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A scoring system to predict mortality in infants with esophageal atresia: A case–control study
Esophageal atresia (EA) is a rare anomaly that mandates surgical intervention. Patients with EA often have complicated medical courses due to both esophageal anomalies and related comorbidities. Although several prognostic classification systems have been developed to decrease the mortality rate in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556231/ https://www.ncbi.nlm.nih.gov/pubmed/28796065 http://dx.doi.org/10.1097/MD.0000000000007755 |
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author | Li, Xiao-Wen Jiang, Ya-Jun Wang, Xue-Qiu Yu, Jia-Lin Li, Lu-Quan |
author_facet | Li, Xiao-Wen Jiang, Ya-Jun Wang, Xue-Qiu Yu, Jia-Lin Li, Lu-Quan |
author_sort | Li, Xiao-Wen |
collection | PubMed |
description | Esophageal atresia (EA) is a rare anomaly that mandates surgical intervention. Patients with EA often have complicated medical courses due to both esophageal anomalies and related comorbidities. Although several prognostic classification systems have been developed to decrease the mortality rate in EA, most systems focus only on the influence of the major anomaly, and external risk factors that could be influenced by the neonatal caregivers to a certain extent are not included. The aim of this study was to investigate the risk factors for in-hospital mortality in neonates with EA and develop a scoring model to predict mortality. In total, 198 infants with EA who were treated with surgical intervention at the Children's Hospital of Chongqing Medical University between March 2004 and June 2016 were included. The demographic information, clinical manifestations, laboratory testing, and outcomes during hospitalization were analyzed retrospectively. A predictive scoring model was developed according to the regression coefficients of the risk factors. The mortality rate was 18.1% (36/198). In the univariate analysis, higher incidences of prematurity, low birth weight, long gap, anastomotic leak, respiratory failure, postoperative sepsis, respiratory distress syndrome, pneumothorax, and septic shock were found in the nonsurvivor group than in the survivor group (P < .05). In the logistic regression analysis, anastomotic leak (OR: 10.75, 95% CI: 3.113–37.128), respiratory failure (OR: 4.104, 95% CI: 2.292–7.355), postoperative sepsis (OR: 3.564, 95% CI: 1.516–8.375), and low birth weight (OR: 8.379, 95% CI: 3.357–20.917) were associated with a high mortality rate. A scoring model for predicting death was developed with a sensitivity of 0.861, a specificity of 0.827, a positive predictive value of 0.524, and a negative predictive value of 0.963 at a cutoff of 2 points. The area under the receiver-operating characteristic curve of the score was 0.905 (95% CI, 0.863–0.948, P = .000) for death from EA. The mortality rate increased rapidly as the scores increased, and all patients with scores ≥5 died. Anastomotic leak, respiratory failure, postoperative sepsis, and low birth weight are independent risk factors for mortality in EA. Infants with a predictive score of 5 had a high risk of death. |
format | Online Article Text |
id | pubmed-5556231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-55562312017-08-25 A scoring system to predict mortality in infants with esophageal atresia: A case–control study Li, Xiao-Wen Jiang, Ya-Jun Wang, Xue-Qiu Yu, Jia-Lin Li, Lu-Quan Medicine (Baltimore) 6200 Esophageal atresia (EA) is a rare anomaly that mandates surgical intervention. Patients with EA often have complicated medical courses due to both esophageal anomalies and related comorbidities. Although several prognostic classification systems have been developed to decrease the mortality rate in EA, most systems focus only on the influence of the major anomaly, and external risk factors that could be influenced by the neonatal caregivers to a certain extent are not included. The aim of this study was to investigate the risk factors for in-hospital mortality in neonates with EA and develop a scoring model to predict mortality. In total, 198 infants with EA who were treated with surgical intervention at the Children's Hospital of Chongqing Medical University between March 2004 and June 2016 were included. The demographic information, clinical manifestations, laboratory testing, and outcomes during hospitalization were analyzed retrospectively. A predictive scoring model was developed according to the regression coefficients of the risk factors. The mortality rate was 18.1% (36/198). In the univariate analysis, higher incidences of prematurity, low birth weight, long gap, anastomotic leak, respiratory failure, postoperative sepsis, respiratory distress syndrome, pneumothorax, and septic shock were found in the nonsurvivor group than in the survivor group (P < .05). In the logistic regression analysis, anastomotic leak (OR: 10.75, 95% CI: 3.113–37.128), respiratory failure (OR: 4.104, 95% CI: 2.292–7.355), postoperative sepsis (OR: 3.564, 95% CI: 1.516–8.375), and low birth weight (OR: 8.379, 95% CI: 3.357–20.917) were associated with a high mortality rate. A scoring model for predicting death was developed with a sensitivity of 0.861, a specificity of 0.827, a positive predictive value of 0.524, and a negative predictive value of 0.963 at a cutoff of 2 points. The area under the receiver-operating characteristic curve of the score was 0.905 (95% CI, 0.863–0.948, P = .000) for death from EA. The mortality rate increased rapidly as the scores increased, and all patients with scores ≥5 died. Anastomotic leak, respiratory failure, postoperative sepsis, and low birth weight are independent risk factors for mortality in EA. Infants with a predictive score of 5 had a high risk of death. Wolters Kluwer Health 2017-08-11 /pmc/articles/PMC5556231/ /pubmed/28796065 http://dx.doi.org/10.1097/MD.0000000000007755 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0 |
spellingShingle | 6200 Li, Xiao-Wen Jiang, Ya-Jun Wang, Xue-Qiu Yu, Jia-Lin Li, Lu-Quan A scoring system to predict mortality in infants with esophageal atresia: A case–control study |
title | A scoring system to predict mortality in infants with esophageal atresia: A case–control study |
title_full | A scoring system to predict mortality in infants with esophageal atresia: A case–control study |
title_fullStr | A scoring system to predict mortality in infants with esophageal atresia: A case–control study |
title_full_unstemmed | A scoring system to predict mortality in infants with esophageal atresia: A case–control study |
title_short | A scoring system to predict mortality in infants with esophageal atresia: A case–control study |
title_sort | scoring system to predict mortality in infants with esophageal atresia: a case–control study |
topic | 6200 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556231/ https://www.ncbi.nlm.nih.gov/pubmed/28796065 http://dx.doi.org/10.1097/MD.0000000000007755 |
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