Markers predicting critical illness and mortality in COVID-19 patients: A multi-centre retrospective study

Aim: In this study, we aimed to investigate early predictors of critical illness and mortality in patients with coronavirus disease 2019 (COVID-19) based on clinical, biochemical, radiological, and epidemiological findings. Materials and Methods: This mufti-center, retrospective study was conducted in three centers and included a total of 206 confirmed COVID-19 cases using reverse transcription-polymerase chain reaction (RT-PCR). Data of survivors and non-survivors were compared, and predictors of mortality were examined. Results: Among the patients, 103 (50%) were mates with a mean age of 52.8 +/- 16.7 years; 88.3% of the patients were discharged in a healthy condition, white 11.7% died. The mean age was significantly higher in non-survivors. Dyspnea occurred in 32.5% of patients, and a significant correlation was found between dyspnea and mortality (p<0.001). Thoracic computed tomography (CT) findings were positive in 88.8% of patients. The most frequent imaging findings were ground-glass opacities in 86.4% and consolidation in 33% of patients. The mortality rate was significantly higher in patients with comorbidities (p<0.001). There was also a significant correlation between lymphocytopenia and mortality (p<0.001). A positive correlation was found between mortality risk and platelet-to-lymphocyte, neutrophil-to-lymphocyte, and red cell distribution width indices. The mortality risk was significantly higher in patients with acute kidney injury (10.7%) (p