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

Author:

Arunachala Sumalatha123ORCID,Parthasarathi Ashwaghosha45ORCID,Basavaraj Chetak Kadabasal1ORCID,Kaleem Ullah Mohammed67ORCID,Chandran Shreya1,Venkataraman Hariharan1,Vishwanath Prashant6,Ganguly Koustav8ORCID,Upadhyay Swapna8ORCID,Mahesh Padukudru Anand1ORCID

Affiliation:

1. Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru 570015, India

2. Public Health Research Institute of India, Mysuru 570020, India

3. Department of Critical Care Medicine, Adichunchanagiri Institute of Medical Sciences, Bellur 571448, India

4. Allergy, Asthma, and Chest Centre, Krishnamurthypuram, Mysuru 570004, India

5. Rutgers Centre for Pharmacoepidemiology and Treatment Science, New Brunswick, NJ 08901, USA

6. Centre for Excellence in Molecular Biology and Regenerative Medicine (A DST-FIST Supported Center), Department of Biochemistry (A DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education and Research, Mysore 570015, India

7. Division of Infectious Disease and Vaccinology, School of Public Health, University of California, Berkeley, CA 94720, USA

8. Unit of Integrative Toxicology, Institute of Environmental Medicine (IMM), Karolinska Institutet, 17177 Stockholm, Sweden

Abstract

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.

Funder

National Institute of Health

The Wellcome Trust DBT India Alliance

Swedish Heart-Lung Foundation

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

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