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Synapse
March 26, 2026AIDS1 citations

Estimating the degree of cardiovascular disease risk under-prediction in people living with HIV by existing risk models: an updated meta-analysis

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MKMichael KwokHDHari DandapaniNINouran Ibrahim

Key Points

  • The research aims to evaluate how existing cardiovascular disease risk models underpredict risk in individuals living with HIV.
  • Conducted a meta-analysis of existing cardiovascular disease risk models
  • Assessed calibration of PCE-10 and FRS-10 scores
  • Evaluated risk prediction specifically for people living with HIV
  • Confirmed underprediction of cardiovascular disease risk in people living with HIV
  • Notably, lower expected risk individuals were significantly affected
  • PCE-10 and FRS-10 demonstrated superior calibration compared to other models

Abstract

Extant risk scores underpredict CVD risk in PLHIV, especially for individuals with lower expected risk, suggesting a need for implementation of HIV-specific calibration factors in this population. PCE-10 and FRS-10 showed better calibration.

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Cite This Study

Kwok et al. (2026) studied this question.

synapsesocial.com/papers/69c4ccd6fdc3bde448918748https://doi.org/10.1097/qad.0000000000004492
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1General Cardiovascular Risk Profile for Use in Primary Care2008 · 7,613 citations
  2. 22013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk2013 · 4,989 citations
  3. 3Cardiovascular Risk Estimation Is Suboptimal in People With HIV2024 · 34 citations
  4. 4Pitavastatin to Prevent Cardiovascular Disease in HIV Infection2023 · 493 citations
  5. 5Cardiovascular Risk Prediction Functions Underestimate Risk in HIV Infection2018 · 237 citations