Related Experiment Video
Updated: Feb 4, 2026

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population
Tarundeep Singh1, Manju Pilania2, Gopal Singh Jat1
1Department of Community Medicine, School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Insights
Cardiovascular disease (CVD) risk scores from WHO/ISH and Framingham Risk Score (FRS) showed good agreement in India. However, significant differences in high-risk predictions highlight the need for local validation of CVD risk tools.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Non-laboratory cardiovascular disease (CVD) risk scoring tools are crucial for resource-limited settings.
- Performance of existing CVD risk tools needs validation in diverse populations, specifically the Indian population.
- This study evaluates the World Health Organization (WHO)/International Society for Hypertension (ISH) risk prediction chart and the Framingham Risk Score (FRS) calculator in an Indian context.
Purpose of the Study:
- To assess and compare the performance of the WHO/ISH risk prediction chart and the FRS calculator for 10-year cardiovascular event risk in an Indian population.
- To determine the agreement between these two widely used, non-laboratory based CVD risk assessment tools.
- To inform the judicious use of resources in Indian healthcare settings for CVD risk stratification.
Main Methods:
- A cross-sectional study involving 283 participants aged 30-74 years in rural Punjab, India.
- Utilized the non-laboratory based WHO/ISH risk prediction chart (South-East Asia Region) and the FRS calculator to estimate 10-year CVD risk.
- Employed Chi-square test for trend and quadratic weighted kappa for statistical analysis of agreement.
Main Results:
- The study included 67.1% females with a mean age of 52.1 years.
- WHO/ISH identified 11.3% high and 4.9% very high CVD risk, while FRS predicted 13.8% high and 12.0% very high risk.
- A good level of agreement (67.8%) was observed between the WHO/ISH chart and the FRS calculator.
Conclusions:
- Despite good overall agreement, significant discrepancies exist in the proportion of individuals classified as high or very high risk by the WHO/ISH chart and FRS calculator.
- The findings underscore the necessity of validating CVD risk prediction tools for the local Indian population.
- Prospective cohort studies are recommended to ensure accurate and resource-efficient CVD risk assessment in India.
Background:
Several nonlaboratory based cardiovascular disease (CVD) risk scoring tools are available for resource-limited settings, but the performance of these tools remains to be established in Indian population. This study aimed to assess and compare the performance of the World Health Organization (WHO)/International Society for Hypertension (ISH) risk prediction chart and the Framingham Risk Score (FRS) calculator in an Indian setting.
Materials And Methods:
This cross-sectional study was carried out among 283 participants aged 30-74 years who attended screening camps in the rural area of Punjab from October to December 2015. Nonlaboratory-based WHO/ISH risk prediction chart for South-East Asia Region and FRS calculator was used to assess the 10-year risk of cardiovascular event. Chi-square test for trend and quadratic weighted kappa were used for analysis.
Results:
Of total participants, 67.1% were female. Mean age of the study participants was 52.1 (standard deviation ± 11.6) years. Using the WHO/ISH risk prediction chart, 11.3% and 4.9% of the participants were found to have high and very high risk, respectively, whereas, FRS calculator predicted high risk in 13.8% and very high risk in 12.0% for developing CVD in next 10 years. Agreement level between two risk prediction tools was good (67.8%).
Conclusion:
Although the good agreement was seen between WHO/ISH risk prediction chart and FRS calculator, the proportions of participants having a high and very high risk of CVD identified by these risk prediction tools are significantly different. In resource constraint setting like India, CVD risk prediction tools should be validated for local population by prospective cohort studies to ensure judicious use of resources.
More Related Videos
10:11Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies
Published on: October 22, 2014
07:51Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Related Concept Videos
The Evidence for Evolution
Conservation of Small Populations
What is Population Genetics?
Population Growth
What is Natural Selection?
Relative Risk