Development and validation of a clinical prediction rule for major adverse outcomes in coronary bypass grafting

被引:45
作者
Fortescue, EB
Kahn, K
Bates, DW
机构
[1] Brigham & Womens Hosp, Div Gen Med, Dept Med, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Boston, MA USA
[3] Univ Calif Los Angeles, Med Ctr, Div Gen Internal Med, Los Angeles, CA 90024 USA
[4] Univ Calif Los Angeles, Med Ctr, Div Hlth Serv Res, Los Angeles, CA 90024 USA
关键词
D O I
10.1016/S0002-9149(01)02086-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
In this study, we develop and internally validate a clinical prediction rule for in-hospital major adverse outcomes, defined as death, renal failure, reinfarction, cardiac arrest, cerebrovascular accident, or coma, in patients who underwent coronary artery bypass grafting (CABG). All adult patients (n = 9,498) who underwent a CABG and no other concomitant surgery at 12 academic medical centers from August 1993 to October 1995 were included in the study. We assessed in-hospital major adverse outcomes and their predictors using information on admission, coronary angiography, and postoperative hospital course. Predictor variables were limited to information available before the procedure, and outcome variables were represented only by events that occurred postoperatively. We developed and internally validated a clinical prediction rule for any major adverse outcome after CABG. The rule's ability to discriminate outcomes and its calibration were assessed using receiver-operating characteristic analysis and the Hosmer-Lemeshow goodness-of-fit statistic, respectively. A major adverse outcome occurred in 6.5% of patients in the derivation set and 7.2% in the validation set. Death occurred in 2.5% of patients in the derivation set and 2.2% in the validation set. Sixteen variables were independently correlated with major adverse outcomes, with the risk score value attributed to each risk factor ranging from 2 to 12 points. The rule stratified patients into 6 levels of risk based on the total risk score. The spread in probability between the lowest and highest risk groups of having a major adverse outcome was 1.7% to 32.3% in the derivation set and 2.2% to 22.3% in the validation set. The prediction model performed well in both outcome discrimination and calibration. Thus, this clinical prediction rule allows accurate stratification of potential CABG candidates before surgery according to the risk of experiencing a major adverse outcome postoperatively. (C) 2001 by Excerpta Medica, Inc.
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页码:1251 / 1258
页数:8
相关论文
共 28 条
  • [11] STRATIFICATION OF MORBIDITY AND MORTALITY OUTCOME BY PREOPERATIVE RISK-FACTORS IN CORONARY-ARTERY BYPASS PATIENTS - A CLINICAL SEVERITY SCORE
    HIGGINS, TL
    ESTAFANOUS, FG
    LOOP, FD
    BECK, GJ
    BLUM, JM
    PARANANDI, L
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1992, 267 (17): : 2344 - 2348
  • [12] INTERPRETING HOSPITAL MORTALITY DATA - THE ROLE OF CLINICAL RISK ADJUSTMENT
    JENCKS, SF
    DALEY, J
    DRAPER, D
    THOMAS, N
    LENHART, G
    WALKER, J
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1988, 260 (24): : 3611 - 3616
  • [13] ASSESSING HOSPITAL-ASSOCIATED DEATHS FROM DISCHARGE DATA - THE ROLE OF LENGTH OF STAY AND COMORBIDITIES
    JENCKS, SF
    WILLIAMS, DK
    KAY, TL
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1988, 260 (15): : 2240 - 2246
  • [14] Sounding board -: Pennsylvania's Focus on Heart Attack -: Grading the scorecard
    Jollis, JG
    Romano, PS
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 1998, 338 (14) : 983 - 987
  • [15] A REVIEW OF GOODNESS OF FIT STATISTICS FOR USE IN THE DEVELOPMENT OF LOGISTIC-REGRESSION MODELS
    LEMESHOW, S
    HOSMER, DW
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 1982, 115 (01) : 92 - 106
  • [16] A model that predicts morbidity and mortality after coronary artery bypass graft surgery
    Magovern, JA
    Sakert, T
    Magovern, GJ
    Benckart, DH
    Burkholder, JA
    Liebler, GA
    Magovern, GJ
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 1996, 28 (05) : 1147 - 1153
  • [17] BASIC PRINCIPLES OF ROC ANALYSIS
    METZ, CE
    [J]. SEMINARS IN NUCLEAR MEDICINE, 1978, 8 (04) : 283 - 298
  • [18] MULTIVARIATE PREDICTION OF IN-HOSPITAL MORTALITY ASSOCIATED WITH CORONARY-ARTERY BYPASS GRAFT-SURGERY
    OCONNOR, GT
    PLUME, SK
    OLMSTEAD, EM
    COFFIN, LH
    MORTON, JR
    MALONEY, CT
    NOWICKI, ER
    LEVY, DG
    TRYZELAAR, JF
    HERNANDEZ, F
    ADRIAN, L
    CASEY, KJ
    BUNDY, D
    SOULE, DN
    MARRIN, CAS
    NUGENT, WC
    CHARLESWORTH, DC
    CLOUGH, R
    KATZ, S
    LEAVITT, BJ
    WENNBERG, JE
    [J]. CIRCULATION, 1992, 85 (06) : 2110 - 2118
  • [19] PARK RE, 1990, JAMA-J AM MED ASSOC, V264, P484
  • [20] Clinical usefulness of risk-stratified outcome analysis in cardiac surgery in New Jersey
    Parsonnet, V
    Bernstein, AD
    Gera, M
    [J]. ANNALS OF THORACIC SURGERY, 1996, 61 (02) : S8 - S11