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Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis

BACKGROUND: Weaning failure is common in mechanically ventilated patients. Whether ultrasound can predict weaning outcome remains controversial. This meta-analysis was performed to assess the accuracy of diaphragmatic ultrasonography for predicting reintubation within 48 hours of extubation. METHODS...

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Autores principales: Li, Caifeng, Li, Xin, Han, Hongqiu, Cui, Hailong, Wang, Guolin, Wang, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392953/
https://www.ncbi.nlm.nih.gov/pubmed/29851847
http://dx.doi.org/10.1097/MD.0000000000010968
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author Li, Caifeng
Li, Xin
Han, Hongqiu
Cui, Hailong
Wang, Guolin
Wang, Zhiqiang
author_facet Li, Caifeng
Li, Xin
Han, Hongqiu
Cui, Hailong
Wang, Guolin
Wang, Zhiqiang
author_sort Li, Caifeng
collection PubMed
description BACKGROUND: Weaning failure is common in mechanically ventilated patients. Whether ultrasound can predict weaning outcome remains controversial. This meta-analysis was performed to assess the accuracy of diaphragmatic ultrasonography for predicting reintubation within 48 hours of extubation. METHODS: Literature search was performed in PubMed, Embase, and Cochrane Library to identify all the relevant papers, published in English up to July 16, 2017. Eligible studies were included if data were in adequate details to rebuild 2 × 2 contingency tables. Methodological quality of the included studies was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) in Review Manager 5.3. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curve were pooled using the fixed or random effects model, meanwhile, the heterogeneity was evaluated using Cochran Q test and I(2) statistics in Meta-DiSc 1.4. Publication bias was assessed using Deeks funnel plot in Stata 12.0. RESULTS: Thirteen studies with 742 subjects were included in this meta-analysis. The pooled sensitivities for diaphragm excursion (DE) and diaphragm thickness fraction (DTF) were 0.786 and 0.893, and the pooled specificities were 0.711 and 0.796, respectively. The area under curve (AUC) for DE and DTF were 0.8590 and 0.8381. The DORs for DE and DTF were 10.623 and 32.521. No publication bias was observed among these studies. CONCLUSIONS: Diaphragmatic ultrasonography is a promising tool for predicting reintubation within 48 hours of extubation. However, due to heterogeneities among the included studies, large-scale studies are warranted to confirm our findings.
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spelling pubmed-63929532019-03-15 Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis Li, Caifeng Li, Xin Han, Hongqiu Cui, Hailong Wang, Guolin Wang, Zhiqiang Medicine (Baltimore) Research Article BACKGROUND: Weaning failure is common in mechanically ventilated patients. Whether ultrasound can predict weaning outcome remains controversial. This meta-analysis was performed to assess the accuracy of diaphragmatic ultrasonography for predicting reintubation within 48 hours of extubation. METHODS: Literature search was performed in PubMed, Embase, and Cochrane Library to identify all the relevant papers, published in English up to July 16, 2017. Eligible studies were included if data were in adequate details to rebuild 2 × 2 contingency tables. Methodological quality of the included studies was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) in Review Manager 5.3. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curve were pooled using the fixed or random effects model, meanwhile, the heterogeneity was evaluated using Cochran Q test and I(2) statistics in Meta-DiSc 1.4. Publication bias was assessed using Deeks funnel plot in Stata 12.0. RESULTS: Thirteen studies with 742 subjects were included in this meta-analysis. The pooled sensitivities for diaphragm excursion (DE) and diaphragm thickness fraction (DTF) were 0.786 and 0.893, and the pooled specificities were 0.711 and 0.796, respectively. The area under curve (AUC) for DE and DTF were 0.8590 and 0.8381. The DORs for DE and DTF were 10.623 and 32.521. No publication bias was observed among these studies. CONCLUSIONS: Diaphragmatic ultrasonography is a promising tool for predicting reintubation within 48 hours of extubation. However, due to heterogeneities among the included studies, large-scale studies are warranted to confirm our findings. Wolters Kluwer Health 2018-06-01 /pmc/articles/PMC6392953/ /pubmed/29851847 http://dx.doi.org/10.1097/MD.0000000000010968 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Li, Caifeng
Li, Xin
Han, Hongqiu
Cui, Hailong
Wang, Guolin
Wang, Zhiqiang
Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis
title Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis
title_full Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis
title_fullStr Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis
title_full_unstemmed Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis
title_short Diaphragmatic ultrasonography for predicting ventilator weaning: A meta-analysis
title_sort diaphragmatic ultrasonography for predicting ventilator weaning: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392953/
https://www.ncbi.nlm.nih.gov/pubmed/29851847
http://dx.doi.org/10.1097/MD.0000000000010968
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