Validation of the Framingham general cardiovascular risk score in a multiethnic Asian population: a retrospective

Yook Chin Chia1, Sarah Yu Weng Gray2, Siew Mooi Ching3

  • 1Department of Primary Care Medicine, Faculty of Medicine, University of Malaya Primary Care Research Group (UMPCRG), University of Malaya, Kuala Lumpur, Malaysia.

BMJ Open
|May 21, 2015
PubMed

Insights

The Framingham general cardiovascular disease (CVD) risk score shows moderate accuracy in a Malaysian primary care setting. It performs well for men and multiethnic groups, though it slightly overestimates risk in women.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Cardiovascular disease (CVD) risk prediction is crucial for primary prevention.
  • The Framingham general cardiovascular disease (CVD) risk score is widely used globally.
  • Validating risk prediction tools in diverse populations is essential.

Purpose of the Study:

  • To assess the accuracy of the Framingham general CVD risk score in a Malaysian primary care population.
  • To evaluate the score's performance across different ethnic groups and genders.

Main Methods:

  • A 10-year retrospective cohort study involving 967 patients from a Malaysian primary care clinic.
  • Collected baseline data included demographics, diabetes, smoking, blood pressure, and serum lipids.
  • Framingham CVD scores were calculated, and subsequent atherosclerotic CVD events were tracked.

Main Results:

  • The Framingham score demonstrated moderate discrimination (AUC 0.63) and good calibration (Hosmer-Lemeshow p=0.78).
  • Performance varied by gender, predicting accurately for men but overestimating for women.
  • The score showed good discrimination across Malay, Chinese, and Indian ethnic groups.

Conclusions:

  • The Framingham general CVD risk score is a reasonable tool for CVD risk prediction in a multiethnic primary care setting in Malaysia.
  • Adjustments may be needed for female patients due to potential overestimation.
  • Its use is recommended in the absence of locally developed risk prediction charts.
Abstract

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