Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally, posing a particularly significant threat to people with HIV (PWH). To address this, CVD prevention plans rely on prediction models like atherosclerotic cardiovascular disease (ASCVD) risk scores to estimate the risk of heart disease.
However, previous studies have called into question whether these commonly used prediction models perform well among people with HIV, and there remains a gap in understanding of what these scores mean for PWH in low- and middle-income countries (LMICs).
Researchers from Massachusetts General Hospital , a founding member of the Mass General Brigham healthcare system, in collaboration with an international team of investigators, conducted a study to evaluate how well existing ASCVD risk estimates could be used to predict cardiovascular outcomes in global populations with HIV. Their findings are published in Lancet HIV.
Their prospective cohort study used data from Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) to analyze individuals with HIV who were from low-, middle-, and high-income countries across several continents. The researchers found that for those in REPRIEVE, current risk models underestimated cardiovascular events in both women and black men in high income countries (HICs), while overestimating cardiovascular events for all PWH in LMICs.
"These findings allow researchers to fine-tune cardiovascular disease prediction models for people living with HIV," said Patrice Desvigne-Nickens, MD, a medical officer within the National Heart, Lung, and Blood Institute (NHLBI). "Assessing the accuracy of these predictions in subgroups of the population is possible because of carefully developed outreach and enrolling a diverse study population – representing all people at risk."
Steven Grinspoon, MD, a co-lead study author and chief of the Massachusetts General Hospital Metabolism Unit in the Endocrinology Division of the Department of Medicine, agrees. "This study underscores the need for nuanced, region-specific and population-specific CVD prediction models that accurately reflect cardiovascular risk for PWH, including those living in LMICs," he explained.
"Our team calculated correction factors for the underestimates, with future work needed to validate these values in an external cohort. We anticipate that experts on guideline committees will recognize our findings and may consider stronger treatment recommendations for women and black or African American men living with HIV in HICs," said co-lead author Markella Zanni, MD, director of Women's Health Research in the Metabolism Unit at Massachusetts General Hospital.