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Risk prediction—Homocysteine in Coronary Heart Disease

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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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Authors and Affiliations

  1. Cardiology Sri Jayadeva Institute of Cardiology, Bangalore

    C. N. Manjunath

  2. Sanjay Gandhi Accident Hospital & Research Institute, Bangalore

    V. Govindaraju

  3. Dept of Biochemistry, Vijayanagar Institute of Medical Sciences, 583104, Bellary

    Harish Rao B

Authors
  1. Harish Rao B
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  2. V. Govindaraju
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  3. C. N. Manjunath
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Correspondence to Harish Rao B.

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Harish, R.B., Govindaraju, V. & Manjunath, C.N. Risk prediction—Homocysteine in Coronary Heart Disease. Indian J Clin Biochem 22, 18–21 (2007). https://doi.org/10.1007/BF02912875

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