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A novel risk classification system for 30-day mortality in children undergoing surgery

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 ope...

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Autores principales: Akbilgic, Oguz, Langham, Max R., Walter, Arianne I., Jones, Tamekia L., Huang, Eunice Y., Davis, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774754/
https://www.ncbi.nlm.nih.gov/pubmed/29351327
http://dx.doi.org/10.1371/journal.pone.0191176
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author Akbilgic, Oguz
Langham, Max R.
Walter, Arianne I.
Jones, Tamekia L.
Huang, Eunice Y.
Davis, Robert L.
author_facet Akbilgic, Oguz
Langham, Max R.
Walter, Arianne I.
Jones, Tamekia L.
Huang, Eunice Y.
Davis, Robert L.
author_sort Akbilgic, Oguz
collection PubMed
description 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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spelling pubmed-57747542018-02-05 A novel risk classification system for 30-day mortality in children undergoing surgery Akbilgic, Oguz Langham, Max R. Walter, Arianne I. Jones, Tamekia L. Huang, Eunice Y. Davis, Robert L. PLoS One Research Article 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. Public Library of Science 2018-01-19 /pmc/articles/PMC5774754/ /pubmed/29351327 http://dx.doi.org/10.1371/journal.pone.0191176 Text en © 2018 Akbilgic et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Akbilgic, Oguz
Langham, Max R.
Walter, Arianne I.
Jones, Tamekia L.
Huang, Eunice Y.
Davis, Robert L.
A novel risk classification system for 30-day mortality in children undergoing surgery
title A novel risk classification system for 30-day mortality in children undergoing surgery
title_full A novel risk classification system for 30-day mortality in children undergoing surgery
title_fullStr A novel risk classification system for 30-day mortality in children undergoing surgery
title_full_unstemmed A novel risk classification system for 30-day mortality in children undergoing surgery
title_short A novel risk classification system for 30-day mortality in children undergoing surgery
title_sort novel risk classification system for 30-day mortality in children undergoing surgery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774754/
https://www.ncbi.nlm.nih.gov/pubmed/29351327
http://dx.doi.org/10.1371/journal.pone.0191176
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