Comparison of different cardiovascular risk score calculators for cardiovascular risk prediction and guideline

Naveen Garg1, Subrat K Muduli1, Aditya Kapoor1

  • 1Department of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.

Indian Heart Journal
|August 21, 2017
PubMed

Insights

The Framingham Risk Score-Cardiovascular Disease (FRS-CVD) calculator best assesses cardiovascular disease (CVD) risk in Indians. For statin eligibility, the NICE guideline is most appropriate for this population.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Cardiovascular disease (CVD) risk calculators may exhibit varying accuracy in Indian populations compared to others.
  • Accurate CVD risk assessment is crucial for preventive strategies, including statin therapy.

Purpose of the Study:

  • To compare the performance of multiple CVD risk calculators in an Indian cohort.
  • To evaluate statin eligibility based on different international guidelines in Indian patients post-myocardial infarction.

Main Methods:

  • 1110 patients with a first myocardial infarction were analyzed.
  • CVD risk was calculated using Framingham Risk score-Coronary heart disease (FRS-CHD), Framingham Risk Score-Cardiovascular Disease (FRS-CVD), QRISK2, Joint British Society risk calculator 3 (JBS3), American College of Cardiology/American Heart Association (ACC/AHA), atherosclerotic cardiovascular disease (ASCVD), and WHO risk charts.
  • Statin eligibility was assessed using ACC/AHA, NICE, and Canadian guidelines.

Main Results:

  • FRS-CVD identified the highest proportion of patients at high CVD risk (51.9%), while WHO and ASCVD performed poorly.
  • QRISK2, JBS3, and FRS-CHD showed intermediate performance.
  • Statin eligibility varied significantly by guideline: NICE (76%), ACC/AHA (69%), and Canadian (44.6%).

Conclusions:

  • FRS-CVD is recommended for CVD risk assessment in Indians, potentially due to its broader outcome prediction.
  • The NICE guideline is deemed most appropriate for determining statin eligibility in this population.
Abstract

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