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Early predictors for mechanical ventilation in COVID-19 patients

OBJECTIVE: To identify potential predictors for invasive and non-invasive mechanical ventilation in coronavirus disease 2019 (COVID-19) patients. METHODS: This study retrospectively analyzes data of 516 patients with confirmed COVID-19, who were categorized into three groups based on which mechanica...

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Autores principales: Li, Wen, Lin, Fengyu, Dai, Minhui, Chen, Lingli, Han, Duoduo, Cui, Yanhui, Pan, Pinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570781/
https://www.ncbi.nlm.nih.gov/pubmed/33054630
http://dx.doi.org/10.1177/1753466620963017
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author Li, Wen
Lin, Fengyu
Dai, Minhui
Chen, Lingli
Han, Duoduo
Cui, Yanhui
Pan, Pinhua
author_facet Li, Wen
Lin, Fengyu
Dai, Minhui
Chen, Lingli
Han, Duoduo
Cui, Yanhui
Pan, Pinhua
author_sort Li, Wen
collection PubMed
description OBJECTIVE: To identify potential predictors for invasive and non-invasive mechanical ventilation in coronavirus disease 2019 (COVID-19) patients. METHODS: This study retrospectively analyzes data of 516 patients with confirmed COVID-19, who were categorized into three groups based on which mechanical ventilation method was used during the hospitalization period. RESULTS: Among 516 confirmed cases with COVID-19, 446 patients did not receive mechanical ventilation, 38 patients received invasive mechanical ventilation (IMV) and 32 received non-invasive mechanical ventilation (NIMV). The median age of the included patients was 61 years old (interquartile range, 52–69). A total of 432 patients had one or more coexisting illnesses. The main clinical symptoms included fever (79.46%), dry cough (66.47%) and shortness of breath (46.90%). IMV and NIMV patients included more men, more coexisting illnesses and received more medication. Patients in the IMV group and NIMV had higher leukocyte and neutrophil count, lower lymphocyte count, higher aspartate aminotransferase (AST), lactate dehydrogenase (LDH), C-reactive protein (CRP), procalcitonin (PCT) and D-dimer levels and lower albumin (ALB) level. The univariate and multiple logistic regression analysis showed that the use of glucocorticoid, increased neutrophil count and LDH had a predictive role as indicators for IMV, and the use of glucocorticoid, increased neutrophil count and PCT had a predictive role as indicators for NIMV. The area under the curve (AUC) of use of glucocorticoid, increased neutrophil count and LDH was 0.885 (95% confidence interval (CI) 0.838–0.933, p < 0.0001), which provided the specificity and sensitivity 77.7% and 90.9%, respectively. AUC of the use of glucocorticoid, increased neutrophil count and PCT for NIMV was 0.888 (95% CI 0.825–0.952, p < 0.0001), which provided the specificity and sensitivity 70.3% and 96.4%, respectively. CONCLUSION: Glucocorticoid, increased neutrophil and LDH were predictive indicators for IMV, whereas glucocorticoid, increased neutrophil and PCT were predictive indicators for NIMV. In addition, the above-mentioned mediators had the most predictive meaning for mechanical ventilation when combined. The reviews of this paper are available via the supplemental material section.
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spelling pubmed-75707812020-10-27 Early predictors for mechanical ventilation in COVID-19 patients Li, Wen Lin, Fengyu Dai, Minhui Chen, Lingli Han, Duoduo Cui, Yanhui Pan, Pinhua Ther Adv Respir Dis Original Research OBJECTIVE: To identify potential predictors for invasive and non-invasive mechanical ventilation in coronavirus disease 2019 (COVID-19) patients. METHODS: This study retrospectively analyzes data of 516 patients with confirmed COVID-19, who were categorized into three groups based on which mechanical ventilation method was used during the hospitalization period. RESULTS: Among 516 confirmed cases with COVID-19, 446 patients did not receive mechanical ventilation, 38 patients received invasive mechanical ventilation (IMV) and 32 received non-invasive mechanical ventilation (NIMV). The median age of the included patients was 61 years old (interquartile range, 52–69). A total of 432 patients had one or more coexisting illnesses. The main clinical symptoms included fever (79.46%), dry cough (66.47%) and shortness of breath (46.90%). IMV and NIMV patients included more men, more coexisting illnesses and received more medication. Patients in the IMV group and NIMV had higher leukocyte and neutrophil count, lower lymphocyte count, higher aspartate aminotransferase (AST), lactate dehydrogenase (LDH), C-reactive protein (CRP), procalcitonin (PCT) and D-dimer levels and lower albumin (ALB) level. The univariate and multiple logistic regression analysis showed that the use of glucocorticoid, increased neutrophil count and LDH had a predictive role as indicators for IMV, and the use of glucocorticoid, increased neutrophil count and PCT had a predictive role as indicators for NIMV. The area under the curve (AUC) of use of glucocorticoid, increased neutrophil count and LDH was 0.885 (95% confidence interval (CI) 0.838–0.933, p < 0.0001), which provided the specificity and sensitivity 77.7% and 90.9%, respectively. AUC of the use of glucocorticoid, increased neutrophil count and PCT for NIMV was 0.888 (95% CI 0.825–0.952, p < 0.0001), which provided the specificity and sensitivity 70.3% and 96.4%, respectively. CONCLUSION: Glucocorticoid, increased neutrophil and LDH were predictive indicators for IMV, whereas glucocorticoid, increased neutrophil and PCT were predictive indicators for NIMV. In addition, the above-mentioned mediators had the most predictive meaning for mechanical ventilation when combined. The reviews of this paper are available via the supplemental material section. SAGE Publications 2020-10-14 /pmc/articles/PMC7570781/ /pubmed/33054630 http://dx.doi.org/10.1177/1753466620963017 Text en © The Author(s), 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Li, Wen
Lin, Fengyu
Dai, Minhui
Chen, Lingli
Han, Duoduo
Cui, Yanhui
Pan, Pinhua
Early predictors for mechanical ventilation in COVID-19 patients
title Early predictors for mechanical ventilation in COVID-19 patients
title_full Early predictors for mechanical ventilation in COVID-19 patients
title_fullStr Early predictors for mechanical ventilation in COVID-19 patients
title_full_unstemmed Early predictors for mechanical ventilation in COVID-19 patients
title_short Early predictors for mechanical ventilation in COVID-19 patients
title_sort early predictors for mechanical ventilation in covid-19 patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570781/
https://www.ncbi.nlm.nih.gov/pubmed/33054630
http://dx.doi.org/10.1177/1753466620963017
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