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

Background Benchmarking the performance of providers is an increasing priority in many health care economies. In-hospital mortality represents an important and uniformly assessed measure on which to examine the outcome of percutaneous coronary intervention (PCI). Most existing prediction models of i...

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Bibliographic Details
Published in:The American heart journal 2009, Vol.157 (1), p.156-163
Main Authors: Chowdhary, Saqib, MD, PhD, Ivanov, Joan, PhD, Mackie, Karen, RN, Seidelin, Peter H., MD, Džavík, Vladimír, MD
Format: Article
Language:English
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Summary:Background Benchmarking the performance of providers is an increasing priority in many health care economies. In-hospital mortality represents an important and uniformly assessed measure on which to examine the outcome of percutaneous coronary intervention (PCI). Most existing prediction models of in-hospital mortality after PCI were derived from 1990s data, and their current relevance is uncertain. Methods From consecutive PCIs performed during 2000-2008, derivation and validation cohorts of 10,694 and 5,347 patients, respectively, were analyzed. Logistic regression for in-hospital death yielded integer risk weights for each independent predictor variable. These were summed for each patient to create the Toronto PCI risk score. Results Death occurred in 1.3% of patients. Independent predictors with associated risk weights in parentheses were as follows: age 40 to 49 y (1), 50 to 59 y (2), 60 to 69 y (3), 70 to 79 y (4), and ≥80 y (5); diabetes (2); renal insufficiency (2); New York Heart Association class 4 (3); left ventricular ejection fraction
ISSN:0002-8703
1097-6744
DOI:10.1016/j.ahj.2008.08.026