Clinical Symptoms, Comorbidity Patterns, and Treatment Schemes in Hospitalized Patients with COVID-19 in Turkey

This research aims to investigate the associations between comorbidities and clinical outcomes, specifically their impacts on mortality rates among COVID-19 inpatients, while also assessing the varying significance of different comorbidities. We conducted this study to understand the interplay between SARS-CoV-2 infection, socio-demographic factors, disease severity, and co-morbid conditions in a sample of 26,835 hospitalized COVID-19 cases. Our analysis extended to examining the frequency of infection symptoms, pre-existing health issues, treatment strategies, intensive care unit (ICU) and hospital stays, clinical symptoms, and radiological findings. Among the 26,883 cases analyzed, comprising 53.7% males and 53.3% females with an average age of 48.5 years, we observed mean clinical values for temperature, heart rate, respiratory rate, and blood pressure. Leveraging logistic regression modeling helped untangle the complex relationships and confounding variables influencing COVID-19 mortality. Notably, our findings underscored the significance of total length of stay, prolonged ICU stays exceeding ten days, and the presence of significant symptoms in affecting mortality rates among COVID-19 patients. These insights unveil potential trends crucial for informing future management strategies tailored to the needs of COVID-19 patients, emphasizing the importance of addressing comorbidities and optimizing care approaches for better outcomes.