Introduction: This study aims to characterize the delivery of pediatric surgical care based on hospital volume stratified by disease severity, geography, and specialty. Longitudinal regionalization over the 10-year study period is noted and further explored. Methods: The Kids’ Inpatient Database (KID) was queried from 2000 to 2009 for patients <18 years undergoing noncardiac surgery. Hospitals nationwide were grouped into commutable regions and identified as high-volume centers (HVCs) if they had more than 1000 weighted procedures per year. Regions that had at least one HVC and one or more additional lower volume center were included for analysis. Low-risk, high-risk neonatal, and surgical subspecialties were analyzed separately. Results: A total of 385,242 weighted pediatric surgical admissions in 33 geographical regions and 224 hospitals were analyzed. Overall, HVCs comprised 33 (14.7%) hospitals, medium-volume center (MVC) 33 (14.7%), and low-volume center (LVC) 158 (70.5%). The four low-risk procedures analyzed were increasingly regionalized: appendectomy (52% in HVCs in 2000 to 60% in 2009, P < 0.001), fracture reduction (63% to 68%, P < 0.001), cholecystectomy (54% to 63%, P < 0.001), and pyloromyotomy (65% to 85%, P < 0.001). Neonatal surgery showed significant regionalization trends for tracheoesophageal fistula (66% to 87%, P < 0.001) and gastroschisis (76% to 89%, P < 0.001). Conclusions: This is the first large-scale, multi-region analysis to demonstrate that pediatric surgical care has transitioned to HVCs over a recent decade, particularly for low-risk patients. It is important for practitioners and policymakers alike to understand such volume trends in order to ensure hospital capacity while maintaining an optimal quality of care.

BACKGROUND AND OBJECTIVE: There is a lack of broadly applicable measures for risk adjustment in pediatric surgical patients necessary for improving outcomes and patient safety. Our objective was to develop a risk stratification model that predicts mortality after surgical operations in children. METHODS: The model was created by using inpatient databases from 1988 to 2006. Patients younger than 18 years who underwent an inpatient surgical procedure as identified by using the International Classification of Diseases, Ninth Revision, Clinical Modification, coding were included. A 7-point scale was developed with 70 variables selected for their predictive value for mortality using multivariate analysis. This model was evaluated with receiver operating characteristic (ROC) analysis and compared with the Charlson Comorbidity Index (CCI) in two separate validation data sets. RESULTS: A total of 2 087 915 patients were identified in the training data set. Generated risk scores positively correlated with inpatient mortality. In the training data set, the ROC was 0.949 (95% confidence interval [CI]: 0.947, 0.950). In the first validation data set, the ROC was 0.959 (95% CI: 0.952, 0.967) compared with the CCI ROC of 0.596 (95% CI: 0.575, 0.616). In the second validation data set, the ROC was 0.901 (95% CI: 0.885, 0.917) and the CCI ROC was 0.587 (95% CI: 0.562, 0.611). CONCLUSIONS: This study depicts creation of a broadly applicable model for risk adjustment that predicts inpatient mortality with more reliability than current risk indexes in pediatric surgical patients. This risk index will allow comorbidity-adjusted outcomes broadly in pediatric surgery.