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Admission SpO(2) and ROX index predict outcome in patients with COVID-19
BACKGROUND: This study aimed to evaluate the accuracy of pulse oximetry-derived oxygen saturation (SpO(2)) on room air, determined at hospital admission, as a predictor for the need for mechanical ventilatory support in patients with Coronavirus Disease-2019 (COVID-19). METHODS: In this retrospectiv...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313790/ https://www.ncbi.nlm.nih.gov/pubmed/34332217 http://dx.doi.org/10.1016/j.ajem.2021.07.049 |
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author | Mukhtar, Ahmed Rady, Ashraf Hasanin, Ahmed Lotfy, Ahmed El Adawy, Akram Hussein, Amr El-Hefnawy, Islam Hassan, Mohamed Mostafa, Hanan |
author_facet | Mukhtar, Ahmed Rady, Ashraf Hasanin, Ahmed Lotfy, Ahmed El Adawy, Akram Hussein, Amr El-Hefnawy, Islam Hassan, Mohamed Mostafa, Hanan |
author_sort | Mukhtar, Ahmed |
collection | PubMed |
description | BACKGROUND: This study aimed to evaluate the accuracy of pulse oximetry-derived oxygen saturation (SpO(2)) on room air, determined at hospital admission, as a predictor for the need for mechanical ventilatory support in patients with Coronavirus Disease-2019 (COVID-19). METHODS: In this retrospective observational study, demographic and clinical details of the patients were obtained during ICU admission. SpO(2) and respiratory rate (RR) on room air were determined within the first 6 h of hospital admission. As all measurements were obtained on room air, we calculated the simplified respiratory rate‑oxygenation (ROX) index by dividing the SpO(2) by the RR. Based on the use of any assistance of mechanical ventilator (invasive or noninvasive), patients were divided into mechanical ventilation (MV) group and oxygen therapy group. The accuracy of the SpO(2), CT score, and ROX index to predict the need to MV were determined using the Area under receiver operating curve (AUC). RESULTS: We included 72 critically ill patients who tested COVID-19-positive. SpO(2) on the room air could predict any MV requirement (AUC [95% confidence interval]: 0.9 [0.8–0.96], sensitivity: 70%, specificity 100%, cut-off value ≤78%, P < 0.001). Within the MV group, the use of noninvasive ventilation (NIV) was successful in 37 (74%) patients, whereas 13 patients (26%) required endotracheal intubation. The cut-off ROX value for predicting early NIV failure was ≤1.4, with a sensitivity of 85%, a specificity of 86%, and an AUC of 0.86 (95% confidence interval of 0.73–0.94, P < 0.0001). CONCLUSIONS: A baseline SpO(2) ≤78% is an excellent predictor of MV requirement with a positive predictive value of 100%. Moreover, the ROX index measured within the first 6 h of hospital admission is a good indicator of early NIV failure. |
format | Online Article Text |
id | pubmed-8313790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83137902021-07-27 Admission SpO(2) and ROX index predict outcome in patients with COVID-19 Mukhtar, Ahmed Rady, Ashraf Hasanin, Ahmed Lotfy, Ahmed El Adawy, Akram Hussein, Amr El-Hefnawy, Islam Hassan, Mohamed Mostafa, Hanan Am J Emerg Med Article BACKGROUND: This study aimed to evaluate the accuracy of pulse oximetry-derived oxygen saturation (SpO(2)) on room air, determined at hospital admission, as a predictor for the need for mechanical ventilatory support in patients with Coronavirus Disease-2019 (COVID-19). METHODS: In this retrospective observational study, demographic and clinical details of the patients were obtained during ICU admission. SpO(2) and respiratory rate (RR) on room air were determined within the first 6 h of hospital admission. As all measurements were obtained on room air, we calculated the simplified respiratory rate‑oxygenation (ROX) index by dividing the SpO(2) by the RR. Based on the use of any assistance of mechanical ventilator (invasive or noninvasive), patients were divided into mechanical ventilation (MV) group and oxygen therapy group. The accuracy of the SpO(2), CT score, and ROX index to predict the need to MV were determined using the Area under receiver operating curve (AUC). RESULTS: We included 72 critically ill patients who tested COVID-19-positive. SpO(2) on the room air could predict any MV requirement (AUC [95% confidence interval]: 0.9 [0.8–0.96], sensitivity: 70%, specificity 100%, cut-off value ≤78%, P < 0.001). Within the MV group, the use of noninvasive ventilation (NIV) was successful in 37 (74%) patients, whereas 13 patients (26%) required endotracheal intubation. The cut-off ROX value for predicting early NIV failure was ≤1.4, with a sensitivity of 85%, a specificity of 86%, and an AUC of 0.86 (95% confidence interval of 0.73–0.94, P < 0.0001). CONCLUSIONS: A baseline SpO(2) ≤78% is an excellent predictor of MV requirement with a positive predictive value of 100%. Moreover, the ROX index measured within the first 6 h of hospital admission is a good indicator of early NIV failure. Elsevier Inc. 2021-12 2021-07-27 /pmc/articles/PMC8313790/ /pubmed/34332217 http://dx.doi.org/10.1016/j.ajem.2021.07.049 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mukhtar, Ahmed Rady, Ashraf Hasanin, Ahmed Lotfy, Ahmed El Adawy, Akram Hussein, Amr El-Hefnawy, Islam Hassan, Mohamed Mostafa, Hanan Admission SpO(2) and ROX index predict outcome in patients with COVID-19 |
title | Admission SpO(2) and ROX index predict outcome in patients with COVID-19 |
title_full | Admission SpO(2) and ROX index predict outcome in patients with COVID-19 |
title_fullStr | Admission SpO(2) and ROX index predict outcome in patients with COVID-19 |
title_full_unstemmed | Admission SpO(2) and ROX index predict outcome in patients with COVID-19 |
title_short | Admission SpO(2) and ROX index predict outcome in patients with COVID-19 |
title_sort | admission spo(2) and rox index predict outcome in patients with covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313790/ https://www.ncbi.nlm.nih.gov/pubmed/34332217 http://dx.doi.org/10.1016/j.ajem.2021.07.049 |
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