Respiratory rate-oxygenation index on the 3<sup>rd</sup> day is the best predictor of treatment failure in COVID-19 patients

Predictors of outcomes are essential to identifying severe COVID-19 cases and optimizing treatment and care settings. The respiratory rate-oxygenation (ROX) index, originally introduced for predicting the failure of non-invasive support in acute hypoxemic respiratory failure (AHRF), has not been extensively studied over time during hospitalization. This multicenter prospective observational study analyzed COVID-19-related AHRF patients admitted to eight Italian hospitals during the second pandemic wave. The study assessed the ROX index using receiver operator characteristic curves and areas under the curve with 95% confidence intervals to predict treatment failure, defined as endotracheal intubation (ETI) or death. A total of 227 patients (69.2% males) were enrolled, with a median arterial partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FIO2) ratio at admission of 248 (interquartile range: 170-295). Nearly one-third (29.5%) required ETI or died during hospitalization. Those who experienced treatment failure were older (median age 70 vs. 61 years, p<0.001), more likely to be current or former smokers (8.5% vs. 6.4% and 42.4% vs. 25.5%, p=0.039), had a higher prevalence of cardiovascular diseases (74.6% vs. 46.3%, p<0.001), and had a lower PaO2/FIO2 ratio at presentation (median 229 vs. 254, p=0.014). Gender, body mass index, and other comorbidities showed no significant differences. In patients who failed treatment, the ROX index was higher at presentation and worsened sharply by days 3 and 4. Conversely, in patients who survived without requiring ETI, the ROX index remained stable and reduced after 5-6 days. The ROX index's predictive ability improved notably by day 3 of hospitalization, with the best cut-off value identified at 8.53 (sensitivity 75%, specificity 68%). Kaplan-Meier curves indicated that a ROX index of 8.53 or lower on days 1, 2, or 3 was associated with a higher risk of treatment failure. Thus, a single ROX index assessment on day 3 is more informative than its variability over time, with values of 8.53 or lower predicting non-invasive respiratory support failure in hospitalized COVID-19 patients.

Authors

Institutions

Publication Details

Journal
Monaldi Archives for Chest Disease
Published
2024-10-24
DOI
https://doi.org/10.4081/monaldi.2024.3033
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Respiratory rate-oxygenation index on the 3rd day is the best predictor of treatment failure in COVID-19 patients

Francesco Blasi, Marco Contoli, Stefano Centanni, Giorgio Lorini et al.
Monaldi Archives for Chest Disease
Respiratory Support and Mechanisms
article

Respiratory rate-oxygenation index on the 3rd day is the best predictor of treatment failure in COVID-19 patients

Francesco Blasi, Marco Contoli, Stefano Centanni, Giorgio Lorini, Greta Carioli, Marialuisa Bocchino, Claudio Micheletto, Paolo Busatto, Luca Malandrino, Paola Rogliani, Fabiano Di Marco, Luca Novelli, Fabrizio Luppi, Simone Pappacena, Alessandro Sanduzzi, Stefano Aliberti, Federico Raimondi
article en

Abstract

Predictors of outcomes are essential to identifying severe COVID-19 cases and optimizing treatment and care settings. The respiratory rate-oxygenation (ROX) index, originally introduced for predicting the failure of non-invasive support in acute hypoxemic respiratory failure (AHRF), has not been extensively studied over time during hospitalization. This multicenter prospective observational study analyzed COVID-19-related AHRF patients admitted to eight Italian hospitals during the second pandemic wave. The study assessed the ROX index using receiver operator characteristic curves and areas under the curve with 95% confidence intervals to predict treatment failure, defined as endotracheal intubation (ETI) or death. A total of 227 patients (69.2% males) were enrolled, with a median arterial partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FIO2) ratio at admission of 248 (interquartile range: 170-295). Nearly one-third (29.5%) required ETI or died during hospitalization. Those who experienced treatment failure were older (median age 70 vs. 61 years, p<0.001), more likely to be current or former smokers (8.5% vs. 6.4% and 42.4% vs. 25.5%, p=0.039), had a higher prevalence of cardiovascular diseases (74.6% vs. 46.3%, p<0.001), and had a lower PaO2/FIO2 ratio at presentation (median 229 vs. 254, p=0.014). Gender, body mass index, and other comorbidities showed no significant differences. In patients who failed treatment, the ROX index was higher at presentation and worsened sharply by days 3 and 4. Conversely, in patients who survived without requiring ETI, the ROX index remained stable and reduced after 5-6 days. The ROX index's predictive ability improved notably by day 3 of hospitalization, with the best cut-off value identified at 8.53 (sensitivity 75%, specificity 68%). Kaplan-Meier curves indicated that a ROX index of 8.53 or lower on days 1, 2, or 3 was associated with a higher risk of treatment failure. Thus, a single ROX index assessment on day 3 is more informative than its variability over time, with values of 8.53 or lower predicting non-invasive respiratory support failure in hospitalized COVID-19 patients.

Monaldi Archives for Chest DiseaseVol. 94(4)
University of Rome Tor Vergata (IT), University of Verona (IT), AOL (United States) (US), Humanitas University (IT), University of Milan (IT), University of Ferrara (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Ospedale Papa Giovanni XXIII (IT), Azienda Ospedaliera San Gerardo (IT), Policlinico Tor Vergata (IT), Ospedale Monaldi (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Azienda Usl Toscana Centro (IT), IRCCS Humanitas Research Hospital (IT), Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo, University of Milano-Bicocca (IT)
Good health and well-being
Openalex Percentile: Top 66%
Respiratory Support and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.