Internal Medicine News

NEW YORK — Because of their heterogeneity in appearance, drug-induced skin rashes are a common diagnostic challenge, but eruptions in skin of color, particularly those with a delayed onset, require a high index of suspicion to speed the diagnosis.

This risk for a delayed or missed diagnosis in patients with darker skin is shared across skin rashes, but drug-induced hypersensitivity syndrome (DIHS) is a telling example, according to Joanna Harp, MD, director of the Inpatient Dermatology Consult Service, NewYork–Presbyterian Hospital, New York City.

DIHS, also known as a drug reaction with eosinophilia and systemic symptoms, is a type IV hypersensitivity reaction, Dr. Harp explained. While the fact that this disorder does not always include eosinophilia prompted the DIHS acronym, the maculopapular rash often serves as a critical clue of the underlying etiology.

Signs of AGEP Can Be Subtle in Black Patients

Some of the same principles for diagnosing drug-induced rash in darker skin can also be applied to acute generalized exanthematous pustulosis (AGEP), another type IV hypersensitivity reaction. Like all drug-induced rashes, the earlier AGEP is recognized and treated, the better the outcome, but in Black patients, the signs can be subtle.

“The onset is usually fast and occurs in 1-2 days after [the causative drug] exposure,” said Dr. Harp, adding that antibiotics, such as cephalosporins or penicillin, and calcium channel blockers are among the prominent causes of AGEP.

One of the hallmark signs of early-onset AGEP are tiny erythematous pustules in flexural areas, such as the neck or the armpits. The issue of detecting erythema in darker skin is also relevant to this area, but there is an additional problem, according to Dr. Harp. The pustules often dry up quickly, leaving a neutrophilic scale that further complicates the effort to see the characteristic erythema.

“If you see a lot of scale, look for erythema underneath. Think of inflammation,” Dr. Harp said, explaining that the clinical appearance evolves quickly. “If you do not see the pustules, it does not mean they were not there; you just missed them.”

In addition to the flexural areas, “AGEP loves the ears, the face, and the geographic tongue,” she said, offering several pearls to help with the diagnosis. These include side lighting to make papules easier to see, pressing on the skin to highlight the difference between erythematous skin and blanched skin, and checking less pigmented skin, such as on the hands and feet, which makes erythema easier to see.

Steroids are often the first-line treatment for drug-induced skin rashes, but Dr. Harp moves to etanercept or cyclosporine for the most serious drug reactions, such as SJS and toxic epidermal necrolysis.

Etanercept is typically her first choice because patients with systemic hypersensitivity reactions with major organ involvement are often quite ill, making cyclosporine harder to use. In her experience, etanercept has been well tolerated.

Conversely, she cautioned against the use of intravenous immunoglobulin (IVIG). Although this has been used traditionally for severe drug hypersensitivity reactions, “the data are not there,” she said. The data are stronger for a combination of high-dose steroids and IVIG, but she thinks even these data are inconsistent and not as strong as the data supporting etanercept or cyclosporine. She encouraged centers still using IVIG to consider alternatives.

After drug sensitivity reactions are controlled, follow-up care is particularly important for Black patients who face greater risks for sequelae, such as hypopigmentation, hyperpigmentation, or keloids. She recommended aggressive use of emollients and sunscreens for an extended period after lesions resolve to lessen these risks.

Differences in the manifestations of drug-induced skin rashes by race and ethnicity are important and perhaps underappreciated, agreed Shawn Kwatra, MD, professor and chairman of the Department of Dermatology, University of Maryland, Baltimore.

Asked to comment at the meeting, Dr. Kwatra said that he appreciated Dr. Harp’s effort to translate published data and her experience into an overview that increases awareness of the risk for missed or delayed diagnoses of drug-induced rashes in skin of color. He noted that the strategies to identify erythema and pustules, such as increased suspicion in skin of color and the extra steps to rule them out, such as the use of side lighting in the case of pustules for AGEP, are simple and practical.

Dr. Harp and Dr. Kwatra had no relevant disclosures.
 

A version of this article appeared on Medscape.com.

NEW YORK — Because of their heterogeneity in appearance, drug-induced skin rashes are a common diagnostic challenge, but eruptions in skin of color, particularly those with a delayed onset, require a high index of suspicion to speed the diagnosis.

This risk for a delayed or missed diagnosis in patients with darker skin is shared across skin rashes, but drug-induced hypersensitivity syndrome (DIHS) is a telling example, according to Joanna Harp, MD, director of the Inpatient Dermatology Consult Service, NewYork–Presbyterian Hospital, New York City.

DIHS, also known as a drug reaction with eosinophilia and systemic symptoms, is a type IV hypersensitivity reaction, Dr. Harp explained. While the fact that this disorder does not always include eosinophilia prompted the DIHS acronym, the maculopapular rash often serves as a critical clue of the underlying etiology.

Signs of AGEP Can Be Subtle in Black Patients

Some of the same principles for diagnosing drug-induced rash in darker skin can also be applied to acute generalized exanthematous pustulosis (AGEP), another type IV hypersensitivity reaction. Like all drug-induced rashes, the earlier AGEP is recognized and treated, the better the outcome, but in Black patients, the signs can be subtle.

“The onset is usually fast and occurs in 1-2 days after [the causative drug] exposure,” said Dr. Harp, adding that antibiotics, such as cephalosporins or penicillin, and calcium channel blockers are among the prominent causes of AGEP.

One of the hallmark signs of early-onset AGEP are tiny erythematous pustules in flexural areas, such as the neck or the armpits. The issue of detecting erythema in darker skin is also relevant to this area, but there is an additional problem, according to Dr. Harp. The pustules often dry up quickly, leaving a neutrophilic scale that further complicates the effort to see the characteristic erythema.

“If you see a lot of scale, look for erythema underneath. Think of inflammation,” Dr. Harp said, explaining that the clinical appearance evolves quickly. “If you do not see the pustules, it does not mean they were not there; you just missed them.”

In addition to the flexural areas, “AGEP loves the ears, the face, and the geographic tongue,” she said, offering several pearls to help with the diagnosis. These include side lighting to make papules easier to see, pressing on the skin to highlight the difference between erythematous skin and blanched skin, and checking less pigmented skin, such as on the hands and feet, which makes erythema easier to see.

Steroids are often the first-line treatment for drug-induced skin rashes, but Dr. Harp moves to etanercept or cyclosporine for the most serious drug reactions, such as SJS and toxic epidermal necrolysis.

Etanercept is typically her first choice because patients with systemic hypersensitivity reactions with major organ involvement are often quite ill, making cyclosporine harder to use. In her experience, etanercept has been well tolerated.

Conversely, she cautioned against the use of intravenous immunoglobulin (IVIG). Although this has been used traditionally for severe drug hypersensitivity reactions, “the data are not there,” she said. The data are stronger for a combination of high-dose steroids and IVIG, but she thinks even these data are inconsistent and not as strong as the data supporting etanercept or cyclosporine. She encouraged centers still using IVIG to consider alternatives.

After drug sensitivity reactions are controlled, follow-up care is particularly important for Black patients who face greater risks for sequelae, such as hypopigmentation, hyperpigmentation, or keloids. She recommended aggressive use of emollients and sunscreens for an extended period after lesions resolve to lessen these risks.

Differences in the manifestations of drug-induced skin rashes by race and ethnicity are important and perhaps underappreciated, agreed Shawn Kwatra, MD, professor and chairman of the Department of Dermatology, University of Maryland, Baltimore.

Asked to comment at the meeting, Dr. Kwatra said that he appreciated Dr. Harp’s effort to translate published data and her experience into an overview that increases awareness of the risk for missed or delayed diagnoses of drug-induced rashes in skin of color. He noted that the strategies to identify erythema and pustules, such as increased suspicion in skin of color and the extra steps to rule them out, such as the use of side lighting in the case of pustules for AGEP, are simple and practical.

Dr. Harp and Dr. Kwatra had no relevant disclosures.
 

A version of this article appeared on Medscape.com.

NEW YORK — Because of their heterogeneity in appearance, drug-induced skin rashes are a common diagnostic challenge, but eruptions in skin of color, particularly those with a delayed onset, require a high index of suspicion to speed the diagnosis.

This risk for a delayed or missed diagnosis in patients with darker skin is shared across skin rashes, but drug-induced hypersensitivity syndrome (DIHS) is a telling example, according to Joanna Harp, MD, director of the Inpatient Dermatology Consult Service, NewYork–Presbyterian Hospital, New York City.

DIHS, also known as a drug reaction with eosinophilia and systemic symptoms, is a type IV hypersensitivity reaction, Dr. Harp explained. While the fact that this disorder does not always include eosinophilia prompted the DIHS acronym, the maculopapular rash often serves as a critical clue of the underlying etiology.

Signs of AGEP Can Be Subtle in Black Patients

Some of the same principles for diagnosing drug-induced rash in darker skin can also be applied to acute generalized exanthematous pustulosis (AGEP), another type IV hypersensitivity reaction. Like all drug-induced rashes, the earlier AGEP is recognized and treated, the better the outcome, but in Black patients, the signs can be subtle.

“The onset is usually fast and occurs in 1-2 days after [the causative drug] exposure,” said Dr. Harp, adding that antibiotics, such as cephalosporins or penicillin, and calcium channel blockers are among the prominent causes of AGEP.

One of the hallmark signs of early-onset AGEP are tiny erythematous pustules in flexural areas, such as the neck or the armpits. The issue of detecting erythema in darker skin is also relevant to this area, but there is an additional problem, according to Dr. Harp. The pustules often dry up quickly, leaving a neutrophilic scale that further complicates the effort to see the characteristic erythema.

“If you see a lot of scale, look for erythema underneath. Think of inflammation,” Dr. Harp said, explaining that the clinical appearance evolves quickly. “If you do not see the pustules, it does not mean they were not there; you just missed them.”

In addition to the flexural areas, “AGEP loves the ears, the face, and the geographic tongue,” she said, offering several pearls to help with the diagnosis. These include side lighting to make papules easier to see, pressing on the skin to highlight the difference between erythematous skin and blanched skin, and checking less pigmented skin, such as on the hands and feet, which makes erythema easier to see.

Steroids are often the first-line treatment for drug-induced skin rashes, but Dr. Harp moves to etanercept or cyclosporine for the most serious drug reactions, such as SJS and toxic epidermal necrolysis.

Etanercept is typically her first choice because patients with systemic hypersensitivity reactions with major organ involvement are often quite ill, making cyclosporine harder to use. In her experience, etanercept has been well tolerated.

Conversely, she cautioned against the use of intravenous immunoglobulin (IVIG). Although this has been used traditionally for severe drug hypersensitivity reactions, “the data are not there,” she said. The data are stronger for a combination of high-dose steroids and IVIG, but she thinks even these data are inconsistent and not as strong as the data supporting etanercept or cyclosporine. She encouraged centers still using IVIG to consider alternatives.

After drug sensitivity reactions are controlled, follow-up care is particularly important for Black patients who face greater risks for sequelae, such as hypopigmentation, hyperpigmentation, or keloids. She recommended aggressive use of emollients and sunscreens for an extended period after lesions resolve to lessen these risks.

Differences in the manifestations of drug-induced skin rashes by race and ethnicity are important and perhaps underappreciated, agreed Shawn Kwatra, MD, professor and chairman of the Department of Dermatology, University of Maryland, Baltimore.

Asked to comment at the meeting, Dr. Kwatra said that he appreciated Dr. Harp’s effort to translate published data and her experience into an overview that increases awareness of the risk for missed or delayed diagnoses of drug-induced rashes in skin of color. He noted that the strategies to identify erythema and pustules, such as increased suspicion in skin of color and the extra steps to rule them out, such as the use of side lighting in the case of pustules for AGEP, are simple and practical.

Dr. Harp and Dr. Kwatra had no relevant disclosures.
 

A version of this article appeared on Medscape.com.

NEW YORK — Underrepresentation by gender and race in major clinical trials has been a cause for complaint for decades, but the Food and Drug Administration (FDA) has drafted a regulatory solution to this issue expected to be implemented sometime in 2025.

This initiative, known as the FDA’s Diversity Action Plan (DAP), will require plans for all pivotal and phase 3 trials to provide details in their design of how diversity will be achieved or, if there are no plans for diversity, the reason why, according to Valerie M. Harvey, MD, MPH, associate clinical professor, Edward Via College of Osteopathic Medicine, Blacksburg, Virginia. These rules will be codified, she said at the 2024 Skin of Color Update.

Once the DAP is enacted, “the sponsor must specify the rationale and goals for study enrollment by age, ethnicity, sex, and race,” she said. Furthermore, the submission to the FDA must “describe the methods to meet the diversity benchmarks.”
 

Lack of Trial Diversity Is Common Across Medicine

Although she focused on the relevance of this initiative to dermatology, Dr. Harvey said the lack of diversity in clinical trials is pervasive throughout medicine. In one survey of randomized controlled trials, less than 60% of trials even specified the race and ethnicity of the participants. In recent psoriasis trials, only 30% met a diversity definition of ≥ 20% of patients identifying as minority (Black, Hispanic, Asian, or other non-White group), said Dr. Harvey, who practices dermatology in Newport News, Virginia.

The FDA draft guidance for the DAP was released in June 2024 and is now available for submitting comments (until September 26). The plan is expected to be published in June 2025, according to Dr. Harvey. It will pertain to all pivotal and phase 3 trials enrolling 180 days after the publication date and will be relevant to all drugs and biologics as well as certain devices.

This initiative could be a critical step toward ensuring diversity in major clinical trials after years of stagnation, Dr. Harvey said, noting that despite repeated calls for more diversity in clinical trials, the literature suggests “little progress.”

However, she said that increasing diversity in clinical trials is just one step toward gathering data about the generalizability of efficacy and safety across racial and ethnic groups. A much more complex issue involves how race and ethnicity are defined in order to understand differences, if any, for efficacy and risk.

“Race is a dynamic social construct and a poor measure for biologic variation and skin color,” Dr. Harvey said. This means that work is needed to address the more complex issue of race and ethnicity stratification that will help clinicians understand the relative benefits and risks for the drugs in these trials.

Rather than differences based on genetic or other sources of biologic differences, she said, outcomes by race alone are often suspected of reflecting disparities in access to healthcare rather than a difference in therapeutic response.
 

Skin Color Is Inadequate to Define Race

When stratifying patients by race or ethnicity, Dr. Harvey said that “we have to be very, very careful in considering the study purpose and what the study question is.” A study attempting to compare benefits and risks among subgroups by race or ethnicity will require descriptors beyond skin color.

The recognized limitations of measuring skin tone as a surrogate of race are one reason for widespread interest in moving away from the Fitzpatrick skin type (FST) rating that has been widely considered a standard, according to Dr. Harvey. Several alternatives have been proposed, including the Monk Skin Tone Scale, the Individual Typology Angle, and the Eumelanin Human Skin Color Scale, but she cautioned that these are less well validated and generally have the limitations of the FST.

If skin color was ever useful for grouping individuals on the basis of shared physiology, growing rates of intermarriage and immigration have made skin color increasingly irrelevant to racial identity. If the goal is to evaluate the safety and efficacy of drugs across racial groups and ethnicities, the characterization of populations will almost certainly require multiple descriptors and biomarkers, she said.

“It is very important to have many tools for characterizing patients by skin type,” Susan Taylor, MD, professor of dermatology and vice chair for diversity, equity, and inclusion for the Department of Dermatology, University of Pennsylvania, Philadelphia, said in an interview at the meeting.

The reason is “there are limitations to all of them,” she said, noting also that the questions being asked about how and if skin color and race are relevant to therapeutic options differ by the question, such as innate response or access to care.

Dr. Taylor is part of a workshop that she said is evaluating a combination of instruments for characterizing skin color and race in ways relevant to the specific question being asked.

The solutions might differ. While simple clinical assessments involving skin color might be made with methods captured on a smartphone app, Dr. Taylor acknowledged that far more complex tools might be required to document the effect of racial or ethnic differences in drug efficacy and safety in a research setting.

Outside of a research setting, any tools that might be useful for assessing race as a variable must be practical, according to Dr. Harvey. She suggested that these must be time efficient, of reasonable cost, and most importantly, reliable.

Tools meeting these criteria do not currently exist, but Dr. Harvey said the work is underway. She expects a “top-down” collaborative approach to validate alternatives to the FST. If such tools can be developed with buy-in from the FDA, they might be particularly useful for translating trial data to patient care, she added.

Dr. Harvey reported financial relationships with AbbVie, Bristol-Myers Squibb, Janssen, Johnson & Johnson, L’Oréal, and SkinCeuticals. Dr. Taylor, president-elect of the American Academy of Dermatology, reported financial relationships with more than 25 pharmaceutical and cosmetic companies.

A version of this article appeared on Medscape.com.

NEW YORK — Underrepresentation by gender and race in major clinical trials has been a cause for complaint for decades, but the Food and Drug Administration (FDA) has drafted a regulatory solution to this issue expected to be implemented sometime in 2025.

This initiative, known as the FDA’s Diversity Action Plan (DAP), will require plans for all pivotal and phase 3 trials to provide details in their design of how diversity will be achieved or, if there are no plans for diversity, the reason why, according to Valerie M. Harvey, MD, MPH, associate clinical professor, Edward Via College of Osteopathic Medicine, Blacksburg, Virginia. These rules will be codified, she said at the 2024 Skin of Color Update.

Once the DAP is enacted, “the sponsor must specify the rationale and goals for study enrollment by age, ethnicity, sex, and race,” she said. Furthermore, the submission to the FDA must “describe the methods to meet the diversity benchmarks.”
 

Lack of Trial Diversity Is Common Across Medicine

Although she focused on the relevance of this initiative to dermatology, Dr. Harvey said the lack of diversity in clinical trials is pervasive throughout medicine. In one survey of randomized controlled trials, less than 60% of trials even specified the race and ethnicity of the participants. In recent psoriasis trials, only 30% met a diversity definition of ≥ 20% of patients identifying as minority (Black, Hispanic, Asian, or other non-White group), said Dr. Harvey, who practices dermatology in Newport News, Virginia.

The FDA draft guidance for the DAP was released in June 2024 and is now available for submitting comments (until September 26). The plan is expected to be published in June 2025, according to Dr. Harvey. It will pertain to all pivotal and phase 3 trials enrolling 180 days after the publication date and will be relevant to all drugs and biologics as well as certain devices.

This initiative could be a critical step toward ensuring diversity in major clinical trials after years of stagnation, Dr. Harvey said, noting that despite repeated calls for more diversity in clinical trials, the literature suggests “little progress.”

However, she said that increasing diversity in clinical trials is just one step toward gathering data about the generalizability of efficacy and safety across racial and ethnic groups. A much more complex issue involves how race and ethnicity are defined in order to understand differences, if any, for efficacy and risk.

“Race is a dynamic social construct and a poor measure for biologic variation and skin color,” Dr. Harvey said. This means that work is needed to address the more complex issue of race and ethnicity stratification that will help clinicians understand the relative benefits and risks for the drugs in these trials.

Rather than differences based on genetic or other sources of biologic differences, she said, outcomes by race alone are often suspected of reflecting disparities in access to healthcare rather than a difference in therapeutic response.
 

Skin Color Is Inadequate to Define Race

When stratifying patients by race or ethnicity, Dr. Harvey said that “we have to be very, very careful in considering the study purpose and what the study question is.” A study attempting to compare benefits and risks among subgroups by race or ethnicity will require descriptors beyond skin color.

The recognized limitations of measuring skin tone as a surrogate of race are one reason for widespread interest in moving away from the Fitzpatrick skin type (FST) rating that has been widely considered a standard, according to Dr. Harvey. Several alternatives have been proposed, including the Monk Skin Tone Scale, the Individual Typology Angle, and the Eumelanin Human Skin Color Scale, but she cautioned that these are less well validated and generally have the limitations of the FST.

If skin color was ever useful for grouping individuals on the basis of shared physiology, growing rates of intermarriage and immigration have made skin color increasingly irrelevant to racial identity. If the goal is to evaluate the safety and efficacy of drugs across racial groups and ethnicities, the characterization of populations will almost certainly require multiple descriptors and biomarkers, she said.

“It is very important to have many tools for characterizing patients by skin type,” Susan Taylor, MD, professor of dermatology and vice chair for diversity, equity, and inclusion for the Department of Dermatology, University of Pennsylvania, Philadelphia, said in an interview at the meeting.

The reason is “there are limitations to all of them,” she said, noting also that the questions being asked about how and if skin color and race are relevant to therapeutic options differ by the question, such as innate response or access to care.

Dr. Taylor is part of a workshop that she said is evaluating a combination of instruments for characterizing skin color and race in ways relevant to the specific question being asked.

The solutions might differ. While simple clinical assessments involving skin color might be made with methods captured on a smartphone app, Dr. Taylor acknowledged that far more complex tools might be required to document the effect of racial or ethnic differences in drug efficacy and safety in a research setting.

Outside of a research setting, any tools that might be useful for assessing race as a variable must be practical, according to Dr. Harvey. She suggested that these must be time efficient, of reasonable cost, and most importantly, reliable.

Tools meeting these criteria do not currently exist, but Dr. Harvey said the work is underway. She expects a “top-down” collaborative approach to validate alternatives to the FST. If such tools can be developed with buy-in from the FDA, they might be particularly useful for translating trial data to patient care, she added.

Dr. Harvey reported financial relationships with AbbVie, Bristol-Myers Squibb, Janssen, Johnson & Johnson, L’Oréal, and SkinCeuticals. Dr. Taylor, president-elect of the American Academy of Dermatology, reported financial relationships with more than 25 pharmaceutical and cosmetic companies.

A version of this article appeared on Medscape.com.

NEW YORK — Underrepresentation by gender and race in major clinical trials has been a cause for complaint for decades, but the Food and Drug Administration (FDA) has drafted a regulatory solution to this issue expected to be implemented sometime in 2025.

This initiative, known as the FDA’s Diversity Action Plan (DAP), will require plans for all pivotal and phase 3 trials to provide details in their design of how diversity will be achieved or, if there are no plans for diversity, the reason why, according to Valerie M. Harvey, MD, MPH, associate clinical professor, Edward Via College of Osteopathic Medicine, Blacksburg, Virginia. These rules will be codified, she said at the 2024 Skin of Color Update.

Once the DAP is enacted, “the sponsor must specify the rationale and goals for study enrollment by age, ethnicity, sex, and race,” she said. Furthermore, the submission to the FDA must “describe the methods to meet the diversity benchmarks.”
 

Lack of Trial Diversity Is Common Across Medicine

Although she focused on the relevance of this initiative to dermatology, Dr. Harvey said the lack of diversity in clinical trials is pervasive throughout medicine. In one survey of randomized controlled trials, less than 60% of trials even specified the race and ethnicity of the participants. In recent psoriasis trials, only 30% met a diversity definition of ≥ 20% of patients identifying as minority (Black, Hispanic, Asian, or other non-White group), said Dr. Harvey, who practices dermatology in Newport News, Virginia.

The FDA draft guidance for the DAP was released in June 2024 and is now available for submitting comments (until September 26). The plan is expected to be published in June 2025, according to Dr. Harvey. It will pertain to all pivotal and phase 3 trials enrolling 180 days after the publication date and will be relevant to all drugs and biologics as well as certain devices.

This initiative could be a critical step toward ensuring diversity in major clinical trials after years of stagnation, Dr. Harvey said, noting that despite repeated calls for more diversity in clinical trials, the literature suggests “little progress.”

However, she said that increasing diversity in clinical trials is just one step toward gathering data about the generalizability of efficacy and safety across racial and ethnic groups. A much more complex issue involves how race and ethnicity are defined in order to understand differences, if any, for efficacy and risk.

“Race is a dynamic social construct and a poor measure for biologic variation and skin color,” Dr. Harvey said. This means that work is needed to address the more complex issue of race and ethnicity stratification that will help clinicians understand the relative benefits and risks for the drugs in these trials.

Rather than differences based on genetic or other sources of biologic differences, she said, outcomes by race alone are often suspected of reflecting disparities in access to healthcare rather than a difference in therapeutic response.
 

Skin Color Is Inadequate to Define Race

When stratifying patients by race or ethnicity, Dr. Harvey said that “we have to be very, very careful in considering the study purpose and what the study question is.” A study attempting to compare benefits and risks among subgroups by race or ethnicity will require descriptors beyond skin color.

The recognized limitations of measuring skin tone as a surrogate of race are one reason for widespread interest in moving away from the Fitzpatrick skin type (FST) rating that has been widely considered a standard, according to Dr. Harvey. Several alternatives have been proposed, including the Monk Skin Tone Scale, the Individual Typology Angle, and the Eumelanin Human Skin Color Scale, but she cautioned that these are less well validated and generally have the limitations of the FST.

If skin color was ever useful for grouping individuals on the basis of shared physiology, growing rates of intermarriage and immigration have made skin color increasingly irrelevant to racial identity. If the goal is to evaluate the safety and efficacy of drugs across racial groups and ethnicities, the characterization of populations will almost certainly require multiple descriptors and biomarkers, she said.

“It is very important to have many tools for characterizing patients by skin type,” Susan Taylor, MD, professor of dermatology and vice chair for diversity, equity, and inclusion for the Department of Dermatology, University of Pennsylvania, Philadelphia, said in an interview at the meeting.

The reason is “there are limitations to all of them,” she said, noting also that the questions being asked about how and if skin color and race are relevant to therapeutic options differ by the question, such as innate response or access to care.

Dr. Taylor is part of a workshop that she said is evaluating a combination of instruments for characterizing skin color and race in ways relevant to the specific question being asked.

The solutions might differ. While simple clinical assessments involving skin color might be made with methods captured on a smartphone app, Dr. Taylor acknowledged that far more complex tools might be required to document the effect of racial or ethnic differences in drug efficacy and safety in a research setting.

Outside of a research setting, any tools that might be useful for assessing race as a variable must be practical, according to Dr. Harvey. She suggested that these must be time efficient, of reasonable cost, and most importantly, reliable.

Tools meeting these criteria do not currently exist, but Dr. Harvey said the work is underway. She expects a “top-down” collaborative approach to validate alternatives to the FST. If such tools can be developed with buy-in from the FDA, they might be particularly useful for translating trial data to patient care, she added.

Dr. Harvey reported financial relationships with AbbVie, Bristol-Myers Squibb, Janssen, Johnson & Johnson, L’Oréal, and SkinCeuticals. Dr. Taylor, president-elect of the American Academy of Dermatology, reported financial relationships with more than 25 pharmaceutical and cosmetic companies.

A version of this article appeared on Medscape.com.

Five years have passed since the member states of the World Health Organization (WHO) gathered at the 72nd World Health Assembly and decided that September 17 should be recognized as World Patient Safety Day, acknowledging it as a global health priority.

WHO data indicate the following findings related to medical safety:

• One in 10 patients is harmed while receiving healthcare, and 3 million die as a result.
• More than half of these incidents could be prevented.
• Indirect costs could amount to several billion US dollars annually.

Given the magnitude of preventable harm related to medication use, in 2017, the WHO launched the third Global Patient Safety Challenge: Medication Without Harm with the goal of reducing serious and preventable harm related to medication by 50%. In addition, considering the volume of medication packages prescribed in 2023 by physicians in Spain’s National Health System, it is necessary to understand the most common types of medication errors to provide an effective and efficient response.

According to Spain’s Institute for Safe Medication Practices (ISMP), the 10 types of medication errors detected in 2020 with the most serious consequences were the following:

• Errors due to omission or delay in medication.
• Administration of medication to the wrong patient.
• Errors related to allergies or known adverse effects of medications.
• Dosing errors in pediatric patients.
• Errors due to similarities in the labeling or packaging of marketed medications.
• Errors associated with the lack of use of smart infusion pumps.
• Errors due to accidental administration of neuromuscular blocking agents.
• Incorrect intravenous administration of oral liquid medications.
• Errors in medication reconciliation upon hospital admission and discharge.
• Errors due to patient misunderstandings regarding medication use.

I would like to focus on the fifth item, errors due to similarities in the labeling or packaging of marketed medications.

Medications with similar names or with similar labeling or packaging are known as “look alike–sound alike” medications. They are estimated to account for between 6.2% and 14.7% of all medication errors. Confusion can arise due to spelling and phonetic similarities.

As shown in bulletin no. 50 of the ISMP, difficulties in distinguishing different medications or different presentations of the same medication due to similar packaging and labeling have frequently been associated with reported incidents.

Most cases involve either medications marketed by the same laboratory with a design based on brand image or different medications marketed by different laboratories in screen-printed ampoules used in the same settings.

In 2020, the ISMP published 11 new cases of labeling or packaging that may promote errors on its website. It reported 49 incidents to the Spanish Agency for Medicines and Medical Devices.

Shortages caused by the COVID-19 pandemic have further contributed to these incidents, as healthcare facilities sometimes had to change the medications they usually acquired and purchase whatever was available, without being able to select products that would not be confused with existing medications in the facility.

The ISMP recommends the following general practices for healthcare institutions, professionals, and patients to prevent these errors:

• Develop short lists of easily confused medication names and distribute them among all healthcare professionals.
• Prioritize medication names by active ingredient instead of brand name.
• For similar names, highlight the differences in capital letters, eg, DOBUTamine, DOPamine.
• For similar active ingredients, use brand names.
• Avoid placing similar medications near each other.
• Prescribe all medications electronically to minimize the risk of selecting the wrong medication.
• Make manual prescriptions legible, with clearly written dosages and pharmaceutical forms.
• Encourage patients to actively participate in their treatment and consult a clinician if they have any questions about the medications they are receiving.
• Raise awareness among patients, family members, and caregivers about the issues caused by medication name confusion and inform them about how to avoid these errors.
• Instruct patients to focus on and always use the active ingredient name as an identifying element for the medications they are taking.
• Review treatments with patients to ensure they know the medications they are taking.
•  

Julia María Ruiz Redondo is the regional nursing advisor inspector of Spanish Society of General and Family Physicians of Castilla-La Mancha (SEMG-CLM), coordinator of the National Working Group on Public Health in the SEMG, and director of the international public health master’s degree at TECH Technological University. This article is the result of an editorial collaboration between the SEMG and Univadis, which you can access here. 

This story was translated from Univadis Spain, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Five years have passed since the member states of the World Health Organization (WHO) gathered at the 72nd World Health Assembly and decided that September 17 should be recognized as World Patient Safety Day, acknowledging it as a global health priority.

WHO data indicate the following findings related to medical safety:

• One in 10 patients is harmed while receiving healthcare, and 3 million die as a result.
• More than half of these incidents could be prevented.
• Indirect costs could amount to several billion US dollars annually.

Given the magnitude of preventable harm related to medication use, in 2017, the WHO launched the third Global Patient Safety Challenge: Medication Without Harm with the goal of reducing serious and preventable harm related to medication by 50%. In addition, considering the volume of medication packages prescribed in 2023 by physicians in Spain’s National Health System, it is necessary to understand the most common types of medication errors to provide an effective and efficient response.

According to Spain’s Institute for Safe Medication Practices (ISMP), the 10 types of medication errors detected in 2020 with the most serious consequences were the following:

• Errors due to omission or delay in medication.
• Administration of medication to the wrong patient.
• Errors related to allergies or known adverse effects of medications.
• Dosing errors in pediatric patients.
• Errors due to similarities in the labeling or packaging of marketed medications.
• Errors associated with the lack of use of smart infusion pumps.
• Errors due to accidental administration of neuromuscular blocking agents.
• Incorrect intravenous administration of oral liquid medications.
• Errors in medication reconciliation upon hospital admission and discharge.
• Errors due to patient misunderstandings regarding medication use.

I would like to focus on the fifth item, errors due to similarities in the labeling or packaging of marketed medications.

Medications with similar names or with similar labeling or packaging are known as “look alike–sound alike” medications. They are estimated to account for between 6.2% and 14.7% of all medication errors. Confusion can arise due to spelling and phonetic similarities.

As shown in bulletin no. 50 of the ISMP, difficulties in distinguishing different medications or different presentations of the same medication due to similar packaging and labeling have frequently been associated with reported incidents.

Most cases involve either medications marketed by the same laboratory with a design based on brand image or different medications marketed by different laboratories in screen-printed ampoules used in the same settings.

In 2020, the ISMP published 11 new cases of labeling or packaging that may promote errors on its website. It reported 49 incidents to the Spanish Agency for Medicines and Medical Devices.

Shortages caused by the COVID-19 pandemic have further contributed to these incidents, as healthcare facilities sometimes had to change the medications they usually acquired and purchase whatever was available, without being able to select products that would not be confused with existing medications in the facility.

The ISMP recommends the following general practices for healthcare institutions, professionals, and patients to prevent these errors:

• Develop short lists of easily confused medication names and distribute them among all healthcare professionals.
• Prioritize medication names by active ingredient instead of brand name.
• For similar names, highlight the differences in capital letters, eg, DOBUTamine, DOPamine.
• For similar active ingredients, use brand names.
• Avoid placing similar medications near each other.
• Prescribe all medications electronically to minimize the risk of selecting the wrong medication.
• Make manual prescriptions legible, with clearly written dosages and pharmaceutical forms.
• Encourage patients to actively participate in their treatment and consult a clinician if they have any questions about the medications they are receiving.
• Raise awareness among patients, family members, and caregivers about the issues caused by medication name confusion and inform them about how to avoid these errors.
• Instruct patients to focus on and always use the active ingredient name as an identifying element for the medications they are taking.
• Review treatments with patients to ensure they know the medications they are taking.
•  

Julia María Ruiz Redondo is the regional nursing advisor inspector of Spanish Society of General and Family Physicians of Castilla-La Mancha (SEMG-CLM), coordinator of the National Working Group on Public Health in the SEMG, and director of the international public health master’s degree at TECH Technological University. This article is the result of an editorial collaboration between the SEMG and Univadis, which you can access here. 

This story was translated from Univadis Spain, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Five years have passed since the member states of the World Health Organization (WHO) gathered at the 72nd World Health Assembly and decided that September 17 should be recognized as World Patient Safety Day, acknowledging it as a global health priority.

WHO data indicate the following findings related to medical safety:

• One in 10 patients is harmed while receiving healthcare, and 3 million die as a result.
• More than half of these incidents could be prevented.
• Indirect costs could amount to several billion US dollars annually.

Given the magnitude of preventable harm related to medication use, in 2017, the WHO launched the third Global Patient Safety Challenge: Medication Without Harm with the goal of reducing serious and preventable harm related to medication by 50%. In addition, considering the volume of medication packages prescribed in 2023 by physicians in Spain’s National Health System, it is necessary to understand the most common types of medication errors to provide an effective and efficient response.

According to Spain’s Institute for Safe Medication Practices (ISMP), the 10 types of medication errors detected in 2020 with the most serious consequences were the following:

• Errors due to omission or delay in medication.
• Administration of medication to the wrong patient.
• Errors related to allergies or known adverse effects of medications.
• Dosing errors in pediatric patients.
• Errors due to similarities in the labeling or packaging of marketed medications.
• Errors associated with the lack of use of smart infusion pumps.
• Errors due to accidental administration of neuromuscular blocking agents.
• Incorrect intravenous administration of oral liquid medications.
• Errors in medication reconciliation upon hospital admission and discharge.
• Errors due to patient misunderstandings regarding medication use.

I would like to focus on the fifth item, errors due to similarities in the labeling or packaging of marketed medications.

Medications with similar names or with similar labeling or packaging are known as “look alike–sound alike” medications. They are estimated to account for between 6.2% and 14.7% of all medication errors. Confusion can arise due to spelling and phonetic similarities.

As shown in bulletin no. 50 of the ISMP, difficulties in distinguishing different medications or different presentations of the same medication due to similar packaging and labeling have frequently been associated with reported incidents.

Most cases involve either medications marketed by the same laboratory with a design based on brand image or different medications marketed by different laboratories in screen-printed ampoules used in the same settings.

In 2020, the ISMP published 11 new cases of labeling or packaging that may promote errors on its website. It reported 49 incidents to the Spanish Agency for Medicines and Medical Devices.

Shortages caused by the COVID-19 pandemic have further contributed to these incidents, as healthcare facilities sometimes had to change the medications they usually acquired and purchase whatever was available, without being able to select products that would not be confused with existing medications in the facility.

The ISMP recommends the following general practices for healthcare institutions, professionals, and patients to prevent these errors:

• Develop short lists of easily confused medication names and distribute them among all healthcare professionals.
• Prioritize medication names by active ingredient instead of brand name.
• For similar names, highlight the differences in capital letters, eg, DOBUTamine, DOPamine.
• For similar active ingredients, use brand names.
• Avoid placing similar medications near each other.
• Prescribe all medications electronically to minimize the risk of selecting the wrong medication.
• Make manual prescriptions legible, with clearly written dosages and pharmaceutical forms.
• Encourage patients to actively participate in their treatment and consult a clinician if they have any questions about the medications they are receiving.
• Raise awareness among patients, family members, and caregivers about the issues caused by medication name confusion and inform them about how to avoid these errors.
• Instruct patients to focus on and always use the active ingredient name as an identifying element for the medications they are taking.
• Review treatments with patients to ensure they know the medications they are taking.
•  

Julia María Ruiz Redondo is the regional nursing advisor inspector of Spanish Society of General and Family Physicians of Castilla-La Mancha (SEMG-CLM), coordinator of the National Working Group on Public Health in the SEMG, and director of the international public health master’s degree at TECH Technological University. This article is the result of an editorial collaboration between the SEMG and Univadis, which you can access here. 

This story was translated from Univadis Spain, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Pesticides have transformed modern agriculture by boosting production yields and helping alleviate food insecurity amid rapid global population growth. However, from a public health perspective, exposure to pesticides has been linked to numerous harmful effects, including neurologic disorders like Parkinson’s disease, weakened immune function, and an increased risk for cancer.

Pesticide exposure has been associated with cancers such as colorectal cancer, lung cancer, leukemia (in children and adults), lymphoma, and pancreatic cancer. But these studies primarily have focused on specific groups of individuals with known exposure to certain pesticides or cancer types, thus offering a limited perspective.

A comprehensive assessment of how pesticide use affects cancer risk across a broader population has yet to be conducted.

A recent population-level study aimed to address this gap by evaluating cancer risks in the US population using a model that accounts for pesticide use and adjusts for various factors. The goal was to identify regional disparities in exposure and contribute to the development of public health policies that protect populations from potential harm.
 

Calculating Cancer Risk

Researchers developed a model using several data sources to estimate the additional cancer risk from agricultural pesticide use. Key data included:

• Pesticide use data from the US Geological Survey in 2019, which covered 69 agricultural pesticides across 3143 counties
• Cancer incidence rates per 100,000 people, which were collected between 2015 and 2019 by the National Institutes of Health and the Centers for Disease Control and Prevention; these data covered various cancers, including bladder, colorectal, leukemia, lung, non-Hodgkin lymphoma, and pancreatic cancers
• Covariates, including smoking prevalence, the Social Vulnerability Index, agricultural land use, and total US population in 2019

Pesticide use profile patterns were developed using latent class analysis, a statistical method used to identify homogeneous subgroups within a heterogeneous population. A generalized linear model then estimated how these pesticide use patterns and the covariates affected cancer incidence.

The model highlighted regions with the highest and lowest “additional” cancer risks linked to pesticide exposure, calculating the estimated increase in cancer cases per year that resulted from variations in agricultural pesticide use.
 

Midwest Most Affected

While this model doesn’t establish causality or assess individual risk, it reveals regional trends in the association between pesticide use patterns and cancer incidence from a population-based perspective.

The Midwest, known for its high corn production, emerged as the region most affected by pesticide use. Compared with regions with the lowest risk, the Midwest faced an additional 154,541 cancer cases annually across all types. For colorectal and pancreatic cancers, the yearly increases were 20,927 and 3835 cases, respectively. Similar trends were observed for leukemia and non-Hodgkin lymphoma.
 

Pesticides vs Smoking

The researchers also estimated the additional cancer risk related to smoking, using the same model. They found that pesticides contributed to a higher risk for cancer than smoking in several cases.

The most significant difference was observed with non-Hodgkin lymphoma, where pesticides were linked to 154.1% more cases than smoking. For all cancers combined, as well as bladder cancer and leukemia, the increases were moderate: 18.7%, 19.3%, and 21.0%, respectively.

This result highlights the importance of considering pesticide exposure alongside smoking when studying cancer risks.
 

Expanding Scope of Research

Some limitations of this study should be noted. Certain counties lacked complete data, and there was heterogeneity in the size and population of the counties studied. The research also did not account for seasonal and migrant workers, who are likely to be heavily exposed. In addition, the data used in the study were not independently validated, and they could not be used to assess individual risk.

The effect of pesticides on human health is a vast and critical field of research, often focusing on a limited range of pesticides or specific cancers. This study stands out by taking a broader, more holistic approach, aiming to highlight regional inequalities and identify less-studied pesticides that could be future research priorities.

Given the significant public health impact, the authors encouraged the authorities to share these findings with the most vulnerable communities to raise awareness.
 

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

Pesticides have transformed modern agriculture by boosting production yields and helping alleviate food insecurity amid rapid global population growth. However, from a public health perspective, exposure to pesticides has been linked to numerous harmful effects, including neurologic disorders like Parkinson’s disease, weakened immune function, and an increased risk for cancer.

Pesticide exposure has been associated with cancers such as colorectal cancer, lung cancer, leukemia (in children and adults), lymphoma, and pancreatic cancer. But these studies primarily have focused on specific groups of individuals with known exposure to certain pesticides or cancer types, thus offering a limited perspective.

A comprehensive assessment of how pesticide use affects cancer risk across a broader population has yet to be conducted.

A recent population-level study aimed to address this gap by evaluating cancer risks in the US population using a model that accounts for pesticide use and adjusts for various factors. The goal was to identify regional disparities in exposure and contribute to the development of public health policies that protect populations from potential harm.
 

Calculating Cancer Risk

Researchers developed a model using several data sources to estimate the additional cancer risk from agricultural pesticide use. Key data included:

• Pesticide use data from the US Geological Survey in 2019, which covered 69 agricultural pesticides across 3143 counties
• Cancer incidence rates per 100,000 people, which were collected between 2015 and 2019 by the National Institutes of Health and the Centers for Disease Control and Prevention; these data covered various cancers, including bladder, colorectal, leukemia, lung, non-Hodgkin lymphoma, and pancreatic cancers
• Covariates, including smoking prevalence, the Social Vulnerability Index, agricultural land use, and total US population in 2019

Pesticide use profile patterns were developed using latent class analysis, a statistical method used to identify homogeneous subgroups within a heterogeneous population. A generalized linear model then estimated how these pesticide use patterns and the covariates affected cancer incidence.

The model highlighted regions with the highest and lowest “additional” cancer risks linked to pesticide exposure, calculating the estimated increase in cancer cases per year that resulted from variations in agricultural pesticide use.
 

Midwest Most Affected

While this model doesn’t establish causality or assess individual risk, it reveals regional trends in the association between pesticide use patterns and cancer incidence from a population-based perspective.

The Midwest, known for its high corn production, emerged as the region most affected by pesticide use. Compared with regions with the lowest risk, the Midwest faced an additional 154,541 cancer cases annually across all types. For colorectal and pancreatic cancers, the yearly increases were 20,927 and 3835 cases, respectively. Similar trends were observed for leukemia and non-Hodgkin lymphoma.
 

Pesticides vs Smoking

The researchers also estimated the additional cancer risk related to smoking, using the same model. They found that pesticides contributed to a higher risk for cancer than smoking in several cases.

The most significant difference was observed with non-Hodgkin lymphoma, where pesticides were linked to 154.1% more cases than smoking. For all cancers combined, as well as bladder cancer and leukemia, the increases were moderate: 18.7%, 19.3%, and 21.0%, respectively.

This result highlights the importance of considering pesticide exposure alongside smoking when studying cancer risks.
 

Expanding Scope of Research

Some limitations of this study should be noted. Certain counties lacked complete data, and there was heterogeneity in the size and population of the counties studied. The research also did not account for seasonal and migrant workers, who are likely to be heavily exposed. In addition, the data used in the study were not independently validated, and they could not be used to assess individual risk.

The effect of pesticides on human health is a vast and critical field of research, often focusing on a limited range of pesticides or specific cancers. This study stands out by taking a broader, more holistic approach, aiming to highlight regional inequalities and identify less-studied pesticides that could be future research priorities.

Given the significant public health impact, the authors encouraged the authorities to share these findings with the most vulnerable communities to raise awareness.
 

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

Pesticides have transformed modern agriculture by boosting production yields and helping alleviate food insecurity amid rapid global population growth. However, from a public health perspective, exposure to pesticides has been linked to numerous harmful effects, including neurologic disorders like Parkinson’s disease, weakened immune function, and an increased risk for cancer.

Pesticide exposure has been associated with cancers such as colorectal cancer, lung cancer, leukemia (in children and adults), lymphoma, and pancreatic cancer. But these studies primarily have focused on specific groups of individuals with known exposure to certain pesticides or cancer types, thus offering a limited perspective.

A comprehensive assessment of how pesticide use affects cancer risk across a broader population has yet to be conducted.

A recent population-level study aimed to address this gap by evaluating cancer risks in the US population using a model that accounts for pesticide use and adjusts for various factors. The goal was to identify regional disparities in exposure and contribute to the development of public health policies that protect populations from potential harm.
 

Calculating Cancer Risk

Researchers developed a model using several data sources to estimate the additional cancer risk from agricultural pesticide use. Key data included:

• Pesticide use data from the US Geological Survey in 2019, which covered 69 agricultural pesticides across 3143 counties
• Cancer incidence rates per 100,000 people, which were collected between 2015 and 2019 by the National Institutes of Health and the Centers for Disease Control and Prevention; these data covered various cancers, including bladder, colorectal, leukemia, lung, non-Hodgkin lymphoma, and pancreatic cancers
• Covariates, including smoking prevalence, the Social Vulnerability Index, agricultural land use, and total US population in 2019

Pesticide use profile patterns were developed using latent class analysis, a statistical method used to identify homogeneous subgroups within a heterogeneous population. A generalized linear model then estimated how these pesticide use patterns and the covariates affected cancer incidence.

The model highlighted regions with the highest and lowest “additional” cancer risks linked to pesticide exposure, calculating the estimated increase in cancer cases per year that resulted from variations in agricultural pesticide use.
 

Midwest Most Affected

While this model doesn’t establish causality or assess individual risk, it reveals regional trends in the association between pesticide use patterns and cancer incidence from a population-based perspective.

The Midwest, known for its high corn production, emerged as the region most affected by pesticide use. Compared with regions with the lowest risk, the Midwest faced an additional 154,541 cancer cases annually across all types. For colorectal and pancreatic cancers, the yearly increases were 20,927 and 3835 cases, respectively. Similar trends were observed for leukemia and non-Hodgkin lymphoma.
 

Pesticides vs Smoking

The researchers also estimated the additional cancer risk related to smoking, using the same model. They found that pesticides contributed to a higher risk for cancer than smoking in several cases.

The most significant difference was observed with non-Hodgkin lymphoma, where pesticides were linked to 154.1% more cases than smoking. For all cancers combined, as well as bladder cancer and leukemia, the increases were moderate: 18.7%, 19.3%, and 21.0%, respectively.

This result highlights the importance of considering pesticide exposure alongside smoking when studying cancer risks.
 

Expanding Scope of Research

Some limitations of this study should be noted. Certain counties lacked complete data, and there was heterogeneity in the size and population of the counties studied. The research also did not account for seasonal and migrant workers, who are likely to be heavily exposed. In addition, the data used in the study were not independently validated, and they could not be used to assess individual risk.

The effect of pesticides on human health is a vast and critical field of research, often focusing on a limited range of pesticides or specific cancers. This study stands out by taking a broader, more holistic approach, aiming to highlight regional inequalities and identify less-studied pesticides that could be future research priorities.

Given the significant public health impact, the authors encouraged the authorities to share these findings with the most vulnerable communities to raise awareness.
 

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

Patients with obesity or type 2 diabetes (T2D) who stuck with their medication for a year lost more weight with semaglutide than with liraglutide, a new study reported.

Researchers at the Cleveland Clinic reviewed records for 3389 adult patients with obesity who were prescribed one of the glucagon-like peptide 1 (GLP-1) medications for either T2D or obesity between 2015 and 2022. They found that patients who took either semaglutide or liraglutide for obesity were more likely to lose weight than those prescribed the medications for T2D and that semaglutide was associated with greater weight loss.

The study, published in JAMA Network Open, identified “key characteristics that could inform the probability of achieving sustained weight loss of a magnitude large enough to provide clinically significant health benefits,” said lead author Hamlet Gasoyan, PhD, a staff investigator at the Center for Value-Based Care Research in the Department of Internal Medicine of Primary Care Institute, Cleveland Clinic, Cleveland.

Only about 40% of patients continued to take the medications at 1 year. Those who did not continue did not achieve the same level of weight loss, Dr. Gasoyan told this news organization. He and his colleagues will study the factors that lead patients to stop taking the medications in a future paper.

The results from the current paper give patients and clinicians reasonable expectations on the trajectory of weight loss when the drugs are prescribed for diabetes vs obesity, said Dr. Gasoyan, assistant professor of medicine at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland.
 

Semaglutide Superior

Because of the study’s timeframe, the majority of GLP-1s were prescribed for T2D. Liraglutide was approved (as Saxenda) for obesity in December 2020 and semaglutide (as Wegovy) for obesity in June 2021.

The authors were able to capture fills under the brand names and doses approved by the US Food and Drug Administration (FDA) for obesity (Wegovy, 1.7 or 2.4 mg; Saxenda, 3.0 mg), as well as those approved for T2D (Ozempic, 0.5, 1.0, or 2.0 mg; Victoza, 1.2 or 1.8 mg).

The researchers reported that among the 3389 patients, 1341 (39.6%) were prescribed semaglutide and 1444 (42.6%) were prescribed liraglutide for T2D. For obesity, 227 (6.7%) were prescribed liraglutide, and 377 (11.1%) were prescribed semaglutide.

Overall, those with diabetes had a −3.2% mean weight change compared with those with obesity who had a −5.9% mean weight change.

Semaglutide consistently outperformed liraglutide, particularly in obesity.

Overall, at 1 year, the mean percentage weight change among those with obesity was −5.1% with semaglutide compared with −2.2% with liraglutide (P < .001). 

At 1 year, among those with obesity who were persistent in semaglutide use (defined as 90-275 medication days) had a mean body weight of −12.9% vs −5.6% in those taking liraglutide.

Overall, about 40% of patients were persistent at 1 year. But the figure was higher for semaglutide (45.8%) and lower for liraglutide (35.6%).

Liraglutide requires daily injections compared with semaglutide that requires weekly injections. The authors did not study the reasons for medication adherence or discontinuation.

Key factors for achieving a greater than 10% weight loss — considered clinically meaningful — included taking semaglutide, receiving a GLP-1 for obesity, persistent medication use, high dosage, and being female.
 

Real-World Data Welcomed

Michael Weintraub, MD, an obesity medicine specialist and clinical assistant professor at NYU Langone Health, New York City, said that having real-world data on GLP-1 effectiveness has been much needed.

The researchers “did a really good job at stratifying these patients,” he told this news organization, saying that the study “adds to the literature in terms of what we might expect and what things we should look out for when we want to obtain the maximum degree of weight loss and attain overall better metabolic health for our patients.”

One strength: The researchers were able to capture when someone actually filled a prescription, he said. Clinicians don’t always know whether a prescription for a GLP-1 has been filled because patients might go without the drug because of insurance hurdles or supply issues, he said.

Dr. Weintraub was not surprised that the study showed that both GLP-1s produced more weight loss in those with obesity than in those with T2D, as that has become a common finding. No one has been able to explain why there is such a difference, said Dr. Weintraub. “As a field, we actually don’t know the reason behind that yet,” he said.

Given the small number of patients prescribed semaglutide for obesity, that “limits the generalizability,” he said.

Even so, semaglutide is increasingly proving superior, Dr. Weintraub said. “I would reach towards semaglutide every time either for individuals with type 2 diabetes or individuals with obesity,” he said. “The major limitation, though, is insurance coverage rather than, unfortunately, my clinical decision-making.”

He also still sees a role for liraglutide. It will go off patent soon and that could “lead to a lower price point and hopefully greater access for patients,” he said.

Dr. Gasoyan and Dr. Weintraub reported no relevant financial relationships. One coauthor reported receiving advisory board fees from Novo Nordisk and research funding from Eli Lilly during the conduct of the study.
 

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

Patients with obesity or type 2 diabetes (T2D) who stuck with their medication for a year lost more weight with semaglutide than with liraglutide, a new study reported.

Researchers at the Cleveland Clinic reviewed records for 3389 adult patients with obesity who were prescribed one of the glucagon-like peptide 1 (GLP-1) medications for either T2D or obesity between 2015 and 2022. They found that patients who took either semaglutide or liraglutide for obesity were more likely to lose weight than those prescribed the medications for T2D and that semaglutide was associated with greater weight loss.

The study, published in JAMA Network Open, identified “key characteristics that could inform the probability of achieving sustained weight loss of a magnitude large enough to provide clinically significant health benefits,” said lead author Hamlet Gasoyan, PhD, a staff investigator at the Center for Value-Based Care Research in the Department of Internal Medicine of Primary Care Institute, Cleveland Clinic, Cleveland.

Only about 40% of patients continued to take the medications at 1 year. Those who did not continue did not achieve the same level of weight loss, Dr. Gasoyan told this news organization. He and his colleagues will study the factors that lead patients to stop taking the medications in a future paper.

The results from the current paper give patients and clinicians reasonable expectations on the trajectory of weight loss when the drugs are prescribed for diabetes vs obesity, said Dr. Gasoyan, assistant professor of medicine at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland.
 

Semaglutide Superior

Because of the study’s timeframe, the majority of GLP-1s were prescribed for T2D. Liraglutide was approved (as Saxenda) for obesity in December 2020 and semaglutide (as Wegovy) for obesity in June 2021.

The authors were able to capture fills under the brand names and doses approved by the US Food and Drug Administration (FDA) for obesity (Wegovy, 1.7 or 2.4 mg; Saxenda, 3.0 mg), as well as those approved for T2D (Ozempic, 0.5, 1.0, or 2.0 mg; Victoza, 1.2 or 1.8 mg).

The researchers reported that among the 3389 patients, 1341 (39.6%) were prescribed semaglutide and 1444 (42.6%) were prescribed liraglutide for T2D. For obesity, 227 (6.7%) were prescribed liraglutide, and 377 (11.1%) were prescribed semaglutide.

Overall, those with diabetes had a −3.2% mean weight change compared with those with obesity who had a −5.9% mean weight change.

Semaglutide consistently outperformed liraglutide, particularly in obesity.

Overall, at 1 year, the mean percentage weight change among those with obesity was −5.1% with semaglutide compared with −2.2% with liraglutide (P < .001). 

At 1 year, among those with obesity who were persistent in semaglutide use (defined as 90-275 medication days) had a mean body weight of −12.9% vs −5.6% in those taking liraglutide.

Overall, about 40% of patients were persistent at 1 year. But the figure was higher for semaglutide (45.8%) and lower for liraglutide (35.6%).

Liraglutide requires daily injections compared with semaglutide that requires weekly injections. The authors did not study the reasons for medication adherence or discontinuation.

Key factors for achieving a greater than 10% weight loss — considered clinically meaningful — included taking semaglutide, receiving a GLP-1 for obesity, persistent medication use, high dosage, and being female.