The Toronto score for in-hospital mortality after percutaneous coronary interventions

American Heart Journal

Volumn 157, Issue 1, 2009, Pages 156-163

  Chowdhary, Saqib ^a   Ivanov, Joan ^a   Mackie, Karen ^a   Seidelin, Peter H ^a   Džavík, Vladimír ^a  

^a UNIVERSITY HEALTH NETWORK   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; DEATH; DIABETES MELLITUS; FEMALE; HEART INFARCTION; HEART LEFT VENTRICLE EJECTION FRACTION; HOSMER LEMESHOW GOODNESS OF FIT; HUMAN; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; MEDICAL SOCIETY; MORTALITY; PERCUTANEOUS CORONARY INTERVENTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; SCORING SYSTEM; TORONTO SCORE;

ADULT; AGED; AGED, 80 AND OVER; ANGIOPLASTY, TRANSLUMINAL, PERCUTANEOUS CORONARY; FEMALE; HOSPITAL MORTALITY; HUMANS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; ONTARIO; PROSPECTIVE STUDIES; RISK ASSESSMENT;

EID: 57149101306     PISSN: 00028703     EISSN: 10976744     Source Type: Journal    
DOI: 10.1016/j.ahj.2008.08.026     Document Type: Article

References (24)

1. Moscucci M., Kline-Rogers E., Share D., et al. Simple bedside additive tool for prediction of in-hospital mortality after percutaneous coronary interventions. Circulation 104 (2001) 263-268
2. Holmes Jr. D.R., Berger P.B., Garratt K.N., et al. Application of the New York State PTCA mortality model in patients undergoing stent implantation. Circulation 102 (2000) 517-522
3. Shaw R.E., Anderson H.V., Brindis R.G., 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 39 (2002) 1104-1112
4. O'Connor G.T., Malenka D.J., Quinton H., et al. Multivariate prediction of in-hospital mortality after percutaneous coronary interventions in 1994-1996. Northern New England Cardiovascular Disease Study Group. J Am Coll Cardiol 34 (1999) 681-691
5. Qureshi M.A., Safian R.D., Grines C.L., et al. Simplified scoring system for predicting mortality after percutaneous coronary intervention. J Am Coll Cardiol 42 (2003) 1890-1895
6. Ellis S.G., Weintraub W., Holmes D., et al. Relation of operator volume and experience to procedural outcome of percutaneous coronary revascularization at hospitals with high interventional volumes. Circulation 95 (1997) 2479-2484
7. Wu C., Hannan E.L., Walford G., et al. A risk score to predict in-hospital mortality for percutaneous coronary interventions. J Am Coll Cardiol 47 (2006) 654-660
8. Matheny M.E., Ohno-Machado L., and Resnic F.S. Discrimination and calibration of mortality risk prediction models in interventional cardiology. J Biomed Inform 38 (2005) 367-375
9. Little R.J.A., and Rubin D.B. Statistical analysis with missing data (1987), John Wiley & Sons, New York
10. Block P.C., Peterson E.D., Krone R., et al. Identification of variables needed to risk adjust outcomes of coronary interventions: evidence-based guidelines for efficient data collection. J Am Coll Cardiol 32 (1998) 275-282
11. Greenland S., and Finkle W.D. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol 142 (1995) 1255-1264
12. Sullivan L.M., Massaro J.M., and D'Agostino Sr. R.B. Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat Med 23 (2004) 1631-1660
13. Singh M., Rihal C.S., Lennon R.J., et al. A critical appraisal of current models of risk stratification for percutaneous coronary interventions. Am Heart J 149 (2005) 753-760
14. Grayson A., Moore R., Jackson M., et al. Multivariate prediction of major adverse cardiac events after 9,914 percutaneous coronary interventions in the north-west of England. Heart (2005)
15. Kimmel S.E., Berlin J.A., Strom B.L., et al. Development and validation of simplified predictive index for major complications in contemporary percutaneous transluminal coronary angioplasty practice. The Registry Committee of the Society for Cardiac Angiography and Interventions. J Am Coll Cardiol 26 (1995) 931-938
16. Resnic F.S., 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 88 (2001) 5-9
17. Singh M., Lennon R.J., Holmes Jr. D.R., et al. Correlates of procedural complications and a simple integer risk score for percutaneous coronary intervention. J Am Coll Cardiol 40 (2002) 387-393
18. Cockcroft D.W., and Gault M.H. Prediction of creatinine clearance from serum creatinine. Nephron 16 (1976) 31-41
19. Alpert J.S., Thygesen K., Antman E., et al. Myocardial infarction redefined-a consensus document of The Joint European Society of Cardiology/American College of Cardiology Committee for the redefinition of myocardial infarction. J Am Coll Cardiol 36 (2000) 959-969
20. Holmes D.R., Selzer F., Johnston J.M., 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 107 (2003) 1871-1876
21. Ivanov J., Chowdhary S., Horlick E., et al. The Toronto Risk Score for major adverse cardiovascular events following percutaneous coronary intervention. Circulation 114 (2006) II-842
22. Gurm H.S., Bhatt D.L., Gupta R., et al. Preprocedural white blood cell count and death after percutaneous coronary intervention. Am Heart J 146 (2003) 692-698
23. Lee P.C., Kini A.S., Ahsan C., et al. Anemia is an independent predictor of mortality after percutaneous coronary intervention. J Am Coll Cardiol 44 (2004) 541-546
24. Karha J., Bavry A.A., Rajagopal V., et al. Relation of C-reactive protein level and long-term risk of death or myocardial infarction following percutaneous coronary intervention with a sirolimus-eluting stent. Am J Cardiol 98 (2006) 616-618