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vacres 2022, 9(1): 34-38 |
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Chouhdari A, Khosravani-Nezhad Y, Tarjoman T, Zangeneh M. Basic characteristics of patients with COVID-19 after SARS‐CoV‐2 vaccine: One cross-sectional study in Iran. vacres 2022; 9 (1) :34-38
URL: http://vacres.pasteur.ac.ir/article-1-294-en.html
URL: http://vacres.pasteur.ac.ir/article-1-294-en.html
Clinical Research Development Center, Amir-Almomenin Hospital, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, IR Iran
Abstract: (1699 Views)
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. Methods: In this cross-sectional study, we examined 100 patients with SARS-CoV-2 infection after vaccination and collected demographic characteristics and history of underlying diseases, lung involvement, and severity of the disease, as well as the type of vaccine received and the duration of onset of the diseases symptoms after vaccination. The relationship between the disease severity and variables was evaluated by the bivariate analysis. Multiple logistic regression model was performed to predict the severity of the disease by calculating the odds ratios and 95% confidence intervals (CIs). Results: The mean±SD age of COVID-19 patients was 62.54±14.93 years. 59% of patients were male. The mean interval between vaccination and onset of symptom disease was 4.95 days. In bivariable analysis, there was a difference between the mean of the lung involvement in CT scan, O2 saturation, hypertension (HTN), and Severity of the disease (p < 0.001). In multiple logistic regression analysis, HTN (OR: 5.6, 95CI:1.07-25.5, p = 0.04), O2 saturation < 90% (OR:1.53, 95% CI: 1.39-2.92, p =0.003) and lung involvement ≥ 30% in CT scan were predictors of disease severity. Conclusion: Due to the short time interval between COVID-19 vaccination and the disease symptoms in this study, it is recommended all people with any symptom of disease to avoid the vaccination
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.