Literature DB >> 7621307

The prediction of coronary heart disease mortality as a function of major risk factors in over 30 000 men in the Italian RIFLE pooling Project. A comparison with the MRFIT primary screenees. The RIFLE research group.

A Menotti1, G Farchi, F Seccareccia.   

Abstract

BACKGROUND: Few risk functions for the prediction of coronary heart disease mortality have been produced in Italy. This study used a large population sample to evaluate the effect of major risk factors on coronary mortality.
METHODS: Coronary deaths in 45 cohorts of men (n = 31317, aged 30-69 years) were studied and related to selected cardiovascular risk factors.
RESULTS: After 6 years, 1089 men had died, of whom 239 were coronary fatalities. Univariate and multivariate (Cox model) analyses conducted on each age group (30-39, 40-49, 50-59, and 60-69 years) showed a positive association between coronary deaths and systolic blood pressure, serum cholesterol level and cigarette smoking, with few exceptions. A multiple logistic model was produced for men aged 35-57 years, assessing the role of age, serum cholesterol, cigarettes smoked per day and diastolic instead of systolic blood pressure, using the same endpoint as that employed in a similar model published from the analysis of MRFIT primary screenees in the USA to facilitate valid comparison. The coefficients in the present study were similar to those in the US cohort: no statistically significant differences could be detected when comparing the pairs of coefficients.
CONCLUSION: Coefficients relating cholesterol, blood pressure and cigarette smoking to coronary mortality in Italian men are similar to those in American men from the same age groups.

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Mesh:

Year:  1994        PMID: 7621307     DOI: 10.1177/174182679400100312

Source DB:  PubMed          Journal:  J Cardiovasc Risk        ISSN: 1350-6277


  5 in total

1.  Prediction of coronary heart disease mortality in Busselton, Western Australia: an evaluation of the Framingham, national health epidemiologic follow up study, and WHO ERICA risk scores.

Authors:  M W Knuiman; H T Vu
Journal:  J Epidemiol Community Health       Date:  1997-10       Impact factor: 3.710

2.  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

3.  Population health needs assessment and healthcare services use in a 3 years follow-up on administrative and clinical data: results from the Brisighella Heart Study.

Authors:  Arrigo F G Cicero; Martina Rosticci; Sergio D'Addato; Cristina Baronio; Giulia Grossi; Elisa Grandi; Claudio Borghi
Journal:  High Blood Press Cardiovasc Prev       Date:  2013-11-16

4.  Exclusion and inclusion of nonwhite ethnic minority groups in 72 North American and European cardiovascular cohort studies.

Authors:  Meghna Ranganathan; Raj Bhopal
Journal:  PLoS Med       Date:  2006-03       Impact factor: 11.069

5.  Could chronic Vardenafil administration influence the cardiovascular risk in men with type 2 diabetes mellitus?

Authors:  Daniele Santi; Michela Locaso; Antonio R Granata; Tommaso Trenti; Laura Roli; Chiara Pacchioni; Vincenzo Rochira; Cesare Carani; Manuela Simoni
Journal:  PLoS One       Date:  2018-06-28       Impact factor: 3.240

  5 in total

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