CAD & Atherosclerosis

TOPLINE:

Patients with systemic lupus erythematosus (SLE) face more than double the risk for atherosclerotic plaque progression than healthy control individuals without the condition, but management of traditional cardiovascular risk factors and prolonged clinical remission can successfully mitigate it.

METHODOLOGY:

• Researchers performed a prospective study to assess the progression of subclinical atherosclerosis plaques and the development of cardiovascular events in patients with SLE over a 10-year follow-up period.
• They included 111 patients with SLE (mean age, 43 years; 91% women) and 94 matched healthy control individuals without prior atherosclerotic cardiovascular disease (CVD), active malignancy, pregnancy, or diabetes mellitus who underwent carotid ultrasound measurements.
• A total of 738 carotid measurements were analyzed from baseline to 3-, 7-, and 10-year follow-up periods for assessing new carotid plaque development; incident CVD events were also analyzed during follow-up.
• Disease remission was evaluated based on the Definition of Remission in SLE criteria.
• Target for management of cardiovascular risk factors was based on standard recommendations.
•  

TAKEAWAY:

• During the 10-year follow-up, patients with SLE showed a 2.3-fold higher risk for plaque progression than healthy control participants (adjusted incidence rate ratio [aIRR], 2.26; P = .002).
• Achieving risk reduction target for each standard cardiovascular risk factor (blood pressure, lipids, smoking, body weight, and physical activity) was associated with a 32% reduction in the risk for plaque progression (aIRR, 0.68; P = .004).
• Staying in remission for ≥ 75% of the follow-up period was significantly associated with a 43% reduction in the risk for plaque progression (aIRR, 0.57; P = .033).
• Patients with SLE also had a higher incidence of CVD events than healthy control participants (permutation-based log-rank P = .036).
•  

IN PRACTICE:

“These findings support the importance of prioritizing sustained remission rather than a low disease activity state for the prevention of atherosclerosis development and progression in SLE,” the authors wrote.

SOURCE:

The study was led by Nikolaos Papazoglou, MD, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens in Greece. It was published online on December 25, 2024, in Arthritis & Rheumatology.

LIMITATIONS:

The study had limited statistical power to perform a multivariate analysis of incident CVD events due to low event rates. The cohort consisted solely of White Europeans, possibly limiting the generalizability of the findings to more ethnically diverse populations. Because antiphospholipid antibodies are known to be associated with CVD events in the general population, the lack of testing for antiphospholipid antibody positivity in healthy control participants could be another limitation.

DISCLOSURES:

The study did not receive any funding from public, commercial, or not-for-profit sectors. The authors reported no competing interests.

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

TOPLINE:

Patients with systemic lupus erythematosus (SLE) face more than double the risk for atherosclerotic plaque progression than healthy control individuals without the condition, but management of traditional cardiovascular risk factors and prolonged clinical remission can successfully mitigate it.

METHODOLOGY:

• Researchers performed a prospective study to assess the progression of subclinical atherosclerosis plaques and the development of cardiovascular events in patients with SLE over a 10-year follow-up period.
• They included 111 patients with SLE (mean age, 43 years; 91% women) and 94 matched healthy control individuals without prior atherosclerotic cardiovascular disease (CVD), active malignancy, pregnancy, or diabetes mellitus who underwent carotid ultrasound measurements.
• A total of 738 carotid measurements were analyzed from baseline to 3-, 7-, and 10-year follow-up periods for assessing new carotid plaque development; incident CVD events were also analyzed during follow-up.
• Disease remission was evaluated based on the Definition of Remission in SLE criteria.
• Target for management of cardiovascular risk factors was based on standard recommendations.
•  

TAKEAWAY:

• During the 10-year follow-up, patients with SLE showed a 2.3-fold higher risk for plaque progression than healthy control participants (adjusted incidence rate ratio [aIRR], 2.26; P = .002).
• Achieving risk reduction target for each standard cardiovascular risk factor (blood pressure, lipids, smoking, body weight, and physical activity) was associated with a 32% reduction in the risk for plaque progression (aIRR, 0.68; P = .004).
• Staying in remission for ≥ 75% of the follow-up period was significantly associated with a 43% reduction in the risk for plaque progression (aIRR, 0.57; P = .033).
• Patients with SLE also had a higher incidence of CVD events than healthy control participants (permutation-based log-rank P = .036).
•  

IN PRACTICE:

“These findings support the importance of prioritizing sustained remission rather than a low disease activity state for the prevention of atherosclerosis development and progression in SLE,” the authors wrote.

SOURCE:

The study was led by Nikolaos Papazoglou, MD, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens in Greece. It was published online on December 25, 2024, in Arthritis & Rheumatology.

LIMITATIONS:

The study had limited statistical power to perform a multivariate analysis of incident CVD events due to low event rates. The cohort consisted solely of White Europeans, possibly limiting the generalizability of the findings to more ethnically diverse populations. Because antiphospholipid antibodies are known to be associated with CVD events in the general population, the lack of testing for antiphospholipid antibody positivity in healthy control participants could be another limitation.

DISCLOSURES:

The study did not receive any funding from public, commercial, or not-for-profit sectors. The authors reported no competing interests.

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

TOPLINE:

Patients with systemic lupus erythematosus (SLE) face more than double the risk for atherosclerotic plaque progression than healthy control individuals without the condition, but management of traditional cardiovascular risk factors and prolonged clinical remission can successfully mitigate it.

METHODOLOGY:

• Researchers performed a prospective study to assess the progression of subclinical atherosclerosis plaques and the development of cardiovascular events in patients with SLE over a 10-year follow-up period.
• They included 111 patients with SLE (mean age, 43 years; 91% women) and 94 matched healthy control individuals without prior atherosclerotic cardiovascular disease (CVD), active malignancy, pregnancy, or diabetes mellitus who underwent carotid ultrasound measurements.
• A total of 738 carotid measurements were analyzed from baseline to 3-, 7-, and 10-year follow-up periods for assessing new carotid plaque development; incident CVD events were also analyzed during follow-up.
• Disease remission was evaluated based on the Definition of Remission in SLE criteria.
• Target for management of cardiovascular risk factors was based on standard recommendations.
•  

TAKEAWAY:

• During the 10-year follow-up, patients with SLE showed a 2.3-fold higher risk for plaque progression than healthy control participants (adjusted incidence rate ratio [aIRR], 2.26; P = .002).
• Achieving risk reduction target for each standard cardiovascular risk factor (blood pressure, lipids, smoking, body weight, and physical activity) was associated with a 32% reduction in the risk for plaque progression (aIRR, 0.68; P = .004).
• Staying in remission for ≥ 75% of the follow-up period was significantly associated with a 43% reduction in the risk for plaque progression (aIRR, 0.57; P = .033).
• Patients with SLE also had a higher incidence of CVD events than healthy control participants (permutation-based log-rank P = .036).
•  

IN PRACTICE:

“These findings support the importance of prioritizing sustained remission rather than a low disease activity state for the prevention of atherosclerosis development and progression in SLE,” the authors wrote.

SOURCE:

The study was led by Nikolaos Papazoglou, MD, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens in Greece. It was published online on December 25, 2024, in Arthritis & Rheumatology.

LIMITATIONS:

The study had limited statistical power to perform a multivariate analysis of incident CVD events due to low event rates. The cohort consisted solely of White Europeans, possibly limiting the generalizability of the findings to more ethnically diverse populations. Because antiphospholipid antibodies are known to be associated with CVD events in the general population, the lack of testing for antiphospholipid antibody positivity in healthy control participants could be another limitation.

DISCLOSURES:

The study did not receive any funding from public, commercial, or not-for-profit sectors. The authors reported no competing interests.

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

TOPLINE:

The newer biologics — interleukin (IL)–17, IL-12/23, and IL-23 inhibitors — demonstrate comparable cardiovascular safety profiles to tumor necrosis factor (TNF) inhibitors in biologic-naive patients with psoriasis or psoriatic arthritis (PsA).

METHODOLOGY:

• In a retrospective cohort study, researchers conducted an emulated target trial analysis using data of 32,098 biologic-naive patients with psoriasis or PsA who were treated with one of the newer biologics (infliximab, adalimumab, etanercept, certolizumab pegol, secukinumab, ixekizumab, brodalumab, ustekinumab, risankizumab, guselkumab, and tildrakizumab) from the TriNetX Research Network between 2014 and 2022.
• Patients received TNF inhibitors (n = 20,314), IL-17 inhibitors (n = 5073), IL-12/23 inhibitors (n = 3573), or IL-23 inhibitors (n = 3138).
• A propensity-matched analysis compared each class of newer biologics with TNF inhibitors, adjusting for demographics, comorbidities, and medication use.
• The primary outcomes were major adverse cardiovascular events (MACE; myocardial infarction and stroke) or venous thromboembolic events (VTE).

TAKEAWAY:

• Compared with patients who received TNF inhibitors, the risk for MACE was not significantly different between patients who received IL-17 inhibitors (incidence rate ratio [IRR], 1.14; 95% CI, 0.86-1.52), IL-12/23 inhibitors (IRR, 1.24; 95% CI, 0.84-1.78), or IL-23 inhibitors (IRR, 0.93; 95% CI, 0.61-1.38)
• The VTE risk was also not significantly different between patients who received IL-17 inhibitors (IRR, 1.12; 95% CI, 0.63-2.08), IL-12/23 inhibitors (IRR, 1.51; 95% CI, 0.73-3.19), or IL-23 inhibitors (IRR, 1.42; 95% CI, 0.64-3.25) compared with those who received TNF inhibitors.
• Subgroup analyses for psoriasis or psoriatic arthritis alone confirmed consistent findings.
• Patients with preexisting hyperlipidemia and diabetes mellitus showed lower risks for MACE and VTE with newer biologics compared with TNF inhibitors. 

IN PRACTICE:

“No significant MACE and VTE risk differences were detected in patients with psoriasis or PsA between those receiving IL-17, IL-12/23, and IL-23 inhibitors and those with TNF inhibitors,” the authors concluded. These findings, they added “can be considered by physicians and patients when making treatment decisions” and also provide “evidence for future pharmacovigilance studies.”

SOURCE:

The study was led by Tai-Li Chen, MD, of the Department of Dermatology, Taipei Veterans General Hospital in Taipei, Taiwan. It was published online on December 27, 2024, in the Journal of the American Academy of Dermatology.

LIMITATIONS:

Study limitations included potential residual confounding factors, lack of information on disease severity, and inclusion of predominantly White individuals.

DISCLOSURES:

The study received support from Taipei Veterans General Hospital and Ministry of Science and Technology, Taiwan. The authors reported no conflicts of interest.

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

TOPLINE:

The newer biologics — interleukin (IL)–17, IL-12/23, and IL-23 inhibitors — demonstrate comparable cardiovascular safety profiles to tumor necrosis factor (TNF) inhibitors in biologic-naive patients with psoriasis or psoriatic arthritis (PsA).

METHODOLOGY:

• In a retrospective cohort study, researchers conducted an emulated target trial analysis using data of 32,098 biologic-naive patients with psoriasis or PsA who were treated with one of the newer biologics (infliximab, adalimumab, etanercept, certolizumab pegol, secukinumab, ixekizumab, brodalumab, ustekinumab, risankizumab, guselkumab, and tildrakizumab) from the TriNetX Research Network between 2014 and 2022.
• Patients received TNF inhibitors (n = 20,314), IL-17 inhibitors (n = 5073), IL-12/23 inhibitors (n = 3573), or IL-23 inhibitors (n = 3138).
• A propensity-matched analysis compared each class of newer biologics with TNF inhibitors, adjusting for demographics, comorbidities, and medication use.
• The primary outcomes were major adverse cardiovascular events (MACE; myocardial infarction and stroke) or venous thromboembolic events (VTE).

TAKEAWAY:

• Compared with patients who received TNF inhibitors, the risk for MACE was not significantly different between patients who received IL-17 inhibitors (incidence rate ratio [IRR], 1.14; 95% CI, 0.86-1.52), IL-12/23 inhibitors (IRR, 1.24; 95% CI, 0.84-1.78), or IL-23 inhibitors (IRR, 0.93; 95% CI, 0.61-1.38)
• The VTE risk was also not significantly different between patients who received IL-17 inhibitors (IRR, 1.12; 95% CI, 0.63-2.08), IL-12/23 inhibitors (IRR, 1.51; 95% CI, 0.73-3.19), or IL-23 inhibitors (IRR, 1.42; 95% CI, 0.64-3.25) compared with those who received TNF inhibitors.
• Subgroup analyses for psoriasis or psoriatic arthritis alone confirmed consistent findings.
• Patients with preexisting hyperlipidemia and diabetes mellitus showed lower risks for MACE and VTE with newer biologics compared with TNF inhibitors. 

IN PRACTICE:

“No significant MACE and VTE risk differences were detected in patients with psoriasis or PsA between those receiving IL-17, IL-12/23, and IL-23 inhibitors and those with TNF inhibitors,” the authors concluded. These findings, they added “can be considered by physicians and patients when making treatment decisions” and also provide “evidence for future pharmacovigilance studies.”

SOURCE:

The study was led by Tai-Li Chen, MD, of the Department of Dermatology, Taipei Veterans General Hospital in Taipei, Taiwan. It was published online on December 27, 2024, in the Journal of the American Academy of Dermatology.

LIMITATIONS:

Study limitations included potential residual confounding factors, lack of information on disease severity, and inclusion of predominantly White individuals.

DISCLOSURES:

The study received support from Taipei Veterans General Hospital and Ministry of Science and Technology, Taiwan. The authors reported no conflicts of interest.

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

TOPLINE:

The newer biologics — interleukin (IL)–17, IL-12/23, and IL-23 inhibitors — demonstrate comparable cardiovascular safety profiles to tumor necrosis factor (TNF) inhibitors in biologic-naive patients with psoriasis or psoriatic arthritis (PsA).

METHODOLOGY:

• In a retrospective cohort study, researchers conducted an emulated target trial analysis using data of 32,098 biologic-naive patients with psoriasis or PsA who were treated with one of the newer biologics (infliximab, adalimumab, etanercept, certolizumab pegol, secukinumab, ixekizumab, brodalumab, ustekinumab, risankizumab, guselkumab, and tildrakizumab) from the TriNetX Research Network between 2014 and 2022.
• Patients received TNF inhibitors (n = 20,314), IL-17 inhibitors (n = 5073), IL-12/23 inhibitors (n = 3573), or IL-23 inhibitors (n = 3138).
• A propensity-matched analysis compared each class of newer biologics with TNF inhibitors, adjusting for demographics, comorbidities, and medication use.
• The primary outcomes were major adverse cardiovascular events (MACE; myocardial infarction and stroke) or venous thromboembolic events (VTE).

TAKEAWAY:

• Compared with patients who received TNF inhibitors, the risk for MACE was not significantly different between patients who received IL-17 inhibitors (incidence rate ratio [IRR], 1.14; 95% CI, 0.86-1.52), IL-12/23 inhibitors (IRR, 1.24; 95% CI, 0.84-1.78), or IL-23 inhibitors (IRR, 0.93; 95% CI, 0.61-1.38)
• The VTE risk was also not significantly different between patients who received IL-17 inhibitors (IRR, 1.12; 95% CI, 0.63-2.08), IL-12/23 inhibitors (IRR, 1.51; 95% CI, 0.73-3.19), or IL-23 inhibitors (IRR, 1.42; 95% CI, 0.64-3.25) compared with those who received TNF inhibitors.
• Subgroup analyses for psoriasis or psoriatic arthritis alone confirmed consistent findings.
• Patients with preexisting hyperlipidemia and diabetes mellitus showed lower risks for MACE and VTE with newer biologics compared with TNF inhibitors. 

IN PRACTICE:

“No significant MACE and VTE risk differences were detected in patients with psoriasis or PsA between those receiving IL-17, IL-12/23, and IL-23 inhibitors and those with TNF inhibitors,” the authors concluded. These findings, they added “can be considered by physicians and patients when making treatment decisions” and also provide “evidence for future pharmacovigilance studies.”

SOURCE:

The study was led by Tai-Li Chen, MD, of the Department of Dermatology, Taipei Veterans General Hospital in Taipei, Taiwan. It was published online on December 27, 2024, in the Journal of the American Academy of Dermatology.

LIMITATIONS:

Study limitations included potential residual confounding factors, lack of information on disease severity, and inclusion of predominantly White individuals.

DISCLOSURES:

The study received support from Taipei Veterans General Hospital and Ministry of Science and Technology, Taiwan. The authors reported no conflicts of interest.

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

Forty-five circulating proteins in plasma are linked to the risk for myocardial infarction (MI), showed a new study that confirms some known associations and identifies new ones. Several proteins are associated with MI in women but not men, and some proteins linked with MI in both men and women are more strongly associated with MI in women.

“We hope that our study will shed light on pathways in MI,” said principal author Olga Titova, PhD, an epidemiologist at Uppsala University in Uppsala, Sweden. The work was published in the European Heart Journal.

Martha Gulati, MD, a cardiologist and associate director of the Barbra Streisand Women’s Heart Center at Cedars-Sinai Medical Center in Los Angeles and coauthor of an accompanying editorial, said the novel discovery of different patterns between men and women makes this an exciting study. The findings “highlight that sex differences in disease phenotype begin at the molecular level,” she said.

Titova and her team analyzed thousands of patients in two databases — one in Sweden (11,751 patients), the other in the United Kingdom (51,613 patients) — to discover proteins in the patients who went on to have an MI. Using one database to discover biomarkers and a second to replicate the findings is a common approach, said Titova.

Casting a Wide Net to Catch Proteins

The two databases “make findings more generalizable, allow us to confirm robust associations, and help minimize the risk of false positives.” The two databases mean researchers are more confident that the findings can be applied across populations, Titova added.

A total of 44 proteins were associated with later MI in both databases, adjusted for common MI risk factors as well as such factors as education, diet, physical activity, and alcohol intake, Titova explained. An additional protein was included from the first database that was unavailable in the second. Some of the proteins have been found in other studies, and this study confirms the link. Others were new, and a few appear to protect patients from MI.

“Most of the proteins are related to or involved in inflammation and atherosclerosis,” said Titova.

This is the first study to cast such a wide net, Titova pointed out. While several proteins have previously been linked to MI, most earlier studies have focused on specific proteins in populations that already have coronary artery disease or have involved cohorts of men only.

But she stresses that this study poses more questions than it answers. More research is needed to determine how proteins are involved in pathways leading to MI. The study found that some proteins may be mediators of general cardiovascular disease risk, whereas others are involved in mechanisms specifically linked to MI. Many proteins are involved in atherosclerosis, thrombosis, inflammation, immune system–related pathways, injury and tissue repair, coagulation, bone homeostasis, and iron metabolism.

“At this point, some [proteins] appear to be causal, some seem to be an association,” said Titova. It remains to be determined “which are on the causal path, which are potential biomarkers, which are going to shed light on the mechanisms” of MI.

The study took a step toward determining which proteins might be involved in causing MI through an analysis of some protein levels determined by genetics. This found three proteins linked to a higher risk for MI and three linked to a lower risk.

It’s Different for Women

Thirteen of the proteins were linked with later MI in women, either exclusively or more strongly than in men. Many of these associations were replicated in the second database, showing an alignment across populations.

Titova said the reason for the sex difference remains a mystery. “We have to go to the molecular level. It could be a consequence of risk factors affecting the sexes differently or different biology” between men and women.

Gulati, who specializes in women’s heart health, explained, “We know inflammation is much more prevalent in women and is the pathway to cardiovascular disease.” She points out that noncardiac inflammatory diseases are also more prevalent in women. Other biomarkers for inflammation, such as C-reactive protein, are higher in women than in men. She thinks the underlying mechanisms could involve “how we [women] make our proteins and how we respond to hormones.”

By identifying proteins linked to MI in women, the study helps to fill an important gap in our knowledge. “I can’t tell you how many papers don’t even look at sex differences. If we don’t look, we won’t know there are differences,” Gulati said. “In much of our cardiac research, women are underrepresented.”

The findings of this trial and others like it may lead to new approaches to prevention and treatment, Titova and Gulati agreed. Several proteins found in this study that may have a causal link with MI are already targets of drug development, they added.

Titova said other proteins may be useful in the future as biomarkers that indicate a need for preventive action.

Gulati asked, “If we can show some of the proteins are involved in the inflammatory response — if they are causal and we can prevent them upfront — can we reduce the chance of MI?” She and Titova said the many questions remaining should prove a rewarding avenue for research.

A version of this article appeared on Medscape.com.

Forty-five circulating proteins in plasma are linked to the risk for myocardial infarction (MI), showed a new study that confirms some known associations and identifies new ones. Several proteins are associated with MI in women but not men, and some proteins linked with MI in both men and women are more strongly associated with MI in women.

“We hope that our study will shed light on pathways in MI,” said principal author Olga Titova, PhD, an epidemiologist at Uppsala University in Uppsala, Sweden. The work was published in the European Heart Journal.

Martha Gulati, MD, a cardiologist and associate director of the Barbra Streisand Women’s Heart Center at Cedars-Sinai Medical Center in Los Angeles and coauthor of an accompanying editorial, said the novel discovery of different patterns between men and women makes this an exciting study. The findings “highlight that sex differences in disease phenotype begin at the molecular level,” she said.

Titova and her team analyzed thousands of patients in two databases — one in Sweden (11,751 patients), the other in the United Kingdom (51,613 patients) — to discover proteins in the patients who went on to have an MI. Using one database to discover biomarkers and a second to replicate the findings is a common approach, said Titova.

Casting a Wide Net to Catch Proteins

The two databases “make findings more generalizable, allow us to confirm robust associations, and help minimize the risk of false positives.” The two databases mean researchers are more confident that the findings can be applied across populations, Titova added.

A total of 44 proteins were associated with later MI in both databases, adjusted for common MI risk factors as well as such factors as education, diet, physical activity, and alcohol intake, Titova explained. An additional protein was included from the first database that was unavailable in the second. Some of the proteins have been found in other studies, and this study confirms the link. Others were new, and a few appear to protect patients from MI.

“Most of the proteins are related to or involved in inflammation and atherosclerosis,” said Titova.

This is the first study to cast such a wide net, Titova pointed out. While several proteins have previously been linked to MI, most earlier studies have focused on specific proteins in populations that already have coronary artery disease or have involved cohorts of men only.

But she stresses that this study poses more questions than it answers. More research is needed to determine how proteins are involved in pathways leading to MI. The study found that some proteins may be mediators of general cardiovascular disease risk, whereas others are involved in mechanisms specifically linked to MI. Many proteins are involved in atherosclerosis, thrombosis, inflammation, immune system–related pathways, injury and tissue repair, coagulation, bone homeostasis, and iron metabolism.

“At this point, some [proteins] appear to be causal, some seem to be an association,” said Titova. It remains to be determined “which are on the causal path, which are potential biomarkers, which are going to shed light on the mechanisms” of MI.

The study took a step toward determining which proteins might be involved in causing MI through an analysis of some protein levels determined by genetics. This found three proteins linked to a higher risk for MI and three linked to a lower risk.

It’s Different for Women

Thirteen of the proteins were linked with later MI in women, either exclusively or more strongly than in men. Many of these associations were replicated in the second database, showing an alignment across populations.

Titova said the reason for the sex difference remains a mystery. “We have to go to the molecular level. It could be a consequence of risk factors affecting the sexes differently or different biology” between men and women.

Gulati, who specializes in women’s heart health, explained, “We know inflammation is much more prevalent in women and is the pathway to cardiovascular disease.” She points out that noncardiac inflammatory diseases are also more prevalent in women. Other biomarkers for inflammation, such as C-reactive protein, are higher in women than in men. She thinks the underlying mechanisms could involve “how we [women] make our proteins and how we respond to hormones.”

By identifying proteins linked to MI in women, the study helps to fill an important gap in our knowledge. “I can’t tell you how many papers don’t even look at sex differences. If we don’t look, we won’t know there are differences,” Gulati said. “In much of our cardiac research, women are underrepresented.”

The findings of this trial and others like it may lead to new approaches to prevention and treatment, Titova and Gulati agreed. Several proteins found in this study that may have a causal link with MI are already targets of drug development, they added.

Titova said other proteins may be useful in the future as biomarkers that indicate a need for preventive action.

Gulati asked, “If we can show some of the proteins are involved in the inflammatory response — if they are causal and we can prevent them upfront — can we reduce the chance of MI?” She and Titova said the many questions remaining should prove a rewarding avenue for research.

A version of this article appeared on Medscape.com.

Forty-five circulating proteins in plasma are linked to the risk for myocardial infarction (MI), showed a new study that confirms some known associations and identifies new ones. Several proteins are associated with MI in women but not men, and some proteins linked with MI in both men and women are more strongly associated with MI in women.

“We hope that our study will shed light on pathways in MI,” said principal author Olga Titova, PhD, an epidemiologist at Uppsala University in Uppsala, Sweden. The work was published in the European Heart Journal.

Martha Gulati, MD, a cardiologist and associate director of the Barbra Streisand Women’s Heart Center at Cedars-Sinai Medical Center in Los Angeles and coauthor of an accompanying editorial, said the novel discovery of different patterns between men and women makes this an exciting study. The findings “highlight that sex differences in disease phenotype begin at the molecular level,” she said.

Titova and her team analyzed thousands of patients in two databases — one in Sweden (11,751 patients), the other in the United Kingdom (51,613 patients) — to discover proteins in the patients who went on to have an MI. Using one database to discover biomarkers and a second to replicate the findings is a common approach, said Titova.

Casting a Wide Net to Catch Proteins

The two databases “make findings more generalizable, allow us to confirm robust associations, and help minimize the risk of false positives.” The two databases mean researchers are more confident that the findings can be applied across populations, Titova added.

A total of 44 proteins were associated with later MI in both databases, adjusted for common MI risk factors as well as such factors as education, diet, physical activity, and alcohol intake, Titova explained. An additional protein was included from the first database that was unavailable in the second. Some of the proteins have been found in other studies, and this study confirms the link. Others were new, and a few appear to protect patients from MI.

“Most of the proteins are related to or involved in inflammation and atherosclerosis,” said Titova.

This is the first study to cast such a wide net, Titova pointed out. While several proteins have previously been linked to MI, most earlier studies have focused on specific proteins in populations that already have coronary artery disease or have involved cohorts of men only.

But she stresses that this study poses more questions than it answers. More research is needed to determine how proteins are involved in pathways leading to MI. The study found that some proteins may be mediators of general cardiovascular disease risk, whereas others are involved in mechanisms specifically linked to MI. Many proteins are involved in atherosclerosis, thrombosis, inflammation, immune system–related pathways, injury and tissue repair, coagulation, bone homeostasis, and iron metabolism.

“At this point, some [proteins] appear to be causal, some seem to be an association,” said Titova. It remains to be determined “which are on the causal path, which are potential biomarkers, which are going to shed light on the mechanisms” of MI.

The study took a step toward determining which proteins might be involved in causing MI through an analysis of some protein levels determined by genetics. This found three proteins linked to a higher risk for MI and three linked to a lower risk.

It’s Different for Women

Thirteen of the proteins were linked with later MI in women, either exclusively or more strongly than in men. Many of these associations were replicated in the second database, showing an alignment across populations.

Titova said the reason for the sex difference remains a mystery. “We have to go to the molecular level. It could be a consequence of risk factors affecting the sexes differently or different biology” between men and women.

Gulati, who specializes in women’s heart health, explained, “We know inflammation is much more prevalent in women and is the pathway to cardiovascular disease.” She points out that noncardiac inflammatory diseases are also more prevalent in women. Other biomarkers for inflammation, such as C-reactive protein, are higher in women than in men. She thinks the underlying mechanisms could involve “how we [women] make our proteins and how we respond to hormones.”

By identifying proteins linked to MI in women, the study helps to fill an important gap in our knowledge. “I can’t tell you how many papers don’t even look at sex differences. If we don’t look, we won’t know there are differences,” Gulati said. “In much of our cardiac research, women are underrepresented.”

The findings of this trial and others like it may lead to new approaches to prevention and treatment, Titova and Gulati agreed. Several proteins found in this study that may have a causal link with MI are already targets of drug development, they added.

Titova said other proteins may be useful in the future as biomarkers that indicate a need for preventive action.

Gulati asked, “If we can show some of the proteins are involved in the inflammatory response — if they are causal and we can prevent them upfront — can we reduce the chance of MI?” She and Titova said the many questions remaining should prove a rewarding avenue for research.

A version of this article appeared on Medscape.com.

An individual’s estimated risk of having a heart attack or stroke in the next 10 years is widely used to guide preventative medication prescriptions with statins or antihypertensive drugs in those who have not yet had such an event.

To estimate that risk, doctors use equations that include different risk factors, such as age, cholesterol levels, and blood pressure. The current equations, known as the pooled cohort equations, are considered to be outdated as they were developed in 2013 based on population data from the 1960s and 70s. A new set of risk equations — known as the PREVENT equations — were developed by the American Heart Association (AHA) in 2023, and are based on a more contemporary population. It is anticipated that AHA will recommend these new risk equations be used in clinical practice in the next primary prevention guidelines.

But could these new risk equations do more harm than good?

Two recent studies found that applying the PREVENT risk equations to the US population results in a much lower overall level of risk compared with the pooled cohort equations. And, if the current threshold for starting statin treatment — which is an estimated 7.5% risk of having a heart attack or stroke in the next 10 years — is kept the same, this would result in many fewer patients being eligible for statin treatment.

As cardiovascular risk is also used to guide antihypertensive treatment, the new risk equations would also result in fewer people with borderline high blood pressure being eligible for those medications.

This has raised concerns in the medical community, where there is a widespread view that many more people would benefit from primary prevention treatment, and that anything that may cause fewer people to receive these medications would be harmful. 

“I believe the new equations more accurately predict the risk of the current US population, but we need to be aware of what effect that may have on use of statins,” said Tim Anderson, MD, who studies healthcare delivery at the University of Pittsburgh in Pennsylvania and is lead author of one of the studies evaluating the equations.

Anderson told this news organization that the pooled cohort equations have long been viewed as problematic. 

“Because these equations were based on cohorts from the 1960s and 70s, it is believed they overestimate the current population’s risk of MI and stroke as the burden of disease has shifted in the intervening 50-60 years,” he said.

 

Current Equations Overestimate Risk

The new equations are based on more recent, representative, and diverse cohorts that capture a wider spectrum of the population in terms of race, ethnicity, and socioeconomic status. They also include factors that are now known to be relevant to cardiovascular risk, such as chronic kidney disease.

Anderson compared how the two sets of equations estimated risk of cardiovascular disease in the next 10 years in the US population using the NHANES survey — a large nationally representative survey conducted between 2017 and 2020. 

He found that the pooled cohort equations estimated the population average 10-year risk of cardiovascular disease to be about 8%, but the PREVENT equations estimated it at just over 4%.

“The new equations estimate that the middle-aged US population have almost half the level of risk of MI and stroke over next 10 years compared with the equations used currently. So, we will substantially change risk estimates if the new equations are introduced into practice,” Anderson said. 

The study found that, if the PREVENT equations are adopted in the next set of primary prevention guidelines and the current threshold of a 7.5% risk of having an MI or stroke in the next 10 years is maintained as the starting point for statin treatment, then 17.3 million adults who were previously recommended primary prevention statin therapy would no longer be eligible.

A second, similar study, conducted by a different team of US researchers, estimated that using PREVENT would decrease the number of US adults receiving or recommended for statin therapy by 14.3 million and antihypertensive therapy by 2.62 million.

The researchers, led by James A. Diao, MD, from Harvard Medical School, Boston, Massachusetts, also suggested that over 10 years, reductions in treatment eligibility could result in an estimated 107,000 additional MI or stroke events.

Anderson points out that using the new equations would not affect the highest-risk patients. “They are still going to be high risk whichever equations are used. If you smoke a pack of cigarettes a day, have very high blood pressure or cholesterol and are older, then you are high risk. That part hasn’t changed. These people will qualify for statin treatment many times over with both sets of guidelines,” he said. 

Rather it will be the large population at moderate risk of cardiovascular disease that will be affected, with far fewer of these individuals likely to get statins.

“If you are on the fence about whether to take a statin or not and you’re currently just on the threshold where they might be recommended then these new equations could mean that you’ll be less likely to be offered them,” he said. “Using the new equations may result in a delay of a couple of years to have that conversation.”

 

A Red Flag

Steve Nissen, MD, a cardiologist at the Cleveland Clinic in Ohio, is not a fan of cardiovascular risk equations in general. He points out that less than half of those currently eligible for statins are actually treated. And he believes the studies suggesting fewer people will be eligible with the new risk equations raise a red flag on whether they should be used.

“Anything that may result in fewer people being treated is a huge problem,” he told this news organization. “We have abundant evidence that we should be treating more people, not fewer people. Every study we have done has shown benefit with statins.”

The risk calculators were initially developed to limit use of statins and other medications to high-risk patients, he said, but now that we know more about safety of these drugs, it’s clear that the risks are almost nonexistent. 

“We really need something else to guide the prescription of statins,” said Nissen.

Nissen suggests the risk calculators and guidelines have resulted in undertreatment of the population because they lack nuance and put too much emphasis on age. We should be more interested in reducing the lifetime risk of cardiovascular events, he said. “Calculators don’t do a good job of that. Their time horizons are too short. Young people with a family history of cardiovascular disease may have a low 10-year risk on a risk calculator but their lifetime risk is elevated, and as such, they should be considered for statin treatment. We need to find a more nuanced approach to understanding the lifetime risk of individuals,” he said. 

Nissen said risk calculators can be useful in high-risk patients to help demonstrate their need for treatment. “I can show them the calculator and that they have a 20% chance of an event — that can help convince them to take a statin.” 

But at the lower end of the risk scale, “all it does is keep patients who should be getting treatment from having that treatment.”

Nissen said changing the risk calculator won’t affect how he treats patients. “I use judgment to decide who to treat based on scientific literature and the patient in front of me. We will engage in a discussion and make a shared decision on what is the best course of action. Calculators will never be a substitute for medical judgment,” he said.

 

Equations Don’t Decide

Sadiya Khan, MD, a cardiologist at Northwestern University, Evanston, Illinois, and lead author of the PREVENT equations, told this news organization that it is important to put this discussion into context.

“The two recent papers do a good job of describing differences in predictive risk between the two sets of equations but that’s where they stop,” she said. “The translation from that to the decision on who should or should not be on statins or other medications is a step too far.”

Clinical guidelines will need to be updated to take the PREVENT equations into account, as Khan argued in a JAMA editorial. So it is not clear whether the current 7.5% 10-year risk figure will remain the threshold to start treatment. Khan anticipates the guidelines committee will have to re-evaluate that threshold.

“The 7.5% risk threshold was advised in the 2013 guidelines, based on what we knew then about the balance between benefit and harm and with the knowledge that the risk equations overestimated risk,” she said. “We now have a lot more data on the safety of statin therapy. We see this frequently in preventive care. Treatments often becomes more widespread in time and use expands into lower-risk patients.”

She also pointed out that the current primary prevention guidelines encourage consideration of other factors, not just predictive risk scores, when thinking about starting statins, including very high LDL cholesterol, family history, and apo B and Lp(a) levels.

“The recommendation on who would qualify for statin therapy is not based on one number,” she said. “It is based on many considerations, including both qualitative and quantitative factors, and discussions between the patient and the doctor. It is not a straightforward yes or no based on a 7.5% risk threshold.”

The equations, she said, should only be viewed as the first step in the process, and she said she agrees with Nissen that when applying the equations, doctors need to use additional data from each individual patient to make a judgment. “Equations do not decide who gets treated. Clinical practice guidelines do that.” 

Khan also agreed with Nissen that more effort is needed to identify longer term cardiovascular risk in younger people, and so the PREVENT equations include 30-year risk estimates.

“I totally agree that we need to start earlier in having these prevention conversations. The PREVENT model starts at age 30 which is 10 years earlier than the pooled cohort equations and they add a 30-year time horizon as well as the 10-year period for these discussions on predicted risk estimates,” she said. “We need to make sure we are not missing risk in young adults just because we are waiting for them to get into some arbitrary age category.”

Khan says she believes that, used correctly, the new equations will not limit access to statins or other cardiovascular treatments. “Because they are a more accurate reflection of risk in the contemporary population, the new PREVENT equations should identify the correct patients to be treated, within the confines of knowing that no risk prediction equation is perfect,” she said. “And if everything else is considered as well, not just the numbers in the risk equations, it shouldn’t result in fewer patients being treated.”

Anderson reported receiving grants from the American Heart Association, the American College of Cardiology, and the US Deprescribing Research Network. Nissen is leading a development program for a nonprescription low dose of rosuvastatin. He is also involved in trials of a new cholesterol lowering drug, obicetrapib, and on trials on drugs that lower Lp(a). Khan reported receiving grants from the American Heart Association and National Heart, Lung, and Blood Institute.

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

An individual’s estimated risk of having a heart attack or stroke in the next 10 years is widely used to guide preventative medication prescriptions with statins or antihypertensive drugs in those who have not yet had such an event.

To estimate that risk, doctors use equations that include different risk factors, such as age, cholesterol levels, and blood pressure. The current equations, known as the pooled cohort equations, are considered to be outdated as they were developed in 2013 based on population data from the 1960s and 70s. A new set of risk equations — known as the PREVENT equations — were developed by the American Heart Association (AHA) in 2023, and are based on a more contemporary population. It is anticipated that AHA will recommend these new risk equations be used in clinical practice in the next primary prevention guidelines.

But could these new risk equations do more harm than good?

Two recent studies found that applying the PREVENT risk equations to the US population results in a much lower overall level of risk compared with the pooled cohort equations. And, if the current threshold for starting statin treatment — which is an estimated 7.5% risk of having a heart attack or stroke in the next 10 years — is kept the same, this would result in many fewer patients being eligible for statin treatment.

As cardiovascular risk is also used to guide antihypertensive treatment, the new risk equations would also result in fewer people with borderline high blood pressure being eligible for those medications.

This has raised concerns in the medical community, where there is a widespread view that many more people would benefit from primary prevention treatment, and that anything that may cause fewer people to receive these medications would be harmful. 

“I believe the new equations more accurately predict the risk of the current US population, but we need to be aware of what effect that may have on use of statins,” said Tim Anderson, MD, who studies healthcare delivery at the University of Pittsburgh in Pennsylvania and is lead author of one of the studies evaluating the equations.

Anderson told this news organization that the pooled cohort equations have long been viewed as problematic. 

“Because these equations were based on cohorts from the 1960s and 70s, it is believed they overestimate the current population’s risk of MI and stroke as the burden of disease has shifted in the intervening 50-60 years,” he said.

 

Current Equations Overestimate Risk

The new equations are based on more recent, representative, and diverse cohorts that capture a wider spectrum of the population in terms of race, ethnicity, and socioeconomic status. They also include factors that are now known to be relevant to cardiovascular risk, such as chronic kidney disease.

Anderson compared how the two sets of equations estimated risk of cardiovascular disease in the next 10 years in the US population using the NHANES survey — a large nationally representative survey conducted between 2017 and 2020. 

He found that the pooled cohort equations estimated the population average 10-year risk of cardiovascular disease to be about 8%, but the PREVENT equations estimated it at just over 4%.

“The new equations estimate that the middle-aged US population have almost half the level of risk of MI and stroke over next 10 years compared with the equations used currently. So, we will substantially change risk estimates if the new equations are introduced into practice,” Anderson said. 

The study found that, if the PREVENT equations are adopted in the next set of primary prevention guidelines and the current threshold of a 7.5% risk of having an MI or stroke in the next 10 years is maintained as the starting point for statin treatment, then 17.3 million adults who were previously recommended primary prevention statin therapy would no longer be eligible.

A second, similar study, conducted by a different team of US researchers, estimated that using PREVENT would decrease the number of US adults receiving or recommended for statin therapy by 14.3 million and antihypertensive therapy by 2.62 million.

The researchers, led by James A. Diao, MD, from Harvard Medical School, Boston, Massachusetts, also suggested that over 10 years, reductions in treatment eligibility could result in an estimated 107,000 additional MI or stroke events.

Anderson points out that using the new equations would not affect the highest-risk patients. “They are still going to be high risk whichever equations are used. If you smoke a pack of cigarettes a day, have very high blood pressure or cholesterol and are older, then you are high risk. That part hasn’t changed. These people will qualify for statin treatment many times over with both sets of guidelines,” he said. 

Rather it will be the large population at moderate risk of cardiovascular disease that will be affected, with far fewer of these individuals likely to get statins.

“If you are on the fence about whether to take a statin or not and you’re currently just on the threshold where they might be recommended then these new equations could mean that you’ll be less likely to be offered them,” he said. “Using the new equations may result in a delay of a couple of years to have that conversation.”

 

A Red Flag

Steve Nissen, MD, a cardiologist at the Cleveland Clinic in Ohio, is not a fan of cardiovascular risk equations in general. He points out that less than half of those currently eligible for statins are actually treated. And he believes the studies suggesting fewer people will be eligible with the new risk equations raise a red flag on whether they should be used.

“Anything that may result in fewer people being treated is a huge problem,” he told this news organization. “We have abundant evidence that we should be treating more people, not fewer people. Every study we have done has shown benefit with statins.”

The risk calculators were initially developed to limit use of statins and other medications to high-risk patients, he said, but now that we know more about safety of these drugs, it’s clear that the risks are almost nonexistent. 

“We really need something else to guide the prescription of statins,” said Nissen.

Nissen suggests the risk calculators and guidelines have resulted in undertreatment of the population because they lack nuance and put too much emphasis on age. We should be more interested in reducing the lifetime risk of cardiovascular events, he said. “Calculators don’t do a good job of that. Their time horizons are too short. Young people with a family history of cardiovascular disease may have a low 10-year risk on a risk calculator but their lifetime risk is elevated, and as such, they should be considered for statin treatment. We need to find a more nuanced approach to understanding the lifetime risk of individuals,” he said. 

Nissen said risk calculators can be useful in high-risk patients to help demonstrate their need for treatment. “I can show them the calculator and that they have a 20% chance of an event — that can help convince them to take a statin.” 

But at the lower end of the risk scale, “all it does is keep patients who should be getting treatment from having that treatment.”

Nissen said changing the risk calculator won’t affect how he treats patients. “I use judgment to decide who to treat based on scientific literature and the patient in front of me. We will engage in a discussion and make a shared decision on what is the best course of action. Calculators will never be a substitute for medical judgment,” he said.

 

Equations Don’t Decide

Sadiya Khan, MD, a cardiologist at Northwestern University, Evanston, Illinois, and lead author of the PREVENT equations, told this news organization that it is important to put this discussion into context.

“The two recent papers do a good job of describing differences in predictive risk between the two sets of equations but that’s where they stop,” she said. “The translation from that to the decision on who should or should not be on statins or other medications is a step too far.”

Clinical guidelines will need to be updated to take the PREVENT equations into account, as Khan argued in a JAMA editorial. So it is not clear whether the current 7.5% 10-year risk figure will remain the threshold to start treatment. Khan anticipates the guidelines committee will have to re-evaluate that threshold.

“The 7.5% risk threshold was advised in the 2013 guidelines, based on what we knew then about the balance between benefit and harm and with the knowledge that the risk equations overestimated risk,” she said. “We now have a lot more data on the safety of statin therapy. We see this frequently in preventive care. Treatments often becomes more widespread in time and use expands into lower-risk patients.”

She also pointed out that the current primary prevention guidelines encourage consideration of other factors, not just predictive risk scores, when thinking about starting statins, including very high LDL cholesterol, family history, and apo B and Lp(a) levels.

“The recommendation on who would qualify for statin therapy is not based on one number,” she said. “It is based on many considerations, including both qualitative and quantitative factors, and discussions between the patient and the doctor. It is not a straightforward yes or no based on a 7.5% risk threshold.”

The equations, she said, should only be viewed as the first step in the process, and she said she agrees with Nissen that when applying the equations, doctors need to use additional data from each individual patient to make a judgment. “Equations do not decide who gets treated. Clinical practice guidelines do that.” 

Khan also agreed with Nissen that more effort is needed to identify longer term cardiovascular risk in younger people, and so the PREVENT equations include 30-year risk estimates.

“I totally agree that we need to start earlier in having these prevention conversations. The PREVENT model starts at age 30 which is 10 years earlier than the pooled cohort equations and they add a 30-year time horizon as well as the 10-year period for these discussions on predicted risk estimates,” she said. “We need to make sure we are not missing risk in young adults just because we are waiting for them to get into some arbitrary age category.”

Khan says she believes that, used correctly, the new equations will not limit access to statins or other cardiovascular treatments. “Because they are a more accurate reflection of risk in the contemporary population, the new PREVENT equations should identify the correct patients to be treated, within the confines of knowing that no risk prediction equation is perfect,” she said. “And if everything else is considered as well, not just the numbers in the risk equations, it shouldn’t result in fewer patients being treated.”

Anderson reported receiving grants from the American Heart Association, the American College of Cardiology, and the US Deprescribing Research Network. Nissen is leading a development program for a nonprescription low dose of rosuvastatin. He is also involved in trials of a new cholesterol lowering drug, obicetrapib, and on trials on drugs that lower Lp(a). Khan reported receiving grants from the American Heart Association and National Heart, Lung, and Blood Institute.

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

An individual’s estimated risk of having a heart attack or stroke in the next 10 years is widely used to guide preventative medication prescriptions with statins or antihypertensive drugs in those who have not yet had such an event.

To estimate that risk, doctors use equations that include different risk factors, such as age, cholesterol levels, and blood pressure. The current equations, known as the pooled cohort equations, are considered to be outdated as they were developed in 2013 based on population data from the 1960s and 70s. A new set of risk equations — known as the PREVENT equations — were developed by the American Heart Association (AHA) in 2023, and are based on a more contemporary population. It is anticipated that AHA will recommend these new risk equations be used in clinical practice in the next primary prevention guidelines.

But could these new risk equations do more harm than good?

Two recent studies found that applying the PREVENT risk equations to the US population results in a much lower overall level of risk compared with the pooled cohort equations. And, if the current threshold for starting statin treatment — which is an estimated 7.5% risk of having a heart attack or stroke in the next 10 years — is kept the same, this would result in many fewer patients being eligible for statin treatment.

As cardiovascular risk is also used to guide antihypertensive treatment, the new risk equations would also result in fewer people with borderline high blood pressure being eligible for those medications.

This has raised concerns in the medical community, where there is a widespread view that many more people would benefit from primary prevention treatment, and that anything that may cause fewer people to receive these medications would be harmful. 

“I believe the new equations more accurately predict the risk of the current US population, but we need to be aware of what effect that may have on use of statins,” said Tim Anderson, MD, who studies healthcare delivery at the University of Pittsburgh in Pennsylvania and is lead author of one of the studies evaluating the equations.

Anderson told this news organization that the pooled cohort equations have long been viewed as problematic. 

“Because these equations were based on cohorts from the 1960s and 70s, it is believed they overestimate the current population’s risk of MI and stroke as the burden of disease has shifted in the intervening 50-60 years,” he said.

 

Current Equations Overestimate Risk

The new equations are based on more recent, representative, and diverse cohorts that capture a wider spectrum of the population in terms of race, ethnicity, and socioeconomic status. They also include factors that are now known to be relevant to cardiovascular risk, such as chronic kidney disease.

Anderson compared how the two sets of equations estimated risk of cardiovascular disease in the next 10 years in the US population using the NHANES survey — a large nationally representative survey conducted between 2017 and 2020. 

He found that the pooled cohort equations estimated the population average 10-year risk of cardiovascular disease to be about 8%, but the PREVENT equations estimated it at just over 4%.

“The new equations estimate that the middle-aged US population have almost half the level of risk of MI and stroke over next 10 years compared with the equations used currently. So, we will substantially change risk estimates if the new equations are introduced into practice,” Anderson said. 

The study found that, if the PREVENT equations are adopted in the next set of primary prevention guidelines and the current threshold of a 7.5% risk of having an MI or stroke in the next 10 years is maintained as the starting point for statin treatment, then 17.3 million adults who were previously recommended primary prevention statin therapy would no longer be eligible.

A second, similar study, conducted by a different team of US researchers, estimated that using PREVENT would decrease the number of US adults receiving or recommended for statin therapy by 14.3 million and antihypertensive therapy by 2.62 million.

The researchers, led by James A. Diao, MD, from Harvard Medical School, Boston, Massachusetts, also suggested that over 10 years, reductions in treatment eligibility could result in an estimated 107,000 additional MI or stroke events.

Anderson points out that using the new equations would not affect the highest-risk patients. “They are still going to be high risk whichever equations are used. If you smoke a pack of cigarettes a day, have very high blood pressure or cholesterol and are older, then you are high risk. That part hasn’t changed. These people will qualify for statin treatment many times over with both sets of guidelines,” he said. 

Rather it will be the large population at moderate risk of cardiovascular disease that will be affected, with far fewer of these individuals likely to get statins.

“If you are on the fence about whether to take a statin or not and you’re currently just on the threshold where they might be recommended then these new equations could mean that you’ll be less likely to be offered them,” he said. “Using the new equations may result in a delay of a couple of years to have that conversation.”

 

A Red Flag

Steve Nissen, MD, a cardiologist at the Cleveland Clinic in Ohio, is not a fan of cardiovascular risk equations in general. He points out that less than half of those currently eligible for statins are actually treated. And he believes the studies suggesting fewer people will be eligible with the new risk equations raise a red flag on whether they should be used.

“Anything that may result in fewer people being treated is a huge problem,” he told this news organization. “We have abundant evidence that we should be treating more people, not fewer people. Every study we have done has shown benefit with statins.”

The risk calculators were initially developed to limit use of statins and other medications to high-risk patients, he said, but now that we know more about safety of these drugs, it’s clear that the risks are almost nonexistent. 

“We really need something else to guide the prescription of statins,” said Nissen.

Nissen suggests the risk calculators and guidelines have resulted in undertreatment of the population because they lack nuance and put too much emphasis on age. We should be more interested in reducing the lifetime risk of cardiovascular events, he said. “Calculators don’t do a good job of that. Their time horizons are too short. Young people with a family history of cardiovascular disease may have a low 10-year risk on a risk calculator but their lifetime risk is elevated, and as such, they should be considered for statin treatment. We need to find a more nuanced approach to understanding the lifetime risk of individuals,” he said. 

Nissen said risk calculators can be useful in high-risk patients to help demonstrate their need for treatment. “I can show them the calculator and that they have a 20% chance of an event — that can help convince them to take a statin.” 

But at the lower end of the risk scale, “all it does is keep patients who should be getting treatment from having that treatment.”

Nissen said changing the risk calculator won’t affect how he treats patients. “I use judgment to decide who to treat based on scientific literature and the patient in front of me. We will engage in a discussion and make a shared decision on what is the best course of action. Calculators will never be a substitute for medical judgment,” he said.

 

Equations Don’t Decide

Sadiya Khan, MD, a cardiologist at Northwestern University, Evanston, Illinois, and lead author of the PREVENT equations, told this news organization that it is important to put this discussion into context.

“The two recent papers do a good job of describing differences in predictive risk between the two sets of equations but that’s where they stop,” she said. “The translation from that to the decision on who should or should not be on statins or other medications is a step too far.”

Clinical guidelines will need to be updated to take the PREVENT equations into account, as Khan argued in a JAMA editorial. So it is not clear whether the current 7.5% 10-year risk figure will remain the threshold to start treatment. Khan anticipates the guidelines committee will have to re-evaluate that threshold.

“The 7.5% risk threshold was advised in the 2013 guidelines, based on what we knew then about the balance between benefit and harm and with the knowledge that the risk equations overestimated risk,” she said. “We now have a lot more data on the safety of statin therapy. We see this frequently in preventive care. Treatments often becomes more widespread in time and use expands into lower-risk patients.”

She also pointed out that the current primary prevention guidelines encourage consideration of other factors, not just predictive risk scores, when thinking about starting statins, including very high LDL cholesterol, family history, and apo B and Lp(a) levels.

“The recommendation on who would qualify for statin therapy is not based on one number,” she said. “It is based on many considerations, including both qualitative and quantitative factors, and discussions between the patient and the doctor. It is not a straightforward yes or no based on a 7.5% risk threshold.”

The equations, she said, should only be viewed as the first step in the process, and she said she agrees with Nissen that when applying the equations, doctors need to use additional data from each individual patient to make a judgment. “Equations do not decide who gets treated. Clinical practice guidelines do that.” 

Khan also agreed with Nissen that more effort is needed to identify longer term cardiovascular risk in younger people, and so the PREVENT equations include 30-year risk estimates.

“I totally agree that we need to start earlier in having these prevention conversations. The PREVENT model starts at age 30 which is 10 years earlier than the pooled cohort equations and they add a 30-year time horizon as well as the 10-year period for these discussions on predicted risk estimates,” she said. “We need to make sure we are not missing risk in young adults just because we are waiting for them to get into some arbitrary age category.”

Khan says she believes that, used correctly, the new equations will not limit access to statins or other cardiovascular treatments. “Because they are a more accurate reflection of risk in the contemporary population, the new PREVENT equations should identify the correct patients to be treated, within the confines of knowing that no risk prediction equation is perfect,” she said. “And if everything else is considered as well, not just the numbers in the risk equations, it shouldn’t result in fewer patients being treated.”

Anderson reported receiving grants from the American Heart Association, the American College of Cardiology, and the US Deprescribing Research Network. Nissen is leading a development program for a nonprescription low dose of rosuvastatin. He is also involved in trials of a new cholesterol lowering drug, obicetrapib, and on trials on drugs that lower Lp(a). Khan reported receiving grants from the American Heart Association and National Heart, Lung, and Blood Institute.

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

Adults with high cholesterol taking statins may have a significantly higher risk of developing glaucoma than those not taking the cholesterol-lowering drugs, an observational study of a large research database found.

The study, published in Ophthalmology Glaucoma, analyzed electronic health records of 79,742 adults with hyperlipidemia in the All of Us Research Program database from 2017 to 2022. The repository is maintained by the National Institutes of Health and provides data for research into precision medicine.

The 6365 statin users in the study population had a 47% greater unadjusted prevalence of glaucoma than nonusers of the drugs (P < .001) and a 13% greater prevalence in models that adjusted for potential confounding variables (P = .02). The researchers also found statin users had significantly higher levels of low-density lipoprotein cholesterol (LDL-C), but even patients with optimal levels of LDL-C had higher rates of glaucoma.

 

‘A Little Unusual’

Drawing any clinically relevant conclusions from this latest study would be premature, said Victoria Tseng, MD, PhD, an assistant professor at UCLA Stein Eye Institute and Doheny Eye Centers UCLA, and the senior author of the study. “I certainly would not be telling my patients on statins to stop their statins.”

Tseng acknowledged her group’s finding runs counter to previous studies that found statins may help prevent glaucoma or at least have no effect on the eye disease, although the association between cholesterol and glaucoma has been well established.

A 2019 analysis of nearly 137,000 participants in three population studies found no connection between statin use and the risk for primary open-angle glaucoma. A 2012 study of more than 500,000 people with high cholesterol found statin use was associated with a significant reduction in the risk for open-angle glaucoma.

“It’s a little unusual that we found the opposite,” Tseng said in an interview.

One explanation is the observational nature of the AoU analysis Tseng’s group conducted. “We don’t know what these people look like or how well the data were collected, so we’re going off of what’s there in the database,” she said.

Another explanation could be the nature of hyperlipidemia itself, she said. “There have definitely been studies that suggest increased cholesterol levels are associated with an increased risk of glaucoma. Presumably, you’re not going to be taking a statin unless your cholesterol is a little worse.”

While the study analysis attempted to control for cholesterol levels, Tseng noted, “there could be some residual confounding from that.”

Statin users in the study had an average LDL-C level of 144.9 mg/dL vs 136.3 mg/dL in the population not taking any cholesterol medication (P < .001). Statin users with optimal LDL-C, defined as less than 100 mg/dL, had a 39% greater adjusted prevalence of glaucoma (P = .02), while those with high LDL-C (160-189 mg/dL) had a 37% greater adjusted prevalence (P = .005).

Age was another factor in the risk for glaucoma, the study found. Statin users aged 60-69 years had an adjusted rate of glaucoma 28% greater than that for nonusers (P = .05).

Laboratory studies may help clarify the relationships between statins and glaucoma, Tseng said. That could include putting statins directly on the optic nerve of laboratory mice and further investigating how statins affect the mechanisms that influence eye pressure, a key driver of glaucoma. From a population study perspective, a randomized trial of glaucoma patients comparing the effect of statins and other cholesterol-lowering medications with nonuse may provide answers.

 

Database Strengths and Limitations

The study “adds to the somewhat mixed literature on the potential association between statins and glaucoma,” Sophia Wang, MD, MS, a glaucoma specialist at Stanford Byers Eye Institute in Palo Alto, California, said in an interview.

The AoU research cohort is a “notable strength” of the new paper, added Wang, who has used the AoU database to study the relationship between blood pressure, blood pressure medications, and glaucoma.

“The population is especially large and diverse, with a large proportion of participants from backgrounds that are traditionally underrepresented in research,” she said. And The inclusion of both medical records and survey data means the health information on the cohort is detailed and longitudinal.

“The authors make excellent use here of the data by including in their analyses results of laboratory investigations — LDL-C, notably — which wouldn’t be readily available in other types of datasets such as claims datasets,” she said.

However, the database has limitations as well, including its reliance on coding, which is prone to errors, to determine glaucoma diagnosis and missing information on eye examinations. In addition, the study used one LDL-C measurement rather than multiple measurements, Wang pointed out, “and we know that LDL-C can vary over time.”

The study was funded by Research to Prevent Blindness. Tseng and Wang reported no relevant financial relationships to disclose.

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

Adults with high cholesterol taking statins may have a significantly higher risk of developing glaucoma than those not taking the cholesterol-lowering drugs, an observational study of a large research database found.

The study, published in Ophthalmology Glaucoma, analyzed electronic health records of 79,742 adults with hyperlipidemia in the All of Us Research Program database from 2017 to 2022. The repository is maintained by the National Institutes of Health and provides data for research into precision medicine.

The 6365 statin users in the study population had a 47% greater unadjusted prevalence of glaucoma than nonusers of the drugs (P < .001) and a 13% greater prevalence in models that adjusted for potential confounding variables (P = .02). The researchers also found statin users had significantly higher levels of low-density lipoprotein cholesterol (LDL-C), but even patients with optimal levels of LDL-C had higher rates of glaucoma.

 

‘A Little Unusual’

Drawing any clinically relevant conclusions from this latest study would be premature, said Victoria Tseng, MD, PhD, an assistant professor at UCLA Stein Eye Institute and Doheny Eye Centers UCLA, and the senior author of the study. “I certainly would not be telling my patients on statins to stop their statins.”

Tseng acknowledged her group’s finding runs counter to previous studies that found statins may help prevent glaucoma or at least have no effect on the eye disease, although the association between cholesterol and glaucoma has been well established.

A 2019 analysis of nearly 137,000 participants in three population studies found no connection between statin use and the risk for primary open-angle glaucoma. A 2012 study of more than 500,000 people with high cholesterol found statin use was associated with a significant reduction in the risk for open-angle glaucoma.

“It’s a little unusual that we found the opposite,” Tseng said in an interview.

One explanation is the observational nature of the AoU analysis Tseng’s group conducted. “We don’t know what these people look like or how well the data were collected, so we’re going off of what’s there in the database,” she said.

Another explanation could be the nature of hyperlipidemia itself, she said. “There have definitely been studies that suggest increased cholesterol levels are associated with an increased risk of glaucoma. Presumably, you’re not going to be taking a statin unless your cholesterol is a little worse.”

While the study analysis attempted to control for cholesterol levels, Tseng noted, “there could be some residual confounding from that.”

Statin users in the study had an average LDL-C level of 144.9 mg/dL vs 136.3 mg/dL in the population not taking any cholesterol medication (P < .001). Statin users with optimal LDL-C, defined as less than 100 mg/dL, had a 39% greater adjusted prevalence of glaucoma (P = .02), while those with high LDL-C (160-189 mg/dL) had a 37% greater adjusted prevalence (P = .005).

Age was another factor in the risk for glaucoma, the study found. Statin users aged 60-69 years had an adjusted rate of glaucoma 28% greater than that for nonusers (P = .05).

Laboratory studies may help clarify the relationships between statins and glaucoma, Tseng said. That could include putting statins directly on the optic nerve of laboratory mice and further investigating how statins affect the mechanisms that influence eye pressure, a key driver of glaucoma. From a population study perspective, a randomized trial of glaucoma patients comparing the effect of statins and other cholesterol-lowering medications with nonuse may provide answers.

 

Database Strengths and Limitations

The study “adds to the somewhat mixed literature on the potential association between statins and glaucoma,” Sophia Wang, MD, MS, a glaucoma specialist at Stanford Byers Eye Institute in Palo Alto, California, said in an interview.

The AoU research cohort is a “notable strength” of the new paper, added Wang, who has used the AoU database to study the relationship between blood pressure, blood pressure medications, and glaucoma.

“The population is especially large and diverse, with a large proportion of participants from backgrounds that are traditionally underrepresented in research,” she said. And The inclusion of both medical records and survey data means the health information on the cohort is detailed and longitudinal.

“The authors make excellent use here of the data by including in their analyses results of laboratory investigations — LDL-C, notably — which wouldn’t be readily available in other types of datasets such as claims datasets,” she said.

However, the database has limitations as well, including its reliance on coding, which is prone to errors, to determine glaucoma diagnosis and missing information on eye examinations. In addition, the study used one LDL-C measurement rather than multiple measurements, Wang pointed out, “and we know that LDL-C can vary over time.”

The study was funded by Research to Prevent Blindness. Tseng and Wang reported no relevant financial relationships to disclose.

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

Adults with high cholesterol taking statins may have a significantly higher risk of developing glaucoma than those not taking the cholesterol-lowering drugs, an observational study of a large research database found.

The study, published in Ophthalmology Glaucoma, analyzed electronic health records of 79,742 adults with hyperlipidemia in the All of Us Research Program database from 2017 to 2022. The repository is maintained by the National Institutes of Health and provides data for research into precision medicine.

The 6365 statin users in the study population had a 47% greater unadjusted prevalence of glaucoma than nonusers of the drugs (P < .001) and a 13% greater prevalence in models that adjusted for potential confounding variables (P = .02). The researchers also found statin users had significantly higher levels of low-density lipoprotein cholesterol (LDL-C), but even patients with optimal levels of LDL-C had higher rates of glaucoma.

 

‘A Little Unusual’

Drawing any clinically relevant conclusions from this latest study would be premature, said Victoria Tseng, MD, PhD, an assistant professor at UCLA Stein Eye Institute and Doheny Eye Centers UCLA, and the senior author of the study. “I certainly would not be telling my patients on statins to stop their statins.”

Tseng acknowledged her group’s finding runs counter to previous studies that found statins may help prevent glaucoma or at least have no effect on the eye disease, although the association between cholesterol and glaucoma has been well established.

A 2019 analysis of nearly 137,000 participants in three population studies found no connection between statin use and the risk for primary open-angle glaucoma. A 2012 study of more than 500,000 people with high cholesterol found statin use was associated with a significant reduction in the risk for open-angle glaucoma.

“It’s a little unusual that we found the opposite,” Tseng said in an interview.

One explanation is the observational nature of the AoU analysis Tseng’s group conducted. “We don’t know what these people look like or how well the data were collected, so we’re going off of what’s there in the database,” she said.

Another explanation could be the nature of hyperlipidemia itself, she said. “There have definitely been studies that suggest increased cholesterol levels are associated with an increased risk of glaucoma. Presumably, you’re not going to be taking a statin unless your cholesterol is a little worse.”

While the study analysis attempted to control for cholesterol levels, Tseng noted, “there could be some residual confounding from that.”

Statin users in the study had an average LDL-C level of 144.9 mg/dL vs 136.3 mg/dL in the population not taking any cholesterol medication (P < .001). Statin users with optimal LDL-C, defined as less than 100 mg/dL, had a 39% greater adjusted prevalence of glaucoma (P = .02), while those with high LDL-C (160-189 mg/dL) had a 37% greater adjusted prevalence (P = .005).

Age was another factor in the risk for glaucoma, the study found. Statin users aged 60-69 years had an adjusted rate of glaucoma 28% greater than that for nonusers (P = .05).

Laboratory studies may help clarify the relationships between statins and glaucoma, Tseng said. That could include putting statins directly on the optic nerve of laboratory mice and further investigating how statins affect the mechanisms that influence eye pressure, a key driver of glaucoma. From a population study perspective, a randomized trial of glaucoma patients comparing the effect of statins and other cholesterol-lowering medications with nonuse may provide answers.

 

Database Strengths and Limitations

The study “adds to the somewhat mixed literature on the potential association between statins and glaucoma,” Sophia Wang, MD, MS, a glaucoma specialist at Stanford Byers Eye Institute in Palo Alto, California, said in an interview.

The AoU research cohort is a “notable strength” of the new paper, added Wang, who has used the AoU database to study the relationship between blood pressure, blood pressure medications, and glaucoma.

“The population is especially large and diverse, with a large proportion of participants from backgrounds that are traditionally underrepresented in research,” she said. And The inclusion of both medical records and survey data means the health information on the cohort is detailed and longitudinal.

“The authors make excellent use here of the data by including in their analyses results of laboratory investigations — LDL-C, notably — which wouldn’t be readily available in other types of datasets such as claims datasets,” she said.

However, the database has limitations as well, including its reliance on coding, which is prone to errors, to determine glaucoma diagnosis and missing information on eye examinations. In addition, the study used one LDL-C measurement rather than multiple measurements, Wang pointed out, “and we know that LDL-C can vary over time.”

The study was funded by Research to Prevent Blindness. Tseng and Wang reported no relevant financial relationships to disclose.

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

This transcript has been edited for clarity. 

Michelle L. O’Donoghue, MD, MPH: I’m here at the American Heart Association Scientific Sessions. It’s a very exciting meeting, but one of the interesting topics that we’re going to be talking about is lipoprotein(a) [Lp(a)] . It’s definitely one of the hottest sessions of the meeting.

Joining me to discuss this topic is Dr Steve Nicholls, who is arguably one of the leading experts in the world on lipids. He’s a professor of medicine at Monash University in Australia. Welcome. Thanks, Steve. 

Stephen J. Nicholls, MBBS, PhD: Thanks for having me. 

O’Donoghue: There are two phase 2 studies that we’ll circle back to that are being presented here at the American Heart Association meeting. These are for novel therapeutics that lower Lp(a). Perhaps taking a step back, we know that there’s a large body of evidence to support the concept that Lp(a) plays a causal role in heart disease and atherogenesis, but to date we haven’t had any effective therapies to really lower it.

Thinking about the therapeutics specifically that are on the horizon, perhaps we could start there. Which one is furthest along in development, and how does that look in terms of its ability to lower Lp(a)?

 

Pelacarsen, an ASO

Nicholls: Most of the therapies are injectable. Most of them are nucleic acid–based therapies, and the one that’s most advanced is an agent called pelacarsen. Pelacarsen is an antisense oligonucleotide (ASO), and it has gone all the way through its early phase 2 studies. It has a fully enrolled cardiovascular outcome trial.

We’re all eagerly awaiting the results of that study sometime in the next year or so. That will be the first large-scale clinical trial that will give us some clinical validation to ask the question of whether substantive lowering of Lp(a) will lower cardiovascular risk, with an agent that in early studies looks like it lowers Lp(a) about 80%.

O’Donoghue: Which is tremendous, because again, we really don’t have any effective therapies right now. I guess one of the big questions is, how much do we need to lower Lp(a) for that to translate into meaningful clinical benefit? What’s your sense there? 

Nicholls: Well, we simply don’t know. We’ve tried to look to genetics to try and give us some sort of sense in terms of what that looks like. Lp(a) is a little tricky because the assays and the numbers that get spit out can be tricky in terms of trying to compare apples and apples in different studies. 

We think that it’s probably at least a 50- to 75-mg/dL lowering of Lp(a) using the old units. We think that pelacarsen would hit that, and so our hope is that that would translate to a 15%-20% reduction in major cardiovascular events, but again, we’ve never asked this question before. 

We have data from PCSK9 inhibitor trials showing that lesser reductions in Lp(a) of 25%-30% with both evolocumab and alirocumab contributed to the clinical benefit that we saw in those studies. Those agents were really good at lowering low-density lipoprotein (LDL) cholesterol, but Lp(a) lowering seemed to matter. One would be very hopeful that if a 25%-30% lowering of Lp(a) is useful, then an 80% or greater lowering of Lp(a) should be really useful. 

 

The siRNAs

O’Donoghue: In addition to the ASO pelacarsen that you mentioned, there are several therapeutics in the pipeline, including three small interfering (si) RNAs that are at least in phase 2 and phase 3 testing at this point in time. There’s olpasiran, which in phase 2 testing led to more than a 95% reduction in Lp(a), and then lepodisiran , which has now moved into phase 3  testing, albeit we haven’t seen yet the phase 2  results. 

What is your sense of lepodisiran and its efficacy? 

Nicholls: What’s been really quite striking about the siRNAs is the even more profound degree of lowering of Lp(a) that we’re seeing. We’re seeing 90% and greater lowering of Lp(a) in all of those programs. We’re seeing some differences between the programs in terms of the durability of that effect. 

I think it would be fair to say that with zerlasiran we’re starting to see perhaps that lowering effect starts to taper off a little bit more quickly than the other two. I think that may have some implications in terms of what dosing regimens may look like in the future. 

Even so, we’re talking about therapies that may be dosed 3- to 6-monthly, or even with the potential for being less frequent than that with lepodisiran. Again, I think the phase 2 data will be really important in terms of giving us more information.

O’Donoghue: For the lepodisiran results, I was really quite struck that even though it was small numbers, single dose administered, it really looked like the duration of effect persisted at the higher doses up to about a year. 

Nicholls: It looks pretty promising. We’ve launched the ACCLAIM study, the large cardiovascular outcome trial of lepodisiran, with a 6-monthly regimen. We are hopeful that more information may be able to give us the opportunity for even less frequent administration. 

That has really important implications for patients where adherence is a particular issue. They may just simply want to come into the clinic. You know, once or twice a year, very much like we’re seeing with inclisiran, and that may be a really effective approach for many patients. 

O’Donoghue: You alluded to the zerlasiran results, which were presented here at the American Heart Association meeting, and that even though it led to a robust reduction in Lp(a), it looked like the durability component was maybe a little bit shorter than for some of the other siRNAs that are currently being evaluated.

What’s your sense of that? 

Nicholls: It probably is. The implications clinically, at least in an outcome trial when they ultimately get to that point, probably aren’t that important. They’ll probably just have slightly more frequent administration. That may become a bigger issue when it gets out into the clinic.

The nice thing is that if all of these agents appear to be effective, are well tolerated, and get out to the clinic, then clinicians and patients are going to have a lot of choice. 

O’Donoghue: I think more competition is always good news for the field, ultimately. I think to your point, especially for a drug that might be self-administered, ultimately, whether it’s once a month or once every 3 months, it doesn’t probably make much difference. I think different choices are needed for different patients. 

Perhaps that’s a perfect segue to talk about the oral Lp(a) inhibitor that is also being developed. You presented these results for muvalaplin. 

 

Muvalaplin, an Oral Small Molecule

Nicholls: In terms of frequency of administration, we’re talking about a daily oral therapeutic. For patients who don’t want an injectable and are happy to take a tablet every day, muvalaplin has the potential to be a really good option for them. 

Muvalaplin is an oral small-molecule inhibitor. It essentially prevents apolipoprotein(a) [apo(a)] from binding to apolipoprotein B (apo B). We presented phase 1 data  at the European Society of Cardiology meeting last year, showing probably Lp(a) lowering on the order of about 65%. Here, we’re going to show that that’s a little bit more. It looks like it’s probably at least 70% lowering using a standard Lp(a) assay. Using an assay that looks specifically at intact Lp(a) particles, it’s probably well in excess of 80%.

Those are really good results. The safety and tolerability with muvalaplin look really good. Again, we’ll need to see that agent move forward into a large outcome trial and we’ve yet to hear about that, at least for now. 

O’Donoghue: It’s an interesting challenge that you faced in terms of the assay because, as you say, it really disrupts the apo(a) from binding to the apo B particle, and hence, a traditional assay that just measures apo(a), regardless of whether or not it’s bound to an apo B particle, may be a conservative estimate.

Nicholls: It may, in particular, because we know that apo(a) ultimately then binds to the drug. That assay is measuring what we think is nonfunctional apo(a) in addition to functional apo(a). It’s measuring functional apo(a) that’s still on an actual Lp(a) particle, but if it’s bound to muvalaplin, we think to some degree that’s probably unfair to count that. That’s why trying to develop other assays to try and understand the full effect of the drug is really important in terms of trying to understand how we develop that and move that forward.

O’Donoghue: Is there any evidence yet that the apo(a) particle that is not bound to apo B is in fact nonfunctional as you described it? 

Nicholls: We think that’s likely to be the case, but I think there continues to be research in that space to try and settle that question once and for all. 

O’Donoghue: Again, I think it’s a really exciting time in this field. Right now, we have three ongoing phase 3 trials. We have the pelacarsen trial that is still in follow-up, and fingers crossed, maybe will report out next year. Olpasiran is also in phase 3 testing, completed enrollment, and also is in the follow-up period. We also have lepodisiran, the ACCLAIM trial, as you mentioned. For people who are perhaps watching and looking to enroll their patients, this trial is still ongoing right now in terms of enrollment. 

Nicholls: It is, and what’s nice about the ACCLAIM study is that it includes both primary and secondary prevention patients. For the first time in a big outcome trial, patients with high Lp(a) levels but who have yet to have a clinical event can actually get into a clinical trial.

I’m sure, like you, my clinic is full of patients with high Lp(a) who are really desperate to get into these trials. Many of those primary prevention patients just simply haven’t qualified, so that’s really good news. 

The step beyond that, if we’re talking about even less frequent administration, is gene editing. We’re seeing those studies with CRISPR move forward to try to evaluate whether a single gene-editing approach at Lp(a) will be all that you need, which is even a more amazing concept, but that’s a study that needs more work. 

O’Donoghue: An exciting space though, for sure. As a final thought, you mentioned the patients in your clinic who you have identified as having high Lp(a). What are you doing right now in your practice for managing those patients? I think there are many practitioners out there who struggle with whether they should really measure their patients’ Lp(a), and whether they want to know that information.

Nicholls: Yeah, it’s really hard. The answer is yes, we do want to know it. We know it’s a great risk enhancer. We know that a patient with a high Lp(a) is somebody whom I want to more intensively treat their other risk factors. I’m aiming for a lower LDL. I’m being much tighter with blood pressure control.

I think there’s some argument from observational data at least that aspirin remains a consideration, particularly in patients where you think there’s a particularly high risk associated with that high Lp(a). I think there are things we absolutely can do today, but we can’t do anything if you don’t know the numbers.

It starts with testing, and then we can move on to what we can do today, and then hopefully in the not-too-distant future, we’ll have specific therapies that really enable for us to address Lp(a) quite definitively. 

O’Donoghue: Thanks again for taking the time. This was a very helpful discussion.

 

Michelle O’Donoghue is a cardiologist at Brigham and Women’s Hospital and senior investigator with the TIMI Study Group. A strong believer in evidence-based medicine, she relishes discussions about the published literature. A native Canadian, Michelle loves spending time outdoors with her family but admits with shame that she’s never strapped on hockey skates. Dr O’Donoghue, Senior Investigator, TIMI Study Group; Associate Professor of Medicine, Harvard Medical School; Associate Physician, Brigham and Women’s Hospital, Boston, Massachusetts, disclosed ties to Janssen; Novartis; CVS Minute Clinic; Merck & Co.; GlaxoSmithKline; Eisai Inc.; AstraZeneca Pharmaceuticals LP; Janssen Pharmaceuticals; Medicines Company; and Amgen. The opinions expressed in this article do not necessarily reflect the views and opinions of Brigham and Women’s Hospital. Stephen J. Nicholls, MBBS, PhD, Director, Victorian Heart Institute, Monash University; Director, Victorian Heart Hospital, Monash Health, Melbourne, Australia, has disclosed ties with Akcea Therapeutics; Amgen; AstraZeneca; Boehringer Ingelheim; CSL Behring; Eli Lilly and Company; Esperion Therapeutics; Kowa Pharmaceuticals; Merck; Novo Nordisk; Pfizer; Sanofi Regeneron; Daichii Sankyo; Vaxxinity; Cyclarity; CSL Sequirus; Takeda; Anthera Pharmaceuticals; Cerenis Therapeutics; Infraredx; New Amsterdam Pharma; Novartis; and Resverlogix.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity. 

Michelle L. O’Donoghue, MD, MPH: I’m here at the American Heart Association Scientific Sessions. It’s a very exciting meeting, but one of the interesting topics that we’re going to be talking about is lipoprotein(a) [Lp(a)] . It’s definitely one of the hottest sessions of the meeting.

Joining me to discuss this topic is Dr Steve Nicholls, who is arguably one of the leading experts in the world on lipids. He’s a professor of medicine at Monash University in Australia. Welcome. Thanks, Steve. 

Stephen J. Nicholls, MBBS, PhD: Thanks for having me. 

O’Donoghue: There are two phase 2 studies that we’ll circle back to that are being presented here at the American Heart Association meeting. These are for novel therapeutics that lower Lp(a). Perhaps taking a step back, we know that there’s a large body of evidence to support the concept that Lp(a) plays a causal role in heart disease and atherogenesis, but to date we haven’t had any effective therapies to really lower it.

Thinking about the therapeutics specifically that are on the horizon, perhaps we could start there. Which one is furthest along in development, and how does that look in terms of its ability to lower Lp(a)?

 

Pelacarsen, an ASO

Nicholls: Most of the therapies are injectable. Most of them are nucleic acid–based therapies, and the one that’s most advanced is an agent called pelacarsen. Pelacarsen is an antisense oligonucleotide (ASO), and it has gone all the way through its early phase 2 studies. It has a fully enrolled cardiovascular outcome trial.

We’re all eagerly awaiting the results of that study sometime in the next year or so. That will be the first large-scale clinical trial that will give us some clinical validation to ask the question of whether substantive lowering of Lp(a) will lower cardiovascular risk, with an agent that in early studies looks like it lowers Lp(a) about 80%.

O’Donoghue: Which is tremendous, because again, we really don’t have any effective therapies right now. I guess one of the big questions is, how much do we need to lower Lp(a) for that to translate into meaningful clinical benefit? What’s your sense there? 

Nicholls: Well, we simply don’t know. We’ve tried to look to genetics to try and give us some sort of sense in terms of what that looks like. Lp(a) is a little tricky because the assays and the numbers that get spit out can be tricky in terms of trying to compare apples and apples in different studies. 

We think that it’s probably at least a 50- to 75-mg/dL lowering of Lp(a) using the old units. We think that pelacarsen would hit that, and so our hope is that that would translate to a 15%-20% reduction in major cardiovascular events, but again, we’ve never asked this question before. 

We have data from PCSK9 inhibitor trials showing that lesser reductions in Lp(a) of 25%-30% with both evolocumab and alirocumab contributed to the clinical benefit that we saw in those studies. Those agents were really good at lowering low-density lipoprotein (LDL) cholesterol, but Lp(a) lowering seemed to matter. One would be very hopeful that if a 25%-30% lowering of Lp(a) is useful, then an 80% or greater lowering of Lp(a) should be really useful. 

 

The siRNAs

O’Donoghue: In addition to the ASO pelacarsen that you mentioned, there are several therapeutics in the pipeline, including three small interfering (si) RNAs that are at least in phase 2 and phase 3 testing at this point in time. There’s olpasiran, which in phase 2 testing led to more than a 95% reduction in Lp(a), and then lepodisiran , which has now moved into phase 3  testing, albeit we haven’t seen yet the phase 2  results. 

What is your sense of lepodisiran and its efficacy? 

Nicholls: What’s been really quite striking about the siRNAs is the even more profound degree of lowering of Lp(a) that we’re seeing. We’re seeing 90% and greater lowering of Lp(a) in all of those programs. We’re seeing some differences between the programs in terms of the durability of that effect. 

I think it would be fair to say that with zerlasiran we’re starting to see perhaps that lowering effect starts to taper off a little bit more quickly than the other two. I think that may have some implications in terms of what dosing regimens may look like in the future. 

Even so, we’re talking about therapies that may be dosed 3- to 6-monthly, or even with the potential for being less frequent than that with lepodisiran. Again, I think the phase 2 data will be really important in terms of giving us more information.

O’Donoghue: For the lepodisiran results, I was really quite struck that even though it was small numbers, single dose administered, it really looked like the duration of effect persisted at the higher doses up to about a year. 

Nicholls: It looks pretty promising. We’ve launched the ACCLAIM study, the large cardiovascular outcome trial of lepodisiran, with a 6-monthly regimen. We are hopeful that more information may be able to give us the opportunity for even less frequent administration. 

That has really important implications for patients where adherence is a particular issue. They may just simply want to come into the clinic. You know, once or twice a year, very much like we’re seeing with inclisiran, and that may be a really effective approach for many patients. 

O’Donoghue: You alluded to the zerlasiran results, which were presented here at the American Heart Association meeting, and that even though it led to a robust reduction in Lp(a), it looked like the durability component was maybe a little bit shorter than for some of the other siRNAs that are currently being evaluated.

What’s your sense of that? 

Nicholls: It probably is. The implications clinically, at least in an outcome trial when they ultimately get to that point, probably aren’t that important. They’ll probably just have slightly more frequent administration. That may become a bigger issue when it gets out into the clinic.

The nice thing is that if all of these agents appear to be effective, are well tolerated, and get out to the clinic, then clinicians and patients are going to have a lot of choice. 

O’Donoghue: I think more competition is always good news for the field, ultimately. I think to your point, especially for a drug that might be self-administered, ultimately, whether it’s once a month or once every 3 months, it doesn’t probably make much difference. I think different choices are needed for different patients. 

Perhaps that’s a perfect segue to talk about the oral Lp(a) inhibitor that is also being developed. You presented these results for muvalaplin. 

 

Muvalaplin, an Oral Small Molecule

Nicholls: In terms of frequency of administration, we’re talking about a daily oral therapeutic. For patients who don’t want an injectable and are happy to take a tablet every day, muvalaplin has the potential to be a really good option for them. 

Muvalaplin is an oral small-molecule inhibitor. It essentially prevents apolipoprotein(a) [apo(a)] from binding to apolipoprotein B (apo B). We presented phase 1 data  at the European Society of Cardiology meeting last year, showing probably Lp(a) lowering on the order of about 65%. Here, we’re going to show that that’s a little bit more. It looks like it’s probably at least 70% lowering using a standard Lp(a) assay. Using an assay that looks specifically at intact Lp(a) particles, it’s probably well in excess of 80%.

Those are really good results. The safety and tolerability with muvalaplin look really good. Again, we’ll need to see that agent move forward into a large outcome trial and we’ve yet to hear about that, at least for now. 

O’Donoghue: It’s an interesting challenge that you faced in terms of the assay because, as you say, it really disrupts the apo(a) from binding to the apo B particle, and hence, a traditional assay that just measures apo(a), regardless of whether or not it’s bound to an apo B particle, may be a conservative estimate.

Nicholls: It may, in particular, because we know that apo(a) ultimately then binds to the drug. That assay is measuring what we think is nonfunctional apo(a) in addition to functional apo(a). It’s measuring functional apo(a) that’s still on an actual Lp(a) particle, but if it’s bound to muvalaplin, we think to some degree that’s probably unfair to count that. That’s why trying to develop other assays to try and understand the full effect of the drug is really important in terms of trying to understand how we develop that and move that forward.

O’Donoghue: Is there any evidence yet that the apo(a) particle that is not bound to apo B is in fact nonfunctional as you described it? 

Nicholls: We think that’s likely to be the case, but I think there continues to be research in that space to try and settle that question once and for all. 

O’Donoghue: Again, I think it’s a really exciting time in this field. Right now, we have three ongoing phase 3 trials. We have the pelacarsen trial that is still in follow-up, and fingers crossed, maybe will report out next year. Olpasiran is also in phase 3 testing, completed enrollment, and also is in the follow-up period. We also have lepodisiran, the ACCLAIM trial, as you mentioned. For people who are perhaps watching and looking to enroll their patients, this trial is still ongoing right now in terms of enrollment. 

Nicholls: It is, and what’s nice about the ACCLAIM study is that it includes both primary and secondary prevention patients. For the first time in a big outcome trial, patients with high Lp(a) levels but who have yet to have a clinical event can actually get into a clinical trial.

I’m sure, like you, my clinic is full of patients with high Lp(a) who are really desperate to get into these trials. Many of those primary prevention patients just simply haven’t qualified, so that’s really good news. 

The step beyond that, if we’re talking about even less frequent administration, is gene editing. We’re seeing those studies with CRISPR move forward to try to evaluate whether a single gene-editing approach at Lp(a) will be all that you need, which is even a more amazing concept, but that’s a study that needs more work. 

O’Donoghue: An exciting space though, for sure. As a final thought, you mentioned the patients in your clinic who you have identified as having high Lp(a). What are you doing right now in your practice for managing those patients? I think there are many practitioners out there who struggle with whether they should really measure their patients’ Lp(a), and whether they want to know that information.

Nicholls: Yeah, it’s really hard. The answer is yes, we do want to know it. We know it’s a great risk enhancer. We know that a patient with a high Lp(a) is somebody whom I want to more intensively treat their other risk factors. I’m aiming for a lower LDL. I’m being much tighter with blood pressure control.

I think there’s some argument from observational data at least that aspirin remains a consideration, particularly in patients where you think there’s a particularly high risk associated with that high Lp(a). I think there are things we absolutely can do today, but we can’t do anything if you don’t know the numbers.

It starts with testing, and then we can move on to what we can do today, and then hopefully in the not-too-distant future, we’ll have specific therapies that really enable for us to address Lp(a) quite definitively. 

O’Donoghue: Thanks again for taking the time. This was a very helpful discussion.

 

Michelle O’Donoghue is a cardiologist at Brigham and Women’s Hospital and senior investigator with the TIMI Study Group. A strong believer in evidence-based medicine, she relishes discussions about the published literature. A native Canadian, Michelle loves spending time outdoors with her family but admits with shame that she’s never strapped on hockey skates. Dr O’Donoghue, Senior Investigator, TIMI Study Group; Associate Professor of Medicine, Harvard Medical School; Associate Physician, Brigham and Women’s Hospital, Boston, Massachusetts, disclosed ties to Janssen; Novartis; CVS Minute Clinic; Merck & Co.; GlaxoSmithKline; Eisai Inc.; AstraZeneca Pharmaceuticals LP; Janssen Pharmaceuticals; Medicines Company; and Amgen. The opinions expressed in this article do not necessarily reflect the views and opinions of Brigham and Women’s Hospital. Stephen J. Nicholls, MBBS, PhD, Director, Victorian Heart Institute, Monash University; Director, Victorian Heart Hospital, Monash Health, Melbourne, Australia, has disclosed ties with Akcea Therapeutics; Amgen; AstraZeneca; Boehringer Ingelheim; CSL Behring; Eli Lilly and Company; Esperion Therapeutics; Kowa Pharmaceuticals; Merck; Novo Nordisk; Pfizer; Sanofi Regeneron; Daichii Sankyo; Vaxxinity; Cyclarity; CSL Sequirus; Takeda; Anthera Pharmaceuticals; Cerenis Therapeutics; Infraredx; New Amsterdam Pharma; Novartis; and Resverlogix.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity. 

Michelle L. O’Donoghue, MD, MPH: I’m here at the American Heart Association Scientific Sessions. It’s a very exciting meeting, but one of the interesting topics that we’re going to be talking about is lipoprotein(a) [Lp(a)] . It’s definitely one of the hottest sessions of the meeting.

Joining me to discuss this topic is Dr Steve Nicholls, who is arguably one of the leading experts in the world on lipids. He’s a professor of medicine at Monash University in Australia. Welcome. Thanks, Steve. 

Stephen J. Nicholls, MBBS, PhD: Thanks for having me. 

O’Donoghue: There are two phase 2 studies that we’ll circle back to that are being presented here at the American Heart Association meeting. These are for novel therapeutics that lower Lp(a). Perhaps taking a step back, we know that there’s a large body of evidence to support the concept that Lp(a) plays a causal role in heart disease and atherogenesis, but to date we haven’t had any effective therapies to really lower it.

Thinking about the therapeutics specifically that are on the horizon, perhaps we could start there. Which one is furthest along in development, and how does that look in terms of its ability to lower Lp(a)?

 

Pelacarsen, an ASO

Nicholls: Most of the therapies are injectable. Most of them are nucleic acid–based therapies, and the one that’s most advanced is an agent called pelacarsen. Pelacarsen is an antisense oligonucleotide (ASO), and it has gone all the way through its early phase 2 studies. It has a fully enrolled cardiovascular outcome trial.

We’re all eagerly awaiting the results of that study sometime in the next year or so. That will be the first large-scale clinical trial that will give us some clinical validation to ask the question of whether substantive lowering of Lp(a) will lower cardiovascular risk, with an agent that in early studies looks like it lowers Lp(a) about 80%.

O’Donoghue: Which is tremendous, because again, we really don’t have any effective therapies right now. I guess one of the big questions is, how much do we need to lower Lp(a) for that to translate into meaningful clinical benefit? What’s your sense there? 

Nicholls: Well, we simply don’t know. We’ve tried to look to genetics to try and give us some sort of sense in terms of what that looks like. Lp(a) is a little tricky because the assays and the numbers that get spit out can be tricky in terms of trying to compare apples and apples in different studies. 

We think that it’s probably at least a 50- to 75-mg/dL lowering of Lp(a) using the old units. We think that pelacarsen would hit that, and so our hope is that that would translate to a 15%-20% reduction in major cardiovascular events, but again, we’ve never asked this question before. 

We have data from PCSK9 inhibitor trials showing that lesser reductions in Lp(a) of 25%-30% with both evolocumab and alirocumab contributed to the clinical benefit that we saw in those studies. Those agents were really good at lowering low-density lipoprotein (LDL) cholesterol, but Lp(a) lowering seemed to matter. One would be very hopeful that if a 25%-30% lowering of Lp(a) is useful, then an 80% or greater lowering of Lp(a) should be really useful. 

 

The siRNAs

O’Donoghue: In addition to the ASO pelacarsen that you mentioned, there are several therapeutics in the pipeline, including three small interfering (si) RNAs that are at least in phase 2 and phase 3 testing at this point in time. There’s olpasiran, which in phase 2 testing led to more than a 95% reduction in Lp(a), and then lepodisiran , which has now moved into phase 3  testing, albeit we haven’t seen yet the phase 2  results. 

What is your sense of lepodisiran and its efficacy? 

Nicholls: What’s been really quite striking about the siRNAs is the even more profound degree of lowering of Lp(a) that we’re seeing. We’re seeing 90% and greater lowering of Lp(a) in all of those programs. We’re seeing some differences between the programs in terms of the durability of that effect. 

I think it would be fair to say that with zerlasiran we’re starting to see perhaps that lowering effect starts to taper off a little bit more quickly than the other two. I think that may have some implications in terms of what dosing regimens may look like in the future. 

Even so, we’re talking about therapies that may be dosed 3- to 6-monthly, or even with the potential for being less frequent than that with lepodisiran. Again, I think the phase 2 data will be really important in terms of giving us more information.

O’Donoghue: For the lepodisiran results, I was really quite struck that even though it was small numbers, single dose administered, it really looked like the duration of effect persisted at the higher doses up to about a year. 

Nicholls: It looks pretty promising. We’ve launched the ACCLAIM study, the large cardiovascular outcome trial of lepodisiran, with a 6-monthly regimen. We are hopeful that more information may be able to give us the opportunity for even less frequent administration. 

That has really important implications for patients where adherence is a particular issue. They may just simply want to come into the clinic. You know, once or twice a year, very much like we’re seeing with inclisiran, and that may be a really effective approach for many patients. 

O’Donoghue: You alluded to the zerlasiran results, which were presented here at the American Heart Association meeting, and that even though it led to a robust reduction in Lp(a), it looked like the durability component was maybe a little bit shorter than for some of the other siRNAs that are currently being evaluated.

What’s your sense of that? 

Nicholls: It probably is. The implications clinically, at least in an outcome trial when they ultimately get to that point, probably aren’t that important. They’ll probably just have slightly more frequent administration. That may become a bigger issue when it gets out into the clinic.

The nice thing is that if all of these agents appear to be effective, are well tolerated, and get out to the clinic, then clinicians and patients are going to have a lot of choice. 

O’Donoghue: I think more competition is always good news for the field, ultimately. I think to your point, especially for a drug that might be self-administered, ultimately, whether it’s once a month or once every 3 months, it doesn’t probably make much difference. I think different choices are needed for different patients. 

Perhaps that’s a perfect segue to talk about the oral Lp(a) inhibitor that is also being developed. You presented these results for muvalaplin. 

 

Muvalaplin, an Oral Small Molecule

Nicholls: In terms of frequency of administration, we’re talking about a daily oral therapeutic. For patients who don’t want an injectable and are happy to take a tablet every day, muvalaplin has the potential to be a really good option for them. 

Muvalaplin is an oral small-molecule inhibitor. It essentially prevents apolipoprotein(a) [apo(a)] from binding to apolipoprotein B (apo B). We presented phase 1 data  at the European Society of Cardiology meeting last year, showing probably Lp(a) lowering on the order of about 65%. Here, we’re going to show that that’s a little bit more. It looks like it’s probably at least 70% lowering using a standard Lp(a) assay. Using an assay that looks specifically at intact Lp(a) particles, it’s probably well in excess of 80%.

Those are really good results. The safety and tolerability with muvalaplin look really good. Again, we’ll need to see that agent move forward into a large outcome trial and we’ve yet to hear about that, at least for now. 

O’Donoghue: It’s an interesting challenge that you faced in terms of the assay because, as you say, it really disrupts the apo(a) from binding to the apo B particle, and hence, a traditional assay that just measures apo(a), regardless of whether or not it’s bound to an apo B particle, may be a conservative estimate.

Nicholls: It may, in particular, because we know that apo(a) ultimately then binds to the drug. That assay is measuring what we think is nonfunctional apo(a) in addition to functional apo(a). It’s measuring functional apo(a) that’s still on an actual Lp(a) particle, but if it’s bound to muvalaplin, we think to some degree that’s probably unfair to count that. That’s why trying to develop other assays to try and understand the full effect of the drug is really important in terms of trying to understand how we develop that and move that forward.

O’Donoghue: Is there any evidence yet that the apo(a) particle that is not bound to apo B is in fact nonfunctional as you described it? 

Nicholls: We think that’s likely to be the case, but I think there continues to be research in that space to try and settle that question once and for all. 

O’Donoghue: Again, I think it’s a really exciting time in this field. Right now, we have three ongoing phase 3 trials. We have the pelacarsen trial that is still in follow-up, and fingers crossed, maybe will report out next year. Olpasiran is also in phase 3 testing, completed enrollment, and also is in the follow-up period. We also have lepodisiran, the ACCLAIM trial, as you mentioned. For people who are perhaps watching and looking to enroll their patients, this trial is still ongoing right now in terms of enrollment. 

Nicholls: It is, and what’s nice about the ACCLAIM study is that it includes both primary and secondary prevention patients. For the first time in a big outcome trial, patients with high Lp(a) levels but who have yet to have a clinical event can actually get into a clinical trial.

I’m sure, like you, my clinic is full of patients with high Lp(a) who are really desperate to get into these trials. Many of those primary prevention patients just simply haven’t qualified, so that’s really good news. 

The step beyond that, if we’re talking about even less frequent administration, is gene editing. We’re seeing those studies with CRISPR move forward to try to evaluate whether a single gene-editing approach at Lp(a) will be all that you need, which is even a more amazing concept, but that’s a study that needs more work. 

O’Donoghue: An exciting space though, for sure. As a final thought, you mentioned the patients in your clinic who you have identified as having high Lp(a). What are you doing right now in your practice for managing those patients? I think there are many practitioners out there who struggle with whether they should really measure their patients’ Lp(a), and whether they want to know that information.

Nicholls: Yeah, it’s really hard. The answer is yes, we do want to know it. We know it’s a great risk enhancer. We know that a patient with a high Lp(a) is somebody whom I want to more intensively treat their other risk factors. I’m aiming for a lower LDL. I’m being much tighter with blood pressure control.

I think there’s some argument from observational data at least that aspirin remains a consideration, particularly in patients where you think there’s a particularly high risk associated with that high Lp(a). I think there are things we absolutely can do today, but we can’t do anything if you don’t know the numbers.

It starts with testing, and then we can move on to what we can do today, and then hopefully in the not-too-distant future, we’ll have specific therapies that really enable for us to address Lp(a) quite definitively. 

O’Donoghue: Thanks again for taking the time. This was a very helpful discussion.

 

Michelle O’Donoghue is a cardiologist at Brigham and Women’s Hospital and senior investigator with the TIMI Study Group. A strong believer in evidence-based medicine, she relishes discussions about the published literature. A native Canadian, Michelle loves spending time outdoors with her family but admits with shame that she’s never strapped on hockey skates. Dr O’Donoghue, Senior Investigator, TIMI Study Group; Associate Professor of Medicine, Harvard Medical School; Associate Physician, Brigham and Women’s Hospital, Boston, Massachusetts, disclosed ties to Janssen; Novartis; CVS Minute Clinic; Merck & Co.; GlaxoSmithKline; Eisai Inc.; AstraZeneca Pharmaceuticals LP; Janssen Pharmaceuticals; Medicines Company; and Amgen. The opinions expressed in this article do not necessarily reflect the views and opinions of Brigham and Women’s Hospital. Stephen J. Nicholls, MBBS, PhD, Director, Victorian Heart Institute, Monash University; Director, Victorian Heart Hospital, Monash Health, Melbourne, Australia, has disclosed ties with Akcea Therapeutics; Amgen; AstraZeneca; Boehringer Ingelheim; CSL Behring; Eli Lilly and Company; Esperion Therapeutics; Kowa Pharmaceuticals; Merck; Novo Nordisk; Pfizer; Sanofi Regeneron; Daichii Sankyo; Vaxxinity; Cyclarity; CSL Sequirus; Takeda; Anthera Pharmaceuticals; Cerenis Therapeutics; Infraredx; New Amsterdam Pharma; Novartis; and Resverlogix.

A version of this article appeared on Medscape.com.

An electronic nudge explaining the cardiovascular benefits of the influenza vaccine increased vaccination rates, particularly among people who had previously had a heart attack, showed the NUDGE FLU series of clinical trials.

Influenza has the potential to be a dangerous infection on its own, but it increases the risk for cardiovascular events among people with a history of heart attack, said the study’s lead author, Ankeet Bhatt, MD, a cardiologist at Kaiser Permanente San Francisco Medical Center, San Francisco.

“Yearly influenza vaccines help prevent influenza infection and, in patients with a heart attack, are potentially cardioprotective,” he said during his presentation at the American Heart Association (AHA) Scientific Sessions 2024 in Chicago. The NUDGE FLU results were simultaneously published online in JAMA Cardiology.

In Denmark, where the trials were conducted, about 80% of older adults get flu shots, but only about 40% of younger adults with chronic diseases do, Bhatt reported. In the United States, about 45% of adults and 55% of children received at least one dose of the flu vaccine in the 2023/24 flu season, according to the US Centers for Disease Control and Prevention (CDC).

 

The NUDGE FLU Trials

Bhatt and his colleagues conducted three related clinical trials during the 2022/23 and 2023/24 flu seasons: NUDGE-FLU and NUDGE-FLU-2 targeted older adults, whereas NUDGE-FLU-CHRONIC targeted younger adults with chronic diseases. Nearly 2 million people were involved in the three trials.

Participants were randomized to receive one of a series of different behavioral-science-informed letters, delivered through a government-run electronic communication system, or no reminder.

People who received any of the nudges had higher rates of vaccination; among heart attack survivors, there was a 1.8% improvement and among adults without a history of heart attack, there was a 1.3% improvement. But a nudge that explained the potential cardiovascular benefits of flu shots was even more effective, leading to a 3.9% increase among people with a history of heart attack and a 2% increase among those with no heart attack history.

“A simple sentence resulted in a durable improvement in the vaccination rate,” said Bhatt.

The effect was even greater among those who had not been vaccinated in the previous flu season. Among heart attack survivors, nearly 14% more people got the vaccine compared with just 1.5% more survivors who were previously vaccinated. And it was most effective among younger adults who had experienced a recent heart attack, resulting in a 26% increase.

“The impact was larger in patients with a history of acute myocardial infarction, in those who were vaccine-hesitant, and in younger people” — all groups with the most to gain from vaccination in terms of cardiovascular protection — Bhatt reported.

About 25% of people in the United States are unsure about whether to get a flu shot, said Orly Vardeny, PharmD, professor of medicine at the University of Minnesota Medical School in Minneapolis, who was not involved in the study. The fact that previously unvaccinated people were convinced by the nudges is reassuring. “That’s the group where this intervention is most likely to move the needle,” she said.

Around half of all people hospitalized for flu in the United States have cardiovascular disease, CDC data showed, so “even a small increase in the number of patients who get vaccinated has substantial public health benefits,” Vardeny said.

The NUDGE FLU series showed that nudges like this should be employed as a simple tool to improve vaccination rates, but the system would be much more difficult to implement in the United States, Bhatt said.

Denmark has a national health service and a preexisting government electronic communication system, whereas the US system is privately run and more fractured. It would be possible to make it work, he pointed out, but would take some effort.

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

An electronic nudge explaining the cardiovascular benefits of the influenza vaccine increased vaccination rates, particularly among people who had previously had a heart attack, showed the NUDGE FLU series of clinical trials.

Influenza has the potential to be a dangerous infection on its own, but it increases the risk for cardiovascular events among people with a history of heart attack, said the study’s lead author, Ankeet Bhatt, MD, a cardiologist at Kaiser Permanente San Francisco Medical Center, San Francisco.

“Yearly influenza vaccines help prevent influenza infection and, in patients with a heart attack, are potentially cardioprotective,” he said during his presentation at the American Heart Association (AHA) Scientific Sessions 2024 in Chicago. The NUDGE FLU results were simultaneously published online in JAMA Cardiology.

In Denmark, where the trials were conducted, about 80% of older adults get flu shots, but only about 40% of younger adults with chronic diseases do, Bhatt reported. In the United States, about 45% of adults and 55% of children received at least one dose of the flu vaccine in the 2023/24 flu season, according to the US Centers for Disease Control and Prevention (CDC).

 

The NUDGE FLU Trials

Bhatt and his colleagues conducted three related clinical trials during the 2022/23 and 2023/24 flu seasons: NUDGE-FLU and NUDGE-FLU-2 targeted older adults, whereas NUDGE-FLU-CHRONIC targeted younger adults with chronic diseases. Nearly 2 million people were involved in the three trials.

Participants were randomized to receive one of a series of different behavioral-science-informed letters, delivered through a government-run electronic communication system, or no reminder.

People who received any of the nudges had higher rates of vaccination; among heart attack survivors, there was a 1.8% improvement and among adults without a history of heart attack, there was a 1.3% improvement. But a nudge that explained the potential cardiovascular benefits of flu shots was even more effective, leading to a 3.9% increase among people with a history of heart attack and a 2% increase among those with no heart attack history.

“A simple sentence resulted in a durable improvement in the vaccination rate,” said Bhatt.

The effect was even greater among those who had not been vaccinated in the previous flu season. Among heart attack survivors, nearly 14% more people got the vaccine compared with just 1.5% more survivors who were previously vaccinated. And it was most effective among younger adults who had experienced a recent heart attack, resulting in a 26% increase.

“The impact was larger in patients with a history of acute myocardial infarction, in those who were vaccine-hesitant, and in younger people” — all groups with the most to gain from vaccination in terms of cardiovascular protection — Bhatt reported.

About 25% of people in the United States are unsure about whether to get a flu shot, said Orly Vardeny, PharmD, professor of medicine at the University of Minnesota Medical School in Minneapolis, who was not involved in the study. The fact that previously unvaccinated people were convinced by the nudges is reassuring. “That’s the group where this intervention is most likely to move the needle,” she said.

Around half of all people hospitalized for flu in the United States have cardiovascular disease, CDC data showed, so “even a small increase in the number of patients who get vaccinated has substantial public health benefits,” Vardeny said.

The NUDGE FLU series showed that nudges like this should be employed as a simple tool to improve vaccination rates, but the system would be much more difficult to implement in the United States, Bhatt said.

Denmark has a national health service and a preexisting government electronic communication system, whereas the US system is privately run and more fractured. It would be possible to make it work, he pointed out, but would take some effort.

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

An electronic nudge explaining the cardiovascular benefits of the influenza vaccine increased vaccination rates, particularly among people who had previously had a heart attack, showed the NUDGE FLU series of clinical trials.

Influenza has the potential to be a dangerous infection on its own, but it increases the risk for cardiovascular events among people with a history of heart attack, said the study’s lead author, Ankeet Bhatt, MD, a cardiologist at Kaiser Permanente San Francisco Medical Center, San Francisco.

“Yearly influenza vaccines help prevent influenza infection and, in patients with a heart attack, are potentially cardioprotective,” he said during his presentation at the American Heart Association (AHA) Scientific Sessions 2024 in Chicago. The NUDGE FLU results were simultaneously published online in JAMA Cardiology.

In Denmark, where the trials were conducted, about 80% of older adults get flu shots, but only about 40% of younger adults with chronic diseases do, Bhatt reported. In the United States, about 45% of adults and 55% of children received at least one dose of the flu vaccine in the 2023/24 flu season, according to the US Centers for Disease Control and Prevention (CDC).

 

The NUDGE FLU Trials

Bhatt and his colleagues conducted three related clinical trials during the 2022/23 and 2023/24 flu seasons: NUDGE-FLU and NUDGE-FLU-2 targeted older adults, whereas NUDGE-FLU-CHRONIC targeted younger adults with chronic diseases. Nearly 2 million people were involved in the three trials.

Participants were randomized to receive one of a series of different behavioral-science-informed letters, delivered through a government-run electronic communication system, or no reminder.

People who received any of the nudges had higher rates of vaccination; among heart attack survivors, there was a 1.8% improvement and among adults without a history of heart attack, there was a 1.3% improvement. But a nudge that explained the potential cardiovascular benefits of flu shots was even more effective, leading to a 3.9% increase among people with a history of heart attack and a 2% increase among those with no heart attack history.

“A simple sentence resulted in a durable improvement in the vaccination rate,” said Bhatt.

The effect was even greater among those who had not been vaccinated in the previous flu season. Among heart attack survivors, nearly 14% more people got the vaccine compared with just 1.5% more survivors who were previously vaccinated. And it was most effective among younger adults who had experienced a recent heart attack, resulting in a 26% increase.

“The impact was larger in patients with a history of acute myocardial infarction, in those who were vaccine-hesitant, and in younger people” — all groups with the most to gain from vaccination in terms of cardiovascular protection — Bhatt reported.

About 25% of people in the United States are unsure about whether to get a flu shot, said Orly Vardeny, PharmD, professor of medicine at the University of Minnesota Medical School in Minneapolis, who was not involved in the study. The fact that previously unvaccinated people were convinced by the nudges is reassuring. “That’s the group where this intervention is most likely to move the needle,” she said.

Around half of all people hospitalized for flu in the United States have cardiovascular disease, CDC data showed, so “even a small increase in the number of patients who get vaccinated has substantial public health benefits,” Vardeny said.

The NUDGE FLU series showed that nudges like this should be employed as a simple tool to improve vaccination rates, but the system would be much more difficult to implement in the United States, Bhatt said.

Denmark has a national health service and a preexisting government electronic communication system, whereas the US system is privately run and more fractured. It would be possible to make it work, he pointed out, but would take some effort.

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

The question may seem simple: Could paying for weight loss medications — especially the pricey glucagon-like peptide 1 receptor agonists (GLP-1s), tirzepatide (Zepbound) and semaglutide (Wegovy) — be more cost-effective than paying for obesity care and the complications of obesity, such as cardiovascular disease and diabetes?

It’s a question that’s getting an increased amount of attention.

And for good reason — more than two in five US adults have obesity, according to the Centers for Disease Control and Prevention, and costs to treat obesity, in 2019 dollars, approached $173 billion, including productivity losses. Adults with obesity have annual healthcare costs of $1861 more than those at healthier weights.

Among recent developments:

• A proposed new rule, announced on November 26 by the Biden administration, expands coverage of anti-obesity medication for Americans who have Medicare and Medicaid. If it takes effect, an estimated 3.4 million Medicare recipients and about 4 million adult Medicaid enrollees could get access to the medications.
• As Medicare coverage goes, private insurers often follow. Observers predict that if the Centers for Medicare & Medicaid Services (CMS) covers anti-obesity drugs, more private employers may soon do the same. Recently, however, some private plans have done the opposite and dropped coverage of the pricey GLP-1s, which can cost $1000 a month or more out-of-pocket, citing excess costs for their company.
• Among the analyses about the value of weight loss on healthcare cost savings is a report published on December 5 in JAMA Network Open. Emory University experts looked at privately insured adults and adult Medicare beneficiaries with a body mass index (BMI) of ≥ 25 (classified as overweight). The conclusion: Projected annual savings from weight loss among US adults with obesity were substantial for both employee-based insurance and Medicare recipients.
• Besides helping obesity and obesity-related conditions, access to GLP-1s could have a favorable effect on productivity, others claim. That’s one focus of a 5-year partnership between the University of Manchester in England, and Eli Lilly and Company. Called SURMOUNT-REAL UK, the study will evaluate the effectiveness of tirzepatide in weight loss, diabetes prevention, and prevention of obesity-related complications in adults with obesity. It also aims to look at changes in health-related quality of life with weight loss and with changes in employment status and sick days.

CMS Proposal

In a statement announcing the proposal for Medicare and Medicaid to offer weight loss drugs, the White House noted that “tens of millions of Americans struggle with obesity” but that currently Medicare only covers the anti-obesity medications for certain conditions such as diabetes. The new proposal would expand that access to those with obesity. As of August, just 13 states cover GLP-1s in Medicaid programs, and North Carolina was the latest to do so.

Organizations advocating for health equity and recognition that obesity is a chronic disease came out in strong support of the proposal.

Kenneth E. Thorpe, PhD, a health policy expert at Emory University in Atlanta, who coauthored the recent analysis finding that weight loss offsets healthcare costs on an individual basis, told this news organization: “If finalized, this broad new coverage [by Medicare and Medicaid] would have a profound impact on the ability of Americans to access these novel medications that could significantly reduce obesity-related healthcare spending and improve overall health.”

The proposal “is modernizing the coverage of Medicare and Medicaid for obesity treatment,” agreed John Cawley, PhD, professor of economics and public policy at Cornell University in Ithaca, New York, who has researched the direct medical costs of obesity in the United States. “In this HHS rule, they talk about the scientific and medical consensus that having obesity is a chronic condition.”

The proposal requires a 60-day comment period that ends January 27, 2025, taking the timeline into the beginning of the Trump administration. Cawley and others pointed out that Trump’s pick for Health and Human Services Secretary, Robert F. Kennedy Jr, has been an outspoken opponent of the anti-obesity medicines, suggesting instead that Americans simply eat better.

 

Expert Analyses: Emory, Cornell, Southern California

So would paying for the pricey GLP-1s be smart in the long term? Analyses don’t agree.

Weight loss among those with obesity produces healthcare cost savings, said Thorpe and Peter Joski, MSPH, an associate research professor at Emory University. The two compared annual healthcare spending among privately insured adults and adult Medicare beneficiaries with a BMI of ≥ 25, using data from the Medical Expenditure Panel Survey — Household Component from April 1 to June 20, 2024.

The researchers looked at 3774 adults insured with Medicare and 13,435 with employer-sponsored insurance. Overall, those with private insurance with a weight loss of 5% spent an estimated average of $670 less on healthcare. Those with a weight loss of 25% spent an estimated $2849 less on healthcare. Among those with Medicare who had one or more comorbidities, a 5% weight loss reduced spending by $1262 on average; a 25% loss reduced it by an estimated $5442, or 31%.

Thorpe called the savings substantial. In an email interview, Thorpe said, “So yes, weight loss for people living with obesity does lower healthcare costs, as my research shows, but it also lowers other costs as well.”

These include costs associated with disability, workers’ compensation, presenteeism/absenteeism, and everyday costs, he said. He contends that “those other costs should factor into decisions about preventing and treating obesity of payors and policymakers and enhance the case for cost-effectiveness of treating obesity.”

Other research suggests it’s important to target the use of the anti-obesity medications to the BMI range that would get the most benefit. For people just barely above the BMI threshold of 30, no cost savings are expected, Cawley found in his research. But he has found substantial cost reduction if the BMI was 35-40.

However, as Cawley pointed out, as the drugs get cheaper and more options become available, the entire scenario is expected to shift.

 

The Congressional Budget Office View

In October, the nonpartisan Congressional Budget Office issued a report, “How Would Authorizing Medicare to Cover Anti-Obesity Medications Affect the Federal Budget?” Among the conclusions: Covering the anti-obesity medications would increase federal spending, on net, by about $35 billion from 2026 to 2034. Total direct federal costs of covering the medication would increase from $1.6 billion in 2026 to $7.1 billion in 2034. And it said total savings from improved health of the beneficiaries would be small, less than $50 million in 2026 and rising to $1 billion in 2034.

Covering the medications would cost $5600 per user in 2026, then down to $4300 in 2034. The offset of savings per user would be about $50 in 2026, then $650 in 2034.

 

Expert Analysis: USC Schaeffer Center

“The costs offsets come over time,” said Alison Sexton Ward, PhD, an economist at the University of Southern California’s Leonard D. Schaeffer Center, Los Angeles, and an expert on the topic. “If we look at the average annual medical cost over a lifetime, we do see cost offsets there.”

However, treating obesity means people will live longer, “and living longer costs more,” she said.

She took issue with some of the calculations in the CBO report, such as not considering the effect of semaglutide’s patent expiring in 2033.

In a white paper published in April 2023, Sexton Ward and her coauthors modeled potential social benefits and medical cost offsets from granting access to the newer weight loss drugs. The cumulative social benefits of providing coverage over the next decade would reach nearly $1 trillion, they said. Benefits would increase if private insurance expanded coverage. “In the first 10 years alone, covering weight loss therapies would save Medicare $175 billion-$245 billion, depending on whether private insurance joins Medicare in providing coverage for younger populations.”

While much focus is on Medicare coverage, Sexton Ward and others pointed out the need to expand coverage to younger ages, with the aim of preventing or delaying obesity-related complications.

 

Lilly UK Trial

A spokesperson for Lilly declined to comment further on the UK study, explaining that the study was just launching.

Besides tracking weight loss, researchers will evaluate the effect of the weight loss on sick days from work and employment. Obesity is shown to affect a person’s ability to work, leading to more absenteeism, so treating the obesity may improve productivity.

 

Beyond Health: The Value of Weight Loss

“I love the idea of studying whether access to obesity medications helps people stay employed and do their job,” said Cristy Gallagher, associate director of Research and Policy at STOP Obesity Alliance at the Milken Institute School of Public Health, George Washington University, Washington, DC. The alliance includes more than 50 organizations advocating for adult obesity treatment.

“One of our big arguments is [that] access to care, and to obesity care, will also help other conditions — comorbidities like heart disease and diabetes.”

However, access to the anti-obesity medications, by itself, is not enough, Gallagher said. Other components, such as intensive behavioral therapy and guidance about diet and exercise, are needed, she said. So, too, for those who need it, is access to bariatric surgery, she said. And medication access should include other options besides the GLP-1s, she said. “Not every medication is right for everybody.”

Cawley, Gallagher, Thorpe, and Sexton Ward had no disclosures.
 

A version of this article appeared on Medscape.com.

The question may seem simple: Could paying for weight loss medications — especially the pricey glucagon-like peptide 1 receptor agonists (GLP-1s), tirzepatide (Zepbound) and semaglutide (Wegovy) — be more cost-effective than paying for obesity care and the complications of obesity, such as cardiovascular disease and diabetes?

It’s a question that’s getting an increased amount of attention.

And for good reason — more than two in five US adults have obesity, according to the Centers for Disease Control and Prevention, and costs to treat obesity, in 2019 dollars, approached $173 billion, including productivity losses. Adults with obesity have annual healthcare costs of $1861 more than those at healthier weights.

Among recent developments:

• A proposed new rule, announced on November 26 by the Biden administration, expands coverage of anti-obesity medication for Americans who have Medicare and Medicaid. If it takes effect, an estimated 3.4 million Medicare recipients and about 4 million adult Medicaid enrollees could get access to the medications.
• As Medicare coverage goes, private insurers often follow. Observers predict that if the Centers for Medicare & Medicaid Services (CMS) covers anti-obesity drugs, more private employers may soon do the same. Recently, however, some private plans have done the opposite and dropped coverage of the pricey GLP-1s, which can cost $1000 a month or more out-of-pocket, citing excess costs for their company.
• Among the analyses about the value of weight loss on healthcare cost savings is a report published on December 5 in JAMA Network Open. Emory University experts looked at privately insured adults and adult Medicare beneficiaries with a body mass index (BMI) of ≥ 25 (classified as overweight). The conclusion: Projected annual savings from weight loss among US adults with obesity were substantial for both employee-based insurance and Medicare recipients.
• Besides helping obesity and obesity-related conditions, access to GLP-1s could have a favorable effect on productivity, others claim. That’s one focus of a 5-year partnership between the University of Manchester in England, and Eli Lilly and Company. Called SURMOUNT-REAL UK, the study will evaluate the effectiveness of tirzepatide in weight loss, diabetes prevention, and prevention of obesity-related complications in adults with obesity. It also aims to look at changes in health-related quality of life with weight loss and with changes in employment status and sick days.

CMS Proposal

In a statement announcing the proposal for Medicare and Medicaid to offer weight loss drugs, the White House noted that “tens of millions of Americans struggle with obesity” but that currently Medicare only covers the anti-obesity medications for certain conditions such as diabetes. The new proposal would expand that access to those with obesity. As of August, just 13 states cover GLP-1s in Medicaid programs, and North Carolina was the latest to do so.

Organizations advocating for health equity and recognition that obesity is a chronic disease came out in strong support of the proposal.

Kenneth E. Thorpe, PhD, a health policy expert at Emory University in Atlanta, who coauthored the recent analysis finding that weight loss offsets healthcare costs on an individual basis, told this news organization: “If finalized, this broad new coverage [by Medicare and Medicaid] would have a profound impact on the ability of Americans to access these novel medications that could significantly reduce obesity-related healthcare spending and improve overall health.”

The proposal “is modernizing the coverage of Medicare and Medicaid for obesity treatment,” agreed John Cawley, PhD, professor of economics and public policy at Cornell University in Ithaca, New York, who has researched the direct medical costs of obesity in the United States. “In this HHS rule, they talk about the scientific and medical consensus that having obesity is a chronic condition.”

The proposal requires a 60-day comment period that ends January 27, 2025, taking the timeline into the beginning of the Trump administration. Cawley and others pointed out that Trump’s pick for Health and Human Services Secretary, Robert F. Kennedy Jr, has been an outspoken opponent of the anti-obesity medicines, suggesting instead that Americans simply eat better.

 

Expert Analyses: Emory, Cornell, Southern California

So would paying for the pricey GLP-1s be smart in the long term? Analyses don’t agree.

Weight loss among those with obesity produces healthcare cost savings, said Thorpe and Peter Joski, MSPH, an associate research professor at Emory University. The two compared annual healthcare spending among privately insured adults and adult Medicare beneficiaries with a BMI of ≥ 25, using data from the Medical Expenditure Panel Survey — Household Component from April 1 to June 20, 2024.

The researchers looked at 3774 adults insured with Medicare and 13,435 with employer-sponsored insurance. Overall, those with private insurance with a weight loss of 5% spent an estimated average of $670 less on healthcare. Those with a weight loss of 25% spent an estimated $2849 less on healthcare. Among those with Medicare who had one or more comorbidities, a 5% weight loss reduced spending by $1262 on average; a 25% loss reduced it by an estimated $5442, or 31%.

Thorpe called the savings substantial. In an email interview, Thorpe said, “So yes, weight loss for people living with obesity does lower healthcare costs, as my research shows, but it also lowers other costs as well.”

These include costs associated with disability, workers’ compensation, presenteeism/absenteeism, and everyday costs, he said. He contends that “those other costs should factor into decisions about preventing and treating obesity of payors and policymakers and enhance the case for cost-effectiveness of treating obesity.”

Other research suggests it’s important to target the use of the anti-obesity medications to the BMI range that would get the most benefit. For people just barely above the BMI threshold of 30, no cost savings are expected, Cawley found in his research. But he has found substantial cost reduction if the BMI was 35-40.

However, as Cawley pointed out, as the drugs get cheaper and more options become available, the entire scenario is expected to shift.

 

The Congressional Budget Office View

In October, the nonpartisan Congressional Budget Office issued a report, “How Would Authorizing Medicare to Cover Anti-Obesity Medications Affect the Federal Budget?” Among the conclusions: Covering the anti-obesity medications would increase federal spending, on net, by about $35 billion from 2026 to 2034. Total direct federal costs of covering the medication would increase from $1.6 billion in 2026 to $7.1 billion in 2034. And it said total savings from improved health of the beneficiaries would be small, less than $50 million in 2026 and rising to $1 billion in 2034.

Covering the medications would cost $5600 per user in 2026, then down to $4300 in 2034. The offset of savings per user would be about $50 in 2026, then $650 in 2034.

 

Expert Analysis: USC Schaeffer Center

“The costs offsets come over time,” said Alison Sexton Ward, PhD, an economist at the University of Southern California’s Leonard D. Schaeffer Center, Los Angeles, and an expert on the topic. “If we look at the average annual medical cost over a lifetime, we do see cost offsets there.”

However, treating obesity means people will live longer, “and living longer costs more,” she said.

She took issue with some of the calculations in the CBO report, such as not considering the effect of semaglutide’s patent expiring in 2033.

In a white paper published in April 2023, Sexton Ward and her coauthors modeled potential social benefits and medical cost offsets from granting access to the newer weight loss drugs. The cumulative social benefits of providing coverage over the next decade would reach nearly $1 trillion, they said. Benefits would increase if private insurance expanded coverage. “In the first 10 years alone, covering weight loss therapies would save Medicare $175 billion-$245 billion, depending on whether private insurance joins Medicare in providing coverage for younger populations.”

While much focus is on Medicare coverage, Sexton Ward and others pointed out the need to expand coverage to younger ages, with the aim of preventing or delaying obesity-related complications.

 

Lilly UK Trial

A spokesperson for Lilly declined to comment further on the UK study, explaining that the study was just launching.

Besides tracking weight loss, researchers will evaluate the effect of the weight loss on sick days from work and employment. Obesity is shown to affect a person’s ability to work, leading to more absenteeism, so treating the obesity may improve productivity.

 

Beyond Health: The Value of Weight Loss

“I love the idea of studying whether access to obesity medications helps people stay employed and do their job,” said Cristy Gallagher, associate director of Research and Policy at STOP Obesity Alliance at the Milken Institute School of Public Health, George Washington University, Washington, DC. The alliance includes more than 50 organizations advocating for adult obesity treatment.

“One of our big arguments is [that] access to care, and to obesity care, will also help other conditions — comorbidities like heart disease and diabetes.”

However, access to the anti-obesity medications, by itself, is not enough, Gallagher said. Other components, such as intensive behavioral therapy and guidance about diet and exercise, are needed, she said. So, too, for those who need it, is access to bariatric surgery, she said. And medication access should include other options besides the GLP-1s, she said. “Not every medication is right for everybody.”

Cawley, Gallagher, Thorpe, and Sexton Ward had no disclosures.
 

A version of this article appeared on Medscape.com.

The question may seem simple: Could paying for weight loss medications — especially the pricey glucagon-like peptide 1 receptor agonists (GLP-1s), tirzepatide (Zepbound) and semaglutide (Wegovy) — be more cost-effective than paying for obesity care and the complications of obesity, such as cardiovascular disease and diabetes?

It’s a question that’s getting an increased amount of attention.

And for good reason — more than two in five US adults have obesity, according to the Centers for Disease Control and Prevention, and costs to treat obesity, in 2019 dollars, approached $173 billion, including productivity losses. Adults with obesity have annual healthcare costs of $1861 more than those at healthier weights.

Among recent developments:

• A proposed new rule, announced on November 26 by the Biden administration, expands coverage of anti-obesity medication for Americans who have Medicare and Medicaid. If it takes effect, an estimated 3.4 million Medicare recipients and about 4 million adult Medicaid enrollees could get access to the medications.
• As Medicare coverage goes, private insurers often follow. Observers predict that if the Centers for Medicare & Medicaid Services (CMS) covers anti-obesity drugs, more private employers may soon do the same. Recently, however, some private plans have done the opposite and dropped coverage of the pricey GLP-1s, which can cost $1000 a month or more out-of-pocket, citing excess costs for their company.
• Among the analyses about the value of weight loss on healthcare cost savings is a report published on December 5 in JAMA Network Open. Emory University experts looked at privately insured adults and adult Medicare beneficiaries with a body mass index (BMI) of ≥ 25 (classified as overweight). The conclusion: Projected annual savings from weight loss among US adults with obesity were substantial for both employee-based insurance and Medicare recipients.
• Besides helping obesity and obesity-related conditions, access to GLP-1s could have a favorable effect on productivity, others claim. That’s one focus of a 5-year partnership between the University of Manchester in England, and Eli Lilly and Company. Called SURMOUNT-REAL UK, the study will evaluate the effectiveness of tirzepatide in weight loss, diabetes prevention, and prevention of obesity-related complications in adults with obesity. It also aims to look at changes in health-related quality of life with weight loss and with changes in employment status and sick days.

CMS Proposal

In a statement announcing the proposal for Medicare and Medicaid to offer weight loss drugs, the White House noted that “tens of millions of Americans struggle with obesity” but that currently Medicare only covers the anti-obesity medications for certain conditions such as diabetes. The new proposal would expand that access to those with obesity. As of August, just 13 states cover GLP-1s in Medicaid programs, and North Carolina was the latest to do so.

Organizations advocating for health equity and recognition that obesity is a chronic disease came out in strong support of the proposal.

Kenneth E. Thorpe, PhD, a health policy expert at Emory University in Atlanta, who coauthored the recent analysis finding that weight loss offsets healthcare costs on an individual basis, told this news organization: “If finalized, this broad new coverage [by Medicare and Medicaid] would have a profound impact on the ability of Americans to access these novel medications that could significantly reduce obesity-related healthcare spending and improve overall health.”

The proposal “is modernizing the coverage of Medicare and Medicaid for obesity treatment,” agreed John Cawley, PhD, professor of economics and public policy at Cornell University in Ithaca, New York, who has researched the direct medical costs of obesity in the United States. “In this HHS rule, they talk about the scientific and medical consensus that having obesity is a chronic condition.”

The proposal requires a 60-day comment period that ends January 27, 2025, taking the timeline into the beginning of the Trump administration. Cawley and others pointed out that Trump’s pick for Health and Human Services Secretary, Robert F. Kennedy Jr, has been an outspoken opponent of the anti-obesity medicines, suggesting instead that Americans simply eat better.

 

Expert Analyses: Emory, Cornell, Southern California

So would paying for the pricey GLP-1s be smart in the long term? Analyses don’t agree.

Weight loss among those with obesity produces healthcare cost savings, said Thorpe and Peter Joski, MSPH, an associate research professor at Emory University. The two compared annual healthcare spending among privately insured adults and adult Medicare beneficiaries with a BMI of ≥ 25, using data from the Medical Expenditure Panel Survey — Household Component from April 1 to June 20, 2024.

The researchers looked at 3774 adults insured with Medicare and 13,435 with employer-sponsored insurance. Overall, those with private insurance with a weight loss of 5% spent an estimated average of $670 less on healthcare. Those with a weight loss of 25% spent an estimated $2849 less on healthcare. Among those with Medicare who had one or more comorbidities, a 5% weight loss reduced spending by $1262 on average; a 25% loss reduced it by an estimated $5442, or 31%.

Thorpe called the savings substantial. In an email interview, Thorpe said, “So yes, weight loss for people living with obesity does lower healthcare costs, as my research shows, but it also lowers other costs as well.”

These include costs associated with disability, workers’ compensation, presenteeism/absenteeism, and everyday costs, he said. He contends that “those other costs should factor into decisions about preventing and treating obesity of payors and policymakers and enhance the case for cost-effectiveness of treating obesity.”

Other research suggests it’s important to target the use of the anti-obesity medications to the BMI range that would get the most benefit. For people just barely above the BMI threshold of 30, no cost savings are expected, Cawley found in his research. But he has found substantial cost reduction if the BMI was 35-40.

However, as Cawley pointed out, as the drugs get cheaper and more options become available, the entire scenario is expected to shift.

 

The Congressional Budget Office View

In October, the nonpartisan Congressional Budget Office issued a report, “How Would Authorizing Medicare to Cover Anti-Obesity Medications Affect the Federal Budget?” Among the conclusions: Covering the anti-obesity medications would increase federal spending, on net, by about $35 billion from 2026 to 2034. Total direct federal costs of covering the medication would increase from $1.6 billion in 2026 to $7.1 billion in 2034. And it said total savings from improved health of the beneficiaries would be small, less than $50 million in 2026 and rising to $1 billion in 2034.

Covering the medications would cost $5600 per user in 2026, then down to $4300 in 2034. The offset of savings per user would be about $50 in 2026, then $650 in 2034.

 

Expert Analysis: USC Schaeffer Center

“The costs offsets come over time,” said Alison Sexton Ward, PhD, an economist at the University of Southern California’s Leonard D. Schaeffer Center, Los Angeles, and an expert on the topic. “If we look at the average annual medical cost over a lifetime, we do see cost offsets there.”

However, treating obesity means people will live longer, “and living longer costs more,” she said.

She took issue with some of the calculations in the CBO report, such as not considering the effect of semaglutide’s patent expiring in 2033.

In a white paper published in April 2023, Sexton Ward and her coauthors modeled potential social benefits and medical cost offsets from granting access to the newer weight loss drugs. The cumulative social benefits of providing coverage over the next decade would reach nearly $1 trillion, they said. Benefits would increase if private insurance expanded coverage. “In the first 10 years alone, covering weight loss therapies would save Medicare $175 billion-$245 billion, depending on whether private insurance joins Medicare in providing coverage for younger populations.”

While much focus is on Medicare coverage, Sexton Ward and others pointed out the need to expand coverage to younger ages, with the aim of preventing or delaying obesity-related complications.

 

Lilly UK Trial

A spokesperson for Lilly declined to comment further on the UK study, explaining that the study was just launching.

Besides tracking weight loss, researchers will evaluate the effect of the weight loss on sick days from work and employment. Obesity is shown to affect a person’s ability to work, leading to more absenteeism, so treating the obesity may improve productivity.

 

Beyond Health: The Value of Weight Loss

“I love the idea of studying whether access to obesity medications helps people stay employed and do their job,” said Cristy Gallagher, associate director of Research and Policy at STOP Obesity Alliance at the Milken Institute School of Public Health, George Washington University, Washington, DC. The alliance includes more than 50 organizations advocating for adult obesity treatment.

“One of our big arguments is [that] access to care, and to obesity care, will also help other conditions — comorbidities like heart disease and diabetes.”

However, access to the anti-obesity medications, by itself, is not enough, Gallagher said. Other components, such as intensive behavioral therapy and guidance about diet and exercise, are needed, she said. So, too, for those who need it, is access to bariatric surgery, she said. And medication access should include other options besides the GLP-1s, she said. “Not every medication is right for everybody.”

Cawley, Gallagher, Thorpe, and Sexton Ward had no disclosures.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Atherosclerotic cardiovascular disease (ASCVD) risk is higher with cutaneous lupus erythematosus (CLE) or systemic lupus erythematosus (SLE) than with psoriasis.

METHODOLOGY:

• A retrospective matched longitudinal study compared the incidence and prevalence of ASCVD of 8138 individuals with CLE; 24,675 with SLE; 192,577 with psoriasis; and 81,380 control individuals.
• The disease-free control population was matched in a 10:1 ratio to the CLE population on the basis of age, sex, insurance type, and enrollment duration.
• Prevalent ASCVD was defined as coronary artery disease, prior myocardial infarction, or cerebrovascular accident, with ASCVD incidence assessed by number of hospitalizations over 3 years.

TAKEAWAY:

• Persons with CLE had higher ASCVD risk than control individuals (odds ratio [OR], 1.72; P < .001), similar to those with SLE (OR, 2.41; P < .001) but unlike those with psoriasis (OR, 1.03; P = .48).
• ASCVD incidence at 3 years was 24.8 per 1000 person-years for SLE, 15.2 per 1000 person-years for CLE, 14.0 per 1000 person-years for psoriasis, and 10.3 per 1000 person-years for controls.
• Multivariable Cox proportional regression modeling showed ASCVD risk was highest in those with SLE (hazard ratio [HR], 2.23; P < .001) vs CLE (HR, 1.32; P < .001) and psoriasis (HR, 1.06; P = .09).
• ASCVD prevalence was higher in individuals with CLE receiving systemic therapy (2.7%) than in those receiving no therapy (1.6%), suggesting a potential link between disease severity and CVD risk.

IN PRACTICE:

“Persons with CLE are at higher risk for ASCVD, and guidelines for the evaluation and management of ASCVD may improve their quality of care,” the authors wrote.

SOURCE:

The study was led by Henry W. Chen, MD, Department of Dermatology, University of Texas Southwestern Medical Center, Dallas. It was published online on December 4, 2024, in JAMA Dermatology.

LIMITATIONS: 

The study was limited by its relatively young population (median age, 49 years) and the exclusion of adults aged > 65 years on Medicare insurance plans. The database lacked race and ethnicity data, and the analysis was restricted to a shorter 3-year period. The study could not fully evaluate detailed risk factors such as blood pressure levels, cholesterol measurements, or glycemic control, nor could it accurately assess smoking status.

DISCLOSURES:

The research was supported by the Department of Dermatology at the University of Texas Southwestern Medical Center and a grant from the National Institutes of Health. Several authors reported receiving grants or personal fees from various pharmaceutical companies. One author reported being a deputy editor for diversity, equity, and inclusion at JAMA Cardiology. Additional disclosures are noted in the original article.

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

TOPLINE:

Atherosclerotic cardiovascular disease (ASCVD) risk is higher with cutaneous lupus erythematosus (CLE) or systemic lupus erythematosus (SLE) than with psoriasis.

METHODOLOGY:

• A retrospective matched longitudinal study compared the incidence and prevalence of ASCVD of 8138 individuals with CLE; 24,675 with SLE; 192,577 with psoriasis; and 81,380 control individuals.
• The disease-free control population was matched in a 10:1 ratio to the CLE population on the basis of age, sex, insurance type, and enrollment duration.
• Prevalent ASCVD was defined as coronary artery disease, prior myocardial infarction, or cerebrovascular accident, with ASCVD incidence assessed by number of hospitalizations over 3 years.

TAKEAWAY:

• Persons with CLE had higher ASCVD risk than control individuals (odds ratio [OR], 1.72; P < .001), similar to those with SLE (OR, 2.41; P < .001) but unlike those with psoriasis (OR, 1.03; P = .48).
• ASCVD incidence at 3 years was 24.8 per 1000 person-years for SLE, 15.2 per 1000 person-years for CLE, 14.0 per 1000 person-years for psoriasis, and 10.3 per 1000 person-years for controls.
• Multivariable Cox proportional regression modeling showed ASCVD risk was highest in those with SLE (hazard ratio [HR], 2.23; P < .001) vs CLE (HR, 1.32; P < .001) and psoriasis (HR, 1.06; P = .09).
• ASCVD prevalence was higher in individuals with CLE receiving systemic therapy (2.7%) than in those receiving no therapy (1.6%), suggesting a potential link between disease severity and CVD risk.

IN PRACTICE:

“Persons with CLE are at higher risk for ASCVD, and guidelines for the evaluation and management of ASCVD may improve their quality of care,” the authors wrote.

SOURCE:

The study was led by Henry W. Chen, MD, Department of Dermatology, University of Texas Southwestern Medical Center, Dallas. It was published online on December 4, 2024, in JAMA Dermatology.

LIMITATIONS: 

The study was limited by its relatively young population (median age, 49 years) and the exclusion of adults aged > 65 years on Medicare insurance plans. The database lacked race and ethnicity data, and the analysis was restricted to a shorter 3-year period. The study could not fully evaluate detailed risk factors such as blood pressure levels, cholesterol measurements, or glycemic control, nor could it accurately assess smoking status.

DISCLOSURES:

The research was supported by the Department of Dermatology at the University of Texas Southwestern Medical Center and a grant from the National Institutes of Health. Several authors reported receiving grants or personal fees from various pharmaceutical companies. One author reported being a deputy editor for diversity, equity, and inclusion at JAMA Cardiology. Additional disclosures are noted in the original article.

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

TOPLINE:

Atherosclerotic cardiovascular disease (ASCVD) risk is higher with cutaneous lupus erythematosus (CLE) or systemic lupus erythematosus (SLE) than with psoriasis.

METHODOLOGY:

• A retrospective matched longitudinal study compared the incidence and prevalence of ASCVD of 8138 individuals with CLE; 24,675 with SLE; 192,577 with psoriasis; and 81,380 control individuals.
• The disease-free control population was matched in a 10:1 ratio to the CLE population on the basis of age, sex, insurance type, and enrollment duration.
• Prevalent ASCVD was defined as coronary artery disease, prior myocardial infarction, or cerebrovascular accident, with ASCVD incidence assessed by number of hospitalizations over 3 years.

TAKEAWAY:

• Persons with CLE had higher ASCVD risk than control individuals (odds ratio [OR], 1.72; P < .001), similar to those with SLE (OR, 2.41; P < .001) but unlike those with psoriasis (OR, 1.03; P = .48).
• ASCVD incidence at 3 years was 24.8 per 1000 person-years for SLE, 15.2 per 1000 person-years for CLE, 14.0 per 1000 person-years for psoriasis, and 10.3 per 1000 person-years for controls.
• Multivariable Cox proportional regression modeling showed ASCVD risk was highest in those with SLE (hazard ratio [HR], 2.23; P < .001) vs CLE (HR, 1.32; P < .001) and psoriasis (HR, 1.06; P = .09).
• ASCVD prevalence was higher in individuals with CLE receiving systemic therapy (2.7%) than in those receiving no therapy (1.6%), suggesting a potential link between disease severity and CVD risk.

IN PRACTICE:

“Persons with CLE are at higher risk for ASCVD, and guidelines for the evaluation and management of ASCVD may improve their quality of care,” the authors wrote.

SOURCE:

The study was led by Henry W. Chen, MD, Department of Dermatology, University of Texas Southwestern Medical Center, Dallas. It was published online on December 4, 2024, in JAMA Dermatology.

LIMITATIONS: 

The study was limited by its relatively young population (median age, 49 years) and the exclusion of adults aged > 65 years on Medicare insurance plans. The database lacked race and ethnicity data, and the analysis was restricted to a shorter 3-year period. The study could not fully evaluate detailed risk factors such as blood pressure levels, cholesterol measurements, or glycemic control, nor could it accurately assess smoking status.

DISCLOSURES:

The research was supported by the Department of Dermatology at the University of Texas Southwestern Medical Center and a grant from the National Institutes of Health. Several authors reported receiving grants or personal fees from various pharmaceutical companies. One author reported being a deputy editor for diversity, equity, and inclusion at JAMA Cardiology. Additional disclosures are noted in the original article.

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

TOPLINE:

Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lipid-lowering drugs, were associated with a 22% lower risk for nonmelanoma skin cancer (NMSC) in patients with atherosclerotic cardiovascular disease (ASCVD), an effect that was particularly significant among men, those older than 65 years, and those with immunosuppression.

METHODOLOGY:

• To evaluate the risk for NMSC — basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) — in patients with ASCVD on PCSK9 inhibitors, researchers analyzed data from the US Collaborative Network in the TriNetX database of adults aged ≥ 40 years with ASCVD who received statin therapy between 2016 and 2022.
• A total of 73,636 patients were included, divided equally between those receiving a PCSK9 inhibitor (evolocumab, alirocumab, or inclisiran) plus statin therapy and the control group (those on statin therapy only).
• The analysis used propensity score matching for head-to-head comparisons, with hazard ratios (HRs) estimated using Cox proportional hazard models.
• Stratified analyses examined outcomes by age, sex, Fitzpatrick skin type, and immune status. (Immunosuppressed patients were those treated with immunosuppressants for more than 90 days in the year before the index date — the date when exposed patients were first prescribed a PCSK9 inhibitor, which was also index date for matched patients in the statin-only group.)

TAKEAWAY:

• Patients with ASCVD in the PCSK9 group showed significantly lower risks for NMSC (HR, 0.78; 95% CI, 0.71-0.87), BCC (HR, 0.78; 95% CI, 0.69-0.89), and SCC (HR, 0.79; 95% CI, 0.67-0.93) than control individuals on a statin only (P < .001 for all three).
• Both evolocumab and alirocumab demonstrated similar protective effects against the development of NMSC.
• The reduced risk for NMSC was particularly notable among patients aged 65-79 years (HR, 0.75; 95% CI, 0.66-0.86) and those aged ≥ 80 years (HR, 0.74; 95% CI, 0.60-0.91).
• Men showed a more pronounced reduction in the risk for NMSC (HR, 0.73; 95% CI, 0.64-0.83) than women (HR, 0.93; 95% CI, 0.78-1.11). The effect on lowering NMSC risk was also evident among immunosuppressed patients in the PCSK9 group (HR, 0.68; 95% CI, 0.60-0.75).

IN PRACTICE:

“The findings suggest the promising pleiotropic effect of PCSK9 inhibitors on the chemoprevention of NMSC,” the study authors wrote. Referring to previous studies that “provided mechanistic clues to our findings,” they added that “further studies are required to investigate the underlying mechanisms and establish causality.”

SOURCE:

The study was led by Cheng-Yuan Li, Taipei Veterans General Hospital, Taipei, Taiwan, and was published online in The British Journal of Dermatology.

LIMITATIONS:

Electronic health records lack information on sun protection habits, family history of skin cancer, diet, body mass index, and air pollution exposure, risk factors for NMSC. The study also lacked detailed information on enrollees’ lipid profiles and was focused mostly on patients in the United States, limiting the generalizability of the findings to other regions.

DISCLOSURES:

The study was supported by grants from Taipei Veterans General Hospital and the Ministry of Science and Technology, Taiwan. The authors reported no conflicts of interest.

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

TOPLINE:

Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lipid-lowering drugs, were associated with a 22% lower risk for nonmelanoma skin cancer (NMSC) in patients with atherosclerotic cardiovascular disease (ASCVD), an effect that was particularly significant among men, those older than 65 years, and those with immunosuppression.

METHODOLOGY:

• To evaluate the risk for NMSC — basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) — in patients with ASCVD on PCSK9 inhibitors, researchers analyzed data from the US Collaborative Network in the TriNetX database of adults aged ≥ 40 years with ASCVD who received statin therapy between 2016 and 2022.
• A total of 73,636 patients were included, divided equally between those receiving a PCSK9 inhibitor (evolocumab, alirocumab, or inclisiran) plus statin therapy and the control group (those on statin therapy only).
• The analysis used propensity score matching for head-to-head comparisons, with hazard ratios (HRs) estimated using Cox proportional hazard models.
• Stratified analyses examined outcomes by age, sex, Fitzpatrick skin type, and immune status. (Immunosuppressed patients were those treated with immunosuppressants for more than 90 days in the year before the index date — the date when exposed patients were first prescribed a PCSK9 inhibitor, which was also index date for matched patients in the statin-only group.)

TAKEAWAY:

• Patients with ASCVD in the PCSK9 group showed significantly lower risks for NMSC (HR, 0.78; 95% CI, 0.71-0.87), BCC (HR, 0.78; 95% CI, 0.69-0.89), and SCC (HR, 0.79; 95% CI, 0.67-0.93) than control individuals on a statin only (P < .001 for all three).
• Both evolocumab and alirocumab demonstrated similar protective effects against the development of NMSC.
• The reduced risk for NMSC was particularly notable among patients aged 65-79 years (HR, 0.75; 95% CI, 0.66-0.86) and those aged ≥ 80 years (HR, 0.74; 95% CI, 0.60-0.91).
• Men showed a more pronounced reduction in the risk for NMSC (HR, 0.73; 95% CI, 0.64-0.83) than women (HR, 0.93; 95% CI, 0.78-1.11). The effect on lowering NMSC risk was also evident among immunosuppressed patients in the PCSK9 group (HR, 0.68; 95% CI, 0.60-0.75).

IN PRACTICE:

“The findings suggest the promising pleiotropic effect of PCSK9 inhibitors on the chemoprevention of NMSC,” the study authors wrote. Referring to previous studies that “provided mechanistic clues to our findings,” they added that “further studies are required to investigate the underlying mechanisms and establish causality.”

SOURCE:

The study was led by Cheng-Yuan Li, Taipei Veterans General Hospital, Taipei, Taiwan, and was published online in The British Journal of Dermatology.

LIMITATIONS:

Electronic health records lack information on sun protection habits, family history of skin cancer, diet, body mass index, and air pollution exposure, risk factors for NMSC. The study also lacked detailed information on enrollees’ lipid profiles and was focused mostly on patients in the United States, limiting the generalizability of the findings to other regions.

DISCLOSURES:

The study was supported by grants from Taipei Veterans General Hospital and the Ministry of Science and Technology, Taiwan. The authors reported no conflicts of interest.

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

TOPLINE:

Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lipid-lowering drugs, were associated with a 22% lower risk for nonmelanoma skin cancer (NMSC) in patients with atherosclerotic cardiovascular disease (ASCVD), an effect that was particularly significant among men, those older than 65 years, and those with immunosuppression.

METHODOLOGY:

• To evaluate the risk for NMSC — basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) — in patients with ASCVD on PCSK9 inhibitors, researchers analyzed data from the US Collaborative Network in the TriNetX database of adults aged ≥ 40 years with ASCVD who received statin therapy between 2016 and 2022.
• A total of 73,636 patients were included, divided equally between those receiving a PCSK9 inhibitor (evolocumab, alirocumab, or inclisiran) plus statin therapy and the control group (those on statin therapy only).
• The analysis used propensity score matching for head-to-head comparisons, with hazard ratios (HRs) estimated using Cox proportional hazard models.
• Stratified analyses examined outcomes by age, sex, Fitzpatrick skin type, and immune status. (Immunosuppressed patients were those treated with immunosuppressants for more than 90 days in the year before the index date — the date when exposed patients were first prescribed a PCSK9 inhibitor, which was also index date for matched patients in the statin-only group.)

TAKEAWAY:

• Patients with ASCVD in the PCSK9 group showed significantly lower risks for NMSC (HR, 0.78; 95% CI, 0.71-0.87), BCC (HR, 0.78; 95% CI, 0.69-0.89), and SCC (HR, 0.79; 95% CI, 0.67-0.93) than control individuals on a statin only (P < .001 for all three).
• Both evolocumab and alirocumab demonstrated similar protective effects against the development of NMSC.
• The reduced risk for NMSC was particularly notable among patients aged 65-79 years (HR, 0.75; 95% CI, 0.66-0.86) and those aged ≥ 80 years (HR, 0.74; 95% CI, 0.60-0.91).
• Men showed a more pronounced reduction in the risk for NMSC (HR, 0.73; 95% CI, 0.64-0.83) than women (HR, 0.93; 95% CI, 0.78-1.11). The effect on lowering NMSC risk was also evident among immunosuppressed patients in the PCSK9 group (HR, 0.68; 95% CI, 0.60-0.75).

IN PRACTICE:

“The findings suggest the promising pleiotropic effect of PCSK9 inhibitors on the chemoprevention of NMSC,” the study authors wrote. Referring to previous studies that “provided mechanistic clues to our findings,” they added that “further studies are required to investigate the underlying mechanisms and establish causality.”

SOURCE:

The study was led by Cheng-Yuan Li, Taipei Veterans General Hospital, Taipei, Taiwan, and was published online in The British Journal of Dermatology.

LIMITATIONS:

Electronic health records lack information on sun protection habits, family history of skin cancer, diet, body mass index, and air pollution exposure, risk factors for NMSC. The study also lacked detailed information on enrollees’ lipid profiles and was focused mostly on patients in the United States, limiting the generalizability of the findings to other regions.

DISCLOSURES:

The study was supported by grants from Taipei Veterans General Hospital and the Ministry of Science and Technology, Taiwan. The authors reported no conflicts of interest.

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