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Background: The most common forms of risk adjustment for pediatric and congenital heart surgery used today are based mainly on the estimated risk of mortality of the primary procedure of the operation. The goals of this analysis were to assess the association of patient-specific preoperative factors with mortality and to determine which of these preoperative factors to include in future pediatric and congenital cardiac surgical risk models., Methods: All index cardiac operations in The Society of Thoracic Surgeons Congenital Heart Surgery Database (STS-CHSD) during 2010 through 2012 were eligible for inclusion. Patients weighing less than 2.5 kg undergoing patent ductus arteriosus closure were excluded. Centers with more than 10% missing data and patients with missing data for discharge mortality or other key variables were excluded. Rates of discharge mortality for patients with or without specific preoperative factors were assessed across age groups and were compared using Fisher's exact test., Results: In all, 25,476 operations were included (overall discharge mortality 3.7%, n=943). The prevalence of common preoperative factors and their associations with discharge mortality were determined. Associations of the following preoperative factors with discharge mortality were all highly significant (p<0.0001) for neonates, infants, and children: mechanical circulatory support, renal dysfunction, shock, and mechanical ventilation., Conclusions: Current STS-CHSD risk adjustment is based on estimated risk of mortality of the primary procedure of the operation as well as age, weight, and prematurity. The inclusion of additional patient-specific preoperative factors in risk models for pediatric and congenital cardiac surgery could lead to increased precision in predicting risk of operative mortality and comparison of observed to expected outcomes., (Copyright © 2014 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: We evaluated outcomes for groups of risk-stratified operations in The Society of Thoracic Surgeons Congenital Heart Surgery Database to provide contemporary benchmarks and examine variation between centers., Methods: Patients undergoing surgery from 2005 to 2009 were included. Centers with more than 10% missing data were excluded. Discharge mortality and postoperative length of stay (PLOS) among patients discharged alive were calculated for groups of risk-stratified operations using the five Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery Congenital Heart Surgery mortality categories (STAT Mortality Categories). Power for analyzing between-center differences in outcome was determined for each STAT Mortality Category. Variation was evaluated using funnel plots and Bayesian hierarchical modeling., Results: In this analysis of risk-stratified operations, 58,506 index operations at 73 centers were included. Overall discharge mortality (interquartile range among programs with more than 10 cases) was as follows: STAT Category 1=0.55% (0% to 1.0%), STAT Category 2=1.7% (1.0% to 2.2%), STAT Category 3=2.6% (1.1% to 4.4%), STAT Category 4=8.0% (6.3% to 11.1%), and STAT Category 5=18.4% (13.9% to 27.9%). Funnel plots with 95% prediction limits revealed the number of centers characterized as outliers by STAT Mortality Categories was as follows: Category 1=3 (4.1%), Category 2=1 (1.4%), Category 3=7 (9.7%), Category 4=13 (17.8%), and Category 5=13 (18.6%). Between-center variation in PLOS was analyzed for all STAT Categories and was greatest for STAT Category 5 operations., Conclusions: This analysis documents contemporary benchmarks for risk-stratified pediatric cardiac surgical operations grouped by STAT Mortality Categories and the range of outcomes among centers. Variation was greatest for the more complex operations. These data may aid in the design and planning of quality assessment and quality improvement initiatives., (Copyright © 2012 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: We evaluated outcomes for common operations in The Society of Thoracic Surgeons Congenital Heart Surgery Database (STS-CHSDB) to provide contemporary benchmarks and examine variation between centers., Methods: Patients undergoing surgery from 2005 to 2009 were included. Centers with greater than 10% missing data were excluded. Discharge mortality and postoperative length of stay (PLOS) among patients discharged alive were calculated for 8 benchmark operations of varying complexity. Power for analyzing between-center variation in outcome was determined for each operation. Variation was evaluated using funnel plots and Bayesian hierarchical modeling., Results: Eighteen thousand three hundred seventy-five index operations at 74 centers were included in the analysis of 8 benchmark operations. Overall discharge mortality was: ventricular septal defect (VSD) repair = 0.6% (range, 0% to 5.1%), tetralogy of Fallot (TOF) repair = 1.1% (range, 0% to 16.7%), complete atrioventricular canal repair (AVC) = 2.2% (range, 0% to 20%), arterial switch operation (ASO) = 2.9% (range, 0% to 50%), ASO + VSD = 7.0% (range, 0% to 100%), Fontan operation = 1.3% (range, 0% to 9.1%), truncus arteriosus repair = 10.9% (0% to 100%), and Norwood procedure = 19.3% (range, 0% to 100%). Funnel plots revealed that the number of centers characterized as outliers were VSD = 0, TOF = 0, AVC = 1, ASO = 3, ASO + VSD = 1, Fontan operation = 0, truncus arteriosus repair = 4, and Norwood procedure = 11. Power calculations showed that statistically meaningful comparisons of mortality rates between centers could be made only for the Norwood procedure, for which the Bayesian-estimated range (95% probability interval) after risk-adjustment was 7.0% (3.7% to 10.3%) to 41.6% (30.6% to 57.2%). Between-center variation in PLOS was analyzed for all operations and was larger for more complex operations., Conclusions: This analysis documents contemporary benchmarks for common pediatric cardiac surgical operations and the range of outcomes among centers. Variation was most prominent for the more complex operations. These data may aid in quality assessment and quality improvement initiatives., (Copyright © 2011 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Long-term evaluation of cardiothoracic surgical outcomes is a major goal of The Society of Thoracic Surgeons (STS). Linking the STS Database to the Social Security Death Master File (SSDMF) allows for the verification of "life status." This study demonstrates the feasibility of linking the STS Database to the SSDMF and examines longitudinal survival after cardiac operations., Methods: For all operations in the STS Adult Cardiac Surgery Database performed in 2008 in patients with an available Social Security Number, the SSDMF was searched for a matching Social Security Number. Survival probabilities at 30 days and 1 year were estimated for nine common operations., Results: A Social Security Number was available for 101,188 patients undergoing isolated coronary artery bypass grafting, 12,336 patients undergoing isolated aortic valve replacement, and 6,085 patients undergoing isolated mitral valve operations. One-year survival for isolated coronary artery bypass grafting was 88.9% (6,529 of 7,344) with all vein grafts, 95.2% (84,696 of 88,966) with a single mammary artery graft, 97.4% (4,422 of 4,540) with bilateral mammary artery grafts, and 95.6% (7,543 of 7,890) with all arterial grafts. One-year survival was 92.4% (11,398 of 12,336) for isolated aortic valve replacement (95.6% [2,109 of 2,206] with mechanical prosthesis and 91.7% [9,289 of 10,130] with biologic prosthesis), 86.5% (2,312 of 2,674) for isolated mitral valve replacement (91.7% [923 of 1,006] with mechanical prosthesis and 83.3% [1,389 of 1,668] with biologic prosthesis), and 96.0% (3,275 of 3,411) for isolated mitral valve repair., Conclusions: Successful linkage to the SSDMF has substantially increased the power of the STS Database. These longitudinal survival data from this large multi-institutional study provide reassurance about the durability and long-term benefits of cardiac operations and constitute a contemporary benchmark for survival after cardiac operations., (Copyright © 2011 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

The most concrete and universal outcome measure used in databases, whether governmental, professional society, research, or third-party payer, is operative mortality. To assure congruous data entry by multiple users of The Society of Thoracic Surgeons and the European Association for Cardiothoracic Surgery congenital heart surgery databases, operative mortality must be clearly defined. Traditionally, operative mortality has been defined as any death, regardless of cause, occurring (1) within 30 days after surgery in or out of the hospital, and (2) after 30 days during the same hospitalization subsequent to the operation. Differing hospital practices result in problems in use of the latter part of the definition (eg, the pediatric hospital that provides longer-term care will have higher mortality rates than one which transfers patients to another institution for such care). In addition, because of the significant number of pediatric multiple operation hospitalizations, issues of assignment of mortality to a specific operation within the hospitalization, calculation of operative mortality rates (operation based vs patient admission based), and discharge other than to home must be addressed and defined. We propose refinements to the definition of operative mortality which specifically meet the needs of our professional societies' multi-institutional registry databases, and at the same time are relevant and appropriate with respect to the goals and purposes of administrative databases, government agencies, and the general public.

Background: The analysis of the second harvest (1998-2001) of the Society of Thoracic Surgeons Congenital Heart Surgery Database included the first attempt by the STS to apply a complexity-adjustment method to evaluate congenital heart surgery results., Methods: This data harvest represents the first STS multiinstitutional experience with software utilizing the international nomenclature and database specifications adopted by the STS and the European Association for Cardio-Thoracic Surgery (April 2000 Annals of Thoracic Surgery) and the first STS Congenital Database Report incorporating a methodology facilitating complexity adjustment. This methodology, allowing for complexity adjustment, gives each operation a basic complexity score (1.5 to 15) and level (1 to 4) based upon the work of the EACTS-STS Aristotle Committee, a panel of 50 expert surgeons. The complexity scoring, based on the primary procedure (from the EACTS-STS International Nomenclature Procedures Short List), estimates complexity through three factors: mortality potential, morbidity potential, and technical difficulty., Results: This STS harvest includes data from 16 centers reporting 12,787 cases, with discharge mortality known for 10,246 cases. The basic complexity score has been applied to the outcomes analysis of these cases and a new equation has been proposed to evaluate one aspect of performance: Aristotle Performance Index = Outcome x Complexity = (Survival) x (Mean Complexity Score), Conclusions: The complexity analysis represents a basic complexity-adjustment method to evaluate surgical results. Complexity is a constant precise value for a given patient at a given point in time; performance varies between centers. Future STS congenital data harvests will incorporate a second step, the Comprehensive Aristotle Score, utilizing additional patient specific complexity modifiers to allow a more precise complexity adjustment.