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Study: AFib May Be Linked to Dementia in T2D
TOPLINE:
New-onset atrial fibrillation (AF) is associated with a substantially higher risk for all-cause dementia in patients with type 2 diabetes (T2D).
METHODOLOGY:
- Studies suggest a potential link between AF and dementia in the broader population, but evidence is scarce in people with diabetes, who are at increased risk for both conditions.
- This longitudinal observational study assessed the association between new-onset AF and dementia in 22,989 patients with T2D (median age at enrollment, 61.0 years; 62.3% men; 86.3% White individuals).
- New-onset AF was identified through hospital admission records using the International Classification of Diseases – 9th Revision (ICD-9) and ICD-10 codes, and dementia cases were identified using an algorithm developed by the UK Biobank.
- Time-varying Cox proportional hazard regression models were used to determine the association between incident dementia and new-onset AF.
TAKEAWAY:
- Over a median follow-up duration of about 12 years, 844 patients developed all-cause dementia, 342 were diagnosed with Alzheimer’s disease, and 246 had vascular dementia.
- Patients with incident AF had a higher risk of developing all-cause dementia (hazard ratio [HR], 2.15; 95% CI, 1.80-2.57), Alzheimer’s disease (HR, 1.44; 95% CI, 1.06-1.96), and vascular dementia (HR, 3.11; 95% CI, 2.32-4.17) than those without incident AF.
- The results are independent of common dementia risk factors, such as sociodemographic characteristics and lifestyle factors.
- The mean time intervals from the onset of AF to all-cause dementia, Alzheimer’s disease and vascular dementia were 2.95, 2.81, and 3.37 years, respectively.
IN PRACTICE:
“AF is a significant risk factor for dementia in patients with type 2 diabetes, suggesting the importance of timely and effective treatment of AF, such as early rhythm control strategies and anticoagulant use, in preventing dementia among this demographic,” the authors wrote.
SOURCE:
The study, led by Ying Zhou, PhD, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, was published online in Diabetes, Obesity and Metabolism.
LIMITATIONS:
The study could not explore the link between different AF subtypes and dementia owing to its small sample size. The effects of AF treatment on the risk for dementia in patients with type 2 diabetes were not considered because of lack of information. The mostly White study population limits the generalizability of the findings to other races and ethnicities.
DISCLOSURES:
The study was supported by the National Social Science Fund of China. The authors declared no conflicts of interest.
A version of this article first appeared on Medscape.com.
TOPLINE:
New-onset atrial fibrillation (AF) is associated with a substantially higher risk for all-cause dementia in patients with type 2 diabetes (T2D).
METHODOLOGY:
- Studies suggest a potential link between AF and dementia in the broader population, but evidence is scarce in people with diabetes, who are at increased risk for both conditions.
- This longitudinal observational study assessed the association between new-onset AF and dementia in 22,989 patients with T2D (median age at enrollment, 61.0 years; 62.3% men; 86.3% White individuals).
- New-onset AF was identified through hospital admission records using the International Classification of Diseases – 9th Revision (ICD-9) and ICD-10 codes, and dementia cases were identified using an algorithm developed by the UK Biobank.
- Time-varying Cox proportional hazard regression models were used to determine the association between incident dementia and new-onset AF.
TAKEAWAY:
- Over a median follow-up duration of about 12 years, 844 patients developed all-cause dementia, 342 were diagnosed with Alzheimer’s disease, and 246 had vascular dementia.
- Patients with incident AF had a higher risk of developing all-cause dementia (hazard ratio [HR], 2.15; 95% CI, 1.80-2.57), Alzheimer’s disease (HR, 1.44; 95% CI, 1.06-1.96), and vascular dementia (HR, 3.11; 95% CI, 2.32-4.17) than those without incident AF.
- The results are independent of common dementia risk factors, such as sociodemographic characteristics and lifestyle factors.
- The mean time intervals from the onset of AF to all-cause dementia, Alzheimer’s disease and vascular dementia were 2.95, 2.81, and 3.37 years, respectively.
IN PRACTICE:
“AF is a significant risk factor for dementia in patients with type 2 diabetes, suggesting the importance of timely and effective treatment of AF, such as early rhythm control strategies and anticoagulant use, in preventing dementia among this demographic,” the authors wrote.
SOURCE:
The study, led by Ying Zhou, PhD, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, was published online in Diabetes, Obesity and Metabolism.
LIMITATIONS:
The study could not explore the link between different AF subtypes and dementia owing to its small sample size. The effects of AF treatment on the risk for dementia in patients with type 2 diabetes were not considered because of lack of information. The mostly White study population limits the generalizability of the findings to other races and ethnicities.
DISCLOSURES:
The study was supported by the National Social Science Fund of China. The authors declared no conflicts of interest.
A version of this article first appeared on Medscape.com.
TOPLINE:
New-onset atrial fibrillation (AF) is associated with a substantially higher risk for all-cause dementia in patients with type 2 diabetes (T2D).
METHODOLOGY:
- Studies suggest a potential link between AF and dementia in the broader population, but evidence is scarce in people with diabetes, who are at increased risk for both conditions.
- This longitudinal observational study assessed the association between new-onset AF and dementia in 22,989 patients with T2D (median age at enrollment, 61.0 years; 62.3% men; 86.3% White individuals).
- New-onset AF was identified through hospital admission records using the International Classification of Diseases – 9th Revision (ICD-9) and ICD-10 codes, and dementia cases were identified using an algorithm developed by the UK Biobank.
- Time-varying Cox proportional hazard regression models were used to determine the association between incident dementia and new-onset AF.
TAKEAWAY:
- Over a median follow-up duration of about 12 years, 844 patients developed all-cause dementia, 342 were diagnosed with Alzheimer’s disease, and 246 had vascular dementia.
- Patients with incident AF had a higher risk of developing all-cause dementia (hazard ratio [HR], 2.15; 95% CI, 1.80-2.57), Alzheimer’s disease (HR, 1.44; 95% CI, 1.06-1.96), and vascular dementia (HR, 3.11; 95% CI, 2.32-4.17) than those without incident AF.
- The results are independent of common dementia risk factors, such as sociodemographic characteristics and lifestyle factors.
- The mean time intervals from the onset of AF to all-cause dementia, Alzheimer’s disease and vascular dementia were 2.95, 2.81, and 3.37 years, respectively.
IN PRACTICE:
“AF is a significant risk factor for dementia in patients with type 2 diabetes, suggesting the importance of timely and effective treatment of AF, such as early rhythm control strategies and anticoagulant use, in preventing dementia among this demographic,” the authors wrote.
SOURCE:
The study, led by Ying Zhou, PhD, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, was published online in Diabetes, Obesity and Metabolism.
LIMITATIONS:
The study could not explore the link between different AF subtypes and dementia owing to its small sample size. The effects of AF treatment on the risk for dementia in patients with type 2 diabetes were not considered because of lack of information. The mostly White study population limits the generalizability of the findings to other races and ethnicities.
DISCLOSURES:
The study was supported by the National Social Science Fund of China. The authors declared no conflicts of interest.
A version of this article first appeared on Medscape.com.
Mounjaro Beats Ozempic, So Why Isn’t It More Popular?
This transcript has been edited for clarity.
It’s July, which means our hospital is filled with new interns, residents, and fellows all eager to embark on a new stage of their career. It’s an exciting time — a bit of a scary time — but it’s also the time when the medical strategies I’ve been taking for granted get called into question. At this point in the year, I tend to get a lot of “why” questions. Why did you order that test? Why did you suspect that diagnosis? Why did you choose that medication?
Meds are the hardest, I find. Sure, I can explain that I prescribed a glucagon-like peptide 1 (GLP-1) receptor agonist because the patient had diabetes and was overweight, and multiple studies show that this class of drug leads to weight loss and reduced mortality risk. But then I get the follow-up: Sure, but why THAT GLP-1 drug? Why did you pick semaglutide (Ozempic) over tirzepatide (Mounjaro)?
Here’s where I run out of good answers. Sometimes I choose a drug because that’s what the patient’s insurance has on their formulary. Sometimes it’s because it’s cheaper in general. Sometimes, it’s just force of habit. I know the correct dose, I have experience with the side effects — it’s comfortable.
What I can’t say is that I have solid evidence that one drug is superior to another, say from a randomized trial of semaglutide vs tirzepatide. I don’t have that evidence because that trial has never happened and, as I’ll explain in a minute, may never happen at all.
But we might have the next best thing. And the results may surprise you.
Why don’t we see more head-to-head trials of competitor drugs? The answer is pretty simple, honestly: risk management. For drugs that are on patent, like the GLP-1s, conducting a trial without the buy-in of the pharmaceutical company is simply too expensive — we can’t run a trial unless someone provides the drug for free. That gives the companies a lot of say in what trials get done, and it seems that most pharma companies have reached the same conclusion: A head-to-head trial is too risky. Be happy with the market share you have, and try to nibble away at the edges through good old-fashioned marketing.
But if you look at the data that are out there, you might wonder why Ozempic is the market leader. I mean, sure, it’s a heck of a weight loss drug. But the weight loss in the trials of Mounjaro was actually a bit higher. It’s worth noting here that tirzepatide (Mounjaro) is not just a GLP-1 receptor agonist; it is also a gastric inhibitory polypeptide agonist. 
But it’s very hard to compare the results of a trial pitting Ozempic against placebo with a totally different trial pitting Mounjaro against placebo. You can always argue that the patients studied were just too different at baseline — an apples and oranges situation.
Newly published, a study appearing in JAMA Internal Medicine uses real-world data and propensity-score matching to turn oranges back into apples. I’ll walk you through it.
The data and analysis here come from Truveta, a collective of various US healthcare systems that share a broad swath of electronic health record data. Researchers identified 41,222 adults with overweight or obesity who were prescribed semaglutide or tirzepatide between May 2022 and September 2023.
You’d be tempted to just see which group lost more weight over time, but that is the apples and oranges problem. People prescribed Mounjaro were different from people who were prescribed Ozempic. There are a variety of factors to look at here, but the vibe is that the Mounjaro group seems healthier at baseline. They were younger and had less kidney disease, less hypertension, and less hyperlipidemia. They had higher incomes and were more likely to be White. They were also dramatically less likely to have diabetes. 
To account for this, the researchers used a statistical technique called propensity-score matching. Briefly, you create a model based on a variety of patient factors to predict who would be prescribed Ozempic and who would be prescribed Mounjaro. You then identify pairs of patients with similar probability (or propensity) of receiving, say, Ozempic, where one member of the pair got Ozempic and one got Mounjaro. Any unmatched individuals simply get dropped from the analysis.
Thus, the researchers took the 41,222 individuals who started the analysis, of whom 9193 received Mounjaro, and identified the 9193 patients who got Ozempic that most closely matched the Mounjaro crowd. I know, it sounds confusing. But as an example, in the original dataset, 51.9% of those who got Mounjaro had diabetes compared with 71.5% of those who got Ozempic. Among the 9193 individuals who remained in the Ozempic group after matching, 52.1% had diabetes. By matching in this way, you balance your baseline characteristics. Turning apples into oranges. Or, maybe the better metaphor would be plucking the oranges out of a big pile of mostly apples.
Once that’s done, we can go back to do what we wanted to do in the beginning, which is to look at the weight loss between the groups.
What I’m showing you here is the average percent change in body weight at 3, 6, and 12 months across the two drugs in the matched cohort. By a year out, you have basically 15% weight loss in the Mounjaro group compared with 8% or so in the Ozempic group. 
We can slice this a different way as well — asking what percent of people in each group achieve, say, 10% weight loss? This graph examines the percentage of each treatment group who hit that weight loss target over time. Mounjaro gets there faster.
I should point out that this was a so-called “on treatment” analysis: If people stopped taking either of the drugs, they were no longer included in the study. That tends to make drugs like this appear better than they are because as time goes on, you may weed out the people who stop the drug owing to lack of efficacy or to side effects. But in a sensitivity analysis, the authors see what happens if they just treat people as if they were taking the drug for the entire year once they had it prescribed, and the results, while not as dramatic, were broadly similar. Mounjaro still came out on top.
Adverse events— stuff like gastroparesis and pancreatitis — were rare, but rates were similar between the two groups.
It’s great to see studies like this that leverage real world data and a solid statistical underpinning to give us providers actionable information. Is it 100% definitive? No. But, especially considering the clinical trial data, I don’t think I’m going out on a limb to say that Mounjaro seems to be the more effective weight loss agent. That said, we don’t actually live in a world where we can prescribe medications based on a silly little thing like which is the most effective. Especially given the cost of these agents — the patient’s insurance status is going to guide our prescription pen more than this study ever could. And of course, given the demand for this class of agents and the fact that both are actually quite effective, you may be best off prescribing whatever you can get your hands on.
But I’d like to see more of this. When I do have a choice of a medication, when costs and availability are similar, I’d like to be able to answer that question of “why did you choose that one?” with an evidence-based answer: “It’s better.”
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
It’s July, which means our hospital is filled with new interns, residents, and fellows all eager to embark on a new stage of their career. It’s an exciting time — a bit of a scary time — but it’s also the time when the medical strategies I’ve been taking for granted get called into question. At this point in the year, I tend to get a lot of “why” questions. Why did you order that test? Why did you suspect that diagnosis? Why did you choose that medication?
Meds are the hardest, I find. Sure, I can explain that I prescribed a glucagon-like peptide 1 (GLP-1) receptor agonist because the patient had diabetes and was overweight, and multiple studies show that this class of drug leads to weight loss and reduced mortality risk. But then I get the follow-up: Sure, but why THAT GLP-1 drug? Why did you pick semaglutide (Ozempic) over tirzepatide (Mounjaro)?
Here’s where I run out of good answers. Sometimes I choose a drug because that’s what the patient’s insurance has on their formulary. Sometimes it’s because it’s cheaper in general. Sometimes, it’s just force of habit. I know the correct dose, I have experience with the side effects — it’s comfortable.
What I can’t say is that I have solid evidence that one drug is superior to another, say from a randomized trial of semaglutide vs tirzepatide. I don’t have that evidence because that trial has never happened and, as I’ll explain in a minute, may never happen at all.
But we might have the next best thing. And the results may surprise you.
Why don’t we see more head-to-head trials of competitor drugs? The answer is pretty simple, honestly: risk management. For drugs that are on patent, like the GLP-1s, conducting a trial without the buy-in of the pharmaceutical company is simply too expensive — we can’t run a trial unless someone provides the drug for free. That gives the companies a lot of say in what trials get done, and it seems that most pharma companies have reached the same conclusion: A head-to-head trial is too risky. Be happy with the market share you have, and try to nibble away at the edges through good old-fashioned marketing.
But if you look at the data that are out there, you might wonder why Ozempic is the market leader. I mean, sure, it’s a heck of a weight loss drug. But the weight loss in the trials of Mounjaro was actually a bit higher. It’s worth noting here that tirzepatide (Mounjaro) is not just a GLP-1 receptor agonist; it is also a gastric inhibitory polypeptide agonist.
But it’s very hard to compare the results of a trial pitting Ozempic against placebo with a totally different trial pitting Mounjaro against placebo. You can always argue that the patients studied were just too different at baseline — an apples and oranges situation.
Newly published, a study appearing in JAMA Internal Medicine uses real-world data and propensity-score matching to turn oranges back into apples. I’ll walk you through it.
The data and analysis here come from Truveta, a collective of various US healthcare systems that share a broad swath of electronic health record data. Researchers identified 41,222 adults with overweight or obesity who were prescribed semaglutide or tirzepatide between May 2022 and September 2023.
You’d be tempted to just see which group lost more weight over time, but that is the apples and oranges problem. People prescribed Mounjaro were different from people who were prescribed Ozempic. There are a variety of factors to look at here, but the vibe is that the Mounjaro group seems healthier at baseline. They were younger and had less kidney disease, less hypertension, and less hyperlipidemia. They had higher incomes and were more likely to be White. They were also dramatically less likely to have diabetes.
To account for this, the researchers used a statistical technique called propensity-score matching. Briefly, you create a model based on a variety of patient factors to predict who would be prescribed Ozempic and who would be prescribed Mounjaro. You then identify pairs of patients with similar probability (or propensity) of receiving, say, Ozempic, where one member of the pair got Ozempic and one got Mounjaro. Any unmatched individuals simply get dropped from the analysis.
Thus, the researchers took the 41,222 individuals who started the analysis, of whom 9193 received Mounjaro, and identified the 9193 patients who got Ozempic that most closely matched the Mounjaro crowd. I know, it sounds confusing. But as an example, in the original dataset, 51.9% of those who got Mounjaro had diabetes compared with 71.5% of those who got Ozempic. Among the 9193 individuals who remained in the Ozempic group after matching, 52.1% had diabetes. By matching in this way, you balance your baseline characteristics. Turning apples into oranges. Or, maybe the better metaphor would be plucking the oranges out of a big pile of mostly apples.
Once that’s done, we can go back to do what we wanted to do in the beginning, which is to look at the weight loss between the groups.
What I’m showing you here is the average percent change in body weight at 3, 6, and 12 months across the two drugs in the matched cohort. By a year out, you have basically 15% weight loss in the Mounjaro group compared with 8% or so in the Ozempic group.
We can slice this a different way as well — asking what percent of people in each group achieve, say, 10% weight loss? This graph examines the percentage of each treatment group who hit that weight loss target over time. Mounjaro gets there faster.
I should point out that this was a so-called “on treatment” analysis: If people stopped taking either of the drugs, they were no longer included in the study. That tends to make drugs like this appear better than they are because as time goes on, you may weed out the people who stop the drug owing to lack of efficacy or to side effects. But in a sensitivity analysis, the authors see what happens if they just treat people as if they were taking the drug for the entire year once they had it prescribed, and the results, while not as dramatic, were broadly similar. Mounjaro still came out on top.
Adverse events— stuff like gastroparesis and pancreatitis — were rare, but rates were similar between the two groups.
It’s great to see studies like this that leverage real world data and a solid statistical underpinning to give us providers actionable information. Is it 100% definitive? No. But, especially considering the clinical trial data, I don’t think I’m going out on a limb to say that Mounjaro seems to be the more effective weight loss agent. That said, we don’t actually live in a world where we can prescribe medications based on a silly little thing like which is the most effective. Especially given the cost of these agents — the patient’s insurance status is going to guide our prescription pen more than this study ever could. And of course, given the demand for this class of agents and the fact that both are actually quite effective, you may be best off prescribing whatever you can get your hands on.
But I’d like to see more of this. When I do have a choice of a medication, when costs and availability are similar, I’d like to be able to answer that question of “why did you choose that one?” with an evidence-based answer: “It’s better.”
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
It’s July, which means our hospital is filled with new interns, residents, and fellows all eager to embark on a new stage of their career. It’s an exciting time — a bit of a scary time — but it’s also the time when the medical strategies I’ve been taking for granted get called into question. At this point in the year, I tend to get a lot of “why” questions. Why did you order that test? Why did you suspect that diagnosis? Why did you choose that medication?
Meds are the hardest, I find. Sure, I can explain that I prescribed a glucagon-like peptide 1 (GLP-1) receptor agonist because the patient had diabetes and was overweight, and multiple studies show that this class of drug leads to weight loss and reduced mortality risk. But then I get the follow-up: Sure, but why THAT GLP-1 drug? Why did you pick semaglutide (Ozempic) over tirzepatide (Mounjaro)?
Here’s where I run out of good answers. Sometimes I choose a drug because that’s what the patient’s insurance has on their formulary. Sometimes it’s because it’s cheaper in general. Sometimes, it’s just force of habit. I know the correct dose, I have experience with the side effects — it’s comfortable.
What I can’t say is that I have solid evidence that one drug is superior to another, say from a randomized trial of semaglutide vs tirzepatide. I don’t have that evidence because that trial has never happened and, as I’ll explain in a minute, may never happen at all.
But we might have the next best thing. And the results may surprise you.
Why don’t we see more head-to-head trials of competitor drugs? The answer is pretty simple, honestly: risk management. For drugs that are on patent, like the GLP-1s, conducting a trial without the buy-in of the pharmaceutical company is simply too expensive — we can’t run a trial unless someone provides the drug for free. That gives the companies a lot of say in what trials get done, and it seems that most pharma companies have reached the same conclusion: A head-to-head trial is too risky. Be happy with the market share you have, and try to nibble away at the edges through good old-fashioned marketing.
But if you look at the data that are out there, you might wonder why Ozempic is the market leader. I mean, sure, it’s a heck of a weight loss drug. But the weight loss in the trials of Mounjaro was actually a bit higher. It’s worth noting here that tirzepatide (Mounjaro) is not just a GLP-1 receptor agonist; it is also a gastric inhibitory polypeptide agonist.
But it’s very hard to compare the results of a trial pitting Ozempic against placebo with a totally different trial pitting Mounjaro against placebo. You can always argue that the patients studied were just too different at baseline — an apples and oranges situation.
Newly published, a study appearing in JAMA Internal Medicine uses real-world data and propensity-score matching to turn oranges back into apples. I’ll walk you through it.
The data and analysis here come from Truveta, a collective of various US healthcare systems that share a broad swath of electronic health record data. Researchers identified 41,222 adults with overweight or obesity who were prescribed semaglutide or tirzepatide between May 2022 and September 2023.
You’d be tempted to just see which group lost more weight over time, but that is the apples and oranges problem. People prescribed Mounjaro were different from people who were prescribed Ozempic. There are a variety of factors to look at here, but the vibe is that the Mounjaro group seems healthier at baseline. They were younger and had less kidney disease, less hypertension, and less hyperlipidemia. They had higher incomes and were more likely to be White. They were also dramatically less likely to have diabetes.
To account for this, the researchers used a statistical technique called propensity-score matching. Briefly, you create a model based on a variety of patient factors to predict who would be prescribed Ozempic and who would be prescribed Mounjaro. You then identify pairs of patients with similar probability (or propensity) of receiving, say, Ozempic, where one member of the pair got Ozempic and one got Mounjaro. Any unmatched individuals simply get dropped from the analysis.
Thus, the researchers took the 41,222 individuals who started the analysis, of whom 9193 received Mounjaro, and identified the 9193 patients who got Ozempic that most closely matched the Mounjaro crowd. I know, it sounds confusing. But as an example, in the original dataset, 51.9% of those who got Mounjaro had diabetes compared with 71.5% of those who got Ozempic. Among the 9193 individuals who remained in the Ozempic group after matching, 52.1% had diabetes. By matching in this way, you balance your baseline characteristics. Turning apples into oranges. Or, maybe the better metaphor would be plucking the oranges out of a big pile of mostly apples.
Once that’s done, we can go back to do what we wanted to do in the beginning, which is to look at the weight loss between the groups.
What I’m showing you here is the average percent change in body weight at 3, 6, and 12 months across the two drugs in the matched cohort. By a year out, you have basically 15% weight loss in the Mounjaro group compared with 8% or so in the Ozempic group.
We can slice this a different way as well — asking what percent of people in each group achieve, say, 10% weight loss? This graph examines the percentage of each treatment group who hit that weight loss target over time. Mounjaro gets there faster.
I should point out that this was a so-called “on treatment” analysis: If people stopped taking either of the drugs, they were no longer included in the study. That tends to make drugs like this appear better than they are because as time goes on, you may weed out the people who stop the drug owing to lack of efficacy or to side effects. But in a sensitivity analysis, the authors see what happens if they just treat people as if they were taking the drug for the entire year once they had it prescribed, and the results, while not as dramatic, were broadly similar. Mounjaro still came out on top.
Adverse events— stuff like gastroparesis and pancreatitis — were rare, but rates were similar between the two groups.
It’s great to see studies like this that leverage real world data and a solid statistical underpinning to give us providers actionable information. Is it 100% definitive? No. But, especially considering the clinical trial data, I don’t think I’m going out on a limb to say that Mounjaro seems to be the more effective weight loss agent. That said, we don’t actually live in a world where we can prescribe medications based on a silly little thing like which is the most effective. Especially given the cost of these agents — the patient’s insurance status is going to guide our prescription pen more than this study ever could. And of course, given the demand for this class of agents and the fact that both are actually quite effective, you may be best off prescribing whatever you can get your hands on.
But I’d like to see more of this. When I do have a choice of a medication, when costs and availability are similar, I’d like to be able to answer that question of “why did you choose that one?” with an evidence-based answer: “It’s better.”
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Connecticut. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
Does Medicare Enrollment Raise Diabetes Medication Costs?
TOPLINE:
Reaching age 65 years and enrolling in Medicare is associated with a $23 increase in quarterly out-of-pocket costs for type 2 diabetes (T2D) medications. Medication usage decreased by 5.3%, with a notable shift toward more expensive insulin use.
METHODOLOGY:
- Researchers conducted a retrospective cohort study using 2012-2020 prescription drug claims data from the TriNetX Diamond Network.
- A total of 129,997 individuals diagnosed with T2D were included, with claims observed both before and after age 65 years.
- The primary outcome was patient out-of-pocket costs for T2D drugs per quarter, adjusted to 2020 dollars.
- Drugs measured included biguanides (metformin), sulfonylureas, thiazolidinediones, insulin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, sodium-glucose cotransporter 2 (SGLT-2 inhibitors), and amylin analogs, among others.
- Regression discontinuity design was used to examine the outcomes, adjusting for differential linear quarterly time trends, year fixed effects, and utilization composition and intensity.
TAKEAWAY:
- Reaching age 65 years was associated with an increase of $23.04 in mean quarterly out-of-pocket costs for T2D drugs (95% confidence interval [CI], $19.86-$26.22).
- The 95th percentile of out-of-pocket spending increased by $56.36 (95% CI, $51.48-$61.23) after utilization adjustment.
- T2D medication usage decreased by 5.3% at age 65 years, from 3.40 claims per quarter to 3.22 claims per quarter.
- Higher out-of-pockets were associated with insulin use, DPP-4 inhibitors, GLP-1s, and SGLT2 inhibitors.
IN PRACTICE:
“Our results have important implications for the provisions of the Inflation Reduction Act, many of which aim to reduce these costs. Reduced patient cost burden will improve adherence and the management of type 2 diabetes, likely leading to reductions in T2D complications,” wrote the authors of the study.
SOURCE:
The study was led by Douglas Barthold, PhD, Jing Li, MA, PhD, and Anirban Basu, MS, PhD, at the Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle. It was published online in JAMA Network Open.
LIMITATIONS:
The study’s limitations include the possibility that not all claims of an individual were observed, as TriNetX claims data may not capture individuals who leave the healthcare system or have inaccurate or changing diagnoses. Additionally, the data lack individual-level insurance characteristics. The assumption that individuals transition to Medicare at age 65 years may not be true for all participants. The study also lacks clinical information regarding the severity of T2D, which could influence medication usage and out-of-pocket costs.
DISCLOSURES:
The study was supported by grants from the National Institute on Aging (NIA) and the University of Washington’s Population Health Initiative, Student Technology Fee program, and Provost’s office. Dr. Barthold and Dr. Li received grants from the NIA. Dr. Basu reported receiving personal fees from Salutis Consulting LLC outside the submitted work. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
Reaching age 65 years and enrolling in Medicare is associated with a $23 increase in quarterly out-of-pocket costs for type 2 diabetes (T2D) medications. Medication usage decreased by 5.3%, with a notable shift toward more expensive insulin use.
METHODOLOGY:
- Researchers conducted a retrospective cohort study using 2012-2020 prescription drug claims data from the TriNetX Diamond Network.
- A total of 129,997 individuals diagnosed with T2D were included, with claims observed both before and after age 65 years.
- The primary outcome was patient out-of-pocket costs for T2D drugs per quarter, adjusted to 2020 dollars.
- Drugs measured included biguanides (metformin), sulfonylureas, thiazolidinediones, insulin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, sodium-glucose cotransporter 2 (SGLT-2 inhibitors), and amylin analogs, among others.
- Regression discontinuity design was used to examine the outcomes, adjusting for differential linear quarterly time trends, year fixed effects, and utilization composition and intensity.
TAKEAWAY:
- Reaching age 65 years was associated with an increase of $23.04 in mean quarterly out-of-pocket costs for T2D drugs (95% confidence interval [CI], $19.86-$26.22).
- The 95th percentile of out-of-pocket spending increased by $56.36 (95% CI, $51.48-$61.23) after utilization adjustment.
- T2D medication usage decreased by 5.3% at age 65 years, from 3.40 claims per quarter to 3.22 claims per quarter.
- Higher out-of-pockets were associated with insulin use, DPP-4 inhibitors, GLP-1s, and SGLT2 inhibitors.
IN PRACTICE:
“Our results have important implications for the provisions of the Inflation Reduction Act, many of which aim to reduce these costs. Reduced patient cost burden will improve adherence and the management of type 2 diabetes, likely leading to reductions in T2D complications,” wrote the authors of the study.
SOURCE:
The study was led by Douglas Barthold, PhD, Jing Li, MA, PhD, and Anirban Basu, MS, PhD, at the Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle. It was published online in JAMA Network Open.
LIMITATIONS:
The study’s limitations include the possibility that not all claims of an individual were observed, as TriNetX claims data may not capture individuals who leave the healthcare system or have inaccurate or changing diagnoses. Additionally, the data lack individual-level insurance characteristics. The assumption that individuals transition to Medicare at age 65 years may not be true for all participants. The study also lacks clinical information regarding the severity of T2D, which could influence medication usage and out-of-pocket costs.
DISCLOSURES:
The study was supported by grants from the National Institute on Aging (NIA) and the University of Washington’s Population Health Initiative, Student Technology Fee program, and Provost’s office. Dr. Barthold and Dr. Li received grants from the NIA. Dr. Basu reported receiving personal fees from Salutis Consulting LLC outside the submitted work. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
Reaching age 65 years and enrolling in Medicare is associated with a $23 increase in quarterly out-of-pocket costs for type 2 diabetes (T2D) medications. Medication usage decreased by 5.3%, with a notable shift toward more expensive insulin use.
METHODOLOGY:
- Researchers conducted a retrospective cohort study using 2012-2020 prescription drug claims data from the TriNetX Diamond Network.
- A total of 129,997 individuals diagnosed with T2D were included, with claims observed both before and after age 65 years.
- The primary outcome was patient out-of-pocket costs for T2D drugs per quarter, adjusted to 2020 dollars.
- Drugs measured included biguanides (metformin), sulfonylureas, thiazolidinediones, insulin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, sodium-glucose cotransporter 2 (SGLT-2 inhibitors), and amylin analogs, among others.
- Regression discontinuity design was used to examine the outcomes, adjusting for differential linear quarterly time trends, year fixed effects, and utilization composition and intensity.
TAKEAWAY:
- Reaching age 65 years was associated with an increase of $23.04 in mean quarterly out-of-pocket costs for T2D drugs (95% confidence interval [CI], $19.86-$26.22).
- The 95th percentile of out-of-pocket spending increased by $56.36 (95% CI, $51.48-$61.23) after utilization adjustment.
- T2D medication usage decreased by 5.3% at age 65 years, from 3.40 claims per quarter to 3.22 claims per quarter.
- Higher out-of-pockets were associated with insulin use, DPP-4 inhibitors, GLP-1s, and SGLT2 inhibitors.
IN PRACTICE:
“Our results have important implications for the provisions of the Inflation Reduction Act, many of which aim to reduce these costs. Reduced patient cost burden will improve adherence and the management of type 2 diabetes, likely leading to reductions in T2D complications,” wrote the authors of the study.
SOURCE:
The study was led by Douglas Barthold, PhD, Jing Li, MA, PhD, and Anirban Basu, MS, PhD, at the Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle. It was published online in JAMA Network Open.
LIMITATIONS:
The study’s limitations include the possibility that not all claims of an individual were observed, as TriNetX claims data may not capture individuals who leave the healthcare system or have inaccurate or changing diagnoses. Additionally, the data lack individual-level insurance characteristics. The assumption that individuals transition to Medicare at age 65 years may not be true for all participants. The study also lacks clinical information regarding the severity of T2D, which could influence medication usage and out-of-pocket costs.
DISCLOSURES:
The study was supported by grants from the National Institute on Aging (NIA) and the University of Washington’s Population Health Initiative, Student Technology Fee program, and Provost’s office. Dr. Barthold and Dr. Li received grants from the NIA. Dr. Basu reported receiving personal fees from Salutis Consulting LLC outside the submitted work. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
Light During Nighttime Linked to Diabetes Risk
Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.
A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.
The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.
“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”
Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.
“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
What the Study Showed
The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.
“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”
Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.
Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
How Light at Night May Increase Diabetes Risk
The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.
Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.
One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.
Dr. Phillips speculated that the sleep hormone melatonin also plays a role.
“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”
Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
Takeaways
Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.
That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.
Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.
“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”
A version of this article first appeared on Medscape.com.
Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.
A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.
The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.
“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”
Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.
“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
What the Study Showed
The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.
“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”
Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.
Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
How Light at Night May Increase Diabetes Risk
The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.
Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.
One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.
Dr. Phillips speculated that the sleep hormone melatonin also plays a role.
“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”
Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
Takeaways
Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.
That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.
Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.
“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”
A version of this article first appeared on Medscape.com.
Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.
A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.
The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.
“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”
Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.
“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
What the Study Showed
The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.
“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”
Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.
Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
How Light at Night May Increase Diabetes Risk
The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.
Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.
One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.
Dr. Phillips speculated that the sleep hormone melatonin also plays a role.
“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”
Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
Takeaways
Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.
That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.
Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.
“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”
A version of this article first appeared on Medscape.com.
FROM THE LANCET
Whether GLP-1 RAs Significantly Delay Gastric Emptying Called into Question
TOPLINE:
Patients taking a glucagon-like peptide 1 receptor agonist (GLP-1 RA) experience only a modest delay in gastric emptying of solid foods and no significant delay for liquids, compared with those receiving placebo, indicating that patients may not need to discontinue these medications before surgery.
METHODOLOGY:
- GLP-1 RAs, while effective in managing diabetes and obesity, are linked to delayed gastric emptying, which may pose risks during procedures requiring anesthesia or sedation due to potential aspiration of gastric contents.
- Researchers conducted a meta-analysis to quantify the duration of delay in gastric emptying caused by GLP-1 RAs in patients with diabetes and/or excessive body weight, which could guide periprocedural management decisions in the future.
- The primary outcome was halftime, the time required for 50% of solid gastric contents to empty, measured using scintigraphy. This analysis included data from five studies involving 247 patients who received either a GLP-1 RA or placebo.
- The secondary outcome was gastric emptying of liquids measured using the acetaminophen absorption test. Ten studies including 411 patients who received either a GLP-1 RA or placebo were included in this analysis.
TAKEAWAY:
- The mean gastric emptying halftime for solid foods was 138.4 minutes with a GLP-1 RA and 95.0 minutes with placebo, resulting in a pooled mean difference of 36.0 minutes (P < .01).
- Furthermore, the amount of gastric emptying noted at 4 or 5 hours on the acetaminophen absorption test was comparable between these groups.
- The gastric emptying time for both solids and liquids did not differ between GLP-1 RA formulations or between short-acting or long-acting GLP-1 RAs.
IN PRACTICE:
“Based on current evidence, a conservative approach with a liquid diet on the day before procedures while continuing GLP-1 RA therapy would represent the most sensible approach until more conclusive data on a solid diet are available,” the authors wrote.
SOURCE:
The study, led by Brent Hiramoto, MD, MPH, of the Center for Gastrointestinal Motility at Brigham and Women’s Hospital and Harvard Medical School, Boston, was published online in The American Journal of Gastroenterology.
LIMITATIONS:
The small number of studies utilizing some diagnostic modalities, such as breath testing, precluded a formal meta-analysis of these subgroups. The results could not be stratified by indication for GLP-1 RA (diabetes or obesity) because of insufficient studies in each category.
DISCLOSURES:
The lead author was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. One author declared serving on the advisory boards of three pharmaceutical companies.
A version of this article first appeared on Medscape.com.
TOPLINE:
Patients taking a glucagon-like peptide 1 receptor agonist (GLP-1 RA) experience only a modest delay in gastric emptying of solid foods and no significant delay for liquids, compared with those receiving placebo, indicating that patients may not need to discontinue these medications before surgery.
METHODOLOGY:
- GLP-1 RAs, while effective in managing diabetes and obesity, are linked to delayed gastric emptying, which may pose risks during procedures requiring anesthesia or sedation due to potential aspiration of gastric contents.
- Researchers conducted a meta-analysis to quantify the duration of delay in gastric emptying caused by GLP-1 RAs in patients with diabetes and/or excessive body weight, which could guide periprocedural management decisions in the future.
- The primary outcome was halftime, the time required for 50% of solid gastric contents to empty, measured using scintigraphy. This analysis included data from five studies involving 247 patients who received either a GLP-1 RA or placebo.
- The secondary outcome was gastric emptying of liquids measured using the acetaminophen absorption test. Ten studies including 411 patients who received either a GLP-1 RA or placebo were included in this analysis.
TAKEAWAY:
- The mean gastric emptying halftime for solid foods was 138.4 minutes with a GLP-1 RA and 95.0 minutes with placebo, resulting in a pooled mean difference of 36.0 minutes (P < .01).
- Furthermore, the amount of gastric emptying noted at 4 or 5 hours on the acetaminophen absorption test was comparable between these groups.
- The gastric emptying time for both solids and liquids did not differ between GLP-1 RA formulations or between short-acting or long-acting GLP-1 RAs.
IN PRACTICE:
“Based on current evidence, a conservative approach with a liquid diet on the day before procedures while continuing GLP-1 RA therapy would represent the most sensible approach until more conclusive data on a solid diet are available,” the authors wrote.
SOURCE:
The study, led by Brent Hiramoto, MD, MPH, of the Center for Gastrointestinal Motility at Brigham and Women’s Hospital and Harvard Medical School, Boston, was published online in The American Journal of Gastroenterology.
LIMITATIONS:
The small number of studies utilizing some diagnostic modalities, such as breath testing, precluded a formal meta-analysis of these subgroups. The results could not be stratified by indication for GLP-1 RA (diabetes or obesity) because of insufficient studies in each category.
DISCLOSURES:
The lead author was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. One author declared serving on the advisory boards of three pharmaceutical companies.
A version of this article first appeared on Medscape.com.
TOPLINE:
Patients taking a glucagon-like peptide 1 receptor agonist (GLP-1 RA) experience only a modest delay in gastric emptying of solid foods and no significant delay for liquids, compared with those receiving placebo, indicating that patients may not need to discontinue these medications before surgery.
METHODOLOGY:
- GLP-1 RAs, while effective in managing diabetes and obesity, are linked to delayed gastric emptying, which may pose risks during procedures requiring anesthesia or sedation due to potential aspiration of gastric contents.
- Researchers conducted a meta-analysis to quantify the duration of delay in gastric emptying caused by GLP-1 RAs in patients with diabetes and/or excessive body weight, which could guide periprocedural management decisions in the future.
- The primary outcome was halftime, the time required for 50% of solid gastric contents to empty, measured using scintigraphy. This analysis included data from five studies involving 247 patients who received either a GLP-1 RA or placebo.
- The secondary outcome was gastric emptying of liquids measured using the acetaminophen absorption test. Ten studies including 411 patients who received either a GLP-1 RA or placebo were included in this analysis.
TAKEAWAY:
- The mean gastric emptying halftime for solid foods was 138.4 minutes with a GLP-1 RA and 95.0 minutes with placebo, resulting in a pooled mean difference of 36.0 minutes (P < .01).
- Furthermore, the amount of gastric emptying noted at 4 or 5 hours on the acetaminophen absorption test was comparable between these groups.
- The gastric emptying time for both solids and liquids did not differ between GLP-1 RA formulations or between short-acting or long-acting GLP-1 RAs.
IN PRACTICE:
“Based on current evidence, a conservative approach with a liquid diet on the day before procedures while continuing GLP-1 RA therapy would represent the most sensible approach until more conclusive data on a solid diet are available,” the authors wrote.
SOURCE:
The study, led by Brent Hiramoto, MD, MPH, of the Center for Gastrointestinal Motility at Brigham and Women’s Hospital and Harvard Medical School, Boston, was published online in The American Journal of Gastroenterology.
LIMITATIONS:
The small number of studies utilizing some diagnostic modalities, such as breath testing, precluded a formal meta-analysis of these subgroups. The results could not be stratified by indication for GLP-1 RA (diabetes or obesity) because of insufficient studies in each category.
DISCLOSURES:
The lead author was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. One author declared serving on the advisory boards of three pharmaceutical companies.
A version of this article first appeared on Medscape.com.
Semaglutide May Increase Risk of Disease Causing Vision Loss
TOPLINE:
Patients with type 2 diabetes, overweight, or obesity taking the glucagon-like peptide receptor agonist (GLP-1 RA) semaglutide appear to have an increased risk for an uncommon condition that can cause vision loss.
METHODOLOGY:
- Researchers conducted a retrospective study of 16,827 patients at Massachusetts Eye and Ear in Boston.
- Their analysis focused on 710 patients with type 2 diabetes (194 of whom had been prescribed semaglutide) and 979 patients with overweight or obesity (361 prescribed semaglutide).
- The researchers compared patients prescribed semaglutide with those prescribed a medication other than a GLP-1 agent. They matched patients by factors such as age and sex and whether they had hypertension, obstructive sleep apnea, or coronary artery disease.
- They assessed the cumulative incidence of nonarteritic anterior ischemic optic neuropathy (NAION) during 36 months of follow-up.
TAKEAWAY:
- Semaglutide use was associated with a higher risk for NAION in patients with type 2 diabetes (hazard ratio [HR], 4.28; 95% CI, 1.62-11.29).
- In patients with overweight or obesity, semaglutide again was linked to a higher risk for NAION (HR, 7.64; 95% CI, 2.21-26.36).
- Among patients with type 2 diabetes, the cumulative incidence of NAION over 36 months was 8.9% for those prescribed semaglutide vs 1.8% among those taking non–GLP-1 medications.
IN PRACTICE:
Semaglutide has “provided very significant benefits in many ways, but future discussions between a patient and their physician should include NAION as a potential risk,” study leader Joseph Rizzo, MD, with Mass Eye and Ear and Harvard Medical School, said in a news release about the findings. “It is important to appreciate, however, that the increased risk relates to a disorder that is relatively uncommon.”
“Given the numbers of participants who have been recruited to clinical trials and the large number of people globally who use GLP-1 RAs, we should be confident that if corroborated, the absolute risk of developing NAION in direct relation to taking semaglutide must indeed be rare,” Susan P. Mollan, MBcHB, of University Hospitals Birmingham NHS Foundation Trust, in England, wrote in a commentary published with the study.
SOURCE:
The study was published online on July 3 in JAMA Ophthalmology.
LIMITATIONS:
The patients were seen at a hospital that specializes in ophthalmology and has a specialized neuro-ophthalmology service, so the results may not fully apply to other settings. The results were driven by a relatively small number of NAION cases in the patients exposed to semaglutide. The study does not establish that semaglutide directly causes NAION, the researchers noted. “The best approaches to confirm, refute, or refine our findings would be to conduct a much larger, retrospective, multicenter population-based cohort study; a prospective, randomized clinical study; or a postmarket analysis of all GLP-1 RA drugs,” they wrote.
DISCLOSURES:
The study was supported by a grant from Research to Prevent Blindness.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
TOPLINE:
Patients with type 2 diabetes, overweight, or obesity taking the glucagon-like peptide receptor agonist (GLP-1 RA) semaglutide appear to have an increased risk for an uncommon condition that can cause vision loss.
METHODOLOGY:
- Researchers conducted a retrospective study of 16,827 patients at Massachusetts Eye and Ear in Boston.
- Their analysis focused on 710 patients with type 2 diabetes (194 of whom had been prescribed semaglutide) and 979 patients with overweight or obesity (361 prescribed semaglutide).
- The researchers compared patients prescribed semaglutide with those prescribed a medication other than a GLP-1 agent. They matched patients by factors such as age and sex and whether they had hypertension, obstructive sleep apnea, or coronary artery disease.
- They assessed the cumulative incidence of nonarteritic anterior ischemic optic neuropathy (NAION) during 36 months of follow-up.
TAKEAWAY:
- Semaglutide use was associated with a higher risk for NAION in patients with type 2 diabetes (hazard ratio [HR], 4.28; 95% CI, 1.62-11.29).
- In patients with overweight or obesity, semaglutide again was linked to a higher risk for NAION (HR, 7.64; 95% CI, 2.21-26.36).
- Among patients with type 2 diabetes, the cumulative incidence of NAION over 36 months was 8.9% for those prescribed semaglutide vs 1.8% among those taking non–GLP-1 medications.
IN PRACTICE:
Semaglutide has “provided very significant benefits in many ways, but future discussions between a patient and their physician should include NAION as a potential risk,” study leader Joseph Rizzo, MD, with Mass Eye and Ear and Harvard Medical School, said in a news release about the findings. “It is important to appreciate, however, that the increased risk relates to a disorder that is relatively uncommon.”
“Given the numbers of participants who have been recruited to clinical trials and the large number of people globally who use GLP-1 RAs, we should be confident that if corroborated, the absolute risk of developing NAION in direct relation to taking semaglutide must indeed be rare,” Susan P. Mollan, MBcHB, of University Hospitals Birmingham NHS Foundation Trust, in England, wrote in a commentary published with the study.
SOURCE:
The study was published online on July 3 in JAMA Ophthalmology.
LIMITATIONS:
The patients were seen at a hospital that specializes in ophthalmology and has a specialized neuro-ophthalmology service, so the results may not fully apply to other settings. The results were driven by a relatively small number of NAION cases in the patients exposed to semaglutide. The study does not establish that semaglutide directly causes NAION, the researchers noted. “The best approaches to confirm, refute, or refine our findings would be to conduct a much larger, retrospective, multicenter population-based cohort study; a prospective, randomized clinical study; or a postmarket analysis of all GLP-1 RA drugs,” they wrote.
DISCLOSURES:
The study was supported by a grant from Research to Prevent Blindness.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
TOPLINE:
Patients with type 2 diabetes, overweight, or obesity taking the glucagon-like peptide receptor agonist (GLP-1 RA) semaglutide appear to have an increased risk for an uncommon condition that can cause vision loss.
METHODOLOGY:
- Researchers conducted a retrospective study of 16,827 patients at Massachusetts Eye and Ear in Boston.
- Their analysis focused on 710 patients with type 2 diabetes (194 of whom had been prescribed semaglutide) and 979 patients with overweight or obesity (361 prescribed semaglutide).
- The researchers compared patients prescribed semaglutide with those prescribed a medication other than a GLP-1 agent. They matched patients by factors such as age and sex and whether they had hypertension, obstructive sleep apnea, or coronary artery disease.
- They assessed the cumulative incidence of nonarteritic anterior ischemic optic neuropathy (NAION) during 36 months of follow-up.
TAKEAWAY:
- Semaglutide use was associated with a higher risk for NAION in patients with type 2 diabetes (hazard ratio [HR], 4.28; 95% CI, 1.62-11.29).
- In patients with overweight or obesity, semaglutide again was linked to a higher risk for NAION (HR, 7.64; 95% CI, 2.21-26.36).
- Among patients with type 2 diabetes, the cumulative incidence of NAION over 36 months was 8.9% for those prescribed semaglutide vs 1.8% among those taking non–GLP-1 medications.
IN PRACTICE:
Semaglutide has “provided very significant benefits in many ways, but future discussions between a patient and their physician should include NAION as a potential risk,” study leader Joseph Rizzo, MD, with Mass Eye and Ear and Harvard Medical School, said in a news release about the findings. “It is important to appreciate, however, that the increased risk relates to a disorder that is relatively uncommon.”
“Given the numbers of participants who have been recruited to clinical trials and the large number of people globally who use GLP-1 RAs, we should be confident that if corroborated, the absolute risk of developing NAION in direct relation to taking semaglutide must indeed be rare,” Susan P. Mollan, MBcHB, of University Hospitals Birmingham NHS Foundation Trust, in England, wrote in a commentary published with the study.
SOURCE:
The study was published online on July 3 in JAMA Ophthalmology.
LIMITATIONS:
The patients were seen at a hospital that specializes in ophthalmology and has a specialized neuro-ophthalmology service, so the results may not fully apply to other settings. The results were driven by a relatively small number of NAION cases in the patients exposed to semaglutide. The study does not establish that semaglutide directly causes NAION, the researchers noted. “The best approaches to confirm, refute, or refine our findings would be to conduct a much larger, retrospective, multicenter population-based cohort study; a prospective, randomized clinical study; or a postmarket analysis of all GLP-1 RA drugs,” they wrote.
DISCLOSURES:
The study was supported by a grant from Research to Prevent Blindness.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
Weight Loss Drugs Cut Cancer Risk in Diabetes Patients
Recent research on popular weight loss drugs has uncovered surprising benefits beyond their intended use, like lowering the risk of fatal heart attacks. And now there may be another unforeseen advantage:
That’s according to a study published July 5 in JAMA Network Open where researchers studied glucagon-like peptide receptor agonists (known as GLP-1RAs), a class of drugs used to treat diabetes and obesity. Ozempic, Wegovy, Mounjaro, and Zepbound, which have become well-known recently because they are linked to rapid weight loss, contain GLP-1RAs.
For the study, they looked at electronic health records of 1.7 million patients who had type 2 diabetes, no prior diagnosis of obesity-related cancers, and had been prescribed GLP-1RAs, insulins, or metformin from March 2005 to November 2018.
The scientists found that compared to patients who took insulin, people who took GLP-1RAs had a “significant risk reduction” in 10 of 13 obesity-related cancers. Those 10 cancers were esophageal, colorectal, endometrial, gallbladder, kidney, liver, ovarian, and pancreatic cancers, as well as meningioma and multiple myeloma.
Compared with patients taking insulin, patients taking GLP-1RAs showed no statistically significant reduction in stomach cancer and no reduced risk of breast and thyroid cancers, the study said.
But the study found no decrease in cancer risk with GLP-1RAs compared with metformin.
While the study results suggest that these drugs may reduce the risk of certain obesity-related cancers better than insulins, more research is needed, they said.
A version of this article appeared on WebMD.com.
Recent research on popular weight loss drugs has uncovered surprising benefits beyond their intended use, like lowering the risk of fatal heart attacks. And now there may be another unforeseen advantage:
That’s according to a study published July 5 in JAMA Network Open where researchers studied glucagon-like peptide receptor agonists (known as GLP-1RAs), a class of drugs used to treat diabetes and obesity. Ozempic, Wegovy, Mounjaro, and Zepbound, which have become well-known recently because they are linked to rapid weight loss, contain GLP-1RAs.
For the study, they looked at electronic health records of 1.7 million patients who had type 2 diabetes, no prior diagnosis of obesity-related cancers, and had been prescribed GLP-1RAs, insulins, or metformin from March 2005 to November 2018.
The scientists found that compared to patients who took insulin, people who took GLP-1RAs had a “significant risk reduction” in 10 of 13 obesity-related cancers. Those 10 cancers were esophageal, colorectal, endometrial, gallbladder, kidney, liver, ovarian, and pancreatic cancers, as well as meningioma and multiple myeloma.
Compared with patients taking insulin, patients taking GLP-1RAs showed no statistically significant reduction in stomach cancer and no reduced risk of breast and thyroid cancers, the study said.
But the study found no decrease in cancer risk with GLP-1RAs compared with metformin.
While the study results suggest that these drugs may reduce the risk of certain obesity-related cancers better than insulins, more research is needed, they said.
A version of this article appeared on WebMD.com.
Recent research on popular weight loss drugs has uncovered surprising benefits beyond their intended use, like lowering the risk of fatal heart attacks. And now there may be another unforeseen advantage:
That’s according to a study published July 5 in JAMA Network Open where researchers studied glucagon-like peptide receptor agonists (known as GLP-1RAs), a class of drugs used to treat diabetes and obesity. Ozempic, Wegovy, Mounjaro, and Zepbound, which have become well-known recently because they are linked to rapid weight loss, contain GLP-1RAs.
For the study, they looked at electronic health records of 1.7 million patients who had type 2 diabetes, no prior diagnosis of obesity-related cancers, and had been prescribed GLP-1RAs, insulins, or metformin from March 2005 to November 2018.
The scientists found that compared to patients who took insulin, people who took GLP-1RAs had a “significant risk reduction” in 10 of 13 obesity-related cancers. Those 10 cancers were esophageal, colorectal, endometrial, gallbladder, kidney, liver, ovarian, and pancreatic cancers, as well as meningioma and multiple myeloma.
Compared with patients taking insulin, patients taking GLP-1RAs showed no statistically significant reduction in stomach cancer and no reduced risk of breast and thyroid cancers, the study said.
But the study found no decrease in cancer risk with GLP-1RAs compared with metformin.
While the study results suggest that these drugs may reduce the risk of certain obesity-related cancers better than insulins, more research is needed, they said.
A version of this article appeared on WebMD.com.
Can Cannabis Help to Reduce Diabetes Risk?
ORLANDO, FLORIDA — , ongoing research suggests.
In the findings from the SONIC trial, Angela Bryan, PhD, professor and codirector of CUChange at the University of Colorado, Boulder, and colleagues hypothesized that “those inflammatory profiles would improve over the course of 4 weeks, particularly for those using a CBD [cannabidiol] as opposed to a THC [tetrahydrocannabinol] product.”
She presented the findings at the American Diabetes Association (ADA) 84th Scientific Sessions.
Other recent work by Dr. Bryan and her colleagues focused on the public health implications of cannabis legalization. One study examined the acute effects of legal-market cannabis on regular users’ subjective responses while running and found that cannabis use prior to exercise may lead to more enjoyment and runner’s high symptoms, although it also led to feelings of greater exertion. The positive effects could make exercise more appealing to individuals — including those with or at risk for diabetes — who might not otherwise engage in it, Bryan suggested.
Another study found that CBD-dominant forms of cannabis were associated with acute tension reduction, which might lead to longer-term reductions in anxiety. Bryan said the findings could be relevant in the context of diabetes distress.
‘Complicated’ Connection to Diabetes
In the SONIC study, participants who were regular cannabis users had an average age of 30 years and had body mass index (BMI) in the healthy range; 86% were White individuals, and 59% were men. They were matched with a similar group of individuals who had not used cannabis for at least a year. At baseline, participants’ NSDR Healthy Eating Index score overall was 51.24, showing a “need for improvement/poor diet.”
“Folks were maybe not killing it in the dietary domain,” Dr. Bryan acknowledged. “However, they were absolutely killing it in the physical activity domain.”
The researchers did oral glucose tolerance tests to calculate participants’ Matsuda index of insulin sensitivity and measured inflammatory markers, including tumor necrosis factor alpha, interleukin 6 (IL6), IL1 beta, IL12, interferon gamma, IL4, and monocyte chemoattractant protein 1 (MCP-1). In a “randomized encouragement” design, users were assigned to purchase and use a flower product for 4 weeks, however much they wanted. They completed daily assessments of their cannabis use, alcohol use, diet, and physical activity.
Between-group eating patterns were similar over the 4 weeks, with cannabis users reporting “marginally” more servings of salty snacks and food relative to nonusers. None of the daily associations were moderated by which cannabis product was used.
At 4 weeks, the team repeated the tests and, surprisingly, found no change in participants’ inflammatory markers. But what “popped out,” she said, was the “stark difference” between users and nonusers, with users having significantly lower levels of inflammatory biomarkers, circulating cytokines than the nonusers.
An exception were levels of MCP-1, which increased over time in the users but didn’t change in nonusers. Bryan said the finding is “perplexing” and asked the audience for thoughts, especially given that MCP-1 levels are positively associated with diabetes.
After controlling for BMI and inflammation, “we saw absolutely no effects of group or group by time interaction on the Matsuda index of insulin sensitivity,” she said. “Seemingly, there are no chronic effects of cannabis use on insulin sensitivity.”
Regarding limitations, Dr. Bryan acknowledged that the study is being conducted with “a very healthy sample of individuals who exercise a lot, and that might be factoring into our results, especially on insulin sensitivity.” The team could not use “gold standard” randomization because of the schedule-1 status of CannaVan cannabis, and the MCP-1 findings are difficult to interpret.
Furthermore, she noted, “our day-to-day level data show only slight differences in behavior between those who use cannabis and those who don’t and also very slight differences between users’ behavior on days that they use vs days that they don’t.
“I think all of this put together shows us that the relationship between cannabis use and potential implications for diabetes is a lot more complicated than just couch to couchlock [very deep relaxation/sedation] or runner’s high,” she said.
Bring On the CannaVan
The team’s next step, currently underway, is to get an acute response to cannabis with an oral glucose tolerance test that’s done immediately after the participant uses a product. Since cannabis is a schedule-1 drug, it can’t be taken into the laboratory. Therefore, the researchers are using a CannaVan — a mobile lab. “We drive it to their homes, they come out, we draw blood, and we send them back into their homes to use as much of their product as they want,” Bryan explained. “They come back out to the van. They do all the follow-up assessments. We take blood again to verify their exposure. And that’s how we collect those data.”
“Invite me back next year, and I will tell you what we found,” she quipped.
Dr. Bryan had no disclosures to report.
A version of this article first appeared on Medscape.com.
ORLANDO, FLORIDA — , ongoing research suggests.
In the findings from the SONIC trial, Angela Bryan, PhD, professor and codirector of CUChange at the University of Colorado, Boulder, and colleagues hypothesized that “those inflammatory profiles would improve over the course of 4 weeks, particularly for those using a CBD [cannabidiol] as opposed to a THC [tetrahydrocannabinol] product.”
She presented the findings at the American Diabetes Association (ADA) 84th Scientific Sessions.
Other recent work by Dr. Bryan and her colleagues focused on the public health implications of cannabis legalization. One study examined the acute effects of legal-market cannabis on regular users’ subjective responses while running and found that cannabis use prior to exercise may lead to more enjoyment and runner’s high symptoms, although it also led to feelings of greater exertion. The positive effects could make exercise more appealing to individuals — including those with or at risk for diabetes — who might not otherwise engage in it, Bryan suggested.
Another study found that CBD-dominant forms of cannabis were associated with acute tension reduction, which might lead to longer-term reductions in anxiety. Bryan said the findings could be relevant in the context of diabetes distress.
‘Complicated’ Connection to Diabetes
In the SONIC study, participants who were regular cannabis users had an average age of 30 years and had body mass index (BMI) in the healthy range; 86% were White individuals, and 59% were men. They were matched with a similar group of individuals who had not used cannabis for at least a year. At baseline, participants’ NSDR Healthy Eating Index score overall was 51.24, showing a “need for improvement/poor diet.”
“Folks were maybe not killing it in the dietary domain,” Dr. Bryan acknowledged. “However, they were absolutely killing it in the physical activity domain.”
The researchers did oral glucose tolerance tests to calculate participants’ Matsuda index of insulin sensitivity and measured inflammatory markers, including tumor necrosis factor alpha, interleukin 6 (IL6), IL1 beta, IL12, interferon gamma, IL4, and monocyte chemoattractant protein 1 (MCP-1). In a “randomized encouragement” design, users were assigned to purchase and use a flower product for 4 weeks, however much they wanted. They completed daily assessments of their cannabis use, alcohol use, diet, and physical activity.
Between-group eating patterns were similar over the 4 weeks, with cannabis users reporting “marginally” more servings of salty snacks and food relative to nonusers. None of the daily associations were moderated by which cannabis product was used.
At 4 weeks, the team repeated the tests and, surprisingly, found no change in participants’ inflammatory markers. But what “popped out,” she said, was the “stark difference” between users and nonusers, with users having significantly lower levels of inflammatory biomarkers, circulating cytokines than the nonusers.
An exception were levels of MCP-1, which increased over time in the users but didn’t change in nonusers. Bryan said the finding is “perplexing” and asked the audience for thoughts, especially given that MCP-1 levels are positively associated with diabetes.
After controlling for BMI and inflammation, “we saw absolutely no effects of group or group by time interaction on the Matsuda index of insulin sensitivity,” she said. “Seemingly, there are no chronic effects of cannabis use on insulin sensitivity.”
Regarding limitations, Dr. Bryan acknowledged that the study is being conducted with “a very healthy sample of individuals who exercise a lot, and that might be factoring into our results, especially on insulin sensitivity.” The team could not use “gold standard” randomization because of the schedule-1 status of CannaVan cannabis, and the MCP-1 findings are difficult to interpret.
Furthermore, she noted, “our day-to-day level data show only slight differences in behavior between those who use cannabis and those who don’t and also very slight differences between users’ behavior on days that they use vs days that they don’t.
“I think all of this put together shows us that the relationship between cannabis use and potential implications for diabetes is a lot more complicated than just couch to couchlock [very deep relaxation/sedation] or runner’s high,” she said.
Bring On the CannaVan
The team’s next step, currently underway, is to get an acute response to cannabis with an oral glucose tolerance test that’s done immediately after the participant uses a product. Since cannabis is a schedule-1 drug, it can’t be taken into the laboratory. Therefore, the researchers are using a CannaVan — a mobile lab. “We drive it to their homes, they come out, we draw blood, and we send them back into their homes to use as much of their product as they want,” Bryan explained. “They come back out to the van. They do all the follow-up assessments. We take blood again to verify their exposure. And that’s how we collect those data.”
“Invite me back next year, and I will tell you what we found,” she quipped.
Dr. Bryan had no disclosures to report.
A version of this article first appeared on Medscape.com.
ORLANDO, FLORIDA — , ongoing research suggests.
In the findings from the SONIC trial, Angela Bryan, PhD, professor and codirector of CUChange at the University of Colorado, Boulder, and colleagues hypothesized that “those inflammatory profiles would improve over the course of 4 weeks, particularly for those using a CBD [cannabidiol] as opposed to a THC [tetrahydrocannabinol] product.”
She presented the findings at the American Diabetes Association (ADA) 84th Scientific Sessions.
Other recent work by Dr. Bryan and her colleagues focused on the public health implications of cannabis legalization. One study examined the acute effects of legal-market cannabis on regular users’ subjective responses while running and found that cannabis use prior to exercise may lead to more enjoyment and runner’s high symptoms, although it also led to feelings of greater exertion. The positive effects could make exercise more appealing to individuals — including those with or at risk for diabetes — who might not otherwise engage in it, Bryan suggested.
Another study found that CBD-dominant forms of cannabis were associated with acute tension reduction, which might lead to longer-term reductions in anxiety. Bryan said the findings could be relevant in the context of diabetes distress.
‘Complicated’ Connection to Diabetes
In the SONIC study, participants who were regular cannabis users had an average age of 30 years and had body mass index (BMI) in the healthy range; 86% were White individuals, and 59% were men. They were matched with a similar group of individuals who had not used cannabis for at least a year. At baseline, participants’ NSDR Healthy Eating Index score overall was 51.24, showing a “need for improvement/poor diet.”
“Folks were maybe not killing it in the dietary domain,” Dr. Bryan acknowledged. “However, they were absolutely killing it in the physical activity domain.”
The researchers did oral glucose tolerance tests to calculate participants’ Matsuda index of insulin sensitivity and measured inflammatory markers, including tumor necrosis factor alpha, interleukin 6 (IL6), IL1 beta, IL12, interferon gamma, IL4, and monocyte chemoattractant protein 1 (MCP-1). In a “randomized encouragement” design, users were assigned to purchase and use a flower product for 4 weeks, however much they wanted. They completed daily assessments of their cannabis use, alcohol use, diet, and physical activity.
Between-group eating patterns were similar over the 4 weeks, with cannabis users reporting “marginally” more servings of salty snacks and food relative to nonusers. None of the daily associations were moderated by which cannabis product was used.
At 4 weeks, the team repeated the tests and, surprisingly, found no change in participants’ inflammatory markers. But what “popped out,” she said, was the “stark difference” between users and nonusers, with users having significantly lower levels of inflammatory biomarkers, circulating cytokines than the nonusers.
An exception were levels of MCP-1, which increased over time in the users but didn’t change in nonusers. Bryan said the finding is “perplexing” and asked the audience for thoughts, especially given that MCP-1 levels are positively associated with diabetes.
After controlling for BMI and inflammation, “we saw absolutely no effects of group or group by time interaction on the Matsuda index of insulin sensitivity,” she said. “Seemingly, there are no chronic effects of cannabis use on insulin sensitivity.”
Regarding limitations, Dr. Bryan acknowledged that the study is being conducted with “a very healthy sample of individuals who exercise a lot, and that might be factoring into our results, especially on insulin sensitivity.” The team could not use “gold standard” randomization because of the schedule-1 status of CannaVan cannabis, and the MCP-1 findings are difficult to interpret.
Furthermore, she noted, “our day-to-day level data show only slight differences in behavior between those who use cannabis and those who don’t and also very slight differences between users’ behavior on days that they use vs days that they don’t.
“I think all of this put together shows us that the relationship between cannabis use and potential implications for diabetes is a lot more complicated than just couch to couchlock [very deep relaxation/sedation] or runner’s high,” she said.
Bring On the CannaVan
The team’s next step, currently underway, is to get an acute response to cannabis with an oral glucose tolerance test that’s done immediately after the participant uses a product. Since cannabis is a schedule-1 drug, it can’t be taken into the laboratory. Therefore, the researchers are using a CannaVan — a mobile lab. “We drive it to their homes, they come out, we draw blood, and we send them back into their homes to use as much of their product as they want,” Bryan explained. “They come back out to the van. They do all the follow-up assessments. We take blood again to verify their exposure. And that’s how we collect those data.”
“Invite me back next year, and I will tell you what we found,” she quipped.
Dr. Bryan had no disclosures to report.
A version of this article first appeared on Medscape.com.
FROM ADA 2024
Can Response to Semaglutide Be Predicted With a Genetic Test?
ORLANDO, FLORIDA — An analysis of data from 137 patients suggested testing whether people have a trait known as abnormal postprandial satiety (APS), or hungry gut, can predict how well they may respond to the obesity drug semaglutide, although it failed to establish this link for the somewhat similar tirzepatide.
At the American Diabetes Association (ADA) Scientific Sessions, Maria Daniela Hurtado Andrade, MD, PhD, of the Mayo Clinic, Jacksonville, Florida, presented results of a study using the MyPhenome Hungry Gut test, which was developed through machine learning, a form of artificial intelligence.
The test is part of the MyPhenome obesity phenotyping portfolio from Phenomix Sciences, a company founded by Mayo Clinic physicians, scientists, and researchers Andres Acosta, MD, PhD, and Michael Camilleri, MD, DSc.
At the ADA meeting, Dr. Hurtado Andrade discussed a test of 137 adults: 91 were considered to have a positive biomarker for abnormal postprandial satiety (APS+), and 46 who did not have it were classified as APS−. These were patients of the Mayo Clinic who were already taking obesity drugs and agreed to phenotyping. Of this group, 113 were on semaglutide and 24 on tirzepatide.
, with a mean 19.4% body weight loss in the APS+ group and a mean loss of 22.1% in the APS− group.
Further studies are warranted to assess the clinical utility of these biomarkers, Dr. Hurtado Andrade said. But these findings do support “the use of precision medicine for obesity based on an individual’s genetic background,” she said.
Dr. Hurtado Andrade’s presentation impressed fellow researchers who noted it as an early step toward the long-sought goal of more personalized medicine.
Daniel S. Hsia, MD, of Emory University, Atlanta, who led the ADA session at which Dr. Hurtado Andrade presented, said it was good to see new information being presented about using genetic risk scoring in obesity.
“The numbers were very small for the tirzepatide group as compared to the semaglutide group, so it’s a little hard to really come to any significant conclusions,” Dr. Hsia said in an interview.
At the ADA meeting, Ajay D. Rao, MD, MMSc, of Temple University, Philadelphia, said clinicians are excited about the idea of having biomarkers to aid in decisions about approaches to obesity.
In a follow-up interview with this news organization, Dr. Rao said he too is looking to see more testing of this approach to care, while describing Hurtado Andrade’s work as a “very well-done study.”
“We still need to see more large-scale studies of responsiveness to certain interventions,” he said.
Dr. Hurtado Andrade noted that researchers at academic centers such as Mayo can try to hone in the combination of genetic and other factors that led to obesity, such as emotional eating patterns and abnormal postprandial satiety.
But this approach is not widely scalable, as it demands resources of time and staffing that not all clinicians and patients enjoy.
“To overcome this challenge, our team has been working on developing biomarkers” such as the machine-learning gene risk score used to predict abnormal postprandial satiety, she said.
Findings for a related project were presented in May at Digestive Disease Week, as this news organization reported earlier. In that study, researchers calculated the genetic risk score for 84 adults undergoing weight loss interventions at Mayo Clinic who were prescribed the glucagon-like peptide 1 receptor agonist semaglutide.
This news organization separately asked Phenomix about the sales of MyPhenome Test kits. These cost $499, and about 500 tests have been sold since commercialization started last year, a spokesperson said.
The study was funded by Phenomix Sciences. Separately, Dr. Hurtado Andrade has worked as a consultant for Novo Nordisk and received research support from the National Institutes of Health.
A version of this article first appeared on Medscape.com.
ORLANDO, FLORIDA — An analysis of data from 137 patients suggested testing whether people have a trait known as abnormal postprandial satiety (APS), or hungry gut, can predict how well they may respond to the obesity drug semaglutide, although it failed to establish this link for the somewhat similar tirzepatide.
At the American Diabetes Association (ADA) Scientific Sessions, Maria Daniela Hurtado Andrade, MD, PhD, of the Mayo Clinic, Jacksonville, Florida, presented results of a study using the MyPhenome Hungry Gut test, which was developed through machine learning, a form of artificial intelligence.
The test is part of the MyPhenome obesity phenotyping portfolio from Phenomix Sciences, a company founded by Mayo Clinic physicians, scientists, and researchers Andres Acosta, MD, PhD, and Michael Camilleri, MD, DSc.
At the ADA meeting, Dr. Hurtado Andrade discussed a test of 137 adults: 91 were considered to have a positive biomarker for abnormal postprandial satiety (APS+), and 46 who did not have it were classified as APS−. These were patients of the Mayo Clinic who were already taking obesity drugs and agreed to phenotyping. Of this group, 113 were on semaglutide and 24 on tirzepatide.
, with a mean 19.4% body weight loss in the APS+ group and a mean loss of 22.1% in the APS− group.
Further studies are warranted to assess the clinical utility of these biomarkers, Dr. Hurtado Andrade said. But these findings do support “the use of precision medicine for obesity based on an individual’s genetic background,” she said.
Dr. Hurtado Andrade’s presentation impressed fellow researchers who noted it as an early step toward the long-sought goal of more personalized medicine.
Daniel S. Hsia, MD, of Emory University, Atlanta, who led the ADA session at which Dr. Hurtado Andrade presented, said it was good to see new information being presented about using genetic risk scoring in obesity.
“The numbers were very small for the tirzepatide group as compared to the semaglutide group, so it’s a little hard to really come to any significant conclusions,” Dr. Hsia said in an interview.
At the ADA meeting, Ajay D. Rao, MD, MMSc, of Temple University, Philadelphia, said clinicians are excited about the idea of having biomarkers to aid in decisions about approaches to obesity.
In a follow-up interview with this news organization, Dr. Rao said he too is looking to see more testing of this approach to care, while describing Hurtado Andrade’s work as a “very well-done study.”
“We still need to see more large-scale studies of responsiveness to certain interventions,” he said.
Dr. Hurtado Andrade noted that researchers at academic centers such as Mayo can try to hone in the combination of genetic and other factors that led to obesity, such as emotional eating patterns and abnormal postprandial satiety.
But this approach is not widely scalable, as it demands resources of time and staffing that not all clinicians and patients enjoy.
“To overcome this challenge, our team has been working on developing biomarkers” such as the machine-learning gene risk score used to predict abnormal postprandial satiety, she said.
Findings for a related project were presented in May at Digestive Disease Week, as this news organization reported earlier. In that study, researchers calculated the genetic risk score for 84 adults undergoing weight loss interventions at Mayo Clinic who were prescribed the glucagon-like peptide 1 receptor agonist semaglutide.
This news organization separately asked Phenomix about the sales of MyPhenome Test kits. These cost $499, and about 500 tests have been sold since commercialization started last year, a spokesperson said.
The study was funded by Phenomix Sciences. Separately, Dr. Hurtado Andrade has worked as a consultant for Novo Nordisk and received research support from the National Institutes of Health.
A version of this article first appeared on Medscape.com.
ORLANDO, FLORIDA — An analysis of data from 137 patients suggested testing whether people have a trait known as abnormal postprandial satiety (APS), or hungry gut, can predict how well they may respond to the obesity drug semaglutide, although it failed to establish this link for the somewhat similar tirzepatide.
At the American Diabetes Association (ADA) Scientific Sessions, Maria Daniela Hurtado Andrade, MD, PhD, of the Mayo Clinic, Jacksonville, Florida, presented results of a study using the MyPhenome Hungry Gut test, which was developed through machine learning, a form of artificial intelligence.
The test is part of the MyPhenome obesity phenotyping portfolio from Phenomix Sciences, a company founded by Mayo Clinic physicians, scientists, and researchers Andres Acosta, MD, PhD, and Michael Camilleri, MD, DSc.
At the ADA meeting, Dr. Hurtado Andrade discussed a test of 137 adults: 91 were considered to have a positive biomarker for abnormal postprandial satiety (APS+), and 46 who did not have it were classified as APS−. These were patients of the Mayo Clinic who were already taking obesity drugs and agreed to phenotyping. Of this group, 113 were on semaglutide and 24 on tirzepatide.
, with a mean 19.4% body weight loss in the APS+ group and a mean loss of 22.1% in the APS− group.
Further studies are warranted to assess the clinical utility of these biomarkers, Dr. Hurtado Andrade said. But these findings do support “the use of precision medicine for obesity based on an individual’s genetic background,” she said.
Dr. Hurtado Andrade’s presentation impressed fellow researchers who noted it as an early step toward the long-sought goal of more personalized medicine.
Daniel S. Hsia, MD, of Emory University, Atlanta, who led the ADA session at which Dr. Hurtado Andrade presented, said it was good to see new information being presented about using genetic risk scoring in obesity.
“The numbers were very small for the tirzepatide group as compared to the semaglutide group, so it’s a little hard to really come to any significant conclusions,” Dr. Hsia said in an interview.
At the ADA meeting, Ajay D. Rao, MD, MMSc, of Temple University, Philadelphia, said clinicians are excited about the idea of having biomarkers to aid in decisions about approaches to obesity.
In a follow-up interview with this news organization, Dr. Rao said he too is looking to see more testing of this approach to care, while describing Hurtado Andrade’s work as a “very well-done study.”
“We still need to see more large-scale studies of responsiveness to certain interventions,” he said.
Dr. Hurtado Andrade noted that researchers at academic centers such as Mayo can try to hone in the combination of genetic and other factors that led to obesity, such as emotional eating patterns and abnormal postprandial satiety.
But this approach is not widely scalable, as it demands resources of time and staffing that not all clinicians and patients enjoy.
“To overcome this challenge, our team has been working on developing biomarkers” such as the machine-learning gene risk score used to predict abnormal postprandial satiety, she said.
Findings for a related project were presented in May at Digestive Disease Week, as this news organization reported earlier. In that study, researchers calculated the genetic risk score for 84 adults undergoing weight loss interventions at Mayo Clinic who were prescribed the glucagon-like peptide 1 receptor agonist semaglutide.
This news organization separately asked Phenomix about the sales of MyPhenome Test kits. These cost $499, and about 500 tests have been sold since commercialization started last year, a spokesperson said.
The study was funded by Phenomix Sciences. Separately, Dr. Hurtado Andrade has worked as a consultant for Novo Nordisk and received research support from the National Institutes of Health.
A version of this article first appeared on Medscape.com.
FROM ADA 2024
GLP-1 Thyroid Warning Could Increase Overdiagnosis
ORLANDO, Florida — Clinicians should keep in mind concerns about overdiagnosis of thyroid cancer when prescribing glucagon-like peptide 1 (GLP-1) drugs, as the US boxed warning about this risk for this class of medicines for certain tumors in mice could trigger excess screening, an expert endocrinologist said.
Speaking at the annual American Diabetes Association (ADA) 84th Scientific Sessions, Elizabeth N. Pearce, MD, MSc, a professor of medicine at Boston University, Boston, reviewed the different approaches US and European regulators have taken for the GLP-1 drugs. She also explained the current concerns about the wide use of thyroid screening in general and how these intersect with the rapid uptake of the GLP-1 drugs.
said Dr. Pearce, who is also a former board president of the American Thyroid Association (ATA). “We do not want to contribute to this epidemic of overdiagnosis of thyroid cancer.”
The ATA and the US Preventive Services Task Force (USPSTF) are among the health organizations that have in recent years sought to boost public awareness of the potential risks for excess screening of thyroid nodules. In 2017, the USPSTF, which influences insurance coverage, recommended against routine screening for thyroid cancer in asymptomatic adults. At that time, the incidence of thyroid cancer detection had increased by 4.5% per year over a decade, faster than for any other cancer, but without a corresponding change in the mortality rate, USPSTF said.
“Unequivocally, the thyroid cancer mortality has not kept pace with thyroid cancer detection,” Dr. Pearce said at the ADA meeting. “We’ve been diagnosing a lot of small thyroid cancers that people would otherwise have been destined to die with and not die of.”
Dr. Pearce said clinicians should be careful not to overly restrict access to GLP-1 drugs due to concerns about thyroid cancer — and they should use care in screening nodules.
It’s possible that the weight loss experienced by people taking GLP-1 drugs may make preexisting thyroid nodules more prominent, Dr. Pearce said. It’s also likely that the US boxed warning on thyroid risk on GLP-1 drugs makes clinicians and patients more likely to look for these kinds of growths.
Dr. Pearce urged adherence to guidelines such as the ones the ATA published in 2015 for assessing nodules.
In an interview with this news organization, Dr. Pearce noted the frequency of CT scans in US medical practice in turning up many incidental thyroid nodules, a finding that can cause some panic for patients and their clinicians.
But it helps to put these findings in context, as by the age of 50, about 40% of women will have at least one thyroid nodule, making this a very common finding, she said.
“The vast majority are not malignant,” Dr. Pearce said. “When you explain this to patients, it alleviates anxiety.”
The US, European Union Differences
In the United States, the label for GLP-1 drugs starts with a boxed warning about thyroid C-cell tumors seen in rodents given these medicines in testing.
It’s unknown if the medicines could cause medullary thyroid carcinoma (MTC) in humans, the label adds. The drug is contraindicated in patients with a personal or family history of MTC or multiple endocrine neoplasia syndrome 2, the boxed warning says. This is based largely on data seen in laboratory rats.
“It’s a big black box warning that gets people’s attention,” Dr. Pearce said. “Important to note that if you practice in Europe, you will not be familiar with this labeling because it doesn’t exist there. They’ve never had this warning on the European package.”
The European Medicines Agency (EMA) does include information about the results of rodent studies as part of the discussion of known and potential risks for GLP-1 drugs but has not emphasized it in the same way as the US drug labels do.
For example, the public assessment report posted on the EMA website for semaglutide (Ozempic, Novo Nordisk) notes that nonlethal thyroid C-cell tumors “observed in rodents are a class effect for GLP-1 receptor agonists.” It’s possible that these may be due to a particular sensitivity in rodents, the report said.
“The relevance for humans is considered to be low but cannot be completely excluded,” the EMA report said in the product information section of the report.
There has been ongoing interest in the issue.
The EMA’s Pharmacovigilance Risk Assessment Committee (PRAC) in October concluded that the available evidence does not support a causal association between GLP-1 receptor agonists and thyroid cancer.
The EMA’s PRAC safety committee said it began assessing the evidence about a possible connection following the publication of a study in 2022 in the journal Diabetes Care. That paper reported on an analysis that suggested increased risk for all thyroid cancer and medullary thyroid cancer with the use of GLP-1 drugs, particularly after 1-3 years of treatment.
The EMA’s PRAC said that in making its decision, it also considered other published papers on this topic as well as clinical and postmarketing data on GLP-1 drugs.
In an email interview, Jean-Luc Faillie, MD, PhD, corresponding author of the Diabetes Care paper, called for continued “vigilance and prudence in clinical practice” with GLP-1 drugs.
His paper reported on a case-control analysis on the basis of reports from the French national healthcare insurance system database, looking at people who had taken GLP-1 drugs and similar people who had not.
Due to a lack of a specific diagnostic code for medullary thyroid cancers, the researchers used a composite definition combining thyroid cancer diagnosis with several calcitonin tests, a carcinoembryonic antigen test, or a specific treatment (vandetanib) to identify potential cases of this cancer.
It’s possible that this method could have led to overestimation of MTC among the cases of thyroid cancer, wrote Dr. Faillie, who is a professor at France’s Université de Montpellier, Montpellier, France, and part of its pharmacological vigilance service.
“Nevertheless, it’s crucial to emphasize that any potential overestimation of MTC cases would likely apply equally to both GLP-1 receptor agonist–exposed and unexposed groups,” Dr. Faillie wrote. “Therefore, it should not significantly impact our main findings regarding the suggested increased risk associated with GLP-1 receptor agonist use.”
Dr. Pearce disclosed honoraria for speaking at the Merck China Forum. Dr. Faille and his coauthors reported no conflicts of interest in the publication of their study. Their research was supported by the French Medicines Agency (Agence Nationale de Sécurité du Médicament et des Produits de Santé, grant 2019S015) in the context of a partnership with the Health Product Epidemiology Scientific Interest Group (EPI-PHARE). The study was part of France’s Drugs Systematized Assessment in Real-Life Environment (DRUGS-SAFEr) research program.
A version of this article first appeared on Medscape.com.
ORLANDO, Florida — Clinicians should keep in mind concerns about overdiagnosis of thyroid cancer when prescribing glucagon-like peptide 1 (GLP-1) drugs, as the US boxed warning about this risk for this class of medicines for certain tumors in mice could trigger excess screening, an expert endocrinologist said.
Speaking at the annual American Diabetes Association (ADA) 84th Scientific Sessions, Elizabeth N. Pearce, MD, MSc, a professor of medicine at Boston University, Boston, reviewed the different approaches US and European regulators have taken for the GLP-1 drugs. She also explained the current concerns about the wide use of thyroid screening in general and how these intersect with the rapid uptake of the GLP-1 drugs.
said Dr. Pearce, who is also a former board president of the American Thyroid Association (ATA). “We do not want to contribute to this epidemic of overdiagnosis of thyroid cancer.”
The ATA and the US Preventive Services Task Force (USPSTF) are among the health organizations that have in recent years sought to boost public awareness of the potential risks for excess screening of thyroid nodules. In 2017, the USPSTF, which influences insurance coverage, recommended against routine screening for thyroid cancer in asymptomatic adults. At that time, the incidence of thyroid cancer detection had increased by 4.5% per year over a decade, faster than for any other cancer, but without a corresponding change in the mortality rate, USPSTF said.
“Unequivocally, the thyroid cancer mortality has not kept pace with thyroid cancer detection,” Dr. Pearce said at the ADA meeting. “We’ve been diagnosing a lot of small thyroid cancers that people would otherwise have been destined to die with and not die of.”
Dr. Pearce said clinicians should be careful not to overly restrict access to GLP-1 drugs due to concerns about thyroid cancer — and they should use care in screening nodules.
It’s possible that the weight loss experienced by people taking GLP-1 drugs may make preexisting thyroid nodules more prominent, Dr. Pearce said. It’s also likely that the US boxed warning on thyroid risk on GLP-1 drugs makes clinicians and patients more likely to look for these kinds of growths.
Dr. Pearce urged adherence to guidelines such as the ones the ATA published in 2015 for assessing nodules.
In an interview with this news organization, Dr. Pearce noted the frequency of CT scans in US medical practice in turning up many incidental thyroid nodules, a finding that can cause some panic for patients and their clinicians.
But it helps to put these findings in context, as by the age of 50, about 40% of women will have at least one thyroid nodule, making this a very common finding, she said.
“The vast majority are not malignant,” Dr. Pearce said. “When you explain this to patients, it alleviates anxiety.”
The US, European Union Differences
In the United States, the label for GLP-1 drugs starts with a boxed warning about thyroid C-cell tumors seen in rodents given these medicines in testing.
It’s unknown if the medicines could cause medullary thyroid carcinoma (MTC) in humans, the label adds. The drug is contraindicated in patients with a personal or family history of MTC or multiple endocrine neoplasia syndrome 2, the boxed warning says. This is based largely on data seen in laboratory rats.
“It’s a big black box warning that gets people’s attention,” Dr. Pearce said. “Important to note that if you practice in Europe, you will not be familiar with this labeling because it doesn’t exist there. They’ve never had this warning on the European package.”
The European Medicines Agency (EMA) does include information about the results of rodent studies as part of the discussion of known and potential risks for GLP-1 drugs but has not emphasized it in the same way as the US drug labels do.
For example, the public assessment report posted on the EMA website for semaglutide (Ozempic, Novo Nordisk) notes that nonlethal thyroid C-cell tumors “observed in rodents are a class effect for GLP-1 receptor agonists.” It’s possible that these may be due to a particular sensitivity in rodents, the report said.
“The relevance for humans is considered to be low but cannot be completely excluded,” the EMA report said in the product information section of the report.
There has been ongoing interest in the issue.
The EMA’s Pharmacovigilance Risk Assessment Committee (PRAC) in October concluded that the available evidence does not support a causal association between GLP-1 receptor agonists and thyroid cancer.
The EMA’s PRAC safety committee said it began assessing the evidence about a possible connection following the publication of a study in 2022 in the journal Diabetes Care. That paper reported on an analysis that suggested increased risk for all thyroid cancer and medullary thyroid cancer with the use of GLP-1 drugs, particularly after 1-3 years of treatment.
The EMA’s PRAC said that in making its decision, it also considered other published papers on this topic as well as clinical and postmarketing data on GLP-1 drugs.
In an email interview, Jean-Luc Faillie, MD, PhD, corresponding author of the Diabetes Care paper, called for continued “vigilance and prudence in clinical practice” with GLP-1 drugs.
His paper reported on a case-control analysis on the basis of reports from the French national healthcare insurance system database, looking at people who had taken GLP-1 drugs and similar people who had not.
Due to a lack of a specific diagnostic code for medullary thyroid cancers, the researchers used a composite definition combining thyroid cancer diagnosis with several calcitonin tests, a carcinoembryonic antigen test, or a specific treatment (vandetanib) to identify potential cases of this cancer.
It’s possible that this method could have led to overestimation of MTC among the cases of thyroid cancer, wrote Dr. Faillie, who is a professor at France’s Université de Montpellier, Montpellier, France, and part of its pharmacological vigilance service.
“Nevertheless, it’s crucial to emphasize that any potential overestimation of MTC cases would likely apply equally to both GLP-1 receptor agonist–exposed and unexposed groups,” Dr. Faillie wrote. “Therefore, it should not significantly impact our main findings regarding the suggested increased risk associated with GLP-1 receptor agonist use.”
Dr. Pearce disclosed honoraria for speaking at the Merck China Forum. Dr. Faille and his coauthors reported no conflicts of interest in the publication of their study. Their research was supported by the French Medicines Agency (Agence Nationale de Sécurité du Médicament et des Produits de Santé, grant 2019S015) in the context of a partnership with the Health Product Epidemiology Scientific Interest Group (EPI-PHARE). The study was part of France’s Drugs Systematized Assessment in Real-Life Environment (DRUGS-SAFEr) research program.
A version of this article first appeared on Medscape.com.
ORLANDO, Florida — Clinicians should keep in mind concerns about overdiagnosis of thyroid cancer when prescribing glucagon-like peptide 1 (GLP-1) drugs, as the US boxed warning about this risk for this class of medicines for certain tumors in mice could trigger excess screening, an expert endocrinologist said.
Speaking at the annual American Diabetes Association (ADA) 84th Scientific Sessions, Elizabeth N. Pearce, MD, MSc, a professor of medicine at Boston University, Boston, reviewed the different approaches US and European regulators have taken for the GLP-1 drugs. She also explained the current concerns about the wide use of thyroid screening in general and how these intersect with the rapid uptake of the GLP-1 drugs.
said Dr. Pearce, who is also a former board president of the American Thyroid Association (ATA). “We do not want to contribute to this epidemic of overdiagnosis of thyroid cancer.”
The ATA and the US Preventive Services Task Force (USPSTF) are among the health organizations that have in recent years sought to boost public awareness of the potential risks for excess screening of thyroid nodules. In 2017, the USPSTF, which influences insurance coverage, recommended against routine screening for thyroid cancer in asymptomatic adults. At that time, the incidence of thyroid cancer detection had increased by 4.5% per year over a decade, faster than for any other cancer, but without a corresponding change in the mortality rate, USPSTF said.
“Unequivocally, the thyroid cancer mortality has not kept pace with thyroid cancer detection,” Dr. Pearce said at the ADA meeting. “We’ve been diagnosing a lot of small thyroid cancers that people would otherwise have been destined to die with and not die of.”
Dr. Pearce said clinicians should be careful not to overly restrict access to GLP-1 drugs due to concerns about thyroid cancer — and they should use care in screening nodules.
It’s possible that the weight loss experienced by people taking GLP-1 drugs may make preexisting thyroid nodules more prominent, Dr. Pearce said. It’s also likely that the US boxed warning on thyroid risk on GLP-1 drugs makes clinicians and patients more likely to look for these kinds of growths.
Dr. Pearce urged adherence to guidelines such as the ones the ATA published in 2015 for assessing nodules.
In an interview with this news organization, Dr. Pearce noted the frequency of CT scans in US medical practice in turning up many incidental thyroid nodules, a finding that can cause some panic for patients and their clinicians.
But it helps to put these findings in context, as by the age of 50, about 40% of women will have at least one thyroid nodule, making this a very common finding, she said.
“The vast majority are not malignant,” Dr. Pearce said. “When you explain this to patients, it alleviates anxiety.”
The US, European Union Differences
In the United States, the label for GLP-1 drugs starts with a boxed warning about thyroid C-cell tumors seen in rodents given these medicines in testing.
It’s unknown if the medicines could cause medullary thyroid carcinoma (MTC) in humans, the label adds. The drug is contraindicated in patients with a personal or family history of MTC or multiple endocrine neoplasia syndrome 2, the boxed warning says. This is based largely on data seen in laboratory rats.
“It’s a big black box warning that gets people’s attention,” Dr. Pearce said. “Important to note that if you practice in Europe, you will not be familiar with this labeling because it doesn’t exist there. They’ve never had this warning on the European package.”
The European Medicines Agency (EMA) does include information about the results of rodent studies as part of the discussion of known and potential risks for GLP-1 drugs but has not emphasized it in the same way as the US drug labels do.
For example, the public assessment report posted on the EMA website for semaglutide (Ozempic, Novo Nordisk) notes that nonlethal thyroid C-cell tumors “observed in rodents are a class effect for GLP-1 receptor agonists.” It’s possible that these may be due to a particular sensitivity in rodents, the report said.
“The relevance for humans is considered to be low but cannot be completely excluded,” the EMA report said in the product information section of the report.
There has been ongoing interest in the issue.
The EMA’s Pharmacovigilance Risk Assessment Committee (PRAC) in October concluded that the available evidence does not support a causal association between GLP-1 receptor agonists and thyroid cancer.
The EMA’s PRAC safety committee said it began assessing the evidence about a possible connection following the publication of a study in 2022 in the journal Diabetes Care. That paper reported on an analysis that suggested increased risk for all thyroid cancer and medullary thyroid cancer with the use of GLP-1 drugs, particularly after 1-3 years of treatment.
The EMA’s PRAC said that in making its decision, it also considered other published papers on this topic as well as clinical and postmarketing data on GLP-1 drugs.
In an email interview, Jean-Luc Faillie, MD, PhD, corresponding author of the Diabetes Care paper, called for continued “vigilance and prudence in clinical practice” with GLP-1 drugs.
His paper reported on a case-control analysis on the basis of reports from the French national healthcare insurance system database, looking at people who had taken GLP-1 drugs and similar people who had not.
Due to a lack of a specific diagnostic code for medullary thyroid cancers, the researchers used a composite definition combining thyroid cancer diagnosis with several calcitonin tests, a carcinoembryonic antigen test, or a specific treatment (vandetanib) to identify potential cases of this cancer.
It’s possible that this method could have led to overestimation of MTC among the cases of thyroid cancer, wrote Dr. Faillie, who is a professor at France’s Université de Montpellier, Montpellier, France, and part of its pharmacological vigilance service.
“Nevertheless, it’s crucial to emphasize that any potential overestimation of MTC cases would likely apply equally to both GLP-1 receptor agonist–exposed and unexposed groups,” Dr. Faillie wrote. “Therefore, it should not significantly impact our main findings regarding the suggested increased risk associated with GLP-1 receptor agonist use.”
Dr. Pearce disclosed honoraria for speaking at the Merck China Forum. Dr. Faille and his coauthors reported no conflicts of interest in the publication of their study. Their research was supported by the French Medicines Agency (Agence Nationale de Sécurité du Médicament et des Produits de Santé, grant 2019S015) in the context of a partnership with the Health Product Epidemiology Scientific Interest Group (EPI-PHARE). The study was part of France’s Drugs Systematized Assessment in Real-Life Environment (DRUGS-SAFEr) research program.
A version of this article first appeared on Medscape.com.
FROM ADA 2024