Post-marketing safety monitoring of RSV vaccines: A real-world study based on the Vaccine Adverse Event Reporting System (VAERS)

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.

Publication Details

Journal
Figshare
Published
2025-08-27
DOI
https://doi.org/10.6084/m9.figshare.29994839
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Post-marketing safety monitoring of RSV vaccines: A real-world study based on the Vaccine Adverse Event Reporting System (VAERS)

Figshare
Diverse Scientific and Economic Studies
article

Post-marketing safety monitoring of RSV vaccines: A real-world study based on the Vaccine Adverse Event Reporting System (VAERS)

article en

Abstract

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.

Figshare
Good health and well-being
Openalex Percentile: Top 33%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.