Prediction of hard cardiovascular events in HIV patients

Area of Science:

• Cardiology
• Infectious Diseases
• Public Health

Background:

• Cardiovascular disease (CVD) is a significant concern for individuals with HIV.
• Accurate risk prediction is crucial for managing CVD in this population.
• Existing general population algorithms may not fully capture CVD risk in HIV+ individuals.

Purpose of the Study:

• To evaluate the accuracy of general population risk prediction algorithms and an HIV-specific algorithm for hard cardiovascular events.
• To compare the performance of the pooled equation (PE) algorithm and the Framingham risk score (FRS) against the HIV-specific DAD algorithm.

Main Methods:

• A cohort of 2550 HIV-positive patients was followed for 17,337 patient-years.
• Myocardial infarctions and cardiovascular deaths were recorded as hard cardiovascular events.
• The performance of PE, FRS, and DAD algorithms was assessed using sensitivity, specificity, and predictive values.

Main Results:

• All algorithms demonstrated moderate predictive ability with high negative predictive values.
• PE and DAD algorithms identified more patients at low risk compared to FRS, showing a net reclassification improvement.
• There were 67 myocardial infarctions and 2 cardiovascular deaths recorded during follow-up.

Conclusions:

• The pooled equation (PE) and DAD algorithms offer improved identification of low-risk individuals in HIV+ populations.
• While predictive ability is modest, PE and DAD show potential for better cardiovascular risk stratification in HIV care.
• Further research may refine these algorithms for enhanced cardiovascular event prediction in HIV+ patients.