Tabriz University of Medical Sciences Journal of Research in Clinical Medicine 2717-0616 10 1 2022 01 01 Factors associated with disease severity and length of stay in hospitalized COVID-19 patients in Tabriz, Iran: A retrospective cohort study 13 13 10.34172/jrcm.2022.013 EN Elnaz Asghari https://orcid.org/0000-0001-8511-5314 Mina Hosseinzadeh https://orcid.org/0000-0003-1810-0520 Nader Mahdavi https://orcid.org/0000-0002-0159-0124 Vahide Mahmoodi https://orcid.org/0000-0001-7860-0848 Journal Article 10.34172/jrcm.2022.013 2021 04 25 2021 07 09 Introduction: The novel coronavirus disease (COVID-19) has spread globally. Early and dynamic detection of prognostic factors is essential to improve the ability to treat COVID-19. The present study aimed to determine clinical characteristics and risk factors associated with the length of hospital stay and disease severity in hospitalized COVID-19 patients in Tabriz, Iran. Methods: This retrospective cohort study included 260 early diagnosed cases with COVID-19 hospitalized at two COVID-19 specialized hospitals in Tabriz, Iran, from April 20 to June 20, 2020. Patients’ medical records were used to collect the data. Severe COVID-19 outcomes included need for intubation, admission to the intensive care unit, or death. The data were analyzed using descriptive and analytical statistics, including chi-squared test, Mann-Whitney U test, and logistic regression analysis in SPSS 16. Results: The need for O2 therapy (adjusted odds ratio [AOR]=4.23; 95% CI: 1.15‒15.51; P=0.03), the increased creatinine levels (AOR=2.71; 95% CI: 1.25‒5.88; P=0.01), and the white blood cell counts (AOR=2.44; 95% CI: 1.12‒5.33; P=0.02) were the main risk factors associated with prolonged hospital stay. Also, having kidney diseases (AOR=7.33; 95% CI=1.94‒27.70; P=0.01), elevated the white blood cell counts (AOR=4.52; 95% CI=1.67‒12.26; P=0.003), and lung diseases (AOR=3.97; 95% CI: 1.18‒13.29; P=0.03) were significant among the predictors of the disease severity. Conclusion: According to the results, hypoxia and underlying diseases might lead to unwanted outcomes. The risk factors identified here confirm previous information and could be helpful to guide early clinical decision-making to reduce the mortality rates and improve the clinical outcomes of COVID-19.