Improvement in Mortality Risk Prediction After Percutaneous Coronary Intervention Through the Addition of a "Compassionate Use" Variable to the National Cardiovascular Data Registry CathPCI Dataset

被引:49
作者
Resnic, Frederic S. [1 ]
Normand, Sharon-Lise T. [2 ,3 ]
Piemonte, Thomas C. [4 ,5 ]
Shubrooks, Samuel J. [6 ]
Zelevinsky, Katya [2 ]
Lovett, Ann [2 ]
Ho, Kalon K. L. [6 ]
机构
[1] Brigham & Womens Hosp, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Dept Hlth Care Policy, Massachusetts Data Anal Ctr, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[4] Lahey Clin Fdn, Burlington, MA USA
[5] Tufts Sch Med, Boston, MA USA
[6] Beth Israel Deaconess Med Ctr, Boston, MA 02215 USA
关键词
American College of Cardiology National Cardiovascular; Data Registry CathPCI; hierarchical risk prediction models; percutaneous coronary intervention; predictive models; CARDIAC-SURGERY; CARDIOGENIC-SHOCK; OUTCOMES; RECLASSIFICATION; DISCRIMINATION; CARDIOLOGY; MODELS; SYSTEM; CURVE;
D O I
10.1016/j.jacc.2010.09.057
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives This study investigated the impact of adding novel elements to models predicting in-hospital mortality after percutaneous coronary interventions (PCIs). Background Massachusetts mandated public reporting of hospital-specific PCI mortality in 2003. In 2006, a physician advisory group recommended adding to the prediction models 3 attributes not collected by the National Cardiovascular Data Registry instrument. These "compassionate use" (CU) features included coma on presentation, active hemodynamic support during PCI, and cardiopulmonary resuscitation at PCI initiation. Methods From October 2005 through September 2007, PCI was performed during 29,784 admissions in Massachusetts nonfederal hospitals. Of these, 5,588 involved patients with ST-segment elevation myocardial infarction or cardiogenic shock. Cases with CU criteria identified were adjudicated by trained physician reviewers. Regression models with and without the CU composite variable (presence of any of the 3 features) were compared using areas under the receiver-operator characteristic curves. Results Unadjusted mortality in this high-risk subset was 5.7%. Among these admissions, 96 (1.7%) had at least 1 CU feature, with 69.8% mortality. The adjusted odds ratio for in-hospital death for CU PCIs (vs. no CU criteria) was 27.3 (95% confidence interval: 14.5 to 47.6). Discrimination of the model improved after including CU, with areas under the receiver-operating characteristic curves increasing from 0.87 to 0.90 (p < 0.01), while goodness of fit was preserved. Conclusions A small proportion of patients at extreme risk of post-PCI mortality can be identified using pre-procedural factors not routinely collected, but that heighten predictive accuracy. Such improvements in model performance may result in greater confidence in reporting of risk-adjusted PCI outcomes. (J Am Coll Cardiol 2011; 57: 904-11) (C) 2011 by the American College of Cardiology Foundation
引用
收藏
页码:904 / 911
页数:8
相关论文
共 16 条
[1]   Impact of the New York State Cardiac Surgery and Percutaneous Coronary Intervention Reporting System on the management of patients with acute myocardial infarction complicated by cardiogenic shock [J].
Apolito, Renato A. ;
Greenberg, Mark A. ;
Menegus, Mark A. ;
Lowe, April M. ;
Sleeper, Lynn A. ;
Goldberger, Mark H. ;
Remick, Joshua ;
Radford, Martha J. ;
Hochman, Judith S. .
AMERICAN HEART JOURNAL, 2008, 155 (02) :267-273
[2]   Use and misuse of the receiver operating characteristic curve in risk prediction [J].
Cook, Nancy R. .
CIRCULATION, 2007, 115 (07) :928-935
[3]   Risk assessment for percutaneous coronary intervention: Our version of the weather report? [J].
Cutlip, DE ;
Ho, KKL ;
Kuntz, RE ;
Baim, DS .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2003, 42 (11) :1896-1899
[4]   COMPARING THE AREAS UNDER 2 OR MORE CORRELATED RECEIVER OPERATING CHARACTERISTIC CURVES - A NONPARAMETRIC APPROACH [J].
DELONG, ER ;
DELONG, DM ;
CLARKEPEARSON, DI .
BIOMETRICS, 1988, 44 (03) :837-845
[5]   Publicly reported provider outcomes: The concerns of cardiac surgeons in a single-payer system [J].
Guru, Veena ;
Naylor, C. David ;
Frernes, Stephen E. ;
Teoh, Kevin ;
Tu, Jack V. .
CANADIAN JOURNAL OF CARDIOLOGY, 2009, 25 (01) :33-38
[6]   Early revascularization in acute myocardial infarction complicated by cardiogenic shock [J].
Hochman, JS ;
Sleeper, LA ;
Webb, JG ;
Sanborn, TA ;
White, HD ;
Talley, JD ;
Buller, CE ;
Jacobs, AK ;
Slater, JN ;
Col, J ;
McKinlay, SM ;
LeJemtel, TH .
NEW ENGLAND JOURNAL OF MEDICINE, 1999, 341 (09) :625-634
[7]   Standards for statistical models used for public reporting of health outcomes - An American Heart Association scientific statement from the quality of care and outcomes research interdisciplinary writing group - Cosponsored by the Council on Epidemiology and Prevention and the Stroke Council - Endorsed by the American College of Cardiology Foundation [J].
Krumholz, HM ;
Brindis, RG ;
Brush, JE ;
Cohen, DJ ;
Epstein, AJ ;
Furie, K ;
Howard, G ;
Peterson, ED ;
Rathore, SS ;
Smith, SC ;
Spertus, JA ;
Wang, Y ;
Normand, SLT .
CIRCULATION, 2006, 113 (03) :456-462
[8]   WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility [J].
Lunn, DJ ;
Thomas, A ;
Best, N ;
Spiegelhalter, D .
STATISTICS AND COMPUTING, 2000, 10 (04) :325-337
[9]   Discrimination and calibration of mortality risk prediction models in interventional cardiology [J].
Matheny, ME ;
Ohno-Machado, L ;
Resnic, FS .
JOURNAL OF BIOMEDICAL INFORMATICS, 2005, 38 (05) :367-375
[10]   The influence of public reporting of outcome data on medical decision making by physicians [J].
Narins, CR ;
Dozier, AM ;
Ling, FS ;
Zareba, W .
ARCHIVES OF INTERNAL MEDICINE, 2005, 165 (01) :83-87