Risk Stratification for Long-Term Mortality After Percutaneous Coronary Intervention

被引:36
作者
Wu, Chuntao [1 ]
Camacho, Fabian T. [1 ]
King, Spencer B., III [2 ]
Walford, Gary [3 ]
Holmes, David R., Jr. [4 ]
Stamato, Nicholas J. [5 ]
Berger, Peter B. [6 ]
Sharma, Samin [7 ]
Curtis, Jeptha P. [8 ]
Venditti, Ferdinand J. [9 ]
Jacobs, Alice K. [10 ]
Hannan, Edward L. [11 ]
机构
[1] Penn State Hershey Coll Med, Hershey, PA USA
[2] St Josephs Hlth Syst, Atlanta, GA USA
[3] Johns Hopkins Med Ctr, Baltimore, MD USA
[4] Mayo Clin, Rochester, MN USA
[5] United Hlth Serv, Binghamton, NY USA
[6] Geisinger Hlth Syst, Danville, PA USA
[7] Mt Sinai Med Ctr, New York, NY 10029 USA
[8] Yale Univ, Sch Med, New Haven, CT USA
[9] Albany Med Coll, Albany, NY 12208 USA
[10] Boston Med Ctr, Boston, MA USA
[11] SUNY Albany, Albany, NY 12222 USA
基金
美国国家卫生研究院;
关键词
IN-HOSPITAL MORTALITY; PREDICTION; SCORE; REVASCULARIZATION; COMPLICATIONS; EXPERIENCE;
D O I
10.1161/CIRCINTERVENTIONS.113.000475
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background-A simple risk score to predict long-term mortality after percutaneous coronary intervention (PCI) using preprocedural risk factors is currently not available. In this study, we created one by simplifying the results of a Cox proportional hazards model. Methods and Results-A total of 11 897 patients who underwent PCI from October through December 2003 in New York State were randomly divided into derivation and validation samples. Patients' vital statuses were tracked using the National Death Index through the end of 2008. A Cox proportional hazards model was fit to predict death after PCI using the derivation sample, and a simplified risk score was created. The Cox model identified 12 separate risk factors for mortality including older age, extreme body mass indexes, multivessel disease, a lower ejection fraction, unstable hemodynamic state or shock, several comorbidities (cerebrovascular disease, peripheral vascular disease, congestive heart failure, chronic obstructive pulmonary disease, diabetes mellitus, and renal failure), and a history of coronary artery bypass graft surgery. The C statistics of this model when applied to the validation sample were 0.787, 0.785, and 0.773 for risks of death within 1, 3, and 5 years after PCI, respectively. In addition, the point-based risk score demonstrated good agreement between patients' observed and predicted risks of death. Conclusions-A simple risk score created from a more complicated Cox proportional hazards model can be used to accurately predict a patient's risk of long-term mortality after PCI. © 2014 American Heart Association, Inc.
引用
收藏
页码:80 / 87
页数:8
相关论文
共 22 条
[1]   Validation of the Framingham Coronary Heart Disease prediction scores - Results of a multiple ethnic groups investigation [J].
D'Agostino, RB ;
Grundy, S ;
Sullivan, LM ;
Wilson, P .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2001, 286 (02) :180-187
[2]   Relation of operator volume and experience to procedural outcome of percutaneous coronary revascularization at hospitals with high interventional volumes [J].
Ellis, SG ;
Weintraub, W ;
Holmes, D ;
Shaw, R ;
Block, PC ;
King, SB .
CIRCULATION, 1997, 95 (11) :2479-2484
[3]  
Friesinger G C, 1970, Trans Assoc Am Physicians, V83, P78
[4]   THE MEANING AND USE OF THE AREA UNDER A RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE [J].
HANLEY, JA ;
MCNEIL, BJ .
RADIOLOGY, 1982, 143 (01) :29-36
[5]   The New York Risk Score for In-Hospital and 30-Day Mortality for Coronary Artery Bypass Graft Surgery [J].
Hannan, Edward L. ;
Farrell, Louise Szypulski ;
Wechsler, Andrew ;
Jordan, Desmond ;
Lahey, Stephen J. ;
Culliford, Alfred T. ;
Gold, Jeffrey P. ;
Higgins, Robert S. D. ;
Smith, Craig R. .
ANNALS OF THORACIC SURGERY, 2013, 95 (01) :46-54
[6]  
Hosmer D.W., 1989, Applied Logistic regression
[7]  
Hosmer DW, 2008, Applied survival analysis: Regression modeling of time-to-event data, V2nd
[8]   THE ROBUST INFERENCE FOR THE COX PROPORTIONAL HAZARDS MODEL [J].
LIN, DY ;
WEI, LJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1989, 84 (408) :1074-1078
[9]   Prediction of Survival After Coronary Revascularization: Modeling Short-Term, Mid-Term, and Long-Term Survival [J].
MacKenzie, Todd A. ;
Malenka, David J. ;
Olmstead, Elaine M. ;
Piper, Winthrop D. ;
Langner, Craig ;
Ross, Cathy S. ;
O'Connor, Gerald T. .
ANNALS OF THORACIC SURGERY, 2009, 87 (02) :463-474
[10]   Simple bedside additive tool for prediction of in-hospital mortality after percutaneous coronary interventions [J].
Moscucci, M ;
Kline-Rogers, E ;
Share, D ;
O'Donnell, M ;
Maxwell-Eward, A ;
Meengs, WL ;
Kraft, P ;
DeFranco, AC ;
Chambers, JL ;
Patel, K ;
McGinnity, JG ;
Eagle, KA .
CIRCULATION, 2001, 104 (03) :263-268