these from the truly healthy BMI but [with harmful alcohol use], you can’t interpret this arm,” said Dr. Reau.

Beyond that, the researchers found increased risks of harm among individuals regardless of BMI, but the risks were highest among those with BMI over 30. Dr. Reau posited that the frequency might have been significantly greater at BMI higher than 35 and 40, but the researchers didn’t report results among these subcategories.

“In no way does this suggest that we need to ignore alcohol use in our patients with NAFLD [nonalcoholic fatty liver disease] or [nonalcoholic steatohepatitis],” said Dr. Reau.

In fact, she pointed to a figure in the paper that showed the highest increase in frequency among those with harmful alcohol use and obesity. “It’s clear that both conditions are much more serious than just obesity alone. It is incredibly important to council our NAFLD patients on appropriate alcohol use, [since] problematic drinking increases their risk. Problematic drinking remains a serious problem and increased awareness and linking to addiction services is important,” she said.

The authors reported no conflicts of interest. Dr. Reau has no relevant financial disclosures.

Patients with type 2 diabetes who underwent bariatric surgery commonly experienced remission, but there was little increase in rates of remission above a threshold of 20% total weight loss (TWL), according to a retrospective analysis of 5,928 patients with diabetes in an integrated health care system in Southern California.

The findings should reassure physicians and patients that surgery will be beneficial, according to lead author Karen Coleman, PhD, professor of health systems science at Kaiser Permanente Southern California.

Dr. Coleman has heard from many physicians saying they recommend against bariatric surgery because of concerns that patients gain weight back and therefore won’t get a long-term benefit, but this is not supported by the literature. “Hundreds of articles at this point show that this simply is not true. In addition, providers seem to think about bariatric surgery as an ‘all or none’ treatment. Gaining any weight back means that patients ‘fail.’ Weight regain is a normal part of massive weight loss; however, maintaining a certain amount of weight loss still provides benefits for patients, especially those with cardiovascular conditions like diabetes,” said Dr. Coleman.

Most patients lose 20%-30% of their body weight after bariatric surgery, but they don’t have to lose that much to see an improvement in type 2 diabetes (T2D). In addition, if patients lose that much or more, and then gain some weight back, it doesn’t eliminate benefit. “Although we did not measure weight regain, a corollary statement is that patients can regain some of the weight they lose, but if they stay around 20% of their total weight lost, then their diabetes still remits,” said Dr. Coleman.

In the past, some standards to treat severe weight loss and metabolic disease called for 50% or more TWL. More recent standards target a 30% threshold. “We want physicians to understand that they need to have more reasonable expectations of weight loss with surgery and that these reasonable expectations still result in profound improvements in cardiovascular risk, death, and quality of life. A 20% TWL threshold is easier for these patients to get to, and like other patients, they still get the benefit. So even if these patients may not have as much weight loss they can still benefit from the surgery for their diabetes,” Dr. Coleman added.

Physicians have long assumed that the effect of bariatric surgery on T2D remission is tied to weight loss, but this has been tested only recently. Previous studies found a link and suggested that 25% TWL may be the needed threshold, but more data are needed, especially for sleeve gastrectomy.

In the current study, published in Diabetes Care, 73% of patients were female. Mean age was 49.8 years, and mean body mass index was 43.8 kg/m². Fifty-seven percent underwent Roux-en-Y gastric bypass (RYGB). Follow-up averaged 5.9 years. Overall, 71% of patients had an initial remission of their diabetes (72% RYGB, 70% sleeve). The average time to remission was 1.0 years. The researchers categorized participants by percentage TWL. Compared with the 0%-5% group, each 5% increase in TWL was linked with a greater likelihood of achieving remission: 5%-10%, hazard ratio 1.22 (P = .23); 10%-15%, HR 1.97 (95% confidence interval, 1.47-2.64); 15%-20%, HR 2.33 (95% CI, 1.74-3.11); 20%-25%, HR 2.81 (95% CI, 2.11-3.75); 25%-30%, HR 2.88 (95% CI, 2.16-3.83); >30%, HR, 2.92 (95% CI, 2.19-3.88). Categories above 25% TWL had remission rates similar to those of the 20%-25% group. Those in the over 20% TWL group who were taking insulin at the time of surgery had better odds of T2D remission than did those in the 0%-5% TWL group who were not taking insulin (HR, 2.18; 95% CI, 1.64-2.88).

The study is a useful addition to the literature on the topic, according to W. Timothy Garvey, MD, director of the diabetes research center at the University of Alabama at Birmingham. “This tends to quantify it a little bit more than people might have had before,” he said.

MDedge News

Dr. Garvey noted that there were wide error bars in the outcomes grouped by TWL, and suggested that individual results of surgery may vary widely. “There are plenty of individuals in each of those bins that will require more weight loss for remission or less weight loss. That’s just the average of people in that weight loss category. So if a clinician is going to use this information, they need to take it with a grain of salt and realize that, just because they reach that 20% weight loss threshold, it doesn’t mean that their patient is going to go into remission. As a loose guide, as something to shoot for, I think this is valuable,” he added.

Dr. Coleman recommended that physicians not wait too long to suggest bariatric surgery, since patients are likely to have better outcomes if they are healthier going in. “Bariatric surgery is by far the most effective long-term treatment we have for severe obesity and we should be treating it as a secondary prevention strategy, not a last resort to save people’s lives. Bariatric surgery cannot regrow the cells in the pancreas that make insulin. So if we wait until patients with type 2 diabetes are insulin dependent to offer bariatric surgery, we are compromising the great effect surgery can have for them,” said Dr. Coleman.

Patients with type 2 diabetes who underwent bariatric surgery commonly experienced remission, but there was little increase in rates of remission above a threshold of 20% total weight loss (TWL), according to a retrospective analysis of 5,928 patients with diabetes in an integrated health care system in Southern California.

The findings should reassure physicians and patients that surgery will be beneficial, according to lead author Karen Coleman, PhD, professor of health systems science at Kaiser Permanente Southern California.

Dr. Coleman has heard from many physicians saying they recommend against bariatric surgery because of concerns that patients gain weight back and therefore won’t get a long-term benefit, but this is not supported by the literature. “Hundreds of articles at this point show that this simply is not true. In addition, providers seem to think about bariatric surgery as an ‘all or none’ treatment. Gaining any weight back means that patients ‘fail.’ Weight regain is a normal part of massive weight loss; however, maintaining a certain amount of weight loss still provides benefits for patients, especially those with cardiovascular conditions like diabetes,” said Dr. Coleman.

Most patients lose 20%-30% of their body weight after bariatric surgery, but they don’t have to lose that much to see an improvement in type 2 diabetes (T2D). In addition, if patients lose that much or more, and then gain some weight back, it doesn’t eliminate benefit. “Although we did not measure weight regain, a corollary statement is that patients can regain some of the weight they lose, but if they stay around 20% of their total weight lost, then their diabetes still remits,” said Dr. Coleman.

In the past, some standards to treat severe weight loss and metabolic disease called for 50% or more TWL. More recent standards target a 30% threshold. “We want physicians to understand that they need to have more reasonable expectations of weight loss with surgery and that these reasonable expectations still result in profound improvements in cardiovascular risk, death, and quality of life. A 20% TWL threshold is easier for these patients to get to, and like other patients, they still get the benefit. So even if these patients may not have as much weight loss they can still benefit from the surgery for their diabetes,” Dr. Coleman added.

Physicians have long assumed that the effect of bariatric surgery on T2D remission is tied to weight loss, but this has been tested only recently. Previous studies found a link and suggested that 25% TWL may be the needed threshold, but more data are needed, especially for sleeve gastrectomy.

In the current study, published in Diabetes Care, 73% of patients were female. Mean age was 49.8 years, and mean body mass index was 43.8 kg/m². Fifty-seven percent underwent Roux-en-Y gastric bypass (RYGB). Follow-up averaged 5.9 years. Overall, 71% of patients had an initial remission of their diabetes (72% RYGB, 70% sleeve). The average time to remission was 1.0 years. The researchers categorized participants by percentage TWL. Compared with the 0%-5% group, each 5% increase in TWL was linked with a greater likelihood of achieving remission: 5%-10%, hazard ratio 1.22 (P = .23); 10%-15%, HR 1.97 (95% confidence interval, 1.47-2.64); 15%-20%, HR 2.33 (95% CI, 1.74-3.11); 20%-25%, HR 2.81 (95% CI, 2.11-3.75); 25%-30%, HR 2.88 (95% CI, 2.16-3.83); >30%, HR, 2.92 (95% CI, 2.19-3.88). Categories above 25% TWL had remission rates similar to those of the 20%-25% group. Those in the over 20% TWL group who were taking insulin at the time of surgery had better odds of T2D remission than did those in the 0%-5% TWL group who were not taking insulin (HR, 2.18; 95% CI, 1.64-2.88).

The study is a useful addition to the literature on the topic, according to W. Timothy Garvey, MD, director of the diabetes research center at the University of Alabama at Birmingham. “This tends to quantify it a little bit more than people might have had before,” he said.

MDedge News

Dr. Garvey noted that there were wide error bars in the outcomes grouped by TWL, and suggested that individual results of surgery may vary widely. “There are plenty of individuals in each of those bins that will require more weight loss for remission or less weight loss. That’s just the average of people in that weight loss category. So if a clinician is going to use this information, they need to take it with a grain of salt and realize that, just because they reach that 20% weight loss threshold, it doesn’t mean that their patient is going to go into remission. As a loose guide, as something to shoot for, I think this is valuable,” he added.

Dr. Coleman recommended that physicians not wait too long to suggest bariatric surgery, since patients are likely to have better outcomes if they are healthier going in. “Bariatric surgery is by far the most effective long-term treatment we have for severe obesity and we should be treating it as a secondary prevention strategy, not a last resort to save people’s lives. Bariatric surgery cannot regrow the cells in the pancreas that make insulin. So if we wait until patients with type 2 diabetes are insulin dependent to offer bariatric surgery, we are compromising the great effect surgery can have for them,” said Dr. Coleman.

Patients with type 2 diabetes who underwent bariatric surgery commonly experienced remission, but there was little increase in rates of remission above a threshold of 20% total weight loss (TWL), according to a retrospective analysis of 5,928 patients with diabetes in an integrated health care system in Southern California.

The findings should reassure physicians and patients that surgery will be beneficial, according to lead author Karen Coleman, PhD, professor of health systems science at Kaiser Permanente Southern California.

Dr. Coleman has heard from many physicians saying they recommend against bariatric surgery because of concerns that patients gain weight back and therefore won’t get a long-term benefit, but this is not supported by the literature. “Hundreds of articles at this point show that this simply is not true. In addition, providers seem to think about bariatric surgery as an ‘all or none’ treatment. Gaining any weight back means that patients ‘fail.’ Weight regain is a normal part of massive weight loss; however, maintaining a certain amount of weight loss still provides benefits for patients, especially those with cardiovascular conditions like diabetes,” said Dr. Coleman.

Most patients lose 20%-30% of their body weight after bariatric surgery, but they don’t have to lose that much to see an improvement in type 2 diabetes (T2D). In addition, if patients lose that much or more, and then gain some weight back, it doesn’t eliminate benefit. “Although we did not measure weight regain, a corollary statement is that patients can regain some of the weight they lose, but if they stay around 20% of their total weight lost, then their diabetes still remits,” said Dr. Coleman.

In the past, some standards to treat severe weight loss and metabolic disease called for 50% or more TWL. More recent standards target a 30% threshold. “We want physicians to understand that they need to have more reasonable expectations of weight loss with surgery and that these reasonable expectations still result in profound improvements in cardiovascular risk, death, and quality of life. A 20% TWL threshold is easier for these patients to get to, and like other patients, they still get the benefit. So even if these patients may not have as much weight loss they can still benefit from the surgery for their diabetes,” Dr. Coleman added.

Physicians have long assumed that the effect of bariatric surgery on T2D remission is tied to weight loss, but this has been tested only recently. Previous studies found a link and suggested that 25% TWL may be the needed threshold, but more data are needed, especially for sleeve gastrectomy.

In the current study, published in Diabetes Care, 73% of patients were female. Mean age was 49.8 years, and mean body mass index was 43.8 kg/m². Fifty-seven percent underwent Roux-en-Y gastric bypass (RYGB). Follow-up averaged 5.9 years. Overall, 71% of patients had an initial remission of their diabetes (72% RYGB, 70% sleeve). The average time to remission was 1.0 years. The researchers categorized participants by percentage TWL. Compared with the 0%-5% group, each 5% increase in TWL was linked with a greater likelihood of achieving remission: 5%-10%, hazard ratio 1.22 (P = .23); 10%-15%, HR 1.97 (95% confidence interval, 1.47-2.64); 15%-20%, HR 2.33 (95% CI, 1.74-3.11); 20%-25%, HR 2.81 (95% CI, 2.11-3.75); 25%-30%, HR 2.88 (95% CI, 2.16-3.83); >30%, HR, 2.92 (95% CI, 2.19-3.88). Categories above 25% TWL had remission rates similar to those of the 20%-25% group. Those in the over 20% TWL group who were taking insulin at the time of surgery had better odds of T2D remission than did those in the 0%-5% TWL group who were not taking insulin (HR, 2.18; 95% CI, 1.64-2.88).

The study is a useful addition to the literature on the topic, according to W. Timothy Garvey, MD, director of the diabetes research center at the University of Alabama at Birmingham. “This tends to quantify it a little bit more than people might have had before,” he said.

MDedge News

Dr. Garvey noted that there were wide error bars in the outcomes grouped by TWL, and suggested that individual results of surgery may vary widely. “There are plenty of individuals in each of those bins that will require more weight loss for remission or less weight loss. That’s just the average of people in that weight loss category. So if a clinician is going to use this information, they need to take it with a grain of salt and realize that, just because they reach that 20% weight loss threshold, it doesn’t mean that their patient is going to go into remission. As a loose guide, as something to shoot for, I think this is valuable,” he added.

Dr. Coleman recommended that physicians not wait too long to suggest bariatric surgery, since patients are likely to have better outcomes if they are healthier going in. “Bariatric surgery is by far the most effective long-term treatment we have for severe obesity and we should be treating it as a secondary prevention strategy, not a last resort to save people’s lives. Bariatric surgery cannot regrow the cells in the pancreas that make insulin. So if we wait until patients with type 2 diabetes are insulin dependent to offer bariatric surgery, we are compromising the great effect surgery can have for them,” said Dr. Coleman.

If you have a gut feeling something is preventing you from losing as much weight as you would like to, you could be right.

Researchers found that the gut microbiome – the bacteria that help digest food and absorb nutrients in the intestines – can influence attempts at weight loss.

They identified genes within these bacteria that determine how quickly the bacteria grow, how well people can take advantage of nutrients in food, and whether starches and fiber, in particular, get broken down into sugars too quickly to aid weight loss.

“Some people have a harder time losing weight than others,” study author Sean Gibbons, PhD, told this news organization. “For example, some people are able to control their weight through basic lifestyle interventions, while others may not.”

Furthermore, it is difficult to predict which individuals will respond to changes in diet or exercise and who might require more intense strategies.

The study, which was published online September 14 in mSystems, a journal of the American Society for Microbiology, could bring us closer to an answer.

“We’ve identified specific genetic signatures in the gut microbiome that were predictive of weight loss response in a small cohort of patients following a healthy lifestyle intervention,” explained Dr. Gibbons, Washington Research Foundation distinguished investigator and assistant professor at the Institute for Systems Biology in Seattle.
 

Weight loss takes guts?

Differences in 31 functional genes emerged from the gut microbiome in 48 people who lost 1% or more of their weight each month compared with 57 others whose weight remained the same. These findings came from stool samples taken 6 to 12 months after people started a commercial weight loss coaching program.

In contrast, lead author Christian Diener, PhD, also of the Institute for Systems Biology, and colleagues found only one factor in the blood that differed between the weight loss and weight maintenance groups. (They specifically evaluated proteins associated with obesity in the blood and genetic data from stool samples in a subset of 25 participants.)

Their findings align with previous research showing different types of bacteria in the gut microbiome can affect the success of weight loss interventions, but they took it a step further to determine how this works.

“We know that the gut microbiome plays an important role in weight management and can also influence a response to weight loss interventions. However, specific gut microbiome features that can explain this observation in more detail are still to be discovered,” Hana Kahleova, MD, PhD, MBA, director of clinical research at the Physicians Committee for Responsible Medicine in Washington, D.C., told this news organization when asked for comment.
 

Good versus bad players

On the plus side, genes that help bacteria grow more rapidly were associated with weight loss. These bacteria take more of the nutrients in food for themselves, leaving less to go toward human weight gain compared with slower growing bacteria.

In fact, prior evidence points to a particular gut bacteria, Prevotella, as being beneficial for weight loss. “In our study,” Dr. Gibbons said, “we found that some of the fastest-growing microbes in the weight-loss responder group were from the genus Prevotella.”

On the other hand, bacteria that produce more enzymes to breakdown starches or fiber quickly into sugars, for example, were linked with making people more resistant to weight loss.

“By understanding these functional patterns, we may one day be able to engineer resistant microbiomes to be more permissive to weight loss,” Dr. Gibbons said.

Dr. Kahleova agreed. “These findings expand our understanding of the specific features of the gut microbiome that play a role in weight loss,” she said.
 

Moving beyond BMI

Interestingly, the researchers controlled for baseline body mass index (BMI) and other factors that could affect weight loss. People who start off with a higher BMI tend to lose more weight than others, a phenomenon known as ‘regression to the mean.” This factor confounded some earlier research, they noted.

“The vast majority of features associated with weight loss, independent of BMI, were functional genes within the gut metagenome,” Dr. Gibbons said.

“This tells us that the gut microbiome is an important modulator of weight loss, independent of your underlying metabolic health state, baseline diet, or BMI status.”

“This study described several metagenomic functional features that were associated with weight loss after controlling for potential confounders, such as age, sex, and baseline BMI,” Dr. Kahleova said. “These findings ... may help optimize the weight-loss protocols in future studies.”
 

Fecal microbiota transplants?

What do the findings mean for people willing to adjust their diet – or undergo a fecal transplant – to include more of the gut bacteria that facilitate weight loss?

It could be too soon for such interventions, Dr. Gibbons said. “It is still very difficult to rationally engineer your gut microbiome.”

“Interestingly, a recent study suggests that fecal transplants from a high-Prevotella donor may be able to flip low-Prevotella recipients to high-Prevotella,” Dr. Gibbons said.

More research is required, however, to understand whether or not these fecal microbial transplant-flipped individuals are also more capable of weight loss, he added.

Beyond that, “I can’t give any specific recommendations, other than that [people] should eat more fiber-rich, plant-based, whole foods and reduce their consumption of red meat. That’s well-supported.”

“Also, prepare your own meals, rather than relying on sugar and sodium-rich processed foods,” Dr. Gibbons said.

Dr. Gibbons and his team hope to validate their work in larger human studies “and perhaps develop clinical diagnostics or interventions for people trying to lose weight.”

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

If you have a gut feeling something is preventing you from losing as much weight as you would like to, you could be right.

Researchers found that the gut microbiome – the bacteria that help digest food and absorb nutrients in the intestines – can influence attempts at weight loss.

They identified genes within these bacteria that determine how quickly the bacteria grow, how well people can take advantage of nutrients in food, and whether starches and fiber, in particular, get broken down into sugars too quickly to aid weight loss.

“Some people have a harder time losing weight than others,” study author Sean Gibbons, PhD, told this news organization. “For example, some people are able to control their weight through basic lifestyle interventions, while others may not.”

Furthermore, it is difficult to predict which individuals will respond to changes in diet or exercise and who might require more intense strategies.

The study, which was published online September 14 in mSystems, a journal of the American Society for Microbiology, could bring us closer to an answer.

“We’ve identified specific genetic signatures in the gut microbiome that were predictive of weight loss response in a small cohort of patients following a healthy lifestyle intervention,” explained Dr. Gibbons, Washington Research Foundation distinguished investigator and assistant professor at the Institute for Systems Biology in Seattle.
 

Weight loss takes guts?

Differences in 31 functional genes emerged from the gut microbiome in 48 people who lost 1% or more of their weight each month compared with 57 others whose weight remained the same. These findings came from stool samples taken 6 to 12 months after people started a commercial weight loss coaching program.

In contrast, lead author Christian Diener, PhD, also of the Institute for Systems Biology, and colleagues found only one factor in the blood that differed between the weight loss and weight maintenance groups. (They specifically evaluated proteins associated with obesity in the blood and genetic data from stool samples in a subset of 25 participants.)

Their findings align with previous research showing different types of bacteria in the gut microbiome can affect the success of weight loss interventions, but they took it a step further to determine how this works.

“We know that the gut microbiome plays an important role in weight management and can also influence a response to weight loss interventions. However, specific gut microbiome features that can explain this observation in more detail are still to be discovered,” Hana Kahleova, MD, PhD, MBA, director of clinical research at the Physicians Committee for Responsible Medicine in Washington, D.C., told this news organization when asked for comment.
 

Good versus bad players

On the plus side, genes that help bacteria grow more rapidly were associated with weight loss. These bacteria take more of the nutrients in food for themselves, leaving less to go toward human weight gain compared with slower growing bacteria.

In fact, prior evidence points to a particular gut bacteria, Prevotella, as being beneficial for weight loss. “In our study,” Dr. Gibbons said, “we found that some of the fastest-growing microbes in the weight-loss responder group were from the genus Prevotella.”

On the other hand, bacteria that produce more enzymes to breakdown starches or fiber quickly into sugars, for example, were linked with making people more resistant to weight loss.

“By understanding these functional patterns, we may one day be able to engineer resistant microbiomes to be more permissive to weight loss,” Dr. Gibbons said.

Dr. Kahleova agreed. “These findings expand our understanding of the specific features of the gut microbiome that play a role in weight loss,” she said.
 

Moving beyond BMI

Interestingly, the researchers controlled for baseline body mass index (BMI) and other factors that could affect weight loss. People who start off with a higher BMI tend to lose more weight than others, a phenomenon known as ‘regression to the mean.” This factor confounded some earlier research, they noted.

“The vast majority of features associated with weight loss, independent of BMI, were functional genes within the gut metagenome,” Dr. Gibbons said.

“This tells us that the gut microbiome is an important modulator of weight loss, independent of your underlying metabolic health state, baseline diet, or BMI status.”

“This study described several metagenomic functional features that were associated with weight loss after controlling for potential confounders, such as age, sex, and baseline BMI,” Dr. Kahleova said. “These findings ... may help optimize the weight-loss protocols in future studies.”
 

Fecal microbiota transplants?

What do the findings mean for people willing to adjust their diet – or undergo a fecal transplant – to include more of the gut bacteria that facilitate weight loss?

It could be too soon for such interventions, Dr. Gibbons said. “It is still very difficult to rationally engineer your gut microbiome.”

“Interestingly, a recent study suggests that fecal transplants from a high-Prevotella donor may be able to flip low-Prevotella recipients to high-Prevotella,” Dr. Gibbons said.

More research is required, however, to understand whether or not these fecal microbial transplant-flipped individuals are also more capable of weight loss, he added.

Beyond that, “I can’t give any specific recommendations, other than that [people] should eat more fiber-rich, plant-based, whole foods and reduce their consumption of red meat. That’s well-supported.”

“Also, prepare your own meals, rather than relying on sugar and sodium-rich processed foods,” Dr. Gibbons said.

Dr. Gibbons and his team hope to validate their work in larger human studies “and perhaps develop clinical diagnostics or interventions for people trying to lose weight.”

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

If you have a gut feeling something is preventing you from losing as much weight as you would like to, you could be right.

Researchers found that the gut microbiome – the bacteria that help digest food and absorb nutrients in the intestines – can influence attempts at weight loss.

They identified genes within these bacteria that determine how quickly the bacteria grow, how well people can take advantage of nutrients in food, and whether starches and fiber, in particular, get broken down into sugars too quickly to aid weight loss.

“Some people have a harder time losing weight than others,” study author Sean Gibbons, PhD, told this news organization. “For example, some people are able to control their weight through basic lifestyle interventions, while others may not.”

Furthermore, it is difficult to predict which individuals will respond to changes in diet or exercise and who might require more intense strategies.

The study, which was published online September 14 in mSystems, a journal of the American Society for Microbiology, could bring us closer to an answer.

“We’ve identified specific genetic signatures in the gut microbiome that were predictive of weight loss response in a small cohort of patients following a healthy lifestyle intervention,” explained Dr. Gibbons, Washington Research Foundation distinguished investigator and assistant professor at the Institute for Systems Biology in Seattle.
 

Weight loss takes guts?

Differences in 31 functional genes emerged from the gut microbiome in 48 people who lost 1% or more of their weight each month compared with 57 others whose weight remained the same. These findings came from stool samples taken 6 to 12 months after people started a commercial weight loss coaching program.

In contrast, lead author Christian Diener, PhD, also of the Institute for Systems Biology, and colleagues found only one factor in the blood that differed between the weight loss and weight maintenance groups. (They specifically evaluated proteins associated with obesity in the blood and genetic data from stool samples in a subset of 25 participants.)

Their findings align with previous research showing different types of bacteria in the gut microbiome can affect the success of weight loss interventions, but they took it a step further to determine how this works.

“We know that the gut microbiome plays an important role in weight management and can also influence a response to weight loss interventions. However, specific gut microbiome features that can explain this observation in more detail are still to be discovered,” Hana Kahleova, MD, PhD, MBA, director of clinical research at the Physicians Committee for Responsible Medicine in Washington, D.C., told this news organization when asked for comment.
 

Good versus bad players

On the plus side, genes that help bacteria grow more rapidly were associated with weight loss. These bacteria take more of the nutrients in food for themselves, leaving less to go toward human weight gain compared with slower growing bacteria.

In fact, prior evidence points to a particular gut bacteria, Prevotella, as being beneficial for weight loss. “In our study,” Dr. Gibbons said, “we found that some of the fastest-growing microbes in the weight-loss responder group were from the genus Prevotella.”

On the other hand, bacteria that produce more enzymes to breakdown starches or fiber quickly into sugars, for example, were linked with making people more resistant to weight loss.

“By understanding these functional patterns, we may one day be able to engineer resistant microbiomes to be more permissive to weight loss,” Dr. Gibbons said.

Dr. Kahleova agreed. “These findings expand our understanding of the specific features of the gut microbiome that play a role in weight loss,” she said.
 

Moving beyond BMI

Interestingly, the researchers controlled for baseline body mass index (BMI) and other factors that could affect weight loss. People who start off with a higher BMI tend to lose more weight than others, a phenomenon known as ‘regression to the mean.” This factor confounded some earlier research, they noted.

“The vast majority of features associated with weight loss, independent of BMI, were functional genes within the gut metagenome,” Dr. Gibbons said.

“This tells us that the gut microbiome is an important modulator of weight loss, independent of your underlying metabolic health state, baseline diet, or BMI status.”

“This study described several metagenomic functional features that were associated with weight loss after controlling for potential confounders, such as age, sex, and baseline BMI,” Dr. Kahleova said. “These findings ... may help optimize the weight-loss protocols in future studies.”
 

Fecal microbiota transplants?

What do the findings mean for people willing to adjust their diet – or undergo a fecal transplant – to include more of the gut bacteria that facilitate weight loss?

It could be too soon for such interventions, Dr. Gibbons said. “It is still very difficult to rationally engineer your gut microbiome.”

“Interestingly, a recent study suggests that fecal transplants from a high-Prevotella donor may be able to flip low-Prevotella recipients to high-Prevotella,” Dr. Gibbons said.

More research is required, however, to understand whether or not these fecal microbial transplant-flipped individuals are also more capable of weight loss, he added.

Beyond that, “I can’t give any specific recommendations, other than that [people] should eat more fiber-rich, plant-based, whole foods and reduce their consumption of red meat. That’s well-supported.”

“Also, prepare your own meals, rather than relying on sugar and sodium-rich processed foods,” Dr. Gibbons said.

Dr. Gibbons and his team hope to validate their work in larger human studies “and perhaps develop clinical diagnostics or interventions for people trying to lose weight.”

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

Individuals aged 18-24 years are at the highest risk of weight gain and developing overweight or obesity over the next 10 years, compared with all other adults, and should be a target for obesity prevention policies, say U.K. researchers.

The research, published online Sept. 2, 2021, in The Lancet Diabetes and Endocrinology, showed that factors more traditionally associated with obesity – such as socioeconomic status and ethnicity – play less of a role than age.

“Our results show clearly that age is the most important sociodemographic factor for BMI [body mass index] change,” lead author Michail Katsoulis, PhD, Institute of Health Informatics, University College London, said in a press release.

Cosenior author Claudia Langenberg, PhD, agreed, adding young people “go through big life changes. They may start work, go to university, or leave home for the first time,” and the habits formed during these years “may stick through adulthood.”

Current obesity prevention guidelines are mainly directed at individuals who already have obesity, the researchers said in their article.

“As the evidence presented in our study suggests, the opportunity to modify weight gain is greatest in individuals who are young and do not yet have obesity,” they observed.

“If we are serious about preventing obesity, then we should develop interventions that can be targeted and are relevant for young adults,” added Dr. Langenberg, of the MRC Epidemiology Unit, University of Cambridge, (England), and Berlin Institute of Health.
 

Risks for higher BMI substantially greater in the youngest adults

The researchers gathered data on more than 2 million adults aged 18-74 years registered with general practitioners in England. Participants had BMI and weight measurements recorded between Jan. 1, 1998, and June 30, 2016, with at least 1 year of follow-up. Overall, 58% were women, 76% were White, 9% had prevalent cardiovascular disease, and 4% had prevalent cancer.

Changes in BMI were assessed at 1 year, 5 years, and 10 years.

At 10 years, adults aged 18-24 years had the highest risk of transitioning from normal weight to overweight or obesity, compared with adults aged 65-74 years, at a greatest absolute risk of 37% versus 24% (odds ratio, 4.22).

Moreover, the results showed that adults aged 18-24 years who were already overweight or obese had a greater risk of transitioning to a higher BMI category during follow-up versus the oldest participants.

They had an absolute risk of 42% versus 18% of transitioning from overweight to class 1 and 2 obesity (OR, 4.60), and an absolute risk of transitioning from class 1 and 2 obesity to class 3 obesity of 22% versus 5% (OR, 5.87).

Online risk calculator and YouTube video help explain findings 

While factors other than age were associated with transitioning to a higher BMI category, the association was less pronounced.

For example, the OR of transitioning from normal weight to overweight or obesity in the most socially deprived versus the least deprived areas was 1.23 in men and 1.12 in women. The OR for making the same transition in Black versus White individuals was 1.13.

The findings allowed the researchers to develop a series of nomograms to determine an individual’s absolute risk of transitioning to a higher BMI category over 10 years based on their baseline BMI category, age, sex, and Index of Multiple Deprivation quintile.

“We show that, within each stratum, the risks for transitioning to higher BMI categories were substantially higher in the youngest adult age group than in older age groups,” the team writes.

From this, they developed an open-access online risk calculator to help individuals calculate their risk of weight change over the next 1, 5, and 10 years. The calculator takes into account current weight, height, age, sex, ethnicity, and socioeconomic-area characteristics.

They have also posted a video on YouTube to help explain their findings.
 

COVID and obesity pandemics collide

Cosenior author Harry Hemingway, MD, PhD, also of University College London, believes that focusing on this young age group is especially critical now because of the COVID-19 pandemic.

“Calculating personal risk of transitioning to a higher weight category is important” as COVID-19 “collides with the obesity pandemic,” he said, noting that “people are exercising less and finding it harder to eat healthy diets during lockdowns.

“Health systems like the NHS [National Health Service] need to identify new ways to prevent obesity and its consequences,” he continued. “This study demonstrates that NHS data collected over time in primary care holds an important key to unlocking new insights for public health action.”

The study was funded by the British Heart Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research. The authors reported no relevant financial relationships.

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

Individuals aged 18-24 years are at the highest risk of weight gain and developing overweight or obesity over the next 10 years, compared with all other adults, and should be a target for obesity prevention policies, say U.K. researchers.

The research, published online Sept. 2, 2021, in The Lancet Diabetes and Endocrinology, showed that factors more traditionally associated with obesity – such as socioeconomic status and ethnicity – play less of a role than age.

“Our results show clearly that age is the most important sociodemographic factor for BMI [body mass index] change,” lead author Michail Katsoulis, PhD, Institute of Health Informatics, University College London, said in a press release.

Cosenior author Claudia Langenberg, PhD, agreed, adding young people “go through big life changes. They may start work, go to university, or leave home for the first time,” and the habits formed during these years “may stick through adulthood.”

Current obesity prevention guidelines are mainly directed at individuals who already have obesity, the researchers said in their article.

“As the evidence presented in our study suggests, the opportunity to modify weight gain is greatest in individuals who are young and do not yet have obesity,” they observed.

“If we are serious about preventing obesity, then we should develop interventions that can be targeted and are relevant for young adults,” added Dr. Langenberg, of the MRC Epidemiology Unit, University of Cambridge, (England), and Berlin Institute of Health.
 

Risks for higher BMI substantially greater in the youngest adults

The researchers gathered data on more than 2 million adults aged 18-74 years registered with general practitioners in England. Participants had BMI and weight measurements recorded between Jan. 1, 1998, and June 30, 2016, with at least 1 year of follow-up. Overall, 58% were women, 76% were White, 9% had prevalent cardiovascular disease, and 4% had prevalent cancer.

Changes in BMI were assessed at 1 year, 5 years, and 10 years.

At 10 years, adults aged 18-24 years had the highest risk of transitioning from normal weight to overweight or obesity, compared with adults aged 65-74 years, at a greatest absolute risk of 37% versus 24% (odds ratio, 4.22).

Moreover, the results showed that adults aged 18-24 years who were already overweight or obese had a greater risk of transitioning to a higher BMI category during follow-up versus the oldest participants.

They had an absolute risk of 42% versus 18% of transitioning from overweight to class 1 and 2 obesity (OR, 4.60), and an absolute risk of transitioning from class 1 and 2 obesity to class 3 obesity of 22% versus 5% (OR, 5.87).

Online risk calculator and YouTube video help explain findings 

While factors other than age were associated with transitioning to a higher BMI category, the association was less pronounced.

For example, the OR of transitioning from normal weight to overweight or obesity in the most socially deprived versus the least deprived areas was 1.23 in men and 1.12 in women. The OR for making the same transition in Black versus White individuals was 1.13.

The findings allowed the researchers to develop a series of nomograms to determine an individual’s absolute risk of transitioning to a higher BMI category over 10 years based on their baseline BMI category, age, sex, and Index of Multiple Deprivation quintile.

“We show that, within each stratum, the risks for transitioning to higher BMI categories were substantially higher in the youngest adult age group than in older age groups,” the team writes.

From this, they developed an open-access online risk calculator to help individuals calculate their risk of weight change over the next 1, 5, and 10 years. The calculator takes into account current weight, height, age, sex, ethnicity, and socioeconomic-area characteristics.

They have also posted a video on YouTube to help explain their findings.
 

COVID and obesity pandemics collide

Cosenior author Harry Hemingway, MD, PhD, also of University College London, believes that focusing on this young age group is especially critical now because of the COVID-19 pandemic.

“Calculating personal risk of transitioning to a higher weight category is important” as COVID-19 “collides with the obesity pandemic,” he said, noting that “people are exercising less and finding it harder to eat healthy diets during lockdowns.

“Health systems like the NHS [National Health Service] need to identify new ways to prevent obesity and its consequences,” he continued. “This study demonstrates that NHS data collected over time in primary care holds an important key to unlocking new insights for public health action.”

The study was funded by the British Heart Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research. The authors reported no relevant financial relationships.

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

Individuals aged 18-24 years are at the highest risk of weight gain and developing overweight or obesity over the next 10 years, compared with all other adults, and should be a target for obesity prevention policies, say U.K. researchers.

The research, published online Sept. 2, 2021, in The Lancet Diabetes and Endocrinology, showed that factors more traditionally associated with obesity – such as socioeconomic status and ethnicity – play less of a role than age.

“Our results show clearly that age is the most important sociodemographic factor for BMI [body mass index] change,” lead author Michail Katsoulis, PhD, Institute of Health Informatics, University College London, said in a press release.

Cosenior author Claudia Langenberg, PhD, agreed, adding young people “go through big life changes. They may start work, go to university, or leave home for the first time,” and the habits formed during these years “may stick through adulthood.”

Current obesity prevention guidelines are mainly directed at individuals who already have obesity, the researchers said in their article.

“As the evidence presented in our study suggests, the opportunity to modify weight gain is greatest in individuals who are young and do not yet have obesity,” they observed.

“If we are serious about preventing obesity, then we should develop interventions that can be targeted and are relevant for young adults,” added Dr. Langenberg, of the MRC Epidemiology Unit, University of Cambridge, (England), and Berlin Institute of Health.
 

Risks for higher BMI substantially greater in the youngest adults

The researchers gathered data on more than 2 million adults aged 18-74 years registered with general practitioners in England. Participants had BMI and weight measurements recorded between Jan. 1, 1998, and June 30, 2016, with at least 1 year of follow-up. Overall, 58% were women, 76% were White, 9% had prevalent cardiovascular disease, and 4% had prevalent cancer.

Changes in BMI were assessed at 1 year, 5 years, and 10 years.

At 10 years, adults aged 18-24 years had the highest risk of transitioning from normal weight to overweight or obesity, compared with adults aged 65-74 years, at a greatest absolute risk of 37% versus 24% (odds ratio, 4.22).

Moreover, the results showed that adults aged 18-24 years who were already overweight or obese had a greater risk of transitioning to a higher BMI category during follow-up versus the oldest participants.

They had an absolute risk of 42% versus 18% of transitioning from overweight to class 1 and 2 obesity (OR, 4.60), and an absolute risk of transitioning from class 1 and 2 obesity to class 3 obesity of 22% versus 5% (OR, 5.87).

Online risk calculator and YouTube video help explain findings 

While factors other than age were associated with transitioning to a higher BMI category, the association was less pronounced.

For example, the OR of transitioning from normal weight to overweight or obesity in the most socially deprived versus the least deprived areas was 1.23 in men and 1.12 in women. The OR for making the same transition in Black versus White individuals was 1.13.

The findings allowed the researchers to develop a series of nomograms to determine an individual’s absolute risk of transitioning to a higher BMI category over 10 years based on their baseline BMI category, age, sex, and Index of Multiple Deprivation quintile.

“We show that, within each stratum, the risks for transitioning to higher BMI categories were substantially higher in the youngest adult age group than in older age groups,” the team writes.

From this, they developed an open-access online risk calculator to help individuals calculate their risk of weight change over the next 1, 5, and 10 years. The calculator takes into account current weight, height, age, sex, ethnicity, and socioeconomic-area characteristics.

They have also posted a video on YouTube to help explain their findings.
 

COVID and obesity pandemics collide

Cosenior author Harry Hemingway, MD, PhD, also of University College London, believes that focusing on this young age group is especially critical now because of the COVID-19 pandemic.

“Calculating personal risk of transitioning to a higher weight category is important” as COVID-19 “collides with the obesity pandemic,” he said, noting that “people are exercising less and finding it harder to eat healthy diets during lockdowns.

“Health systems like the NHS [National Health Service] need to identify new ways to prevent obesity and its consequences,” he continued. “This study demonstrates that NHS data collected over time in primary care holds an important key to unlocking new insights for public health action.”

The study was funded by the British Heart Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research. The authors reported no relevant financial relationships.

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

Bariatric surgery is associated with a reduction in risk of major adverse cardiac events (MACE), and Roux-en-Y gastric bypass (RYGB) is linked to a greater reduction than sleeve gastrectomy (SG).

Those are the key findings of a retrospective analysis of a large group of patients who received care at the Cleveland Clinic between 1998 and 2017. MACE is defined as first occurrence of coronary artery events, cerebrovascular events, heart failure, nephropathy, atrial fibrillation, and all-cause mortality.

“I think what it tells us is that, in making these choices and in counseling patients about the potential advantages of undergoing bariatric surgery for their obesity and diabetes, that they should know that they’re more likely to be protected by a Roux-en-Y gastric bypass, although certainly sleeve gastrectomy is effective,” said study coauthor Steven E. Nissen, MD, who is the chief academic officer of the Heart and Vascular Institute at the Cleveland Clinic.

Previous studies have shown a benefit to metabolic surgery in patients with type 2 diabetes and obesity, improving diabetes control and altering cardiometabolic risk factors. Others have shown a link between surgery and reduced mortality. Most studies examined the impact of RYGB. SG is a newer procedure, but its relative simplicity and lower complication rate have helped it become the most commonly performed metabolic surgery in the world.

“There was no study to compare gastric bypass and sleeve gastrectomy head to head in terms of reduction in risk of cardiovascular disease. There are studies comparing these two procedures for diabetes control and weight loss, but not specifically in terms of effects on their risk of developing cardiovascular disease. That’s the unique feature of this study,” said lead author Ali Aminian, MD, who is director of the Bariatric and Metabolic Institute at the Cleveland Clinic.

The researchers included 2,287 adults with type 2 diabetes and a body mass index of at least 30 kg/m², with no history of solid organ transplant, severe heart failure, or active cancer. 1,362 underwent RYGB, and 693 SG. Outcomes were compared with 11,435 matched nonsurgical patients.

At 5 years, 13.7% of the RYGB group experienced a MACE (95% confidence interval, 11.4-15.9), compared with 24.7% of the SG group for a relative reduction of 33% (95% CI, 19.0-30.0; adjusted hazard ratio, 0.77; P = .035). The nonsurgical group had a 5-year MACE incidence of 30.4% (95% CI, 29.4-31.5). Compared with usual care, the risk of MACE was lower in both the RYGB group (HR, 0.53; P < .001) and the SG group (HR, 0.69; P < .001). The researchers also analyzed the cumulative incidence of all-cause mortality, myocardial infarction, and ischemic stroke (three-component MACE) at 5 years. The cumulative incidence of three-component MACE at 5 years was 15.5% in the usual care group, 6.4% in the RYGB group (HR, 0.53 versus usual care; P < .001) and 11.8% in the SG group (HR vs. usual care, 0.65; P = .006).

The RYGB group had less nephropathy at 5 years (2.8% vs. 8.3%; HR, 0.47; P = .005), and experienced a greater reduction in weight, glycated hemoglobin, and diabetes and cardiovascular medication use. At 5 years, RYGB was associated with a higher frequency of upper endoscopy (45.8% vs. 35.6%, P < .001) and abdominal surgical procedures (10.8% vs. 5.4%, P = .001), compared with SG.

“Both procedures are extremely safe and extremely effective,” said Dr. Aminian. He pointed out the need to consider multiple factors when choosing between the procedures, including overall health, weight, comorbidities, and the patient’s values and goals.

A few factors may be contraindicated for one procedure or another. The sleeve may worsen severe reflux disease, while the gastric bypass may interfere more with absorption of psychiatric medications. Some patients may have multiple comorbidities that could point to a less risky procedure. “Decision-making should not be solely based on findings of this study. All these conditions need to be considered when patients and surgeons make a final decision about the most appropriate procedure,” said Dr. Aminian.

Dr. Nissen noted that the associations were wide ranging, including classic outcomes like death, stroke, and heart failure, but also extending to heart failure, coronary events, cerebral vascular events, nephropathy, and atrial fibrillation. “I found the nephropathy results to be amongst the most striking, that Roux-en-Y really dramatically reduced the risk of neuropathy,” he added. That’s a particularly important point because end-stage renal disease is a common cause of diabetes mortality.

Dr. Nissen acknowledged the limitations of the retrospective nature of the study, though he feels confident that the relationships are causal. “Bariatric surgery desperately needs a randomized, controlled trial, where both groups get intensive dietary and lifestyle counseling, but one group gets metabolic surgery and the other doesn’t. Given the dramatic effects in diabetic patients of reducing their hemoglobin A1c in a sustained way, reducing their body weight. We think these are very strong data to suggest that we have a major reduction in all the endpoints. If we’re right about this, the randomized controlled trial will show that dramatic effect, and will convince even the skeptics that metabolic surgery is the best way to go.”

Bariatric surgery is associated with a reduction in risk of major adverse cardiac events (MACE), and Roux-en-Y gastric bypass (RYGB) is linked to a greater reduction than sleeve gastrectomy (SG).

Those are the key findings of a retrospective analysis of a large group of patients who received care at the Cleveland Clinic between 1998 and 2017. MACE is defined as first occurrence of coronary artery events, cerebrovascular events, heart failure, nephropathy, atrial fibrillation, and all-cause mortality.

“I think what it tells us is that, in making these choices and in counseling patients about the potential advantages of undergoing bariatric surgery for their obesity and diabetes, that they should know that they’re more likely to be protected by a Roux-en-Y gastric bypass, although certainly sleeve gastrectomy is effective,” said study coauthor Steven E. Nissen, MD, who is the chief academic officer of the Heart and Vascular Institute at the Cleveland Clinic.

Previous studies have shown a benefit to metabolic surgery in patients with type 2 diabetes and obesity, improving diabetes control and altering cardiometabolic risk factors. Others have shown a link between surgery and reduced mortality. Most studies examined the impact of RYGB. SG is a newer procedure, but its relative simplicity and lower complication rate have helped it become the most commonly performed metabolic surgery in the world.

“There was no study to compare gastric bypass and sleeve gastrectomy head to head in terms of reduction in risk of cardiovascular disease. There are studies comparing these two procedures for diabetes control and weight loss, but not specifically in terms of effects on their risk of developing cardiovascular disease. That’s the unique feature of this study,” said lead author Ali Aminian, MD, who is director of the Bariatric and Metabolic Institute at the Cleveland Clinic.

The researchers included 2,287 adults with type 2 diabetes and a body mass index of at least 30 kg/m², with no history of solid organ transplant, severe heart failure, or active cancer. 1,362 underwent RYGB, and 693 SG. Outcomes were compared with 11,435 matched nonsurgical patients.

At 5 years, 13.7% of the RYGB group experienced a MACE (95% confidence interval, 11.4-15.9), compared with 24.7% of the SG group for a relative reduction of 33% (95% CI, 19.0-30.0; adjusted hazard ratio, 0.77; P = .035). The nonsurgical group had a 5-year MACE incidence of 30.4% (95% CI, 29.4-31.5). Compared with usual care, the risk of MACE was lower in both the RYGB group (HR, 0.53; P < .001) and the SG group (HR, 0.69; P < .001). The researchers also analyzed the cumulative incidence of all-cause mortality, myocardial infarction, and ischemic stroke (three-component MACE) at 5 years. The cumulative incidence of three-component MACE at 5 years was 15.5% in the usual care group, 6.4% in the RYGB group (HR, 0.53 versus usual care; P < .001) and 11.8% in the SG group (HR vs. usual care, 0.65; P = .006).

The RYGB group had less nephropathy at 5 years (2.8% vs. 8.3%; HR, 0.47; P = .005), and experienced a greater reduction in weight, glycated hemoglobin, and diabetes and cardiovascular medication use. At 5 years, RYGB was associated with a higher frequency of upper endoscopy (45.8% vs. 35.6%, P < .001) and abdominal surgical procedures (10.8% vs. 5.4%, P = .001), compared with SG.

“Both procedures are extremely safe and extremely effective,” said Dr. Aminian. He pointed out the need to consider multiple factors when choosing between the procedures, including overall health, weight, comorbidities, and the patient’s values and goals.

A few factors may be contraindicated for one procedure or another. The sleeve may worsen severe reflux disease, while the gastric bypass may interfere more with absorption of psychiatric medications. Some patients may have multiple comorbidities that could point to a less risky procedure. “Decision-making should not be solely based on findings of this study. All these conditions need to be considered when patients and surgeons make a final decision about the most appropriate procedure,” said Dr. Aminian.

Dr. Nissen noted that the associations were wide ranging, including classic outcomes like death, stroke, and heart failure, but also extending to heart failure, coronary events, cerebral vascular events, nephropathy, and atrial fibrillation. “I found the nephropathy results to be amongst the most striking, that Roux-en-Y really dramatically reduced the risk of neuropathy,” he added. That’s a particularly important point because end-stage renal disease is a common cause of diabetes mortality.

Dr. Nissen acknowledged the limitations of the retrospective nature of the study, though he feels confident that the relationships are causal. “Bariatric surgery desperately needs a randomized, controlled trial, where both groups get intensive dietary and lifestyle counseling, but one group gets metabolic surgery and the other doesn’t. Given the dramatic effects in diabetic patients of reducing their hemoglobin A1c in a sustained way, reducing their body weight. We think these are very strong data to suggest that we have a major reduction in all the endpoints. If we’re right about this, the randomized controlled trial will show that dramatic effect, and will convince even the skeptics that metabolic surgery is the best way to go.”

Bariatric surgery is associated with a reduction in risk of major adverse cardiac events (MACE), and Roux-en-Y gastric bypass (RYGB) is linked to a greater reduction than sleeve gastrectomy (SG).

Those are the key findings of a retrospective analysis of a large group of patients who received care at the Cleveland Clinic between 1998 and 2017. MACE is defined as first occurrence of coronary artery events, cerebrovascular events, heart failure, nephropathy, atrial fibrillation, and all-cause mortality.

“I think what it tells us is that, in making these choices and in counseling patients about the potential advantages of undergoing bariatric surgery for their obesity and diabetes, that they should know that they’re more likely to be protected by a Roux-en-Y gastric bypass, although certainly sleeve gastrectomy is effective,” said study coauthor Steven E. Nissen, MD, who is the chief academic officer of the Heart and Vascular Institute at the Cleveland Clinic.

Previous studies have shown a benefit to metabolic surgery in patients with type 2 diabetes and obesity, improving diabetes control and altering cardiometabolic risk factors. Others have shown a link between surgery and reduced mortality. Most studies examined the impact of RYGB. SG is a newer procedure, but its relative simplicity and lower complication rate have helped it become the most commonly performed metabolic surgery in the world.

“There was no study to compare gastric bypass and sleeve gastrectomy head to head in terms of reduction in risk of cardiovascular disease. There are studies comparing these two procedures for diabetes control and weight loss, but not specifically in terms of effects on their risk of developing cardiovascular disease. That’s the unique feature of this study,” said lead author Ali Aminian, MD, who is director of the Bariatric and Metabolic Institute at the Cleveland Clinic.

The researchers included 2,287 adults with type 2 diabetes and a body mass index of at least 30 kg/m², with no history of solid organ transplant, severe heart failure, or active cancer. 1,362 underwent RYGB, and 693 SG. Outcomes were compared with 11,435 matched nonsurgical patients.

At 5 years, 13.7% of the RYGB group experienced a MACE (95% confidence interval, 11.4-15.9), compared with 24.7% of the SG group for a relative reduction of 33% (95% CI, 19.0-30.0; adjusted hazard ratio, 0.77; P = .035). The nonsurgical group had a 5-year MACE incidence of 30.4% (95% CI, 29.4-31.5). Compared with usual care, the risk of MACE was lower in both the RYGB group (HR, 0.53; P < .001) and the SG group (HR, 0.69; P < .001). The researchers also analyzed the cumulative incidence of all-cause mortality, myocardial infarction, and ischemic stroke (three-component MACE) at 5 years. The cumulative incidence of three-component MACE at 5 years was 15.5% in the usual care group, 6.4% in the RYGB group (HR, 0.53 versus usual care; P < .001) and 11.8% in the SG group (HR vs. usual care, 0.65; P = .006).

The RYGB group had less nephropathy at 5 years (2.8% vs. 8.3%; HR, 0.47; P = .005), and experienced a greater reduction in weight, glycated hemoglobin, and diabetes and cardiovascular medication use. At 5 years, RYGB was associated with a higher frequency of upper endoscopy (45.8% vs. 35.6%, P < .001) and abdominal surgical procedures (10.8% vs. 5.4%, P = .001), compared with SG.

“Both procedures are extremely safe and extremely effective,” said Dr. Aminian. He pointed out the need to consider multiple factors when choosing between the procedures, including overall health, weight, comorbidities, and the patient’s values and goals.

A few factors may be contraindicated for one procedure or another. The sleeve may worsen severe reflux disease, while the gastric bypass may interfere more with absorption of psychiatric medications. Some patients may have multiple comorbidities that could point to a less risky procedure. “Decision-making should not be solely based on findings of this study. All these conditions need to be considered when patients and surgeons make a final decision about the most appropriate procedure,” said Dr. Aminian.

Dr. Nissen noted that the associations were wide ranging, including classic outcomes like death, stroke, and heart failure, but also extending to heart failure, coronary events, cerebral vascular events, nephropathy, and atrial fibrillation. “I found the nephropathy results to be amongst the most striking, that Roux-en-Y really dramatically reduced the risk of neuropathy,” he added. That’s a particularly important point because end-stage renal disease is a common cause of diabetes mortality.

Dr. Nissen acknowledged the limitations of the retrospective nature of the study, though he feels confident that the relationships are causal. “Bariatric surgery desperately needs a randomized, controlled trial, where both groups get intensive dietary and lifestyle counseling, but one group gets metabolic surgery and the other doesn’t. Given the dramatic effects in diabetic patients of reducing their hemoglobin A1c in a sustained way, reducing their body weight. We think these are very strong data to suggest that we have a major reduction in all the endpoints. If we’re right about this, the randomized controlled trial will show that dramatic effect, and will convince even the skeptics that metabolic surgery is the best way to go.”

The SGLT2 inhibitor dapagliflozin scored a clear win in a randomized, controlled trial with more than 300 U.S. patients with heart failure with preserved ejection fraction (HFpEF), showing a significant and clinically meaningful benefit for the primary endpoint, a KCCQ measure of symptoms and physical limitations, after 12 weeks of treatment.

These results in the PRESERVED-HF study follow closely on the heals of the initial report from the EMPEROR-Preserved trial that showed a benefit from a different sodium-glucose cotransporter 2 (SGLT2) inhibitor, empagliflozin (Jardiance) in nearly 6,000 randomized patients for the primary endpoint of preventing cardiovascular death or hospitalizations for heart failure.

In PRESERVED-HF, patients with HFpEF who received a standard, once-daily dose of dapagliflozin (Farxiga) had an average 5.8-point improvement in their condition as measured by the Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CS), the study’s primary endpoint.

This is “the first study to demonstrate that an SGLT2 inhibitor dapagliflozin significantly improves symptoms, physical limitations, and 6-minute walking distance in patients with HFpEF,” Mikhail N. Kosiborod, MD, reported at the annual scientific meeting of the Heart Failure Society of America. The secondary endpoint of 6-minute walking distance “has been very difficult to improve in many previous studies of other treatments” tested in patients with HFpEF, noted Dr. Kosiborod, a cardiologist and codirector of the Cardiometabolic Center of Excellence at Saint Luke’s Mid-America Heart Institute.

The results are “highly complementary” to the findings from large outcome trials, such as the findings from EMPEROR-Preserved, he said, and collectively the recent findings from these studies of SGLT2 inhibitors in patients with HFpEF identify drugs in this class as a “new treatment option” for patients with a disorder that until now had no treatment with unequivocally proven efficacy and safety.
 

‘Impressive and unprecedented’ findings

The findings are “really impressive and unprecedented,” said Milton Packer, MD, a cardiologist at Baylor University Medical Center in Dallas who was not involved in the study. “This is the largest KCCQ benefit ever seen in either patients with HFpEF or in patients with heart failure with reduced ejection fraction,” said Dr. Packer, one of the investigators who led the EMPEROR-Preserved trial.

MDedge News

PRESERVED-HF randomized 324 patients diagnosed with heart failure and with a left ventricular ejection fraction of 45% or higher at any of 26 U.S. centers, with 304 patients completing the planned final analysis after 12 weeks on treatment. Patients could be in New York Heart Association (NYHA) functional class II-IV, they had to have a baseline N-terminal pro-brain natriuretic peptide (NT-proBNP) level of at least 225 pg/mL (or higher if they also had atrial fibrillation), and they required at least one of three markers of established heart failure: recent hospitalization for heart failure or an urgent outpatient visit that required treatment with an IV diuretic, elevated filling pressure measured by left or right catheterization, or structural heart disease detected by echocardiography.

The average age of the enrolled patients was 70 years, and they had been diagnosed with heart failure for about 3 years; 57% were women, 30% were African American, and their median body mass index was 35 kg/m². Roughly 42% had NYHA class III or IV disease, 56% had type 2 diabetes, their median estimated glomerular filtration rate was about 55 mL/min per 1.73m², their median KCCQ-CS score at baseline was about 62, and their average 6-minute walk distance was 244 m.

These and other features of the enrolled population define a distinctly U.S. patient population, stressed Dr. Kosiborod, professor of medicine at the University of Missouri–Kansas City.

“The patients we enrolled are the patients we see in U.S. clinical practice,” he said in an interview. Importantly, the patient profile of a median BMI of 35 kg/m², a median KCCQ-CS score of 62 – “quite low,” noted Dr. Kosiborod – and having more than 40% of patients in NYHA functional class III defines a study population with a substantially greater burden of obesity, symptoms, and functional impairment compared with those enrolled in prior trials involving patients with HFpEF such as EMPEROR-Preserved.
 

Results complement findings from larger trials

PRESERVED-HF was an investigator-initiated study designed to inform clinical practice, not as a pivotal trial like EMPEROR-Preserved, which aims to gather evidence to support a new indication for regulatory approval. (On Sept. 9, 2021, the Food and Drug Administration granted empagliflozin “breakthrough therapy” status for treating HFpEF based on the EMPEROR-Preserved results, which will fast-track the agency’s decision on this indication.)

Dr. Kosiborod noted that he and his associates designed PRESERVED-HF with adequate patient numbers to power a statistically valid assessment of effect on KCCQ-CS score. While the new findings will not by themselves lead to a new indication for dapagliflozin to treat patients with HFpEF, they will potentially complement the pending results of another trial, DELIVER, by showing efficacy and safety in a uniquely U.S. patient population. DELIVER is a pivotal, global trial of dapagliflozin in more than 6,000 patients with HFpEF that’s on track to report findings in 2022.

Dr. Kosiborod also stressed that dapagliflozin has U.S.-approved indications for treating patients with type 2 diabetes, and for patients with chronic kidney disease, and that a majority of patients enrolled in PRESERVED-HF had one or both of these conditions. That makes the new findings especially compelling for patients with either type 2 diabetes or chronic kidney disease and HFpEF who are not already receiving an SGLT2 inhibitor.

Other findings that he reported showed a range of benefits consistent with the primary endpoint, including the KCCQ overall summary score, which also showed a significant 4.5-point average increase over placebo after 12 weeks. Analysis by the percentage of patients achieving at least a 5-point improvement in the KCCQ clinical summary score (the threshold for a clinically meaningful improvement) showed that about 45% of patients treated with dapagliflozin reached this mark compared with roughly 35% of patients in the placebo arm, indicating a number needed to treat of nine to have one additional patient achieve this threshold after 12 weeks. Average improvement in 6-minute walk distance was about 20 m with dapagliflozin compared with placebo.

No heterogeneity of effect by baseline ejection fraction.

Subgroup analyses showed no heterogeneity of response across 12 different ways of subdividing the study population, including age, sex, race, diabetes status, and BMI. The median left ventricular ejection fraction among enrolled patients was 60%, and the findings showed identical KCCQ improvements among patients with ejection fractions less than the median and those with an ejection fraction above the median.

This last finding was especially relevant because the EMPEROR-Preserved results showed a possible signal of heterogeneity by ejection fraction and an attenuated effect among patients with HFpEF and an ejection fraction above the 60%-65% range, although the certainty of this finding is currently controversial.

The impact of empagliflozin on KCCQ clinical summary score in EMPEROR-Preserved showed an average incremental improvement of 1.32 points compared with placebo, a significant difference, but more modest than the increment from dapagliflozin treatment seen in PRESERVED-HF. Dr. Kosiborod hypothesized that this difference might be mostly because of the different patient populations enrolled in the two studies.

Dr. Kosiborod noted that a report on the PRESERVED-HF results will soon appear in Nature Medicine.

PRESERVED-HF was funded by AstraZeneca, which markets dapagliflozin (Farxiga), but the trials’ design and conduct were independent of this funding source. Dr. Kosiborod has been a consultant to AstraZeneca and numerous other companies, and he has received research funding from AstraZeneca and Boehringer Ingelheim. Dr. Packer has had financial relationships with AstraZeneca and numerous other companies.

mzoler@mdedge.com

The SGLT2 inhibitor dapagliflozin scored a clear win in a randomized, controlled trial with more than 300 U.S. patients with heart failure with preserved ejection fraction (HFpEF), showing a significant and clinically meaningful benefit for the primary endpoint, a KCCQ measure of symptoms and physical limitations, after 12 weeks of treatment.

These results in the PRESERVED-HF study follow closely on the heals of the initial report from the EMPEROR-Preserved trial that showed a benefit from a different sodium-glucose cotransporter 2 (SGLT2) inhibitor, empagliflozin (Jardiance) in nearly 6,000 randomized patients for the primary endpoint of preventing cardiovascular death or hospitalizations for heart failure.

In PRESERVED-HF, patients with HFpEF who received a standard, once-daily dose of dapagliflozin (Farxiga) had an average 5.8-point improvement in their condition as measured by the Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CS), the study’s primary endpoint.

This is “the first study to demonstrate that an SGLT2 inhibitor dapagliflozin significantly improves symptoms, physical limitations, and 6-minute walking distance in patients with HFpEF,” Mikhail N. Kosiborod, MD, reported at the annual scientific meeting of the Heart Failure Society of America. The secondary endpoint of 6-minute walking distance “has been very difficult to improve in many previous studies of other treatments” tested in patients with HFpEF, noted Dr. Kosiborod, a cardiologist and codirector of the Cardiometabolic Center of Excellence at Saint Luke’s Mid-America Heart Institute.

The results are “highly complementary” to the findings from large outcome trials, such as the findings from EMPEROR-Preserved, he said, and collectively the recent findings from these studies of SGLT2 inhibitors in patients with HFpEF identify drugs in this class as a “new treatment option” for patients with a disorder that until now had no treatment with unequivocally proven efficacy and safety.
 

‘Impressive and unprecedented’ findings

The findings are “really impressive and unprecedented,” said Milton Packer, MD, a cardiologist at Baylor University Medical Center in Dallas who was not involved in the study. “This is the largest KCCQ benefit ever seen in either patients with HFpEF or in patients with heart failure with reduced ejection fraction,” said Dr. Packer, one of the investigators who led the EMPEROR-Preserved trial.

MDedge News

PRESERVED-HF randomized 324 patients diagnosed with heart failure and with a left ventricular ejection fraction of 45% or higher at any of 26 U.S. centers, with 304 patients completing the planned final analysis after 12 weeks on treatment. Patients could be in New York Heart Association (NYHA) functional class II-IV, they had to have a baseline N-terminal pro-brain natriuretic peptide (NT-proBNP) level of at least 225 pg/mL (or higher if they also had atrial fibrillation), and they required at least one of three markers of established heart failure: recent hospitalization for heart failure or an urgent outpatient visit that required treatment with an IV diuretic, elevated filling pressure measured by left or right catheterization, or structural heart disease detected by echocardiography.

The average age of the enrolled patients was 70 years, and they had been diagnosed with heart failure for about 3 years; 57% were women, 30% were African American, and their median body mass index was 35 kg/m². Roughly 42% had NYHA class III or IV disease, 56% had type 2 diabetes, their median estimated glomerular filtration rate was about 55 mL/min per 1.73m², their median KCCQ-CS score at baseline was about 62, and their average 6-minute walk distance was 244 m.

These and other features of the enrolled population define a distinctly U.S. patient population, stressed Dr. Kosiborod, professor of medicine at the University of Missouri–Kansas City.

“The patients we enrolled are the patients we see in U.S. clinical practice,” he said in an interview. Importantly, the patient profile of a median BMI of 35 kg/m², a median KCCQ-CS score of 62 – “quite low,” noted Dr. Kosiborod – and having more than 40% of patients in NYHA functional class III defines a study population with a substantially greater burden of obesity, symptoms, and functional impairment compared with those enrolled in prior trials involving patients with HFpEF such as EMPEROR-Preserved.
 

Results complement findings from larger trials

PRESERVED-HF was an investigator-initiated study designed to inform clinical practice, not as a pivotal trial like EMPEROR-Preserved, which aims to gather evidence to support a new indication for regulatory approval. (On Sept. 9, 2021, the Food and Drug Administration granted empagliflozin “breakthrough therapy” status for treating HFpEF based on the EMPEROR-Preserved results, which will fast-track the agency’s decision on this indication.)

Dr. Kosiborod noted that he and his associates designed PRESERVED-HF with adequate patient numbers to power a statistically valid assessment of effect on KCCQ-CS score. While the new findings will not by themselves lead to a new indication for dapagliflozin to treat patients with HFpEF, they will potentially complement the pending results of another trial, DELIVER, by showing efficacy and safety in a uniquely U.S. patient population. DELIVER is a pivotal, global trial of dapagliflozin in more than 6,000 patients with HFpEF that’s on track to report findings in 2022.

Dr. Kosiborod also stressed that dapagliflozin has U.S.-approved indications for treating patients with type 2 diabetes, and for patients with chronic kidney disease, and that a majority of patients enrolled in PRESERVED-HF had one or both of these conditions. That makes the new findings especially compelling for patients with either type 2 diabetes or chronic kidney disease and HFpEF who are not already receiving an SGLT2 inhibitor.

Other findings that he reported showed a range of benefits consistent with the primary endpoint, including the KCCQ overall summary score, which also showed a significant 4.5-point average increase over placebo after 12 weeks. Analysis by the percentage of patients achieving at least a 5-point improvement in the KCCQ clinical summary score (the threshold for a clinically meaningful improvement) showed that about 45% of patients treated with dapagliflozin reached this mark compared with roughly 35% of patients in the placebo arm, indicating a number needed to treat of nine to have one additional patient achieve this threshold after 12 weeks. Average improvement in 6-minute walk distance was about 20 m with dapagliflozin compared with placebo.

No heterogeneity of effect by baseline ejection fraction.

Subgroup analyses showed no heterogeneity of response across 12 different ways of subdividing the study population, including age, sex, race, diabetes status, and BMI. The median left ventricular ejection fraction among enrolled patients was 60%, and the findings showed identical KCCQ improvements among patients with ejection fractions less than the median and those with an ejection fraction above the median.

This last finding was especially relevant because the EMPEROR-Preserved results showed a possible signal of heterogeneity by ejection fraction and an attenuated effect among patients with HFpEF and an ejection fraction above the 60%-65% range, although the certainty of this finding is currently controversial.

The impact of empagliflozin on KCCQ clinical summary score in EMPEROR-Preserved showed an average incremental improvement of 1.32 points compared with placebo, a significant difference, but more modest than the increment from dapagliflozin treatment seen in PRESERVED-HF. Dr. Kosiborod hypothesized that this difference might be mostly because of the different patient populations enrolled in the two studies.

Dr. Kosiborod noted that a report on the PRESERVED-HF results will soon appear in Nature Medicine.

PRESERVED-HF was funded by AstraZeneca, which markets dapagliflozin (Farxiga), but the trials’ design and conduct were independent of this funding source. Dr. Kosiborod has been a consultant to AstraZeneca and numerous other companies, and he has received research funding from AstraZeneca and Boehringer Ingelheim. Dr. Packer has had financial relationships with AstraZeneca and numerous other companies.

mzoler@mdedge.com

The SGLT2 inhibitor dapagliflozin scored a clear win in a randomized, controlled trial with more than 300 U.S. patients with heart failure with preserved ejection fraction (HFpEF), showing a significant and clinically meaningful benefit for the primary endpoint, a KCCQ measure of symptoms and physical limitations, after 12 weeks of treatment.

These results in the PRESERVED-HF study follow closely on the heals of the initial report from the EMPEROR-Preserved trial that showed a benefit from a different sodium-glucose cotransporter 2 (SGLT2) inhibitor, empagliflozin (Jardiance) in nearly 6,000 randomized patients for the primary endpoint of preventing cardiovascular death or hospitalizations for heart failure.

In PRESERVED-HF, patients with HFpEF who received a standard, once-daily dose of dapagliflozin (Farxiga) had an average 5.8-point improvement in their condition as measured by the Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CS), the study’s primary endpoint.

This is “the first study to demonstrate that an SGLT2 inhibitor dapagliflozin significantly improves symptoms, physical limitations, and 6-minute walking distance in patients with HFpEF,” Mikhail N. Kosiborod, MD, reported at the annual scientific meeting of the Heart Failure Society of America. The secondary endpoint of 6-minute walking distance “has been very difficult to improve in many previous studies of other treatments” tested in patients with HFpEF, noted Dr. Kosiborod, a cardiologist and codirector of the Cardiometabolic Center of Excellence at Saint Luke’s Mid-America Heart Institute.

The results are “highly complementary” to the findings from large outcome trials, such as the findings from EMPEROR-Preserved, he said, and collectively the recent findings from these studies of SGLT2 inhibitors in patients with HFpEF identify drugs in this class as a “new treatment option” for patients with a disorder that until now had no treatment with unequivocally proven efficacy and safety.
 

‘Impressive and unprecedented’ findings

The findings are “really impressive and unprecedented,” said Milton Packer, MD, a cardiologist at Baylor University Medical Center in Dallas who was not involved in the study. “This is the largest KCCQ benefit ever seen in either patients with HFpEF or in patients with heart failure with reduced ejection fraction,” said Dr. Packer, one of the investigators who led the EMPEROR-Preserved trial.

MDedge News

PRESERVED-HF randomized 324 patients diagnosed with heart failure and with a left ventricular ejection fraction of 45% or higher at any of 26 U.S. centers, with 304 patients completing the planned final analysis after 12 weeks on treatment. Patients could be in New York Heart Association (NYHA) functional class II-IV, they had to have a baseline N-terminal pro-brain natriuretic peptide (NT-proBNP) level of at least 225 pg/mL (or higher if they also had atrial fibrillation), and they required at least one of three markers of established heart failure: recent hospitalization for heart failure or an urgent outpatient visit that required treatment with an IV diuretic, elevated filling pressure measured by left or right catheterization, or structural heart disease detected by echocardiography.

The average age of the enrolled patients was 70 years, and they had been diagnosed with heart failure for about 3 years; 57% were women, 30% were African American, and their median body mass index was 35 kg/m². Roughly 42% had NYHA class III or IV disease, 56% had type 2 diabetes, their median estimated glomerular filtration rate was about 55 mL/min per 1.73m², their median KCCQ-CS score at baseline was about 62, and their average 6-minute walk distance was 244 m.

These and other features of the enrolled population define a distinctly U.S. patient population, stressed Dr. Kosiborod, professor of medicine at the University of Missouri–Kansas City.

“The patients we enrolled are the patients we see in U.S. clinical practice,” he said in an interview. Importantly, the patient profile of a median BMI of 35 kg/m², a median KCCQ-CS score of 62 – “quite low,” noted Dr. Kosiborod – and having more than 40% of patients in NYHA functional class III defines a study population with a substantially greater burden of obesity, symptoms, and functional impairment compared with those enrolled in prior trials involving patients with HFpEF such as EMPEROR-Preserved.
 

Results complement findings from larger trials

PRESERVED-HF was an investigator-initiated study designed to inform clinical practice, not as a pivotal trial like EMPEROR-Preserved, which aims to gather evidence to support a new indication for regulatory approval. (On Sept. 9, 2021, the Food and Drug Administration granted empagliflozin “breakthrough therapy” status for treating HFpEF based on the EMPEROR-Preserved results, which will fast-track the agency’s decision on this indication.)

Dr. Kosiborod noted that he and his associates designed PRESERVED-HF with adequate patient numbers to power a statistically valid assessment of effect on KCCQ-CS score. While the new findings will not by themselves lead to a new indication for dapagliflozin to treat patients with HFpEF, they will potentially complement the pending results of another trial, DELIVER, by showing efficacy and safety in a uniquely U.S. patient population. DELIVER is a pivotal, global trial of dapagliflozin in more than 6,000 patients with HFpEF that’s on track to report findings in 2022.

Dr. Kosiborod also stressed that dapagliflozin has U.S.-approved indications for treating patients with type 2 diabetes, and for patients with chronic kidney disease, and that a majority of patients enrolled in PRESERVED-HF had one or both of these conditions. That makes the new findings especially compelling for patients with either type 2 diabetes or chronic kidney disease and HFpEF who are not already receiving an SGLT2 inhibitor.

Other findings that he reported showed a range of benefits consistent with the primary endpoint, including the KCCQ overall summary score, which also showed a significant 4.5-point average increase over placebo after 12 weeks. Analysis by the percentage of patients achieving at least a 5-point improvement in the KCCQ clinical summary score (the threshold for a clinically meaningful improvement) showed that about 45% of patients treated with dapagliflozin reached this mark compared with roughly 35% of patients in the placebo arm, indicating a number needed to treat of nine to have one additional patient achieve this threshold after 12 weeks. Average improvement in 6-minute walk distance was about 20 m with dapagliflozin compared with placebo.

No heterogeneity of effect by baseline ejection fraction.

Subgroup analyses showed no heterogeneity of response across 12 different ways of subdividing the study population, including age, sex, race, diabetes status, and BMI. The median left ventricular ejection fraction among enrolled patients was 60%, and the findings showed identical KCCQ improvements among patients with ejection fractions less than the median and those with an ejection fraction above the median.

This last finding was especially relevant because the EMPEROR-Preserved results showed a possible signal of heterogeneity by ejection fraction and an attenuated effect among patients with HFpEF and an ejection fraction above the 60%-65% range, although the certainty of this finding is currently controversial.

The impact of empagliflozin on KCCQ clinical summary score in EMPEROR-Preserved showed an average incremental improvement of 1.32 points compared with placebo, a significant difference, but more modest than the increment from dapagliflozin treatment seen in PRESERVED-HF. Dr. Kosiborod hypothesized that this difference might be mostly because of the different patient populations enrolled in the two studies.

Dr. Kosiborod noted that a report on the PRESERVED-HF results will soon appear in Nature Medicine.

PRESERVED-HF was funded by AstraZeneca, which markets dapagliflozin (Farxiga), but the trials’ design and conduct were independent of this funding source. Dr. Kosiborod has been a consultant to AstraZeneca and numerous other companies, and he has received research funding from AstraZeneca and Boehringer Ingelheim. Dr. Packer has had financial relationships with AstraZeneca and numerous other companies.

mzoler@mdedge.com

Obese or overweight children with asthma could be using inhaled corticosteroids (ICS) to no avail, combined results from observational studies suggest.

Using Mendelian randomization, a method for reducing bias in observational studies, investigators from the University of Amsterdam Medical Center performed an analysis of data from four cross-sectional studies and one cohort study on a total of 1,511 children with asthma.

They showed that every 1-unit increase in the body mass index (BMI) z score was associated with a more than twofold higher odds ratio for exacerbation, reported Cristina Longo, PhD, a former postdoctoral fellow at AMC, and assistant professor of medicine at the University of Montreal.

“In this large, multicenter Mendelian randomization study, our findings support current evidence that children with higher BMI status respond inadequately to inhaled corticosteroids, and that this association is likely not explained by measured confounding or reverse causation,” she said in an oral abstract presentation during the European Respiratory Society International Congress.
 

Unmeasured confounding

The obese-asthma phenotype in children is characterized by reduced lung function, high symptom expression, poor response to ICS, and high health care utilization.

“While most observational studies suggest that weight status is associated with asthma exacerbations, despite using inhaled corticosteroids, it’s unclear whether these associations may be due to unmeasured confounding or reverse causation, which captures the idea that perhaps obesity is a consequence rather than a cause of uncontrolled severe asthma,” she said.

Traditional observational studies of the obesity-asthma link rely on comparing data on asthma in a target population and comparing nonobese patients with obese patients. The problem with this method, Dr. Longo contended, is that the exposure assignment – weight status – is not random, and could lead to bias from potential imbalance of confounders, leading to unintentionally biased results.

In contrast, Mendelian randomization uses genetic data to approximate random assignment of exposures, using a risk score for BMI based on genetic susceptibility. The score is based on the accumulation of genetic variants (single-nucleotide polymorphisms, or SNPs) that predispose individuals to obesity, with higher numbers of variants results in a higher risk score.

The scores are then used to determine the comparison groups for evaluating the obesity-asthma association.
 

Alphabet soup

Dr. Longo and colleagues analyzed data on a total 1,511 children enrolled in four observational studies (PACMAN, PAGES, HPR, CLARA) and one cohort study (ALSPAC).

They included children with an asthma diagnosis who used ICS and had available information on both BMI and genetics.

The Mendelian randomization analysis was based on a weighted allele score based on 97 SNPs predictive of BMI based on large-scale genomewide association studies. The exposure for the analysis was age- and sex-adjusted BMI z scores based on World Health Organization growth charts for children.

They found that using the Mendelian randomization approach, for each standard deviation increase in BMI, the OR for any parent-reported asthma exacerbations, including urgent care visits or use of oral corticosteroids, was 2.31 (95% confidence interval, 1.26-4.25).

In contrast, if the traditional observational model had been used, the OR would be a nonsignificant 1.10 (95% CI, 0.99-1.22).

“Treatment guidelines recommend steroids for children with asthma who have a higher-than-normal BMI,” Dr. Longo said in a statement. “Our research group felt that the one-size fits-all approach to treating children with asthma with inhaled steroids as their first-line treatment, particularly those with excess weight, warrants revision. At the very least, research identifying potential alternative treatments should be encouraged and prioritized, especially since 30% of children with asthma are also obese. With the childhood obesity epidemic rising, we expect this percentage to increase meaning this problem of poor control will be seen more frequently in routine clinical practice.”

Christopher E. Brightling, PhD, professor of respiratory medicine at the University of Leicester (England), commented that “this is very good and fascinating research with findings that are important and novel.

“It sheds light on the complex interplay between genes, weight, and response to inhaled corticosteroids, underscoring the need to combine drug treatments with lifestyle and diet modifications. Policy makers, health care providers and families need to do much more to tackle the growing obesity epidemic in young people,” he said.

Dr. Brightling was not involved in the study.

The study was supported by the ERS and the European Union’s H2020 research and innovation program. Dr. Longo was a Horizon 2020 Marie-Sklodowska Cure Respire-3 fellow. Dr. Brightling reported no relevant disclosures.

Obese or overweight children with asthma could be using inhaled corticosteroids (ICS) to no avail, combined results from observational studies suggest.

Using Mendelian randomization, a method for reducing bias in observational studies, investigators from the University of Amsterdam Medical Center performed an analysis of data from four cross-sectional studies and one cohort study on a total of 1,511 children with asthma.

They showed that every 1-unit increase in the body mass index (BMI) z score was associated with a more than twofold higher odds ratio for exacerbation, reported Cristina Longo, PhD, a former postdoctoral fellow at AMC, and assistant professor of medicine at the University of Montreal.

“In this large, multicenter Mendelian randomization study, our findings support current evidence that children with higher BMI status respond inadequately to inhaled corticosteroids, and that this association is likely not explained by measured confounding or reverse causation,” she said in an oral abstract presentation during the European Respiratory Society International Congress.
 

Unmeasured confounding

The obese-asthma phenotype in children is characterized by reduced lung function, high symptom expression, poor response to ICS, and high health care utilization.

“While most observational studies suggest that weight status is associated with asthma exacerbations, despite using inhaled corticosteroids, it’s unclear whether these associations may be due to unmeasured confounding or reverse causation, which captures the idea that perhaps obesity is a consequence rather than a cause of uncontrolled severe asthma,” she said.

Traditional observational studies of the obesity-asthma link rely on comparing data on asthma in a target population and comparing nonobese patients with obese patients. The problem with this method, Dr. Longo contended, is that the exposure assignment – weight status – is not random, and could lead to bias from potential imbalance of confounders, leading to unintentionally biased results.

In contrast, Mendelian randomization uses genetic data to approximate random assignment of exposures, using a risk score for BMI based on genetic susceptibility. The score is based on the accumulation of genetic variants (single-nucleotide polymorphisms, or SNPs) that predispose individuals to obesity, with higher numbers of variants results in a higher risk score.

The scores are then used to determine the comparison groups for evaluating the obesity-asthma association.
 

Alphabet soup

Dr. Longo and colleagues analyzed data on a total 1,511 children enrolled in four observational studies (PACMAN, PAGES, HPR, CLARA) and one cohort study (ALSPAC).

They included children with an asthma diagnosis who used ICS and had available information on both BMI and genetics.

The Mendelian randomization analysis was based on a weighted allele score based on 97 SNPs predictive of BMI based on large-scale genomewide association studies. The exposure for the analysis was age- and sex-adjusted BMI z scores based on World Health Organization growth charts for children.

They found that using the Mendelian randomization approach, for each standard deviation increase in BMI, the OR for any parent-reported asthma exacerbations, including urgent care visits or use of oral corticosteroids, was 2.31 (95% confidence interval, 1.26-4.25).

In contrast, if the traditional observational model had been used, the OR would be a nonsignificant 1.10 (95% CI, 0.99-1.22).

“Treatment guidelines recommend steroids for children with asthma who have a higher-than-normal BMI,” Dr. Longo said in a statement. “Our research group felt that the one-size fits-all approach to treating children with asthma with inhaled steroids as their first-line treatment, particularly those with excess weight, warrants revision. At the very least, research identifying potential alternative treatments should be encouraged and prioritized, especially since 30% of children with asthma are also obese. With the childhood obesity epidemic rising, we expect this percentage to increase meaning this problem of poor control will be seen more frequently in routine clinical practice.”

Christopher E. Brightling, PhD, professor of respiratory medicine at the University of Leicester (England), commented that “this is very good and fascinating research with findings that are important and novel.

“It sheds light on the complex interplay between genes, weight, and response to inhaled corticosteroids, underscoring the need to combine drug treatments with lifestyle and diet modifications. Policy makers, health care providers and families need to do much more to tackle the growing obesity epidemic in young people,” he said.

Dr. Brightling was not involved in the study.

The study was supported by the ERS and the European Union’s H2020 research and innovation program. Dr. Longo was a Horizon 2020 Marie-Sklodowska Cure Respire-3 fellow. Dr. Brightling reported no relevant disclosures.

Obese or overweight children with asthma could be using inhaled corticosteroids (ICS) to no avail, combined results from observational studies suggest.

Using Mendelian randomization, a method for reducing bias in observational studies, investigators from the University of Amsterdam Medical Center performed an analysis of data from four cross-sectional studies and one cohort study on a total of 1,511 children with asthma.

They showed that every 1-unit increase in the body mass index (BMI) z score was associated with a more than twofold higher odds ratio for exacerbation, reported Cristina Longo, PhD, a former postdoctoral fellow at AMC, and assistant professor of medicine at the University of Montreal.

“In this large, multicenter Mendelian randomization study, our findings support current evidence that children with higher BMI status respond inadequately to inhaled corticosteroids, and that this association is likely not explained by measured confounding or reverse causation,” she said in an oral abstract presentation during the European Respiratory Society International Congress.
 

Unmeasured confounding

The obese-asthma phenotype in children is characterized by reduced lung function, high symptom expression, poor response to ICS, and high health care utilization.

“While most observational studies suggest that weight status is associated with asthma exacerbations, despite using inhaled corticosteroids, it’s unclear whether these associations may be due to unmeasured confounding or reverse causation, which captures the idea that perhaps obesity is a consequence rather than a cause of uncontrolled severe asthma,” she said.

Traditional observational studies of the obesity-asthma link rely on comparing data on asthma in a target population and comparing nonobese patients with obese patients. The problem with this method, Dr. Longo contended, is that the exposure assignment – weight status – is not random, and could lead to bias from potential imbalance of confounders, leading to unintentionally biased results.

In contrast, Mendelian randomization uses genetic data to approximate random assignment of exposures, using a risk score for BMI based on genetic susceptibility. The score is based on the accumulation of genetic variants (single-nucleotide polymorphisms, or SNPs) that predispose individuals to obesity, with higher numbers of variants results in a higher risk score.

The scores are then used to determine the comparison groups for evaluating the obesity-asthma association.
 

Alphabet soup

Dr. Longo and colleagues analyzed data on a total 1,511 children enrolled in four observational studies (PACMAN, PAGES, HPR, CLARA) and one cohort study (ALSPAC).

They included children with an asthma diagnosis who used ICS and had available information on both BMI and genetics.

The Mendelian randomization analysis was based on a weighted allele score based on 97 SNPs predictive of BMI based on large-scale genomewide association studies. The exposure for the analysis was age- and sex-adjusted BMI z scores based on World Health Organization growth charts for children.

They found that using the Mendelian randomization approach, for each standard deviation increase in BMI, the OR for any parent-reported asthma exacerbations, including urgent care visits or use of oral corticosteroids, was 2.31 (95% confidence interval, 1.26-4.25).

In contrast, if the traditional observational model had been used, the OR would be a nonsignificant 1.10 (95% CI, 0.99-1.22).

“Treatment guidelines recommend steroids for children with asthma who have a higher-than-normal BMI,” Dr. Longo said in a statement. “Our research group felt that the one-size fits-all approach to treating children with asthma with inhaled steroids as their first-line treatment, particularly those with excess weight, warrants revision. At the very least, research identifying potential alternative treatments should be encouraged and prioritized, especially since 30% of children with asthma are also obese. With the childhood obesity epidemic rising, we expect this percentage to increase meaning this problem of poor control will be seen more frequently in routine clinical practice.”

Christopher E. Brightling, PhD, professor of respiratory medicine at the University of Leicester (England), commented that “this is very good and fascinating research with findings that are important and novel.

“It sheds light on the complex interplay between genes, weight, and response to inhaled corticosteroids, underscoring the need to combine drug treatments with lifestyle and diet modifications. Policy makers, health care providers and families need to do much more to tackle the growing obesity epidemic in young people,” he said.

Dr. Brightling was not involved in the study.

The study was supported by the ERS and the European Union’s H2020 research and innovation program. Dr. Longo was a Horizon 2020 Marie-Sklodowska Cure Respire-3 fellow. Dr. Brightling reported no relevant disclosures.

For middle-aged individuals, walking at least 7,000 steps per day may reduce mortality risk up to 70%, based on prospective data from more than 2,000 people.

Findings were consistent regardless of race or sex, and step intensity had no impact on mortality risk, reported lead author Amanda E. Paluch, PhD, of the University of Massachusetts Amherst, and colleagues.

“In response to the need for empirical data on the associations of step volume and intensity with mortality in younger and diverse populations, we conducted a prospective study in middle-aged Black and White adults followed up for mortality for approximately 11 years,” the investigators wrote in JAMA Network Open. “The objectives of our study were to examine the associations of step volume and intensity with mortality overall and by race and sex.”
 

Steps per day is easy to communicate

Dr. Paluch noted that steps per day is a “very appealing metric to quantify activity,” for both researchers and laypeople.

“Steps per day is simple and easy to communicate in public health and clinical settings,” Dr. Paluch said in an interview. “Additionally, the dramatic growth of wearable devices measuring steps makes it appealing and broadens the reach of promoting physical activity to many individuals. Walking is an activity that most of the general population can pursue. It can also be accumulated throughout daily living and may seem more achievable to fit into busy lives than a structured exercise session.”

The present investigation was conducted as part of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. The dataset included 2,110 participants ranging from 38-50 years of age, with a mean age of 45.2 years. A slightly higher proportion of the subjects were women (57.1%) and White (57.9%).

All participants wore an ActiGraph 7164 accelerometer for 1 week and were then followed for death of any cause, with a mean follow-up of 10.8 years. Multivariable-adjusted Cox proportional hazards models included a range of covariates, such as smoking history, body weight, alcohol intake, blood pressure, total cholesterol, and others. Step counts were grouped into low (less than 7,000 steps per day), moderate (7,000-9,999), and high (at least 10,000 steps per day) categories.

Compared with individuals who took less than 7,000 steps per day, those who took 7,000-9,000 steps per day had a 72% reduced risk of mortality (hazard ratio, 0.28; 95% confidence interval, 0.15-0.54). Going beyond 10,000 steps appeared to add no benefit, based on a 55% lower risk of all-cause mortality in the highly active group, compared with those taking less than 7,000 steps per day (HR, 0.45; 95% CI, 0.25-0.81).

Walking faster didn’t appear to help either, as stepping intensity was not associated with mortality risk; however, Dr. Paluch urged a cautious interpretation of this finding, calling it “inconclusive,” and suggesting that more research is needed.

“It is also important to note that this study only looked at premature all-cause mortality, and therefore the results may be different for other health outcomes, such as the risk of cardiovascular disease, or diabetes, cancer, or mental health outcomes,” Dr. Paluch said.

“The results from our study demonstrated that those who are least active have the most to gain,” Dr. Paluch said. “Even small incremental increases in steps per day are associated with a lower mortality risk during middle age. A walking plan that gradually works up toward 7,000-10,000 steps per day in middle-aged adults may have health benefits and lower the risk of premature mortality.”
 

Causality cannot be confirmed

According to Raed A. Joundi, MD, DPhil, of the University of Calgary (Alta.), the study size, diverse population, and length of follow-up should increase confidence in the findings, although a causal relationship remains elusive.

“As this study is observational, causality between step count and mortality cannot be confirmed; however, the authors accounted for many factors, and the association was consistent in different analyses and with prior literature,” Dr. Joundi said in an interview. “The authors did not assess the risk of other important events like stroke and heart attack, and these could be addressed in a future study.”

Dr. Joundi, who recently published a study linking exercise with a 50% reduction in mortality after stroke, noted that “physical activity has innumerable benefits, and it’s important that people engage in activity that can be regular and consistent, regardless of the type or intensity.”

To this end, he highlighted the use of “devices capable of monitoring step count, which can be an important motivational tool,” and suggested that these findings may bring a sigh of relief to step counters who come up a little short on a common daily goal.

“A target of 10,000 steps is often used for public health promotion, and this study now provides convincing observational evidence that it may be an optimal step count target for mortality reduction,” Dr. Joundi said. “However, if 10,000 steps per day is not feasible, 7,000 steps seems to be a very reasonable target given its association with markedly lower mortality in this study.”
 

Not all step counters are equal

Unfortunately, such recommendations are complicated by uncertainty in measurement, as widely used step counting devices, like smart watches, may not yield the same results as research-grade accelerometers, according to Nicole L. Spartano, PhD, of Boston University.

“Many comparison studies have been conducted in laboratory settings among young healthy adults, but these do not necessarily reflect real-life wear experiences that will be generalizable to the population as a whole,” Dr. Spartano wrote in an accompanying editorial.

She called for large-scale comparison studies to compare research-grade and consumer devices.

“The reason for conducting comparison studies is not to develop distinct guidelines for different devices or subgroups of the population, but rather to understand the variability so that we can develop one clear message that is most appropriate to the public,” Dr. Spartano wrote. “Some devices may have bias in terms of step measurement at different activity intensity and may not record steps as accurately in older adults or individuals with obesity or mobility disorders. For example, when adults who were obese wore an ActiGraph monitor in a laboratory setting, the device only recorded 80% of steps walked at a moderate pace, while other devices recorded close to 100% of steps walked. If we in the public health community are to move toward using these devices more for physical activity prescription, these details will need to be explored in more depth.”

CARDIA was conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham, Northwestern University, the University of Minnesota, and the Kaiser Foundation Research Institute. Some study authors received grants from the National Institutes of Health and the Kaiser Foundation Research Institute. Dr Spartano disclosed relationships with Novo Nordisk, the American Heart Association, the Alzheimer’s Association, and the National Institutes of Health. Dr. Joundi and Dr. Paluch disclosed no relevant financial relationships.

For middle-aged individuals, walking at least 7,000 steps per day may reduce mortality risk up to 70%, based on prospective data from more than 2,000 people.

Findings were consistent regardless of race or sex, and step intensity had no impact on mortality risk, reported lead author Amanda E. Paluch, PhD, of the University of Massachusetts Amherst, and colleagues.

“In response to the need for empirical data on the associations of step volume and intensity with mortality in younger and diverse populations, we conducted a prospective study in middle-aged Black and White adults followed up for mortality for approximately 11 years,” the investigators wrote in JAMA Network Open. “The objectives of our study were to examine the associations of step volume and intensity with mortality overall and by race and sex.”
 

Steps per day is easy to communicate

Dr. Paluch noted that steps per day is a “very appealing metric to quantify activity,” for both researchers and laypeople.

“Steps per day is simple and easy to communicate in public health and clinical settings,” Dr. Paluch said in an interview. “Additionally, the dramatic growth of wearable devices measuring steps makes it appealing and broadens the reach of promoting physical activity to many individuals. Walking is an activity that most of the general population can pursue. It can also be accumulated throughout daily living and may seem more achievable to fit into busy lives than a structured exercise session.”

The present investigation was conducted as part of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. The dataset included 2,110 participants ranging from 38-50 years of age, with a mean age of 45.2 years. A slightly higher proportion of the subjects were women (57.1%) and White (57.9%).

All participants wore an ActiGraph 7164 accelerometer for 1 week and were then followed for death of any cause, with a mean follow-up of 10.8 years. Multivariable-adjusted Cox proportional hazards models included a range of covariates, such as smoking history, body weight, alcohol intake, blood pressure, total cholesterol, and others. Step counts were grouped into low (less than 7,000 steps per day), moderate (7,000-9,999), and high (at least 10,000 steps per day) categories.

Compared with individuals who took less than 7,000 steps per day, those who took 7,000-9,000 steps per day had a 72% reduced risk of mortality (hazard ratio, 0.28; 95% confidence interval, 0.15-0.54). Going beyond 10,000 steps appeared to add no benefit, based on a 55% lower risk of all-cause mortality in the highly active group, compared with those taking less than 7,000 steps per day (HR, 0.45; 95% CI, 0.25-0.81).

Walking faster didn’t appear to help either, as stepping intensity was not associated with mortality risk; however, Dr. Paluch urged a cautious interpretation of this finding, calling it “inconclusive,” and suggesting that more research is needed.

“It is also important to note that this study only looked at premature all-cause mortality, and therefore the results may be different for other health outcomes, such as the risk of cardiovascular disease, or diabetes, cancer, or mental health outcomes,” Dr. Paluch said.

“The results from our study demonstrated that those who are least active have the most to gain,” Dr. Paluch said. “Even small incremental increases in steps per day are associated with a lower mortality risk during middle age. A walking plan that gradually works up toward 7,000-10,000 steps per day in middle-aged adults may have health benefits and lower the risk of premature mortality.”
 

Causality cannot be confirmed

According to Raed A. Joundi, MD, DPhil, of the University of Calgary (Alta.), the study size, diverse population, and length of follow-up should increase confidence in the findings, although a causal relationship remains elusive.

“As this study is observational, causality between step count and mortality cannot be confirmed; however, the authors accounted for many factors, and the association was consistent in different analyses and with prior literature,” Dr. Joundi said in an interview. “The authors did not assess the risk of other important events like stroke and heart attack, and these could be addressed in a future study.”

Dr. Joundi, who recently published a study linking exercise with a 50% reduction in mortality after stroke, noted that “physical activity has innumerable benefits, and it’s important that people engage in activity that can be regular and consistent, regardless of the type or intensity.”

To this end, he highlighted the use of “devices capable of monitoring step count, which can be an important motivational tool,” and suggested that these findings may bring a sigh of relief to step counters who come up a little short on a common daily goal.

“A target of 10,000 steps is often used for public health promotion, and this study now provides convincing observational evidence that it may be an optimal step count target for mortality reduction,” Dr. Joundi said. “However, if 10,000 steps per day is not feasible, 7,000 steps seems to be a very reasonable target given its association with markedly lower mortality in this study.”
 

Not all step counters are equal

Unfortunately, such recommendations are complicated by uncertainty in measurement, as widely used step counting devices, like smart watches, may not yield the same results as research-grade accelerometers, according to Nicole L. Spartano, PhD, of Boston University.

“Many comparison studies have been conducted in laboratory settings among young healthy adults, but these do not necessarily reflect real-life wear experiences that will be generalizable to the population as a whole,” Dr. Spartano wrote in an accompanying editorial.

She called for large-scale comparison studies to compare research-grade and consumer devices.

“The reason for conducting comparison studies is not to develop distinct guidelines for different devices or subgroups of the population, but rather to understand the variability so that we can develop one clear message that is most appropriate to the public,” Dr. Spartano wrote. “Some devices may have bias in terms of step measurement at different activity intensity and may not record steps as accurately in older adults or individuals with obesity or mobility disorders. For example, when adults who were obese wore an ActiGraph monitor in a laboratory setting, the device only recorded 80% of steps walked at a moderate pace, while other devices recorded close to 100% of steps walked. If we in the public health community are to move toward using these devices more for physical activity prescription, these details will need to be explored in more depth.”

CARDIA was conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham, Northwestern University, the University of Minnesota, and the Kaiser Foundation Research Institute. Some study authors received grants from the National Institutes of Health and the Kaiser Foundation Research Institute. Dr Spartano disclosed relationships with Novo Nordisk, the American Heart Association, the Alzheimer’s Association, and the National Institutes of Health. Dr. Joundi and Dr. Paluch disclosed no relevant financial relationships.

For middle-aged individuals, walking at least 7,000 steps per day may reduce mortality risk up to 70%, based on prospective data from more than 2,000 people.

Findings were consistent regardless of race or sex, and step intensity had no impact on mortality risk, reported lead author Amanda E. Paluch, PhD, of the University of Massachusetts Amherst, and colleagues.

“In response to the need for empirical data on the associations of step volume and intensity with mortality in younger and diverse populations, we conducted a prospective study in middle-aged Black and White adults followed up for mortality for approximately 11 years,” the investigators wrote in JAMA Network Open. “The objectives of our study were to examine the associations of step volume and intensity with mortality overall and by race and sex.”
 

Steps per day is easy to communicate

Dr. Paluch noted that steps per day is a “very appealing metric to quantify activity,” for both researchers and laypeople.

“Steps per day is simple and easy to communicate in public health and clinical settings,” Dr. Paluch said in an interview. “Additionally, the dramatic growth of wearable devices measuring steps makes it appealing and broadens the reach of promoting physical activity to many individuals. Walking is an activity that most of the general population can pursue. It can also be accumulated throughout daily living and may seem more achievable to fit into busy lives than a structured exercise session.”

The present investigation was conducted as part of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. The dataset included 2,110 participants ranging from 38-50 years of age, with a mean age of 45.2 years. A slightly higher proportion of the subjects were women (57.1%) and White (57.9%).

All participants wore an ActiGraph 7164 accelerometer for 1 week and were then followed for death of any cause, with a mean follow-up of 10.8 years. Multivariable-adjusted Cox proportional hazards models included a range of covariates, such as smoking history, body weight, alcohol intake, blood pressure, total cholesterol, and others. Step counts were grouped into low (less than 7,000 steps per day), moderate (7,000-9,999), and high (at least 10,000 steps per day) categories.

Compared with individuals who took less than 7,000 steps per day, those who took 7,000-9,000 steps per day had a 72% reduced risk of mortality (hazard ratio, 0.28; 95% confidence interval, 0.15-0.54). Going beyond 10,000 steps appeared to add no benefit, based on a 55% lower risk of all-cause mortality in the highly active group, compared with those taking less than 7,000 steps per day (HR, 0.45; 95% CI, 0.25-0.81).

Walking faster didn’t appear to help either, as stepping intensity was not associated with mortality risk; however, Dr. Paluch urged a cautious interpretation of this finding, calling it “inconclusive,” and suggesting that more research is needed.

“It is also important to note that this study only looked at premature all-cause mortality, and therefore the results may be different for other health outcomes, such as the risk of cardiovascular disease, or diabetes, cancer, or mental health outcomes,” Dr. Paluch said.

“The results from our study demonstrated that those who are least active have the most to gain,” Dr. Paluch said. “Even small incremental increases in steps per day are associated with a lower mortality risk during middle age. A walking plan that gradually works up toward 7,000-10,000 steps per day in middle-aged adults may have health benefits and lower the risk of premature mortality.”
 

Causality cannot be confirmed

According to Raed A. Joundi, MD, DPhil, of the University of Calgary (Alta.), the study size, diverse population, and length of follow-up should increase confidence in the findings, although a causal relationship remains elusive.

“As this study is observational, causality between step count and mortality cannot be confirmed; however, the authors accounted for many factors, and the association was consistent in different analyses and with prior literature,” Dr. Joundi said in an interview. “The authors did not assess the risk of other important events like stroke and heart attack, and these could be addressed in a future study.”

Dr. Joundi, who recently published a study linking exercise with a 50% reduction in mortality after stroke, noted that “physical activity has innumerable benefits, and it’s important that people engage in activity that can be regular and consistent, regardless of the type or intensity.”

To this end, he highlighted the use of “devices capable of monitoring step count, which can be an important motivational tool,” and suggested that these findings may bring a sigh of relief to step counters who come up a little short on a common daily goal.

“A target of 10,000 steps is often used for public health promotion, and this study now provides convincing observational evidence that it may be an optimal step count target for mortality reduction,” Dr. Joundi said. “However, if 10,000 steps per day is not feasible, 7,000 steps seems to be a very reasonable target given its association with markedly lower mortality in this study.”
 

Not all step counters are equal

Unfortunately, such recommendations are complicated by uncertainty in measurement, as widely used step counting devices, like smart watches, may not yield the same results as research-grade accelerometers, according to Nicole L. Spartano, PhD, of Boston University.

“Many comparison studies have been conducted in laboratory settings among young healthy adults, but these do not necessarily reflect real-life wear experiences that will be generalizable to the population as a whole,” Dr. Spartano wrote in an accompanying editorial.

She called for large-scale comparison studies to compare research-grade and consumer devices.

“The reason for conducting comparison studies is not to develop distinct guidelines for different devices or subgroups of the population, but rather to understand the variability so that we can develop one clear message that is most appropriate to the public,” Dr. Spartano wrote. “Some devices may have bias in terms of step measurement at different activity intensity and may not record steps as accurately in older adults or individuals with obesity or mobility disorders. For example, when adults who were obese wore an ActiGraph monitor in a laboratory setting, the device only recorded 80% of steps walked at a moderate pace, while other devices recorded close to 100% of steps walked. If we in the public health community are to move toward using these devices more for physical activity prescription, these details will need to be explored in more depth.”

CARDIA was conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham, Northwestern University, the University of Minnesota, and the Kaiser Foundation Research Institute. Some study authors received grants from the National Institutes of Health and the Kaiser Foundation Research Institute. Dr Spartano disclosed relationships with Novo Nordisk, the American Heart Association, the Alzheimer’s Association, and the National Institutes of Health. Dr. Joundi and Dr. Paluch disclosed no relevant financial relationships.

A new joint consensus statement by four major diabetes organizations aims to standardize the terminology, definition, and assessment to the phenomenon of diabetes “remission.”

The statement was jointly issued by the American Diabetes Association, the Endocrine Society, the European Association for the Study of Diabetes, and Diabetes UK.

The 12-member international writing panel proposed use of the term “remission,” as opposed to others such as “reversal,” “resolution,” or “cure,” to describe the phenomenon of prolonged normoglycemia without the use of glucose-lowering medication in a person previously diagnosed with type 2 diabetes.

“Diabetes remission may be occurring more often due to advances in treatment,” writing group member Amy Rothberg, MD, of the University of Michigan, Ann Arbor, said in a statement.

The group defined “remission” – whether attained via lifestyle, bariatric surgery, or other means – as an A1c < 6.5% (< 48 mmol/mol) at least 3 months after cessation of glucose-lowering pharmacotherapy. The panel also suggested monitoring individuals experiencing diabetes remission and raised questions that need further attention and study.

But it’s not a guideline, panel chair Matthew C. Riddle, MD, said in an interview. Rather, the “main purpose of the statement was to provide definitions, terminology, cut-points, and timing recommendations to allow data collection that will eventually lead to clinical guidelines,” he said.

A great deal of epidemiological research is conducted by analyzing data from medical records, he noted. “If clinicians are more consistent in entering data into the records and in doing measurements, it will be a better database.”
 

Remission reality: Advice needed for deprescribing, talking to patients

“Increasingly our treatments are getting glucose levels into the normal range, and in many cases, even after withdrawal of drug therapy. That’s not an anomaly or a fiction, it’s reality. Clinicians need to know how to talk to their patients about it,” noted Dr. Riddle, of the division of endocrinology, diabetes, and clinical nutrition at Oregon Health & Science University, Portland.

There is a need for data on the effects of deprescribing once normoglycemia is achieved, he said. “It really goes a long way to have strong epidemiological and interventional evidence. That’s what we need here, and that’s what the group is really hoping for.”

The statement recommends the following:

• The term “remission” should be used to describe a sustained metabolic improvement in type 2 diabetes to near normal levels. The panel agreed the word strikes the best balance, given that insulin resistance and beta-cell dysfunction may still be present despite normoglycemia. “Diabetes doesn’t get cured. The underlying abnormalities are still there. Remission is defined by glucose,” Dr. Riddle said. The panel also decided to do away with ADA’s former terms “partial,” “complete,” and “prolonged” remission because they are ambiguous and unhelpful. 
• Remission should be defined as a return to an A1c of < 6.5% (< 48 mmol/mol) – the threshold used to diagnose diabetes – spontaneously or following an intervention and that persists for at least 3 months in the absence of usual glucose-lowering medication.
• When A1c may be unreliable, such as conditions involving variant hemoglobin or erythrocyte survival alterations, acceptable alternatives are a fasting blood glucose < 126 mg/dL (< 7.0 mmol/L) or an estimated A1c < 6.5% calculated from continuous glucose monitoring data.
• A1c testing to document a remission should be performed just prior to an intervention and no sooner than 3 months after initiation of the intervention and withdrawal of any glucose-lowering medication.
• Subsequent ongoing A1c testing should be done at least yearly thereafter, along with routine monitoring for diabetes-related complications, including retinal screening, renal function assessment, foot exams, and cardiovascular risk factor testing. “At present, there is no long-term evidence indicating that any of the usually recommended assessments for complications can safely be discontinued,” the authors wrote.
• Research based on the terminology and definitions in the present statement is needed to determine the frequency, duration, and effects on short- and long-term medical outcomes of type 2 diabetes remissions using available interventions.

Dr. Riddle said in an interview: “We thought that the clinical community needed to understand where this issue stands right now. The feasibility of a remission is greater than it used to be.

“We’re going to see more patients who have what we can now call a remission according to a standardized definition. In the future, there are likely to be guidelines regarding the kind of patients and the kind of tactics appropriate for seeking a remission,” he said.

The statement was simultaneously published online in each of the organizations’ respective journals: Diabetes Care, Journal of Clinical Endocrinology & Metabolism, Diabetologia, and Diabetic Medicine.

Dr. Riddle has reported receiving research grant support through Oregon Health & Science University from Eli Lilly, Novo Nordisk, and AstraZeneca and honoraria for consulting from Adocia, Intercept, and Theracos.

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

A new joint consensus statement by four major diabetes organizations aims to standardize the terminology, definition, and assessment to the phenomenon of diabetes “remission.”

The statement was jointly issued by the American Diabetes Association, the Endocrine Society, the European Association for the Study of Diabetes, and Diabetes UK.

The 12-member international writing panel proposed use of the term “remission,” as opposed to others such as “reversal,” “resolution,” or “cure,” to describe the phenomenon of prolonged normoglycemia without the use of glucose-lowering medication in a person previously diagnosed with type 2 diabetes.

“Diabetes remission may be occurring more often due to advances in treatment,” writing group member Amy Rothberg, MD, of the University of Michigan, Ann Arbor, said in a statement.

The group defined “remission” – whether attained via lifestyle, bariatric surgery, or other means – as an A1c < 6.5% (< 48 mmol/mol) at least 3 months after cessation of glucose-lowering pharmacotherapy. The panel also suggested monitoring individuals experiencing diabetes remission and raised questions that need further attention and study.

But it’s not a guideline, panel chair Matthew C. Riddle, MD, said in an interview. Rather, the “main purpose of the statement was to provide definitions, terminology, cut-points, and timing recommendations to allow data collection that will eventually lead to clinical guidelines,” he said.

A great deal of epidemiological research is conducted by analyzing data from medical records, he noted. “If clinicians are more consistent in entering data into the records and in doing measurements, it will be a better database.”
 

Remission reality: Advice needed for deprescribing, talking to patients

“Increasingly our treatments are getting glucose levels into the normal range, and in many cases, even after withdrawal of drug therapy. That’s not an anomaly or a fiction, it’s reality. Clinicians need to know how to talk to their patients about it,” noted Dr. Riddle, of the division of endocrinology, diabetes, and clinical nutrition at Oregon Health & Science University, Portland.

There is a need for data on the effects of deprescribing once normoglycemia is achieved, he said. “It really goes a long way to have strong epidemiological and interventional evidence. That’s what we need here, and that’s what the group is really hoping for.”

The statement recommends the following:

• The term “remission” should be used to describe a sustained metabolic improvement in type 2 diabetes to near normal levels. The panel agreed the word strikes the best balance, given that insulin resistance and beta-cell dysfunction may still be present despite normoglycemia. “Diabetes doesn’t get cured. The underlying abnormalities are still there. Remission is defined by glucose,” Dr. Riddle said. The panel also decided to do away with ADA’s former terms “partial,” “complete,” and “prolonged” remission because they are ambiguous and unhelpful. 
• Remission should be defined as a return to an A1c of < 6.5% (< 48 mmol/mol) – the threshold used to diagnose diabetes – spontaneously or following an intervention and that persists for at least 3 months in the absence of usual glucose-lowering medication.
• When A1c may be unreliable, such as conditions involving variant hemoglobin or erythrocyte survival alterations, acceptable alternatives are a fasting blood glucose < 126 mg/dL (< 7.0 mmol/L) or an estimated A1c < 6.5% calculated from continuous glucose monitoring data.
• A1c testing to document a remission should be performed just prior to an intervention and no sooner than 3 months after initiation of the intervention and withdrawal of any glucose-lowering medication.
• Subsequent ongoing A1c testing should be done at least yearly thereafter, along with routine monitoring for diabetes-related complications, including retinal screening, renal function assessment, foot exams, and cardiovascular risk factor testing. “At present, there is no long-term evidence indicating that any of the usually recommended assessments for complications can safely be discontinued,” the authors wrote.
• Research based on the terminology and definitions in the present statement is needed to determine the frequency, duration, and effects on short- and long-term medical outcomes of type 2 diabetes remissions using available interventions.

Dr. Riddle said in an interview: “We thought that the clinical community needed to understand where this issue stands right now. The feasibility of a remission is greater than it used to be.

“We’re going to see more patients who have what we can now call a remission according to a standardized definition. In the future, there are likely to be guidelines regarding the kind of patients and the kind of tactics appropriate for seeking a remission,” he said.

The statement was simultaneously published online in each of the organizations’ respective journals: Diabetes Care, Journal of Clinical Endocrinology & Metabolism, Diabetologia, and Diabetic Medicine.

Dr. Riddle has reported receiving research grant support through Oregon Health & Science University from Eli Lilly, Novo Nordisk, and AstraZeneca and honoraria for consulting from Adocia, Intercept, and Theracos.

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

A new joint consensus statement by four major diabetes organizations aims to standardize the terminology, definition, and assessment to the phenomenon of diabetes “remission.”

The statement was jointly issued by the American Diabetes Association, the Endocrine Society, the European Association for the Study of Diabetes, and Diabetes UK.

The 12-member international writing panel proposed use of the term “remission,” as opposed to others such as “reversal,” “resolution,” or “cure,” to describe the phenomenon of prolonged normoglycemia without the use of glucose-lowering medication in a person previously diagnosed with type 2 diabetes.

“Diabetes remission may be occurring more often due to advances in treatment,” writing group member Amy Rothberg, MD, of the University of Michigan, Ann Arbor, said in a statement.

The group defined “remission” – whether attained via lifestyle, bariatric surgery, or other means – as an A1c < 6.5% (< 48 mmol/mol) at least 3 months after cessation of glucose-lowering pharmacotherapy. The panel also suggested monitoring individuals experiencing diabetes remission and raised questions that need further attention and study.

But it’s not a guideline, panel chair Matthew C. Riddle, MD, said in an interview. Rather, the “main purpose of the statement was to provide definitions, terminology, cut-points, and timing recommendations to allow data collection that will eventually lead to clinical guidelines,” he said.

A great deal of epidemiological research is conducted by analyzing data from medical records, he noted. “If clinicians are more consistent in entering data into the records and in doing measurements, it will be a better database.”
 

Remission reality: Advice needed for deprescribing, talking to patients

“Increasingly our treatments are getting glucose levels into the normal range, and in many cases, even after withdrawal of drug therapy. That’s not an anomaly or a fiction, it’s reality. Clinicians need to know how to talk to their patients about it,” noted Dr. Riddle, of the division of endocrinology, diabetes, and clinical nutrition at Oregon Health & Science University, Portland.

There is a need for data on the effects of deprescribing once normoglycemia is achieved, he said. “It really goes a long way to have strong epidemiological and interventional evidence. That’s what we need here, and that’s what the group is really hoping for.”

The statement recommends the following:

• The term “remission” should be used to describe a sustained metabolic improvement in type 2 diabetes to near normal levels. The panel agreed the word strikes the best balance, given that insulin resistance and beta-cell dysfunction may still be present despite normoglycemia. “Diabetes doesn’t get cured. The underlying abnormalities are still there. Remission is defined by glucose,” Dr. Riddle said. The panel also decided to do away with ADA’s former terms “partial,” “complete,” and “prolonged” remission because they are ambiguous and unhelpful. 
• Remission should be defined as a return to an A1c of < 6.5% (< 48 mmol/mol) – the threshold used to diagnose diabetes – spontaneously or following an intervention and that persists for at least 3 months in the absence of usual glucose-lowering medication.
• When A1c may be unreliable, such as conditions involving variant hemoglobin or erythrocyte survival alterations, acceptable alternatives are a fasting blood glucose < 126 mg/dL (< 7.0 mmol/L) or an estimated A1c < 6.5% calculated from continuous glucose monitoring data.
• A1c testing to document a remission should be performed just prior to an intervention and no sooner than 3 months after initiation of the intervention and withdrawal of any glucose-lowering medication.
• Subsequent ongoing A1c testing should be done at least yearly thereafter, along with routine monitoring for diabetes-related complications, including retinal screening, renal function assessment, foot exams, and cardiovascular risk factor testing. “At present, there is no long-term evidence indicating that any of the usually recommended assessments for complications can safely be discontinued,” the authors wrote.
• Research based on the terminology and definitions in the present statement is needed to determine the frequency, duration, and effects on short- and long-term medical outcomes of type 2 diabetes remissions using available interventions.

Dr. Riddle said in an interview: “We thought that the clinical community needed to understand where this issue stands right now. The feasibility of a remission is greater than it used to be.

“We’re going to see more patients who have what we can now call a remission according to a standardized definition. In the future, there are likely to be guidelines regarding the kind of patients and the kind of tactics appropriate for seeking a remission,” he said.

The statement was simultaneously published online in each of the organizations’ respective journals: Diabetes Care, Journal of Clinical Endocrinology & Metabolism, Diabetologia, and Diabetic Medicine.

Dr. Riddle has reported receiving research grant support through Oregon Health & Science University from Eli Lilly, Novo Nordisk, and AstraZeneca and honoraria for consulting from Adocia, Intercept, and Theracos.

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

Not sure if you’ve heard the news, but eating a single hot dog will apparently cost you 36 minutes of healthy life. My first thought when hearing this was of course the same as everyone else’s: Poor Joey Chestnut, multiyear winner of Nathan’s annual hot dog–eating contest.

He won this year’s contest with 76 hot dogs, which puts his total number of competition-consumed hot dogs at 1,089 – which cost him, it would seem, 27.2 days of healthy life. Unless, of course, every hot dog he inhaled came with a bun hosting two portions of sesame seeds, which in turn would buy him 50 extra minutes of life (25 minutes per portion, you see) and would consequently have extended his life by 10.6 days.

Clearly, the obvious solution here is to ensure that all hot dog buns have two portions of sesame seeds on them moving forward; that way, hot dogs can transition from being poisonous killers to antiaging medicine.

The other solution, albeit less exciting, perhaps, is for researchers to stop studying single foods’ impacts on health, and/or for journals to stop publishing them, and/or for the media to stop promoting them – because they are all as ridiculously useless as the example above highlighting findings from a newly published study in Nature Food, entitled “Small targeted dietary changes can yield substantial gains for human health and the environment.”

While no doubt we would all love for diet and health to be so well understood that we could choose specific single foods (knowing that they would prolong our lives) while avoiding single foods that would shorten it, there’s this unfortunate truth that the degree of confounding among food alone is staggering. People eat thousands of different foods in thousands of different dietary combinations. Moreover, most (all?) research conducted on dietary impacts of single foods on health don’t actually track consumption of those specific foods over time, let alone their interactions with all other foods consumed, but rather at moments in time.

In the case of the “hot dogs will kill you unless there are sesame seeds on your bun” article, for example, the researchers utilized one solitary dietary recall session upon which to base their ridiculously specific, ridiculous conclusions.

People’s diets also change over time for various reasons, and of course people themselves are very different. You might imagine that people whose diets are rich in chicken wings, sugared soda, and hot dogs will have markedly different lifestyles and demographics than those whose diets are rich in walnuts, sashimi, and avocados.

So why do we keep seeing studies like this being published? Is it because they’re basically clickbait catnip for journals and newspapers, and in our publish-or-perish attention-seeking world, that means they not only get a pass but they get a press release? Is it because peer review is broken and everyone knows it? Is it because as a society, we’re frogs who have been steeping for decades in the ever-heated pot of nutritional nonsense, and consequently don’t think to question it?

I don’t know the answer to any of those questions, but one thing I do know: Studies on single foods’ impact on life length are pointless, impossible, and idiotic, and people who share them noncritically should be forever shunned – or at the very least, forever ignored.

Yoni Freedhoff, MD, is an associate professor of family medicine at the University of Ottawa and medical director of the Bariatric Medical Institute, a nonsurgical weight-management center.

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

Not sure if you’ve heard the news, but eating a single hot dog will apparently cost you 36 minutes of healthy life. My first thought when hearing this was of course the same as everyone else’s: Poor Joey Chestnut, multiyear winner of Nathan’s annual hot dog–eating contest.

He won this year’s contest with 76 hot dogs, which puts his total number of competition-consumed hot dogs at 1,089 – which cost him, it would seem, 27.2 days of healthy life. Unless, of course, every hot dog he inhaled came with a bun hosting two portions of sesame seeds, which in turn would buy him 50 extra minutes of life (25 minutes per portion, you see) and would consequently have extended his life by 10.6 days.

Clearly, the obvious solution here is to ensure that all hot dog buns have two portions of sesame seeds on them moving forward; that way, hot dogs can transition from being poisonous killers to antiaging medicine.

The other solution, albeit less exciting, perhaps, is for researchers to stop studying single foods’ impacts on health, and/or for journals to stop publishing them, and/or for the media to stop promoting them – because they are all as ridiculously useless as the example above highlighting findings from a newly published study in Nature Food, entitled “Small targeted dietary changes can yield substantial gains for human health and the environment.”

While no doubt we would all love for diet and health to be so well understood that we could choose specific single foods (knowing that they would prolong our lives) while avoiding single foods that would shorten it, there’s this unfortunate truth that the degree of confounding among food alone is staggering. People eat thousands of different foods in thousands of different dietary combinations. Moreover, most (all?) research conducted on dietary impacts of single foods on health don’t actually track consumption of those specific foods over time, let alone their interactions with all other foods consumed, but rather at moments in time.

In the case of the “hot dogs will kill you unless there are sesame seeds on your bun” article, for example, the researchers utilized one solitary dietary recall session upon which to base their ridiculously specific, ridiculous conclusions.

People’s diets also change over time for various reasons, and of course people themselves are very different. You might imagine that people whose diets are rich in chicken wings, sugared soda, and hot dogs will have markedly different lifestyles and demographics than those whose diets are rich in walnuts, sashimi, and avocados.

So why do we keep seeing studies like this being published? Is it because they’re basically clickbait catnip for journals and newspapers, and in our publish-or-perish attention-seeking world, that means they not only get a pass but they get a press release? Is it because peer review is broken and everyone knows it? Is it because as a society, we’re frogs who have been steeping for decades in the ever-heated pot of nutritional nonsense, and consequently don’t think to question it?

I don’t know the answer to any of those questions, but one thing I do know: Studies on single foods’ impact on life length are pointless, impossible, and idiotic, and people who share them noncritically should be forever shunned – or at the very least, forever ignored.

Yoni Freedhoff, MD, is an associate professor of family medicine at the University of Ottawa and medical director of the Bariatric Medical Institute, a nonsurgical weight-management center.

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

Not sure if you’ve heard the news, but eating a single hot dog will apparently cost you 36 minutes of healthy life. My first thought when hearing this was of course the same as everyone else’s: Poor Joey Chestnut, multiyear winner of Nathan’s annual hot dog–eating contest.

He won this year’s contest with 76 hot dogs, which puts his total number of competition-consumed hot dogs at 1,089 – which cost him, it would seem, 27.2 days of healthy life. Unless, of course, every hot dog he inhaled came with a bun hosting two portions of sesame seeds, which in turn would buy him 50 extra minutes of life (25 minutes per portion, you see) and would consequently have extended his life by 10.6 days.

Clearly, the obvious solution here is to ensure that all hot dog buns have two portions of sesame seeds on them moving forward; that way, hot dogs can transition from being poisonous killers to antiaging medicine.

The other solution, albeit less exciting, perhaps, is for researchers to stop studying single foods’ impacts on health, and/or for journals to stop publishing them, and/or for the media to stop promoting them – because they are all as ridiculously useless as the example above highlighting findings from a newly published study in Nature Food, entitled “Small targeted dietary changes can yield substantial gains for human health and the environment.”

While no doubt we would all love for diet and health to be so well understood that we could choose specific single foods (knowing that they would prolong our lives) while avoiding single foods that would shorten it, there’s this unfortunate truth that the degree of confounding among food alone is staggering. People eat thousands of different foods in thousands of different dietary combinations. Moreover, most (all?) research conducted on dietary impacts of single foods on health don’t actually track consumption of those specific foods over time, let alone their interactions with all other foods consumed, but rather at moments in time.

In the case of the “hot dogs will kill you unless there are sesame seeds on your bun” article, for example, the researchers utilized one solitary dietary recall session upon which to base their ridiculously specific, ridiculous conclusions.

People’s diets also change over time for various reasons, and of course people themselves are very different. You might imagine that people whose diets are rich in chicken wings, sugared soda, and hot dogs will have markedly different lifestyles and demographics than those whose diets are rich in walnuts, sashimi, and avocados.

So why do we keep seeing studies like this being published? Is it because they’re basically clickbait catnip for journals and newspapers, and in our publish-or-perish attention-seeking world, that means they not only get a pass but they get a press release? Is it because peer review is broken and everyone knows it? Is it because as a society, we’re frogs who have been steeping for decades in the ever-heated pot of nutritional nonsense, and consequently don’t think to question it?

I don’t know the answer to any of those questions, but one thing I do know: Studies on single foods’ impact on life length are pointless, impossible, and idiotic, and people who share them noncritically should be forever shunned – or at the very least, forever ignored.

Yoni Freedhoff, MD, is an associate professor of family medicine at the University of Ottawa and medical director of the Bariatric Medical Institute, a nonsurgical weight-management center.

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