Literature DB >> 22361329

Prediction of long-term mortality after percutaneous coronary intervention in older adults: results from the National Cardiovascular Data Registry.

William S Weintraub1, Maria V Grau-Sepulveda, Jocelyn M Weiss, Elizabeth R Delong, Eric D Peterson, Sean M O'Brien, Paul Kolm, Lloyd W Klein, Richard E Shaw, Charles McKay, Laura L Ritzenthaler, Jeffrey J Popma, John C Messenger, David M Shahian, Frederick L Grover, John E Mayer, Kirk N Garratt, Issam D Moussa, Fred H Edwards, George D Dangas.   

Abstract

BACKGROUND: The purpose of this study was to develop a long-term model to predict mortality after percutaneous coronary intervention in both patients with ST-segment elevation myocardial infarction and those with more stable coronary disease. METHODS AND
RESULTS: The American College of Cardiology Foundation CathPCI Registry data were linked to the Centers for Medicare and Medicaid Services 100% denominator file by probabilistic matching. Preprocedure demographic and clinical variables from the CathPCI Registry were used to predict the probability of death over 3 years as recorded in the Centers for Medicare and Medicaid Services database. Between 2004 and 2007, 343 466 patients (66%) of 518 195 patients aged ≥65 years undergoing first percutaneous coronary intervention in the CathPCI Registry were successfully linked to Centers for Medicare and Medicaid Services data. This study population was randomly divided into 60% derivation and 40% validation cohorts. Median follow-up was 15 months, with mortality of 3.0% at 30 days and 8.7%, 13.4%, and 18.7% at 1, 2, and 3 years, respectively. Twenty-four characteristics related to demographics, clinical comorbidity, prior history of disease, and indices of disease severity and acuity were identified as being associated with mortality. The C indices in the validation cohorts for patients with and without ST-segment elevation myocardial infarction were 0.79 and 0.78. The model calibrated well across a wide range of predicted probabilities.
CONCLUSIONS: On the basis of the large and nationally representative CathPCI Registry, we have developed a model that has excellent discrimination, calibration, and validation to predict survival up to 3 years after percutaneous coronary intervention.

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Year:  2012        PMID: 22361329      PMCID: PMC3356775          DOI: 10.1161/CIRCULATIONAHA.111.066969

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  23 in total

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2.  Contemporary mortality risk prediction for percutaneous coronary intervention: results from 588,398 procedures in the National Cardiovascular Data Registry.

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5.  Simple bedside additive tool for prediction of in-hospital mortality after percutaneous coronary interventions.

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Authors:  G T O'Connor; D J Malenka; H Quinton; J F Robb; M A Kellett; S Shubrooks; W A Bradley; M J Hearne; M W Watkins; D E Wennberg; B Hettleman; D J O'Rourke; P D McGrath; T Ryan; P VerLee
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  27 in total

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