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Published on: October 12, 2017
Homocysteine and reclassification of cardiovascular disease risk
Vikas Veeranna1, Sandip K Zalawadiya, Ashutosh Niraj
1Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, MI 48201, USA.
Insights
Adding homocysteine (Hcy) to cardiovascular disease (CVD) risk models significantly improves risk prediction, particularly for intermediate-risk individuals. This enhanced accuracy aids in better identifying those needing preventative strategies for heart disease.
Area of Science:
- Cardiovascular Disease Research
- Biomarker Analysis
- Risk Prediction Modeling
Background:
- Existing cardiovascular disease (CVD) risk models lack comprehensive risk stratification.
- The role of homocysteine (Hcy) in refining CVD risk classification requires further investigation.
Purpose of the Study:
- To evaluate if incorporating homocysteine (Hcy) levels enhances the risk classification accuracy of traditional cardiovascular disease (CVD) risk factors.
- To assess the utility of Hcy in reclassifying individuals into different risk categories.
Main Methods:
- Post hoc analysis of MESA and NHANES III datasets.
- Utilized Cox-proportional hazard analysis to assess Hcy's predictive value for CVD and coronary heart disease (CHD) events/mortality.
- Employed net reclassification improvement (NRI) index to quantify risk reclassification with and without Hcy in the Framingham risk score (FRS) model.
Main Results:
- Elevated Hcy levels (>15 μmol/l) significantly predicted CVD and CHD events/mortality in both MESA and NHANES III cohorts, even after adjusting for traditional risk factors.
- Adding Hcy to the FRS model significantly reclassified a notable percentage of the overall and intermediate-risk populations.
- Net reclassification improvement (NRI) demonstrated significant reclassification in both study datasets.
Conclusions:
- Homocysteine (Hcy) significantly improves cardiovascular disease (CVD) risk prediction when added to the Framingham risk score (FRS).
- The addition of Hcy is particularly beneficial for individuals at intermediate risk for coronary heart disease (CHD) events.
Objectives:
The purpose of this study was to examine whether adding homocysteine (Hcy) to a model based on traditional cardiovascular disease (CVD) risk factors improves risk classification.
Background:
Data on using Hcy to reclassify individuals in various risk categories beyond traditional approaches have not been adequately scrutinized.
Methods:
We performed a post hoc analysis of the MESA (Multi-Ethnic Study of Atherosclerosis) and NHANES III (National Health and Nutrition Examination Survey III) datasets. Hcy was used to predict composite CVD and hard coronary heart disease (CHD) events in the MESA study and CVD and CHD mortality in the NHANES III survey using adjusted Cox-proportional hazard analysis. Reclassification of CHD events was performed using a net reclassification improvement (NRI) index with a Framingham risk score (FRS) model with and without Hcy.
Results:
Hcy level (>15 μmol/l) significantly predicted CVD (adjusted hazard ratio [aHR]: 1.79, 95% confidence intervals [CI]: 1.19 to 1.95; p = 0.006) and CHD events (aHR: 2.22, 95% CI: 1.20 to 4.09; p = 0.01) in the MESA trial and CVD (aHR: 2.72, 95% CI: 2.01 to 3.68; p < 0.001) and CHD mortality (aHR: 2.61, 95% CI: 1.83 to 3.73; p < 0.001) in the NHANES III, after adjustments for traditional risk factors and C-reactive protein. The level of Hcy, when added to FRS, significantly reclassified 12.9% and 18.3% of the overall and 21.2% and 19.2% of the intermediate-risk population from the MESA and NHANES cohorts, respectively. The categoryless NRI also showed significant reclassification in both MESA (NRI: 0.35, 95% CI: 0.17 to 0.53; p < 0.001) and NHANES III (NRI: 0.57, 95% CI: 0.43 to 0.71; p < 0.001) datasets.
Conclusions:
From these 2 disparate population cohorts, we found that addition of Hcy level to FRS significantly improved risk prediction, especially in individuals at intermediate risk for CHD events.
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