Serious adverse events following immunization and predictors of mortality associated with COVID-19 vaccination in India: a secondary data analysis of nationwide causality assessments.
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引用次数: 0
Abstract
Background: Vaccines against COVID-19 were viewed as a way out to the ongoing pandemic and were given the emergency use authorization in India to initiate mass vaccination in January 2021. This study aimed to investigate the serious adverse events following immunizations (AEFIs) reported for COVID-19 vaccines and to identify predictors of mortality among these cases from India.
Methods: A secondary data analysis was conducted on the causality assessment reports for the 2708 serious AEFIs published by the National AEFI Committee under the Immunization Division, Ministry of Health and Family Welfare, Government of India. The analysis included all 21 reports published up until May 2023. The primary outcome variable analyzed was the survival/death status of each AEFI case, with various covariates from the published documents considered in the analysis.
Results: The majority of the serious AEFIs assessed were either coincidental (1220, 45%) or undetermined/unclassifiable (781, 28.8%). The majority of the serious AEFIs were reported among recipients of Covishield (1891, 69.8%) followed by Covaxin (347, 12.8%). Among these, 1114 (42.1%) died while the remaining 1594 (58.9%) were hospitalized and recovered. Systematically, AEFIs involving the cardiovascular system (696, 31.3%) were the most common, followed by those affecting the respiratory system (288, 13%) and neuropsychiatric system (295, 13.3%) which had a significant association with age (p < 0.001) and gender (p < 0.001). On multivariable analysis, females (p = 0.001), younger age groups (p < 0.001), AEFIs whose causality was determined and classified (p < 0.001), AEFI involving gastrointestinal and neuropsychiatric system (p < 0.001), AEFIs reported from North and Western India (p = 0.001) and those occurring during the winter season (p < 0.05) had significantly lower odds of mortality.
Conclusion: Among the cohort of serious AEFIs reported, older age, male sex, undetermined or unclassifiable causality classification, and involvement of the cardiovascular system were associated with significantly higher odds of mortality and require close monitoring following vaccination.
背景:针对COVID-19的疫苗被视为应对当前大流行的一条出路,印度已获得紧急使用授权,于2021年1月启动大规模疫苗接种。本研究旨在调查COVID-19疫苗接种后报告的严重不良事件(AEFIs),并确定印度这些病例的死亡率预测因素。方法:对印度政府卫生和家庭福利部免疫司下属的国家急性呼吸道感染委员会公布的2708例严重急性呼吸道感染的因果关系评估报告进行二次资料分析。该分析包括截至2023年5月发表的所有21份报告。分析的主要结局变量是每个AEFI病例的生存/死亡状态,分析中考虑了来自已发表文献的各种协变量。结果:大多数评估的严重急性脑损伤是巧合的(1220例,45%)或不确定/无法分类的(781例,28.8%)。严重急性脑梗死以服用Covishield者(1891例,69.8%)最多,其次是服用Covaxin者(347例,12.8%)。其中,1114人(42.1%)死亡,其余1594人(58.9%)住院并康复。系统方面,累及心血管系统的aefi(696例,31.3%)最为常见,其次是累及呼吸系统的aefi(288例,13%)和神经精神系统的aefi(295例,13.3%),与年龄(p p = 0.001)、年轻年龄组(p p p = 0.001)和冬季发生的aefi (p p = 0.001)有显著相关性。在报告的严重急性脑梗塞队列中,年龄较大、男性、未确定或无法分类的因果关系分类以及累及心血管系统与死亡率显著升高相关,需要在接种疫苗后密切监测。