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Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19
BACKGROUND: COVID-19 has become a pandemic since December 2019, causing millions of deaths worldwide. It has a wide spectrum of severity, ranging from mild infection to severe illness requiring mechanical ventilation. In the middle of a pandemic, when medical resources (including mechanical ventilat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kowsar
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314086/ https://www.ncbi.nlm.nih.gov/pubmed/34336617 http://dx.doi.org/10.5812/aapm.112424 |
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author | Kafan, Samira Tadbir Vajargah, Kiana Sheikhvatan, Mehrdad Tabrizi, Gholamreza Salimzadeh, Ahmad Montazeri, Mahnaz Majidi, Fazeleh Maghuli, Negin Pazoki, Marzieh |
author_facet | Kafan, Samira Tadbir Vajargah, Kiana Sheikhvatan, Mehrdad Tabrizi, Gholamreza Salimzadeh, Ahmad Montazeri, Mahnaz Majidi, Fazeleh Maghuli, Negin Pazoki, Marzieh |
author_sort | Kafan, Samira |
collection | PubMed |
description | BACKGROUND: COVID-19 has become a pandemic since December 2019, causing millions of deaths worldwide. It has a wide spectrum of severity, ranging from mild infection to severe illness requiring mechanical ventilation. In the middle of a pandemic, when medical resources (including mechanical ventilators) are scarce, there should be a scoring system to provide the clinicians with the information needed for clinical decision-making and resource allocation. OBJECTIVES: This study aimed to develop a scoring system based on the data obtained on admission, to predict the need for mechanical ventilation in COVID-19 patients. METHODS: This study included COVID-19 patients admitted to Sina Hospital, Tehran University of Medical Sciences from February 20 to May 29, 2020. Patients' data on admission were retrospectively recruited from Sina Hospital COVID-19 Registry (SHCo-19R). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to identify the predictive factors for mechanical ventilation. RESULTS: A total of 681 patients were included in the study; 74 patients (10.9%) needed mechanical ventilation during hospitalization, while 607 (89.1%) did not. Multivariate logistic analysis revealed that age (OR,1.049; 95% CI:1.008-1.091), history of diabetes mellitus (OR,3.216; 95% CI:1.134-9.120), respiratory rate (OR,1.051; 95% CI:1.005-1.100), oxygen saturation (OR,0.928; 95% CI:0.872-0.989), CRP (OR,1.013; 95% CI:1.001-1.024) and bicarbonate level (OR,0.886; 95% CI:0.790-0.995) were risk factors for mechanical ventilation during hospitalization. CONCLUSIONS: A risk score has been developed based on the available data within the first hours of hospital admission to predict the need for mechanical ventilation. This risk score should be further validated to determine its applicability in other populations. |
format | Online Article Text |
id | pubmed-8314086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Kowsar |
record_format | MEDLINE/PubMed |
spelling | pubmed-83140862021-07-29 Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 Kafan, Samira Tadbir Vajargah, Kiana Sheikhvatan, Mehrdad Tabrizi, Gholamreza Salimzadeh, Ahmad Montazeri, Mahnaz Majidi, Fazeleh Maghuli, Negin Pazoki, Marzieh Anesth Pain Med Research Article BACKGROUND: COVID-19 has become a pandemic since December 2019, causing millions of deaths worldwide. It has a wide spectrum of severity, ranging from mild infection to severe illness requiring mechanical ventilation. In the middle of a pandemic, when medical resources (including mechanical ventilators) are scarce, there should be a scoring system to provide the clinicians with the information needed for clinical decision-making and resource allocation. OBJECTIVES: This study aimed to develop a scoring system based on the data obtained on admission, to predict the need for mechanical ventilation in COVID-19 patients. METHODS: This study included COVID-19 patients admitted to Sina Hospital, Tehran University of Medical Sciences from February 20 to May 29, 2020. Patients' data on admission were retrospectively recruited from Sina Hospital COVID-19 Registry (SHCo-19R). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to identify the predictive factors for mechanical ventilation. RESULTS: A total of 681 patients were included in the study; 74 patients (10.9%) needed mechanical ventilation during hospitalization, while 607 (89.1%) did not. Multivariate logistic analysis revealed that age (OR,1.049; 95% CI:1.008-1.091), history of diabetes mellitus (OR,3.216; 95% CI:1.134-9.120), respiratory rate (OR,1.051; 95% CI:1.005-1.100), oxygen saturation (OR,0.928; 95% CI:0.872-0.989), CRP (OR,1.013; 95% CI:1.001-1.024) and bicarbonate level (OR,0.886; 95% CI:0.790-0.995) were risk factors for mechanical ventilation during hospitalization. CONCLUSIONS: A risk score has been developed based on the available data within the first hours of hospital admission to predict the need for mechanical ventilation. This risk score should be further validated to determine its applicability in other populations. Kowsar 2021-04-21 /pmc/articles/PMC8314086/ /pubmed/34336617 http://dx.doi.org/10.5812/aapm.112424 Text en Copyright © 2021, Author(s) https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited. |
spellingShingle | Research Article Kafan, Samira Tadbir Vajargah, Kiana Sheikhvatan, Mehrdad Tabrizi, Gholamreza Salimzadeh, Ahmad Montazeri, Mahnaz Majidi, Fazeleh Maghuli, Negin Pazoki, Marzieh Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 |
title | Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 |
title_full | Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 |
title_fullStr | Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 |
title_full_unstemmed | Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 |
title_short | Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19 |
title_sort | predicting risk score for mechanical ventilation in hospitalized adult patients suffering from covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314086/ https://www.ncbi.nlm.nih.gov/pubmed/34336617 http://dx.doi.org/10.5812/aapm.112424 |
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