Higher Programmatic Volume in Neonatal Heart Surgery Is Associated With Lower Early Mortality

BACKGROUND: The early results of congenital heart surgery in neonates remain a challenge. We sought to determine the nature of the association between annual center volume of neonatal cardiac surgery and operative mortality using a multicenter cohort. METHODS: The dataset consists of 27,556 neonatal procedures performed between 1999 and 2015 in 90 centers participating in the European Congenital Heart Surgeons Association database. Centers with mean annual volume load of six or more that submitted data for at least 3 consecutive years were included. World Bank annual gross national index per capita was utilized as an indicator of temporal national affluence. Multilevel logistic regression was used to create a model including the significant risk factors and to calculate odds ratios for operative mortality. Iterative modeling of the dataset incrementally excluding centers with lower annual caseload was used to identify the relationship between annual volume and mortality. RESULTS: In the model thus calculated including The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) mortality score, operative weight and age, noncardiac genetic anomalies, and annual volume of operations were independent risk factors for operative mortality in the analysis of the entire cohort. In the model containing these variables, annual gross national index and year of surgery were not significantly associated with mortality. In the iterative process, annual volume ceased to be a risk factor when units operating on fewer than 60 neonates annually were excluded. CONCLUSIONS: In neonatal congenital heart surgery, the risk of operative death decreased with the increase of volume load. The cutoff point in this cohort was a mean annual volume of 60 neonatal operations per year.info:eu-repo/semantics/publishedVersio

Higher Programmatic Volume in Neonatal Heart Surgery Is Associated With Lower Early Mortality

BACKGROUND: The early results of congenital heart surgery in neonates remain a challenge. We sought to determine the nature of the association between annual center volume of neonatal cardiac surgery and operative mortality using a multicenter cohort. METHODS: The dataset consists of 27,556 neonatal procedures performed between 1999 and 2015 in 90 centers participating in the European Congenital Heart Surgeons Association database. Centers with mean annual volume load of six or more that submitted data for at least 3 consecutive years were included. World Bank annual gross national index per capita was utilized as an indicator of temporal national affluence. Multilevel logistic regression was used to create a model including the significant risk factors and to calculate odds ratios for operative mortality. Iterative modeling of the dataset incrementally excluding centers with lower annual caseload was used to identify the relationship between annual volume and mortality. RESULTS: In the model thus calculated including The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) mortality score, operative weight and age, noncardiac genetic anomalies, and annual volume of operations were independent risk factors for operative mortality in the analysis of the entire cohort. In the model containing these variables, annual gross national index and year of surgery were not significantly associated with mortality. In the iterative process, annual volume ceased to be a risk factor when units operating on fewer than 60 neonates annually were excluded. CONCLUSIONS: In neonatal congenital heart surgery, the risk of operative death decreased with the increase of volume load. The cutoff point in this cohort was a mean annual volume of 60 neonatal operations per year.info:eu-repo/semantics/publishedVersio

Initial application in the EACTS and STS Congenital Heart Surgery Databases of an empirically derived methodology of complexity adjustment to evaluate surgical case mix and results.

OBJECTIVES: Outcomes evaluation is enhanced by assignment of operative procedures to appropriate categories based upon relative average risk. Formal risk modelling is challenging when a large number of operation types exist, including relatively rare procedures. Complexity stratification provides an alternative methodology. We report the initial application in the Congenital Heart Surgery Databases of the Society of Thoracic Surgeons (STS) and the European Association for Cardio-thoracic Surgery (EACTS) of an empirically derived system of complexity adjustment to evaluate surgical case mix and results. METHODS: Complexity stratification is a method of analysis in which the data are divided into relatively homogeneous groups (called strata). A complexity stratification tool named the STS-EACTS Congenital Heart Surgery Mortality Categories (STAT Mortality Categories) was previously developed based on the analysis of 77 294 operations entered in the Congenital Heart Surgery Databases of EACTS (33 360 operations) and STS (43 934 patients). Procedure-specific mortality rate estimates were calculated using a Bayesian model that adjusted for small denominators. Operations were sorted by increasing risk and grouped into five categories (the STAT Mortality Categories) that were designed to minimize within-category variation and maximize between-category variation. We report here the initial application of this methodology in the EACTS Congenital Heart Surgery Database (47 187 operations performed over 4 years: 2006-09) and the STS Congenital Heart Surgery Database (64 307 operations performed over 4 years: 2006-09). RESULTS: In the STS Congenital Heart Surgery Database, operations classified as STAT Mortality Categories 1-5 were (1): 17332, (2): 20114, (3): 9494, (4): 14525 and (5): 2842. Discharge mortality was (1): 0.54%, (2): 1.6%, (3): 2.4%, (4): 7.5% and (5): 17.8%. In the EACTS Congenital Heart Surgery Database, operations classified as STAT Mortality Categories 1-5 were (1): 19874, (2): 12196, (3): 5614, (4): 8287 and (5): 1216. Discharge mortality was (1): 0.99%, (2): 2.9%, (3): 5.0%, (4): 10.3% and (5): 25.0%. CONCLUSIONS: The STAT Mortality Categories facilitate analysis of outcomes across the wide spectrum of distinct congenital heart surgery operations including infrequently performed procedures

Anomalous left coronary artery from pulmonary artery repair: Outcomes from the European Congenital Heart Surgeons Association Database

Introduction: We sought to determine the surgical outcomes of patients with anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) enrolled in the European Congenital Heart Surgeons Association (ECHSA) database. Materials and Methods: From 1999 to 2019, 907 patients with ALCAPA underwent surgical repair and were included in the current study. The primary outcome was in-hospital mortality. Secondary outcomes included frequency and results of concomitant mitral valve surgery and postoperative mechanical circulatory support (MCS). Results: The overall in-hospital mortality was 6% (54/907) and was significantly higher in neonates (p =.01), patients with lower body surface area (BSA) (p =.01), and those requiring postoperative MCS (p =.001). Associated mitral valve surgery was performed in 144 patients (15.9%) and was associated with longer cardiopulmonary bypass (CPB) and aortic cross-clamp times (AOX) (p 64.0001) but was not significantly related to an increase in in-hospital mortality. Postoperative MCS was required in 66 patients (7.3%). These patients were younger (p 64.001), had a lower BSA (p 64.001), and required a longer CPB (p 64.001) and AOX time (p 64.001). Conclusions: ALCAPA repair can be achieved successfully, and with low surgical risk. Concomitant mitral valve procedures can be performed without increasing operative mortality. The use of MCS remains a valuable option, especially in younger patients