Construction of an odds model of coronary heart disease using published information: The Cardiovascular Health Improvement Model (CHIME)

BMC Medical Informatics and Decision Making

Volumn 8, Issue , 2008, Pages

  Martin, Christopher J ^a   Taylor, Paul ^a   Potts, Henry W W ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APOLIPOPROTEIN A1; APOLIPOPROTEIN B; CHOLESTEROL; HIGH DENSITY LIPOPROTEIN;

ALCOHOL CONSUMPTION; ARTICLE; BODY MASS; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; DIABETES MELLITUS; ETHNIC GROUP; EXERCISE; FAMILY HISTORY; FOOD INTAKE; FRUIT; GENDER; HEALTH SURVEY; HYPERTENSION; ISCHEMIC HEART DISEASE; LIFESTYLE; LIPOPROTEIN BLOOD LEVEL; MENTAL HEALTH; MENTAL STRESS; METHODOLOGY; MORTALITY; OBESITY; PREVALENCE; PREVENTION; RISK ASSESSMENT; SMOKING; SYSTOLIC BLOOD PRESSURE; UNITED KINGDOM; VEGETABLE; WAIST HIP RATIO; BIOLOGICAL MODEL; CORONARY ARTERY DISEASE; HUMAN; MALE; MIDDLE AGED; NORMAL DISTRIBUTION; RISK; RISK FACTOR; STATISTICAL MODEL;

CORONARY DISEASE; ENGLAND; HUMANS; LIFE STYLE; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; NORMAL DISTRIBUTION; ODDS RATIO; RISK FACTORS; WALES;

EID: 57649121676     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-8-49     Document Type: Article

References (33)

1. Is the pharmacological treatment of mild to moderate hypertension cost effective in stroke prevention? LA Malcolm I Kawachi R Jackson R Bonita, N Z Med J 1988 101 167 171 3128747
2. Cost effectiveness analysis of different approaches of screening for familial hypercholesterolaemia. D Marks D Wonderling M Thorogood H Lambert SE Humphries HA Neil, BMJ 2002 324 1303 12039822 10.1136/bmj.324.7349.1303
3. British Hypertension Society guidelines for hypertension management 2004 (BHS-IV): summary. B Williams NR Poulter MJ Brown M Davis GT McInnes JF Potter PS Sever SM Thom, BMJ 2004 328 634 640 15016698 10.1136/bmj.328.7440.634
4. JBS 2: Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practice. by Prepared, Heart 2005 91 v1 52 10.1136/hrt.2005.079988 16365341
5. A Edwards G Elwyn, Evidence-based patient choice: inevitable or impossible? Oxford: Oxford University Press 1 2001
6. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. RM Conroy K Pyorala AP Fitzgerald S Sans A Menotti G De Backer D De Bacquer P Ducimetiere P Jousilahti U Keil I Njolstad RG Oganov T Thomsen H Tunstall-Pedoe A Tverdal H Wedel P Whincup L Wilhelmsen IM Graham, Eur Heart J 2003 24 987 1003 10.1016/S0195-668X(03)00114-3 12788299
7. Cardiovascular disease risk profiles. KM Anderson PM Odell PW Wilson WB Kannel, Am Heart J 1991 121 293 298 10.1016/0002-8703(91)90861-B 1985385
8. Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the prospective cardiovascular Munster (PROCAM) study. G Assmann P Cullen H Schulte, Circulation 2002 105 310 315 10.1161/hc0302.102575 11804985
9. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study. J Hippisley-Cox C Coupland Y Vinogradova J Robson M May P Brindle, BMJ 2007 335 136 17615182 10.1136/bmj.39261.471806.55
10. Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC). M Woodward P Brindle H Tunstall-Pedoe, Heart 2007 93 172 176 10.1136/hrt.2006.108167 17090561
11. Primary prevention of cardiovascular disease: a web- based risk score for seven british black and minority ethnic groups. P Brindle M May PS Gill F Cappuccio R D'Agostino Snr C Fischbacher SBJ Ebrahim, Heart, hrt 2006
12. Primary and subsequent coronary risk appraisal: new results from the Framingham study. RB D'Agostino MW Russell DM Huse RC Ellison H Silbershatz PW Wilson SC Hartz, Am Heart J 2000 139 272 281 10.1067/mhj.2000.96469 10650300
13. Prediction of coronary events in a low incidence population. Assessing accuracy of the CUORE Cohort Study prediction equation. M Ferrario P Chiodini LE Chambless G Cesana D Vanuzzo S Panico R Sega L Pilotto L Palmieri S Giampaoli, Int J Epidemiol 2005 34 413 421 10.1093/ije/dyh405 15659467
14. Comparison of the Framingham risk function-based coronary chart with risk function from an Italian population study. A Menotti PE Puddu M Lanti, Eur Heart J 2000 21 365 370 10.1053/euhj.1999.1864 10666350
15. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. RB D'Agostino Sr S Grundy LM Sullivan P Wilson, JAMA 2001 286 180 187 10.1001/jama.286.2.180 11448281
16. Volume 2: Risk factors for cardivoascular disease. 13. K Sproston P Primatesta, The Stationery Office. Health Survey for England 2004 15724884
17. Volume 1: Cardiovascular disease. 13. K Sproston P Primatesta, The Stationery Office. Health Survey for England 2004 15724884
18. The ability of the SCORE high-risk model to predict 10-year cardiovascular disease mortality in Norway. AS Lindman MB Veierod JI Pedersen A Tverdal I Njolstad R Selmer, Eur J Cardiovasc Prev Rehabil 2007 14 501 507 10.1097/HJR.0b013e328011490a 17667638
19. D Kleinbaum M Klein, Survival Analysis. New York: Springer 2005
20. Mortality Statistics: Review of the Registrar General on deaths by cause, sex and age in England and Wales, 2003. Office for National Statistics, London, HMSO 2005 DH2 no.30
21. Hazards, risks, and threats of heart disease from the early stages to symptomatic coronary heart disease and cardiac failure. WB Kannel, Cardiovasc Drugs Ther 1997 11 Suppl 1 199 212 10.1023/A:1007792820944 9211012
22. HISTOSPLINE METHOD IN NONPARAMETRIC REGRESSION MODELS WITH APPLICATION TO CLUSTERED/LONGITUDINAL DATA. R Carroll P Hall T Apanasovich X Lin, Statistica Sinica 2004 14 633 658
23. Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. P Royston DG Altman, Applied Statistics 1994 43 429 467 10.2307/2986270
24. Über empirische Funktionen und die Interpolation zwischen äquidistanten Ordinaten. C Runge, Zeit Math Phys 1901 46 224 243
25. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. S Yusuf S Hawken S Ounpuu T Dans A Avezum F Lanas M McQueen A Budaj P Pais J Varigos L Lisheng, Lancet 2004 364 937 952 10.1016/S0140-6736(04)17018-9 15364185
26. Errors that result from using the TC/HDL C ratio rather than the apoB/apoA-I ratio to identify the lipoprotein-related risk of vascular disease. AD Sniderman I Jungner I Holme A Aastveit G Walldius, J Intern Med 2006 259 455 461 10.1111/j.1365-2796.2006.01649.x 16629851
27. Prevention of cardiovascular events with an antihypertensive regimen of amlodipine adding perindopril as required versus atenolol adding bendroflumethiazide as required, in the Anglo-Scandinavian Cardiac Outcomes Trial-Blood Pressure Lowering Arm (ASCOT-BPLA): a multicentre randomised controlled trial. B Dahlof PS Sever NR Poulter H Wedel DG Beevers M Caulfield R Collins SE Kjeldsen A Kristinsson GT McInnes J Mehlsen M Nieminen E O'Brien J Ostergren, Lancet 2005 366 895 906 10.1016/S0140-6736(05)67185-1 16154016
28. Accuracy of telemedical home blood pressure measurement in the diagnosis of hypertension. DS Moller A Dideriksen S Sorensen LD Madsen EB Pedersen, J Hum Hypertens 2003 17 549 554 10.1038/sj.jhh.1001584 12874612
29. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. S Yusuf S Hawken S Ounpuu L Bautista MG Franzosi P Commerford CC Lang Z Rumboldt CL Onen L Lisheng S Tanomsup P Wangai Jr F Razak AM Sharma SS Anand, Lancet 2005 366 1640 1649 10.1016/S0140-6736(05) 67663-5 16271645
30. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. S Lewington R Clarke N Qizilbash R Peto R Collins, Lancet 2002 360 1903 1913 10.1016/S0140-6736(02)11911-8 12493255
31. Description and validation of a Markov model of survival for individuals free of cardiovascular disease that uses Framingham risk factors. C Martin M Vanderpump J French, BMC Med Inform Decis Mak 2004 4 6 15157279 10.1186/1472-6947-4-6
32. The Dundee coronary risk-disk for management of change in risk factors. H Tunstall-Pedoe, BMJ 1991 303 744 747 1932933
33. Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Munster Study (PROCAM) using neural networks. R Voss P Cullen H Schulte G Assmann, Int J Epidemiol 2002 31 1253 1262 10.1093/ije/31.6.1253 12540731