A real-world disproportionality analysis of tirzepatide-related adverse events based on the FDA Adverse Event Reporting System (FAERS) database

Tirzepatide is a novel drug for the treatment of type 2 diabetes mellitus and chronic weight management, and there is an urgent need to explore its safety profile. The FDA Adverse Event Reporting System (FAERS) database provides a reliable pathway for adverse event (AE) disproportionality analysis. Data regarding AEs registered in the FAERS between Q2 2022 and Q4 2023 were collected for this study. The reporting odds ratio (ROR) method was applied to analyse the association between tirzepatide use and the risk of developing AEs. The occurrence of ≥3 AEs with an ROR value 95% confidence interval (CI) lower limit >1 was considered to indicate statistical significance. Data on 638,153 AEs were collected from the FAERS database, and tirzepatide use was implicated for 8,096 of those AEs. A total of 98 preferred terms (PTs) were detected as positive signals for tirzepatide use. Frequently observed expected AEs included injection site pain, nausea, injection site haemorrhage, diarrhoea, and vomiting. Some unexpected AEs that were frequently observed included incorrect doses, off-label use, the administration of extra doses, an inappropriate schedule of product administration, and increased blood glucose. In this study, we identified potential novel and unexpected AE signals associated with tirzepatide use. Our findings confirm the importance of real-world disproportionality analysis in identifying the safety profile of new drugs, ultimately contributing to the safe clinical application of tirzepatide.

Authors

Institutions

Publication Details

Journal
Endocrine Journal
Published
2024-11-26
DOI
https://doi.org/10.1507/endocrj.ej24-0286
Citations
7
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
7.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A real-world disproportionality analysis of tirzepatide-related adverse events based on the FDA Adverse Event Reporting System (FAERS) database

Jie Li, Zhitao Jiang, Yi Han, Wei Zhang et al.
7 citations
Endocrine Journal
Health Systems, Economic Evaluations, Quality of Life
7.90
article

A real-world disproportionality analysis of tirzepatide-related adverse events based on the FDA Adverse Event Reporting System (FAERS) database

Jie Li, Zhitao Jiang, Yi Han, Wei Zhang, Yilei Wang, Jun Xie
article en
7 citations

Abstract

Tirzepatide is a novel drug for the treatment of type 2 diabetes mellitus and chronic weight management, and there is an urgent need to explore its safety profile. The FDA Adverse Event Reporting System (FAERS) database provides a reliable pathway for adverse event (AE) disproportionality analysis. Data regarding AEs registered in the FAERS between Q2 2022 and Q4 2023 were collected for this study. The reporting odds ratio (ROR) method was applied to analyse the association between tirzepatide use and the risk of developing AEs. The occurrence of ≥3 AEs with an ROR value 95% confidence interval (CI) lower limit >1 was considered to indicate statistical significance. Data on 638,153 AEs were collected from the FAERS database, and tirzepatide use was implicated for 8,096 of those AEs. A total of 98 preferred terms (PTs) were detected as positive signals for tirzepatide use. Frequently observed expected AEs included injection site pain, nausea, injection site haemorrhage, diarrhoea, and vomiting. Some unexpected AEs that were frequently observed included incorrect doses, off-label use, the administration of extra doses, an inappropriate schedule of product administration, and increased blood glucose. In this study, we identified potential novel and unexpected AE signals associated with tirzepatide use. Our findings confirm the importance of real-world disproportionality analysis in identifying the safety profile of new drugs, ultimately contributing to the safe clinical application of tirzepatide.

Endocrine JournalVol. 72(3)
Nanjing University of Chinese Medicine (CN)
Openalex Percentile: Top 3%
Health Systems, Economic Evaluations, Quality of Life
7.90
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.