Epidemiology of ischemic heart disease in HIV

Virginia A Triant1, Steven K Grinspoon

  • 1aDivision of General Internal Medicine bDivision of Infectious Diseases cProgram in Nutritional Metabolism, Massachusetts General Hospital, Boston, Massachusetts, USA.

Insights

People with HIV have a 1.5 to two-fold higher risk of ischemic heart disease (IHD). Management requires addressing both traditional and HIV-specific factors for better long-term health outcomes.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Public Health

Background:

  • Cardiovascular disease (CVD) is increasingly impacting morbidity and mortality in individuals with HIV, surpassing AIDS-related diagnoses.
  • HIV infection confers a 1.5 to two-fold increased risk of ischemic heart disease (IHD), influenced by sex and disease status.

Purpose of the Study:

  • To synthesize recent data on the risk of ischemic heart disease (IHD) in individuals with HIV.
  • To highlight the evolving landscape of CVD risk in the context of HIV infection.

Main Methods:

  • Literature review and synthesis of recent studies on IHD risk in HIV-infected populations.
  • Analysis of identified risk factors, including traditional CVD factors and HIV-specific elements like inflammation and immune activation.

Main Results:

  • HIV-associated IHD risk is significant, with variations based on sex and virologic/immunologic status.
  • Both traditional CVD risk factors and HIV-specific factors (inflammation, immune activation) contribute to increased risk.
  • While some antiretroviral therapies (ART) may pose CVD risks, viral suppression through ART generally benefits CVD risk.
  • Current CVD prevention strategies for the general population are insufficient for HIV-infected individuals.

Conclusions:

  • Elevated IHD risk presents a major clinical and public health challenge for the growing population of individuals with HIV.
  • Developing and implementing HIV-specific interventions for CVD risk management is crucial for improving long-term health outcomes.
  • Tailored CVD risk prediction algorithms and interventions are under active investigation to mitigate risks in this population.
Abstract

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