Literature DB >> 10282990

A scoring system to identify men at high risk of a heart attack.

A G Shaper, S J Pocock, A N Phillips, M Walker.   

Abstract

A scoring system for identification of men at high risk of a heart attack within 5 years of screening is presented. The full scoring system includes an electrocardiogram and blood cholesterol measurement and the top fifth of the distribution of this full score yields 59% of the major ischaemic heart disease events occurring in the 5 years after screening. An intermediate scoring system, without an electrocardiogram but retaining blood cholesterol, yields 58% of cases from the top fifth of the score distribution. A basic (GP) score, without electrocardiogram or blood cholesterol measurement, yields 54% of cases and is recommended for use in opportunistic screening in general practice. This high risk strategy would increase public awareness of the size of the problem, help to prevent premature death and provide a useful complement to the population strategies of health education and government policy.

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Year:  1987        PMID: 10282990

Source DB:  PubMed          Journal:  Health Trends        ISSN: 0017-9132


  13 in total

1.  Cholesterol and coronary heart disease: screening and treatment.

Authors:  S Ebrahim; G D Smith; C McCabe; N Payne; M Pickin; T A Sheldon; F Lampe; F Sampson; S Ward; G Wannamthee
Journal:  Qual Health Care       Date:  1998-12

2.  Risk assessment in the prevention of coronary heart disease: a policy statement. Coronary Prevention Group.

Authors: 
Journal:  Br J Gen Pract       Date:  1990-11       Impact factor: 5.386

3.  An action plan for preventing coronary heart disease in primary care. Working Group of the Coronary Prevention Group and the British Heart Foundation.

Authors: 
Journal:  BMJ       Date:  1991-09-28

4.  Serum urate and the risk of major coronary heart disease events.

Authors:  S G Wannamethee; A G Shaper; P H Whincup
Journal:  Heart       Date:  1997-08       Impact factor: 5.994

5.  Use of ratings of perceived exertion for predicting maximal work rate and prescribing exercise intensity in patients taking atenolol.

Authors:  R G Eston; M Thompson
Journal:  Br J Sports Med       Date:  1997-06       Impact factor: 13.800

6.  The transformation of the probability of a heart fatality into a queue position.

Authors:  P Rivett; T Anglin; A Meyer
Journal:  Health Care Manag Sci       Date:  1998-10

7.  The Dundee coronary risk-disk for management of change in risk factors.

Authors:  H Tunstall-Pedoe
Journal:  BMJ       Date:  1991-09-28

8.  Risk factors for coronary heart disease: a study in inner London.

Authors:  V Taylor; J Robson; S Evans
Journal:  Br J Gen Pract       Date:  1992-09       Impact factor: 5.386

9.  Randomised controlled trial evaluating cardiovascular screening and intervention in general practice: principal results of British family heart study. Family Heart Study Group.

Authors: 
Journal:  BMJ       Date:  1994-01-29

10.  Prediction of mortality from coronary heart disease among diverse populations: is there a common predictive function?

Authors: 
Journal:  Heart       Date:  2002-09       Impact factor: 5.994

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