Authors
Junjie Liu, Yuhan Chen, Yuxuan Jiang, Weixuan Liang, Zhuofeng Wen, Meijun Liu, Ziyang Yang, Haopeng Huang, Fei Chen, Yanling Zhang
Published in
British journal of clinical pharmacology. Sep 07, 2026. Epub Sep 07, 2026.
Abstract
Conventional pharmacovigilance identifies drug-event reporting signals but not heterogeneity among anti-HER2 cardiac dysfunction reports. We benchmarked this association using disproportionality analysis and assessed whether report-level clustering added information beyond cardiovascular co-reporting.
We analysed OpenVigil/FAERS data. A separate openFDA analysis estimated overall, individual-drug and drug-group reporting odds ratios (RORs) and proportional reporting ratios (PRRs). The clustering cohort comprised 589 unique reports, grouped by cardiovascular co-reporting and clustered using Gower distance-based partitioning around medoids. Severe outcome comprised death, hospitalization, life-threatening events or disability. Multivariable logistic regression and a nested likelihood-ratio test compared conventional and cluster-based models.
Echocardiography-related cardiac dysfunction was disproportionately reported with anti-HER2 therapies overall (ROR 26.64, 95% CI 25.61-27.71; PRR 25.95, 95% CI 24.97-26.96) and across evaluated drugs and groupings. Among 589 reports, 383 (65.0%) had dysfunction only and 206 (35.0%) had cardiovascular co-reporting; severe outcomes occurred in 17.5% and 41.7%, respectively (adjusted OR 3.24, 95% CI 2.14-4.95). Five clusters were retained. The LV dysfunction with cardiovascular co-reporting cluster had the highest severe outcome proportion (52.0%) and higher adjusted odds than the ADC-associated EF-decline cluster (adjusted OR 4.18, 95% CI 1.55-11.68). Adding the cluster term improved model fit (χ2 = 11.34; p = 0.023).
Conventional analyses confirmed a strong anti-HER2 reporting signal and an association between cardiovascular co-reporting and severe outcomes. The retained clusters added complementary report-level resolution without constituting a validated clinical classification or prediction tool.
PMID:
42705876
Bibliographic data and abstract were imported from PubMed on 08 Sep 2026.
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