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Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning
INTRODUCTION: The speckle tracking ultrasound is an innovative technology enabling distinct assessment of diaphragmatic movement, yet the relative data are scarce. In this pilot study, we sought to evaluate the predictive value of the weaning outcome of automatic speckle tracking in assessing diaphr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840291/ https://www.ncbi.nlm.nih.gov/pubmed/36639710 http://dx.doi.org/10.1186/s13054-022-04288-3 |
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author | Huang, Daozheng Song, Feier Luo, Bangjun Wang, Shouhong Qin, Tiehe Lin, Zhuandi Hou, Tieying Ma, Huan |
author_facet | Huang, Daozheng Song, Feier Luo, Bangjun Wang, Shouhong Qin, Tiehe Lin, Zhuandi Hou, Tieying Ma, Huan |
author_sort | Huang, Daozheng |
collection | PubMed |
description | INTRODUCTION: The speckle tracking ultrasound is an innovative technology enabling distinct assessment of diaphragmatic movement, yet the relative data are scarce. In this pilot study, we sought to evaluate the predictive value of the weaning outcome of automatic speckle tracking in assessing diaphragm excursion. METHODS: This is a prospective, multicenter, observational study. A total of 160 critically ill subjects underwent speckle-tracking ultrasonography of the right/left hemidiaphragm before the spontaneous breathing trial. Meanwhile, the diaphragm excursion and velocity values were measured manually by M-mode ultrasound. Patients were divided into weaning-failure and weaning-success groups. The correlation was assessed between automatic and manual measurement, and the diagnostic efficacy of automatic measured excursion and velocity for predicting weaning outcome was analyzed. RESULTS: A total of 88 patients completed the follow-up of the weaning outcome. The overall incidence of weaning failure was 43.18%. There was a significant correlation between the automatic measurement of mean excursion and velocity assessed by speckle tracking imaging and manual measurement (R 0.69 and 0.65, respectively). Receiver operating characteristic (ROC) curve analysis showed that the mean excursion and diaphragmatic velocity exhibited high diagnostic values for prolonged weaning [area under the ROC curve (AUROC) 0.824 and 0.786, respectively]. The diaphragmatic excursion showed moderate diagnostic value for predicting both weaning failure and in-hospital death/withdrawal of treatment (AUROC 0.659 and 0.653, respectively). CONCLUSION: Automatic speckle tracking analysis of the diaphragm showed high consistency with conventional manual ultrasound measures. Diaphragmatic excursion and its excursion velocity helped predict mechanical ventilation weaning failure, prolonged weaning, as well as in-hospital adverse outcomes, which served as a reliable tool in guiding clinical weaning strategy. KEY MESSAGE: Automatic speckle tracking analysis of the diaphragm showed high consistency with conventional manual ultrasound measures. Diaphragmatic excursion and its excursion velocity helped predict mechanical ventilation weaning failure, prolonged weaning, as well as in-hospital adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04288-3. |
format | Online Article Text |
id | pubmed-9840291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98402912023-01-15 Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning Huang, Daozheng Song, Feier Luo, Bangjun Wang, Shouhong Qin, Tiehe Lin, Zhuandi Hou, Tieying Ma, Huan Crit Care Research INTRODUCTION: The speckle tracking ultrasound is an innovative technology enabling distinct assessment of diaphragmatic movement, yet the relative data are scarce. In this pilot study, we sought to evaluate the predictive value of the weaning outcome of automatic speckle tracking in assessing diaphragm excursion. METHODS: This is a prospective, multicenter, observational study. A total of 160 critically ill subjects underwent speckle-tracking ultrasonography of the right/left hemidiaphragm before the spontaneous breathing trial. Meanwhile, the diaphragm excursion and velocity values were measured manually by M-mode ultrasound. Patients were divided into weaning-failure and weaning-success groups. The correlation was assessed between automatic and manual measurement, and the diagnostic efficacy of automatic measured excursion and velocity for predicting weaning outcome was analyzed. RESULTS: A total of 88 patients completed the follow-up of the weaning outcome. The overall incidence of weaning failure was 43.18%. There was a significant correlation between the automatic measurement of mean excursion and velocity assessed by speckle tracking imaging and manual measurement (R 0.69 and 0.65, respectively). Receiver operating characteristic (ROC) curve analysis showed that the mean excursion and diaphragmatic velocity exhibited high diagnostic values for prolonged weaning [area under the ROC curve (AUROC) 0.824 and 0.786, respectively]. The diaphragmatic excursion showed moderate diagnostic value for predicting both weaning failure and in-hospital death/withdrawal of treatment (AUROC 0.659 and 0.653, respectively). CONCLUSION: Automatic speckle tracking analysis of the diaphragm showed high consistency with conventional manual ultrasound measures. Diaphragmatic excursion and its excursion velocity helped predict mechanical ventilation weaning failure, prolonged weaning, as well as in-hospital adverse outcomes, which served as a reliable tool in guiding clinical weaning strategy. KEY MESSAGE: Automatic speckle tracking analysis of the diaphragm showed high consistency with conventional manual ultrasound measures. Diaphragmatic excursion and its excursion velocity helped predict mechanical ventilation weaning failure, prolonged weaning, as well as in-hospital adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04288-3. BioMed Central 2023-01-14 /pmc/articles/PMC9840291/ /pubmed/36639710 http://dx.doi.org/10.1186/s13054-022-04288-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Daozheng Song, Feier Luo, Bangjun Wang, Shouhong Qin, Tiehe Lin, Zhuandi Hou, Tieying Ma, Huan Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
title | Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
title_full | Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
title_fullStr | Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
title_full_unstemmed | Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
title_short | Using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
title_sort | using automatic speckle tracking imaging to measure diaphragm excursion and predict the outcome of mechanical ventilation weaning |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840291/ https://www.ncbi.nlm.nih.gov/pubmed/36639710 http://dx.doi.org/10.1186/s13054-022-04288-3 |
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