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Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula
BACKGROUND: Laparostomy or Open Abdomen (OA) has matured into an effective strategy in the management of abdominal catastrophe. Single prognostic factors have been identified in a previous systematic review regarding entero‐atmospheric fistula (EAF). Unfortunately, no prognostic multivariable model...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303347/ https://www.ncbi.nlm.nih.gov/pubmed/35119771 http://dx.doi.org/10.1111/ans.17512 |
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author | Cristaudo, Adam T. Hitos, Kerry Gunnarsson, Ronny Decosta, Alan |
author_facet | Cristaudo, Adam T. Hitos, Kerry Gunnarsson, Ronny Decosta, Alan |
author_sort | Cristaudo, Adam T. |
collection | PubMed |
description | BACKGROUND: Laparostomy or Open Abdomen (OA) has matured into an effective strategy in the management of abdominal catastrophe. Single prognostic factors have been identified in a previous systematic review regarding entero‐atmospheric fistula (EAF). Unfortunately, no prognostic multivariable model for EAF exist. The aim was to develop and validate a multivariable prediction model from a retrospective cohort study involving three hospital's databases. METHODS: Fifty‐seven variables were evaluated to develop a multivariable model. Univariate and multivariable logistic regression analyses were performed for on a developmental data set from two hospitals. Receiver operator characteristics analysis with area under the curve (AUC) and 95% confidence intervals (CI) were performed on the developmental data set (internal validation) as well as on an additional validation data set from another hospital (external validation). RESULTS: Five‐hundred and forty‐eight patients managed with an OA. Two variables remained in the multivariable prediction model for EAF. The AUC for EAF on internal validation were 0.74 (95% CI: 0.58–0.86) and 0.79 (95% CI: 0.67–0.92) on external validation. CONCLUSIONS: A multivariable prediction model for EAF was externally validated and an easy‐to‐use probability nomogram was constructed using the two predictor variables. Level of evidence: III; prognostic. |
format | Online Article Text |
id | pubmed-9303347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-93033472022-07-22 Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula Cristaudo, Adam T. Hitos, Kerry Gunnarsson, Ronny Decosta, Alan ANZ J Surg General Surgery BACKGROUND: Laparostomy or Open Abdomen (OA) has matured into an effective strategy in the management of abdominal catastrophe. Single prognostic factors have been identified in a previous systematic review regarding entero‐atmospheric fistula (EAF). Unfortunately, no prognostic multivariable model for EAF exist. The aim was to develop and validate a multivariable prediction model from a retrospective cohort study involving three hospital's databases. METHODS: Fifty‐seven variables were evaluated to develop a multivariable model. Univariate and multivariable logistic regression analyses were performed for on a developmental data set from two hospitals. Receiver operator characteristics analysis with area under the curve (AUC) and 95% confidence intervals (CI) were performed on the developmental data set (internal validation) as well as on an additional validation data set from another hospital (external validation). RESULTS: Five‐hundred and forty‐eight patients managed with an OA. Two variables remained in the multivariable prediction model for EAF. The AUC for EAF on internal validation were 0.74 (95% CI: 0.58–0.86) and 0.79 (95% CI: 0.67–0.92) on external validation. CONCLUSIONS: A multivariable prediction model for EAF was externally validated and an easy‐to‐use probability nomogram was constructed using the two predictor variables. Level of evidence: III; prognostic. John Wiley & Sons Australia, Ltd 2022-02-04 2022-05 /pmc/articles/PMC9303347/ /pubmed/35119771 http://dx.doi.org/10.1111/ans.17512 Text en © 2022 The Authors. ANZ Journal of Surgery published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Surgeons. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | General Surgery Cristaudo, Adam T. Hitos, Kerry Gunnarsson, Ronny Decosta, Alan Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
title | Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
title_full | Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
title_fullStr | Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
title_full_unstemmed | Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
title_short | Development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
title_sort | development and validation of a multivariable prediction model in open abdomen patients for entero‐atmospheric fistula |
topic | General Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303347/ https://www.ncbi.nlm.nih.gov/pubmed/35119771 http://dx.doi.org/10.1111/ans.17512 |
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