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Introduction: This study aimed to evaluate the baseline characteristics of patients infected with SARS-CoV-2, after receiving first or second doses of COVID-19 vaccine.
ABSTRACT
Background: Para-clinical abnormalities are considered as predictors of COVID-19 severity. We aimed at evaluate the relationship between laboratory and chest computed tomography (CT) scan findings and severity of COVID-19 cases. Materials and methods: We performed a retrospective study on confirmed COVID-19 patients in Amir-Al-Momenin hospital, Tehran, Iran, from February 20, 2020 to April 19, 2020. Para-clinical characteristics of the patients including chest CT scan and laboratory findings were recruited from patients' medical records. Then we evaluated the relationship between laboratory and chest CT scan findings and severity of COVID-19 cases. We performed statistical analysis using descriptive methods and analytical tests by SPSS statistical software version-24.
ABSTRACT
Background: Today, the coronavirus disease 2019 (COVID-19) pandemic and its control are the global priority. Therefore, identifying the epidemiological and clinical patterns of this disease is critical. We aimed to evaluate the clinical and epidemiological characteristics of patients diagnosed with COVID-19 and its relationship with disease severity. Materials and methods: In this cross- sectional study, we recruited patients referred to Amir-al-Momenin Hospital, Tehran, Iran, diagnosed with COVID-19 from February 20, 2020 to April 19, 2020. Data related to the clinical and epidemiological characteristics of COVID-19 admitted patients were collected through their hospital records and were analyzed using descriptive methods by ANOVA, Chi-square tests, multivariable logistic regression, and Tukey post hoc tests.