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Published on: September 16, 2022
Predicting mortality risk using the PREVENT equation across diverse racial groups
Ofer Kobo, Martin K Rutter, Shivani Misra
1Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, David Weatherall Building, Keele, Staffordshire ST5 5BG, United Kingdom.
Insights
The PREVENT score accurately predicts cardiovascular risk and mortality across diverse racial and ethnic groups. This tool effectively identifies high-risk individuals, improving cardiovascular disease risk assessment for all populations.
Area of Science:
- Cardiovascular epidemiology
- Public health
- Biostatistics
Background:
- The PREVENT score is a modern cardiovascular risk assessment tool that excludes race, prompting concerns about its equitable performance.
- Validating risk prediction models across diverse populations is crucial for equitable healthcare.
Purpose of the Study:
- To validate the PREVENT cardiovascular risk equation across diverse racial and ethnic groups.
- To assess the association between PREVENT-estimated cardiovascular risk and long-term all-cause and cardiovascular mortality.
Main Methods:
- An observational cohort study utilized nationally representative data from the National Health and Nutrition Examination Survey (NHANES) linked with mortality data (2009-2018).
- A cohort of over 177 million US adults was analyzed, stratified by race and ethnicity.
- Cox proportional hazards models assessed the relationship between baseline cardiovascular risk and mortality.
Main Results:
- Significant variations in baseline cardiovascular risk were observed across racial and ethnic groups.
- Higher estimated cardiovascular risk was consistently associated with increased cardiovascular and all-cause mortality rates.
- Individuals at high risk had a 6-fold higher risk of all-cause mortality and a 9-fold higher risk of cardiovascular mortality compared to low-risk individuals.
Conclusions:
- The PREVENT score demonstrates validated performance across diverse racial and ethnic populations.
- The tool effectively predicts cardiovascular risk and mortality irrespective of race or ethnicity.
- Findings support the use of the PREVENT score for equitable cardiovascular risk assessment.
Objectives:
The Predicting Risk of CVD Events (PREVENT) score offers a contemporary tool for assessing cardiovascular risk without incorporating race, which has raised concerns about its performance across diverse racial and ethnic groups. We aimed to validate the performance of the PREVENT cardiovascular risk equation across diverse racial and ethnic groups and assess its association with long-term all-cause and cardiovascular mortality.
Study Design:
Observational cohort study using nationally representative data from the National Health and Nutrition Examination Survey (NHANES) linked with mortality data.
Methods:
Using 10-year data from the NHANES (2009-2018), we analyzed a cohort of more than 177 million adults in the US to evaluate the association between baseline cardiovascular risk, as determined by the PREVENT overall cardiovascular disease risk equation, and long-term all-cause and cardiovascular mortality across racial and ethnic groups. The cohort was stratified by race and ethnicity. We employed Cox proportional hazards models to assess the relationship between cardiovascular risk and mortality.
Results:
Our analysis revealed significant variations in baseline cardiovascular risk across racial and ethnic groups. Across all groups, there was a consistent incremental increase in both cardiovascular and all-cause mortality rates with higher estimated cardiovascular risk. During up to a decade of follow-up, we found that individuals at high risk had a 6-fold higher risk of all-cause mortality and a 9-fold higher risk of cardiovascular mortality compared with individuals at low cardiovascular risk. The association between cardiovascular risk and mortality remained consistent across all racial and ethnic groups, albeit with very different risk estimates. For every 5% increase in estimated 10-year cardiovascular risk, there was a 54% increase in all-cause mortality and a 57% increase in cardiovascular mortality.
Conclusions:
These study findings validate PREVENT scores across diverse racial and ethnic populations, highlighting the tool's effectiveness in predicting cardiovascular risk and mortality regardless of race or ethnicity.
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