Epidemiology, clinical characteristics, and outcome of hospitalized COVID-19 patients in Kurdistan Province, Iran
DOI:
https://doi.org/10.22122/cdj.v10i2.646Keywords:
COVID-19, SARS-CoV-2, Epidemiology, Risk Factors, Mortality, IranAbstract
BACKGROUND: The present study aimed to evaluate the epidemiology, clinical characteristics, and outcome of confirmed and suspected hospitalized coronavirus disease 2019 (COVID-19) cases in Iran hospitals affiliated with the Kurdistan University of Medical Sciences, Sanandaj, Iran.
METHODS: This cross-sectional study was performed on all confirmed and suspected hospitalized COVID-19 cases in hospitals affiliated with the Kurdistan University of Medical Sciences between March and September 2020. Required data were obtained from the Hospital Intelligent Management System of hospitals. Independent t-test, chi-square test, Fisher's exact test, and one-way analysis of variance (ANOVA) were used for univariate analysis. Variables with P-value < 0.3 in univariate analysis were entered into the multivariate model, and the adjusted odds ratio (AOR) was calculated.
RESULTS: Out of 9176 cases, 3210 cases (35.03%) were confirmed with COVID-19. The mean and standard deviation (SD) of age of the cases was 56.5 ± 19.3 in the confirmed and 57.5 ± 20.6 in the suspected cases. The confirmed and suspected cases’ mortality rate was 15.0% and 10.2%, respectively. In both groups, the most common symptoms of admission to the hospital were respiratory distress, coughing, fever, and muscular pain. The variables of older age, male gender, being transferred to hospitals by ambulance, intensive care unit (ICU) hospitalization, being intubated, blood oxygen saturation level less than 93, and having an underlying disease were statistically associated with an increased chance of death.
CONCLUSION: The mortality rate among both confirmed and suspected hospitalized COVID-19 cases was significant, and this rate was higher for the confirmed cases. Death-related risk factors should be considered in resource allocation, management, and patient prioritization to reduce the outcome of death.
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