| Title : Pharmacovigilance study of the association between dipeptidyl peptidase-4 inhibitors and angioedema using the FDA Adverse Event Reporting System (FAERS) - Ohyama_2022_Sci.Rep_12_13122 |
| Author(s) : Ohyama K , Shindo J , Takahashi T , Takeuchi H , Hori Y |
| Ref : Sci Rep , 12 :13122 , 2022 |
|
Abstract :
Dipeptidyl peptidase-4 (DPP-4) plays a minor role in degrading vasoactive peptides that cause angioedema when angiotensin-converting enzyme (ACE) is present and fully functional. This study investigated the association between DPP-4 inhibitors (DPP-4Is) and angioedema, including cases where the concomitant use of ACE inhibitors (ACEIs) was absent. We obtained data from the US Food and Drug Administration Adverse Event Reporting System and performed a disproportionality analysis, using the reporting odds ratio (ROR) and information component (IC) for signal detection in patients aged <= 40 years, stratified by age group and sex. No signal was detected for DPP-4Is when the entire dataset was analyzed. However, a signal was detected for the entire female subset group, the three stratified female groups aged <= 60 years, and males in their 40 s. After excluding the data of concomitant ACEI users, most ROR and IC values were lower and significant only for females in their 60 s and males aged <= 80 years. Regarding individual DPP-4Is signals, those detected for saxagliptin and sitagliptin in some age groups disappeared after excluding the data of ACEI users. Notably, linagliptin was the only DPP-4I where signals were detected in most female groups, regardless of age and without concomitant ACEI use. Our findings suggest that some DPP-4Is were associated with a higher reporting of angioedema as per age and sex, even in the absence of concomitant ACEI use. |
| PubMedSearch : Ohyama_2022_Sci.Rep_12_13122 |
| PubMedID: 35907939 |
Ohyama K, Shindo J, Takahashi T, Takeuchi H, Hori Y (2022)
Pharmacovigilance study of the association between dipeptidyl peptidase-4 inhibitors and angioedema using the FDA Adverse Event Reporting System (FAERS)
Sci Rep
12 :13122
Ohyama K, Shindo J, Takahashi T, Takeuchi H, Hori Y (2022)
Sci Rep
12 :13122