Literature DB >> 10627887

Prediction of coronary risk for primary prevention of coronary heart disease: a comparison of methods.

I U Haq1, L E Ramsay, P R Jackson, E J Wallis.   

Abstract

Most recent guidelines advise targeting of lipid lowering for primary prevention at those at high absolute coronary (CHD) risk. We compared the accuracy of five CHD risk assessment methods in identifying such patients: one based on total cholesterol > or = 6.5 mmol/l plus two risk factors, and four based on the Framingham risk function (the European Task Force chart and Sheffield table, both using total cholesterol and the New Zealand chart and modified Sheffield table, both using total: HDL cholesterol ratio) for predicting CHD event risk > or = 2% per year, calculated by an independent risk function, PROCAM, in 126 treated hypertensive men. Cholesterol threshold plus two risk factors had sensitivity 59% and specificity 63%, did not identify some very high-risk patients, and identified very low-risk patients. Framingham-based methods using total cholesterol alone had sensitivity 90-98% and specificity 37-43%, and identified high-risk patients well, but identified some patients at very low risk. Methods based on total: HDL cholesterol ratio had sensitivity 90-98% and specificity 60-63%, and did not identify incorrectly patients at very low CHD risk. Methods based on cholesterol threshold and counting of risk factors are too inaccurate for targeting drug therapy for primary prevention of CHD. Framingham-based methods should incorporate HDL-cholesterol as the total: HDL cholesterol ratio.

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Year:  1999        PMID: 10627887     DOI: 10.1093/qjmed/92.7.379

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


  7 in total

1.  Coronary and cardiovascular risk estimation for primary prevention: validation of a new Sheffield table in the 1995 Scottish health survey population.

Authors:  E J Wallis; L E Ramsay; I Ul Haq; P Ghahramani; P R Jackson; K Rowland-Yeo; W W Yeo
Journal:  BMJ       Date:  2000-03-11

2.  Comparative evaluation of the new Sheffield table and the modified joint British societies coronary risk prediction chart against a laboratory based risk score calculation.

Authors:  K S Rabindranath; N R Anderson; R Gama; M R Holland
Journal:  Postgrad Med J       Date:  2002-05       Impact factor: 2.401

3.  Can non-physician health-care workers assess and manage cardiovascular risk in primary care?

Authors:  Dele O Abegunde; Bakuti Shengelia; Anne Luyten; Alexandra Cameron; Francesca Celletti; Sania Nishtar; Vasu Pandurangi; Shanthi Mendis
Journal:  Bull World Health Organ       Date:  2007-06       Impact factor: 9.408

4.  The Framingham Heart Study's impact on global risk assessment.

Authors:  Asaf Bitton; Thomas A Gaziano
Journal:  Prog Cardiovasc Dis       Date:  2010 Jul-Aug       Impact factor: 8.194

5.  Population implications of lipid lowering for prevention of coronary heart disease: data from the 1995 Scottish health survey.

Authors:  I U Haq; L E Ramsay; E J Wallis; C G Isles; L D Ritchie; P R Jackson
Journal:  Heart       Date:  2001-09       Impact factor: 5.994

6.  Aspirin for primary prevention of coronary heart disease: safety and absolute benefit related to coronary risk derived from meta-analysis of randomised trials.

Authors:  P S Sanmuganathan; P Ghahramani; P R Jackson; E J Wallis; L E Ramsay
Journal:  Heart       Date:  2001-03       Impact factor: 5.994

7.  Association of abdominal muscle area and density with glucose regulation: The multi-ethnic study of atherosclerosis (MESA).

Authors:  Rebecca S Gold; Jonathan T Unkart; Britta A Larsen; Candice A Price; Mallory Cless; Maria Rosario G Araneta; Matthew A Allison
Journal:  Diabetes Metab Res Rev       Date:  2021-08-13       Impact factor: 8.128

  7 in total

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