Evidence map›Paper›PMID 42292196›Full record

ArticleFrontiers in medicine2026

Deviations from recommended use of liposomal bupivacaine: a real-world pharmacovigilance study using the FAERS database.

Wei Ma, Jing Lu, Cheng Shen, Haoshi Gao, Wei Gao

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei Ma *School of Pharmacy, Guangzhou Xinhua University, Guangzhou, China.
Jing Lu *Pharmacy Department, Liwan Central Hospital of Guangzhou, Guangzhou, China.
Cheng ShenDepartment of Pharmacy, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Changsha, China.
Haoshi GaoSchool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
Wei GaoDepartment of Urology, Liwan Central Hospital of Guangzhou, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liposomal bupivacaine (L-BUP) is a widely used long-acting local anesthetic, but real-world data on its post-marketing off-label use and medication error risks remain limited. This study aimed to characterize these risks to inform rational clinical use and post-marketing risk management of improved new drug formulations. Methods: L-BUP-related safety reports were extracted from the FAERS database (Q1 2004-Q2 2025). Four disproportionality analysis methods (ROR, PRR, BCPNN, and MGPS) were applied, with a positive signal defined as simultaneously meeting all four predefined criteria. Risk signals were mapped via Medical Dictionary for Regulatory Activities (MedDRA) Preferred Terms (PTs) and Standardized MedDRA Queries (SMQs). Conventional bupivacaine (C-BUP) was used as a comparator in the sensitivity analysis to verify the specificity of risk signals. Results: Among 19,252,329 included FAERS reports, 4,151 listed L-BUP as the primary suspect drug. Of the top 20 L-BUP positive signals, 35% were associated with deviations from recommended use. Notably, "Labeled drug-drug interaction medication error" exhibited the strongest signal (ROR = 332.7), while "Off-label use" had the highest reporting frequency, with 238 cases. At the SMQ level, medication errors yielded a positive safety signal (ROR = 4.17). Sensitivity analysis confirmed that C-BUP presented a negative signal for medication errors (ROR = 0.88) under identical analytical conditions. The number of concomitant medications was positively correlated with the incidence of serious adverse events, whereas the overall serious adverse event rate was higher for C-BUP than for L-BUP. Conclusion: L-BUP carries significant off-label use and formulation-specific medication error risks, with a positive correlation between concomitant medication use and serious adverse events. Many of these risks are preventable. These findings support targeted clinical and regulatory risk mitigation strategies for L-BUP, and provide evidence for improved post-marketing surveillance of complex modified-release formulations.

Indexed as

disproportionality analysisFAERS databaseliposomal bupivacainemedication erroroff-label usepharmacovigilance

Identifiers

PMID42292196
PMCPMC13260057

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.