Evaluation of Diagnostic Accuracy of HACOR Score in Predicting the Success Rate of CPAP in Patients with COVID-19-Induced Hypoxemia

Background: In coronavirus disease 2019 (COVID-19)-associated hypoxemic acute respiratory failure (ARF) may require continuous positive airway pressure (CPAP), and having an appropriate criterion for early diagnosis prediction of CPAP or success can significantly reduce the mortality these patients. Objectives: This study was conducted to evaluate diagnostic accuracy heart rate, acidosis, consciousness, oxygenation, rate (HACOR) score in predicting patients with COVID-19 induced hypoxemia. Methods: retrospective cross-sectional on 200 adult aged 63.23 ± 16.23 years mild moderate (COVID-19), partial oxygen arterial blood (PaO2) < 300 mmHg, carbon dioxide (PaCO2) 45 mmHg from March 21 November 21, 2021. The were admitted intensive care unit (RICU) Khatam Al-Anbia (PBUH) Hospital Shoushtar (southwestern Iran) subjected support. HACOR calculated one hour after onset. Data analyzed by SPSS software (version 22) using Kolmogorov-Smirnov, t-test, pair t-tests, receiver operating characteristic (ROC) curve, sensitivity, specificity, predictive value indices used determine performance method. significance level set at P ≤ 0.05. Results: mean onset 3.50 1.57 (P 0.001), a 153.84 27.42 PaO2/fraction inspired (FiO2) ratio 0.001). cut-off point 5, which had sensitivity 98.06% (94.45% - 99.60%) specificity 83.33% (68.64% 93.03%). Out patients, 157 (78.5%) failure, 43 (21.5%) underwent treatment. values PaO2/FiO2 94.92% 95.96%, respectively. Conclusions: Our findings support that although good COVID-19-induced hypoxemia, also shown be predictor success.