We examined the adverse events that occurred during the administration of a DPP-4 inhibitor in patients with diabetes using FDA Adverse Event Reporting System (FAERS) data.



FDA Adverse Event Reporting System (FAERS)
Comparison of Adverse Events Occurred During Administration of Dipeptidyl Peptidase-4 Inhibitor in Patients with Diabetes Using FDA Adverse Event Reporting System.BACKGROUND AND OBJECTIVE
 Various dipeptidyl peptidase-4 (DPP-4) inhibitors have been approved for the treatment of diabetes.  The frequencies of known serious side effects might differ among DPP-4 inhibitors, therefore a large sample size is needed to study them in prospective clinical trials.  We examined the adverse events that occurred during the administration of a DPP-4 inhibitor in patients with diabetes using FDA Adverse Event Reporting System (FAERS) data.


 We used FAERS data reported between January 2013 and March 2022 in patients with diabetes who received a DPP-4 inhibitor.  Statistical analyses were conducted to calculate reporting odds ratio (ROR) and adjusted ROR (aROR) controlling for differences in patient background.


 RESULTS
 The 9 target DPP-4 inhibitors were sitagliptin (N = 26,843), vildagliptin (N = 4767), alogliptin (N = 2085), linagliptin (N = 7969), saxagliptin (N = 3334), teneligliptin (N = 461), anagliptin (N = 102), trelagliptin (N = 17), and omarigliptin (N = 12).  Compared with sitagliptin, aROR of acute kidney injury was significantly < 1.000 for alogliptin (0.247 [95% confidence interval (CI) 0.150-0.408], p < 0.001) but aROR of pemphigoid was significantly > 1.000 for alogliptin (3.082 [95% CI 2.156-4.406], p < 0.001).  Similar statistical analyses were conducted for other adverse events and the types of adverse events with aROR of significantly < 1.000 or > 1.000 differed depending on the type of DPP-4 inhibitor.


 Although it is impossible to select a DPP-4 inhibitor with aROR of < 1.000 of all occurrences of adverse events, these results may be used for drug selection when the patient has adverse events that need to be avoided.  We provided the sample code of software R that can reproduce the results.
R