The impact of laboratory features and comorbidities on the prognosis of patients with COVID-19

Abstract

Objective: Demographic and laboratory values predicting clinical severity in coronavirus disease 2019 (COVID-19) patients havebeen a matter of curiosity since the beginning of the disease. We aimed to show the relationship between the severity of COVID-19disease and comorbidities, clinical and laboratory features of the patients.Material and Method: The data of COVID-19 patients diagnosed with polymerase chain reaction (PCR), were analyzed retrospectively.The patients were divided into 3 groups according to their clinical severity as mild, moderate and severe. Comorbidities and theCharlson comorbidity index (CCI) at the time of diagnosis were calculated for each patient from the patients’ records. Demographicdata, laboratory values, comorbidity and CCI scores were compared between the patient groups. The effect of CCI on survival andlength of hospital stay was examined.Results: One hundred and four patients were included in the trial. The most common comorbid disease in the patients included in thetrial was hypertension. The moderate-severe stage patients were statistically significantly older (p