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Comment & Response
September 2017

Cardiovascular Risk Prediction in Patients With Human Immunodeficiency Virus

Author Affiliations
  • 1Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, Alberta, Canada
  • 2HIV Epidemiology and Biostatistics Group, Research Department of Infection and Population Health, University College London Royal Free Campus, London, England
  • 3Metabolic Clinic, Infectious and Tropical Diseases Unit, Department of Medicine, University of Modena and Reggio Emilia, Modena, Italy
JAMA Cardiol. 2017;2(9):1048. doi:10.1001/jamacardio.2017.0667

To the Editor We read with interest the article by Feinstein et al1 in the February issue of JAMA Cardiology. Despite the well-known increased risk of cardiovascular disease in patients with human immunodeficiency virus (HIV), there do not seem to be good prediction models to accurately estimate risk. Feinstein et al1 noted that the accuracy of the prediction models may be particularly low in women and Hispanic individuals and that the equations may work best in patients at moderate to high risk. Furthermore, there was no evidence that adding HIV-specific risk factors to algorithms based on traditional risk factors, such as the Pooled Equations, increased the performance of these models.

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