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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5774754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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