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