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BACKGROUND: Complications are associated with postoperative mortality and readmission. However, the timing of complications relative to discharge and the extent to which timing is associated with failure to rescue (FTR) and readmission after pediatric surgery is unknown. Our goal was to describe the timing of complications relative to discharge after inpatient pediatric surgery and determine the association between complication timing, FTR, and unplanned readmission. MATERIALS AND METHODS: National cohort study of patients within the NSQIP-Pediatric database who underwent inpatient surgery (2012-2019). Complications were categorized based on when they occurred relative to discharge: only pre-discharge, only post-discharge, both. The association between perioperative outcomes and the timing of postoperative complications was evaluated with multivariable hierarchical regression. RESULTS: Among 378,551 patients, 30,213 (8.0%) had at least one postoperative complication. Relative to patients with pre-discharge complications, post-discharge complications were associated with significantly decreased odds of FTR (odds ratio 0.21, 95% confidence interval [0.15-0.28]) and significantly increased odds of readmission (odds ratio 19.37 [17.93-20.92]). Odds of FTR and readmission in patients with complications occurring both before and after discharge were similar to that of patients with only post-discharge complications. CONCLUSIONS: FTR and readmission are associated with complications occurring at different times relative to discharge (FTR primarily pre-discharge; readmission primarily post-discharge). This suggests a 'one size fits all' approach to surgical quality improvement may not be effective and different approaches are needed to address different quality indicators.
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INTRODUCTION: Reliance on International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis codes may misclassify perforated appendicitis with resultant research, fiscal, and public health implications. We aimed to improve the accuracy of administrative data for perforated appendicitis classification relying on ICD-10-CM codes from 2015 to 2018. METHODS: We conducted a retrospective study of randomly sampled patients aged ≤18 years diagnosed with acute appendicitis from eight children's hospitals. Patients were identified using the Pediatric Health Information System, and true perforation status was determined by medical record review. We developed two algorithms by leveraging Pediatric Health Information System data elements and data mining (DM) approaches. The two developed algorithm performance was compared against algorithms that exclusively relied on ICD-10-CM codes using area under the curve and other measures. RESULTS: Of 1051 clinically validated encounters that were included, 383 (36.4%) patients were identified to have perforated appendicitis. The two algorithms developed using DM approaches primarily leveraged ICD-10-CM codes and length of stay. DM-developed algorithms had a significantly higher accuracy than algorithms relying exclusively on ICD-10-CM (P value < 0.01): sensitivity and specificity for DM-developed algorithms were 0.86-0.88 and 0.95-0.97, respectively, which were overall higher than algorithms that relied on only ICD-10-CM. CONCLUSIONS: This study provides an algorithm that can improve the accuracy of perforated appendicitis classification using commonly available elements in administrative data. We recommend that this algorithm is used in future appendicitis classification to ensure valid reporting, hospital-level benchmarking, and fiscal or public health assessments.
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Algoritmos , Apendicitis , Clasificación Internacional de Enfermedades , Humanos , Apendicitis/clasificación , Apendicitis/diagnóstico , Niño , Estudios Retrospectivos , Clasificación Internacional de Enfermedades/normas , Masculino , Femenino , Adolescente , Preescolar , Minería de Datos , Exactitud de los DatosRESUMEN
BACKGROUND: The association of an individual's social determinants of health-related problems with surgical outcomes has not been well-characterized. The objective of this study was to determine whether documentation of social determinants of a health-related diagnosis code (Z code) is associated with postoperative outcomes. METHODS: This retrospective cohort study included surgical cases from a single institution's national surgical quality improvement program (NSQIP) clinical registry from October 2015 to December 2021. The primary predictor of interest was documentation of a Z code for social determinants of health-related problems. The primary outcome was 30-day postoperative morbidity. Secondary outcomes included postoperative length of stay, disposition, and 30-day postoperative mortality, reoperation, and readmission. Multivariable regression models were fit to evaluate the association between the documentation of a Z code and outcomes. RESULTS: Of 10,739 surgical cases, 348 patients (3.2%) had a documented social determinants of health-related Z code. In multivariable analysis, documentation of a Z code was associated with increased odds of morbidity (20.7% vs. 9.9%; adjusted odds ratio [aOR], 1.88; 95% confidence interval [CI], 1.39-2.53), length of stay (median, 3 vs. 1 day; incidence rate ratio, 1.49; 95% CI, 1.33-1.67), odds of disposition to a location other than home (11.3% vs. 3.9%; aOR, 2.86; 95% CI, 1.89-4.33), and odds of readmission (15.3% vs. 6.1%; aOR, 1.99; 95% CI, 1.45-2.73). CONCLUSIONS: Social determinants of health-related problems evaluated using Z codes were associated with worse postoperative outcomes. Improved documentation of social determinants of health-related problems among surgical patients may facilitate improved risk stratification, perioperative planning, and clinical outcomes.
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Complicaciones Posoperatorias , Determinantes Sociales de la Salud , Humanos , Determinantes Sociales de la Salud/estadística & datos numéricos , Masculino , Femenino , Estudios Retrospectivos , Persona de Mediana Edad , Complicaciones Posoperatorias/epidemiología , Anciano , Adulto , Readmisión del Paciente/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Procedimientos Quirúrgicos Operativos/estadística & datos numéricos , Mejoramiento de la CalidadRESUMEN
PURPOSE: The most common indications for total thyroidectomy (TT) in children are malignancy and thyrotoxicosis due to Graves' disease (GD). However, the incidence of patients with GD among patients undergoing TT is unknown. This study aims to examine trends in pediatric TT. MATERIALS AND METHODS: The US Agency for Health Research and Quality Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID) was queried to identify patients who underwent TT between 1997 and 2019. Weighted national estimates were obtained. Statistical analysis was completed using univariate logistic regression and one-sided Mann-Kendall Test. RESULTS: An estimated 4803 pediatric patients underwent TT within the study years. GD was the indication in 25 % of cases. Mann-Kendall testing showed a trend toward an increasing proportion of TT for GD without reaching statistical significance (z = 1.3609, S = 12, p = 0.0688). Statistically significant univariate associations were found among those who underwent thyroidectomy for GD compared to other indications, as they were more likely to be female (ß = 0.286, 95 % CI [0.058, 0.514], p = 0.014), Black, or Hispanic (ß = 1.392 [1.064, 1.721], p < 0.001; and ß = 0.562 [0.311, 0.814], p < 0.001, respectively). Additionally, they were less likely to have private insurance (ß = -0.308 [-1.076, -0.753], p = 0.002) and more likely to live in a ZIP code associated with a median household income below the 50th percentile (ß = 0.190 [0.012, 0.369], p = 0.036). The associations with the female sex, Black race, and Hispanic race persisted in multivariate analysis. CONCLUSION: GD appears to be an increasingly prevalent indication for TT. Patient characteristics differ from those who undergo TT for other diagnoses.
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Enfermedad de Graves , Tiroidectomía , Humanos , Tiroidectomía/tendencias , Tiroidectomía/estadística & datos numéricos , Tiroidectomía/métodos , Femenino , Masculino , Estados Unidos , Niño , Enfermedad de Graves/cirugía , Adolescente , Preescolar , Incidencia , Neoplasias de la Tiroides/cirugía , Bases de Datos Factuales , Tirotoxicosis/cirugía , Tirotoxicosis/epidemiología , Factores SexualesRESUMEN
Enhanced recovery protocols (ERP) have been widely adopted in adult populations, with over 30 years of experience demonstrating the effectiveness of these protocols in patients undergoing gastrointestinal (GI) surgery. In the last decade, ERPs have been applied to pediatric populations across multiple subspecialties. The objective of this manuscript is to explore the evolution of how ERPs have been implemented and adapted specifically for pediatric populations undergoing GI surgery, predominantly for inflammatory bowel disease. The reported findings reflect a thorough exploration of the literature, including initial surveys of practice/readiness assessments, consensus recommendations of expert panels, and data from a rapidly growing number of single center studies. These efforts have culminated in a national prospective, multicenter trial evaluating clinical and implementation outcomes for enhanced recovery in children undergoing GI surgery. In short, this historical and clinical review reflects on the evolution of ERPs in pediatric surgery and expounds upon the next steps needed to apply ERPs to future pediatric populations.
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Procedimientos Quirúrgicos Electivos , Recuperación Mejorada Después de la Cirugía , Humanos , Niño , Recuperación Mejorada Después de la Cirugía/normas , Procedimientos Quirúrgicos Electivos/métodos , Procedimientos Quirúrgicos del Sistema Digestivo/métodos , Enfermedades Inflamatorias del Intestino/cirugía , Intestinos/cirugía , Intestinos/fisiologíaRESUMEN
Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in tandem. Using Machine Learning (ML), this paper aims to holistically evaluate player-, team-, and conference (season)-level performances in Division-1 Women's basketball. The players were monitored and tested through a full competitive year. The performance was quantified at the player level using the reactive strength index modified (RSImod), at the team level by the game score (GS) metric, and finally at the conference level through Player Efficiency Rating (PER). The data includes parameters from training, subjective stress, sleep, and recovery (WHOOP straps), in-game statistics (Polar monitors), and countermovement jumps. We used data balancing techniques and an Extreme Gradient Boosting (XGB) classifier to predict RSI and GS with greater than 90% accuracy and a 0.9 F1 score. The XGB regressor predicted PER with an MSE of 0.026 and an R2 of 0.680. Ensemble of Random Forest, XGB, and correlation finds feature importance at all levels. We used Partial Dependence Plots to understand the impact of each feature on the target variable. Quantifying and predicting performance at all levels will allow coaches to monitor athlete readiness and help improve training.
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Rendimiento Atlético , Baloncesto , Humanos , Femenino , Atletas , Sueño , UniversidadesRESUMEN
This cohort study examines the association of principal investigator (PI) turnover with patient enrollment in surgical clinical trials.