Can glucagon-like peptide-1 receptor agonists cause acute kidney injury? An analytical study based on post-marketing approval pharmacovigilance data

• Published in: Frontiers in endocrinology (Lausanne) Vol. 13; p. 1032199
• Main Authors: Dong, Shichao, Sun, Chuan
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 13.12.2022
• Subjects: acute kidney injury; Acute Kidney Injury - chemically induced; Acute Kidney Injury - epidemiology; adverse event reporting system; Aged; Aged, 80 and over; Bayes Theorem; data mining; Endocrinology; Female; Glucagon-Like Peptide-1 Receptor - agonists; glucagon-like peptide-1 receptor agonist; Humans; Liraglutide - adverse effects; Male; Middle Aged; Obesity - drug therapy; onset time; outcome; Pharmacovigilance; acute kidney injury; glucagon-like peptide-1 receptor agonist; adverse event reporting system; onset time; data mining; outcome
• ISSN: 1664-2392; 1664-2392
• DOI: 10.3389/fendo.2022.1032199

Clinical studies after marketing have shown that the use of glucagon-like peptide-1 receptor agonist(GLP-1RA) may lead to acute kidney injury(AKI). However, few epidemiological studies have investigated the risk, clinical features, and outcomes of AKI caused by different GLP-1RA. In this study, Adverse Event Reporting System (FAERS) data were used to compare the association between different GLP-1RA and AKI in the real world. FAERS data from January 2004 to December 2021 were mined using disproportionality analysis and Bayesian analysis to determine the correlation between different GLP-1RA and AKI, and the onset time, mortality, and hospitalization rate of different GLP-1RA were analyzed. We identified 2670 cases of AKI events associated with GLP-1RA, of which liraglutide was the most commonly reported (34.98%). The patients with AKI were mainly males (47.94%), and the age group was mainly 45-84 years old (73.15%). obese patients with weight more than 99kg (24.42%) were more likely to have AKI. According to different signal mining methods, reporting odds ratio (ROR) (1.50, 95% confidence interval =1.41-1.60) and Bayesian confidence Propagation neural network (0.57, 95% confidence interval =0.54), liraglutide was more strongly associated with AKI than other GLP-1RA. The median time to onset of AKI was 63 days [quartile range (IQR): 15-458.5 days]. In addition, the hospitalization rate and fatality rate of patients with GLP-1RA-related AKI were 45.28% and 4.23% respectively. Based on the data in the FAERS database, we analyzed the risk, onset time, and adverse reaction outcomes of GLP-1RA-induced AKI in detail. The results showed that liraglutide had the highest risk of AKI. From the early stage of treatment, we need to monitor patients' renal function regularly, especially for patients with high kidney risks such as obesity and age.