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)

Article

关键词: BODY-MASS INDEX;    CLINICAL REGISTRY DATA;    MEDICARE CLAIMS DATA;    ADMINISTRATIVE DATABASES;    INDIRECT IDENTIFIERS;    QUALITY MEASUREMENT;    CABG SURGERY;    RISK-FACTORS;    MORTALITY;    OUTCOMES;   

DOI  :  10.1161/CIRCULATIONAHA.111.066902

来源: SCIE

【 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.)

【 授权许可】

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