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The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting

The use of the Ratio of Oxygen Saturation (ROX) index to predict the success of high-flow nasal oxygenation (HFNO) is well established. The ROX can also predict the need for intubation, mortality, and is easier to calculate compared with APACHE II. In this prospective study, the primary aim is to co...

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Autores principales: Arunachala, Sumalatha, Parthasarathi, Ashwaghosha, Basavaraj, Chetak Kadabasal, Kaleem Ullah, Mohammed, Chandran, Shreya, Venkataraman, Hariharan, Vishwanath, Prashant, Ganguly, Koustav, Upadhyay, Swapna, Mahesh, Padukudru Anand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675664/
https://www.ncbi.nlm.nih.gov/pubmed/38005908
http://dx.doi.org/10.3390/v15112231
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author Arunachala, Sumalatha
Parthasarathi, Ashwaghosha
Basavaraj, Chetak Kadabasal
Kaleem Ullah, Mohammed
Chandran, Shreya
Venkataraman, Hariharan
Vishwanath, Prashant
Ganguly, Koustav
Upadhyay, Swapna
Mahesh, Padukudru Anand
author_facet Arunachala, Sumalatha
Parthasarathi, Ashwaghosha
Basavaraj, Chetak Kadabasal
Kaleem Ullah, Mohammed
Chandran, Shreya
Venkataraman, Hariharan
Vishwanath, Prashant
Ganguly, Koustav
Upadhyay, Swapna
Mahesh, Padukudru Anand
author_sort Arunachala, Sumalatha
collection PubMed
description The use of the Ratio of Oxygen Saturation (ROX) index to predict the success of high-flow nasal oxygenation (HFNO) is well established. The ROX can also predict the need for intubation, mortality, and is easier to calculate compared with APACHE II. In this prospective study, the primary aim is to compare the ROX (easily administered in resource limited setting) to APACHE II for clinically relevant outcomes such as mortality and the need for intubation. Our secondary aim was to identify thresholds for the ROX index in predicting outcomes such as the length of ICU stay and failure of non-invasive respiratory support therapies and to assess the effectiveness of using the ROX (day 1 at admission, day 2, and day 3) versus Acute physiology and chronic health evaluation (APACHE) II scores (at admission) in patients with Coronavirus Disease 2019 (COVID-19) pneumonia and Acute Respiratory Distress Syndrome (ARDS) to predict early, late, and non-responders. After screening 208 intensive care unit patients, a total of 118 COVID-19 patients were enrolled, who were categorized into early (n = 38), late (n = 34), and non-responders (n = 46). Multinomial logistic regression, receiver operating characteristic (ROC), Multivariate Cox regression, and Kaplan–Meier analysis were conducted. Multinomial logistic regressions between late and early responders and between non- and early responders were associated with reduced risk of treatment failures. ROC analysis for early vs. late responders showed that APACHE II on admission had the largest area under the curve (0.847), followed by the ROX index on admission (0.843). For responders vs. non-responders, we found that the ROX index on admission had a slightly better AUC than APACHE II on admission (0.759 vs. 0.751). A higher ROX index on admission [HR (95% CI): 0.29 (0.13–0.52)] and on day 2 [HR (95% CI): 0.55 (0.34–0.89)] were associated with a reduced risk of treatment failure. The ROX index can be used as an independent predictor of early response and mortality outcomes to HFNO and NIV in COVID-19 pneumonia, especially in low-resource settings, and is non-inferior to APACHE II.
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spelling pubmed-106756642023-11-08 The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting Arunachala, Sumalatha Parthasarathi, Ashwaghosha Basavaraj, Chetak Kadabasal Kaleem Ullah, Mohammed Chandran, Shreya Venkataraman, Hariharan Vishwanath, Prashant Ganguly, Koustav Upadhyay, Swapna Mahesh, Padukudru Anand Viruses Article The use of the Ratio of Oxygen Saturation (ROX) index to predict the success of high-flow nasal oxygenation (HFNO) is well established. The ROX can also predict the need for intubation, mortality, and is easier to calculate compared with APACHE II. In this prospective study, the primary aim is to compare the ROX (easily administered in resource limited setting) to APACHE II for clinically relevant outcomes such as mortality and the need for intubation. Our secondary aim was to identify thresholds for the ROX index in predicting outcomes such as the length of ICU stay and failure of non-invasive respiratory support therapies and to assess the effectiveness of using the ROX (day 1 at admission, day 2, and day 3) versus Acute physiology and chronic health evaluation (APACHE) II scores (at admission) in patients with Coronavirus Disease 2019 (COVID-19) pneumonia and Acute Respiratory Distress Syndrome (ARDS) to predict early, late, and non-responders. After screening 208 intensive care unit patients, a total of 118 COVID-19 patients were enrolled, who were categorized into early (n = 38), late (n = 34), and non-responders (n = 46). Multinomial logistic regression, receiver operating characteristic (ROC), Multivariate Cox regression, and Kaplan–Meier analysis were conducted. Multinomial logistic regressions between late and early responders and between non- and early responders were associated with reduced risk of treatment failures. ROC analysis for early vs. late responders showed that APACHE II on admission had the largest area under the curve (0.847), followed by the ROX index on admission (0.843). For responders vs. non-responders, we found that the ROX index on admission had a slightly better AUC than APACHE II on admission (0.759 vs. 0.751). A higher ROX index on admission [HR (95% CI): 0.29 (0.13–0.52)] and on day 2 [HR (95% CI): 0.55 (0.34–0.89)] were associated with a reduced risk of treatment failure. The ROX index can be used as an independent predictor of early response and mortality outcomes to HFNO and NIV in COVID-19 pneumonia, especially in low-resource settings, and is non-inferior to APACHE II. MDPI 2023-11-08 /pmc/articles/PMC10675664/ /pubmed/38005908 http://dx.doi.org/10.3390/v15112231 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arunachala, Sumalatha
Parthasarathi, Ashwaghosha
Basavaraj, Chetak Kadabasal
Kaleem Ullah, Mohammed
Chandran, Shreya
Venkataraman, Hariharan
Vishwanath, Prashant
Ganguly, Koustav
Upadhyay, Swapna
Mahesh, Padukudru Anand
The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting
title The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting
title_full The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting
title_fullStr The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting
title_full_unstemmed The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting
title_short The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting
title_sort validity of the rox index and apache ii in predicting early, late, and non-responses to non-invasive ventilation in patients with covid-19 in a low-resource setting
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675664/
https://www.ncbi.nlm.nih.gov/pubmed/38005908
http://dx.doi.org/10.3390/v15112231
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