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Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings

BACKGROUND: Lung ultrasound is a non-invasive tool available at the bedside for the assessment of critically ill patients. The objective of this study was to evaluate the usefulness of lung ultrasound in assessing the severity of SARS-CoV-2 infection in critically-ill patients in a low-income settin...

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Autores principales: Beye, Seydina Alioune, Diallo, Boubacar, Keita, Modibo, Cissoko, Yacouba, Ouattara, Khadidia, Dicko, Hammadoun, Shabani, Majaliwa, Sidibé, Amadou, Berthé, Modibo, Coulibaly, Yaya Ibrahim, Diani, Nouhoum, Keita, Mohamed, Toloba, Yacouba, Dao, Sounkalo, Suttels, Veronique, Coulibaly, Youssouf, Mekontso Dessap, Armand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134692/
https://www.ncbi.nlm.nih.gov/pubmed/37103717
http://dx.doi.org/10.1186/s13613-023-01133-w
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author Beye, Seydina Alioune
Diallo, Boubacar
Keita, Modibo
Cissoko, Yacouba
Ouattara, Khadidia
Dicko, Hammadoun
Shabani, Majaliwa
Sidibé, Amadou
Berthé, Modibo
Coulibaly, Yaya Ibrahim
Diani, Nouhoum
Keita, Mohamed
Toloba, Yacouba
Dao, Sounkalo
Suttels, Veronique
Coulibaly, Youssouf
Mekontso Dessap, Armand
author_facet Beye, Seydina Alioune
Diallo, Boubacar
Keita, Modibo
Cissoko, Yacouba
Ouattara, Khadidia
Dicko, Hammadoun
Shabani, Majaliwa
Sidibé, Amadou
Berthé, Modibo
Coulibaly, Yaya Ibrahim
Diani, Nouhoum
Keita, Mohamed
Toloba, Yacouba
Dao, Sounkalo
Suttels, Veronique
Coulibaly, Youssouf
Mekontso Dessap, Armand
author_sort Beye, Seydina Alioune
collection PubMed
description BACKGROUND: Lung ultrasound is a non-invasive tool available at the bedside for the assessment of critically ill patients. The objective of this study was to evaluate the usefulness of lung ultrasound in assessing the severity of SARS-CoV-2 infection in critically-ill patients in a low-income setting. METHODS: We conducted a 12-month observational study in a university hospital intensive care unit (ICU) in Mali, on patients admitted for COVID-19 as diagnosed by a positive polymerase chain reaction for SARS-CoV-2 and/or typical lung computed tomography scan findings. RESULTS: The inclusion criteria was met by 156 patients with a median age of 59 years. Almost all patients (96%) had respiratory failure at admission and many needed respiratory support (121/156, 78%). The feasibility of lung ultrasound was very good, with 1802/1872 (96%) quadrants assessed. The reproducibility was good with an intra-class correlation coefficient of elementary patterns of 0.74 (95% CI 0.65, 0.82) and a coefficient of repeatability of lung ultrasound score < 3 for an overall score of 24. Confluent B lines were the most common lesions found in patients (155/156). The overall mean ultrasound score was 23 ± 5.4, and was significantly correlated with oxygen saturation (Pearson correlation coefficient of − 0.38, p < 0.001). More than half of the patients died (86/156, 55.1%). The factors associated with mortality, as shown by multivariable analysis, were: the patients’ age; number of organ failures; therapeutic anticoagulation, and lung ultrasound score. CONCLUSION: Lung ultrasound was feasible and contributed to characterize lung injury in critically-ill COVID-19 patients in a low income setting. Lung ultrasound score was associated with oxygenation impairment and mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-023-01133-w.
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spelling pubmed-101346922023-04-28 Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings Beye, Seydina Alioune Diallo, Boubacar Keita, Modibo Cissoko, Yacouba Ouattara, Khadidia Dicko, Hammadoun Shabani, Majaliwa Sidibé, Amadou Berthé, Modibo Coulibaly, Yaya Ibrahim Diani, Nouhoum Keita, Mohamed Toloba, Yacouba Dao, Sounkalo Suttels, Veronique Coulibaly, Youssouf Mekontso Dessap, Armand Ann Intensive Care Research BACKGROUND: Lung ultrasound is a non-invasive tool available at the bedside for the assessment of critically ill patients. The objective of this study was to evaluate the usefulness of lung ultrasound in assessing the severity of SARS-CoV-2 infection in critically-ill patients in a low-income setting. METHODS: We conducted a 12-month observational study in a university hospital intensive care unit (ICU) in Mali, on patients admitted for COVID-19 as diagnosed by a positive polymerase chain reaction for SARS-CoV-2 and/or typical lung computed tomography scan findings. RESULTS: The inclusion criteria was met by 156 patients with a median age of 59 years. Almost all patients (96%) had respiratory failure at admission and many needed respiratory support (121/156, 78%). The feasibility of lung ultrasound was very good, with 1802/1872 (96%) quadrants assessed. The reproducibility was good with an intra-class correlation coefficient of elementary patterns of 0.74 (95% CI 0.65, 0.82) and a coefficient of repeatability of lung ultrasound score < 3 for an overall score of 24. Confluent B lines were the most common lesions found in patients (155/156). The overall mean ultrasound score was 23 ± 5.4, and was significantly correlated with oxygen saturation (Pearson correlation coefficient of − 0.38, p < 0.001). More than half of the patients died (86/156, 55.1%). The factors associated with mortality, as shown by multivariable analysis, were: the patients’ age; number of organ failures; therapeutic anticoagulation, and lung ultrasound score. CONCLUSION: Lung ultrasound was feasible and contributed to characterize lung injury in critically-ill COVID-19 patients in a low income setting. Lung ultrasound score was associated with oxygenation impairment and mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-023-01133-w. Springer International Publishing 2023-04-27 /pmc/articles/PMC10134692/ /pubmed/37103717 http://dx.doi.org/10.1186/s13613-023-01133-w Text en © The Author(s) 2023, corrected publication 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 Research
Beye, Seydina Alioune
Diallo, Boubacar
Keita, Modibo
Cissoko, Yacouba
Ouattara, Khadidia
Dicko, Hammadoun
Shabani, Majaliwa
Sidibé, Amadou
Berthé, Modibo
Coulibaly, Yaya Ibrahim
Diani, Nouhoum
Keita, Mohamed
Toloba, Yacouba
Dao, Sounkalo
Suttels, Veronique
Coulibaly, Youssouf
Mekontso Dessap, Armand
Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings
title Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings
title_full Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings
title_fullStr Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings
title_full_unstemmed Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings
title_short Assessment of lung injury severity using ultrasound in critically ill COVID-19 patients in resource limited settings
title_sort assessment of lung injury severity using ultrasound in critically ill covid-19 patients in resource limited settings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134692/
https://www.ncbi.nlm.nih.gov/pubmed/37103717
http://dx.doi.org/10.1186/s13613-023-01133-w
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