Bao Zhuocheng, Gao Weixi, Yu Xiao, Chai Liqing, Liu Yuxiang
The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, China.
Department of Nephrology & Shanxi Provincial Key laboratory of Kidney Disease, Shanxi Provincial People's Hospital (The Fifth Clinical Medical College of Shanxi Medical University), Taiyuan, China.
Hum Vaccin Immunother. 2025 Dec;21(1):2550857. doi: 10.1080/21645515.2025.2550857. Epub 2025 Aug 27.
Two protein subunit vaccines - RSVPreF3 (Arexvy, GSK) and RSVpreF (Abrysvo, Pfizer) - and one mRNA RSV vaccine, mRNA-1345 (mRESVIA, Moderna), have been approved. Post-marketing surveillance is crucial for evaluating the safety of RSV vaccines. We reviewed VAERS reports on RSV vaccines, using the Reporting Odds Ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) to identify safety signals. Our analysis incorporated severity, time-to-onset, subgroup, and sensitivity analyses to enhance key findings. After analyzing 5,147 RSVPreF3, 2,734 RSVpreF, and 35 mRNA-1345 reports, 91, 103, and 8 positive PT signals were found, respectively. Among serious reports, both RSVPreF3 and RSVpreF were associated with 9 important medical events (IMEs), including immune thrombocytopenia, which was also classified as a designated medical event (DME). Three pregnancy-related IME signals-hemorrhage in pregnancy, fetal death, and fetal hypokinesia - were reported for RSVpreF. Descriptive analysis of time-to-onset complemented the overall safety profiling, and sensitivity analysis offered further support for the observed disproportional reporting trends in certain adverse events (AEs). Our study utilized real-world data from large-scale spontaneous reporting systems to detect AEs that were disproportionately reported following RSV vaccination, thereby generating early safety signals to inform hypothesis development and support clinical awareness.
两种蛋白亚单位疫苗——RSVPreF3(Arexvy,葛兰素史克公司)和RSVpreF(Abrysvo,辉瑞公司)——以及一种mRNA RSV疫苗mRNA-1345(mRESVIA,莫德纳公司)已获批准。上市后监测对于评估RSV疫苗的安全性至关重要。我们审查了疫苗不良事件报告系统(VAERS)中关于RSV疫苗的报告,使用报告比值比(ROR)和贝叶斯置信传播神经网络(BCPNN)来识别安全信号。我们的分析纳入了严重程度、发病时间、亚组和敏感性分析,以强化关键发现。在分析了5147份RSVPreF3、2734份RSVpreF和35份mRNA-1345报告后,分别发现了91、103和8个阳性不良事件信号。在严重报告中,RSVPreF3和RSVpreF均与9种重要医疗事件(IME)相关,包括免疫性血小板减少症,其也被归类为指定医疗事件(DME)。报告了RSVpreF的3种与妊娠相关的IME信号——妊娠出血、胎儿死亡和胎儿运动减退。发病时间的描述性分析完善了整体安全性概况,敏感性分析为某些不良事件(AE)中观察到的不成比例报告趋势提供了进一步支持。我们的研究利用来自大规模自发报告系统的真实世界数据,以检测RSV疫苗接种后报告不成比例的AE,从而生成早期安全信号,为假设形成提供信息并支持临床认知。