Assessment of safety and adverse events following COVID-19 vaccination and their predictors in first 30 days among healthcare workers of a tertiary care teaching hospital in North India

评估印度北部一家三级教学医院医护人员接种新冠疫苗后30天内的安全性和不良事件及其预测因素

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Abstract

BACKGROUND: The COVID-19 vaccines were rolled out as an emergency measure, with an expedited approval to contain the pandemic. The objective of this study was to assess the incidence, pattern and severity of AEFIs reported following COVID-19 vaccination and their predictors among the healthcare workers. MATERIALS AND METHODS: A prospective cohort study enrolling healthcare workers of a tertiary care Institute in North India receiving COVISHIELD™ from February to May 2021 was carried out to assess the incidence, pattern and severity of AEFI over the next 30 days. Both active and passive surveillance methods were used for AEFI recording. Bivariate analysis was performed to ascertain the predictors of AEFIs. RESULTS: A total of 836 healthcare workers who received the first dose of COVISHIELD™ were included in the study of which 201 (24.0 %) experienced one or more AEFIs. Majority of AEFIs were of minor grade (99.8 %) and resolved spontaneously. Majority (96.0 %) had onset of the AEFIs within 48 hrs of vaccination. Serious AEFIs, leading to hospitalization was noticed in 2(0.2 %) participants, both females, with suspicion of immunization stress related response (ISRR). Both of them recovered without any sequelae. No deaths were recorded. Factors found to be significantly associated with the occurrence of AEFIs in the participants were female gender (p = 0.02), monthly income > 20,000 INR (p = 0.007), presence of any chronic illness (p < 0.0001), history of allergic reaction to any drug/vaccine (p = 0.01), history of COVID-19 infection (p < 0.00002) and history of hospitalization due to COVID-19 (p < 0.0002). CONCLUSION: Majority of the AEFIs observed were of minor grade with spontaneous resolution of the symptoms indicating safety and well tolerability of the vaccine. Female gender, higher income, history of allergy and co-morbidities, history of COVID-19 infection and history of hospitalization were found to be major predictors for the development of adverse events and require more watchful vaccination.

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