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Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19

We aimed to evaluate the ability of parasternal intercostal thickening fraction (PIC TF) to predict the need for mechanical ventilation, and survival in subjects with severe Coronavirus disease-2019 (COVID-19). This prospective observational study included adult subjects with severe COVID-19. The fo...

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Autores principales: Helmy, Mina A., Milad, Lydia M., Hasanin, Ahmed M., Mostafa, Maha, Mannaa, Asser H., Youssef, Marianne M., Abdelaziz, Mahmoud, Alkonaiesy, Ramy, Elshal, Mamdouh Mahmoud, Hosny, Osama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037364/
https://www.ncbi.nlm.nih.gov/pubmed/36961635
http://dx.doi.org/10.1007/s10877-023-00989-4
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author Helmy, Mina A.
Milad, Lydia M.
Hasanin, Ahmed M.
Mostafa, Maha
Mannaa, Asser H.
Youssef, Marianne M.
Abdelaziz, Mahmoud
Alkonaiesy, Ramy
Elshal, Mamdouh Mahmoud
Hosny, Osama
author_facet Helmy, Mina A.
Milad, Lydia M.
Hasanin, Ahmed M.
Mostafa, Maha
Mannaa, Asser H.
Youssef, Marianne M.
Abdelaziz, Mahmoud
Alkonaiesy, Ramy
Elshal, Mamdouh Mahmoud
Hosny, Osama
author_sort Helmy, Mina A.
collection PubMed
description We aimed to evaluate the ability of parasternal intercostal thickening fraction (PIC TF) to predict the need for mechanical ventilation, and survival in subjects with severe Coronavirus disease-2019 (COVID-19). This prospective observational study included adult subjects with severe COVID-19. The following data were collected within 12 h of admission: PIC TF, respiratory rate oxygenation index, [Formula: see text]  ratio, chest CT, and acute physiology and chronic health evaluation II score. The ability of PIC TF to predict the need for ventilatory support (primary outcome) and a composite of invasive mechanical ventilation and/or 30-days mortality were performed using the area under the receiver operating characteristic (AUC) analysis. Multivariate analysis was done to identify the independent predictors for the outcomes. Fifty subjects were available for the final evaluation. The AUC (95% confidence interval [CI]) for the right and left PIC TF ability to predict the need for ventilator support was 0.94 (0.83–0.99), 0.94 (0.84–0.99), respectively, with a cut off value of > 8.3% and positive predictive value of 90–100%. The AUC for the right and left PIC TF to predict invasive mechanical ventilation and/or 30 days mortality was 0.95 (0.85–0.99) and 0.90 (0.78–0.97), respectively. In the multivariate analysis, only the PIC TF was found to independently predict invasive mechanical ventilation and/or 30-days mortality. In subjects with severe COVID-19, PIC TF of 8.3% can predict the need to ventilatory support with a positive predictive value of 90–100%. PIC TF is an independent risk factor for the need for invasive mechanical ventilation and/or 30-days mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10877-023-00989-4.
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spelling pubmed-100373642023-03-24 Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19 Helmy, Mina A. Milad, Lydia M. Hasanin, Ahmed M. Mostafa, Maha Mannaa, Asser H. Youssef, Marianne M. Abdelaziz, Mahmoud Alkonaiesy, Ramy Elshal, Mamdouh Mahmoud Hosny, Osama J Clin Monit Comput Original Research We aimed to evaluate the ability of parasternal intercostal thickening fraction (PIC TF) to predict the need for mechanical ventilation, and survival in subjects with severe Coronavirus disease-2019 (COVID-19). This prospective observational study included adult subjects with severe COVID-19. The following data were collected within 12 h of admission: PIC TF, respiratory rate oxygenation index, [Formula: see text]  ratio, chest CT, and acute physiology and chronic health evaluation II score. The ability of PIC TF to predict the need for ventilatory support (primary outcome) and a composite of invasive mechanical ventilation and/or 30-days mortality were performed using the area under the receiver operating characteristic (AUC) analysis. Multivariate analysis was done to identify the independent predictors for the outcomes. Fifty subjects were available for the final evaluation. The AUC (95% confidence interval [CI]) for the right and left PIC TF ability to predict the need for ventilator support was 0.94 (0.83–0.99), 0.94 (0.84–0.99), respectively, with a cut off value of > 8.3% and positive predictive value of 90–100%. The AUC for the right and left PIC TF to predict invasive mechanical ventilation and/or 30 days mortality was 0.95 (0.85–0.99) and 0.90 (0.78–0.97), respectively. In the multivariate analysis, only the PIC TF was found to independently predict invasive mechanical ventilation and/or 30-days mortality. In subjects with severe COVID-19, PIC TF of 8.3% can predict the need to ventilatory support with a positive predictive value of 90–100%. PIC TF is an independent risk factor for the need for invasive mechanical ventilation and/or 30-days mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10877-023-00989-4. Springer Netherlands 2023-03-24 2023 /pmc/articles/PMC10037364/ /pubmed/36961635 http://dx.doi.org/10.1007/s10877-023-00989-4 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/) .
spellingShingle Original Research
Helmy, Mina A.
Milad, Lydia M.
Hasanin, Ahmed M.
Mostafa, Maha
Mannaa, Asser H.
Youssef, Marianne M.
Abdelaziz, Mahmoud
Alkonaiesy, Ramy
Elshal, Mamdouh Mahmoud
Hosny, Osama
Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
title Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
title_full Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
title_fullStr Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
title_full_unstemmed Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
title_short Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
title_sort parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe covid-19
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037364/
https://www.ncbi.nlm.nih.gov/pubmed/36961635
http://dx.doi.org/10.1007/s10877-023-00989-4
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