Literature DB >> 21450663

Predicting CHD risk in France: a pooled analysis of the D.E.S.I.R., Three City, PRIME, and SU.VI.MAX studies.

J P Empana1, M Tafflet, S Escolano, A C Vergnaux, S Bineau, J B Ruidavets, M Montaye, B Haas, S Czernichow, B Balkau, P Ducimetiere.   

Abstract

BACKGROUND: We aimed to develop and validate a simple coronary heart disease (CHD) risk algorithm applicable to asymptomatic men and women in France, and to compare its accuracy with that of the last published version of the Framingham risk function for cardiovascular disease.
DESIGN: A pooled analysis of four French prospective general-population studies.
METHODS: The baseline and follow-up data from D.E.S.I.R., PRIME, Three City, and SU.VI.MAX studies were used. The 10-year CHD risk was estimated by the Cox proportional hazards model with candidate variables including age, gender, body mass index, waist circumference, family history of coronary heart disease, smoking status, diabetes status, systolic blood pressure, and total and high-density lipoprotein (HDL) cholesterol.
RESULTS: The study population included 22,256 subjects (61.4% men) aged (SD) 56.0 years (8.3) without a personal history of CHD at baseline. After a mean follow-up of 8.0 years (2.3), 788 first CHD events occurred, 726 in men and 62 in women. The final model included age, gender, age × gender interaction, current smoking status, diabetes status, systolic blood pressure, total and HDL cholesterol. Using this model, the number of predicted coronary events fitted that given by the 10-year Kaplan-Meier survival estimates within each decile of estimated risk (calibration). This model had fair discrimination: Harrell C-index, 0.7831 (95% CI: 0.7704-0.7957). For comparison, the recalibrated Framingham risk function had equivalent performances compared to the French risk equation.
CONCLUSION: Our 10-year French CHD risk equation based on traditional risk factors performed at least as well as the recalibrated Framingham cardiovascular disease risk function.

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Year:  2011        PMID: 21450663     DOI: 10.1177/1741826710389354

Source DB:  PubMed          Journal:  Eur J Cardiovasc Prev Rehabil        ISSN: 1741-8267


  5 in total

1.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

Review 2.  Prediction models for risk classification in cardiovascular disease.

Authors:  Mario Petretta; Alberto Cuocolo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-03       Impact factor: 9.236

3.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson
Journal:  J Am Coll Cardiol       Date:  2013-11-12       Impact factor: 24.094

4.  A coronary heart disease prediction model: the Korean Heart Study.

Authors:  Sun Ha Jee; Yangsoo Jang; Dong Joo Oh; Byung-Hee Oh; Sang Hoon Lee; Seong-Wook Park; Ki-Bae Seung; Yejin Mok; Keum Ji Jung; Heejin Kimm; Young Duk Yun; Soo Jin Baek; Duk Chul Lee; Sung Hee Choi; Moon Jong Kim; Jidong Sung; BeLong Cho; Eung Soo Kim; Byung-Yeon Yu; Tae-Yong Lee; Jong Sung Kim; Yong-Jin Lee; Jang-Kyun Oh; Sung Hi Kim; Jong-Ku Park; Sang Baek Koh; Sat Byul Park; Soon Young Lee; Cheol-In Yoo; Moon Chan Kim; Hong-Kyu Kim; Joo-Sung Park; Hyeon Chang Kim; Gyu Jang Lee; Mark Woodward
Journal:  BMJ Open       Date:  2014-05-21       Impact factor: 2.692

5.  Identification of effective screening strategies for cardiovascular disease prevention in a developing country: using cardiovascular risk-estimation and risk-reduction tools for policy recommendations.

Authors:  Sharmini Selvarajah; Jamaiyah Haniff; Gurpreet Kaur; Tee Guat Hiong; Adam Bujang; Kee Chee Cheong; Michiel L Bots
Journal:  BMC Cardiovasc Disord       Date:  2013-02-25       Impact factor: 2.298

  5 in total

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