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Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database.
Zhou, Jianxing; Zheng, You; Xu, Baohua; Long, Songjun; Zhu, Li-E; Liu, Yunhui; Li, Chengliang; Zhang, Yifan; Liu, Maobai; Wu, Xuemei.
Afiliação
  • Zhou J; Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
  • Zheng Y; School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China.
  • Xu B; Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
  • Long S; School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China.
  • Zhu LE; Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
  • Liu Y; School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China.
  • Li C; School of Medical Imaging, Fujian Medical University, Fuzhou, Fujian, China.
  • Zhang Y; Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
  • Liu M; Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
  • Wu X; Department of Respiratory, Shanghai Electric Power Hospital, Shanghai, China.
BMC Med ; 22(1): 65, 2024 Feb 14.
Article em En | MEDLINE | ID: mdl-38355513
ABSTRACT

BACKGROUND:

Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) is crucial for public safety. This study investigated the potential association between GLP-1RAs and SSIBs by exploring the FDA Adverse Event Reporting System (FAERS) database.

METHODS:

A disproportionality analysis was conducted using post-marketing data from the FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with GLP-1RAs were identified and analyzed through disproportionality analysis using the information component. The parametric distribution with a goodness-of-fit test was employed to analyze the time-to-onset, and the Ω shrinkage was used to evaluate the potential effect of co-medication on the occurrence of SSIBs.

RESULTS:

In total, 204 cases of SSIBs associated with GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, and albiglutide, were identified in the FAERS database. Time-of-onset analysis revealed no consistent mechanism for the latency of SSIBs in patients receiving GLP-1RAs. The disproportionality analysis did not indicate an association between GLP-1RAs and SSIBs. Co-medication analysis revealed 81 cases with antidepressants, antipsychotics, and benzodiazepines, which may be proxies of mental health comorbidities.

CONCLUSIONS:

We found no signal of disproportionate reporting of an association between GLP-1RA use and SSIBs. Clinicians need to maintain heightened vigilance on patients premedicated with neuropsychotropic drugs. This contributes to the greater acceptance of GLP-1RAs in patients with type 2 diabetes mellitus or obesity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article