risk factors for in-hospital mortality of patients with covid-19 in iran: a cross-sectional study from six pandemic waves

Background: demographic factors, hospital status, and comorbidities affect the mortality of patients with coronavirus disease (covid-19). aim: this cross-sectional study was performed with aim to evaluate the mortality predictors of hospitalized covid-19 patients in northeastern iran (mashhad city). method: in this retrospective study, the electronic records (demographic data, clinical variables, and comorbid conditions) of survived and non-survived hospitalized covid-19 patients were searched from march 2021 to march 2022 during six pandemic waves. results: analysis of 59099 hospitalized covid-19 patients showed the mean age of 54.4722.5 years (female: 46.92%). binary logistic regression analysis showed that age, masculinity, respiratory distress, and loss of consciousness among demographic data and clinical variables significantly contributed to mortality (or>1, p<0.05). diabetes, cancer, respiratory diseases, kidney diseases, and immunodeficiency diseases increased the chance of death. high spo2 (>93) protected against death (or<1, p<0.05). implications for practice: the results of the present study revealed that the clinical outcome of covid-19 infection is highly affected by demographic, clinical, and comorbidity factors. several factors including age, masculinity, respiratory distress, loss of consciousness, diabetes, cancer, respiratory, kidney and immunodeficiency diseases had a risk effect on covid-19 death during six pandemic waves. also, high spo2 (>93) was detected as a protective factor for death followed by covid-19 infection.