Predictors of Long-Term Survival After Coronary Artery Bypass Grafting Surgery Results From the Society of Thoracic Surgeons Adult Cardiac Surgery Database (The ASCERT Study)

被引:180
作者
Shahian, David M. [1 ,15 ]
O'Brien, Sean M. [2 ]
Sheng, Shubin [2 ]
Grover, Frederick L. [3 ]
Mayer, John E. [4 ]
Jacobs, Jeffrey P. [5 ]
Weiss, Jocelyn M. [6 ]
DeLong, Elizabeth R. [2 ]
Peterson, Eric D. [2 ]
Weintraub, William S. [7 ]
Grau-Sepulveda, Maria V. [2 ]
Klein, Lloyd W. [8 ]
Shaw, Richard E. [9 ]
Garratt, Kirk N. [10 ]
Moussa, Issam D. [11 ]
Shewan, Cynthia M. [12 ]
Dangas, George D. [13 ]
Edwards, Fred H. [14 ]
机构
[1] Massachusetts Gen Hosp, Dept Surg, Boston, MA 02114 USA
[2] Duke Clin Res Inst, Durham, NC USA
[3] Univ Colorado, Sch Med, Denver, CO USA
[4] Childrens Hosp Boston, Boston, MA USA
[5] Congenital Heart Inst Florida, St Petersburg, FL USA
[6] Amer Coll Cardiol, Washington, DC USA
[7] Christiana Care Ctr Outcome Res, Newark, DE USA
[8] Gottlieb Mem Hosp, Melrose Pk, IL USA
[9] Calif Pacific Med Ctr, San Francisco, CA USA
[10] Lenox Hill Heart & Vasc Inst New York, New York, NY USA
[11] Mayo Clin, Jacksonville, FL 32224 USA
[12] Soc Thorac Surg, Chicago, IL USA
[13] Columbia Univ, Med Ctr, New York, NY USA
[14] Univ Florida Shands Jacksonville, Jacksonville, FL USA
[15] Massachusetts Gen Hosp, Ctr Qual & Safety, Boston, MA 02114 USA
关键词
CABG; long-term outcomes; registries; risk factors; survival analysis; BODY-MASS INDEX; CLINICAL REGISTRY DATA; MEDICARE CLAIMS DATA; ADMINISTRATIVE DATABASES; INDIRECT IDENTIFIERS; QUALITY MEASUREMENT; CABG SURGERY; RISK-FACTORS; MORTALITY; OUTCOMES;
D O I
10.1161/CIRCULATIONAHA.111.066902
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background-Most survival prediction models for coronary artery bypass grafting surgery are limited to in-hospital or 30-day end points. We estimate a long-term survival model using data from the Society of Thoracic Surgeons Adult Cardiac Surgery Database and Centers for Medicare and Medicaid Services. Methods and Results-The final study cohort included 348 341 isolated coronary artery bypass grafting patients aged >= 65 years, discharged between January 1, 2002, and December 31, 2007, from 917 Society of Thoracic Surgeons-participating hospitals, randomly divided into training (n = 174 506) and validation (n = 173 835) samples. Through linkage with Centers for Medicare and Medicaid Services claims data, we ascertained vital status from date of surgery through December 31, 2008 (1- to 6-year follow-up). Because the proportional hazards assumption was violated, we fit 4 Cox regression models conditional on being alive at the beginning of the following intervals: 0 to 30 days, 31 to 180 days, 181 days to 2 years, and >2 years. Kaplan-Meier-estimated mortality was 3.2% at 30 days, 6.4% at 180 days, 8.1% at 1 year, and 23.3% at 3 years of follow-up. Harrell's C statistic for predicting overall survival time was 0.732. Some risk factors (eg, emergency status, shock, reoperation) were strong predictors of short-term outcome but, for early survivors, became nonsignificant within 2 years. The adverse impact of some other risk factors (eg, dialysis-dependent renal failure, insulin-dependent diabetes mellitus) continued to increase. Conclusions-Using clinical registry data and longitudinal claims data, we developed a long-term survival prediction model for isolated coronary artery bypass grafting. This provides valuable information for shared decision making, comparative effectiveness research, quality improvement, and provider profiling. (Circulation. 2012;125:1491-1500.)
引用
收藏
页码:1491 / U113
页数:35
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