ArticlePloS one2018
A novel risk classification system for 30-day mortality in children undergoing surgery.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Predictors of mortality and short-term outcomes after emergency pediatric abdominal surgery in South-Western Uganda.World journal of pediatric surgery · 2026Article
- Prediction of peri-operative mortality in care of preterm children in non-cardiac surgery.BMC anesthesiology · 2025Article
- An analysis of neonatal mortality following gastro-intestinal and/or abdominal surgery in a tertiary hospital in South Africa.Pediatric surgery international · 2022Article
- Application of machine learning to the prediction of postoperative sepsis after appendectomy.Surgery · 2021Article
- Perioperative mortality in children in a tertiary teaching hospital in Nigeria: a prospective study.World journal of pediatric surgery · 2021Article
- A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery.Frontiers in pediatrics · 2021Article
- Epidemiology and mortality of pediatric surgical conditions: insights from a tertiary center in Uganda.Pediatric surgery international · 2019Article
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Authors and funding
6 authors.
Funding
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Abstract
A simple, objective and accurate way of grouping children undergoing surgery into clinically relevant risk groups is needed. The purpose of this study, is to develop and validate a preoperative risk classification system for postsurgical 30-day mortality for children undergoing a wide variety of operations. The National Surgical Quality Improvement Project-Pediatric participant use file data for calendar years 2012-2014 was analyzed to determine preoperative variables most associated with death within 30 days of operation (D30). Risk groups were created using classification tree analysis based on these preoperative variables. The resulting risk groups were validated using 2015 data, and applied to neonates and higher risk CPT codes to determine validity in high-risk subpopulations. A five-level risk classification was found to be most accurate. The preoperative need for ventilation, oxygen support, inotropic support, sepsis, the need for emergent surgery and a do not resuscitate order defined non-overlapping groups with observed rates of D30 that vary from 0.075% (Very Low Risk) to 38.6% (Very High Risk). When CPT codes where death was never observed are eliminated or when the system is applied to neonates, the groupings remained predictive of death in an ordinal manner.
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