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Published on: October 12, 2017
Risk prediction-Homocysteine in Coronary Heart Disease
Rao B Harish1, V Govindaraju, C N Manjunath
1Dept of Biochemistry, Vijayanagar Institute of Medical Sciences, 583104 Bellary.
Insights
Homocysteine is a novel risk factor that significantly improves the prediction of Coronary Heart Disease (CHD) events. This biomarker shows higher accuracy than conventional risk factors, offering a more precise tool for risk assessment.
Area of Science:
- Cardiovascular Medicine
- Biochemistry
- Medical Diagnostics
Background:
- Conventional risk factors for atherosclerosis have limited accuracy in predicting Coronary Heart Disease (CHD) events.
- Many individuals without CHD events also exhibit conventional risk factors, necessitating new predictive markers.
- Novel risk factors, including homocysteine, Lp(a), and insulin resistance, are emerging for improved CHD risk prediction.
Purpose of the Study:
- To evaluate the predictive capability of homocysteine for CHD risk.
- To compare the accuracy of homocysteine against established conventional risk factors for CHD.
Main Methods:
- The study assessed homocysteine levels in patients.
- Conventional risk factors were also measured for comparison.
- Statistical analysis was performed to determine sensitivity, specificity, and predictive values.
Main Results:
- Homocysteine demonstrated high sensitivity, specificity, and accuracy in predicting CHD.
- The positive prediction value for homocysteine exceeded 90% in CHD patients.
- Homocysteine outperformed common conventional risk factors in predictive accuracy.
Conclusions:
- Homocysteine is a valuable novel risk factor for predicting CHD.
- Incorporating homocysteine into risk models can enhance diagnostic accuracy.
- Further research into novel risk factors like homocysteine is crucial for cardiovascular disease management.
Abstract:
Majority of patients who experience a Coronary Heart disease event have one or more of the conventional risk factors for atherosclerosis and so do many people who have not yet experienced such an event. Thus predictive models based on conventional risk factors have lower than the desired accuracy, providing a stimulus to search for new factors to predict accurately the risk of CHD. In this regard newer risk factors like homocysteine, Lp(a), insulin resistances are the important ones and are called as 'novel risk factors'. The study was undertaken to find the prediction of CHD risk by homocysteine in comparison with other conventional risk factors. The data obtained suggests a very high sensitivity, specificity and accuracy with above 90% positive prediction value for homocysteine in CHD patients when compared to commonest conventional risk factors.
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