Adults aged 60 or older who took high monthly doses of vitamin D for 5 years failed to show a significant drop in risk for cardiovascular (CV) events in general but may have benefited for other CV outcomes in an analysis from a large prospective randomized trial.

Risk reductions on vitamin D in the mixed primary- and secondary-prevention population were slight in absolute terms but reached a significant 19% in the case of myocardial infarction (MI).

Over 5 years, 6.6% of those in placebo group experienced major CV events, the primary endpoint, compared with 6% in the vitamin D group. The difference, which corresponded to 5.8 fewer events per 1,000 participants, was short of significance in adjusted analysis.

Benefits minimal

The 21,302 patients in the D-Health trial, conducted in Australia from 2014 to 2020, were randomly assigned double-blind to receive either placebo or vitamin D3 supplements for a planned 5 years. They were instructed to take one placebo or vitamin D capsule per month, each active capsule containing 60,000 IU of the vitamin.

People with self-reported hypercalcemia, hyperparathyroidism, kidney stones, osteomalacia, or sarcoidosis, and those taking greater than 500 IU/day vitamin D supplements were excluded from enrollment. Participants ranged in age from 60 to 84 at randomization and 46% were women.

With 80% of the 10,658 participants assigned to vitamin D and 78% of the 10,644 control subjects completing the 5-year intervention, 6% and 6.6%, respectively, met the primary endpoint of a major CV event, defined as MI, stroke, or coronary revascularization.

The hazard ratio for a vitamin-D effect on the primary endpoint was 0.91 (95% confidence interval, 0.81-1.01). The number needed to treat to avoid one major CV event was 172.

The HR for MI was 0.81 (95% CI, 0.67-0.98), for coronary intervention was 0.89 (0.78-1.01), and for stroke was 0.99 (0.80-1.23).

Adverse event rates were similar at about 16% in both groups and included hypercalcemia, kidney stones, gastrointestinal issues, and skin rash.

Vitamin D at moderate dosages has low toxicity, Dr. Neale said, “so I think it would be reasonable for clinicians to consider supplementing elderly people who do not have contraindications, particularly those who have underlying risk factors for CV disease,” Dr. Neale said. But patients should be told that the evidence for such a recommendation is not strong, so they can make an informed decision, she added.

Also, in general “we would be cautious about extrapolating to formulations other than those used in the study,” Dr. Neale said. “However, in this case, I think it would be reasonable to extrapolate to the use of 2,000 IU per day taken orally, provided that the same adherence can be maintained for a lengthy period.”
 

Chance findings?

Based on the current study and in light of prior research, “it is premature to recommend vitamin D supplementation for cardiovascular disease prevention specifically,” Nour Makarem, PhD, of the Mailman School of Public Health, Columbia University, New York, said in an interview.

“Prior clinical trials did not show an association between vitamin D supplementation and cardiovascular events,” observed Dr. Makarem, who is not affiliated with the current study. Also, she agreed, it looked at “multiple outcomes, which increases the likelihood that findings may be due to chance.”

She added that the study’s authors observed a possible vitamin-D protective effect “among people who were vitamin D sufficient at baseline but not among those who were insufficient. It is important to interpret this finding with caution because they used predicted, not measured, vitamin D status for these analyses.”

There’s a need for studies in other populations, including younger persons and “particularly populations with higher rates of vitamin D deficiency,” Dr. Makarem observed. Also, further research should aim to “understand the interactions between vitamin D supplementation and cardiovascular medications, including statins.” 

The D-Health Trial is funded by National Health and Medical Research Council project grants. Dr. Neale was supported by fellowships from the NHMRC. Neither she nor Dr. Makarem reported any relevant financial relationships.

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

Adults aged 60 or older who took high monthly doses of vitamin D for 5 years failed to show a significant drop in risk for cardiovascular (CV) events in general but may have benefited for other CV outcomes in an analysis from a large prospective randomized trial.

Risk reductions on vitamin D in the mixed primary- and secondary-prevention population were slight in absolute terms but reached a significant 19% in the case of myocardial infarction (MI).

Over 5 years, 6.6% of those in placebo group experienced major CV events, the primary endpoint, compared with 6% in the vitamin D group. The difference, which corresponded to 5.8 fewer events per 1,000 participants, was short of significance in adjusted analysis.

Benefits minimal

The 21,302 patients in the D-Health trial, conducted in Australia from 2014 to 2020, were randomly assigned double-blind to receive either placebo or vitamin D3 supplements for a planned 5 years. They were instructed to take one placebo or vitamin D capsule per month, each active capsule containing 60,000 IU of the vitamin.

People with self-reported hypercalcemia, hyperparathyroidism, kidney stones, osteomalacia, or sarcoidosis, and those taking greater than 500 IU/day vitamin D supplements were excluded from enrollment. Participants ranged in age from 60 to 84 at randomization and 46% were women.

With 80% of the 10,658 participants assigned to vitamin D and 78% of the 10,644 control subjects completing the 5-year intervention, 6% and 6.6%, respectively, met the primary endpoint of a major CV event, defined as MI, stroke, or coronary revascularization.

The hazard ratio for a vitamin-D effect on the primary endpoint was 0.91 (95% confidence interval, 0.81-1.01). The number needed to treat to avoid one major CV event was 172.

The HR for MI was 0.81 (95% CI, 0.67-0.98), for coronary intervention was 0.89 (0.78-1.01), and for stroke was 0.99 (0.80-1.23).

Adverse event rates were similar at about 16% in both groups and included hypercalcemia, kidney stones, gastrointestinal issues, and skin rash.

Vitamin D at moderate dosages has low toxicity, Dr. Neale said, “so I think it would be reasonable for clinicians to consider supplementing elderly people who do not have contraindications, particularly those who have underlying risk factors for CV disease,” Dr. Neale said. But patients should be told that the evidence for such a recommendation is not strong, so they can make an informed decision, she added.

Also, in general “we would be cautious about extrapolating to formulations other than those used in the study,” Dr. Neale said. “However, in this case, I think it would be reasonable to extrapolate to the use of 2,000 IU per day taken orally, provided that the same adherence can be maintained for a lengthy period.”
 

Chance findings?

Based on the current study and in light of prior research, “it is premature to recommend vitamin D supplementation for cardiovascular disease prevention specifically,” Nour Makarem, PhD, of the Mailman School of Public Health, Columbia University, New York, said in an interview.

“Prior clinical trials did not show an association between vitamin D supplementation and cardiovascular events,” observed Dr. Makarem, who is not affiliated with the current study. Also, she agreed, it looked at “multiple outcomes, which increases the likelihood that findings may be due to chance.”

She added that the study’s authors observed a possible vitamin-D protective effect “among people who were vitamin D sufficient at baseline but not among those who were insufficient. It is important to interpret this finding with caution because they used predicted, not measured, vitamin D status for these analyses.”

There’s a need for studies in other populations, including younger persons and “particularly populations with higher rates of vitamin D deficiency,” Dr. Makarem observed. Also, further research should aim to “understand the interactions between vitamin D supplementation and cardiovascular medications, including statins.” 

The D-Health Trial is funded by National Health and Medical Research Council project grants. Dr. Neale was supported by fellowships from the NHMRC. Neither she nor Dr. Makarem reported any relevant financial relationships.

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

Adults aged 60 or older who took high monthly doses of vitamin D for 5 years failed to show a significant drop in risk for cardiovascular (CV) events in general but may have benefited for other CV outcomes in an analysis from a large prospective randomized trial.

Risk reductions on vitamin D in the mixed primary- and secondary-prevention population were slight in absolute terms but reached a significant 19% in the case of myocardial infarction (MI).

Over 5 years, 6.6% of those in placebo group experienced major CV events, the primary endpoint, compared with 6% in the vitamin D group. The difference, which corresponded to 5.8 fewer events per 1,000 participants, was short of significance in adjusted analysis.

Benefits minimal

The 21,302 patients in the D-Health trial, conducted in Australia from 2014 to 2020, were randomly assigned double-blind to receive either placebo or vitamin D3 supplements for a planned 5 years. They were instructed to take one placebo or vitamin D capsule per month, each active capsule containing 60,000 IU of the vitamin.

People with self-reported hypercalcemia, hyperparathyroidism, kidney stones, osteomalacia, or sarcoidosis, and those taking greater than 500 IU/day vitamin D supplements were excluded from enrollment. Participants ranged in age from 60 to 84 at randomization and 46% were women.

With 80% of the 10,658 participants assigned to vitamin D and 78% of the 10,644 control subjects completing the 5-year intervention, 6% and 6.6%, respectively, met the primary endpoint of a major CV event, defined as MI, stroke, or coronary revascularization.

The hazard ratio for a vitamin-D effect on the primary endpoint was 0.91 (95% confidence interval, 0.81-1.01). The number needed to treat to avoid one major CV event was 172.

The HR for MI was 0.81 (95% CI, 0.67-0.98), for coronary intervention was 0.89 (0.78-1.01), and for stroke was 0.99 (0.80-1.23).

Adverse event rates were similar at about 16% in both groups and included hypercalcemia, kidney stones, gastrointestinal issues, and skin rash.

Vitamin D at moderate dosages has low toxicity, Dr. Neale said, “so I think it would be reasonable for clinicians to consider supplementing elderly people who do not have contraindications, particularly those who have underlying risk factors for CV disease,” Dr. Neale said. But patients should be told that the evidence for such a recommendation is not strong, so they can make an informed decision, she added.

Also, in general “we would be cautious about extrapolating to formulations other than those used in the study,” Dr. Neale said. “However, in this case, I think it would be reasonable to extrapolate to the use of 2,000 IU per day taken orally, provided that the same adherence can be maintained for a lengthy period.”
 

Chance findings?

Based on the current study and in light of prior research, “it is premature to recommend vitamin D supplementation for cardiovascular disease prevention specifically,” Nour Makarem, PhD, of the Mailman School of Public Health, Columbia University, New York, said in an interview.

“Prior clinical trials did not show an association between vitamin D supplementation and cardiovascular events,” observed Dr. Makarem, who is not affiliated with the current study. Also, she agreed, it looked at “multiple outcomes, which increases the likelihood that findings may be due to chance.”

She added that the study’s authors observed a possible vitamin-D protective effect “among people who were vitamin D sufficient at baseline but not among those who were insufficient. It is important to interpret this finding with caution because they used predicted, not measured, vitamin D status for these analyses.”

There’s a need for studies in other populations, including younger persons and “particularly populations with higher rates of vitamin D deficiency,” Dr. Makarem observed. Also, further research should aim to “understand the interactions between vitamin D supplementation and cardiovascular medications, including statins.” 

The D-Health Trial is funded by National Health and Medical Research Council project grants. Dr. Neale was supported by fellowships from the NHMRC. Neither she nor Dr. Makarem reported any relevant financial relationships.

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

SAN DIEGO – Survodutide, a dual glucagonlike peptide–1 (GLP-1) and glucagon receptor agonist, led to “striking” weight loss in a phase 2 dosing trial in people with overweight/obesity but without type 2 diabetes.

Close to 40% of people who were taking the highest dose lost 20% or more of their starting weight at 46 weeks, Carel Le Roux, MBChB, PhD, reported at the annual scientific sessions of the American Diabetes Association.

Boehringer Ingelheim and Zealand Pharma are developing survodutide (formerly BI 456906) to treat obesity and nonalcoholic fatty liver disease (NAFLD), according to a company press release.

Glucagon receptor agonism increases energy expenditure, and GLP-1 receptor agonism inhibits appetite, both part of the mechanism of action, Dr. Le Roux, a professor at University College in Dublin, explained.

The trial showed a “striking” and clear dose-response in terms of weight loss, with no new unexpected safety signals, he reported.

Invited to comment, session moderator Elisabetta Patorno, MD, DrPH, noted that “Obesity is one of the main risk factors for [type 2] diabetes.”

“It’s very stimulating to see this new medication class make such a big impact on weight loss in such a short amount of time,” Dr. Patorno, associate professor of medicine at Harvard Medical School, Boston, said in an interview. However, whether the weight loss can be maintained over time remains to be determined in further research, she said.

Head-to-head weight-loss studies of the dual agonist survodutide versus the mono GLP-1 agonist semaglutide (Ozempic, Wegovy, Novo Nordisk) have not been conducted, Dr. Le Roux said during a press briefing.

“What we don’t know is if somebody doesn’t respond to [weight-loss drug] product A, will they respond to product B?” he said. Because survodutide acts on two types of receptors, “you could argue that you would not only increase the absolute amount of weight but you might also increase the number of patients who would respond, but that’s theoretical at the moment,” he explained.
 

Close to 400 patients, five doses, 46-week endpoint

The researchers randomized 387 adults aged 18-75 who had a body mass index (BMI) ≥ 27 kg/m² (overweight or obesity) without type 2 diabetes at sites in North America, Europe, Australia/New Zealand, and Asia.

On average, patients were 49 years old with a body weight of 106 kg (234 lb) and a BMI of 37 kg/m², and 68% were women.

They were randomized to receive a planned weekly subcutaneous maintenance survodutide dose of 0.6 mg (76 patients), 2.4 mg (78 patients), 3.6 mg (76 patients), or 4.8 mg (76 patients), or placebo (77 patients).

The dose was escalated rapidly (monthly) during a 20-week dose-escalation phase, followed by a 26-week maintenance phase.

Patients who did not reach the planned dose remained on a lower dose during the maintenance phase.

In terms of actual treatment, during the maintenance phase, 76 patients were taking placebo, 88 patients were taking 0.6 mg survodutide, 92 were taking 2.4 mg survodutide, 71 were taking 3.6 mg survodutide, and 54 were taking 4.8 mg survodutide, all given as weekly subcutaneous injections.

Primary outcome was the percentage change in body weight from baseline to week 46.

Secondary outcomes included the percentage of patients who reached a body weight reduction of ≥ 5%, ≥ 10%, and ≥ 15% from baseline to week 46.

Mean weight loss at 46 weeks in the planned treatment analysis (where some patients in each group were taking a lower than planned dose during maintenance) was 6.2% in the 0.6-mg survodutide group, 12.5% in the 2.4-mg group, 13.2% in the 3.6-mg group, 14.9% in the 4.8-mg group, and 2.8% in the placebo group.

Among participants who did reach and stay on their assigned dose during the maintenance phase, average weight loss was 6.8% in the 0.6-mg survodutide group,13.6% with 2.4 mg survodutide,16.7% with 3.6 mg survodutide, 18.6% with 4.8 mg survodutide, and 2.0% with placebo.

That is, patients reaching and staying on a weekly subcutaneous dose of 4.8 mg survodutide lost 18.6% of their body weight at 46 weeks, Dr. Le Roux emphasized.

In terms of secondary outcomes, in the group of patients with a planned weekly dose of 4.8 mg survodutide, 83%, 69%, and 55% attained weight loss of ≥ 5%, ≥ 10%, and ≥ 15% of their initial weight, respectively, at 46 weeks.

In the group of patients with an actual weekly dose of 4.8 mg survodutide, 98%, 82%, and 67% attained weight loss of ≥ 5%, ≥ 10%, and ≥ 15% of their initial weight, respectively, at 46 weeks.

Moreover, 33% of patients in the group with a planned weekly dose of 4.8 mg survodutide and 38% of patients with an actual weekly dose of 4.8 mg survodutide lost ≥ 20% of their baseline body weight by week 46.

Adverse events occurred in 91% of patients in the survodutide groups and 75% in the placebo group. The most common side effects were nausea, vomiting, diarrhea, and constipation, which were mostly mild to moderate and mainly occurred during dose escalation. These effects may potentially be mitigated by more gradual dose escalation, Dr. Le Roux said.

There were no unexpected safety or tolerability concerns, and no serious drug-related adverse events.

These “encouraging data” support further study of survodutide for weight loss in larger phase 3 trials, Dr. Le Roux and colleagues conclude.
 

Survodutide has FDA fast track designation for NASH

Survodutide has received U.S. Food and Drug Administration Fast Track Designation for adults with NASH. The drug is currently being evaluated in a phase 2 study in adults with NASH and stages F1/F2/F3 liver fibrosis, with trial completion expected in the last quarter of 2023.

The current trial was funded by Boehringer Ingelheim. Dr. Le Roux has reported being on an advisory panel for Boehringer Ingelheim and being on advisory panels and receiving research funding from multiple other pharmaceutical companies. Two study authors are Boehringer Ingelheim employees.

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

SAN DIEGO – Survodutide, a dual glucagonlike peptide–1 (GLP-1) and glucagon receptor agonist, led to “striking” weight loss in a phase 2 dosing trial in people with overweight/obesity but without type 2 diabetes.

Close to 40% of people who were taking the highest dose lost 20% or more of their starting weight at 46 weeks, Carel Le Roux, MBChB, PhD, reported at the annual scientific sessions of the American Diabetes Association.

Boehringer Ingelheim and Zealand Pharma are developing survodutide (formerly BI 456906) to treat obesity and nonalcoholic fatty liver disease (NAFLD), according to a company press release.

Glucagon receptor agonism increases energy expenditure, and GLP-1 receptor agonism inhibits appetite, both part of the mechanism of action, Dr. Le Roux, a professor at University College in Dublin, explained.

The trial showed a “striking” and clear dose-response in terms of weight loss, with no new unexpected safety signals, he reported.

Invited to comment, session moderator Elisabetta Patorno, MD, DrPH, noted that “Obesity is one of the main risk factors for [type 2] diabetes.”

“It’s very stimulating to see this new medication class make such a big impact on weight loss in such a short amount of time,” Dr. Patorno, associate professor of medicine at Harvard Medical School, Boston, said in an interview. However, whether the weight loss can be maintained over time remains to be determined in further research, she said.

Head-to-head weight-loss studies of the dual agonist survodutide versus the mono GLP-1 agonist semaglutide (Ozempic, Wegovy, Novo Nordisk) have not been conducted, Dr. Le Roux said during a press briefing.

“What we don’t know is if somebody doesn’t respond to [weight-loss drug] product A, will they respond to product B?” he said. Because survodutide acts on two types of receptors, “you could argue that you would not only increase the absolute amount of weight but you might also increase the number of patients who would respond, but that’s theoretical at the moment,” he explained.
 

Close to 400 patients, five doses, 46-week endpoint

The researchers randomized 387 adults aged 18-75 who had a body mass index (BMI) ≥ 27 kg/m² (overweight or obesity) without type 2 diabetes at sites in North America, Europe, Australia/New Zealand, and Asia.

On average, patients were 49 years old with a body weight of 106 kg (234 lb) and a BMI of 37 kg/m², and 68% were women.

They were randomized to receive a planned weekly subcutaneous maintenance survodutide dose of 0.6 mg (76 patients), 2.4 mg (78 patients), 3.6 mg (76 patients), or 4.8 mg (76 patients), or placebo (77 patients).

The dose was escalated rapidly (monthly) during a 20-week dose-escalation phase, followed by a 26-week maintenance phase.

Patients who did not reach the planned dose remained on a lower dose during the maintenance phase.

In terms of actual treatment, during the maintenance phase, 76 patients were taking placebo, 88 patients were taking 0.6 mg survodutide, 92 were taking 2.4 mg survodutide, 71 were taking 3.6 mg survodutide, and 54 were taking 4.8 mg survodutide, all given as weekly subcutaneous injections.

Primary outcome was the percentage change in body weight from baseline to week 46.

Secondary outcomes included the percentage of patients who reached a body weight reduction of ≥ 5%, ≥ 10%, and ≥ 15% from baseline to week 46.

Mean weight loss at 46 weeks in the planned treatment analysis (where some patients in each group were taking a lower than planned dose during maintenance) was 6.2% in the 0.6-mg survodutide group, 12.5% in the 2.4-mg group, 13.2% in the 3.6-mg group, 14.9% in the 4.8-mg group, and 2.8% in the placebo group.

Among participants who did reach and stay on their assigned dose during the maintenance phase, average weight loss was 6.8% in the 0.6-mg survodutide group,13.6% with 2.4 mg survodutide,16.7% with 3.6 mg survodutide, 18.6% with 4.8 mg survodutide, and 2.0% with placebo.

That is, patients reaching and staying on a weekly subcutaneous dose of 4.8 mg survodutide lost 18.6% of their body weight at 46 weeks, Dr. Le Roux emphasized.

In terms of secondary outcomes, in the group of patients with a planned weekly dose of 4.8 mg survodutide, 83%, 69%, and 55% attained weight loss of ≥ 5%, ≥ 10%, and ≥ 15% of their initial weight, respectively, at 46 weeks.

In the group of patients with an actual weekly dose of 4.8 mg survodutide, 98%, 82%, and 67% attained weight loss of ≥ 5%, ≥ 10%, and ≥ 15% of their initial weight, respectively, at 46 weeks.

Moreover, 33% of patients in the group with a planned weekly dose of 4.8 mg survodutide and 38% of patients with an actual weekly dose of 4.8 mg survodutide lost ≥ 20% of their baseline body weight by week 46.

Adverse events occurred in 91% of patients in the survodutide groups and 75% in the placebo group. The most common side effects were nausea, vomiting, diarrhea, and constipation, which were mostly mild to moderate and mainly occurred during dose escalation. These effects may potentially be mitigated by more gradual dose escalation, Dr. Le Roux said.

There were no unexpected safety or tolerability concerns, and no serious drug-related adverse events.

These “encouraging data” support further study of survodutide for weight loss in larger phase 3 trials, Dr. Le Roux and colleagues conclude.
 

Survodutide has FDA fast track designation for NASH

Survodutide has received U.S. Food and Drug Administration Fast Track Designation for adults with NASH. The drug is currently being evaluated in a phase 2 study in adults with NASH and stages F1/F2/F3 liver fibrosis, with trial completion expected in the last quarter of 2023.

The current trial was funded by Boehringer Ingelheim. Dr. Le Roux has reported being on an advisory panel for Boehringer Ingelheim and being on advisory panels and receiving research funding from multiple other pharmaceutical companies. Two study authors are Boehringer Ingelheim employees.

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

SAN DIEGO – Survodutide, a dual glucagonlike peptide–1 (GLP-1) and glucagon receptor agonist, led to “striking” weight loss in a phase 2 dosing trial in people with overweight/obesity but without type 2 diabetes.

Close to 40% of people who were taking the highest dose lost 20% or more of their starting weight at 46 weeks, Carel Le Roux, MBChB, PhD, reported at the annual scientific sessions of the American Diabetes Association.

Boehringer Ingelheim and Zealand Pharma are developing survodutide (formerly BI 456906) to treat obesity and nonalcoholic fatty liver disease (NAFLD), according to a company press release.

Glucagon receptor agonism increases energy expenditure, and GLP-1 receptor agonism inhibits appetite, both part of the mechanism of action, Dr. Le Roux, a professor at University College in Dublin, explained.

The trial showed a “striking” and clear dose-response in terms of weight loss, with no new unexpected safety signals, he reported.

Invited to comment, session moderator Elisabetta Patorno, MD, DrPH, noted that “Obesity is one of the main risk factors for [type 2] diabetes.”

“It’s very stimulating to see this new medication class make such a big impact on weight loss in such a short amount of time,” Dr. Patorno, associate professor of medicine at Harvard Medical School, Boston, said in an interview. However, whether the weight loss can be maintained over time remains to be determined in further research, she said.

Head-to-head weight-loss studies of the dual agonist survodutide versus the mono GLP-1 agonist semaglutide (Ozempic, Wegovy, Novo Nordisk) have not been conducted, Dr. Le Roux said during a press briefing.

“What we don’t know is if somebody doesn’t respond to [weight-loss drug] product A, will they respond to product B?” he said. Because survodutide acts on two types of receptors, “you could argue that you would not only increase the absolute amount of weight but you might also increase the number of patients who would respond, but that’s theoretical at the moment,” he explained.
 

Close to 400 patients, five doses, 46-week endpoint

The researchers randomized 387 adults aged 18-75 who had a body mass index (BMI) ≥ 27 kg/m² (overweight or obesity) without type 2 diabetes at sites in North America, Europe, Australia/New Zealand, and Asia.

On average, patients were 49 years old with a body weight of 106 kg (234 lb) and a BMI of 37 kg/m², and 68% were women.

They were randomized to receive a planned weekly subcutaneous maintenance survodutide dose of 0.6 mg (76 patients), 2.4 mg (78 patients), 3.6 mg (76 patients), or 4.8 mg (76 patients), or placebo (77 patients).

The dose was escalated rapidly (monthly) during a 20-week dose-escalation phase, followed by a 26-week maintenance phase.

Patients who did not reach the planned dose remained on a lower dose during the maintenance phase.

In terms of actual treatment, during the maintenance phase, 76 patients were taking placebo, 88 patients were taking 0.6 mg survodutide, 92 were taking 2.4 mg survodutide, 71 were taking 3.6 mg survodutide, and 54 were taking 4.8 mg survodutide, all given as weekly subcutaneous injections.

Primary outcome was the percentage change in body weight from baseline to week 46.

Secondary outcomes included the percentage of patients who reached a body weight reduction of ≥ 5%, ≥ 10%, and ≥ 15% from baseline to week 46.

Mean weight loss at 46 weeks in the planned treatment analysis (where some patients in each group were taking a lower than planned dose during maintenance) was 6.2% in the 0.6-mg survodutide group, 12.5% in the 2.4-mg group, 13.2% in the 3.6-mg group, 14.9% in the 4.8-mg group, and 2.8% in the placebo group.

Among participants who did reach and stay on their assigned dose during the maintenance phase, average weight loss was 6.8% in the 0.6-mg survodutide group,13.6% with 2.4 mg survodutide,16.7% with 3.6 mg survodutide, 18.6% with 4.8 mg survodutide, and 2.0% with placebo.

That is, patients reaching and staying on a weekly subcutaneous dose of 4.8 mg survodutide lost 18.6% of their body weight at 46 weeks, Dr. Le Roux emphasized.

In terms of secondary outcomes, in the group of patients with a planned weekly dose of 4.8 mg survodutide, 83%, 69%, and 55% attained weight loss of ≥ 5%, ≥ 10%, and ≥ 15% of their initial weight, respectively, at 46 weeks.

In the group of patients with an actual weekly dose of 4.8 mg survodutide, 98%, 82%, and 67% attained weight loss of ≥ 5%, ≥ 10%, and ≥ 15% of their initial weight, respectively, at 46 weeks.

Moreover, 33% of patients in the group with a planned weekly dose of 4.8 mg survodutide and 38% of patients with an actual weekly dose of 4.8 mg survodutide lost ≥ 20% of their baseline body weight by week 46.

Adverse events occurred in 91% of patients in the survodutide groups and 75% in the placebo group. The most common side effects were nausea, vomiting, diarrhea, and constipation, which were mostly mild to moderate and mainly occurred during dose escalation. These effects may potentially be mitigated by more gradual dose escalation, Dr. Le Roux said.

There were no unexpected safety or tolerability concerns, and no serious drug-related adverse events.

These “encouraging data” support further study of survodutide for weight loss in larger phase 3 trials, Dr. Le Roux and colleagues conclude.
 

Survodutide has FDA fast track designation for NASH

Survodutide has received U.S. Food and Drug Administration Fast Track Designation for adults with NASH. The drug is currently being evaluated in a phase 2 study in adults with NASH and stages F1/F2/F3 liver fibrosis, with trial completion expected in the last quarter of 2023.

The current trial was funded by Boehringer Ingelheim. Dr. Le Roux has reported being on an advisory panel for Boehringer Ingelheim and being on advisory panels and receiving research funding from multiple other pharmaceutical companies. Two study authors are Boehringer Ingelheim employees.

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

TOPLINE:

The availability of medical cannabis has little effect on prescription rates of opioids, nonopioid pain medicines, and other pain interventions, according to a new study published in Annals of Internal Medicine.

METHODOLOGY:

• Cannabis advocates suggest that legal medical cannabis can be a partial solution to the opioid overdose crisis in the United States, which claimed more than 80,000 lives in 2021.
• Current research on how legalized cannabis reduces dependence on prescription pain medication is inconclusive.
• Researchers examined insurance data for the period 2010-2022 from 583,820 adults with chronic noncancer pain.
• They drew from 12 states in which medical cannabis is legal and from 17 in which it is not legal to create a hypothetical randomized trial. The control group simulated prescription rates where medical cannabis was not available.
• Authors evaluated prescription rates for opioids, nonopioid painkillers, and pain interventions, such as physical therapy.

TAKEAWAY:

In a given month during the first 3 years after legalization, for states with medical cannabis, the investigators found the following:

• There was an average decrease of 1.07 percentage points in the proportion of patients who received any opioid prescription, compared to a 1.12 percentage point decrease in the control group.
• There was an average increase of 1.14 percentage points in the proportion of patients who received any nonopioid prescription painkiller, compared to a 1.19 percentage point increase in the control group.
• There was a 0.17 percentage point decrease in the proportion of patients who received any pain procedure, compared to a 0.001 percentage point decrease in the control group.

IN PRACTICE:

“This study did not identify important effects of medical cannabis laws on receipt of opioid or nonopioid pain treatment among patients with chronic noncancer pain,” according to the researchers.

SOURCE:

The study was led by Emma E. McGinty, PhD, of Weill Cornell Medicine, New York, and was funded by the National Institute on Drug Abuse.

LIMITATIONS:

The investigators used a simulated, hypothetical control group that was based on untestable assumptions. They also drew data solely from insured individuals, so the study does not necessarily represent uninsured populations.

DISCLOSURES:

Dr. McGinty reports receiving a grant from NIDA. Her coauthors reported receiving support from NIDA and the National Institutes of Health.

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

TOPLINE:

The availability of medical cannabis has little effect on prescription rates of opioids, nonopioid pain medicines, and other pain interventions, according to a new study published in Annals of Internal Medicine.

METHODOLOGY:

• Cannabis advocates suggest that legal medical cannabis can be a partial solution to the opioid overdose crisis in the United States, which claimed more than 80,000 lives in 2021.
• Current research on how legalized cannabis reduces dependence on prescription pain medication is inconclusive.
• Researchers examined insurance data for the period 2010-2022 from 583,820 adults with chronic noncancer pain.
• They drew from 12 states in which medical cannabis is legal and from 17 in which it is not legal to create a hypothetical randomized trial. The control group simulated prescription rates where medical cannabis was not available.
• Authors evaluated prescription rates for opioids, nonopioid painkillers, and pain interventions, such as physical therapy.

TAKEAWAY:

In a given month during the first 3 years after legalization, for states with medical cannabis, the investigators found the following:

• There was an average decrease of 1.07 percentage points in the proportion of patients who received any opioid prescription, compared to a 1.12 percentage point decrease in the control group.
• There was an average increase of 1.14 percentage points in the proportion of patients who received any nonopioid prescription painkiller, compared to a 1.19 percentage point increase in the control group.
• There was a 0.17 percentage point decrease in the proportion of patients who received any pain procedure, compared to a 0.001 percentage point decrease in the control group.

IN PRACTICE:

“This study did not identify important effects of medical cannabis laws on receipt of opioid or nonopioid pain treatment among patients with chronic noncancer pain,” according to the researchers.

SOURCE:

The study was led by Emma E. McGinty, PhD, of Weill Cornell Medicine, New York, and was funded by the National Institute on Drug Abuse.

LIMITATIONS:

The investigators used a simulated, hypothetical control group that was based on untestable assumptions. They also drew data solely from insured individuals, so the study does not necessarily represent uninsured populations.

DISCLOSURES:

Dr. McGinty reports receiving a grant from NIDA. Her coauthors reported receiving support from NIDA and the National Institutes of Health.

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

TOPLINE:

The availability of medical cannabis has little effect on prescription rates of opioids, nonopioid pain medicines, and other pain interventions, according to a new study published in Annals of Internal Medicine.

METHODOLOGY:

• Cannabis advocates suggest that legal medical cannabis can be a partial solution to the opioid overdose crisis in the United States, which claimed more than 80,000 lives in 2021.
• Current research on how legalized cannabis reduces dependence on prescription pain medication is inconclusive.
• Researchers examined insurance data for the period 2010-2022 from 583,820 adults with chronic noncancer pain.
• They drew from 12 states in which medical cannabis is legal and from 17 in which it is not legal to create a hypothetical randomized trial. The control group simulated prescription rates where medical cannabis was not available.
• Authors evaluated prescription rates for opioids, nonopioid painkillers, and pain interventions, such as physical therapy.

TAKEAWAY:

In a given month during the first 3 years after legalization, for states with medical cannabis, the investigators found the following:

• There was an average decrease of 1.07 percentage points in the proportion of patients who received any opioid prescription, compared to a 1.12 percentage point decrease in the control group.
• There was an average increase of 1.14 percentage points in the proportion of patients who received any nonopioid prescription painkiller, compared to a 1.19 percentage point increase in the control group.
• There was a 0.17 percentage point decrease in the proportion of patients who received any pain procedure, compared to a 0.001 percentage point decrease in the control group.

IN PRACTICE:

“This study did not identify important effects of medical cannabis laws on receipt of opioid or nonopioid pain treatment among patients with chronic noncancer pain,” according to the researchers.

SOURCE:

The study was led by Emma E. McGinty, PhD, of Weill Cornell Medicine, New York, and was funded by the National Institute on Drug Abuse.

LIMITATIONS:

The investigators used a simulated, hypothetical control group that was based on untestable assumptions. They also drew data solely from insured individuals, so the study does not necessarily represent uninsured populations.

DISCLOSURES:

Dr. McGinty reports receiving a grant from NIDA. Her coauthors reported receiving support from NIDA and the National Institutes of Health.

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

Lean muscle mass may offer protection against the development of Alzheimer’s disease (AD), new research suggests.

Investigators analyzed data on more than 450,000 participants in the UK Biobank as well as two independent samples of more than 320,000 individuals with and without AD, and more than 260,000 individuals participating in a separate genes and intelligence study.

They estimated lean muscle and fat tissue in the arms and legs and found, in adjusted analyses, over 500 genetic variants associated with lean mass.

On average, higher genetically lean mass was associated with a “modest but statistically robust” reduction in AD risk and with superior performance on cognitive tasks.

“Using human genetic data, we found evidence for a protective effect of lean mass on risk of Alzheimer’s disease,” study investigators Iyas Daghlas, MD, a resident in the department of neurology, University of California, San Francisco, said in an interview.

Although “clinical intervention studies are needed to confirm this effect, this study supports current recommendations to maintain a healthy lifestyle to prevent dementia,” he said.

The study was published online in BMJ Medicine.
 

Naturally randomized research

Several measures of body composition have been investigated for their potential association with AD. Lean mass – a “proxy for muscle mass, defined as the difference between total mass and fat mass” – has been shown to be reduced in patients with AD compared with controls, the researchers noted.

“Previous research studies have tested the relationship of body mass index with Alzheimer’s disease and did not find evidence for a causal effect,” Dr. Daghlas said. “We wondered whether BMI was an insufficiently granular measure and hypothesized that disaggregating body mass into lean mass and fat mass could reveal novel associations with disease.”

Most studies have used case-control designs, which might be biased by “residual confounding or reverse causality.” Naturally randomized data “may be used as an alternative to conventional observational studies to investigate causal relations between risk factors and diseases,” the researchers wrote.

In particular, the Mendelian randomization (MR) paradigm randomly allocates germline genetic variants and uses them as proxies for a specific risk factor.

MR “is a technique that permits researchers to investigate cause-and-effect relationships using human genetic data,” Dr. Daghlas explained. “In effect, we’re studying the results of a naturally randomized experiment whereby some individuals are genetically allocated to carry more lean mass.” 

The current study used MR to investigate the effect of genetically proxied lean mass on the risk of AD and the “related phenotype” of cognitive performance.
 

Genetic proxy

As genetic proxies for lean mass, the researchers chose single nucleotide polymorphisms (genetic variants) that were associated, in a genome-wide association study (GWAS), with appendicular lean mass.

Appendicular lean mass “more accurately reflects the effects of lean mass than whole body lean mass, which includes smooth and cardiac muscle,” the authors explained.

This GWAS used phenotypic and genetic data from 450,243 participants in the UK Biobank cohort (mean age 57 years). All participants were of European ancestry.

The researchers adjusted for age, sex, and genetic ancestry. They measured appendicular lean mass using bioimpedance – an electric current that flows at different rates through the body, depending on its composition.

In addition to the UK Biobank participants, the researchers drew on an independent sample of 21,982 people with AD; a control group of 41,944 people without AD; a replication sample of 7,329 people with and 252,879 people without AD to validate the findings; and 269,867 people taking part in a genome-wide study of cognitive performance.

The researchers identified 584 variants that met criteria for use as genetic proxies for lean mass. None were located within the APOE gene region. In the aggregate, these variants explained 10.3% of the variance in appendicular lean mass.

Each standard deviation increase in genetically proxied lean mass was associated with a 12% reduction in AD risk (odds ratio [OR], 0.88; 95% confidence interval [CI], 0.82-0.95; P < .001). This finding was replicated in the independent consortium (OR, 0.91; 95% CI, 0.83-0.99; P = .02).

The findings remained “consistent” in sensitivity analyses.
 

A modifiable risk factor?

Higher appendicular lean mass was associated with higher levels of cognitive performance, with each SD increase in lean mass associated with an SD increase in cognitive performance (OR, 0.09; 95% CI, 0.06-0.11; P = .001).

“Adjusting for potential mediation through performance did not reduce the association between appendicular lean mass and risk of AD,” the authors wrote.

They obtained similar results using genetically proxied trunk and whole-body lean mass, after adjusting for fat mass.

The authors noted several limitations. The bioimpedance measures “only predict, but do not directly measure, lean mass.” Moreover, the approach didn’t examine whether a “critical window of risk factor timing” exists, during which lean mass might play a role in influencing AD risk and after which “interventions would no longer be effective.” Nor could the study determine whether increasing lean mass could reverse AD pathology in patients with preclinical disease or mild cognitive impairment.

Nevertheless, the findings suggest “that lean mass might be a possible modifiable protective factor for Alzheimer’s disease,” the authors wrote. “The mechanisms underlying this finding, as well as the clinical and public health implications, warrant further investigation.”
 

Novel strategies

In a comment, Iva Miljkovic, MD, PhD, associate professor, department of epidemiology, University of Pittsburgh, said the investigators used “very rigorous methodology.”

The finding suggesting that lean mass is associated with better cognitive function is “important, as cognitive impairment can become stable rather than progress to a pathological state; and, in some cases, can even be reversed.”

In those cases, “identifying the underlying cause – e.g., low lean mass – can significantly improve cognitive function,” said Dr. Miljkovic, senior author of a study showing muscle fat as a risk factor for cognitive decline.

More research will enable us to “expand our understanding” of the mechanisms involved and determine whether interventions aimed at preventing muscle loss and/or increasing muscle fat may have a beneficial effect on cognitive function,” she said. “This might lead to novel strategies to prevent AD.”

Dr. Daghlas is supported by the British Heart Foundation Centre of Research Excellence at Imperial College, London, and is employed part-time by Novo Nordisk. Dr. Miljkovic reports no relevant financial relationships.

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

Lean muscle mass may offer protection against the development of Alzheimer’s disease (AD), new research suggests.

Investigators analyzed data on more than 450,000 participants in the UK Biobank as well as two independent samples of more than 320,000 individuals with and without AD, and more than 260,000 individuals participating in a separate genes and intelligence study.

They estimated lean muscle and fat tissue in the arms and legs and found, in adjusted analyses, over 500 genetic variants associated with lean mass.

On average, higher genetically lean mass was associated with a “modest but statistically robust” reduction in AD risk and with superior performance on cognitive tasks.

“Using human genetic data, we found evidence for a protective effect of lean mass on risk of Alzheimer’s disease,” study investigators Iyas Daghlas, MD, a resident in the department of neurology, University of California, San Francisco, said in an interview.

Although “clinical intervention studies are needed to confirm this effect, this study supports current recommendations to maintain a healthy lifestyle to prevent dementia,” he said.

The study was published online in BMJ Medicine.
 

Naturally randomized research

Several measures of body composition have been investigated for their potential association with AD. Lean mass – a “proxy for muscle mass, defined as the difference between total mass and fat mass” – has been shown to be reduced in patients with AD compared with controls, the researchers noted.

“Previous research studies have tested the relationship of body mass index with Alzheimer’s disease and did not find evidence for a causal effect,” Dr. Daghlas said. “We wondered whether BMI was an insufficiently granular measure and hypothesized that disaggregating body mass into lean mass and fat mass could reveal novel associations with disease.”

Most studies have used case-control designs, which might be biased by “residual confounding or reverse causality.” Naturally randomized data “may be used as an alternative to conventional observational studies to investigate causal relations between risk factors and diseases,” the researchers wrote.

In particular, the Mendelian randomization (MR) paradigm randomly allocates germline genetic variants and uses them as proxies for a specific risk factor.

MR “is a technique that permits researchers to investigate cause-and-effect relationships using human genetic data,” Dr. Daghlas explained. “In effect, we’re studying the results of a naturally randomized experiment whereby some individuals are genetically allocated to carry more lean mass.” 

The current study used MR to investigate the effect of genetically proxied lean mass on the risk of AD and the “related phenotype” of cognitive performance.
 

Genetic proxy

As genetic proxies for lean mass, the researchers chose single nucleotide polymorphisms (genetic variants) that were associated, in a genome-wide association study (GWAS), with appendicular lean mass.

Appendicular lean mass “more accurately reflects the effects of lean mass than whole body lean mass, which includes smooth and cardiac muscle,” the authors explained.

This GWAS used phenotypic and genetic data from 450,243 participants in the UK Biobank cohort (mean age 57 years). All participants were of European ancestry.

The researchers adjusted for age, sex, and genetic ancestry. They measured appendicular lean mass using bioimpedance – an electric current that flows at different rates through the body, depending on its composition.

In addition to the UK Biobank participants, the researchers drew on an independent sample of 21,982 people with AD; a control group of 41,944 people without AD; a replication sample of 7,329 people with and 252,879 people without AD to validate the findings; and 269,867 people taking part in a genome-wide study of cognitive performance.

The researchers identified 584 variants that met criteria for use as genetic proxies for lean mass. None were located within the APOE gene region. In the aggregate, these variants explained 10.3% of the variance in appendicular lean mass.

Each standard deviation increase in genetically proxied lean mass was associated with a 12% reduction in AD risk (odds ratio [OR], 0.88; 95% confidence interval [CI], 0.82-0.95; P < .001). This finding was replicated in the independent consortium (OR, 0.91; 95% CI, 0.83-0.99; P = .02).

The findings remained “consistent” in sensitivity analyses.
 

A modifiable risk factor?

Higher appendicular lean mass was associated with higher levels of cognitive performance, with each SD increase in lean mass associated with an SD increase in cognitive performance (OR, 0.09; 95% CI, 0.06-0.11; P = .001).

“Adjusting for potential mediation through performance did not reduce the association between appendicular lean mass and risk of AD,” the authors wrote.

They obtained similar results using genetically proxied trunk and whole-body lean mass, after adjusting for fat mass.

The authors noted several limitations. The bioimpedance measures “only predict, but do not directly measure, lean mass.” Moreover, the approach didn’t examine whether a “critical window of risk factor timing” exists, during which lean mass might play a role in influencing AD risk and after which “interventions would no longer be effective.” Nor could the study determine whether increasing lean mass could reverse AD pathology in patients with preclinical disease or mild cognitive impairment.

Nevertheless, the findings suggest “that lean mass might be a possible modifiable protective factor for Alzheimer’s disease,” the authors wrote. “The mechanisms underlying this finding, as well as the clinical and public health implications, warrant further investigation.”
 

Novel strategies

In a comment, Iva Miljkovic, MD, PhD, associate professor, department of epidemiology, University of Pittsburgh, said the investigators used “very rigorous methodology.”

The finding suggesting that lean mass is associated with better cognitive function is “important, as cognitive impairment can become stable rather than progress to a pathological state; and, in some cases, can even be reversed.”

In those cases, “identifying the underlying cause – e.g., low lean mass – can significantly improve cognitive function,” said Dr. Miljkovic, senior author of a study showing muscle fat as a risk factor for cognitive decline.

More research will enable us to “expand our understanding” of the mechanisms involved and determine whether interventions aimed at preventing muscle loss and/or increasing muscle fat may have a beneficial effect on cognitive function,” she said. “This might lead to novel strategies to prevent AD.”

Dr. Daghlas is supported by the British Heart Foundation Centre of Research Excellence at Imperial College, London, and is employed part-time by Novo Nordisk. Dr. Miljkovic reports no relevant financial relationships.

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

Lean muscle mass may offer protection against the development of Alzheimer’s disease (AD), new research suggests.

Investigators analyzed data on more than 450,000 participants in the UK Biobank as well as two independent samples of more than 320,000 individuals with and without AD, and more than 260,000 individuals participating in a separate genes and intelligence study.

They estimated lean muscle and fat tissue in the arms and legs and found, in adjusted analyses, over 500 genetic variants associated with lean mass.

On average, higher genetically lean mass was associated with a “modest but statistically robust” reduction in AD risk and with superior performance on cognitive tasks.

“Using human genetic data, we found evidence for a protective effect of lean mass on risk of Alzheimer’s disease,” study investigators Iyas Daghlas, MD, a resident in the department of neurology, University of California, San Francisco, said in an interview.

Although “clinical intervention studies are needed to confirm this effect, this study supports current recommendations to maintain a healthy lifestyle to prevent dementia,” he said.

The study was published online in BMJ Medicine.
 

Naturally randomized research

Several measures of body composition have been investigated for their potential association with AD. Lean mass – a “proxy for muscle mass, defined as the difference between total mass and fat mass” – has been shown to be reduced in patients with AD compared with controls, the researchers noted.

“Previous research studies have tested the relationship of body mass index with Alzheimer’s disease and did not find evidence for a causal effect,” Dr. Daghlas said. “We wondered whether BMI was an insufficiently granular measure and hypothesized that disaggregating body mass into lean mass and fat mass could reveal novel associations with disease.”

Most studies have used case-control designs, which might be biased by “residual confounding or reverse causality.” Naturally randomized data “may be used as an alternative to conventional observational studies to investigate causal relations between risk factors and diseases,” the researchers wrote.

In particular, the Mendelian randomization (MR) paradigm randomly allocates germline genetic variants and uses them as proxies for a specific risk factor.

MR “is a technique that permits researchers to investigate cause-and-effect relationships using human genetic data,” Dr. Daghlas explained. “In effect, we’re studying the results of a naturally randomized experiment whereby some individuals are genetically allocated to carry more lean mass.” 

The current study used MR to investigate the effect of genetically proxied lean mass on the risk of AD and the “related phenotype” of cognitive performance.
 

Genetic proxy

As genetic proxies for lean mass, the researchers chose single nucleotide polymorphisms (genetic variants) that were associated, in a genome-wide association study (GWAS), with appendicular lean mass.

Appendicular lean mass “more accurately reflects the effects of lean mass than whole body lean mass, which includes smooth and cardiac muscle,” the authors explained.

This GWAS used phenotypic and genetic data from 450,243 participants in the UK Biobank cohort (mean age 57 years). All participants were of European ancestry.

The researchers adjusted for age, sex, and genetic ancestry. They measured appendicular lean mass using bioimpedance – an electric current that flows at different rates through the body, depending on its composition.

In addition to the UK Biobank participants, the researchers drew on an independent sample of 21,982 people with AD; a control group of 41,944 people without AD; a replication sample of 7,329 people with and 252,879 people without AD to validate the findings; and 269,867 people taking part in a genome-wide study of cognitive performance.

The researchers identified 584 variants that met criteria for use as genetic proxies for lean mass. None were located within the APOE gene region. In the aggregate, these variants explained 10.3% of the variance in appendicular lean mass.

Each standard deviation increase in genetically proxied lean mass was associated with a 12% reduction in AD risk (odds ratio [OR], 0.88; 95% confidence interval [CI], 0.82-0.95; P < .001). This finding was replicated in the independent consortium (OR, 0.91; 95% CI, 0.83-0.99; P = .02).

The findings remained “consistent” in sensitivity analyses.
 

A modifiable risk factor?

Higher appendicular lean mass was associated with higher levels of cognitive performance, with each SD increase in lean mass associated with an SD increase in cognitive performance (OR, 0.09; 95% CI, 0.06-0.11; P = .001).

“Adjusting for potential mediation through performance did not reduce the association between appendicular lean mass and risk of AD,” the authors wrote.

They obtained similar results using genetically proxied trunk and whole-body lean mass, after adjusting for fat mass.

The authors noted several limitations. The bioimpedance measures “only predict, but do not directly measure, lean mass.” Moreover, the approach didn’t examine whether a “critical window of risk factor timing” exists, during which lean mass might play a role in influencing AD risk and after which “interventions would no longer be effective.” Nor could the study determine whether increasing lean mass could reverse AD pathology in patients with preclinical disease or mild cognitive impairment.

Nevertheless, the findings suggest “that lean mass might be a possible modifiable protective factor for Alzheimer’s disease,” the authors wrote. “The mechanisms underlying this finding, as well as the clinical and public health implications, warrant further investigation.”
 

Novel strategies

In a comment, Iva Miljkovic, MD, PhD, associate professor, department of epidemiology, University of Pittsburgh, said the investigators used “very rigorous methodology.”

The finding suggesting that lean mass is associated with better cognitive function is “important, as cognitive impairment can become stable rather than progress to a pathological state; and, in some cases, can even be reversed.”

In those cases, “identifying the underlying cause – e.g., low lean mass – can significantly improve cognitive function,” said Dr. Miljkovic, senior author of a study showing muscle fat as a risk factor for cognitive decline.

More research will enable us to “expand our understanding” of the mechanisms involved and determine whether interventions aimed at preventing muscle loss and/or increasing muscle fat may have a beneficial effect on cognitive function,” she said. “This might lead to novel strategies to prevent AD.”

Dr. Daghlas is supported by the British Heart Foundation Centre of Research Excellence at Imperial College, London, and is employed part-time by Novo Nordisk. Dr. Miljkovic reports no relevant financial relationships.

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

Oral contraceptive (OC) use has been linked to increased depression risk, especially within the first 2 years following initiation, new research shows.

In addition, OC use in adolescence has been tied to an increased risk for depression later in life. However, some experts believe the study’s methodology may be flawed.

The investigators tracked more than 250,000 women from birth to menopause, gathering information about their use of combined contraceptive pills (progesterone and estrogen), the timing of the initial depression diagnosis, and the onset of depressive symptoms that were not formally diagnosed.

areeya_ann/Thinkstock

Women who began using these OCs before or at the age of 20 experienced a 130% higher incidence of depressive symptoms, whereas adult users saw a 92% increase. But the higher occurrence of depression tended to decline after the first 2 years of use, except in teenagers, who maintained an increased incidence of depression even after discontinuation.

This effect remained, even after analysis of potential familial confounding.

“Our findings suggest that the use of OCs, particularly during the first 2 years, increases the risk of depression. Additionally, OC use during adolescence might increase the risk of depression later in life,” Therese Johansson, of the department of immunology, genetics, and pathology, Science for Life Laboratory, Uppsala (Sweden) University, and colleagues wrote.

The study was published online in Epidemiology and Psychiatric Sciences.
 

Inconsistent findings

Previous studies suggest an association between adolescent use of hormonal contraceptives (HCs) and increased depression risk, but it’s “less clear” whether these effects are similar in adults, the authors wrote. Randomized clinical trials have “shown little or no effect” of HCs on mood. However, most of these studies didn’t consider previous use of HC.

The researchers wanted to estimate the incidence rate of depression associated with first initiation of OC use as well as the lifetime risk associated with use.

They studied 264,557 female participants in the UK Biobank (aged 37-71 years), collecting data from questionnaires, interviews, physical health measures, biological samples, imaging, and linked health records.

Most participants taking OCs had initiated use during the 1970s/early 1980s when second-generation OCs were predominantly used, consisting of levonorgestrel and ethinyl estradiol.

The researchers conducted a secondary outcome analysis on women who completed the UK Biobank Mental Health Questionnaire (MHQ) to evaluate depressive symptoms.

They estimated the associated risk for depression within 2 years after starting OCs in all women, as well as in groups stratified by age at initiation: before age 20 (adolescents) and age 20 and older (adults). In addition, the investigators estimated the lifetime risk for depression.

Time-dependent analysis compared the effect of OC use at initiation to the effect during the remaining years of use in recent and previous users.

They analyzed a subcohort of female siblings, utilizing “inference about causation from examination of familial confounding,” defined by the authors as a “regression-based approach for determining causality through the use of paired observational data collected from related individuals.”
 

Adolescents at highest risk

Of the participants, 80.6% had used OCs at some point.

The first 2 years of use were associated with a higher rate of depression among users, compared with never-users (hazard ration, 1.79; 95% confidence interval, 1.63-1.96). Although the risk became less pronounced after that, ever-use was still associated with increased lifetime risk for depression (HR, 1.05; 95% CI, 1.01-1.09).

Adolescents and adult OC users both experienced higher rates of depression during the first 2 years, with a more marked effect in adolescents than in adults (HR, 1.95; 95% CI, 1.64-2.32; and HR, 1.74; 95% CI, 1.54-1.95, respectively).

Previous users of OCs had a higher lifetime risk for depression, compared with never-users (HR, 1.05; 95% CI, 1.01-1.09).

Of the subcohort of women who completed the MHQ (n = 82,232), about half reported experiencing at least one of the core depressive symptoms.

OC initiation was associated with an increased risk for depressive symptoms during the first 2 years in ever- versus never-users (HR, 2.00; 95% CI, 1.91-2.10).

Those who began using OCs during adolescence had a dramatically higher rate of depressive symptoms, compared with never-users (HR, 2.30; 95% CI, 2.11-2.51), as did adult initiators (HR, 1.92; 95% CI, 2.11-2.51).

In the analysis of 7,354 first-degree sister pairs, 81% had initiated OCs. A sibling’s OC use was positively associated with a depression diagnosis, and the cosibling’s OC use was also associated with the sibling’s depression diagnosis. “These results support the hypothesis of a causal relationship between OC use and depression, such that OC use increases the risk of depression,” the authors wrote.

The main limitation is the potential for recall bias in the self-reported data, and that the UK Biobank sample consists of a healthier population than the overall U.K. population, which “hampers the generalizability” of the findings, the authors stated.
 

Flawed study

In a comment, Natalie Rasgon, MD, founder and director of the Stanford (Calif.) Center for Neuroscience in Women’s Health, said the study was “well researched” and “well written” but had “methodological issues.”

She questioned the sibling component, “which the researchers regard as confirming causality.” The effect may be “important but not causative.” Causality in people who are recalling retrospectively “is highly questionable by any adept researcher because it’s subject to memory. Different siblings may have different recall.”

The authors also didn’t study the indication for OC use. Several medical conditions are treated with OCs, including premenstrual dysphoric disorder, the “number one mood disorder among women of reproductive age.” Including this “could have made a huge difference in outcome data,” said Dr. Rasgon, who was not involved with the study.

Anne-Marie Amies Oelschlager, MD, professor of obstetrics and gynecology, University of Washington, Seattle, noted participants were asked to recall depressive symptoms and OC use as far back as 20-30 years ago, which lends itself to inaccurate recall.

And the researchers didn’t ascertain whether the contraceptives had been used continuously or had been started, stopped, and restarted. Nor did they look at different formulations and doses. And the observational nature of the study “limits the ability to infer causation,” continued Dr. Oelschlager, chair of the American College of Obstetrics and Gynecology Clinical Consensus Gynecology Committee. She was not involved with the study.

“This study is too flawed to use meaningfully in clinical practice,” Dr. Oelschlager concluded.

The study was primarily funded by the Swedish Research Council, the Swedish Brain Foundation, and the Uppsala University Center for Women ‘s Mental Health during the Reproductive Lifespan. The authors, Dr. Rasgon, and Dr. Oelschlager declared no relevant financial relationships.

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

Oral contraceptive (OC) use has been linked to increased depression risk, especially within the first 2 years following initiation, new research shows.

In addition, OC use in adolescence has been tied to an increased risk for depression later in life. However, some experts believe the study’s methodology may be flawed.

The investigators tracked more than 250,000 women from birth to menopause, gathering information about their use of combined contraceptive pills (progesterone and estrogen), the timing of the initial depression diagnosis, and the onset of depressive symptoms that were not formally diagnosed.

areeya_ann/Thinkstock

Women who began using these OCs before or at the age of 20 experienced a 130% higher incidence of depressive symptoms, whereas adult users saw a 92% increase. But the higher occurrence of depression tended to decline after the first 2 years of use, except in teenagers, who maintained an increased incidence of depression even after discontinuation.

This effect remained, even after analysis of potential familial confounding.

“Our findings suggest that the use of OCs, particularly during the first 2 years, increases the risk of depression. Additionally, OC use during adolescence might increase the risk of depression later in life,” Therese Johansson, of the department of immunology, genetics, and pathology, Science for Life Laboratory, Uppsala (Sweden) University, and colleagues wrote.

The study was published online in Epidemiology and Psychiatric Sciences.
 

Inconsistent findings

Previous studies suggest an association between adolescent use of hormonal contraceptives (HCs) and increased depression risk, but it’s “less clear” whether these effects are similar in adults, the authors wrote. Randomized clinical trials have “shown little or no effect” of HCs on mood. However, most of these studies didn’t consider previous use of HC.

The researchers wanted to estimate the incidence rate of depression associated with first initiation of OC use as well as the lifetime risk associated with use.

They studied 264,557 female participants in the UK Biobank (aged 37-71 years), collecting data from questionnaires, interviews, physical health measures, biological samples, imaging, and linked health records.

Most participants taking OCs had initiated use during the 1970s/early 1980s when second-generation OCs were predominantly used, consisting of levonorgestrel and ethinyl estradiol.

The researchers conducted a secondary outcome analysis on women who completed the UK Biobank Mental Health Questionnaire (MHQ) to evaluate depressive symptoms.

They estimated the associated risk for depression within 2 years after starting OCs in all women, as well as in groups stratified by age at initiation: before age 20 (adolescents) and age 20 and older (adults). In addition, the investigators estimated the lifetime risk for depression.

Time-dependent analysis compared the effect of OC use at initiation to the effect during the remaining years of use in recent and previous users.

They analyzed a subcohort of female siblings, utilizing “inference about causation from examination of familial confounding,” defined by the authors as a “regression-based approach for determining causality through the use of paired observational data collected from related individuals.”
 

Adolescents at highest risk

Of the participants, 80.6% had used OCs at some point.

The first 2 years of use were associated with a higher rate of depression among users, compared with never-users (hazard ration, 1.79; 95% confidence interval, 1.63-1.96). Although the risk became less pronounced after that, ever-use was still associated with increased lifetime risk for depression (HR, 1.05; 95% CI, 1.01-1.09).

Adolescents and adult OC users both experienced higher rates of depression during the first 2 years, with a more marked effect in adolescents than in adults (HR, 1.95; 95% CI, 1.64-2.32; and HR, 1.74; 95% CI, 1.54-1.95, respectively).

Previous users of OCs had a higher lifetime risk for depression, compared with never-users (HR, 1.05; 95% CI, 1.01-1.09).

Of the subcohort of women who completed the MHQ (n = 82,232), about half reported experiencing at least one of the core depressive symptoms.

OC initiation was associated with an increased risk for depressive symptoms during the first 2 years in ever- versus never-users (HR, 2.00; 95% CI, 1.91-2.10).

Those who began using OCs during adolescence had a dramatically higher rate of depressive symptoms, compared with never-users (HR, 2.30; 95% CI, 2.11-2.51), as did adult initiators (HR, 1.92; 95% CI, 2.11-2.51).

In the analysis of 7,354 first-degree sister pairs, 81% had initiated OCs. A sibling’s OC use was positively associated with a depression diagnosis, and the cosibling’s OC use was also associated with the sibling’s depression diagnosis. “These results support the hypothesis of a causal relationship between OC use and depression, such that OC use increases the risk of depression,” the authors wrote.

The main limitation is the potential for recall bias in the self-reported data, and that the UK Biobank sample consists of a healthier population than the overall U.K. population, which “hampers the generalizability” of the findings, the authors stated.
 

Flawed study

In a comment, Natalie Rasgon, MD, founder and director of the Stanford (Calif.) Center for Neuroscience in Women’s Health, said the study was “well researched” and “well written” but had “methodological issues.”

She questioned the sibling component, “which the researchers regard as confirming causality.” The effect may be “important but not causative.” Causality in people who are recalling retrospectively “is highly questionable by any adept researcher because it’s subject to memory. Different siblings may have different recall.”

The authors also didn’t study the indication for OC use. Several medical conditions are treated with OCs, including premenstrual dysphoric disorder, the “number one mood disorder among women of reproductive age.” Including this “could have made a huge difference in outcome data,” said Dr. Rasgon, who was not involved with the study.

Anne-Marie Amies Oelschlager, MD, professor of obstetrics and gynecology, University of Washington, Seattle, noted participants were asked to recall depressive symptoms and OC use as far back as 20-30 years ago, which lends itself to inaccurate recall.

And the researchers didn’t ascertain whether the contraceptives had been used continuously or had been started, stopped, and restarted. Nor did they look at different formulations and doses. And the observational nature of the study “limits the ability to infer causation,” continued Dr. Oelschlager, chair of the American College of Obstetrics and Gynecology Clinical Consensus Gynecology Committee. She was not involved with the study.

“This study is too flawed to use meaningfully in clinical practice,” Dr. Oelschlager concluded.

The study was primarily funded by the Swedish Research Council, the Swedish Brain Foundation, and the Uppsala University Center for Women ‘s Mental Health during the Reproductive Lifespan. The authors, Dr. Rasgon, and Dr. Oelschlager declared no relevant financial relationships.

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

Oral contraceptive (OC) use has been linked to increased depression risk, especially within the first 2 years following initiation, new research shows.

In addition, OC use in adolescence has been tied to an increased risk for depression later in life. However, some experts believe the study’s methodology may be flawed.

The investigators tracked more than 250,000 women from birth to menopause, gathering information about their use of combined contraceptive pills (progesterone and estrogen), the timing of the initial depression diagnosis, and the onset of depressive symptoms that were not formally diagnosed.

areeya_ann/Thinkstock

Women who began using these OCs before or at the age of 20 experienced a 130% higher incidence of depressive symptoms, whereas adult users saw a 92% increase. But the higher occurrence of depression tended to decline after the first 2 years of use, except in teenagers, who maintained an increased incidence of depression even after discontinuation.

This effect remained, even after analysis of potential familial confounding.

“Our findings suggest that the use of OCs, particularly during the first 2 years, increases the risk of depression. Additionally, OC use during adolescence might increase the risk of depression later in life,” Therese Johansson, of the department of immunology, genetics, and pathology, Science for Life Laboratory, Uppsala (Sweden) University, and colleagues wrote.

The study was published online in Epidemiology and Psychiatric Sciences.
 

Inconsistent findings

Previous studies suggest an association between adolescent use of hormonal contraceptives (HCs) and increased depression risk, but it’s “less clear” whether these effects are similar in adults, the authors wrote. Randomized clinical trials have “shown little or no effect” of HCs on mood. However, most of these studies didn’t consider previous use of HC.

The researchers wanted to estimate the incidence rate of depression associated with first initiation of OC use as well as the lifetime risk associated with use.

They studied 264,557 female participants in the UK Biobank (aged 37-71 years), collecting data from questionnaires, interviews, physical health measures, biological samples, imaging, and linked health records.

Most participants taking OCs had initiated use during the 1970s/early 1980s when second-generation OCs were predominantly used, consisting of levonorgestrel and ethinyl estradiol.

The researchers conducted a secondary outcome analysis on women who completed the UK Biobank Mental Health Questionnaire (MHQ) to evaluate depressive symptoms.

They estimated the associated risk for depression within 2 years after starting OCs in all women, as well as in groups stratified by age at initiation: before age 20 (adolescents) and age 20 and older (adults). In addition, the investigators estimated the lifetime risk for depression.

Time-dependent analysis compared the effect of OC use at initiation to the effect during the remaining years of use in recent and previous users.

They analyzed a subcohort of female siblings, utilizing “inference about causation from examination of familial confounding,” defined by the authors as a “regression-based approach for determining causality through the use of paired observational data collected from related individuals.”
 

Adolescents at highest risk

Of the participants, 80.6% had used OCs at some point.

The first 2 years of use were associated with a higher rate of depression among users, compared with never-users (hazard ration, 1.79; 95% confidence interval, 1.63-1.96). Although the risk became less pronounced after that, ever-use was still associated with increased lifetime risk for depression (HR, 1.05; 95% CI, 1.01-1.09).

Adolescents and adult OC users both experienced higher rates of depression during the first 2 years, with a more marked effect in adolescents than in adults (HR, 1.95; 95% CI, 1.64-2.32; and HR, 1.74; 95% CI, 1.54-1.95, respectively).

Previous users of OCs had a higher lifetime risk for depression, compared with never-users (HR, 1.05; 95% CI, 1.01-1.09).

Of the subcohort of women who completed the MHQ (n = 82,232), about half reported experiencing at least one of the core depressive symptoms.

OC initiation was associated with an increased risk for depressive symptoms during the first 2 years in ever- versus never-users (HR, 2.00; 95% CI, 1.91-2.10).

Those who began using OCs during adolescence had a dramatically higher rate of depressive symptoms, compared with never-users (HR, 2.30; 95% CI, 2.11-2.51), as did adult initiators (HR, 1.92; 95% CI, 2.11-2.51).

In the analysis of 7,354 first-degree sister pairs, 81% had initiated OCs. A sibling’s OC use was positively associated with a depression diagnosis, and the cosibling’s OC use was also associated with the sibling’s depression diagnosis. “These results support the hypothesis of a causal relationship between OC use and depression, such that OC use increases the risk of depression,” the authors wrote.

The main limitation is the potential for recall bias in the self-reported data, and that the UK Biobank sample consists of a healthier population than the overall U.K. population, which “hampers the generalizability” of the findings, the authors stated.
 

Flawed study

In a comment, Natalie Rasgon, MD, founder and director of the Stanford (Calif.) Center for Neuroscience in Women’s Health, said the study was “well researched” and “well written” but had “methodological issues.”

She questioned the sibling component, “which the researchers regard as confirming causality.” The effect may be “important but not causative.” Causality in people who are recalling retrospectively “is highly questionable by any adept researcher because it’s subject to memory. Different siblings may have different recall.”

The authors also didn’t study the indication for OC use. Several medical conditions are treated with OCs, including premenstrual dysphoric disorder, the “number one mood disorder among women of reproductive age.” Including this “could have made a huge difference in outcome data,” said Dr. Rasgon, who was not involved with the study.

Anne-Marie Amies Oelschlager, MD, professor of obstetrics and gynecology, University of Washington, Seattle, noted participants were asked to recall depressive symptoms and OC use as far back as 20-30 years ago, which lends itself to inaccurate recall.

And the researchers didn’t ascertain whether the contraceptives had been used continuously or had been started, stopped, and restarted. Nor did they look at different formulations and doses. And the observational nature of the study “limits the ability to infer causation,” continued Dr. Oelschlager, chair of the American College of Obstetrics and Gynecology Clinical Consensus Gynecology Committee. She was not involved with the study.

“This study is too flawed to use meaningfully in clinical practice,” Dr. Oelschlager concluded.

The study was primarily funded by the Swedish Research Council, the Swedish Brain Foundation, and the Uppsala University Center for Women ‘s Mental Health during the Reproductive Lifespan. The authors, Dr. Rasgon, and Dr. Oelschlager declared no relevant financial relationships.

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

While the typical dose of methotrexate (MTX) for inflammatory disease in pediatric patients varies in published studies, the maximum dose is considered to be 1 mg/kg and not to exceed 25 mg/week. In addition, test doses are not necessary for pediatric patients starting low dose (1 mg/kg or less) MTX for inflammatory skin disease, and the onset of efficacy with MTX may take 8-16 weeks.

Those are among 46 evidence- and consensus-based recommendations about the use of MTX for inflammatory skin disease in pediatric patients that were developed by a committee of 23 experts and published online in Pediatric Dermatology.

“Methotrexate is a cost-effective, readily accessible, well-tolerated, useful, and time-honored option for children with a spectrum of inflammatory skin diseases,” project cochair Elaine C. Siegfried, MD, professor of pediatrics and dermatology at Saint Louis University, told this news organization. “Although considered an ‘immune suppressant’ by some, it is more accurately classified as an immune modulator and has been widely used for more than 50 years, and remains the standard of care when administered at very high doses and intrathecally in children with acute lymphoblastic leukemia – a practice that supports safety. But many details that support optimized treatment are not widely appreciated.”

• MTX can be discontinued abruptly without adverse effects, other than the risk of disease worsening.
• Folic acid supplementation (starting at 1 mg/day, regardless of weight) is an effective approach to minimizing associated gastrointestinal adverse effects.
• Concomitant use of MTX and antibiotics (including trimethoprim-sulfamethoxazole) and NSAIDS are not contraindicated for most pediatric patients treated for inflammatory skin disease.
• Live virus vaccine boosters such as varicella-zoster virus (VZV) and measles, mumps, and rubella (MMR) are not contraindicated in patients taking MTX; there are insufficient data to make recommendations for or against primary immunization with MMR vaccine in patients taking MTX; inactivated vaccines should be given to patients taking MTX.
• Routine surveillance laboratory monitoring (i.e., CBC with differential, alanine transaminase, aspartate aminotransferase, creatinine) is recommended at baseline, after 1 month of treatment, and every 3-4 months thereafter.
• Transient transaminase elevation (≤ 3 upper limit normal for < 3 months) is not uncommon with low-dose MTX and does not usually require interruption of MTX. The most likely causes are concomitant viral infection, MTX dosing within 24 hours prior to phlebotomy, recent administration of other medications (such as acetaminophen), and/or recent alcohol consumption.
• Liver biopsy is not indicated for routine monitoring of pediatric patients taking low-dose MTX.

According to Dr. Siegfried, consensus of the committee members was lowest on the need for a test dose of MTX.

Overall, she said in the interview, helping to craft the guidelines caused her to reflect on how her approach to using MTX has evolved over the past 35 years, after treating “many hundreds” of patients. “I was gratified to confirm similar practice patterns among my colleagues,” she added.

The project’s other cochair was Heather Brandling-Bennett, MD, a dermatologist at Seattle Children’s Hospital. This work was supported by a grant from the Pediatric Dermatology Research Alliance (PeDRA), with additional funding from the National Eczema Association and the National Psoriasis Foundation. Dr. Siegfried disclosed ties with AbbVie, Boehringer Ingelheim, Incyte, LEO Pharma, Novan, Novartis, Pierre Fabre, Pfizer, Regeneron, Sanofi Genzyme, UCB, and Verrica. She has participated in contracted research for AI Therapeutics, and has served as principal investigator for Janssen. Many of the guideline coauthors disclosed having received grant support and other funding from pharmaceutical companies.

While the typical dose of methotrexate (MTX) for inflammatory disease in pediatric patients varies in published studies, the maximum dose is considered to be 1 mg/kg and not to exceed 25 mg/week. In addition, test doses are not necessary for pediatric patients starting low dose (1 mg/kg or less) MTX for inflammatory skin disease, and the onset of efficacy with MTX may take 8-16 weeks.

Those are among 46 evidence- and consensus-based recommendations about the use of MTX for inflammatory skin disease in pediatric patients that were developed by a committee of 23 experts and published online in Pediatric Dermatology.

“Methotrexate is a cost-effective, readily accessible, well-tolerated, useful, and time-honored option for children with a spectrum of inflammatory skin diseases,” project cochair Elaine C. Siegfried, MD, professor of pediatrics and dermatology at Saint Louis University, told this news organization. “Although considered an ‘immune suppressant’ by some, it is more accurately classified as an immune modulator and has been widely used for more than 50 years, and remains the standard of care when administered at very high doses and intrathecally in children with acute lymphoblastic leukemia – a practice that supports safety. But many details that support optimized treatment are not widely appreciated.”

• MTX can be discontinued abruptly without adverse effects, other than the risk of disease worsening.
• Folic acid supplementation (starting at 1 mg/day, regardless of weight) is an effective approach to minimizing associated gastrointestinal adverse effects.
• Concomitant use of MTX and antibiotics (including trimethoprim-sulfamethoxazole) and NSAIDS are not contraindicated for most pediatric patients treated for inflammatory skin disease.
• Live virus vaccine boosters such as varicella-zoster virus (VZV) and measles, mumps, and rubella (MMR) are not contraindicated in patients taking MTX; there are insufficient data to make recommendations for or against primary immunization with MMR vaccine in patients taking MTX; inactivated vaccines should be given to patients taking MTX.
• Routine surveillance laboratory monitoring (i.e., CBC with differential, alanine transaminase, aspartate aminotransferase, creatinine) is recommended at baseline, after 1 month of treatment, and every 3-4 months thereafter.
• Transient transaminase elevation (≤ 3 upper limit normal for < 3 months) is not uncommon with low-dose MTX and does not usually require interruption of MTX. The most likely causes are concomitant viral infection, MTX dosing within 24 hours prior to phlebotomy, recent administration of other medications (such as acetaminophen), and/or recent alcohol consumption.
• Liver biopsy is not indicated for routine monitoring of pediatric patients taking low-dose MTX.

According to Dr. Siegfried, consensus of the committee members was lowest on the need for a test dose of MTX.

Overall, she said in the interview, helping to craft the guidelines caused her to reflect on how her approach to using MTX has evolved over the past 35 years, after treating “many hundreds” of patients. “I was gratified to confirm similar practice patterns among my colleagues,” she added.

The project’s other cochair was Heather Brandling-Bennett, MD, a dermatologist at Seattle Children’s Hospital. This work was supported by a grant from the Pediatric Dermatology Research Alliance (PeDRA), with additional funding from the National Eczema Association and the National Psoriasis Foundation. Dr. Siegfried disclosed ties with AbbVie, Boehringer Ingelheim, Incyte, LEO Pharma, Novan, Novartis, Pierre Fabre, Pfizer, Regeneron, Sanofi Genzyme, UCB, and Verrica. She has participated in contracted research for AI Therapeutics, and has served as principal investigator for Janssen. Many of the guideline coauthors disclosed having received grant support and other funding from pharmaceutical companies.

While the typical dose of methotrexate (MTX) for inflammatory disease in pediatric patients varies in published studies, the maximum dose is considered to be 1 mg/kg and not to exceed 25 mg/week. In addition, test doses are not necessary for pediatric patients starting low dose (1 mg/kg or less) MTX for inflammatory skin disease, and the onset of efficacy with MTX may take 8-16 weeks.

Those are among 46 evidence- and consensus-based recommendations about the use of MTX for inflammatory skin disease in pediatric patients that were developed by a committee of 23 experts and published online in Pediatric Dermatology.

“Methotrexate is a cost-effective, readily accessible, well-tolerated, useful, and time-honored option for children with a spectrum of inflammatory skin diseases,” project cochair Elaine C. Siegfried, MD, professor of pediatrics and dermatology at Saint Louis University, told this news organization. “Although considered an ‘immune suppressant’ by some, it is more accurately classified as an immune modulator and has been widely used for more than 50 years, and remains the standard of care when administered at very high doses and intrathecally in children with acute lymphoblastic leukemia – a practice that supports safety. But many details that support optimized treatment are not widely appreciated.”

• MTX can be discontinued abruptly without adverse effects, other than the risk of disease worsening.
• Folic acid supplementation (starting at 1 mg/day, regardless of weight) is an effective approach to minimizing associated gastrointestinal adverse effects.
• Concomitant use of MTX and antibiotics (including trimethoprim-sulfamethoxazole) and NSAIDS are not contraindicated for most pediatric patients treated for inflammatory skin disease.
• Live virus vaccine boosters such as varicella-zoster virus (VZV) and measles, mumps, and rubella (MMR) are not contraindicated in patients taking MTX; there are insufficient data to make recommendations for or against primary immunization with MMR vaccine in patients taking MTX; inactivated vaccines should be given to patients taking MTX.
• Routine surveillance laboratory monitoring (i.e., CBC with differential, alanine transaminase, aspartate aminotransferase, creatinine) is recommended at baseline, after 1 month of treatment, and every 3-4 months thereafter.
• Transient transaminase elevation (≤ 3 upper limit normal for < 3 months) is not uncommon with low-dose MTX and does not usually require interruption of MTX. The most likely causes are concomitant viral infection, MTX dosing within 24 hours prior to phlebotomy, recent administration of other medications (such as acetaminophen), and/or recent alcohol consumption.
• Liver biopsy is not indicated for routine monitoring of pediatric patients taking low-dose MTX.

According to Dr. Siegfried, consensus of the committee members was lowest on the need for a test dose of MTX.

Overall, she said in the interview, helping to craft the guidelines caused her to reflect on how her approach to using MTX has evolved over the past 35 years, after treating “many hundreds” of patients. “I was gratified to confirm similar practice patterns among my colleagues,” she added.

The project’s other cochair was Heather Brandling-Bennett, MD, a dermatologist at Seattle Children’s Hospital. This work was supported by a grant from the Pediatric Dermatology Research Alliance (PeDRA), with additional funding from the National Eczema Association and the National Psoriasis Foundation. Dr. Siegfried disclosed ties with AbbVie, Boehringer Ingelheim, Incyte, LEO Pharma, Novan, Novartis, Pierre Fabre, Pfizer, Regeneron, Sanofi Genzyme, UCB, and Verrica. She has participated in contracted research for AI Therapeutics, and has served as principal investigator for Janssen. Many of the guideline coauthors disclosed having received grant support and other funding from pharmaceutical companies.

In 1927, American gynecologist John Sampson published his theory of the etiology of endometriosis, postulating that retrograde flow of endometrial debris flows backward through the fallopian tubes during menses into the peritoneal cavity. Dr. Sampson’s notion remains the main paradigm today, mentioned still in recent articles on the topic, but it has a flaw: Although the theory may account for how endometrial tissue escapes the uterus, a 1984 study revealed that this phenomenon occurs in 90% of women. Why, then, do only 10% of women suffer from endometriosis?

Endometriosis describes a condition in which endometrial tissue lining the uterus is found outside the uterus. The disease can be painful, even crippling. As many as 30% of women in their reproductive years who have endometriosis are infertile as a consequence. The hallmarks of the condition are superficial peritoneal lesions of varying color, cysts in the ovaries, deeper nodules accompanied by scarring and adhesion, primarily in the pelvis but sometimes appearing outside the pelvis. The syndrome can be challenging to identify, requiring laparoscopy for definitive diagnosis.

John Sampson aside, scientists have struggled for the past century to identify the cause, or causes, of endometriosis. Hormones clearly play a role in its development, and women with endometriosis have an elevated risk of clear-cell and endometrioid ovarian cancer and autoimmune diseases. Immunodeficiency also could be to blame, if a faulty immune system fails to find and remove endometrial tissue outside of the uterus. A class of chemicals known as endocrine disruptors have been linked to endometriosis, but not definitively. Twin studies have demonstrated that as many as 50% of cases have a genetic basis, while mice with surgically induced endometriosis have been found to have a higher ratio of harmful to beneficial bacteria in their gut.

Several studies published this year point to new insights into the old mystery – with possible implications for ways to treat the disorder.

Perhaps the most surprising came out earlier this year in Science Translational Medicine, as a team of researchers in Japan reported that invasive infection by bacteria of the genus Fusobacterium may cause at least some cases of endometriosis.

Is Fusobacterium the new Helicobacter pylori?

The researchers, from Nagoya University, are the first to suggest that not only might a single bacterial genus cause endometriosis, but that antibiotic treatment could prevent progression of the disease. Using endometrial tissue obtained from 79 women undergoing hysterectomy for endometriosis and 76 women undergoing hysterectomy for other reasons (such as cervical cancer), the team started with gene expression profiling to explore differences between the two sets of samples. 

They uncovered an interesting chain of cellular events:  macrophages found in endometriotic lesions were secreting transforming growth factor-beta (TGF-beta). TGF-beta in turn stimulated high levels of expression of a gene called TAGLN in fibroblast cells from women with endometriosis but not in fibroblasts from women without endometriosis. 

Turning on TAGLN transformed these previously inactive cells into active myofibroblasts, leading to increased proliferation, mobility, and attachment to mesothelial cells, the layer of cells that line body cavities and internal organs. In short, they identified some key players in an environment that seemed very favorable to the development of endometriosis.

“So, the question is: Why are macrophages activated?” said Yutaka Kondo, MD, PhD, the senior author of the study and a professor in the division of cancer biology at the Nagoya (Japan) University Graduate School of Medicine. “We think that there are always bacteria in the endometrium.”

After reviewing data from a previously published study, they used quantitative polymerase chain reaction to rule out one candidate, Erysipelothrix, but scored on their next attempt, identifying Fusobacterium species in endometrial tissue from 64% of the women with endometriosis, compared with fewer than 10% of the controls.

To confirm that the bacteria could cause disease and were not simply bystanders, Dr. Kondo’s team turned to a mouse model for endometriosis, in which endometrial cells are surgically removed from the uteri of mice and injected into the peritoneum of recipient mice, leading to the formation of endometriotic lesions. When mice received further injections of uterine tissue from mice that were infected with F. nucleatum, their lesions were more numerous when compared with mice that received injections of uninfected uterine tissue. Furthermore, antibiotic treatment with metronidazole or chloramphenicol immediately after surgery largely prevented progression to endometriosis, Dr. Kondo and his colleagues reported.

Dr. Kondo likened this relationship between Fusobacterium and endometriosis to that of the link between Helicobacter pylori and peptic ulcers but acknowledged that he doesn’t have all the answers.

“We need more clinical trials, and also we have to know what kind of treatment might be the most effective for the treatment of endometriosis,” Dr. Kondo said, pointing out that other therapies should still be pursued in addition to antibiotics, as not all the samples from women with endometriosis harbored Fusobacterium. “It might be possible that other mechanisms are also involved.”

Don’t write off gut microbiota

Ramakrishna Kommagani, PhD, associate professor of pathology and immunology at Baylor College of Medicine in Houston, agreed. “Endometriosis is a complex disease, which appears to be impacted by many factors, including genetic, epigenetic, and environmental factors,” Dr. Kommagani said.

Dr. Ramakrishna Kommagani, Baylor College of Medicine Photography Services

Clues in genetic variants

Krina Zondervan, DPhil, professor and head of the department of reproductive and genomic epidemiology at the University of Oxford (England), focuses on genomic, molecular, and epidemiologic approaches to understanding endometriosis.

What’s next?

The chief limitation of human studies looking at mechanisms of endometriosis is that they are correlational: Tissue samples are collected from women with and without endometriosis, often through an invasive procedure such as laparoscopy or biopsy, at one point in time. If a researcher identifies a factor that is more common in women with endometriosis – a particular bacterium or environmental exposure – proving causality is difficult. Currently, the best tools for proving causation are animal models of endometriosis, such as the those used by Dr. Kondo’s and Dr. Kommagani’s teams.

Better diagnostic tools would solve that problem. The ultimate goal is a noninvasive test for endometriosis that would allow clinicians to follow women over time and permit the monitoring of disease progression, or regression, without the need for painful procedures. Such a diagnostic tool would facilitate rigorous longitudinal studies evaluating mechanisms of disease, as well as monitoring outcomes of clinical trials of new treatments.

Could stool samples be the answer?

The Japanese team found that women harboring Fusobacterium in endometrial tissue also had Fusobacterium in vaginal samples taken at the time of their hysterectomy – and stool samples can pick up changes in the gut microbiome.

“Vaginal swab or stool tests are probably the best and easiest for noninvasive early detection,” Dr. Kommagani said. 

Spit tests for DNA would be even easier to obtain. Polygenic risk scores could be developed to estimate an individual’s risk of disease based on the number of variants, but Dr. Zondervan cautioned that not all the genes that account for endometriosis are known.

“The things that we found altogether explain about 5% of disease variability, basically – which is still not an awful lot,” she said.

Dr. Kondo’s work was supported by the Grant-in-Aid for Scientific Research, the Japan Society for the Promotion of Science, and the Research Grant of the Princess Takamatsu Cancer Research Fund. A patent method for detecting bacteria of genus Fusobacterium in order to diagnose endometriosis (WO2023/ 042714), was submitted (international publication date, March 23, 2023).

Dr. Kommagani’s work was funded, in part, by National Institutes of Health/National Institute of Child Health and Human Development grants R01HD102680, R01HD065435, and R00HD080742. He has no other conflicts of interest. Dr. Zondervan received funding from the Wellcome Trust (216767; 104036; 084766; 212904; 076113 and 085475) and also reported grants from Bayer AG, AbbVie, Volition Rx, MDNA Life Sciences, and Roche Diagnostics outside the submitted work.

Dr. Thomas is a pediatrician and epidemiologist living in Portland, Ore.

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

In 1927, American gynecologist John Sampson published his theory of the etiology of endometriosis, postulating that retrograde flow of endometrial debris flows backward through the fallopian tubes during menses into the peritoneal cavity. Dr. Sampson’s notion remains the main paradigm today, mentioned still in recent articles on the topic, but it has a flaw: Although the theory may account for how endometrial tissue escapes the uterus, a 1984 study revealed that this phenomenon occurs in 90% of women. Why, then, do only 10% of women suffer from endometriosis?

Endometriosis describes a condition in which endometrial tissue lining the uterus is found outside the uterus. The disease can be painful, even crippling. As many as 30% of women in their reproductive years who have endometriosis are infertile as a consequence. The hallmarks of the condition are superficial peritoneal lesions of varying color, cysts in the ovaries, deeper nodules accompanied by scarring and adhesion, primarily in the pelvis but sometimes appearing outside the pelvis. The syndrome can be challenging to identify, requiring laparoscopy for definitive diagnosis.

John Sampson aside, scientists have struggled for the past century to identify the cause, or causes, of endometriosis. Hormones clearly play a role in its development, and women with endometriosis have an elevated risk of clear-cell and endometrioid ovarian cancer and autoimmune diseases. Immunodeficiency also could be to blame, if a faulty immune system fails to find and remove endometrial tissue outside of the uterus. A class of chemicals known as endocrine disruptors have been linked to endometriosis, but not definitively. Twin studies have demonstrated that as many as 50% of cases have a genetic basis, while mice with surgically induced endometriosis have been found to have a higher ratio of harmful to beneficial bacteria in their gut.

Several studies published this year point to new insights into the old mystery – with possible implications for ways to treat the disorder.

Perhaps the most surprising came out earlier this year in Science Translational Medicine, as a team of researchers in Japan reported that invasive infection by bacteria of the genus Fusobacterium may cause at least some cases of endometriosis.

Is Fusobacterium the new Helicobacter pylori?

The researchers, from Nagoya University, are the first to suggest that not only might a single bacterial genus cause endometriosis, but that antibiotic treatment could prevent progression of the disease. Using endometrial tissue obtained from 79 women undergoing hysterectomy for endometriosis and 76 women undergoing hysterectomy for other reasons (such as cervical cancer), the team started with gene expression profiling to explore differences between the two sets of samples. 

They uncovered an interesting chain of cellular events:  macrophages found in endometriotic lesions were secreting transforming growth factor-beta (TGF-beta). TGF-beta in turn stimulated high levels of expression of a gene called TAGLN in fibroblast cells from women with endometriosis but not in fibroblasts from women without endometriosis. 

Turning on TAGLN transformed these previously inactive cells into active myofibroblasts, leading to increased proliferation, mobility, and attachment to mesothelial cells, the layer of cells that line body cavities and internal organs. In short, they identified some key players in an environment that seemed very favorable to the development of endometriosis.

“So, the question is: Why are macrophages activated?” said Yutaka Kondo, MD, PhD, the senior author of the study and a professor in the division of cancer biology at the Nagoya (Japan) University Graduate School of Medicine. “We think that there are always bacteria in the endometrium.”

After reviewing data from a previously published study, they used quantitative polymerase chain reaction to rule out one candidate, Erysipelothrix, but scored on their next attempt, identifying Fusobacterium species in endometrial tissue from 64% of the women with endometriosis, compared with fewer than 10% of the controls.

To confirm that the bacteria could cause disease and were not simply bystanders, Dr. Kondo’s team turned to a mouse model for endometriosis, in which endometrial cells are surgically removed from the uteri of mice and injected into the peritoneum of recipient mice, leading to the formation of endometriotic lesions. When mice received further injections of uterine tissue from mice that were infected with F. nucleatum, their lesions were more numerous when compared with mice that received injections of uninfected uterine tissue. Furthermore, antibiotic treatment with metronidazole or chloramphenicol immediately after surgery largely prevented progression to endometriosis, Dr. Kondo and his colleagues reported.

Dr. Kondo likened this relationship between Fusobacterium and endometriosis to that of the link between Helicobacter pylori and peptic ulcers but acknowledged that he doesn’t have all the answers.

“We need more clinical trials, and also we have to know what kind of treatment might be the most effective for the treatment of endometriosis,” Dr. Kondo said, pointing out that other therapies should still be pursued in addition to antibiotics, as not all the samples from women with endometriosis harbored Fusobacterium. “It might be possible that other mechanisms are also involved.”

Don’t write off gut microbiota

Ramakrishna Kommagani, PhD, associate professor of pathology and immunology at Baylor College of Medicine in Houston, agreed. “Endometriosis is a complex disease, which appears to be impacted by many factors, including genetic, epigenetic, and environmental factors,” Dr. Kommagani said.

Dr. Ramakrishna Kommagani, Baylor College of Medicine Photography Services

Clues in genetic variants

Krina Zondervan, DPhil, professor and head of the department of reproductive and genomic epidemiology at the University of Oxford (England), focuses on genomic, molecular, and epidemiologic approaches to understanding endometriosis.

What’s next?

The chief limitation of human studies looking at mechanisms of endometriosis is that they are correlational: Tissue samples are collected from women with and without endometriosis, often through an invasive procedure such as laparoscopy or biopsy, at one point in time. If a researcher identifies a factor that is more common in women with endometriosis – a particular bacterium or environmental exposure – proving causality is difficult. Currently, the best tools for proving causation are animal models of endometriosis, such as the those used by Dr. Kondo’s and Dr. Kommagani’s teams.

Better diagnostic tools would solve that problem. The ultimate goal is a noninvasive test for endometriosis that would allow clinicians to follow women over time and permit the monitoring of disease progression, or regression, without the need for painful procedures. Such a diagnostic tool would facilitate rigorous longitudinal studies evaluating mechanisms of disease, as well as monitoring outcomes of clinical trials of new treatments.

Could stool samples be the answer?

The Japanese team found that women harboring Fusobacterium in endometrial tissue also had Fusobacterium in vaginal samples taken at the time of their hysterectomy – and stool samples can pick up changes in the gut microbiome.

“Vaginal swab or stool tests are probably the best and easiest for noninvasive early detection,” Dr. Kommagani said. 

Spit tests for DNA would be even easier to obtain. Polygenic risk scores could be developed to estimate an individual’s risk of disease based on the number of variants, but Dr. Zondervan cautioned that not all the genes that account for endometriosis are known.

“The things that we found altogether explain about 5% of disease variability, basically – which is still not an awful lot,” she said.

Dr. Kondo’s work was supported by the Grant-in-Aid for Scientific Research, the Japan Society for the Promotion of Science, and the Research Grant of the Princess Takamatsu Cancer Research Fund. A patent method for detecting bacteria of genus Fusobacterium in order to diagnose endometriosis (WO2023/ 042714), was submitted (international publication date, March 23, 2023).

Dr. Kommagani’s work was funded, in part, by National Institutes of Health/National Institute of Child Health and Human Development grants R01HD102680, R01HD065435, and R00HD080742. He has no other conflicts of interest. Dr. Zondervan received funding from the Wellcome Trust (216767; 104036; 084766; 212904; 076113 and 085475) and also reported grants from Bayer AG, AbbVie, Volition Rx, MDNA Life Sciences, and Roche Diagnostics outside the submitted work.

Dr. Thomas is a pediatrician and epidemiologist living in Portland, Ore.

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

In 1927, American gynecologist John Sampson published his theory of the etiology of endometriosis, postulating that retrograde flow of endometrial debris flows backward through the fallopian tubes during menses into the peritoneal cavity. Dr. Sampson’s notion remains the main paradigm today, mentioned still in recent articles on the topic, but it has a flaw: Although the theory may account for how endometrial tissue escapes the uterus, a 1984 study revealed that this phenomenon occurs in 90% of women. Why, then, do only 10% of women suffer from endometriosis?

Endometriosis describes a condition in which endometrial tissue lining the uterus is found outside the uterus. The disease can be painful, even crippling. As many as 30% of women in their reproductive years who have endometriosis are infertile as a consequence. The hallmarks of the condition are superficial peritoneal lesions of varying color, cysts in the ovaries, deeper nodules accompanied by scarring and adhesion, primarily in the pelvis but sometimes appearing outside the pelvis. The syndrome can be challenging to identify, requiring laparoscopy for definitive diagnosis.

John Sampson aside, scientists have struggled for the past century to identify the cause, or causes, of endometriosis. Hormones clearly play a role in its development, and women with endometriosis have an elevated risk of clear-cell and endometrioid ovarian cancer and autoimmune diseases. Immunodeficiency also could be to blame, if a faulty immune system fails to find and remove endometrial tissue outside of the uterus. A class of chemicals known as endocrine disruptors have been linked to endometriosis, but not definitively. Twin studies have demonstrated that as many as 50% of cases have a genetic basis, while mice with surgically induced endometriosis have been found to have a higher ratio of harmful to beneficial bacteria in their gut.

Several studies published this year point to new insights into the old mystery – with possible implications for ways to treat the disorder.

Perhaps the most surprising came out earlier this year in Science Translational Medicine, as a team of researchers in Japan reported that invasive infection by bacteria of the genus Fusobacterium may cause at least some cases of endometriosis.

Is Fusobacterium the new Helicobacter pylori?

The researchers, from Nagoya University, are the first to suggest that not only might a single bacterial genus cause endometriosis, but that antibiotic treatment could prevent progression of the disease. Using endometrial tissue obtained from 79 women undergoing hysterectomy for endometriosis and 76 women undergoing hysterectomy for other reasons (such as cervical cancer), the team started with gene expression profiling to explore differences between the two sets of samples. 

They uncovered an interesting chain of cellular events:  macrophages found in endometriotic lesions were secreting transforming growth factor-beta (TGF-beta). TGF-beta in turn stimulated high levels of expression of a gene called TAGLN in fibroblast cells from women with endometriosis but not in fibroblasts from women without endometriosis. 

Turning on TAGLN transformed these previously inactive cells into active myofibroblasts, leading to increased proliferation, mobility, and attachment to mesothelial cells, the layer of cells that line body cavities and internal organs. In short, they identified some key players in an environment that seemed very favorable to the development of endometriosis.

“So, the question is: Why are macrophages activated?” said Yutaka Kondo, MD, PhD, the senior author of the study and a professor in the division of cancer biology at the Nagoya (Japan) University Graduate School of Medicine. “We think that there are always bacteria in the endometrium.”

After reviewing data from a previously published study, they used quantitative polymerase chain reaction to rule out one candidate, Erysipelothrix, but scored on their next attempt, identifying Fusobacterium species in endometrial tissue from 64% of the women with endometriosis, compared with fewer than 10% of the controls.

To confirm that the bacteria could cause disease and were not simply bystanders, Dr. Kondo’s team turned to a mouse model for endometriosis, in which endometrial cells are surgically removed from the uteri of mice and injected into the peritoneum of recipient mice, leading to the formation of endometriotic lesions. When mice received further injections of uterine tissue from mice that were infected with F. nucleatum, their lesions were more numerous when compared with mice that received injections of uninfected uterine tissue. Furthermore, antibiotic treatment with metronidazole or chloramphenicol immediately after surgery largely prevented progression to endometriosis, Dr. Kondo and his colleagues reported.

Dr. Kondo likened this relationship between Fusobacterium and endometriosis to that of the link between Helicobacter pylori and peptic ulcers but acknowledged that he doesn’t have all the answers.

“We need more clinical trials, and also we have to know what kind of treatment might be the most effective for the treatment of endometriosis,” Dr. Kondo said, pointing out that other therapies should still be pursued in addition to antibiotics, as not all the samples from women with endometriosis harbored Fusobacterium. “It might be possible that other mechanisms are also involved.”

Don’t write off gut microbiota

Ramakrishna Kommagani, PhD, associate professor of pathology and immunology at Baylor College of Medicine in Houston, agreed. “Endometriosis is a complex disease, which appears to be impacted by many factors, including genetic, epigenetic, and environmental factors,” Dr. Kommagani said.

Dr. Ramakrishna Kommagani, Baylor College of Medicine Photography Services

Clues in genetic variants

Krina Zondervan, DPhil, professor and head of the department of reproductive and genomic epidemiology at the University of Oxford (England), focuses on genomic, molecular, and epidemiologic approaches to understanding endometriosis.

What’s next?

The chief limitation of human studies looking at mechanisms of endometriosis is that they are correlational: Tissue samples are collected from women with and without endometriosis, often through an invasive procedure such as laparoscopy or biopsy, at one point in time. If a researcher identifies a factor that is more common in women with endometriosis – a particular bacterium or environmental exposure – proving causality is difficult. Currently, the best tools for proving causation are animal models of endometriosis, such as the those used by Dr. Kondo’s and Dr. Kommagani’s teams.

Better diagnostic tools would solve that problem. The ultimate goal is a noninvasive test for endometriosis that would allow clinicians to follow women over time and permit the monitoring of disease progression, or regression, without the need for painful procedures. Such a diagnostic tool would facilitate rigorous longitudinal studies evaluating mechanisms of disease, as well as monitoring outcomes of clinical trials of new treatments.

Could stool samples be the answer?

The Japanese team found that women harboring Fusobacterium in endometrial tissue also had Fusobacterium in vaginal samples taken at the time of their hysterectomy – and stool samples can pick up changes in the gut microbiome.

“Vaginal swab or stool tests are probably the best and easiest for noninvasive early detection,” Dr. Kommagani said. 

Spit tests for DNA would be even easier to obtain. Polygenic risk scores could be developed to estimate an individual’s risk of disease based on the number of variants, but Dr. Zondervan cautioned that not all the genes that account for endometriosis are known.

“The things that we found altogether explain about 5% of disease variability, basically – which is still not an awful lot,” she said.

Dr. Kondo’s work was supported by the Grant-in-Aid for Scientific Research, the Japan Society for the Promotion of Science, and the Research Grant of the Princess Takamatsu Cancer Research Fund. A patent method for detecting bacteria of genus Fusobacterium in order to diagnose endometriosis (WO2023/ 042714), was submitted (international publication date, March 23, 2023).

Dr. Kommagani’s work was funded, in part, by National Institutes of Health/National Institute of Child Health and Human Development grants R01HD102680, R01HD065435, and R00HD080742. He has no other conflicts of interest. Dr. Zondervan received funding from the Wellcome Trust (216767; 104036; 084766; 212904; 076113 and 085475) and also reported grants from Bayer AG, AbbVie, Volition Rx, MDNA Life Sciences, and Roche Diagnostics outside the submitted work.

Dr. Thomas is a pediatrician and epidemiologist living in Portland, Ore.

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

SAN DIEGO – An investigational allogeneic stem cell–derived pancreatic islet cell replacement therapy (VX-880, Vertex Pharmaceuticals) continues to show promise as a treatment for type 1 diabetes, according to the latest data, from six patients thus far.

Two of the six are insulin-independent beyond 1 year after receiving the VX-880 infusions, and three others who received them more recently are on a similar trajectory. One dropped out because of reasons unrelated to the therapy. The remaining five are continuing to receive immunosuppressive treatment to prevent rejection of the islets. The six all had undetectable insulin secretion, impaired hypoglycemic awareness, and severe hypoglycemia as the criterion to enter the phase 1/2 study.

“These new findings demonstrate the potential of stem cell–derived islets as a future treatment for patients with type 1 diabetes, signaling a new era that could potentially remove the need for exogenously administered insulin to achieve glycemic control,” said lead investigator Trevor W. Reichman, MD, PhD, surgical director of Pancreas and Islet Cell Transplantation at the University of Toronto.

Dr. Reichman presented the data at the annual scientific sessions of the American Diabetes Association, as an update to the report of the first two patients at last year’s ADA meeting. “We are hopeful that this first-of-its-kind research could be a game-changer for the treatment of type 1 diabetes,” he emphasized.

Co-investigator Maria Cristina Nostro, PhD, senior scientist at McEwen Stem Cell Institute, Toronto, told this news organization: “The clinical trial data are extremely exciting ... I think what was very beautiful is the glucose tolerance test where the insulin secretion was almost like a person without type 1 diabetes. For someone who is in the lab doing basic science research ... all the work we’ve put into this, it’s a labor of love. We’ve been trying to generate the cells for so long, and now to see this, it’s fantastic.”  
 

Two meet primary endpoint, three more on the right path

The six patients had a mean age of 44 years and mean 23 years’ diabetes duration. Three each were male and female. Their mean baseline A1c was 8.1%, and fasting C-peptide was undetectable. They had experienced a mean of 3.3 severe hypoglycemia episodes in the year prior to receiving the infusion, which was delivered to the portal vein similarly to the procedure with cadaveric donor islets, Dr. Reichman said.

The first two patients, including the one who dropped out, received half target doses of VX-880 (trial part A), while the rest, enrolled sequentially (part B), were each administered the full target dose of VX-880 given as a single infusion.

Induction with anti-thymocyte globulin and maintenance immunosuppressants, tacrolimus/sirolimus, was used to protect the cells from the recipient’s immune system. After the infusion, all six participants had C-peptide production, reduction in A1c despite reduced insulin use, and no severe hypoglycemia episodes from day 90 onwards.

Both participants with at least a year of follow-up met the criteria for the primary endpoint of A1c less than 7% with no severe hypoglycemic episodes. The first participant had an A1c of 5.3% at month 21, and the second 6.0% at 12 months. Both had sustained glucose-responsive insulin production with a mixed-meal tolerance test and exceeded the ADA target of more than 70% time-in blood glucose range assessed with continuous glucose monitoring.  
 

Safety: No major concerns thus far

Among all six, adverse events included elevations in the liver enzyme transaminase, occurring shortly after VX-880 infusion that were transient and resolved. No serious adverse events were considered related to the therapy.

Regarding safety, Dr. Nostro said, “With this trial, I have no concerns, because they’re using immunosuppression, so should anything go bad, you remove immunosuppression and the cells would be destroyed by the immune system. So it’s a perfect trial in a way.”

However, she noted, “Moving forward, as we develop something that will be genetically modified ... I think this is the future, because if you’re going to treat people with type 1 diabetes, we have to eliminate the immune suppression. I think the concern would be making sure the genetically modified cells are safe.”

Dr. Nostro, who gave an introductory presentation at the beginning of the symposium where the VX-880 data were presented, explained that in a current trial of genetically modified cells, “they’re placing the product inside a device so that the cells would be retrievable. It might not be perfect, but at least it’s going to tell us whether the genetically modified product is safe, which I think is what we need to use.”

In her talk, Dr. Nostro also summarized ongoing work in this field involving efforts to improve the generation of stem cell–derived islets with no “off target” non-beta cells to ensure consistency, optimization of engraftment, and elimination of immunosuppression. “[VX-880] is the beginning. This is the first product that’s going to be in the clinic, but I can imagine how 5, 10 years from now we will have different and more enhanced solutions for type 1 diabetes and who knows, maybe even for type 2.” 

Based on the data so far, the VX-880 trial is now moving to part C, in which 10 concurrently enrolled participants will receive the full target dose of the product. The trial, previously exclusively in the United States, has now expanded to additional sites in Norway, Switzerland, and the Netherlands. 

The study was funded by Vertex. Dr. Reichman is on advisory boards for Vertex and Sernova. Dr. Nostro was a consultant for Sigilon Therapeutics from 2018-2022, currently receives research support from Universal Cells, and has a patent licensed to Sernova.

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

SAN DIEGO – An investigational allogeneic stem cell–derived pancreatic islet cell replacement therapy (VX-880, Vertex Pharmaceuticals) continues to show promise as a treatment for type 1 diabetes, according to the latest data, from six patients thus far.

Two of the six are insulin-independent beyond 1 year after receiving the VX-880 infusions, and three others who received them more recently are on a similar trajectory. One dropped out because of reasons unrelated to the therapy. The remaining five are continuing to receive immunosuppressive treatment to prevent rejection of the islets. The six all had undetectable insulin secretion, impaired hypoglycemic awareness, and severe hypoglycemia as the criterion to enter the phase 1/2 study.

“These new findings demonstrate the potential of stem cell–derived islets as a future treatment for patients with type 1 diabetes, signaling a new era that could potentially remove the need for exogenously administered insulin to achieve glycemic control,” said lead investigator Trevor W. Reichman, MD, PhD, surgical director of Pancreas and Islet Cell Transplantation at the University of Toronto.

Dr. Reichman presented the data at the annual scientific sessions of the American Diabetes Association, as an update to the report of the first two patients at last year’s ADA meeting. “We are hopeful that this first-of-its-kind research could be a game-changer for the treatment of type 1 diabetes,” he emphasized.

Co-investigator Maria Cristina Nostro, PhD, senior scientist at McEwen Stem Cell Institute, Toronto, told this news organization: “The clinical trial data are extremely exciting ... I think what was very beautiful is the glucose tolerance test where the insulin secretion was almost like a person without type 1 diabetes. For someone who is in the lab doing basic science research ... all the work we’ve put into this, it’s a labor of love. We’ve been trying to generate the cells for so long, and now to see this, it’s fantastic.”  
 

Two meet primary endpoint, three more on the right path

The six patients had a mean age of 44 years and mean 23 years’ diabetes duration. Three each were male and female. Their mean baseline A1c was 8.1%, and fasting C-peptide was undetectable. They had experienced a mean of 3.3 severe hypoglycemia episodes in the year prior to receiving the infusion, which was delivered to the portal vein similarly to the procedure with cadaveric donor islets, Dr. Reichman said.

The first two patients, including the one who dropped out, received half target doses of VX-880 (trial part A), while the rest, enrolled sequentially (part B), were each administered the full target dose of VX-880 given as a single infusion.

Induction with anti-thymocyte globulin and maintenance immunosuppressants, tacrolimus/sirolimus, was used to protect the cells from the recipient’s immune system. After the infusion, all six participants had C-peptide production, reduction in A1c despite reduced insulin use, and no severe hypoglycemia episodes from day 90 onwards.

Both participants with at least a year of follow-up met the criteria for the primary endpoint of A1c less than 7% with no severe hypoglycemic episodes. The first participant had an A1c of 5.3% at month 21, and the second 6.0% at 12 months. Both had sustained glucose-responsive insulin production with a mixed-meal tolerance test and exceeded the ADA target of more than 70% time-in blood glucose range assessed with continuous glucose monitoring.  
 

Safety: No major concerns thus far

Among all six, adverse events included elevations in the liver enzyme transaminase, occurring shortly after VX-880 infusion that were transient and resolved. No serious adverse events were considered related to the therapy.

Regarding safety, Dr. Nostro said, “With this trial, I have no concerns, because they’re using immunosuppression, so should anything go bad, you remove immunosuppression and the cells would be destroyed by the immune system. So it’s a perfect trial in a way.”

However, she noted, “Moving forward, as we develop something that will be genetically modified ... I think this is the future, because if you’re going to treat people with type 1 diabetes, we have to eliminate the immune suppression. I think the concern would be making sure the genetically modified cells are safe.”

Dr. Nostro, who gave an introductory presentation at the beginning of the symposium where the VX-880 data were presented, explained that in a current trial of genetically modified cells, “they’re placing the product inside a device so that the cells would be retrievable. It might not be perfect, but at least it’s going to tell us whether the genetically modified product is safe, which I think is what we need to use.”

In her talk, Dr. Nostro also summarized ongoing work in this field involving efforts to improve the generation of stem cell–derived islets with no “off target” non-beta cells to ensure consistency, optimization of engraftment, and elimination of immunosuppression. “[VX-880] is the beginning. This is the first product that’s going to be in the clinic, but I can imagine how 5, 10 years from now we will have different and more enhanced solutions for type 1 diabetes and who knows, maybe even for type 2.” 

Based on the data so far, the VX-880 trial is now moving to part C, in which 10 concurrently enrolled participants will receive the full target dose of the product. The trial, previously exclusively in the United States, has now expanded to additional sites in Norway, Switzerland, and the Netherlands. 

The study was funded by Vertex. Dr. Reichman is on advisory boards for Vertex and Sernova. Dr. Nostro was a consultant for Sigilon Therapeutics from 2018-2022, currently receives research support from Universal Cells, and has a patent licensed to Sernova.

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

SAN DIEGO – An investigational allogeneic stem cell–derived pancreatic islet cell replacement therapy (VX-880, Vertex Pharmaceuticals) continues to show promise as a treatment for type 1 diabetes, according to the latest data, from six patients thus far.

Two of the six are insulin-independent beyond 1 year after receiving the VX-880 infusions, and three others who received them more recently are on a similar trajectory. One dropped out because of reasons unrelated to the therapy. The remaining five are continuing to receive immunosuppressive treatment to prevent rejection of the islets. The six all had undetectable insulin secretion, impaired hypoglycemic awareness, and severe hypoglycemia as the criterion to enter the phase 1/2 study.

“These new findings demonstrate the potential of stem cell–derived islets as a future treatment for patients with type 1 diabetes, signaling a new era that could potentially remove the need for exogenously administered insulin to achieve glycemic control,” said lead investigator Trevor W. Reichman, MD, PhD, surgical director of Pancreas and Islet Cell Transplantation at the University of Toronto.

Dr. Reichman presented the data at the annual scientific sessions of the American Diabetes Association, as an update to the report of the first two patients at last year’s ADA meeting. “We are hopeful that this first-of-its-kind research could be a game-changer for the treatment of type 1 diabetes,” he emphasized.

Co-investigator Maria Cristina Nostro, PhD, senior scientist at McEwen Stem Cell Institute, Toronto, told this news organization: “The clinical trial data are extremely exciting ... I think what was very beautiful is the glucose tolerance test where the insulin secretion was almost like a person without type 1 diabetes. For someone who is in the lab doing basic science research ... all the work we’ve put into this, it’s a labor of love. We’ve been trying to generate the cells for so long, and now to see this, it’s fantastic.”  
 

Two meet primary endpoint, three more on the right path

The six patients had a mean age of 44 years and mean 23 years’ diabetes duration. Three each were male and female. Their mean baseline A1c was 8.1%, and fasting C-peptide was undetectable. They had experienced a mean of 3.3 severe hypoglycemia episodes in the year prior to receiving the infusion, which was delivered to the portal vein similarly to the procedure with cadaveric donor islets, Dr. Reichman said.

The first two patients, including the one who dropped out, received half target doses of VX-880 (trial part A), while the rest, enrolled sequentially (part B), were each administered the full target dose of VX-880 given as a single infusion.

Induction with anti-thymocyte globulin and maintenance immunosuppressants, tacrolimus/sirolimus, was used to protect the cells from the recipient’s immune system. After the infusion, all six participants had C-peptide production, reduction in A1c despite reduced insulin use, and no severe hypoglycemia episodes from day 90 onwards.

Both participants with at least a year of follow-up met the criteria for the primary endpoint of A1c less than 7% with no severe hypoglycemic episodes. The first participant had an A1c of 5.3% at month 21, and the second 6.0% at 12 months. Both had sustained glucose-responsive insulin production with a mixed-meal tolerance test and exceeded the ADA target of more than 70% time-in blood glucose range assessed with continuous glucose monitoring.  
 

Safety: No major concerns thus far

Among all six, adverse events included elevations in the liver enzyme transaminase, occurring shortly after VX-880 infusion that were transient and resolved. No serious adverse events were considered related to the therapy.

Regarding safety, Dr. Nostro said, “With this trial, I have no concerns, because they’re using immunosuppression, so should anything go bad, you remove immunosuppression and the cells would be destroyed by the immune system. So it’s a perfect trial in a way.”

However, she noted, “Moving forward, as we develop something that will be genetically modified ... I think this is the future, because if you’re going to treat people with type 1 diabetes, we have to eliminate the immune suppression. I think the concern would be making sure the genetically modified cells are safe.”

Dr. Nostro, who gave an introductory presentation at the beginning of the symposium where the VX-880 data were presented, explained that in a current trial of genetically modified cells, “they’re placing the product inside a device so that the cells would be retrievable. It might not be perfect, but at least it’s going to tell us whether the genetically modified product is safe, which I think is what we need to use.”

In her talk, Dr. Nostro also summarized ongoing work in this field involving efforts to improve the generation of stem cell–derived islets with no “off target” non-beta cells to ensure consistency, optimization of engraftment, and elimination of immunosuppression. “[VX-880] is the beginning. This is the first product that’s going to be in the clinic, but I can imagine how 5, 10 years from now we will have different and more enhanced solutions for type 1 diabetes and who knows, maybe even for type 2.” 

Based on the data so far, the VX-880 trial is now moving to part C, in which 10 concurrently enrolled participants will receive the full target dose of the product. The trial, previously exclusively in the United States, has now expanded to additional sites in Norway, Switzerland, and the Netherlands. 

The study was funded by Vertex. Dr. Reichman is on advisory boards for Vertex and Sernova. Dr. Nostro was a consultant for Sigilon Therapeutics from 2018-2022, currently receives research support from Universal Cells, and has a patent licensed to Sernova.

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

In the mid-1990s, when Somnath Saha was a medical resident at the University of California, San Francisco, School of Medicine, he came across a cluster of studies showing that Black people with cardiovascular disease were treated less aggressively, compared with White people. The findings were “appalling” to the young physician who describes himself as a “Brown kid from suburban St. Louis, Missouri.”

Dr. Saha had experienced racism growing up, but was surprised to see such clear signs of inequity within the field of medicine. “There was an injustice happening in my own backyard,” he said.

Indeed, bias towards Black patients can be challenging because many doctors either don’t realize their biases or won’t admit to them. Dr. Saha, now a professor of medicine at Johns Hopkins University, likens implicit bias – unconscious judgments that can affect behavior – to “an invisible force.”

While numerous studies have found evidence of racial discrimination in medicine through patient reports, less is known about how implicit bias shows up in medical records, and how stigmatizing language in patient notes can affect the care that Black patients receive.

That’s part of the reason why, about 7 years ago, Dr. Saha began poring through medical records. For him, they offered a window into doctors’ feelings about their patients.

As part of his latest research, Dr. Saha’s team examined the records of nearly 19,000 patients, paying particular attention to negative descriptions that may influence a clinician’s decision-making. The data, which were recently presented at the 2023 American Association for the Advancement of Science annual meeting, aren’t yet published, but it suggests what researchers have long speculated: Doctors are more likely to use negative language when describing a Black patient than they are in describing a White patient. The notes provide, at times, a surprisingly candid view of how patients are perceived by doctors, and how their race may affect treatment.

The study adds to a concerning body of literature that explores how racial bias manifests in health care. Researchers like Dr. Saha are interested in how such prejudice leaves a paper trail, which can then reinforce negative stereotypes. Because medical notes get passed between physicians, Dr. Saha’s research suggests they can affect the health of Black patients down the line.

“The medical record is like a rap sheet, it stays with you,” Dr. Saha said, adding that “these things that we say about patients get eternalized.”

Research has long shown that Black patients experience worse health outcomes, compared with White patients, in part because of biased medical care. Black women, for example, are three times more likely to die from pregnancy-related complications, compared with White women. And Black patients often report feeling like physicians don’t listen to their needs or don’t believe their concerns.

Studies appear to back that up. Last year, researchers at the University of Washington found that non-Hispanic White children who went to the emergency room for migraines were more likely to receive pain medications, compared with children of color – even though the two groups reported similar pain scores. Other studies echo similar results for adults as well.

While Michael Sun, a resident physician at the University of Chicago, knew about such health disparities, by his own admission, he was naive about the biases in medical records. At that time, Dr. Sun had “no experience in the medical record, in documentation, or in physician language and culture,” he said.

But in Dr. Sun’s first year of medical school, his professor shared the story of a longtime patient, whom she had referred to an outside specialist. In his recollection, the professor regarded her patient in kind terms, having worked with her for some time to treat a chronic illness. But when she got the specialist’s notes back, she was confused by the description of her patient: Terms like “really difficult,” “noncompliant,” and “uninterested in their health.” This was not the patient she remembered.

“This, as a first-year medical student, really shocked me because I had taken at face value that any words used in notes were true, were valid, or rightfully used,” said Dr. Sun. “I realized all the ways that bias, untold stories, and unknown context may change the way that we view our patients.”

Like Dr. Saha, Dr. Sun became interested in how bias influenced the relationship between doctor and patient, and how these interactions were memorialized in the medical record. In a study published last year, he and his colleagues looked at more than 40,000 medical notes from 18,459 patients. Researchers first manually combed through the notes, then used this information to teach a machine learning algorithm to interpret the connotations of words. Compared with White patients, Black patients were about 2.5 times more likely to be described negatively, with terms like “challenging,” “angry,” and “noncompliant.”

Dr. Saha has used similar methodology – and found similar results – in his own research. For the study presented at the AAAS meeting, his team first read through more than 100,000 medical notes to identify language their team considered to be disparaging – which they chose based on a list of words and phrases from prior research. They then used machine learning to find those terms in medical notes, taking care to ensure context was considered. For example, if the word “aggressive” was used to describe a treatment plan, it was excluded from their analysis. But if “aggressive” was used to describe the patient, it was included.

Dr. Saha pointed to three categories of stigmatizing language that were the most pronounced: expressing doubt or disbelief in what the patient said, such as reporting they “claimed” to experience pain; insinuating that the patient was confrontational, using words like “belligerent” or combative;” and suggesting a patient was not cooperating with a doctor’s orders by saying they “refused” medical advice.

“We’ve known for some time that in health care we sometimes use language that can be confusing or even insulting,” Matthew Wynia, director of the Center for Bioethics and Humanities at the University of Colorado at Denver, Aurora, wrote in an email to Undark. But he noted that research such as Dr. Saha’s has drawn attention to a previously overlooked issue. Describing a patient as “noncompliant” with medications, he said, “makes it sound like the patient is intentionally refusing to follow advice when, in fact, there are many reasons why people might not be able to follow our advice and intentional refusal isn’t even a very common one.”

Dr. Saha noted that, if a patient isn’t taking their medication, it’s important that doctors note that, so that the next physician doesn’t overprescribe them. But the concern, he said, is whether doctors are using these terms appropriately and for the right reasons because of the implications they have for patients.

If a doctor portrays their patient negatively, Dr. Saha said, it can “trigger the next clinician to read them and formulate a potentially negative opinion about that patient” before they’ve even had a chance to interact.

Still, stigmatizing language is only one small piece of the puzzle. What also matters, Dr. Saha said, is how those words can have an impact on care. In prior work, Dr. Saha has shown how implicit and, in some cases, explicit bias, affects a patient’s treatment recommendations.

In a 2018 study, Dr. Saha, along with his wife, Mary Catherine Beach – also a professor at Johns Hopkins University – combed through reports of patients with sickle cell anemia. Their team focused on that particular population since sickle cell patients are some of the most stigmatized in the health care system: Most patients are Black and many require regular doses of opioids for pain management.

In the notes, they found numerous examples of details that were irrelevant to patients’ health concerns: phrases like “girlfriend requests bus token,” “cursing at nurse,” “girlfriend on bed with shoes on,” and “narcotic dependent.”

Dr. Saha and Dr. Beach wanted to see how these remarks might influence a physician’s treatment recommendations, so they used vignettes they had found in the medical records of sickle cell patients. They showed either a vignette which had described patients negatively, or one that was edited with neutral language. Then they asked medical students and residents about the dose of pain medication they would hypothetically recommend. Dr. Beach said that the purpose was to see how what she called “dog whistles about social class or race or something that would make the person seem less educated” would impact treatment recommendations.

The study found that medical notes with stigmatizing language were associated with “less aggressive management of the patient’s pain.” Doctors who read the stigmatizing language chart notes prescribed less pain medication to patients even in cases when they commented that their pain was a 10 out of 10.

“The fact that we were able to show that this bias transmits to the next doctor has been the thing that I think motivates doctors to take it seriously,” said Dr. Beach.

Pain management has become a focal point for researchers because many of the most glaring racial tropes about patient care have revolved around pain. In 2016, a study conducted at the University of Virginia found that half of the 418 medical students and residents surveyed endorsed false beliefs about Black patients. For example, that “Blacks’ nerve endings are less sensitive than whites” and “Blacks’ skin is thicker than whites.” What’s more, those who endorsed these false beliefs also rated Black patients’ pain as lower than White patients’.

Antoinette M. Schoenthaler, a professor of population health and medicine at New York University and associate director of research at the school’s Institute for Excellence in Health Equity, said that disparities in pain management are pervasive and widespread across the medical profession. They seep into treatments for sickle cell anemia, but also prenatal care. As a result, she said, Black patients across the board are often fearful of attending appointments.

“Patients of color go into an appointment with feelings of heightened anxiety because they’re expecting mistreatment,” said Dr. Schoenthaler. “We’ve seen minoritized patients have higher blood pressure in the context of a clinical visit because of these expectations of anxiety and fear, and disappointment.”

Disparities in health care between Black and White patients is a complex issue – one which can’t be solved by addressing medical records alone. But, for researchers like Dr. Saha, Dr. Beach, and Dr. Sun, they can offer a road map that outlines where differences in care begin. The words a clinician uses sets the path for how a patient may be treated in the future.

One way to combat implicit bias, Dr. Saha suggested, is to use an algorithm that identifies stigmatizing language to “give hospital departments or clinicians report cards on how much of this language that they’re using.” By benchmarking averages against one another, clinicians could know if they’re using stigmatizing language at an above average rate. This is something he is considering for future research.

When clinicians are made aware of their biases – when the unconscious becomes conscious – Dr. Saha told Undark that he’s optimistic they’ll work to change them: “We’re using language that we’ve used forever without realizing the potential impact that it has on patient care.”

This article originated on Undark. A version of this article appeared on Medscape.com.

In the mid-1990s, when Somnath Saha was a medical resident at the University of California, San Francisco, School of Medicine, he came across a cluster of studies showing that Black people with cardiovascular disease were treated less aggressively, compared with White people. The findings were “appalling” to the young physician who describes himself as a “Brown kid from suburban St. Louis, Missouri.”

Dr. Saha had experienced racism growing up, but was surprised to see such clear signs of inequity within the field of medicine. “There was an injustice happening in my own backyard,” he said.

Indeed, bias towards Black patients can be challenging because many doctors either don’t realize their biases or won’t admit to them. Dr. Saha, now a professor of medicine at Johns Hopkins University, likens implicit bias – unconscious judgments that can affect behavior – to “an invisible force.”

While numerous studies have found evidence of racial discrimination in medicine through patient reports, less is known about how implicit bias shows up in medical records, and how stigmatizing language in patient notes can affect the care that Black patients receive.

That’s part of the reason why, about 7 years ago, Dr. Saha began poring through medical records. For him, they offered a window into doctors’ feelings about their patients.

As part of his latest research, Dr. Saha’s team examined the records of nearly 19,000 patients, paying particular attention to negative descriptions that may influence a clinician’s decision-making. The data, which were recently presented at the 2023 American Association for the Advancement of Science annual meeting, aren’t yet published, but it suggests what researchers have long speculated: Doctors are more likely to use negative language when describing a Black patient than they are in describing a White patient. The notes provide, at times, a surprisingly candid view of how patients are perceived by doctors, and how their race may affect treatment.

The study adds to a concerning body of literature that explores how racial bias manifests in health care. Researchers like Dr. Saha are interested in how such prejudice leaves a paper trail, which can then reinforce negative stereotypes. Because medical notes get passed between physicians, Dr. Saha’s research suggests they can affect the health of Black patients down the line.

“The medical record is like a rap sheet, it stays with you,” Dr. Saha said, adding that “these things that we say about patients get eternalized.”

Research has long shown that Black patients experience worse health outcomes, compared with White patients, in part because of biased medical care. Black women, for example, are three times more likely to die from pregnancy-related complications, compared with White women. And Black patients often report feeling like physicians don’t listen to their needs or don’t believe their concerns.

Studies appear to back that up. Last year, researchers at the University of Washington found that non-Hispanic White children who went to the emergency room for migraines were more likely to receive pain medications, compared with children of color – even though the two groups reported similar pain scores. Other studies echo similar results for adults as well.

While Michael Sun, a resident physician at the University of Chicago, knew about such health disparities, by his own admission, he was naive about the biases in medical records. At that time, Dr. Sun had “no experience in the medical record, in documentation, or in physician language and culture,” he said.

But in Dr. Sun’s first year of medical school, his professor shared the story of a longtime patient, whom she had referred to an outside specialist. In his recollection, the professor regarded her patient in kind terms, having worked with her for some time to treat a chronic illness. But when she got the specialist’s notes back, she was confused by the description of her patient: Terms like “really difficult,” “noncompliant,” and “uninterested in their health.” This was not the patient she remembered.

“This, as a first-year medical student, really shocked me because I had taken at face value that any words used in notes were true, were valid, or rightfully used,” said Dr. Sun. “I realized all the ways that bias, untold stories, and unknown context may change the way that we view our patients.”

Like Dr. Saha, Dr. Sun became interested in how bias influenced the relationship between doctor and patient, and how these interactions were memorialized in the medical record. In a study published last year, he and his colleagues looked at more than 40,000 medical notes from 18,459 patients. Researchers first manually combed through the notes, then used this information to teach a machine learning algorithm to interpret the connotations of words. Compared with White patients, Black patients were about 2.5 times more likely to be described negatively, with terms like “challenging,” “angry,” and “noncompliant.”

Dr. Saha has used similar methodology – and found similar results – in his own research. For the study presented at the AAAS meeting, his team first read through more than 100,000 medical notes to identify language their team considered to be disparaging – which they chose based on a list of words and phrases from prior research. They then used machine learning to find those terms in medical notes, taking care to ensure context was considered. For example, if the word “aggressive” was used to describe a treatment plan, it was excluded from their analysis. But if “aggressive” was used to describe the patient, it was included.

Dr. Saha pointed to three categories of stigmatizing language that were the most pronounced: expressing doubt or disbelief in what the patient said, such as reporting they “claimed” to experience pain; insinuating that the patient was confrontational, using words like “belligerent” or combative;” and suggesting a patient was not cooperating with a doctor’s orders by saying they “refused” medical advice.

“We’ve known for some time that in health care we sometimes use language that can be confusing or even insulting,” Matthew Wynia, director of the Center for Bioethics and Humanities at the University of Colorado at Denver, Aurora, wrote in an email to Undark. But he noted that research such as Dr. Saha’s has drawn attention to a previously overlooked issue. Describing a patient as “noncompliant” with medications, he said, “makes it sound like the patient is intentionally refusing to follow advice when, in fact, there are many reasons why people might not be able to follow our advice and intentional refusal isn’t even a very common one.”

Dr. Saha noted that, if a patient isn’t taking their medication, it’s important that doctors note that, so that the next physician doesn’t overprescribe them. But the concern, he said, is whether doctors are using these terms appropriately and for the right reasons because of the implications they have for patients.

If a doctor portrays their patient negatively, Dr. Saha said, it can “trigger the next clinician to read them and formulate a potentially negative opinion about that patient” before they’ve even had a chance to interact.

Still, stigmatizing language is only one small piece of the puzzle. What also matters, Dr. Saha said, is how those words can have an impact on care. In prior work, Dr. Saha has shown how implicit and, in some cases, explicit bias, affects a patient’s treatment recommendations.

In a 2018 study, Dr. Saha, along with his wife, Mary Catherine Beach – also a professor at Johns Hopkins University – combed through reports of patients with sickle cell anemia. Their team focused on that particular population since sickle cell patients are some of the most stigmatized in the health care system: Most patients are Black and many require regular doses of opioids for pain management.

In the notes, they found numerous examples of details that were irrelevant to patients’ health concerns: phrases like “girlfriend requests bus token,” “cursing at nurse,” “girlfriend on bed with shoes on,” and “narcotic dependent.”

Dr. Saha and Dr. Beach wanted to see how these remarks might influence a physician’s treatment recommendations, so they used vignettes they had found in the medical records of sickle cell patients. They showed either a vignette which had described patients negatively, or one that was edited with neutral language. Then they asked medical students and residents about the dose of pain medication they would hypothetically recommend. Dr. Beach said that the purpose was to see how what she called “dog whistles about social class or race or something that would make the person seem less educated” would impact treatment recommendations.

The study found that medical notes with stigmatizing language were associated with “less aggressive management of the patient’s pain.” Doctors who read the stigmatizing language chart notes prescribed less pain medication to patients even in cases when they commented that their pain was a 10 out of 10.

“The fact that we were able to show that this bias transmits to the next doctor has been the thing that I think motivates doctors to take it seriously,” said Dr. Beach.

Pain management has become a focal point for researchers because many of the most glaring racial tropes about patient care have revolved around pain. In 2016, a study conducted at the University of Virginia found that half of the 418 medical students and residents surveyed endorsed false beliefs about Black patients. For example, that “Blacks’ nerve endings are less sensitive than whites” and “Blacks’ skin is thicker than whites.” What’s more, those who endorsed these false beliefs also rated Black patients’ pain as lower than White patients’.

Antoinette M. Schoenthaler, a professor of population health and medicine at New York University and associate director of research at the school’s Institute for Excellence in Health Equity, said that disparities in pain management are pervasive and widespread across the medical profession. They seep into treatments for sickle cell anemia, but also prenatal care. As a result, she said, Black patients across the board are often fearful of attending appointments.

“Patients of color go into an appointment with feelings of heightened anxiety because they’re expecting mistreatment,” said Dr. Schoenthaler. “We’ve seen minoritized patients have higher blood pressure in the context of a clinical visit because of these expectations of anxiety and fear, and disappointment.”

Disparities in health care between Black and White patients is a complex issue – one which can’t be solved by addressing medical records alone. But, for researchers like Dr. Saha, Dr. Beach, and Dr. Sun, they can offer a road map that outlines where differences in care begin. The words a clinician uses sets the path for how a patient may be treated in the future.

One way to combat implicit bias, Dr. Saha suggested, is to use an algorithm that identifies stigmatizing language to “give hospital departments or clinicians report cards on how much of this language that they’re using.” By benchmarking averages against one another, clinicians could know if they’re using stigmatizing language at an above average rate. This is something he is considering for future research.

When clinicians are made aware of their biases – when the unconscious becomes conscious – Dr. Saha told Undark that he’s optimistic they’ll work to change them: “We’re using language that we’ve used forever without realizing the potential impact that it has on patient care.”

This article originated on Undark. A version of this article appeared on Medscape.com.

In the mid-1990s, when Somnath Saha was a medical resident at the University of California, San Francisco, School of Medicine, he came across a cluster of studies showing that Black people with cardiovascular disease were treated less aggressively, compared with White people. The findings were “appalling” to the young physician who describes himself as a “Brown kid from suburban St. Louis, Missouri.”

Dr. Saha had experienced racism growing up, but was surprised to see such clear signs of inequity within the field of medicine. “There was an injustice happening in my own backyard,” he said.

Indeed, bias towards Black patients can be challenging because many doctors either don’t realize their biases or won’t admit to them. Dr. Saha, now a professor of medicine at Johns Hopkins University, likens implicit bias – unconscious judgments that can affect behavior – to “an invisible force.”

While numerous studies have found evidence of racial discrimination in medicine through patient reports, less is known about how implicit bias shows up in medical records, and how stigmatizing language in patient notes can affect the care that Black patients receive.

That’s part of the reason why, about 7 years ago, Dr. Saha began poring through medical records. For him, they offered a window into doctors’ feelings about their patients.

As part of his latest research, Dr. Saha’s team examined the records of nearly 19,000 patients, paying particular attention to negative descriptions that may influence a clinician’s decision-making. The data, which were recently presented at the 2023 American Association for the Advancement of Science annual meeting, aren’t yet published, but it suggests what researchers have long speculated: Doctors are more likely to use negative language when describing a Black patient than they are in describing a White patient. The notes provide, at times, a surprisingly candid view of how patients are perceived by doctors, and how their race may affect treatment.

The study adds to a concerning body of literature that explores how racial bias manifests in health care. Researchers like Dr. Saha are interested in how such prejudice leaves a paper trail, which can then reinforce negative stereotypes. Because medical notes get passed between physicians, Dr. Saha’s research suggests they can affect the health of Black patients down the line.

“The medical record is like a rap sheet, it stays with you,” Dr. Saha said, adding that “these things that we say about patients get eternalized.”

Research has long shown that Black patients experience worse health outcomes, compared with White patients, in part because of biased medical care. Black women, for example, are three times more likely to die from pregnancy-related complications, compared with White women. And Black patients often report feeling like physicians don’t listen to their needs or don’t believe their concerns.

Studies appear to back that up. Last year, researchers at the University of Washington found that non-Hispanic White children who went to the emergency room for migraines were more likely to receive pain medications, compared with children of color – even though the two groups reported similar pain scores. Other studies echo similar results for adults as well.

While Michael Sun, a resident physician at the University of Chicago, knew about such health disparities, by his own admission, he was naive about the biases in medical records. At that time, Dr. Sun had “no experience in the medical record, in documentation, or in physician language and culture,” he said.

But in Dr. Sun’s first year of medical school, his professor shared the story of a longtime patient, whom she had referred to an outside specialist. In his recollection, the professor regarded her patient in kind terms, having worked with her for some time to treat a chronic illness. But when she got the specialist’s notes back, she was confused by the description of her patient: Terms like “really difficult,” “noncompliant,” and “uninterested in their health.” This was not the patient she remembered.

“This, as a first-year medical student, really shocked me because I had taken at face value that any words used in notes were true, were valid, or rightfully used,” said Dr. Sun. “I realized all the ways that bias, untold stories, and unknown context may change the way that we view our patients.”

Like Dr. Saha, Dr. Sun became interested in how bias influenced the relationship between doctor and patient, and how these interactions were memorialized in the medical record. In a study published last year, he and his colleagues looked at more than 40,000 medical notes from 18,459 patients. Researchers first manually combed through the notes, then used this information to teach a machine learning algorithm to interpret the connotations of words. Compared with White patients, Black patients were about 2.5 times more likely to be described negatively, with terms like “challenging,” “angry,” and “noncompliant.”

Dr. Saha has used similar methodology – and found similar results – in his own research. For the study presented at the AAAS meeting, his team first read through more than 100,000 medical notes to identify language their team considered to be disparaging – which they chose based on a list of words and phrases from prior research. They then used machine learning to find those terms in medical notes, taking care to ensure context was considered. For example, if the word “aggressive” was used to describe a treatment plan, it was excluded from their analysis. But if “aggressive” was used to describe the patient, it was included.

Dr. Saha pointed to three categories of stigmatizing language that were the most pronounced: expressing doubt or disbelief in what the patient said, such as reporting they “claimed” to experience pain; insinuating that the patient was confrontational, using words like “belligerent” or combative;” and suggesting a patient was not cooperating with a doctor’s orders by saying they “refused” medical advice.

“We’ve known for some time that in health care we sometimes use language that can be confusing or even insulting,” Matthew Wynia, director of the Center for Bioethics and Humanities at the University of Colorado at Denver, Aurora, wrote in an email to Undark. But he noted that research such as Dr. Saha’s has drawn attention to a previously overlooked issue. Describing a patient as “noncompliant” with medications, he said, “makes it sound like the patient is intentionally refusing to follow advice when, in fact, there are many reasons why people might not be able to follow our advice and intentional refusal isn’t even a very common one.”

Dr. Saha noted that, if a patient isn’t taking their medication, it’s important that doctors note that, so that the next physician doesn’t overprescribe them. But the concern, he said, is whether doctors are using these terms appropriately and for the right reasons because of the implications they have for patients.

If a doctor portrays their patient negatively, Dr. Saha said, it can “trigger the next clinician to read them and formulate a potentially negative opinion about that patient” before they’ve even had a chance to interact.

Still, stigmatizing language is only one small piece of the puzzle. What also matters, Dr. Saha said, is how those words can have an impact on care. In prior work, Dr. Saha has shown how implicit and, in some cases, explicit bias, affects a patient’s treatment recommendations.

In a 2018 study, Dr. Saha, along with his wife, Mary Catherine Beach – also a professor at Johns Hopkins University – combed through reports of patients with sickle cell anemia. Their team focused on that particular population since sickle cell patients are some of the most stigmatized in the health care system: Most patients are Black and many require regular doses of opioids for pain management.

In the notes, they found numerous examples of details that were irrelevant to patients’ health concerns: phrases like “girlfriend requests bus token,” “cursing at nurse,” “girlfriend on bed with shoes on,” and “narcotic dependent.”

Dr. Saha and Dr. Beach wanted to see how these remarks might influence a physician’s treatment recommendations, so they used vignettes they had found in the medical records of sickle cell patients. They showed either a vignette which had described patients negatively, or one that was edited with neutral language. Then they asked medical students and residents about the dose of pain medication they would hypothetically recommend. Dr. Beach said that the purpose was to see how what she called “dog whistles about social class or race or something that would make the person seem less educated” would impact treatment recommendations.

The study found that medical notes with stigmatizing language were associated with “less aggressive management of the patient’s pain.” Doctors who read the stigmatizing language chart notes prescribed less pain medication to patients even in cases when they commented that their pain was a 10 out of 10.

“The fact that we were able to show that this bias transmits to the next doctor has been the thing that I think motivates doctors to take it seriously,” said Dr. Beach.

Pain management has become a focal point for researchers because many of the most glaring racial tropes about patient care have revolved around pain. In 2016, a study conducted at the University of Virginia found that half of the 418 medical students and residents surveyed endorsed false beliefs about Black patients. For example, that “Blacks’ nerve endings are less sensitive than whites” and “Blacks’ skin is thicker than whites.” What’s more, those who endorsed these false beliefs also rated Black patients’ pain as lower than White patients’.

Antoinette M. Schoenthaler, a professor of population health and medicine at New York University and associate director of research at the school’s Institute for Excellence in Health Equity, said that disparities in pain management are pervasive and widespread across the medical profession. They seep into treatments for sickle cell anemia, but also prenatal care. As a result, she said, Black patients across the board are often fearful of attending appointments.

“Patients of color go into an appointment with feelings of heightened anxiety because they’re expecting mistreatment,” said Dr. Schoenthaler. “We’ve seen minoritized patients have higher blood pressure in the context of a clinical visit because of these expectations of anxiety and fear, and disappointment.”

Disparities in health care between Black and White patients is a complex issue – one which can’t be solved by addressing medical records alone. But, for researchers like Dr. Saha, Dr. Beach, and Dr. Sun, they can offer a road map that outlines where differences in care begin. The words a clinician uses sets the path for how a patient may be treated in the future.

One way to combat implicit bias, Dr. Saha suggested, is to use an algorithm that identifies stigmatizing language to “give hospital departments or clinicians report cards on how much of this language that they’re using.” By benchmarking averages against one another, clinicians could know if they’re using stigmatizing language at an above average rate. This is something he is considering for future research.

When clinicians are made aware of their biases – when the unconscious becomes conscious – Dr. Saha told Undark that he’s optimistic they’ll work to change them: “We’re using language that we’ve used forever without realizing the potential impact that it has on patient care.”

This article originated on Undark. A version of this article appeared on Medscape.com.

A smartwatch can tell a lot about a person’s health, but for guarding against big threats like diabetes and heart disease, blood tests remain the gold standard – for now. 

Someday, a wearable patch could give patients and doctors the same information, minus the poke in the arm and the schlep to the medical lab. 

The patch will track markers in interstitial fluid. 

Continuous glucose monitors have already provided this glimpse into the future, by using interstitial fluid to track blood glucose levels in real time. 

Now scientists are asking: What else could this tech help us measure? 

“The vision is eventually to develop a lab under the skin,” said Joseph Wang, PhD, professor of nanoengineering at the University of California San Diego.

The result: All your patients’ lab work – cholesterol, hormones, electrolytes, and more – could become do-it-yourself, easing burdens on the health care system and empowering patients with real-time, clinical-grade information about their health. 
 

How does it work?

Sweat and saliva may be easier to get to, but interstitial fluid is a better mirror for blood. It leaks from tiny blood vessels (capillaries), and it carries nutrients to and removes waste from your skin.

To capture this fluid, each monitor has either a tiny wire or an array of less-than-a-millimeter-long microneedles that penetrate the skin for days, weeks, or however long you wear it. “You don’t feel it,” Dr. Wang said. “Once you place it on the skin, you forget about it.”

The microneedles or wires are made from a polymer that sucks up the fluid, which flows to a biochemical sensor targeting the marker you want to measure.

The earliest patents for this technology date back to the 1990s (the first wearable glucose monitors for home use rolled out in the 2000s), but sensors have come a long way since then, becoming smaller, more accurate, and more sophisticated.

Glucose sensors use an enzyme that reacts to glucose to reveal its concentration in the blood. Researcher Jason Heikenfeld, PhD, and his team at the University of Cincinnati focus on “aptamers,” short single strands of DNA that bind to target molecules. “You can leverage the body’s own ability to generate stuff to grab a needle in a haystack,” he said.   
 

The bigger picture

As our population ages and health care costs spiral, and our medical infrastructure and labor force are stretched thin, we’re seeing a push for decentralized medicine, Dr. Heikenfeld said. Like other at-home monitoring technologies, interstitial fluid sensing promises convenience and better access to care. 

“There’s a lot you can do over telemedicine, over the phone,” said Justin T. Baca, MD, PhD, associate professor at the University of New Mexico, Albuquerque. “But we still haven’t figured out how to collect reliable biosamples and analyze them remotely.”

Unlike a traditional blood test, which gives a health snapshot for a single point in time, these devices track data continuously, revealing trends and helping you spot oncoming threats earlier. 

Take ketones, for example. Dr. Baca and others are using interstitial fluid to continuously detect ketone levels in the blood, potentially enabling us to catch diabetic ketoacidosis sooner. 

“It’s potentially like an early warning sign that somebody needs to get either checked out or get rehydrated or get some insulin; kind of an early diagnostic to avoid hospital visits later on,” Dr. Baca said. 

Here’s what else this tech could help us do:

Chronic disease management

Seeing the health impact of medication and diet in real time could motivate patients to stick to their treatment plans, Dr. Heikenfeld said. Researchers in Taiwan are developing a test that could help people with chronic kidney disease track levels of cystatin C, a protein that goes up as kidney function declines. Heart disease patients could watch their cholesterol levels drop over time, and of course, diabetes patients can already track glucose. 

Prescription drug monitoring

Providers could monitor drug levels in a patient’s body – like antibiotics for an infection – to see how it’s being metabolized, and adjust the dose as needed, Dr. Heikenfeld said. 

Stress and hormone therapy

Interstitial fluid could help us measure hormone levels, such as the stress hormone cortisol. 

Scientists in the United Kingdom and Norway developed a waist-worn device that collects interstitial fluid samples continuously for up to 3 days. In their study, samples were sent out for analysis, but someday the device could be equipped with a sensor to monitor a single hormone in real time, said study author Thomas Upton, PhD, a clinical research fellow at the University of Bristol in England. “There is a lot of interest in real-time cortisol monitoring,” he said. 

Among those who could benefit: patients with hormone deficiencies, night shift workers with disturbed circadian rhythms, or anyone who wants to keep tabs on their stress response. 

Human performance and wellness

Athletes could use glucose and lactate monitors to optimize training, recovery time, and diet. For those on the keto diet, a monitor could help them adjust their carb intake based on their ketone levels. Abbott’s Analyte Ventures group is working on blood alcohol sensors, helpful to anyone who wants to avoid overindulging.  
 

When will this be ready for clinical use?

Early research has been promising, but much more is needed before interstitial fluid sensors can be verified and approved. 

Manufacturing will be a challenge. Producing these sensors at scale, without sacrificing consistency or quality, won’t be cheap, said Dr. Heikenfeld. Today’s continuous glucose monitors took decades and hundreds of millions of dollars to develop. 

Still, the groundwork has been laid. 

“As we all pivot more towards interstitial fluid, there’s a proven roadmap of success that the big diagnostic companies over decades have cut their teeth on,” said Dr. Heikenfeld. 

For now, scientists are refining sensors and figuring out how to protect them from other body fluids while in use, Dr. Wang said. But if it all comes together, the result could be game-changing.

Dr. Wang’s lab is developing a system that can monitor glucose and lactate or glucose and alcohol – which could become available in as little as 2 years, he said. 

In the next decade, Dr. Wang predicted, we’ll be able to measure a dozen markers with one simple patch.

A version of this article originally appeared on WebMD.com.

A smartwatch can tell a lot about a person’s health, but for guarding against big threats like diabetes and heart disease, blood tests remain the gold standard – for now. 

Someday, a wearable patch could give patients and doctors the same information, minus the poke in the arm and the schlep to the medical lab. 

The patch will track markers in interstitial fluid. 

Continuous glucose monitors have already provided this glimpse into the future, by using interstitial fluid to track blood glucose levels in real time. 

Now scientists are asking: What else could this tech help us measure? 

“The vision is eventually to develop a lab under the skin,” said Joseph Wang, PhD, professor of nanoengineering at the University of California San Diego.

The result: All your patients’ lab work – cholesterol, hormones, electrolytes, and more – could become do-it-yourself, easing burdens on the health care system and empowering patients with real-time, clinical-grade information about their health. 
 

How does it work?

Sweat and saliva may be easier to get to, but interstitial fluid is a better mirror for blood. It leaks from tiny blood vessels (capillaries), and it carries nutrients to and removes waste from your skin.

To capture this fluid, each monitor has either a tiny wire or an array of less-than-a-millimeter-long microneedles that penetrate the skin for days, weeks, or however long you wear it. “You don’t feel it,” Dr. Wang said. “Once you place it on the skin, you forget about it.”

The microneedles or wires are made from a polymer that sucks up the fluid, which flows to a biochemical sensor targeting the marker you want to measure.

The earliest patents for this technology date back to the 1990s (the first wearable glucose monitors for home use rolled out in the 2000s), but sensors have come a long way since then, becoming smaller, more accurate, and more sophisticated.

Glucose sensors use an enzyme that reacts to glucose to reveal its concentration in the blood. Researcher Jason Heikenfeld, PhD, and his team at the University of Cincinnati focus on “aptamers,” short single strands of DNA that bind to target molecules. “You can leverage the body’s own ability to generate stuff to grab a needle in a haystack,” he said.   
 

The bigger picture

As our population ages and health care costs spiral, and our medical infrastructure and labor force are stretched thin, we’re seeing a push for decentralized medicine, Dr. Heikenfeld said. Like other at-home monitoring technologies, interstitial fluid sensing promises convenience and better access to care. 

“There’s a lot you can do over telemedicine, over the phone,” said Justin T. Baca, MD, PhD, associate professor at the University of New Mexico, Albuquerque. “But we still haven’t figured out how to collect reliable biosamples and analyze them remotely.”

Unlike a traditional blood test, which gives a health snapshot for a single point in time, these devices track data continuously, revealing trends and helping you spot oncoming threats earlier. 

Take ketones, for example. Dr. Baca and others are using interstitial fluid to continuously detect ketone levels in the blood, potentially enabling us to catch diabetic ketoacidosis sooner. 

“It’s potentially like an early warning sign that somebody needs to get either checked out or get rehydrated or get some insulin; kind of an early diagnostic to avoid hospital visits later on,” Dr. Baca said. 

Here’s what else this tech could help us do:

Chronic disease management

Seeing the health impact of medication and diet in real time could motivate patients to stick to their treatment plans, Dr. Heikenfeld said. Researchers in Taiwan are developing a test that could help people with chronic kidney disease track levels of cystatin C, a protein that goes up as kidney function declines. Heart disease patients could watch their cholesterol levels drop over time, and of course, diabetes patients can already track glucose. 

Prescription drug monitoring

Providers could monitor drug levels in a patient’s body – like antibiotics for an infection – to see how it’s being metabolized, and adjust the dose as needed, Dr. Heikenfeld said. 

Stress and hormone therapy

Interstitial fluid could help us measure hormone levels, such as the stress hormone cortisol. 

Scientists in the United Kingdom and Norway developed a waist-worn device that collects interstitial fluid samples continuously for up to 3 days. In their study, samples were sent out for analysis, but someday the device could be equipped with a sensor to monitor a single hormone in real time, said study author Thomas Upton, PhD, a clinical research fellow at the University of Bristol in England. “There is a lot of interest in real-time cortisol monitoring,” he said. 

Among those who could benefit: patients with hormone deficiencies, night shift workers with disturbed circadian rhythms, or anyone who wants to keep tabs on their stress response. 

Human performance and wellness

Athletes could use glucose and lactate monitors to optimize training, recovery time, and diet. For those on the keto diet, a monitor could help them adjust their carb intake based on their ketone levels. Abbott’s Analyte Ventures group is working on blood alcohol sensors, helpful to anyone who wants to avoid overindulging.  
 

When will this be ready for clinical use?

Early research has been promising, but much more is needed before interstitial fluid sensors can be verified and approved. 

Manufacturing will be a challenge. Producing these sensors at scale, without sacrificing consistency or quality, won’t be cheap, said Dr. Heikenfeld. Today’s continuous glucose monitors took decades and hundreds of millions of dollars to develop. 

Still, the groundwork has been laid. 

“As we all pivot more towards interstitial fluid, there’s a proven roadmap of success that the big diagnostic companies over decades have cut their teeth on,” said Dr. Heikenfeld. 

For now, scientists are refining sensors and figuring out how to protect them from other body fluids while in use, Dr. Wang said. But if it all comes together, the result could be game-changing.

Dr. Wang’s lab is developing a system that can monitor glucose and lactate or glucose and alcohol – which could become available in as little as 2 years, he said. 

In the next decade, Dr. Wang predicted, we’ll be able to measure a dozen markers with one simple patch.

A version of this article originally appeared on WebMD.com.

A smartwatch can tell a lot about a person’s health, but for guarding against big threats like diabetes and heart disease, blood tests remain the gold standard – for now. 

Someday, a wearable patch could give patients and doctors the same information, minus the poke in the arm and the schlep to the medical lab. 

The patch will track markers in interstitial fluid. 

Continuous glucose monitors have already provided this glimpse into the future, by using interstitial fluid to track blood glucose levels in real time. 

Now scientists are asking: What else could this tech help us measure? 

“The vision is eventually to develop a lab under the skin,” said Joseph Wang, PhD, professor of nanoengineering at the University of California San Diego.

The result: All your patients’ lab work – cholesterol, hormones, electrolytes, and more – could become do-it-yourself, easing burdens on the health care system and empowering patients with real-time, clinical-grade information about their health. 
 

How does it work?

Sweat and saliva may be easier to get to, but interstitial fluid is a better mirror for blood. It leaks from tiny blood vessels (capillaries), and it carries nutrients to and removes waste from your skin.

To capture this fluid, each monitor has either a tiny wire or an array of less-than-a-millimeter-long microneedles that penetrate the skin for days, weeks, or however long you wear it. “You don’t feel it,” Dr. Wang said. “Once you place it on the skin, you forget about it.”

The microneedles or wires are made from a polymer that sucks up the fluid, which flows to a biochemical sensor targeting the marker you want to measure.

The earliest patents for this technology date back to the 1990s (the first wearable glucose monitors for home use rolled out in the 2000s), but sensors have come a long way since then, becoming smaller, more accurate, and more sophisticated.

Glucose sensors use an enzyme that reacts to glucose to reveal its concentration in the blood. Researcher Jason Heikenfeld, PhD, and his team at the University of Cincinnati focus on “aptamers,” short single strands of DNA that bind to target molecules. “You can leverage the body’s own ability to generate stuff to grab a needle in a haystack,” he said.   
 

The bigger picture

As our population ages and health care costs spiral, and our medical infrastructure and labor force are stretched thin, we’re seeing a push for decentralized medicine, Dr. Heikenfeld said. Like other at-home monitoring technologies, interstitial fluid sensing promises convenience and better access to care. 

“There’s a lot you can do over telemedicine, over the phone,” said Justin T. Baca, MD, PhD, associate professor at the University of New Mexico, Albuquerque. “But we still haven’t figured out how to collect reliable biosamples and analyze them remotely.”

Unlike a traditional blood test, which gives a health snapshot for a single point in time, these devices track data continuously, revealing trends and helping you spot oncoming threats earlier. 

Take ketones, for example. Dr. Baca and others are using interstitial fluid to continuously detect ketone levels in the blood, potentially enabling us to catch diabetic ketoacidosis sooner. 

“It’s potentially like an early warning sign that somebody needs to get either checked out or get rehydrated or get some insulin; kind of an early diagnostic to avoid hospital visits later on,” Dr. Baca said. 

Here’s what else this tech could help us do:

Chronic disease management

Seeing the health impact of medication and diet in real time could motivate patients to stick to their treatment plans, Dr. Heikenfeld said. Researchers in Taiwan are developing a test that could help people with chronic kidney disease track levels of cystatin C, a protein that goes up as kidney function declines. Heart disease patients could watch their cholesterol levels drop over time, and of course, diabetes patients can already track glucose. 

Prescription drug monitoring

Providers could monitor drug levels in a patient’s body – like antibiotics for an infection – to see how it’s being metabolized, and adjust the dose as needed, Dr. Heikenfeld said. 

Stress and hormone therapy

Interstitial fluid could help us measure hormone levels, such as the stress hormone cortisol. 

Scientists in the United Kingdom and Norway developed a waist-worn device that collects interstitial fluid samples continuously for up to 3 days. In their study, samples were sent out for analysis, but someday the device could be equipped with a sensor to monitor a single hormone in real time, said study author Thomas Upton, PhD, a clinical research fellow at the University of Bristol in England. “There is a lot of interest in real-time cortisol monitoring,” he said. 

Among those who could benefit: patients with hormone deficiencies, night shift workers with disturbed circadian rhythms, or anyone who wants to keep tabs on their stress response. 

Human performance and wellness

Athletes could use glucose and lactate monitors to optimize training, recovery time, and diet. For those on the keto diet, a monitor could help them adjust their carb intake based on their ketone levels. Abbott’s Analyte Ventures group is working on blood alcohol sensors, helpful to anyone who wants to avoid overindulging.  
 

When will this be ready for clinical use?

Early research has been promising, but much more is needed before interstitial fluid sensors can be verified and approved. 

Manufacturing will be a challenge. Producing these sensors at scale, without sacrificing consistency or quality, won’t be cheap, said Dr. Heikenfeld. Today’s continuous glucose monitors took decades and hundreds of millions of dollars to develop. 

Still, the groundwork has been laid. 

“As we all pivot more towards interstitial fluid, there’s a proven roadmap of success that the big diagnostic companies over decades have cut their teeth on,” said Dr. Heikenfeld. 

For now, scientists are refining sensors and figuring out how to protect them from other body fluids while in use, Dr. Wang said. But if it all comes together, the result could be game-changing.

Dr. Wang’s lab is developing a system that can monitor glucose and lactate or glucose and alcohol – which could become available in as little as 2 years, he said. 

In the next decade, Dr. Wang predicted, we’ll be able to measure a dozen markers with one simple patch.

A version of this article originally appeared on WebMD.com.