Introduction Teduglutide is a glucagon-like peptide-2 analog that is indicated for the treatment of short bowel syndrome (SBS) by reducing patient dependence on parenteral support. Due to the rarity of SBS as well as the recent timeline of the adoption of teduglutide, the safety of teduglutide is relatively poorly understood. Several recent clinical case reports have highlighted elevated pancreatic enzymes and pancreatitis as a concerning complication of teduglutide. This prompts a systematic study of the association between pancreatitis and teduglutide. Methods This study conducts a case-control design disproportionality analysis by using data from the US Food and Drug Administration Adverse Event Reporting System (FAERS). Reports from the first quarter of 2020 through the first quarter of 2024 were retrieved from this database, and a disproportionality analysis was conducted. The analysis consisted of traditional methods of analyzing adverse drug events such as the reporting odds ratio (ROR) and proportional reporting ratio (PRR), as well as Bayesian methods such as the empirical Bayes geometric mean (EBGM) and information component (IC). A confidence interval for ROR and PRR that excludes a ratio of 1 or a confidence interval for IC that excludes a score of 0 was used as the criterion for a statistically significant association between pancreatitis risk and teduglutide use. Results Out of 11,696 reports of teduglutide adverse effects in over four years of adverse effects data drawn from the FAERS database, 79 cases of pancreatitis were identified. The disproportionality analysis revealed an ROR of 3.73 (95% CI (2.99, 4.66)), a PRR of 3.71 (95% CI (2.97, 4.63)), an EBGM of 3.70, and an IC of 1.84 (95% CI (1.51, 2.16)). All of these statistics indicate a statistically significant association between pancreatitis risk and teduglutide use. Conclusion The results reveal a statistically significant association between pancreatitis risk and teduglutide use. Our findings highlight the necessity for the careful monitoring of pancreatitis in patients undergoing teduglutide therapy going forward.
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http://dx.doi.org/10.7759/cureus.68091 | DOI Listing |
Sci Rep
December 2024
Department of Pharmacy, Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, 215153, China.
Background: NK-1 receptor antagonists (NK-1RAs) are proven to be successful in preventing chemotherapy-induced nausea and vomiting (CINV). The safety profile of NK-1RAs has not been systematically analyzed in the real world. This pharmacovigilance study investigated the differences in adverse events (AEs) between NK-1RAs.
View Article and Find Full Text PDFJ Cardiovasc Pharmacol
October 2024
Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sodium-glucose cotransporter 2 inhibitors (SGLT2Is) and angiotensin receptor-neprilysin inhibitor (ARNI) may cause potential renal damage, the combined impact of SGLT2Is and ARNI on acute kidney injury (AKI) remains unclear. This pharmacovigilance study conducted a disproportionality analysis using reports from the FAERS database. The reporting odds ratio (ROR) was used as an estimate for detecting AKI signal.
View Article and Find Full Text PDFExpert Opin Drug Saf
December 2024
Zhejiang Academy of Traditional Chinese Medicine, Tongde hospital of Zhejiang Province, Hangzhou, Zhejiang, China.
Background: Aducanumab, a monoclonal antibody, received approval for the treatment of Alzheimer's disease in 2021. However, it remains controversial over the security of this drug. In this study, aducanumab-related adverse events (AEs) were evaluated through data mining based on the FDA Adverse Event Reporting System (FAERS) database.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Infectious Disease, Shaoyang Central Hospital, Shaoyang, China.
Objective: To investigate which fluoroquinolone is safer when combined with bedaquiline for tuberculosis treatment by using the FDA Adverse Event Reporting System (FAERS) database.
Methods: We selected data from the first quarter (Q1) of 2013 to the second quarter (Q4) of 2024 from the FDA FAERS database for disproportionality analysis. Signal detection was conducted using the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM).
Front Pharmacol
December 2024
Sleep Medicine Center, Chongqing Mental Health Center, Chongqing, China.
Background: Neuroleptic malignant syndrome (NMS) is a rare but potentially life-threatening adverse drug reaction. This study aims to identify the most prevalent drugs associated with the risk of NMS according to the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.
Methods: Analyses were performed using data from the FAERS database from January 2004 to June 2024.
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