Analysis of Predictive Factors for Moderate-Stage COVID-19 Outcome and Maximal Extent of Lung Injury

Background: As the coronavirus disease 2019 (COVID-19) epidemic continues to spread, it is important predict clinical classification of COVID-19 and evaluate progression lung injury. Objectives: To investigate predictive factors outcome moderate-stage maximal extent Patients Methods: This study was a retrospective analysis 97 patients with diagnosed in our hospital. We divided into two groups according progression: one group for moderate stage another both severe critically COVID-19. then analyzed independent influencing changes course using binary logistic regression. Next, we assessed computed tomography (CT) score injury follow-up images patients. used multiple linear regression (MLR) analyze variables, CT Results: The results were obtained multivariate analysis, affecting baseline (P = 0.008), high-sensitivity C-reactive protein (hs-CRP) 0.001), diabetes 0.04). MLR revealed that predicting age 0.014), neutrophil percentage 0.038), lymphocyte 0.031), hs-CRP 0.010), < 0.001). optimal cut-off value 18.5, 8.5. Conclusion: Age, score, hs-CRP, percentage, could injury, > ≥ 9, severe/critically