Multivariate prediction of major adverse cardiac events after 9914 percutaneous coronary interventions in the north west of England

Heart

Volumn 92, Issue 5, 2006, Pages 658-663

  Grayson, A D ^a   Moore, R K ^a   Jackson, M ^a   Rathore, S ^a   Sastry, S ^b   Gray, T P ^c   Schofield, I ^d   Chauhan, A ^b   Ordoubadi, F F ^c   Prendergast, B ^d   Stables, R H ^a  

^a LIVERPOOL HEART AND CHEST HOSPITAL   (United Kingdom)

^b BLACKPOOL VICTORIA HOSPITAL   (United Kingdom)

^c MANCHESTER ROYAL INFIRMARY   (United Kingdom)

^d MANCHESTER UNIVERSITY NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CALIBRATION; CARDIOGENIC SHOCK; CEREBROVASCULAR ACCIDENT; CEREBROVASCULAR DISEASE; CONTROLLED STUDY; CORONARY ARTERY BYPASS GRAFT; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MORTALITY; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PERCUTANEOUS CORONARY INTERVENTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; STATISTICAL MODEL; UNITED KINGDOM;

ADULT; AGED; AGED, 80 AND OVER; ANGIOPLASTY, TRANSLUMINAL, PERCUTANEOUS CORONARY; CARDIOMYOPATHIES; ENGLAND; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; MALE; MIDDLE AGED;

EID: 33646240138     PISSN: 13556037     EISSN: None     Source Type: Journal    
DOI: 10.1136/hrt.2005.066415     Document Type: Article

References (27)

1. Anon. Learning from Bristol: the report of the public inquiry into children's heart surgery at the Bristol Royal Infirmary 1984-1995. www.bristol-inquiry.org.uk (accessed 14 Mar 2005).
2. Anon. Shipman Inquiry. Fifth report: safeguarding patients, lessons from the past-proposals for the future.www.the-shipman-inquiry.org.uk/fifthreport.asp (accessed 14 Mar 2005).
3. Bridgewater B, on behalf of the adult cardiac surgeons of north west England. Mortality data in adult cardiac surgery for named surgeons: retrospective examination of prospectively collected data on coronary artery surgery and aortic valve replacement. BMJ 2005;330:506-10.
4. Anon. Freedom of Information. www.foi.nhs.uk (accessed 14 Mar 2005).
5. Anon. "NHS heart surgery. The data explained: 244 doctors and the problem of comparing mortality rates," The Guardian, 16 Mar, 2005:10-11.
6. Central Cardiac Audit Database. Coronary heart disease audit supported by the Central Cardiac Audit Database. www.ccad.org.uk (accessed 14 Mar 2005).
7. O'Connor GT, Malenka DJ, Quinton H, et al. Multivariate prediction of in-hospital mortality after percutaneous coronary interventions in 1994-1996. J Am Coll Cardiol 1999;34:681-91.
8. Shaw RE, Anderson HV, Brindis RG, et al. Development of a risk adjustment mortality model using the American College of Cardiology-National Cardiovascular Data Registry (ACC-NCDR) experience: 1998-2000. J Am Coll Cardiol 2002;39:1104-12.
9. Moscucci M, Kline-Rogers E, Share D, et al. Simple bedside additive tool for prediction of in-hospital mortality after percutaneous coronary interventions. Circulation 2001;104:263-8.
10. Hannan EL, Racz M, Ryan TJ, et al. Coronary angioplasty volume-outcome relationships for hospitals and cardiologists. JAMA 1997;279:892-8.
11. British Cardiovascular Intervention Society. BCIS audit returns 2003. www.bcis.org.uk/resources/audit/audit2003 (accessed 14 Mar 2005).
12. Anon. North West Quality Improvement Programme in Cardiac Interventions. www.nwheartaudit.nhs.uk (accessed 14 Mar 2005).
13. Ryan TJ, Faxon DP, Gunnar RM, et al. Guidelines for percutaneous transluminal coronary angioplasty. A report of the American College of Cardiology/American Heart Association task force on assessment of diagnostic and therapeutic cardiovascular procedures. Circulation. 1988: 78;486-502).
14. Hosmer D, Lemeshow S. Applied logistic regression. New York: John Wiley & Sons, 1989.
15. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Diagn Radiol 1982;143:29-36.
16. Efron B, Tibshirani R. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Stat Sci 1986;1:54-77.
17. Harrell FE Jr, Lee KL, Mark DB. Mulitvariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87.
18. Holmes DR Jr, Berger PB, Garratt KN, et al. Application of the New York state PICA mortality model in patients undergoing stent implantations. Circulation 2000;102:517-22.
19. Holmes DR Jr, Selzer F, Johnston JM, et al. Modeling and risk prediction in the current era of interventional cardiology: a report from the National Heart, Lung, and Blood Institute Dynamic Registry. Circulation 2003;107:1871-6.
20. Moscucci M, O'Connor GT, Ellis SG, et al. Validation of risk adjustment models for in-hospital percutaneous transluminal coronary angioplasty mortality on an independent data set. J Am Coll Cardiol 1999;34:692-7.
21. Kimmel SE, Berlin JA, Strom BL, et al. Development and validation of a simplified predictive index for major complications in contemporary percutaneous transluminal coronary angioplasty practice. J Am Coll Cardiol 1995;26:931-8.
22. Resnic FS, Ohno-Machado L, Selwyn A, et al. Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention. Am J Cardiol 2001;88:5-9.
23. Singh M, Lennon RJ, Holmes DR Jr, et al. Correlates of procedural complications and a simple integer risk score for percutaneous coronary interventions. J Am Coll Cardiol 2002;40:387-93.
24. De Belder AJ, Jewitt DE, Wainwright RJ, et al. Development and validation of a Bayesian index for predicting major adverse cardiac events with percutaneous transluminal coronary angioplasty. Heart 2001;85:69-72.
25. Narins CR, Dozier AM, Ling FS, et al. The influence of public reporting of outcome data on medical decision making by physicians. Arch Intern Med 2005;165:83-7.
26. Piper WD, Malenka DJ, Ryan TJ Jr, et al. Predicting vascular complications in percutaneous coronary interventions. Am Heart J 2003;145:1022-9.
27. Mehran R, Aymong ED, Nikolsky E, et al. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation. J Am Coll Cardiol 2004;44:1393-9.