Technical Performance Scores are strongly associated with early mortality, postoperative adverse events, and intensive care unit length of stay - Analysis of consecutive discharges for 2 years

摘要

Objectives: Previous work in our institution has indicated that the Technical Performance Score (TPS) is highly associated with early outcomes in select subsets of procedures and age groups. We hypothesized that the TPS could predict early outcomes in a wide range of diagnoses and age groups. Methods: Consecutive patients discharged from January 2011 to March 2013 were prospectively evaluated. The TPS was assigned according to the discharge echocardiographic findings and the need for reinterventions in the anatomic area of interest. Case complexity was determined using Risk Adjustment for Congenital Heart Surgery (RACHS-1) categories. Early mortality and postoperative adverse events were recorded. Relationships between the TPS and outcomes were assessed after adjusting for the baseline patient characteristics. Results: The median age of the 1926 patients was 1.8 years (range, 0 days to 68 years). Bypass was used in 1740 (90%); 322 (17%) were neonates, 520 (27%) infants, 873 (45%) children, 211 (11%) adults. TPS was class 1 (optimal) in 956 (50%), class 2 (adequate) in 584 (30%), and class 3 (inadequate) in 226 (12%); 160 patients (8%) could not be scored. A total of 51 early deaths (2.6%) and 111 adverse events (5.7%) occurred. On univariate analysis, age, RACHS-1 category, and TPS were significantly associated with mortality and the occurrence of adverse events. On multivariate modeling, class 3 (inadequate) TPS was strongly associated with mortality (odds ratio, 16.9; 95% confidence interval, 6.7-42.9; P <.001), adverse events (odds ratio, 6.9; 95% confidence interval, 4.1-11.6; P <.001), and postoperative intensive care unit length of stay (coefficient, 2.3; 95% confidence interval, 2.0-2.6; P <.001) after adjusting for other covariates. Conclusions: The TPS is strongly associated with early outcomes across a wide range of ages and disease complexity and can serve as important tool for self-assessment and quality improvement.