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Optimizing Cardiovascular Risk Prediction in HIV

The objective of this study is to develop methods to accurately predict cardiovascular disease (CVD) risk for HIV patients. CVD risk is increased for HIV patients, yet accurate methods for risk prediction remain unclear. We will evaluate the performance of the Framingham Risk Score (FRS) and the ACC/AHA risk prediction algorithm among HIV patients and generate new CVD risk prediction algorithms incorporating HIV and HIV-related factors to assess whether risk prediction can be improved for this population. The HIV-specific CVD risk prediction algorithms will be generated in collaboration with Framingham Heart Study investigators using an HIV clinical care cohort from the Partners HealthCare System and will be externally validated using the Kaiser Permanente Northern California (KPNC) HIV cohort. The ability to accurately risk-stratify HIV patients will ensure that the highest risk patients receive appropriate treatment and will directly impact long-term HIV care strategies.

Investigator: Silverberg, Michael

Funder: National Heart, Lung, and Blood Institute

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