Clinical and laboratory factors associated with hospitalization and mortality in the COVID-19 pandemic

Abstract

Introduction: This study aimed to investigate the relationship between MPV and disease prognosis in patients with COVID-19, the chronic diseases that affect the prognosis of COVID-19, and the laboratory data that can help diagnose this disease and provide information about the course of the disease during the treatment process. Methods: The study was conducted in a cross-sectional format. All participants gave written, informed consent to participate. A questionnaire consisting of two parts, including categorical (socio-demographic) data and laboratory data, was applied to people who had COVID-19 who applied to the internal medicine outpatient clinic of the hospital. The Pearson chi-squared test and Fisher exact test were used for comparing categorical variables. The Mann-Whitney U test, or Kruskal-Wallis test with Bonferroni post hoc comparisons, was used to compare numerical variables between the groups. All analyses were performed using the SPSS 25.0 (SPSS Inc., Chicago, IL, ‎USA) software package. Results: The participants' mean (±SD) age was 40.8±13.7 years (median: 40, range: 18 – 72). Almost half of the participants (48.0%, n=98) were male, the majority (76.0%, n=155) were married, and 24.0% (n=49) were single. Of the 204 patients, 28 (13.7%) were hospitalized, and five died (2.5%). Of the five patients who died, three had chronic lung disease, one had diabetes and chronic lung disease, and one had no chronic disease. Conclusion: Older age and the presence of chronic diseases are important factors affecting hospitalization in patients with COVID-19. LDH, CRP, and ferritin levels were high, and the mean platelet volume levels were significantly higher in hospitalized patients. Keywords: COVID -19, pandemics, prognosis of COVID -19