Litcius/Paper detail

PaO2/FiO2 ratio forecasts COVID-19 patients’ outcome regardless of age: a cross-sectional, monocentric study

Gaia Sinatti, Silvano Junior Santini, Giovanni Tarantino, Giovanna Picchi, Benedetta Cosimini, Francesca Ranfone, Nicolò Casano, Maria Antonella Zingaropoli, N. Iapadre, Simone Bianconi, Antonietta Armiento, P Carducci, Maria Rosa Ciardi, Claudio Maria Mastroianni, Alessandro Grimaldi, Clara Balsano

2021Internal and Emergency Medicine34 citationsDOIOpen Access PDF

Abstract

Abstract We studied the predictive value of the PaO 2 /FiO 2 ratio for classifying COVID-19-positive patients who will develop severe clinical outcomes. One hundred fifty patients were recruited and categorized into two distinct populations (“A” and “B”), according to the indications given by the World Health Organization. Patients belonging the population “A” presented with mild disease not requiring oxygen support, whereas population “B” presented with a severe disease needing oxygen support. The AUC curve of PaO 2 /FiO 2 in the discovery cohort was 0.838 (95% CI 0.771–0.908). The optimal cut-off value for distinguishing population “A” from the “B” one, calculated by Youden’s index, with sensitivity of 71.79% and specificity 85.25%, LR+4.866, LR−0.339, was < 274 mmHg. The AUC in the validation cohort of 170 patients overlapped the previous one, i.e., 0.826 (95% CI 0.760–0.891). PaO 2 /FiO 2 ratio < 274 mmHg was a good predictive index test to forecast the development of a severe respiratory failure in SARS-CoV-2-infected patients. Moreover, our work highlights that PaO 2 /FiO 2 ratio, compared to inflammatory scores (hs-CRP, NLR, PLR and LDH) indicated to be useful in clinical managements, results to be the most reliable parameter to identify patients who require closer respiratory monitoring and more aggressive supportive therapies. Clinical trial registration: Prognostic Score in COVID-19, prot. NCT04780373 https://clinicaltrials.gov/ct2/show/NCT04780373 (retrospectively registered).

Topics & Concepts

MedicineYouden's J statisticInternal medicineCohortPopulationCoronavirus disease 2019 (COVID-19)Cross-sectional studyPredictive valueDiseasePathologyEnvironmental healthInfectious disease (medical specialty)COVID-19 Clinical Research StudiesLong-Term Effects of COVID-19Respiratory Support and Mechanisms