Distinct Inflammatory Phenotypes are associated with subclinical and clinical Cardiovascular disease in People living with HIV.

Despite inflammation being implicated in cardiovascular disease (CVD) in people with HIV (PWH), considerable heterogeneity within populations of PWH exists. Stratifying CVD risk based on inflammatory phenotype could play an important role. Using principal component analyses and unsupervised hierarchical clustering, we examined 38 biomarkers to identify inflammatory phenotypes in two independent cohorts of PWH. We identified three distinct inflammatory clusters present in both cohorts that associated with altered risk of both subclinical CVD (cohort 1) and prevalent clinical CVD (cohort 2) after adjusting for CVD risk factors. These data support precision medicine approaches to enhance CVD risk assessment in PWH.