Clinical Endocrinology News

TOPLINE:

Adolescent girls with polycystic ovary syndrome (PCOS) have an increased risk for hypertension, according to a new study which underscores the importance of blood pressure surveillance in this population.

METHODOLOGY:

• The retrospective cohort study examined the association between PCOS and hypertension in adolescent girls within a diverse community-based US healthcare population.
• The researchers analyzed data from 224,418 adolescent girls (mean age at index visit, 14.9 years; 15.8% classified as having obesity) who had a well-child visit between 2013 and 2019, during which their systolic blood pressure and diastolic blood pressure were measured.
• Blood pressure in the hypertensive range was classified using the 2017 American Academy of Pediatrics Practice Guideline, with thresholds of 130/80 mm Hg or greater.

TAKEAWAY:

• The proportion of adolescent girls with high blood pressure was significantly greater among those with PCOS than among those without the condition (18.2% vs 7.1%; P < .001).
• Adolescent girls with PCOS had a 25% higher risk for hypertension than those without the disorder (adjusted odds ratio [aOR], 1.25; 95% CI, 1.10-1.42).
• Similarly, adolescent girls with obesity and PCOS had a 23% higher risk for high blood pressure than those without PCOS (aOR, 1.23; 95% CI, 1.06-1.42).

IN PRACTICE:

“The high prevalence of [hypertension] associated with PCOS emphasizes the key role of early [blood pressure] monitoring in this high-risk group,” the authors of the study wrote.

SOURCE:

The study was led by Sherry Zhang, MD, Kaiser Permanente Oakland Medical Center, Oakland, California, and was published online in the American Journal of Preventive Medicine.

LIMITATIONS:

The study relied on coded diagnoses of PCOS from clinical settings, which may have led to detection and referral biases. The findings may not be generalizable to an unselected population in which adolescent girls are systematically screened for both PCOS and hypertension.

DISCLOSURES:

This study was funded by the Cardiovascular and Metabolic Conditions Research Section and the Biostatistical Consulting Unit at the Division of Research, Kaiser Permanente Northern California and by the Kaiser Permanente Northern California Community Health Program. The authors declared having no conflicts of interest.

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:

Adolescent girls with polycystic ovary syndrome (PCOS) have an increased risk for hypertension, according to a new study which underscores the importance of blood pressure surveillance in this population.

METHODOLOGY:

• The retrospective cohort study examined the association between PCOS and hypertension in adolescent girls within a diverse community-based US healthcare population.
• The researchers analyzed data from 224,418 adolescent girls (mean age at index visit, 14.9 years; 15.8% classified as having obesity) who had a well-child visit between 2013 and 2019, during which their systolic blood pressure and diastolic blood pressure were measured.
• Blood pressure in the hypertensive range was classified using the 2017 American Academy of Pediatrics Practice Guideline, with thresholds of 130/80 mm Hg or greater.

TAKEAWAY:

• The proportion of adolescent girls with high blood pressure was significantly greater among those with PCOS than among those without the condition (18.2% vs 7.1%; P < .001).
• Adolescent girls with PCOS had a 25% higher risk for hypertension than those without the disorder (adjusted odds ratio [aOR], 1.25; 95% CI, 1.10-1.42).
• Similarly, adolescent girls with obesity and PCOS had a 23% higher risk for high blood pressure than those without PCOS (aOR, 1.23; 95% CI, 1.06-1.42).

IN PRACTICE:

“The high prevalence of [hypertension] associated with PCOS emphasizes the key role of early [blood pressure] monitoring in this high-risk group,” the authors of the study wrote.

SOURCE:

The study was led by Sherry Zhang, MD, Kaiser Permanente Oakland Medical Center, Oakland, California, and was published online in the American Journal of Preventive Medicine.

LIMITATIONS:

The study relied on coded diagnoses of PCOS from clinical settings, which may have led to detection and referral biases. The findings may not be generalizable to an unselected population in which adolescent girls are systematically screened for both PCOS and hypertension.

DISCLOSURES:

This study was funded by the Cardiovascular and Metabolic Conditions Research Section and the Biostatistical Consulting Unit at the Division of Research, Kaiser Permanente Northern California and by the Kaiser Permanente Northern California Community Health Program. The authors declared having no conflicts of interest.

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:

Adolescent girls with polycystic ovary syndrome (PCOS) have an increased risk for hypertension, according to a new study which underscores the importance of blood pressure surveillance in this population.

METHODOLOGY:

• The retrospective cohort study examined the association between PCOS and hypertension in adolescent girls within a diverse community-based US healthcare population.
• The researchers analyzed data from 224,418 adolescent girls (mean age at index visit, 14.9 years; 15.8% classified as having obesity) who had a well-child visit between 2013 and 2019, during which their systolic blood pressure and diastolic blood pressure were measured.
• Blood pressure in the hypertensive range was classified using the 2017 American Academy of Pediatrics Practice Guideline, with thresholds of 130/80 mm Hg or greater.

TAKEAWAY:

• The proportion of adolescent girls with high blood pressure was significantly greater among those with PCOS than among those without the condition (18.2% vs 7.1%; P < .001).
• Adolescent girls with PCOS had a 25% higher risk for hypertension than those without the disorder (adjusted odds ratio [aOR], 1.25; 95% CI, 1.10-1.42).
• Similarly, adolescent girls with obesity and PCOS had a 23% higher risk for high blood pressure than those without PCOS (aOR, 1.23; 95% CI, 1.06-1.42).

IN PRACTICE:

“The high prevalence of [hypertension] associated with PCOS emphasizes the key role of early [blood pressure] monitoring in this high-risk group,” the authors of the study wrote.

SOURCE:

The study was led by Sherry Zhang, MD, Kaiser Permanente Oakland Medical Center, Oakland, California, and was published online in the American Journal of Preventive Medicine.

LIMITATIONS:

The study relied on coded diagnoses of PCOS from clinical settings, which may have led to detection and referral biases. The findings may not be generalizable to an unselected population in which adolescent girls are systematically screened for both PCOS and hypertension.

DISCLOSURES:

This study was funded by the Cardiovascular and Metabolic Conditions Research Section and the Biostatistical Consulting Unit at the Division of Research, Kaiser Permanente Northern California and by the Kaiser Permanente Northern California Community Health Program. The authors declared having no conflicts of interest.

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.

This transcript has been edited for clarity. 

What do we do if we don’t like patients? We take the Hippocratic Oath as young students in Glasgow. We do that just before our graduation ceremony; we hold our hands up and repeat the Hippocratic Oath: “First, do no harm,” and so on.

What happens if we intensely dislike a patient? Is it possible to offer them the very best care? I was thinking back over a long career. I’ve been a cancer doctor for 40 years and I quite like saying that.

I can only think genuinely over a couple of times in which I’ve acted reflexively when a patient has done something awful. The couple of times it happened, it was just terrible racist comments to junior doctors who were with me. Extraordinarily dreadful things such as, “I don’t want to be touched by ...” or something of that sort.

Without really thinking about it, you react as a normal citizen and say, “That’s absolutely awful. Apologize immediately or leave the consultation room, and never ever come back again.” 

I remember that it happened once in Glasgow and once when I was a young professor in Birmingham, and it’s just an automatic gut reaction. The patient got a fright, and I immediately apologized and groveled around. In that relationship, we hold all the power, don’t we? Rather than being gentle about it, I was genuinely angry because of these ridiculous comments. 

Otherwise, I think most of the doctor-patient relationships are predicated on nonromantic love. I think patients want us to love them as one would a son, mother, father, or daughter, because if we do, then we will do better for them and we’ll pull out all the stops. “Placebo” means “I will please.” I think in the vast majority of cases, at least in our National Health Service (NHS), patients come with trust and a sense of wanting to build that relationship. That may be changing, but not for me. 

What about putting the boot on the other foot? What if the patients don’t like us rather than vice versa? As part of our accreditation appraisal process, from time to time we have to take patient surveys as to whether the patients felt that, after they had been seen in a consultation, they were treated with dignity, the quality of information given was appropriate, and they were treated with kindness. 

It’s an excellent exercise. Without bragging about it, patients objectively, according to these measures, appreciate the service that I give. It’s like getting five-star reviews on Trustpilot, or whatever these things are, that allow you to review car salesmen and so on. I have always had five-star reviews across the board. 

That, again, I thought was just a feature of that relationship, of patients wanting to please. These are patients who had been treated, who were in the outpatient department, who were in the midst of battle. Still, the scores are very high. I speak to my colleagues and that’s not uniformly the case. Patients actually do use these feedback forms, I think in a positive rather than negative way, reflecting back on the way that they were treated.

It has caused some of my colleagues to think quite hard about their personal style and approach to patients. That sense of feedback is important. 

What about losing trust? If that’s at the heart of everything that we do, then what would be an objective measure of losing trust? Again, in our healthcare system, it has been exceedingly unusual for a patient to request a second opinion. Now, that’s changing. The government is trying to change it. Leaders of the NHS are trying to change it so that patients feel assured that they can seek second opinions.

Again, in all the years I’ve been a cancer doctor, it has been incredibly infrequent that somebody has sought a second opinion after I’ve said something. That may be a measure of trust. Again, I’ve lived through an NHS in which seeking second opinions was something of a rarity. 

I’d be really interested to see what you think. In your own sphere of healthcare practice, is it possible for us to look after patients that we don’t like, or should we be honest and say, “I don’t like you. Our relationship has broken down. I want you to be seen by a colleague,” or “I want you to be nursed by somebody else”?

Has that happened? Is that something that you think is common or may become more common? What about when trust breaks down the other way? Can you think of instances in which the relationship, for whatever reason, just didn’t work and the patient had to move on because of that loss of trust and what underpinned it? I’d be really interested to know. 

I seek to be informed rather than the other way around. Can we truly look after patients that we don’t like or can we rise above it as Hippocrates might have done? 

Thanks for listening, as always. For the time being, over and out.

Dr. Kerr, Professor, Nuffield Department of Clinical Laboratory Science, University of Oxford; Professor of Cancer Medicine, Oxford Cancer Centre, Oxford, United Kingdom, disclosed ties with Celleron Therapeutics, Oxford Cancer Biomarkers, Afrox, GlaxoSmithKline, Bayer HealthCare Pharmaceuticals, Genomic Health, Merck Serono, and Roche.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity. 

What do we do if we don’t like patients? We take the Hippocratic Oath as young students in Glasgow. We do that just before our graduation ceremony; we hold our hands up and repeat the Hippocratic Oath: “First, do no harm,” and so on.

What happens if we intensely dislike a patient? Is it possible to offer them the very best care? I was thinking back over a long career. I’ve been a cancer doctor for 40 years and I quite like saying that.

I can only think genuinely over a couple of times in which I’ve acted reflexively when a patient has done something awful. The couple of times it happened, it was just terrible racist comments to junior doctors who were with me. Extraordinarily dreadful things such as, “I don’t want to be touched by ...” or something of that sort.

Without really thinking about it, you react as a normal citizen and say, “That’s absolutely awful. Apologize immediately or leave the consultation room, and never ever come back again.” 

I remember that it happened once in Glasgow and once when I was a young professor in Birmingham, and it’s just an automatic gut reaction. The patient got a fright, and I immediately apologized and groveled around. In that relationship, we hold all the power, don’t we? Rather than being gentle about it, I was genuinely angry because of these ridiculous comments. 

Otherwise, I think most of the doctor-patient relationships are predicated on nonromantic love. I think patients want us to love them as one would a son, mother, father, or daughter, because if we do, then we will do better for them and we’ll pull out all the stops. “Placebo” means “I will please.” I think in the vast majority of cases, at least in our National Health Service (NHS), patients come with trust and a sense of wanting to build that relationship. That may be changing, but not for me. 

What about putting the boot on the other foot? What if the patients don’t like us rather than vice versa? As part of our accreditation appraisal process, from time to time we have to take patient surveys as to whether the patients felt that, after they had been seen in a consultation, they were treated with dignity, the quality of information given was appropriate, and they were treated with kindness. 

It’s an excellent exercise. Without bragging about it, patients objectively, according to these measures, appreciate the service that I give. It’s like getting five-star reviews on Trustpilot, or whatever these things are, that allow you to review car salesmen and so on. I have always had five-star reviews across the board. 

That, again, I thought was just a feature of that relationship, of patients wanting to please. These are patients who had been treated, who were in the outpatient department, who were in the midst of battle. Still, the scores are very high. I speak to my colleagues and that’s not uniformly the case. Patients actually do use these feedback forms, I think in a positive rather than negative way, reflecting back on the way that they were treated.

It has caused some of my colleagues to think quite hard about their personal style and approach to patients. That sense of feedback is important. 

What about losing trust? If that’s at the heart of everything that we do, then what would be an objective measure of losing trust? Again, in our healthcare system, it has been exceedingly unusual for a patient to request a second opinion. Now, that’s changing. The government is trying to change it. Leaders of the NHS are trying to change it so that patients feel assured that they can seek second opinions.

Again, in all the years I’ve been a cancer doctor, it has been incredibly infrequent that somebody has sought a second opinion after I’ve said something. That may be a measure of trust. Again, I’ve lived through an NHS in which seeking second opinions was something of a rarity. 

I’d be really interested to see what you think. In your own sphere of healthcare practice, is it possible for us to look after patients that we don’t like, or should we be honest and say, “I don’t like you. Our relationship has broken down. I want you to be seen by a colleague,” or “I want you to be nursed by somebody else”?

Has that happened? Is that something that you think is common or may become more common? What about when trust breaks down the other way? Can you think of instances in which the relationship, for whatever reason, just didn’t work and the patient had to move on because of that loss of trust and what underpinned it? I’d be really interested to know. 

I seek to be informed rather than the other way around. Can we truly look after patients that we don’t like or can we rise above it as Hippocrates might have done? 

Thanks for listening, as always. For the time being, over and out.

Dr. Kerr, Professor, Nuffield Department of Clinical Laboratory Science, University of Oxford; Professor of Cancer Medicine, Oxford Cancer Centre, Oxford, United Kingdom, disclosed ties with Celleron Therapeutics, Oxford Cancer Biomarkers, Afrox, GlaxoSmithKline, Bayer HealthCare Pharmaceuticals, Genomic Health, Merck Serono, and Roche.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity. 

What do we do if we don’t like patients? We take the Hippocratic Oath as young students in Glasgow. We do that just before our graduation ceremony; we hold our hands up and repeat the Hippocratic Oath: “First, do no harm,” and so on.

What happens if we intensely dislike a patient? Is it possible to offer them the very best care? I was thinking back over a long career. I’ve been a cancer doctor for 40 years and I quite like saying that.

I can only think genuinely over a couple of times in which I’ve acted reflexively when a patient has done something awful. The couple of times it happened, it was just terrible racist comments to junior doctors who were with me. Extraordinarily dreadful things such as, “I don’t want to be touched by ...” or something of that sort.

Without really thinking about it, you react as a normal citizen and say, “That’s absolutely awful. Apologize immediately or leave the consultation room, and never ever come back again.” 

I remember that it happened once in Glasgow and once when I was a young professor in Birmingham, and it’s just an automatic gut reaction. The patient got a fright, and I immediately apologized and groveled around. In that relationship, we hold all the power, don’t we? Rather than being gentle about it, I was genuinely angry because of these ridiculous comments. 

Otherwise, I think most of the doctor-patient relationships are predicated on nonromantic love. I think patients want us to love them as one would a son, mother, father, or daughter, because if we do, then we will do better for them and we’ll pull out all the stops. “Placebo” means “I will please.” I think in the vast majority of cases, at least in our National Health Service (NHS), patients come with trust and a sense of wanting to build that relationship. That may be changing, but not for me. 

What about putting the boot on the other foot? What if the patients don’t like us rather than vice versa? As part of our accreditation appraisal process, from time to time we have to take patient surveys as to whether the patients felt that, after they had been seen in a consultation, they were treated with dignity, the quality of information given was appropriate, and they were treated with kindness. 

It’s an excellent exercise. Without bragging about it, patients objectively, according to these measures, appreciate the service that I give. It’s like getting five-star reviews on Trustpilot, or whatever these things are, that allow you to review car salesmen and so on. I have always had five-star reviews across the board. 

That, again, I thought was just a feature of that relationship, of patients wanting to please. These are patients who had been treated, who were in the outpatient department, who were in the midst of battle. Still, the scores are very high. I speak to my colleagues and that’s not uniformly the case. Patients actually do use these feedback forms, I think in a positive rather than negative way, reflecting back on the way that they were treated.

It has caused some of my colleagues to think quite hard about their personal style and approach to patients. That sense of feedback is important. 

What about losing trust? If that’s at the heart of everything that we do, then what would be an objective measure of losing trust? Again, in our healthcare system, it has been exceedingly unusual for a patient to request a second opinion. Now, that’s changing. The government is trying to change it. Leaders of the NHS are trying to change it so that patients feel assured that they can seek second opinions.

Again, in all the years I’ve been a cancer doctor, it has been incredibly infrequent that somebody has sought a second opinion after I’ve said something. That may be a measure of trust. Again, I’ve lived through an NHS in which seeking second opinions was something of a rarity. 

I’d be really interested to see what you think. In your own sphere of healthcare practice, is it possible for us to look after patients that we don’t like, or should we be honest and say, “I don’t like you. Our relationship has broken down. I want you to be seen by a colleague,” or “I want you to be nursed by somebody else”?

Has that happened? Is that something that you think is common or may become more common? What about when trust breaks down the other way? Can you think of instances in which the relationship, for whatever reason, just didn’t work and the patient had to move on because of that loss of trust and what underpinned it? I’d be really interested to know. 

I seek to be informed rather than the other way around. Can we truly look after patients that we don’t like or can we rise above it as Hippocrates might have done? 

Thanks for listening, as always. For the time being, over and out.

Dr. Kerr, Professor, Nuffield Department of Clinical Laboratory Science, University of Oxford; Professor of Cancer Medicine, Oxford Cancer Centre, Oxford, United Kingdom, disclosed ties with Celleron Therapeutics, Oxford Cancer Biomarkers, Afrox, GlaxoSmithKline, Bayer HealthCare Pharmaceuticals, Genomic Health, Merck Serono, and Roche.

A version of this article appeared on Medscape.com.

A new study provides more evidence that glucagon-like peptide 1 receptor agonists (GLP-1 RAs) used to treat diabetes and obesity could be repurposed for opioid use disorder (OUD) and alcohol use disorder (AUD).

Researchers found that patients with OUD or AUD who were taking semaglutide (Ozempic, Novo Nordisk) or similar medications for diabetes or weight-related conditions had a 40% lower rate of opioid overdose and a 50% lower rate of alcohol intoxication than their peers with OUD or AUD who were not taking these medications.

Their real-world study of more than 1 million adults with a history of OUD or AUD provide “foundational” estimates of the association between glucose-dependent insulinotropic polypeptide (GIP)/GLP-1 RA prescriptions and opioid overdose/alcohol intoxication “and introduce the idea that GLP-1 RA and other related drugs should be investigated as a novel pharmacotherapy treatment option for individuals with OUD or AUD,” wrote the investigators, led by Fares Qeadan, PhD, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois.

The study was published online in the journal Addiction.
 

Protective Effect?

As previously reported by Medscape Medical News, earlier studies have pointed to a link between weight loss drugs and reduced overdose risk in people with OUD and decreased alcohol intake in people with AUD.

Until now, most studies on GLP-1 RAs and GIP agonists like tirzepatide (Mounjaro) to treat substance use disorders consisted of animal studies and small-scale clinical trials, investigators noted.

This new retrospective cohort study analyzed de-identified electronic health record data from the Oracle Health Real-World Data.

Participants, all aged 18 years or older, included 503,747 patients with a history of OUD, of whom 8103 had a GLP-1 RA or GIP prescription, and 817,309 patients with a history of AUD, of whom 5621 had a GLP-1 RA or GIP prescription.

Patients with OUD who were prescribed GLP-1 RAs had a 40% lower rate of opioid overdose than those without such prescriptions (adjusted incidence rate ratio [aIRR], 0.60; 95% CI, 0.43-0.83), the study team found.

In addition, patients with AUD and a GLP-1 RA prescription exhibited a 50% lower rate of alcohol intoxication (aIRR, 0.50; 95% CI, 0.40-0.63).

The protective effect of GLP-1 RA on opioid overdose and alcohol intoxication was maintained across patients with comorbid conditions, such as type 2 diabetes and obesity.

“Future research should focus on prospective clinical trials to validate these findings, explore the underlying mechanisms, and determine the long-term efficacy and safety of GIP/GLP-1 RA medications in diverse populations,” Qeadan and colleagues concluded.

“Additionally, the study highlights the importance of interdisciplinary research in understanding the neurobiological links between metabolic disorders and problematic substance use, potentially leading to more effective treatment strategies within healthcare systems,” they added.
 

Questions Remain

In a statement from the UK nonprofit Science Media Centre, Matt Field, DPhil, professor of psychology, The University of Sheffield, in England, noted that the findings “add to those from other studies, particularly animal research, which suggest that this and similar drugs might one day be prescribed to help people with addiction.”

However, “a note of caution is that the outcomes are very extreme instances of substance intoxication,” added Field, who wasn’t involved in the study.

“Those outcomes are very different from the outcomes used when researchers test new treatments for addiction, in which case we might look at whether the treatment helps people to stop taking the substance altogether (complete abstinence), or if it helps people to reduce the amount of substance they consume, or how often they consume it. Those things could not be measured in this study,” he continued.

“This leaves open the possibility that while Ozempic may — for reasons currently unknown — prevent people from taking so much alcohol or heroin that they overdose and end up in hospital, it may not actually help them to reduce their substance use, or to abstain altogether,” Field said.

The study had no specific funding. The study authors and Field declared no relevant conflicts of interest.
 

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

A new study provides more evidence that glucagon-like peptide 1 receptor agonists (GLP-1 RAs) used to treat diabetes and obesity could be repurposed for opioid use disorder (OUD) and alcohol use disorder (AUD).

Researchers found that patients with OUD or AUD who were taking semaglutide (Ozempic, Novo Nordisk) or similar medications for diabetes or weight-related conditions had a 40% lower rate of opioid overdose and a 50% lower rate of alcohol intoxication than their peers with OUD or AUD who were not taking these medications.

Their real-world study of more than 1 million adults with a history of OUD or AUD provide “foundational” estimates of the association between glucose-dependent insulinotropic polypeptide (GIP)/GLP-1 RA prescriptions and opioid overdose/alcohol intoxication “and introduce the idea that GLP-1 RA and other related drugs should be investigated as a novel pharmacotherapy treatment option for individuals with OUD or AUD,” wrote the investigators, led by Fares Qeadan, PhD, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois.

The study was published online in the journal Addiction.
 

Protective Effect?

As previously reported by Medscape Medical News, earlier studies have pointed to a link between weight loss drugs and reduced overdose risk in people with OUD and decreased alcohol intake in people with AUD.

Until now, most studies on GLP-1 RAs and GIP agonists like tirzepatide (Mounjaro) to treat substance use disorders consisted of animal studies and small-scale clinical trials, investigators noted.

This new retrospective cohort study analyzed de-identified electronic health record data from the Oracle Health Real-World Data.

Participants, all aged 18 years or older, included 503,747 patients with a history of OUD, of whom 8103 had a GLP-1 RA or GIP prescription, and 817,309 patients with a history of AUD, of whom 5621 had a GLP-1 RA or GIP prescription.

Patients with OUD who were prescribed GLP-1 RAs had a 40% lower rate of opioid overdose than those without such prescriptions (adjusted incidence rate ratio [aIRR], 0.60; 95% CI, 0.43-0.83), the study team found.

In addition, patients with AUD and a GLP-1 RA prescription exhibited a 50% lower rate of alcohol intoxication (aIRR, 0.50; 95% CI, 0.40-0.63).

The protective effect of GLP-1 RA on opioid overdose and alcohol intoxication was maintained across patients with comorbid conditions, such as type 2 diabetes and obesity.

“Future research should focus on prospective clinical trials to validate these findings, explore the underlying mechanisms, and determine the long-term efficacy and safety of GIP/GLP-1 RA medications in diverse populations,” Qeadan and colleagues concluded.

“Additionally, the study highlights the importance of interdisciplinary research in understanding the neurobiological links between metabolic disorders and problematic substance use, potentially leading to more effective treatment strategies within healthcare systems,” they added.
 

Questions Remain

In a statement from the UK nonprofit Science Media Centre, Matt Field, DPhil, professor of psychology, The University of Sheffield, in England, noted that the findings “add to those from other studies, particularly animal research, which suggest that this and similar drugs might one day be prescribed to help people with addiction.”

However, “a note of caution is that the outcomes are very extreme instances of substance intoxication,” added Field, who wasn’t involved in the study.

“Those outcomes are very different from the outcomes used when researchers test new treatments for addiction, in which case we might look at whether the treatment helps people to stop taking the substance altogether (complete abstinence), or if it helps people to reduce the amount of substance they consume, or how often they consume it. Those things could not be measured in this study,” he continued.

“This leaves open the possibility that while Ozempic may — for reasons currently unknown — prevent people from taking so much alcohol or heroin that they overdose and end up in hospital, it may not actually help them to reduce their substance use, or to abstain altogether,” Field said.

The study had no specific funding. The study authors and Field declared no relevant conflicts of interest.
 

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

A new study provides more evidence that glucagon-like peptide 1 receptor agonists (GLP-1 RAs) used to treat diabetes and obesity could be repurposed for opioid use disorder (OUD) and alcohol use disorder (AUD).

Researchers found that patients with OUD or AUD who were taking semaglutide (Ozempic, Novo Nordisk) or similar medications for diabetes or weight-related conditions had a 40% lower rate of opioid overdose and a 50% lower rate of alcohol intoxication than their peers with OUD or AUD who were not taking these medications.

Their real-world study of more than 1 million adults with a history of OUD or AUD provide “foundational” estimates of the association between glucose-dependent insulinotropic polypeptide (GIP)/GLP-1 RA prescriptions and opioid overdose/alcohol intoxication “and introduce the idea that GLP-1 RA and other related drugs should be investigated as a novel pharmacotherapy treatment option for individuals with OUD or AUD,” wrote the investigators, led by Fares Qeadan, PhD, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois.

The study was published online in the journal Addiction.
 

Protective Effect?

As previously reported by Medscape Medical News, earlier studies have pointed to a link between weight loss drugs and reduced overdose risk in people with OUD and decreased alcohol intake in people with AUD.

Until now, most studies on GLP-1 RAs and GIP agonists like tirzepatide (Mounjaro) to treat substance use disorders consisted of animal studies and small-scale clinical trials, investigators noted.

This new retrospective cohort study analyzed de-identified electronic health record data from the Oracle Health Real-World Data.

Participants, all aged 18 years or older, included 503,747 patients with a history of OUD, of whom 8103 had a GLP-1 RA or GIP prescription, and 817,309 patients with a history of AUD, of whom 5621 had a GLP-1 RA or GIP prescription.

Patients with OUD who were prescribed GLP-1 RAs had a 40% lower rate of opioid overdose than those without such prescriptions (adjusted incidence rate ratio [aIRR], 0.60; 95% CI, 0.43-0.83), the study team found.

In addition, patients with AUD and a GLP-1 RA prescription exhibited a 50% lower rate of alcohol intoxication (aIRR, 0.50; 95% CI, 0.40-0.63).

The protective effect of GLP-1 RA on opioid overdose and alcohol intoxication was maintained across patients with comorbid conditions, such as type 2 diabetes and obesity.

“Future research should focus on prospective clinical trials to validate these findings, explore the underlying mechanisms, and determine the long-term efficacy and safety of GIP/GLP-1 RA medications in diverse populations,” Qeadan and colleagues concluded.

“Additionally, the study highlights the importance of interdisciplinary research in understanding the neurobiological links between metabolic disorders and problematic substance use, potentially leading to more effective treatment strategies within healthcare systems,” they added.
 

Questions Remain

In a statement from the UK nonprofit Science Media Centre, Matt Field, DPhil, professor of psychology, The University of Sheffield, in England, noted that the findings “add to those from other studies, particularly animal research, which suggest that this and similar drugs might one day be prescribed to help people with addiction.”

However, “a note of caution is that the outcomes are very extreme instances of substance intoxication,” added Field, who wasn’t involved in the study.

“Those outcomes are very different from the outcomes used when researchers test new treatments for addiction, in which case we might look at whether the treatment helps people to stop taking the substance altogether (complete abstinence), or if it helps people to reduce the amount of substance they consume, or how often they consume it. Those things could not be measured in this study,” he continued.

“This leaves open the possibility that while Ozempic may — for reasons currently unknown — prevent people from taking so much alcohol or heroin that they overdose and end up in hospital, it may not actually help them to reduce their substance use, or to abstain altogether,” Field said.

The study had no specific funding. The study authors and Field declared no relevant conflicts of interest.
 

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

TOPLINE:

In healthy young adults, a single 30-minute bout of outdoor aerobic exercise significantly reduces fasting and 1-hour glucose levels during an oral glucose tolerance test (OGTT) the next day and improves insulin sensitivity.

METHODOLOGY:

• Recent studies have identified 1-hour post-load glucose concentration during an OGTT as a specific and early predictor of diabetes, and exercise has long been known for its metabolic benefits in people with and without diabetes.
• The researchers investigated the effect of a single bout of aerobic exercise on 1-hour post-load glucose levels during an OGTT in 32 young, healthy, normal-weight or marginally overweight individuals (mean age, 35 years; 14 women and 18 men) with a sedentary or moderately active lifestyle.
• The participants underwent an initial OGTT after at least 4 days of physical inactivity, followed by a second OGTT the day after a single 30-minute bout of aerobic exercise.
• The exercise session consisted of a light jog for 30 minutes, monitored using a metabolic holter to quantify energy expenditure and exercise intensity. The participants did not undertake any exercise outside the lab sessions.
• Blood glucose levels were measured, and insulin sensitivity and secretion were estimated using surrogate indices derived from OGTT glucose and insulin assays, including the Matsuda index, oral glucose insulin sensitivity (OGIS) index, and quantitative insulin sensitivity check index, as well as the homeostasis model assessment (HOMA) of insulin resistance and of beta-cell function (HOMA-B).

TAKEAWAY:

•  
• Postexercise insulin levels also were significantly lower 1 hour after glucose load, decreasing from 57.4 IU/mL at baseline to 43.5 IU/mL the day after exercise (P = .01).
• Insulin sensitivity improved significantly after exercise, as indicated by increases in the Matsuda index (P = .02) and OGIS index (P = .04), along with a reduction in insulin resistance (P = .04).
• The study found a trend toward increased beta-cell function the day after an exercise bout, as indicated by a nonsignificant increase in HOMA-B from 144.7 at baseline to 167.1 after exercise.

IN PRACTICE:

“Improvement in 1-hour post-load plasma glucose following a single session of aerobic physical activity suggests that exercise could have a direct effect on T2D [type 2 diabetes] risk and cardiovascular risk,” the authors wrote.

SOURCE:

The study was led by Simona Moffa, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, and Gian Pio Sorice, Università Degli Studi di Bari “Aldo Moro,” Bari, Italy. It was published online in the Journal of Endocrinological Investigation.

LIMITATIONS:

The study had a limited sample size, which may affect the generalizability of the findings. C-peptide levels, which could have provided additional insights into insulin secretion, were not assessed in the study.

DISCLOSURES:

The study was supported by grants from Università Cattolica del Sacro Cuore. The authors declared no conflicts of interest.
 

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:

In healthy young adults, a single 30-minute bout of outdoor aerobic exercise significantly reduces fasting and 1-hour glucose levels during an oral glucose tolerance test (OGTT) the next day and improves insulin sensitivity.

METHODOLOGY:

• Recent studies have identified 1-hour post-load glucose concentration during an OGTT as a specific and early predictor of diabetes, and exercise has long been known for its metabolic benefits in people with and without diabetes.
• The researchers investigated the effect of a single bout of aerobic exercise on 1-hour post-load glucose levels during an OGTT in 32 young, healthy, normal-weight or marginally overweight individuals (mean age, 35 years; 14 women and 18 men) with a sedentary or moderately active lifestyle.
• The participants underwent an initial OGTT after at least 4 days of physical inactivity, followed by a second OGTT the day after a single 30-minute bout of aerobic exercise.
• The exercise session consisted of a light jog for 30 minutes, monitored using a metabolic holter to quantify energy expenditure and exercise intensity. The participants did not undertake any exercise outside the lab sessions.
• Blood glucose levels were measured, and insulin sensitivity and secretion were estimated using surrogate indices derived from OGTT glucose and insulin assays, including the Matsuda index, oral glucose insulin sensitivity (OGIS) index, and quantitative insulin sensitivity check index, as well as the homeostasis model assessment (HOMA) of insulin resistance and of beta-cell function (HOMA-B).

TAKEAWAY:

•  
• Postexercise insulin levels also were significantly lower 1 hour after glucose load, decreasing from 57.4 IU/mL at baseline to 43.5 IU/mL the day after exercise (P = .01).
• Insulin sensitivity improved significantly after exercise, as indicated by increases in the Matsuda index (P = .02) and OGIS index (P = .04), along with a reduction in insulin resistance (P = .04).
• The study found a trend toward increased beta-cell function the day after an exercise bout, as indicated by a nonsignificant increase in HOMA-B from 144.7 at baseline to 167.1 after exercise.

IN PRACTICE:

“Improvement in 1-hour post-load plasma glucose following a single session of aerobic physical activity suggests that exercise could have a direct effect on T2D [type 2 diabetes] risk and cardiovascular risk,” the authors wrote.

SOURCE:

The study was led by Simona Moffa, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, and Gian Pio Sorice, Università Degli Studi di Bari “Aldo Moro,” Bari, Italy. It was published online in the Journal of Endocrinological Investigation.

LIMITATIONS:

The study had a limited sample size, which may affect the generalizability of the findings. C-peptide levels, which could have provided additional insights into insulin secretion, were not assessed in the study.

DISCLOSURES:

The study was supported by grants from Università Cattolica del Sacro Cuore. The authors declared no conflicts of interest.
 

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:

In healthy young adults, a single 30-minute bout of outdoor aerobic exercise significantly reduces fasting and 1-hour glucose levels during an oral glucose tolerance test (OGTT) the next day and improves insulin sensitivity.

METHODOLOGY:

• Recent studies have identified 1-hour post-load glucose concentration during an OGTT as a specific and early predictor of diabetes, and exercise has long been known for its metabolic benefits in people with and without diabetes.
• The researchers investigated the effect of a single bout of aerobic exercise on 1-hour post-load glucose levels during an OGTT in 32 young, healthy, normal-weight or marginally overweight individuals (mean age, 35 years; 14 women and 18 men) with a sedentary or moderately active lifestyle.
• The participants underwent an initial OGTT after at least 4 days of physical inactivity, followed by a second OGTT the day after a single 30-minute bout of aerobic exercise.
• The exercise session consisted of a light jog for 30 minutes, monitored using a metabolic holter to quantify energy expenditure and exercise intensity. The participants did not undertake any exercise outside the lab sessions.
• Blood glucose levels were measured, and insulin sensitivity and secretion were estimated using surrogate indices derived from OGTT glucose and insulin assays, including the Matsuda index, oral glucose insulin sensitivity (OGIS) index, and quantitative insulin sensitivity check index, as well as the homeostasis model assessment (HOMA) of insulin resistance and of beta-cell function (HOMA-B).

TAKEAWAY:

•  
• Postexercise insulin levels also were significantly lower 1 hour after glucose load, decreasing from 57.4 IU/mL at baseline to 43.5 IU/mL the day after exercise (P = .01).
• Insulin sensitivity improved significantly after exercise, as indicated by increases in the Matsuda index (P = .02) and OGIS index (P = .04), along with a reduction in insulin resistance (P = .04).
• The study found a trend toward increased beta-cell function the day after an exercise bout, as indicated by a nonsignificant increase in HOMA-B from 144.7 at baseline to 167.1 after exercise.

IN PRACTICE:

“Improvement in 1-hour post-load plasma glucose following a single session of aerobic physical activity suggests that exercise could have a direct effect on T2D [type 2 diabetes] risk and cardiovascular risk,” the authors wrote.

SOURCE:

The study was led by Simona Moffa, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, and Gian Pio Sorice, Università Degli Studi di Bari “Aldo Moro,” Bari, Italy. It was published online in the Journal of Endocrinological Investigation.

LIMITATIONS:

The study had a limited sample size, which may affect the generalizability of the findings. C-peptide levels, which could have provided additional insights into insulin secretion, were not assessed in the study.

DISCLOSURES:

The study was supported by grants from Università Cattolica del Sacro Cuore. The authors declared no conflicts of interest.
 

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 who achieved an A1c level < 6.5% after metabolic bariatric surgery (MBS) maintained this target in the short and long terms, regardless of whether they continued or discontinued metformin after the procedure.

METHODOLOGY:

• MBS is effective in individuals with type 2 diabetes (T2D) and obesity, but the recommendations for managing patients who achieve diabetes remission after bariatric surgery are not clear.
• Researchers conducted a retrospective cohort study using electronic health records from Clalit Health Services in Israel to assess the association between metformin continuation after MBS and the short- and long-term relapse of diabetes (2 and 5 years after surgery, respectively).
• They included 366 patients (aged ≥ 24 years; body mass index [BMI], ≥ 30) with obesity and T2D who received metformin and achieved A1c levels < 6.5% for up to 6 months after MBS.
• Patients who continued metformin (n = 122; ≥ 3 filled prescriptions; mean follow-up, 5.3 years) were matched and compared with those who discontinued it (n = 244; 0 prescriptions; mean follow-up, 5.8 years) after MBS.
• The primary outcome was the long-term relapse of diabetes, defined by an A1c level ≥ 6.5% during the follow-up period, and the secondary outcomes were short- and long-term A1c levels, changes in BMI, and all-cause mortality.

TAKEAWAY:

• After adjustment for patient variables, no significant association was found between metformin continuation after MBS and risk for relapse of diabetes (adjusted hazard ratio, 1.65).
• Patients in both groups maintained mean A1c levels < 6.5% during the short- and long-term follow-up periods, showing that discontinuing metformin did not impede glycemic control.
• No significant differences were noted between patients who continued or discontinued metformin in terms of weight loss.
• The mortality rate was low in both the groups, with no substantial difference noted between the groups that continued metformin (4.1%) or discontinued metformin (2.5%).

IN PRACTICE:

“The lack of a significant association of metformin continuation with A1c level observed in the current study supports the notion that metformin may not have an additional benefit after MBS,” the authors wrote.

SOURCE:

This study was led by Dror Dicker, MD, Internal Medicine Department D and Obesity Clinic, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel, and published online in Diabetes, Obesity and Metabolism.

LIMITATIONS: 

The observational nature of the study and the lack of randomization may have introduced residual confounding. The small number of patients remaining in the final study population limited the generalizability of the findings. The follow-up period of approximately 5 years may not have been sufficient to observe the long-term effects of metformin continuation.

DISCLOSURES:

The study received funding from Ariel University. Two authors disclosed receiving grants, personal fees, or nonfinancial support from various sources unrelated to this study.

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:

Patients who achieved an A1c level < 6.5% after metabolic bariatric surgery (MBS) maintained this target in the short and long terms, regardless of whether they continued or discontinued metformin after the procedure.

METHODOLOGY:

• MBS is effective in individuals with type 2 diabetes (T2D) and obesity, but the recommendations for managing patients who achieve diabetes remission after bariatric surgery are not clear.
• Researchers conducted a retrospective cohort study using electronic health records from Clalit Health Services in Israel to assess the association between metformin continuation after MBS and the short- and long-term relapse of diabetes (2 and 5 years after surgery, respectively).
• They included 366 patients (aged ≥ 24 years; body mass index [BMI], ≥ 30) with obesity and T2D who received metformin and achieved A1c levels < 6.5% for up to 6 months after MBS.
• Patients who continued metformin (n = 122; ≥ 3 filled prescriptions; mean follow-up, 5.3 years) were matched and compared with those who discontinued it (n = 244; 0 prescriptions; mean follow-up, 5.8 years) after MBS.
• The primary outcome was the long-term relapse of diabetes, defined by an A1c level ≥ 6.5% during the follow-up period, and the secondary outcomes were short- and long-term A1c levels, changes in BMI, and all-cause mortality.

TAKEAWAY:

• After adjustment for patient variables, no significant association was found between metformin continuation after MBS and risk for relapse of diabetes (adjusted hazard ratio, 1.65).
• Patients in both groups maintained mean A1c levels < 6.5% during the short- and long-term follow-up periods, showing that discontinuing metformin did not impede glycemic control.
• No significant differences were noted between patients who continued or discontinued metformin in terms of weight loss.
• The mortality rate was low in both the groups, with no substantial difference noted between the groups that continued metformin (4.1%) or discontinued metformin (2.5%).

IN PRACTICE:

“The lack of a significant association of metformin continuation with A1c level observed in the current study supports the notion that metformin may not have an additional benefit after MBS,” the authors wrote.

SOURCE:

This study was led by Dror Dicker, MD, Internal Medicine Department D and Obesity Clinic, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel, and published online in Diabetes, Obesity and Metabolism.

LIMITATIONS: 

The observational nature of the study and the lack of randomization may have introduced residual confounding. The small number of patients remaining in the final study population limited the generalizability of the findings. The follow-up period of approximately 5 years may not have been sufficient to observe the long-term effects of metformin continuation.

DISCLOSURES:

The study received funding from Ariel University. Two authors disclosed receiving grants, personal fees, or nonfinancial support from various sources unrelated to this study.

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:

Patients who achieved an A1c level < 6.5% after metabolic bariatric surgery (MBS) maintained this target in the short and long terms, regardless of whether they continued or discontinued metformin after the procedure.

METHODOLOGY:

• MBS is effective in individuals with type 2 diabetes (T2D) and obesity, but the recommendations for managing patients who achieve diabetes remission after bariatric surgery are not clear.
• Researchers conducted a retrospective cohort study using electronic health records from Clalit Health Services in Israel to assess the association between metformin continuation after MBS and the short- and long-term relapse of diabetes (2 and 5 years after surgery, respectively).
• They included 366 patients (aged ≥ 24 years; body mass index [BMI], ≥ 30) with obesity and T2D who received metformin and achieved A1c levels < 6.5% for up to 6 months after MBS.
• Patients who continued metformin (n = 122; ≥ 3 filled prescriptions; mean follow-up, 5.3 years) were matched and compared with those who discontinued it (n = 244; 0 prescriptions; mean follow-up, 5.8 years) after MBS.
• The primary outcome was the long-term relapse of diabetes, defined by an A1c level ≥ 6.5% during the follow-up period, and the secondary outcomes were short- and long-term A1c levels, changes in BMI, and all-cause mortality.

TAKEAWAY:

• After adjustment for patient variables, no significant association was found between metformin continuation after MBS and risk for relapse of diabetes (adjusted hazard ratio, 1.65).
• Patients in both groups maintained mean A1c levels < 6.5% during the short- and long-term follow-up periods, showing that discontinuing metformin did not impede glycemic control.
• No significant differences were noted between patients who continued or discontinued metformin in terms of weight loss.
• The mortality rate was low in both the groups, with no substantial difference noted between the groups that continued metformin (4.1%) or discontinued metformin (2.5%).

IN PRACTICE:

“The lack of a significant association of metformin continuation with A1c level observed in the current study supports the notion that metformin may not have an additional benefit after MBS,” the authors wrote.

SOURCE:

This study was led by Dror Dicker, MD, Internal Medicine Department D and Obesity Clinic, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel, and published online in Diabetes, Obesity and Metabolism.

LIMITATIONS: 

The observational nature of the study and the lack of randomization may have introduced residual confounding. The small number of patients remaining in the final study population limited the generalizability of the findings. The follow-up period of approximately 5 years may not have been sufficient to observe the long-term effects of metformin continuation.

DISCLOSURES:

The study received funding from Ariel University. Two authors disclosed receiving grants, personal fees, or nonfinancial support from various sources unrelated to this study.

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:

The Fracture Risk Assessment Tool (FRAX), with bone mineral density, predicts the risk for major osteoporotic fractures and hip fractures in patients with cancer, but FRAX without bone mineral density slightly overestimates these risks, a new analysis found.

METHODOLOGY:

• Cancer-specific guidelines recommend using FRAX to assess fracture risk, but its applicability in patients with cancer remains unclear.
• This retrospective cohort study included 9877 patients with cancer (mean age, 67.1 years) and 45,875 matched control individuals without cancer (mean age, 66.2 years). All participants had dual-energy x-ray absorptiometry (DXA) scans.
• Researchers collected data on bone mineral density and fractures. The 10-year probabilities of major osteoporotic fractures and hip fractures were calculated using FRAX, and the observed 10-year probabilities of these fractures were compared with FRAX-derived probabilities.
• Compared with individuals without cancer, patients with cancer had a shorter mean follow-up duration (8.5 vs 7.6 years), a slightly higher mean body mass index, and a higher percentage of parental hip fractures (7.0% vs 8.2%); additionally, patients with cancer were more likely to have secondary causes of osteoporosis (10% vs 38.4%) and less likely to receive osteoporosis medication (9.9% vs 4.2%).

TAKEAWAY:

• Compared with individuals without cancer, patients with cancer had a significantly higher incidence rate of major fractures (12.9 vs 14.5 per 1000 person-years) and hip fractures (3.5 vs 4.2 per 1000 person-years).
• FRAX with bone mineral density exhibited excellent calibration for predicting major osteoporotic fractures (slope, 1.03) and hip fractures (0.97) in patients with cancer, regardless of the site of cancer diagnosis. FRAX without bone mineral density, however, underestimated the risk for both major (0.87) and hip fractures (0.72).
• In patients with cancer, FRAX with bone mineral density findings were associated with incident major osteoporotic fractures (hazard ratio [HR] per SD, 1.84) and hip fractures (HR per SD, 3.61).
• When models were adjusted for FRAX with bone mineral density, patients with cancer had an increased risk for both major osteoporotic fractures (HR, 1.17) and hip fractures (HR, 1.30). No difference was found in the risk for fracture between patients with and individuals without cancer when the models were adjusted for FRAX without bone mineral density, even when considering osteoporosis medication use.

IN PRACTICE:

“This retrospective cohort study demonstrates that individuals with cancer are at higher risk of fracture than individuals without cancer and that FRAX, particularly with BMD [bone mineral density], may accurately predict fracture risk in this population. These results, along with the known mortality risk of osteoporotic fractures among cancer survivors, further emphasize the clinical importance of closing the current osteoporosis care gap among cancer survivors,” the authors wrote.

SOURCE:

This study, led by Carrie Ye, MD, MPH, University of Alberta, Edmonton, Alberta, Canada, was published online in JAMA Oncology.

LIMITATIONS:

This study cohort included a selected group of cancer survivors who were referred for DXA scans and may not represent the general cancer population. The cohort consisted predominantly of women, limiting the generalizability to men with cancer. Given the heterogeneity of the population, the findings may not be applicable to all cancer subgroups. Information on cancer stage or the presence of bone metastases at the time of fracture risk assessment was lacking, which could have affected the findings.

DISCLOSURES:

This study was funded by the CancerCare Manitoba Foundation. Three authors reported having ties with various sources, including two who received grants from various organizations.
 

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:

The Fracture Risk Assessment Tool (FRAX), with bone mineral density, predicts the risk for major osteoporotic fractures and hip fractures in patients with cancer, but FRAX without bone mineral density slightly overestimates these risks, a new analysis found.

METHODOLOGY:

• Cancer-specific guidelines recommend using FRAX to assess fracture risk, but its applicability in patients with cancer remains unclear.
• This retrospective cohort study included 9877 patients with cancer (mean age, 67.1 years) and 45,875 matched control individuals without cancer (mean age, 66.2 years). All participants had dual-energy x-ray absorptiometry (DXA) scans.
• Researchers collected data on bone mineral density and fractures. The 10-year probabilities of major osteoporotic fractures and hip fractures were calculated using FRAX, and the observed 10-year probabilities of these fractures were compared with FRAX-derived probabilities.
• Compared with individuals without cancer, patients with cancer had a shorter mean follow-up duration (8.5 vs 7.6 years), a slightly higher mean body mass index, and a higher percentage of parental hip fractures (7.0% vs 8.2%); additionally, patients with cancer were more likely to have secondary causes of osteoporosis (10% vs 38.4%) and less likely to receive osteoporosis medication (9.9% vs 4.2%).

TAKEAWAY:

• Compared with individuals without cancer, patients with cancer had a significantly higher incidence rate of major fractures (12.9 vs 14.5 per 1000 person-years) and hip fractures (3.5 vs 4.2 per 1000 person-years).
• FRAX with bone mineral density exhibited excellent calibration for predicting major osteoporotic fractures (slope, 1.03) and hip fractures (0.97) in patients with cancer, regardless of the site of cancer diagnosis. FRAX without bone mineral density, however, underestimated the risk for both major (0.87) and hip fractures (0.72).
• In patients with cancer, FRAX with bone mineral density findings were associated with incident major osteoporotic fractures (hazard ratio [HR] per SD, 1.84) and hip fractures (HR per SD, 3.61).
• When models were adjusted for FRAX with bone mineral density, patients with cancer had an increased risk for both major osteoporotic fractures (HR, 1.17) and hip fractures (HR, 1.30). No difference was found in the risk for fracture between patients with and individuals without cancer when the models were adjusted for FRAX without bone mineral density, even when considering osteoporosis medication use.

IN PRACTICE:

“This retrospective cohort study demonstrates that individuals with cancer are at higher risk of fracture than individuals without cancer and that FRAX, particularly with BMD [bone mineral density], may accurately predict fracture risk in this population. These results, along with the known mortality risk of osteoporotic fractures among cancer survivors, further emphasize the clinical importance of closing the current osteoporosis care gap among cancer survivors,” the authors wrote.

SOURCE:

This study, led by Carrie Ye, MD, MPH, University of Alberta, Edmonton, Alberta, Canada, was published online in JAMA Oncology.

LIMITATIONS:

This study cohort included a selected group of cancer survivors who were referred for DXA scans and may not represent the general cancer population. The cohort consisted predominantly of women, limiting the generalizability to men with cancer. Given the heterogeneity of the population, the findings may not be applicable to all cancer subgroups. Information on cancer stage or the presence of bone metastases at the time of fracture risk assessment was lacking, which could have affected the findings.

DISCLOSURES:

This study was funded by the CancerCare Manitoba Foundation. Three authors reported having ties with various sources, including two who received grants from various organizations.
 

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:

The Fracture Risk Assessment Tool (FRAX), with bone mineral density, predicts the risk for major osteoporotic fractures and hip fractures in patients with cancer, but FRAX without bone mineral density slightly overestimates these risks, a new analysis found.

METHODOLOGY:

• Cancer-specific guidelines recommend using FRAX to assess fracture risk, but its applicability in patients with cancer remains unclear.
• This retrospective cohort study included 9877 patients with cancer (mean age, 67.1 years) and 45,875 matched control individuals without cancer (mean age, 66.2 years). All participants had dual-energy x-ray absorptiometry (DXA) scans.
• Researchers collected data on bone mineral density and fractures. The 10-year probabilities of major osteoporotic fractures and hip fractures were calculated using FRAX, and the observed 10-year probabilities of these fractures were compared with FRAX-derived probabilities.
• Compared with individuals without cancer, patients with cancer had a shorter mean follow-up duration (8.5 vs 7.6 years), a slightly higher mean body mass index, and a higher percentage of parental hip fractures (7.0% vs 8.2%); additionally, patients with cancer were more likely to have secondary causes of osteoporosis (10% vs 38.4%) and less likely to receive osteoporosis medication (9.9% vs 4.2%).

TAKEAWAY:

• Compared with individuals without cancer, patients with cancer had a significantly higher incidence rate of major fractures (12.9 vs 14.5 per 1000 person-years) and hip fractures (3.5 vs 4.2 per 1000 person-years).
• FRAX with bone mineral density exhibited excellent calibration for predicting major osteoporotic fractures (slope, 1.03) and hip fractures (0.97) in patients with cancer, regardless of the site of cancer diagnosis. FRAX without bone mineral density, however, underestimated the risk for both major (0.87) and hip fractures (0.72).
• In patients with cancer, FRAX with bone mineral density findings were associated with incident major osteoporotic fractures (hazard ratio [HR] per SD, 1.84) and hip fractures (HR per SD, 3.61).
• When models were adjusted for FRAX with bone mineral density, patients with cancer had an increased risk for both major osteoporotic fractures (HR, 1.17) and hip fractures (HR, 1.30). No difference was found in the risk for fracture between patients with and individuals without cancer when the models were adjusted for FRAX without bone mineral density, even when considering osteoporosis medication use.

IN PRACTICE:

“This retrospective cohort study demonstrates that individuals with cancer are at higher risk of fracture than individuals without cancer and that FRAX, particularly with BMD [bone mineral density], may accurately predict fracture risk in this population. These results, along with the known mortality risk of osteoporotic fractures among cancer survivors, further emphasize the clinical importance of closing the current osteoporosis care gap among cancer survivors,” the authors wrote.

SOURCE:

This study, led by Carrie Ye, MD, MPH, University of Alberta, Edmonton, Alberta, Canada, was published online in JAMA Oncology.

LIMITATIONS:

This study cohort included a selected group of cancer survivors who were referred for DXA scans and may not represent the general cancer population. The cohort consisted predominantly of women, limiting the generalizability to men with cancer. Given the heterogeneity of the population, the findings may not be applicable to all cancer subgroups. Information on cancer stage or the presence of bone metastases at the time of fracture risk assessment was lacking, which could have affected the findings.

DISCLOSURES:

This study was funded by the CancerCare Manitoba Foundation. Three authors reported having ties with various sources, including two who received grants from various organizations.
 

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.

Katie Sullivan, DNP, FNP-C, is publicizing her own challenge with updating an insulin pump as part of an effort to bring an end to the biannual seasonal clock changes in the United States.

On March 10, 2024, Sullivan, who works in the Endocrinology Clinic, Michigan State University, East Lansing, Michigan, mistakenly reversed the AM and PM settings while adjusting her own insulin pump. Sullivan, who has type 1 diabetes, noticed several hours later that her blood glucose levels had become higher than usual and was surprised to see her pump showed sleep mode during the day.

She was able to address this glitch before going to sleep and thus “escaped a potential occurrence of nocturnal hypoglycemia,” Sullivan and her colleague, Saleh Aldasouqi, MD, wrote in a September commentary in the journal Clinical Diabetes.

The risk of daylight saving time (DST) changes for people with insulin pumps is well known. Aldasouqi himself raised it in a 2014 article in the Journal of Diabetes Science and Technology.

Medtronic Inc., the leading maker of insulin pumps, told this news organization in an email that it intends for future devices to automate DST changes. The company did not provide any further details on when such changes would happen.

For now, Medtronic and other makers of insulin pumps join in twice-a-year efforts to remind people they need to update their devices to adjust for DST changes. They will need to gear up these outreach campaigns, which include social media posts, again ahead of the end of DST on November 3, when clocks shift back an hour. Diabetes clinics and hospitals also send notes to patients.

Even so, people will fail to make this change or to do it correctly.

“Despite our efforts to educate our patients about DST glitches, we have detected incorrect time settings in some of our patients’ insulin pumps after the DST changes in the fall and spring and occasional cases of incorrect insulin dosing, resulting in hyperglycemia or hypoglycemia,” Sullivan and Aldasouqi wrote in their article.

The US Food and Drug Administration (FDA) database of injuries and mishaps with devices contains many reports about patients not adjusting their insulin pumps for DST.

Known as Manufacturer and User Facility Device Experience (MAUDE), this database does not provide identifying details about the patients. Instead, the reports contain only a few lines describing what happened. In many cases, people were able to easily resolve their temporary glycemic issues and then set their devices to the correct time.

But some of the MAUDE reports tell of more severe consequences, with people ending up in emergency rooms because they did not adjust their insulin pumps for DST.

Among these is a report about a November 2022 incident, where a patient suffered due to what appeared to be inaccurate continuous glucose monitor readings, combined with the effects of an insulin pump that had not been updated for a DST change.

Although that patient’s mother was available to assist and the patient consumed three dextrose candies, the patient still reportedly lost consciousness and experienced tremors. That led to hospitalization, where the patient was treated with intravenous saline, intravenous insulin, saline fluids, and insulin fluids. The patient left the hospital with “the issue resolved and no permanent damage” but then switched to another method of insulin therapy, the MAUDE report said.

It’s unclear how often DST changes lead to problems with insulin pumps, reflecting difficulties in tracking flaws and glitches in medical devices, Madris Kinard, the chief executive officer and founder of Device Events, told this news organization.

The FDA relies heavily on passive surveillance, gathering MAUDE reports submitted by companies, clinicians, and patients. That means many cases likely are missed, said Kinard who earlier worked as an analyst at the FDA, updating processes and systems to help identify risky devices.

For example, Sullivan told this news organization she had not filed a report for her incident with the insulin pump.
 

Permanent Standard Time?

Many clinicians, including Aldasouqi and Sullivan, argue a better solution to these challenges would be to end DST.

In their Clinical Diabetes article, they also cited other health risks associated with clock changes such as fatigue, headache, and loss of attention and alertness that can result in injuries.

But a permanent time change is a “politically charged issue, and it continues to be debated nationally and at the state level,” they wrote.

At least 30 states also considered measures this year related to DST, according to the National Conference of State Legislatures. A pending Senate bill intended to make DST permanent has the support of 8 Democrats and 11 Republicans, including Sen. Tommy Tuberville (R-Ala).

“It’s amazing how many phone calls we get over this one topic. People across America agree that changing our clocks back and forth twice a year really makes no sense,” Tuberville said last year on the Senate floor. “People call and say they’re just sick of it.”

These federal and state efforts have stalled to date on the key question of whether to make either standard time or DST permanent, the National Conference of State Legislatures noted. A shift to permanent DST might have benefits for some agricultural and recreational industries, but many physicians say it would be bad for people’s health.

The American Academy of Sleep Medicine (AASM) argues strongly for moving to permanent standard time. In a position statement published in the Journal of Clinical Sleep Medicine, the group said the acute transitions from standard time to DST pose harms, citing research indicating increased risks for adverse cardiovascular events, mood disorders, and motor vehicle crashes.

The solution is to end shifts in time and opt for standard time, which best aligns with the human biological clock, AASM said.

AASM noted that there already was a failed experiment in the United States with a shift to permanent DST. Congress established this in response to the 1973 OPEC oil embargo, expecting that allowing more evening hours with light would lead to energy savings. That didn’t pay off in the expected reduction in energy and the policy was highly unpopular, especially in rural areas, AASM said.

“After a single winter, the policy was reversed by an overwhelming congressional majority,” wrote Muhammad Adeel Rishi, MD, and other authors of the statement. “The unpopularity of the act was likely because despite greater evening light, the policy resulted in a greater proportion of days that required waking up on dark mornings, particularly in the winter.”

Karin G. Johnson, MD, professor of neurology at the UMass Chan School of Medicine, Worcester, Massachusetts, told this news organization that a shift to permanent DST would rob many people of the signals their bodies need for sleep.

“Sunrises and sunsets are later and that creates a desire for our body to stay up later and have more trouble getting up in the morning,” Johnson said. “You’re all but making it impossible for certain segments of the population to get enough sleep” with permanent DST.

Johnson, Sullivan, and Aldasouqi had no relevant financial disclosures.

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

Katie Sullivan, DNP, FNP-C, is publicizing her own challenge with updating an insulin pump as part of an effort to bring an end to the biannual seasonal clock changes in the United States.

On March 10, 2024, Sullivan, who works in the Endocrinology Clinic, Michigan State University, East Lansing, Michigan, mistakenly reversed the AM and PM settings while adjusting her own insulin pump. Sullivan, who has type 1 diabetes, noticed several hours later that her blood glucose levels had become higher than usual and was surprised to see her pump showed sleep mode during the day.

She was able to address this glitch before going to sleep and thus “escaped a potential occurrence of nocturnal hypoglycemia,” Sullivan and her colleague, Saleh Aldasouqi, MD, wrote in a September commentary in the journal Clinical Diabetes.

The risk of daylight saving time (DST) changes for people with insulin pumps is well known. Aldasouqi himself raised it in a 2014 article in the Journal of Diabetes Science and Technology.

Medtronic Inc., the leading maker of insulin pumps, told this news organization in an email that it intends for future devices to automate DST changes. The company did not provide any further details on when such changes would happen.

For now, Medtronic and other makers of insulin pumps join in twice-a-year efforts to remind people they need to update their devices to adjust for DST changes. They will need to gear up these outreach campaigns, which include social media posts, again ahead of the end of DST on November 3, when clocks shift back an hour. Diabetes clinics and hospitals also send notes to patients.

Even so, people will fail to make this change or to do it correctly.

“Despite our efforts to educate our patients about DST glitches, we have detected incorrect time settings in some of our patients’ insulin pumps after the DST changes in the fall and spring and occasional cases of incorrect insulin dosing, resulting in hyperglycemia or hypoglycemia,” Sullivan and Aldasouqi wrote in their article.

The US Food and Drug Administration (FDA) database of injuries and mishaps with devices contains many reports about patients not adjusting their insulin pumps for DST.

Known as Manufacturer and User Facility Device Experience (MAUDE), this database does not provide identifying details about the patients. Instead, the reports contain only a few lines describing what happened. In many cases, people were able to easily resolve their temporary glycemic issues and then set their devices to the correct time.

But some of the MAUDE reports tell of more severe consequences, with people ending up in emergency rooms because they did not adjust their insulin pumps for DST.

Among these is a report about a November 2022 incident, where a patient suffered due to what appeared to be inaccurate continuous glucose monitor readings, combined with the effects of an insulin pump that had not been updated for a DST change.

Although that patient’s mother was available to assist and the patient consumed three dextrose candies, the patient still reportedly lost consciousness and experienced tremors. That led to hospitalization, where the patient was treated with intravenous saline, intravenous insulin, saline fluids, and insulin fluids. The patient left the hospital with “the issue resolved and no permanent damage” but then switched to another method of insulin therapy, the MAUDE report said.

It’s unclear how often DST changes lead to problems with insulin pumps, reflecting difficulties in tracking flaws and glitches in medical devices, Madris Kinard, the chief executive officer and founder of Device Events, told this news organization.

The FDA relies heavily on passive surveillance, gathering MAUDE reports submitted by companies, clinicians, and patients. That means many cases likely are missed, said Kinard who earlier worked as an analyst at the FDA, updating processes and systems to help identify risky devices.

For example, Sullivan told this news organization she had not filed a report for her incident with the insulin pump.
 

Permanent Standard Time?

Many clinicians, including Aldasouqi and Sullivan, argue a better solution to these challenges would be to end DST.

In their Clinical Diabetes article, they also cited other health risks associated with clock changes such as fatigue, headache, and loss of attention and alertness that can result in injuries.

But a permanent time change is a “politically charged issue, and it continues to be debated nationally and at the state level,” they wrote.

At least 30 states also considered measures this year related to DST, according to the National Conference of State Legislatures. A pending Senate bill intended to make DST permanent has the support of 8 Democrats and 11 Republicans, including Sen. Tommy Tuberville (R-Ala).

“It’s amazing how many phone calls we get over this one topic. People across America agree that changing our clocks back and forth twice a year really makes no sense,” Tuberville said last year on the Senate floor. “People call and say they’re just sick of it.”

These federal and state efforts have stalled to date on the key question of whether to make either standard time or DST permanent, the National Conference of State Legislatures noted. A shift to permanent DST might have benefits for some agricultural and recreational industries, but many physicians say it would be bad for people’s health.

The American Academy of Sleep Medicine (AASM) argues strongly for moving to permanent standard time. In a position statement published in the Journal of Clinical Sleep Medicine, the group said the acute transitions from standard time to DST pose harms, citing research indicating increased risks for adverse cardiovascular events, mood disorders, and motor vehicle crashes.

The solution is to end shifts in time and opt for standard time, which best aligns with the human biological clock, AASM said.

AASM noted that there already was a failed experiment in the United States with a shift to permanent DST. Congress established this in response to the 1973 OPEC oil embargo, expecting that allowing more evening hours with light would lead to energy savings. That didn’t pay off in the expected reduction in energy and the policy was highly unpopular, especially in rural areas, AASM said.

“After a single winter, the policy was reversed by an overwhelming congressional majority,” wrote Muhammad Adeel Rishi, MD, and other authors of the statement. “The unpopularity of the act was likely because despite greater evening light, the policy resulted in a greater proportion of days that required waking up on dark mornings, particularly in the winter.”

Karin G. Johnson, MD, professor of neurology at the UMass Chan School of Medicine, Worcester, Massachusetts, told this news organization that a shift to permanent DST would rob many people of the signals their bodies need for sleep.

“Sunrises and sunsets are later and that creates a desire for our body to stay up later and have more trouble getting up in the morning,” Johnson said. “You’re all but making it impossible for certain segments of the population to get enough sleep” with permanent DST.

Johnson, Sullivan, and Aldasouqi had no relevant financial disclosures.

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

Katie Sullivan, DNP, FNP-C, is publicizing her own challenge with updating an insulin pump as part of an effort to bring an end to the biannual seasonal clock changes in the United States.

On March 10, 2024, Sullivan, who works in the Endocrinology Clinic, Michigan State University, East Lansing, Michigan, mistakenly reversed the AM and PM settings while adjusting her own insulin pump. Sullivan, who has type 1 diabetes, noticed several hours later that her blood glucose levels had become higher than usual and was surprised to see her pump showed sleep mode during the day.

She was able to address this glitch before going to sleep and thus “escaped a potential occurrence of nocturnal hypoglycemia,” Sullivan and her colleague, Saleh Aldasouqi, MD, wrote in a September commentary in the journal Clinical Diabetes.

The risk of daylight saving time (DST) changes for people with insulin pumps is well known. Aldasouqi himself raised it in a 2014 article in the Journal of Diabetes Science and Technology.

Medtronic Inc., the leading maker of insulin pumps, told this news organization in an email that it intends for future devices to automate DST changes. The company did not provide any further details on when such changes would happen.

For now, Medtronic and other makers of insulin pumps join in twice-a-year efforts to remind people they need to update their devices to adjust for DST changes. They will need to gear up these outreach campaigns, which include social media posts, again ahead of the end of DST on November 3, when clocks shift back an hour. Diabetes clinics and hospitals also send notes to patients.

Even so, people will fail to make this change or to do it correctly.

“Despite our efforts to educate our patients about DST glitches, we have detected incorrect time settings in some of our patients’ insulin pumps after the DST changes in the fall and spring and occasional cases of incorrect insulin dosing, resulting in hyperglycemia or hypoglycemia,” Sullivan and Aldasouqi wrote in their article.

The US Food and Drug Administration (FDA) database of injuries and mishaps with devices contains many reports about patients not adjusting their insulin pumps for DST.

Known as Manufacturer and User Facility Device Experience (MAUDE), this database does not provide identifying details about the patients. Instead, the reports contain only a few lines describing what happened. In many cases, people were able to easily resolve their temporary glycemic issues and then set their devices to the correct time.

But some of the MAUDE reports tell of more severe consequences, with people ending up in emergency rooms because they did not adjust their insulin pumps for DST.

Among these is a report about a November 2022 incident, where a patient suffered due to what appeared to be inaccurate continuous glucose monitor readings, combined with the effects of an insulin pump that had not been updated for a DST change.

Although that patient’s mother was available to assist and the patient consumed three dextrose candies, the patient still reportedly lost consciousness and experienced tremors. That led to hospitalization, where the patient was treated with intravenous saline, intravenous insulin, saline fluids, and insulin fluids. The patient left the hospital with “the issue resolved and no permanent damage” but then switched to another method of insulin therapy, the MAUDE report said.

It’s unclear how often DST changes lead to problems with insulin pumps, reflecting difficulties in tracking flaws and glitches in medical devices, Madris Kinard, the chief executive officer and founder of Device Events, told this news organization.

The FDA relies heavily on passive surveillance, gathering MAUDE reports submitted by companies, clinicians, and patients. That means many cases likely are missed, said Kinard who earlier worked as an analyst at the FDA, updating processes and systems to help identify risky devices.

For example, Sullivan told this news organization she had not filed a report for her incident with the insulin pump.
 

Permanent Standard Time?

Many clinicians, including Aldasouqi and Sullivan, argue a better solution to these challenges would be to end DST.

In their Clinical Diabetes article, they also cited other health risks associated with clock changes such as fatigue, headache, and loss of attention and alertness that can result in injuries.

But a permanent time change is a “politically charged issue, and it continues to be debated nationally and at the state level,” they wrote.

At least 30 states also considered measures this year related to DST, according to the National Conference of State Legislatures. A pending Senate bill intended to make DST permanent has the support of 8 Democrats and 11 Republicans, including Sen. Tommy Tuberville (R-Ala).

“It’s amazing how many phone calls we get over this one topic. People across America agree that changing our clocks back and forth twice a year really makes no sense,” Tuberville said last year on the Senate floor. “People call and say they’re just sick of it.”

These federal and state efforts have stalled to date on the key question of whether to make either standard time or DST permanent, the National Conference of State Legislatures noted. A shift to permanent DST might have benefits for some agricultural and recreational industries, but many physicians say it would be bad for people’s health.

The American Academy of Sleep Medicine (AASM) argues strongly for moving to permanent standard time. In a position statement published in the Journal of Clinical Sleep Medicine, the group said the acute transitions from standard time to DST pose harms, citing research indicating increased risks for adverse cardiovascular events, mood disorders, and motor vehicle crashes.

The solution is to end shifts in time and opt for standard time, which best aligns with the human biological clock, AASM said.

AASM noted that there already was a failed experiment in the United States with a shift to permanent DST. Congress established this in response to the 1973 OPEC oil embargo, expecting that allowing more evening hours with light would lead to energy savings. That didn’t pay off in the expected reduction in energy and the policy was highly unpopular, especially in rural areas, AASM said.

“After a single winter, the policy was reversed by an overwhelming congressional majority,” wrote Muhammad Adeel Rishi, MD, and other authors of the statement. “The unpopularity of the act was likely because despite greater evening light, the policy resulted in a greater proportion of days that required waking up on dark mornings, particularly in the winter.”

Karin G. Johnson, MD, professor of neurology at the UMass Chan School of Medicine, Worcester, Massachusetts, told this news organization that a shift to permanent DST would rob many people of the signals their bodies need for sleep.

“Sunrises and sunsets are later and that creates a desire for our body to stay up later and have more trouble getting up in the morning,” Johnson said. “You’re all but making it impossible for certain segments of the population to get enough sleep” with permanent DST.

Johnson, Sullivan, and Aldasouqi had no relevant financial disclosures.

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

“Because you know I’m all about that base, ‘bout that base, no acid.” 

Do those words sound familiar? That’s because they’re the lyrics to Meghan Trainor’s “All About That Bass,” slightly tweaked to function as a medical study tool.

Early in med school, J.C. Sue, DO, now a family medicine physician, refashioned the song’s words to help him prepare for a test on acid extruders and loaders. Sue’s version, “All About That Base,” contained his lecture notes. During the exam, he found himself mentally singing his parody and easily recalling the information. Plus, the approach made cramming a lot more palatable.

Sound silly? It’s not. Sue’s approach is backed up by science. A significant body of research has illuminated the positive association between music and memory. And the benefits last. Recently, a 2024 study from Canada suggested that musical memory doesn’t decrease with age. And a 2023 study revealed music was a better cue than food for helping both young and older adults recall autobiographical memories.

Inspired by his success, Sue gave popular songs a medical spin throughout his medical training. “There’s no rule that says studying must be boring, tedious, or torturous,” Sue said. “If you can make it fun, why not?”

Sue isn’t alone. Many physicians say that writing songs, listening to music, or playing instruments improves their focus, energy, and work performance, along with their confidence and well-being.

Why does music work so well?
 

Tune Your Brain to Work With Tunes

Remember learning your ABCs to the tune of “Twinkle, Twinkle, Little Star?” (Or ask any Gen X person about Schoolhouse Rock.)

In the classroom, music is an established tool for teaching kids, said Ruth Gotian, EdD, MS, chief learning officer and associate professor of education in anesthesiology at Weill Cornell Medicine, New York City. But she said musical strategies make studying easier for adults, too, no matter how complex the material.

Christopher Emdin, PhD, Maxine Greene chair and professor of science education at Teachers College, Columbia University, New York City, shares Gotian’s view. When teaching science, engineering, technology, and mathematics (STEM) subjects to high school kids, he challenged them to write raps about the new concepts.

That’s when he saw visible results: As his students took exams, Emdin noticed them nodding and moving their mouths and heads.

“They were literally performing the songs they’d written for themselves,” Emdin said. “When you write a song to a beat, it’s almost like your heartbeat. You know it so well; you can conjure up your memories by reciting the lyrics.”

If songwriting isn’t in your repertoire, you’ll be glad to hear that just listening to music while studying can help with retention. “Music keeps both sides of the brain stimulated, which has been shown to increase focus and motivation,” explained Anita A. Paschall, MD, PhD, Medical School and Healthcare Admissions expert/director of Medical School and Healthcare Admissions at The Princeton Review.
 

‘Mind on a Permanent Vacation’

Paschall’s enthusiasm comes from personal experience. While preparing for her board exams, Jimmy Buffet’s catalog was her study soundtrack. “His songs stayed in my mind. I could hum along without having to think about it, so my brain was free to focus,” she recalled.

Because Paschall grew up listening to Buffet’s tunes, they also evoked relaxing moments from her earlier life, which she found comforting and uplifting. The combination helped make long, intense study sessions more pleasant. After all, when you’re “wasting away again in Margaritaville,” how can you feel stressed and despondent?

Alexander Remy Bonnel, MD, clinical assistant professor of medicine at the University of Pennsylvania and a physician at Pennsylvania Hospital, both in Philadelphia, found ways to incorporate both auditory and visual stimuli in his med school study routine. He listened to music while color-coding his notes to link both cues to the information. As with Paschall, these tactics helped reduce the monotony of learning reams of material.

That gave Bonnel an easy way to establish an important element for memory: Novelty.

“When you need to memorize so many things in a short amount of time, you’re trying to vary ways of internalizing information,” he observed. “You have a higher chance of retaining information if there’s something unique about it.”
 

Building Team Harmony

“Almost every single OR I rotated through in med school had music playing,” Bonnel also recalled. Furthermore, he noticed a pattern to the chosen songs: Regardless of their age, surgeons selected playlists of tunes that had been popular when they were in their 20s. Those golden oldies, from any era, could turn the OR team into a focused, cohesive unit.

Kyle McCormick, MD, a fifth-year resident in orthopedic surgery at New York–Presbyterian Hospital, Columbia University Irving Medical Center, New York City, has also noticed the ubiquity of background music in ORs. Her observation: Surgeons tend to choose universally popular, inoffensive songs, like tracks from Hall & Oates and Fleetwood Mac.

This meshes with the results of a joint survey of nearly 700 surgeons and other healthcare professionals conducted by Spotify and Figure 1 in 2021; 90% of the surgeons and surgical residents who responded said they listened to music in the OR. Rock and pop were the most popular genres, followed by classical, jazz, and then R&B.

Regardless of genre, music helped the surgical teams focus and feel less tense, the surgeons reported. But when training younger doctors, managing complications, or performing during critical points in surgery, many said they’d lower the volume.

Outside the OR, music can also help foster connection between colleagues. For Lawrence C. Loh, MD, MPH, adjunct professor at Dalla Lana School of Public Health at the University of Toronto in Ontario, Canada, playing guitar and piano has helped him connect with his staff. “I’ve played tunes at staff gatherings and recorded videos as encouragement during the emergency response for COVID-19,” he shared.

In his free time, Loh has also organized outings to his local pub’s weekly karaoke show for more than a decade. His goal: “Promote social cohesion and combat loneliness among my friend and social networks.”
 

Get Your Own Musical Boost

If all this sounds like music to your ears, here are some ways to try it yourself.

Find a study soundtrack. When choosing study music, follow Paschall’s lead and pick songs you know well so they’ll remain in the background. Also, compile a soundtrack you find pleasant and mood-boosting to help relieve the tedium of study and decrease stress.

Keep in mind that we all take in and process information differently, said Gotian. So background music during study sessions might not work for you. According to a 2017 study published in Frontiers in Psychology, it can be a distraction and impair learning for some. Do what works.

Get pumped with a “walkup song.” What songs make you feel like you could conquer the world? asked Emdin. Or what soundtrack would be playing if you were ascending a stage to accept an award or walking out to take the mound in the ninth inning? Those songs should be on what he calls your “superhero” or “walkup” playlist. His prescription: Tune in before you begin your workday or start a challenging procedure.

Paschall agrees and recommends her students and clients listen to music before sitting down for an exam. Forget reviewing flashcards for the nth time, she counseled. Putting on headphones (or earbuds) will put you in a “better headspace.”

Choose work and play playlists. As well as incorporating tunes in your clinic or hospital, music can help relieve stress at the end of the workday. “Medical culture can often be detrimental to doctors’ health,” said Sue, who credits music with helping him maintain equanimity.

Bonnel can relate. Practicing and performing with the Penn Medicine Symphony Orchestra offers him a sense of community and relief from the stress of modern life. “For 2 hours every Tuesday, I put my phone away and just play,” he said. “It’s nice to have those moments when I’m temporarily disconnected and can just focus on one thing: Playing.”
 

Scale Up Your Career

Years after med school graduation, Sue still recalls many of the tunes he wrote to help him remember information. When he sings a song in his head, he’ll get a refresher on pediatric developmental milestones, medication side effects, anatomical details, and more, which informs the treatment plans he devises for patients. To help other doctors reap these benefits, Sue created the website Tune Rx, a medical music study resource that includes many of the roughly 100 songs he’s written.

Emdin often discusses his musical strategies during talks on STEM education. Initially, people are skeptical, he said. But the idea quickly rings a bell for audience members. “They come up to me afterward to share anecdotes,” Emdin said. “If you have enough anecdotes, there’s a pattern. So let’s create a process. Let’s be intentional about using music as a learning strategy,” he urged.

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

“Because you know I’m all about that base, ‘bout that base, no acid.” 

Do those words sound familiar? That’s because they’re the lyrics to Meghan Trainor’s “All About That Bass,” slightly tweaked to function as a medical study tool.

Early in med school, J.C. Sue, DO, now a family medicine physician, refashioned the song’s words to help him prepare for a test on acid extruders and loaders. Sue’s version, “All About That Base,” contained his lecture notes. During the exam, he found himself mentally singing his parody and easily recalling the information. Plus, the approach made cramming a lot more palatable.

Sound silly? It’s not. Sue’s approach is backed up by science. A significant body of research has illuminated the positive association between music and memory. And the benefits last. Recently, a 2024 study from Canada suggested that musical memory doesn’t decrease with age. And a 2023 study revealed music was a better cue than food for helping both young and older adults recall autobiographical memories.

Inspired by his success, Sue gave popular songs a medical spin throughout his medical training. “There’s no rule that says studying must be boring, tedious, or torturous,” Sue said. “If you can make it fun, why not?”

Sue isn’t alone. Many physicians say that writing songs, listening to music, or playing instruments improves their focus, energy, and work performance, along with their confidence and well-being.

Why does music work so well?
 

Tune Your Brain to Work With Tunes

Remember learning your ABCs to the tune of “Twinkle, Twinkle, Little Star?” (Or ask any Gen X person about Schoolhouse Rock.)

In the classroom, music is an established tool for teaching kids, said Ruth Gotian, EdD, MS, chief learning officer and associate professor of education in anesthesiology at Weill Cornell Medicine, New York City. But she said musical strategies make studying easier for adults, too, no matter how complex the material.

Christopher Emdin, PhD, Maxine Greene chair and professor of science education at Teachers College, Columbia University, New York City, shares Gotian’s view. When teaching science, engineering, technology, and mathematics (STEM) subjects to high school kids, he challenged them to write raps about the new concepts.

That’s when he saw visible results: As his students took exams, Emdin noticed them nodding and moving their mouths and heads.

“They were literally performing the songs they’d written for themselves,” Emdin said. “When you write a song to a beat, it’s almost like your heartbeat. You know it so well; you can conjure up your memories by reciting the lyrics.”

If songwriting isn’t in your repertoire, you’ll be glad to hear that just listening to music while studying can help with retention. “Music keeps both sides of the brain stimulated, which has been shown to increase focus and motivation,” explained Anita A. Paschall, MD, PhD, Medical School and Healthcare Admissions expert/director of Medical School and Healthcare Admissions at The Princeton Review.
 

‘Mind on a Permanent Vacation’

Paschall’s enthusiasm comes from personal experience. While preparing for her board exams, Jimmy Buffet’s catalog was her study soundtrack. “His songs stayed in my mind. I could hum along without having to think about it, so my brain was free to focus,” she recalled.

Because Paschall grew up listening to Buffet’s tunes, they also evoked relaxing moments from her earlier life, which she found comforting and uplifting. The combination helped make long, intense study sessions more pleasant. After all, when you’re “wasting away again in Margaritaville,” how can you feel stressed and despondent?

Alexander Remy Bonnel, MD, clinical assistant professor of medicine at the University of Pennsylvania and a physician at Pennsylvania Hospital, both in Philadelphia, found ways to incorporate both auditory and visual stimuli in his med school study routine. He listened to music while color-coding his notes to link both cues to the information. As with Paschall, these tactics helped reduce the monotony of learning reams of material.

That gave Bonnel an easy way to establish an important element for memory: Novelty.

“When you need to memorize so many things in a short amount of time, you’re trying to vary ways of internalizing information,” he observed. “You have a higher chance of retaining information if there’s something unique about it.”
 

Building Team Harmony

“Almost every single OR I rotated through in med school had music playing,” Bonnel also recalled. Furthermore, he noticed a pattern to the chosen songs: Regardless of their age, surgeons selected playlists of tunes that had been popular when they were in their 20s. Those golden oldies, from any era, could turn the OR team into a focused, cohesive unit.

Kyle McCormick, MD, a fifth-year resident in orthopedic surgery at New York–Presbyterian Hospital, Columbia University Irving Medical Center, New York City, has also noticed the ubiquity of background music in ORs. Her observation: Surgeons tend to choose universally popular, inoffensive songs, like tracks from Hall & Oates and Fleetwood Mac.

This meshes with the results of a joint survey of nearly 700 surgeons and other healthcare professionals conducted by Spotify and Figure 1 in 2021; 90% of the surgeons and surgical residents who responded said they listened to music in the OR. Rock and pop were the most popular genres, followed by classical, jazz, and then R&B.

Regardless of genre, music helped the surgical teams focus and feel less tense, the surgeons reported. But when training younger doctors, managing complications, or performing during critical points in surgery, many said they’d lower the volume.

Outside the OR, music can also help foster connection between colleagues. For Lawrence C. Loh, MD, MPH, adjunct professor at Dalla Lana School of Public Health at the University of Toronto in Ontario, Canada, playing guitar and piano has helped him connect with his staff. “I’ve played tunes at staff gatherings and recorded videos as encouragement during the emergency response for COVID-19,” he shared.

In his free time, Loh has also organized outings to his local pub’s weekly karaoke show for more than a decade. His goal: “Promote social cohesion and combat loneliness among my friend and social networks.”
 

Get Your Own Musical Boost

If all this sounds like music to your ears, here are some ways to try it yourself.

Find a study soundtrack. When choosing study music, follow Paschall’s lead and pick songs you know well so they’ll remain in the background. Also, compile a soundtrack you find pleasant and mood-boosting to help relieve the tedium of study and decrease stress.

Keep in mind that we all take in and process information differently, said Gotian. So background music during study sessions might not work for you. According to a 2017 study published in Frontiers in Psychology, it can be a distraction and impair learning for some. Do what works.

Get pumped with a “walkup song.” What songs make you feel like you could conquer the world? asked Emdin. Or what soundtrack would be playing if you were ascending a stage to accept an award or walking out to take the mound in the ninth inning? Those songs should be on what he calls your “superhero” or “walkup” playlist. His prescription: Tune in before you begin your workday or start a challenging procedure.

Paschall agrees and recommends her students and clients listen to music before sitting down for an exam. Forget reviewing flashcards for the nth time, she counseled. Putting on headphones (or earbuds) will put you in a “better headspace.”

Choose work and play playlists. As well as incorporating tunes in your clinic or hospital, music can help relieve stress at the end of the workday. “Medical culture can often be detrimental to doctors’ health,” said Sue, who credits music with helping him maintain equanimity.

Bonnel can relate. Practicing and performing with the Penn Medicine Symphony Orchestra offers him a sense of community and relief from the stress of modern life. “For 2 hours every Tuesday, I put my phone away and just play,” he said. “It’s nice to have those moments when I’m temporarily disconnected and can just focus on one thing: Playing.”
 

Scale Up Your Career

Years after med school graduation, Sue still recalls many of the tunes he wrote to help him remember information. When he sings a song in his head, he’ll get a refresher on pediatric developmental milestones, medication side effects, anatomical details, and more, which informs the treatment plans he devises for patients. To help other doctors reap these benefits, Sue created the website Tune Rx, a medical music study resource that includes many of the roughly 100 songs he’s written.

Emdin often discusses his musical strategies during talks on STEM education. Initially, people are skeptical, he said. But the idea quickly rings a bell for audience members. “They come up to me afterward to share anecdotes,” Emdin said. “If you have enough anecdotes, there’s a pattern. So let’s create a process. Let’s be intentional about using music as a learning strategy,” he urged.

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

“Because you know I’m all about that base, ‘bout that base, no acid.” 

Do those words sound familiar? That’s because they’re the lyrics to Meghan Trainor’s “All About That Bass,” slightly tweaked to function as a medical study tool.

Early in med school, J.C. Sue, DO, now a family medicine physician, refashioned the song’s words to help him prepare for a test on acid extruders and loaders. Sue’s version, “All About That Base,” contained his lecture notes. During the exam, he found himself mentally singing his parody and easily recalling the information. Plus, the approach made cramming a lot more palatable.

Sound silly? It’s not. Sue’s approach is backed up by science. A significant body of research has illuminated the positive association between music and memory. And the benefits last. Recently, a 2024 study from Canada suggested that musical memory doesn’t decrease with age. And a 2023 study revealed music was a better cue than food for helping both young and older adults recall autobiographical memories.

Inspired by his success, Sue gave popular songs a medical spin throughout his medical training. “There’s no rule that says studying must be boring, tedious, or torturous,” Sue said. “If you can make it fun, why not?”

Sue isn’t alone. Many physicians say that writing songs, listening to music, or playing instruments improves their focus, energy, and work performance, along with their confidence and well-being.

Why does music work so well?
 

Tune Your Brain to Work With Tunes

Remember learning your ABCs to the tune of “Twinkle, Twinkle, Little Star?” (Or ask any Gen X person about Schoolhouse Rock.)

In the classroom, music is an established tool for teaching kids, said Ruth Gotian, EdD, MS, chief learning officer and associate professor of education in anesthesiology at Weill Cornell Medicine, New York City. But she said musical strategies make studying easier for adults, too, no matter how complex the material.

Christopher Emdin, PhD, Maxine Greene chair and professor of science education at Teachers College, Columbia University, New York City, shares Gotian’s view. When teaching science, engineering, technology, and mathematics (STEM) subjects to high school kids, he challenged them to write raps about the new concepts.

That’s when he saw visible results: As his students took exams, Emdin noticed them nodding and moving their mouths and heads.

“They were literally performing the songs they’d written for themselves,” Emdin said. “When you write a song to a beat, it’s almost like your heartbeat. You know it so well; you can conjure up your memories by reciting the lyrics.”

If songwriting isn’t in your repertoire, you’ll be glad to hear that just listening to music while studying can help with retention. “Music keeps both sides of the brain stimulated, which has been shown to increase focus and motivation,” explained Anita A. Paschall, MD, PhD, Medical School and Healthcare Admissions expert/director of Medical School and Healthcare Admissions at The Princeton Review.
 

‘Mind on a Permanent Vacation’

Paschall’s enthusiasm comes from personal experience. While preparing for her board exams, Jimmy Buffet’s catalog was her study soundtrack. “His songs stayed in my mind. I could hum along without having to think about it, so my brain was free to focus,” she recalled.

Because Paschall grew up listening to Buffet’s tunes, they also evoked relaxing moments from her earlier life, which she found comforting and uplifting. The combination helped make long, intense study sessions more pleasant. After all, when you’re “wasting away again in Margaritaville,” how can you feel stressed and despondent?

Alexander Remy Bonnel, MD, clinical assistant professor of medicine at the University of Pennsylvania and a physician at Pennsylvania Hospital, both in Philadelphia, found ways to incorporate both auditory and visual stimuli in his med school study routine. He listened to music while color-coding his notes to link both cues to the information. As with Paschall, these tactics helped reduce the monotony of learning reams of material.

That gave Bonnel an easy way to establish an important element for memory: Novelty.

“When you need to memorize so many things in a short amount of time, you’re trying to vary ways of internalizing information,” he observed. “You have a higher chance of retaining information if there’s something unique about it.”
 

Building Team Harmony

“Almost every single OR I rotated through in med school had music playing,” Bonnel also recalled. Furthermore, he noticed a pattern to the chosen songs: Regardless of their age, surgeons selected playlists of tunes that had been popular when they were in their 20s. Those golden oldies, from any era, could turn the OR team into a focused, cohesive unit.

Kyle McCormick, MD, a fifth-year resident in orthopedic surgery at New York–Presbyterian Hospital, Columbia University Irving Medical Center, New York City, has also noticed the ubiquity of background music in ORs. Her observation: Surgeons tend to choose universally popular, inoffensive songs, like tracks from Hall & Oates and Fleetwood Mac.

This meshes with the results of a joint survey of nearly 700 surgeons and other healthcare professionals conducted by Spotify and Figure 1 in 2021; 90% of the surgeons and surgical residents who responded said they listened to music in the OR. Rock and pop were the most popular genres, followed by classical, jazz, and then R&B.

Regardless of genre, music helped the surgical teams focus and feel less tense, the surgeons reported. But when training younger doctors, managing complications, or performing during critical points in surgery, many said they’d lower the volume.

Outside the OR, music can also help foster connection between colleagues. For Lawrence C. Loh, MD, MPH, adjunct professor at Dalla Lana School of Public Health at the University of Toronto in Ontario, Canada, playing guitar and piano has helped him connect with his staff. “I’ve played tunes at staff gatherings and recorded videos as encouragement during the emergency response for COVID-19,” he shared.

In his free time, Loh has also organized outings to his local pub’s weekly karaoke show for more than a decade. His goal: “Promote social cohesion and combat loneliness among my friend and social networks.”
 

Get Your Own Musical Boost

If all this sounds like music to your ears, here are some ways to try it yourself.

Find a study soundtrack. When choosing study music, follow Paschall’s lead and pick songs you know well so they’ll remain in the background. Also, compile a soundtrack you find pleasant and mood-boosting to help relieve the tedium of study and decrease stress.

Keep in mind that we all take in and process information differently, said Gotian. So background music during study sessions might not work for you. According to a 2017 study published in Frontiers in Psychology, it can be a distraction and impair learning for some. Do what works.

Get pumped with a “walkup song.” What songs make you feel like you could conquer the world? asked Emdin. Or what soundtrack would be playing if you were ascending a stage to accept an award or walking out to take the mound in the ninth inning? Those songs should be on what he calls your “superhero” or “walkup” playlist. His prescription: Tune in before you begin your workday or start a challenging procedure.

Paschall agrees and recommends her students and clients listen to music before sitting down for an exam. Forget reviewing flashcards for the nth time, she counseled. Putting on headphones (or earbuds) will put you in a “better headspace.”

Choose work and play playlists. As well as incorporating tunes in your clinic or hospital, music can help relieve stress at the end of the workday. “Medical culture can often be detrimental to doctors’ health,” said Sue, who credits music with helping him maintain equanimity.

Bonnel can relate. Practicing and performing with the Penn Medicine Symphony Orchestra offers him a sense of community and relief from the stress of modern life. “For 2 hours every Tuesday, I put my phone away and just play,” he said. “It’s nice to have those moments when I’m temporarily disconnected and can just focus on one thing: Playing.”
 

Scale Up Your Career

Years after med school graduation, Sue still recalls many of the tunes he wrote to help him remember information. When he sings a song in his head, he’ll get a refresher on pediatric developmental milestones, medication side effects, anatomical details, and more, which informs the treatment plans he devises for patients. To help other doctors reap these benefits, Sue created the website Tune Rx, a medical music study resource that includes many of the roughly 100 songs he’s written.

Emdin often discusses his musical strategies during talks on STEM education. Initially, people are skeptical, he said. But the idea quickly rings a bell for audience members. “They come up to me afterward to share anecdotes,” Emdin said. “If you have enough anecdotes, there’s a pattern. So let’s create a process. Let’s be intentional about using music as a learning strategy,” he urged.

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

TOPLINE:

Automated insulin delivery (AID) systems reduce diabetes distress and fear of hypoglycemia, improve quality of life, and increase awareness about hypoglycemia in adults, children, and adolescents with diabetes.

METHODOLOGY:

• Despite the known benefits of AID systems for glycemic control, conclusive evidence on the impact of these devices on person-reported outcomes (PROs) has been limited.
• A systematic review and meta-analysis of 62 studies that reported the findings of 45 different quantitative questionnaires analyzed the effects of AID systems on various PROs in patients with diabetes.
• Studies were included if they reported the results of at least one PRO assessed via a validated questionnaire; no restrictions on populations were applied, such that studies could include individuals of all ages with type 1 diabetes or adults with type 2 diabetes.
• Intervention groups in the original studies involved an AID system comprising an insulin pump, a continuous glucose monitoring (CGM) system, and an algorithm controlling insulin delivery on the basis of CGM data. The control group, if included, involved non-AID systems such as multiple daily injections of insulin, standalone insulin pump therapy, or others.
• The main outcomes studied were diabetes distress, fear of hypoglycemia, and quality of life.

TAKEAWAY:

• Meta-analysis of 13 randomized controlled trials (RCTs) found a significant reduction in diabetes distress with the use of AID systems vs non-AID systems (standardized mean difference [SMD], −0.159; P = .0322).
• Fear of hypoglycemia, as assessed by the Hypoglycemia Fear Survey-II in up to 16 RCTs, was significantly reduced in participants using AID systems (SMD, −0.339; P = .0005); AID systems also improved awareness about hypoglycemia, as determined from analysis of four RCTs (SMD, −0.231; P = .0193).
• Quality of life and pediatric quality of life scores at follow-up, as assessed in three and five RCTs, respectively, were higher for patients using AID systems than for those in the control group.
• The promising effects of AID systems on alleviating disease burden and improving quality of life outcomes were also evident from the observational studies included in this meta-analysis.

IN PRACTICE:

“These findings can be used by health technology assessment bodies and policy makers to inform reimbursement decisions for AID therapy and can also help to widen access to this diabetes technology,” the authors wrote.

SOURCE:

The study was led by Timm Roos, Research Institute of the Diabetes Academy Mergentheim, Bad Mergentheim, Germany. It was published online in eClinicalMedicine.

LIMITATIONS:

A large number of different questionnaires were used to assess PROs, leading to complexity in the analysis. The limited number of studies that could be pooled for some PROs suggests the need for more research with a uniform assessment of PROs. Finally, the inclusion of different generations of AID systems may have introduced bias in the observed effects on PROs.

DISCLOSURES:

This study did not receive any funding. Some authors reported receiving honoraria, consulting fees, travel support, and advisory board member fees as well as other ties with many pharmaceutical companies.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version this article first appeared on Medscape.com.

TOPLINE:

Automated insulin delivery (AID) systems reduce diabetes distress and fear of hypoglycemia, improve quality of life, and increase awareness about hypoglycemia in adults, children, and adolescents with diabetes.

METHODOLOGY:

• Despite the known benefits of AID systems for glycemic control, conclusive evidence on the impact of these devices on person-reported outcomes (PROs) has been limited.
• A systematic review and meta-analysis of 62 studies that reported the findings of 45 different quantitative questionnaires analyzed the effects of AID systems on various PROs in patients with diabetes.
• Studies were included if they reported the results of at least one PRO assessed via a validated questionnaire; no restrictions on populations were applied, such that studies could include individuals of all ages with type 1 diabetes or adults with type 2 diabetes.
• Intervention groups in the original studies involved an AID system comprising an insulin pump, a continuous glucose monitoring (CGM) system, and an algorithm controlling insulin delivery on the basis of CGM data. The control group, if included, involved non-AID systems such as multiple daily injections of insulin, standalone insulin pump therapy, or others.
• The main outcomes studied were diabetes distress, fear of hypoglycemia, and quality of life.

TAKEAWAY:

• Meta-analysis of 13 randomized controlled trials (RCTs) found a significant reduction in diabetes distress with the use of AID systems vs non-AID systems (standardized mean difference [SMD], −0.159; P = .0322).
• Fear of hypoglycemia, as assessed by the Hypoglycemia Fear Survey-II in up to 16 RCTs, was significantly reduced in participants using AID systems (SMD, −0.339; P = .0005); AID systems also improved awareness about hypoglycemia, as determined from analysis of four RCTs (SMD, −0.231; P = .0193).
• Quality of life and pediatric quality of life scores at follow-up, as assessed in three and five RCTs, respectively, were higher for patients using AID systems than for those in the control group.
• The promising effects of AID systems on alleviating disease burden and improving quality of life outcomes were also evident from the observational studies included in this meta-analysis.

IN PRACTICE:

“These findings can be used by health technology assessment bodies and policy makers to inform reimbursement decisions for AID therapy and can also help to widen access to this diabetes technology,” the authors wrote.

SOURCE:

The study was led by Timm Roos, Research Institute of the Diabetes Academy Mergentheim, Bad Mergentheim, Germany. It was published online in eClinicalMedicine.

LIMITATIONS:

A large number of different questionnaires were used to assess PROs, leading to complexity in the analysis. The limited number of studies that could be pooled for some PROs suggests the need for more research with a uniform assessment of PROs. Finally, the inclusion of different generations of AID systems may have introduced bias in the observed effects on PROs.

DISCLOSURES:

This study did not receive any funding. Some authors reported receiving honoraria, consulting fees, travel support, and advisory board member fees as well as other ties with many pharmaceutical companies.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version this article first appeared on Medscape.com.

TOPLINE:

Automated insulin delivery (AID) systems reduce diabetes distress and fear of hypoglycemia, improve quality of life, and increase awareness about hypoglycemia in adults, children, and adolescents with diabetes.

METHODOLOGY:

• Despite the known benefits of AID systems for glycemic control, conclusive evidence on the impact of these devices on person-reported outcomes (PROs) has been limited.
• A systematic review and meta-analysis of 62 studies that reported the findings of 45 different quantitative questionnaires analyzed the effects of AID systems on various PROs in patients with diabetes.
• Studies were included if they reported the results of at least one PRO assessed via a validated questionnaire; no restrictions on populations were applied, such that studies could include individuals of all ages with type 1 diabetes or adults with type 2 diabetes.
• Intervention groups in the original studies involved an AID system comprising an insulin pump, a continuous glucose monitoring (CGM) system, and an algorithm controlling insulin delivery on the basis of CGM data. The control group, if included, involved non-AID systems such as multiple daily injections of insulin, standalone insulin pump therapy, or others.
• The main outcomes studied were diabetes distress, fear of hypoglycemia, and quality of life.

TAKEAWAY:

• Meta-analysis of 13 randomized controlled trials (RCTs) found a significant reduction in diabetes distress with the use of AID systems vs non-AID systems (standardized mean difference [SMD], −0.159; P = .0322).
• Fear of hypoglycemia, as assessed by the Hypoglycemia Fear Survey-II in up to 16 RCTs, was significantly reduced in participants using AID systems (SMD, −0.339; P = .0005); AID systems also improved awareness about hypoglycemia, as determined from analysis of four RCTs (SMD, −0.231; P = .0193).
• Quality of life and pediatric quality of life scores at follow-up, as assessed in three and five RCTs, respectively, were higher for patients using AID systems than for those in the control group.
• The promising effects of AID systems on alleviating disease burden and improving quality of life outcomes were also evident from the observational studies included in this meta-analysis.

IN PRACTICE:

“These findings can be used by health technology assessment bodies and policy makers to inform reimbursement decisions for AID therapy and can also help to widen access to this diabetes technology,” the authors wrote.

SOURCE:

The study was led by Timm Roos, Research Institute of the Diabetes Academy Mergentheim, Bad Mergentheim, Germany. It was published online in eClinicalMedicine.

LIMITATIONS:

A large number of different questionnaires were used to assess PROs, leading to complexity in the analysis. The limited number of studies that could be pooled for some PROs suggests the need for more research with a uniform assessment of PROs. Finally, the inclusion of different generations of AID systems may have introduced bias in the observed effects on PROs.

DISCLOSURES:

This study did not receive any funding. Some authors reported receiving honoraria, consulting fees, travel support, and advisory board member fees as well as other ties with many pharmaceutical companies.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version this article first appeared on Medscape.com.

TOPLINE:

Excess body fat in postmenopausal women is linked to a higher risk for breast cancer, with the Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) showing a stronger association than body mass index (BMI). Accurate body fat measures are crucial for effective cancer prevention.

METHODOLOGY:

• Researchers conducted a case-control study including 1033 breast cancer cases and 1143 postmenopausal population controls from the MCC-Spain study.
• Participants were aged 20-85 years. BMI was calculated as the ratio of weight to height squared and categorized using World Health Organization standards: < 25, 25-29.9, 30-34.9, and ≥ 35.
• CUN-BAE was calculated using a specific equation and categorized according to the estimated percentage of body fat: < 35%, 35%-39.9%, 40%-44.9%, and ≥ 45%.
• Odds ratios (ORs) were estimated with 95% CIs for both measures (BMI and CUN-BAE) for breast cancer cases using unconditional logistic regression.

TAKEAWAY:

• Excess body weight attributable to the risk for breast cancer was 23% when assessed using a BMI value > 30 and 38% when assessed using a CUN-BAE value > 40% body fat.
• Hormone receptor stratification showed that these differences in population-attributable fractions were only observed in hormone receptor–positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE.
• The highest categories of CUN-BAE showed an increase in the risk for postmenopausal breast cancer (OR, 2.13 for body fat ≥ 45% compared with the reference category < 35%).
• No similar trend was observed for BMI, as the gradient declined after a BMI ≥ 35.

IN PRACTICE:

“The results of our study indicate that excess body fat is a significant risk factor for hormone receptor–positive breast cancer in postmenopausal women. Our findings suggest that the population impact could be underestimated when using traditional BMI estimates, and that more accurate measures of body fat, such as CUN-BAE, should be considered,” the authors of the study wrote.

SOURCE:

This study was led by Verónica Dávila-Batista, University of Las Palmas de Gran Canaria in Las Palmas de Gran Canaria, Spain. It was published online in Journal of Epidemiology and Community Health.

LIMITATIONS:

The case-control design of the study may have limited the ability to establish causal relationships. BMI was self-reported at the time of the interview for controls and 1 year before diagnosis for cancer cases, which may have introduced recall bias. The formula for CUN-BAE was calculated from a sedentary convenience sample, which may not have been representative of the general population. The small sample size of cases that did not express hormone receptors was another limitation. The study’s findings may not be generalizable to non-White populations as non-White participants were excluded.

DISCLOSURES:

Dávila-Batista disclosed receiving grants from the Carlos III Health Institute. 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 appeared on Medscape.com.

TOPLINE:

Excess body fat in postmenopausal women is linked to a higher risk for breast cancer, with the Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) showing a stronger association than body mass index (BMI). Accurate body fat measures are crucial for effective cancer prevention.

METHODOLOGY:

• Researchers conducted a case-control study including 1033 breast cancer cases and 1143 postmenopausal population controls from the MCC-Spain study.
• Participants were aged 20-85 years. BMI was calculated as the ratio of weight to height squared and categorized using World Health Organization standards: < 25, 25-29.9, 30-34.9, and ≥ 35.
• CUN-BAE was calculated using a specific equation and categorized according to the estimated percentage of body fat: < 35%, 35%-39.9%, 40%-44.9%, and ≥ 45%.
• Odds ratios (ORs) were estimated with 95% CIs for both measures (BMI and CUN-BAE) for breast cancer cases using unconditional logistic regression.

TAKEAWAY:

• Excess body weight attributable to the risk for breast cancer was 23% when assessed using a BMI value > 30 and 38% when assessed using a CUN-BAE value > 40% body fat.
• Hormone receptor stratification showed that these differences in population-attributable fractions were only observed in hormone receptor–positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE.
• The highest categories of CUN-BAE showed an increase in the risk for postmenopausal breast cancer (OR, 2.13 for body fat ≥ 45% compared with the reference category < 35%).
• No similar trend was observed for BMI, as the gradient declined after a BMI ≥ 35.

IN PRACTICE:

“The results of our study indicate that excess body fat is a significant risk factor for hormone receptor–positive breast cancer in postmenopausal women. Our findings suggest that the population impact could be underestimated when using traditional BMI estimates, and that more accurate measures of body fat, such as CUN-BAE, should be considered,” the authors of the study wrote.

SOURCE:

This study was led by Verónica Dávila-Batista, University of Las Palmas de Gran Canaria in Las Palmas de Gran Canaria, Spain. It was published online in Journal of Epidemiology and Community Health.

LIMITATIONS:

The case-control design of the study may have limited the ability to establish causal relationships. BMI was self-reported at the time of the interview for controls and 1 year before diagnosis for cancer cases, which may have introduced recall bias. The formula for CUN-BAE was calculated from a sedentary convenience sample, which may not have been representative of the general population. The small sample size of cases that did not express hormone receptors was another limitation. The study’s findings may not be generalizable to non-White populations as non-White participants were excluded.

DISCLOSURES:

Dávila-Batista disclosed receiving grants from the Carlos III Health Institute. 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 appeared on Medscape.com.

TOPLINE:

Excess body fat in postmenopausal women is linked to a higher risk for breast cancer, with the Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) showing a stronger association than body mass index (BMI). Accurate body fat measures are crucial for effective cancer prevention.

METHODOLOGY:

• Researchers conducted a case-control study including 1033 breast cancer cases and 1143 postmenopausal population controls from the MCC-Spain study.
• Participants were aged 20-85 years. BMI was calculated as the ratio of weight to height squared and categorized using World Health Organization standards: < 25, 25-29.9, 30-34.9, and ≥ 35.
• CUN-BAE was calculated using a specific equation and categorized according to the estimated percentage of body fat: < 35%, 35%-39.9%, 40%-44.9%, and ≥ 45%.
• Odds ratios (ORs) were estimated with 95% CIs for both measures (BMI and CUN-BAE) for breast cancer cases using unconditional logistic regression.

TAKEAWAY:

• Excess body weight attributable to the risk for breast cancer was 23% when assessed using a BMI value > 30 and 38% when assessed using a CUN-BAE value > 40% body fat.
• Hormone receptor stratification showed that these differences in population-attributable fractions were only observed in hormone receptor–positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE.
• The highest categories of CUN-BAE showed an increase in the risk for postmenopausal breast cancer (OR, 2.13 for body fat ≥ 45% compared with the reference category < 35%).
• No similar trend was observed for BMI, as the gradient declined after a BMI ≥ 35.

IN PRACTICE:

“The results of our study indicate that excess body fat is a significant risk factor for hormone receptor–positive breast cancer in postmenopausal women. Our findings suggest that the population impact could be underestimated when using traditional BMI estimates, and that more accurate measures of body fat, such as CUN-BAE, should be considered,” the authors of the study wrote.

SOURCE:

This study was led by Verónica Dávila-Batista, University of Las Palmas de Gran Canaria in Las Palmas de Gran Canaria, Spain. It was published online in Journal of Epidemiology and Community Health.

LIMITATIONS:

The case-control design of the study may have limited the ability to establish causal relationships. BMI was self-reported at the time of the interview for controls and 1 year before diagnosis for cancer cases, which may have introduced recall bias. The formula for CUN-BAE was calculated from a sedentary convenience sample, which may not have been representative of the general population. The small sample size of cases that did not express hormone receptors was another limitation. The study’s findings may not be generalizable to non-White populations as non-White participants were excluded.

DISCLOSURES:

Dávila-Batista disclosed receiving grants from the Carlos III Health Institute. 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 appeared on Medscape.com.