PMID- 34855908 OWN - NLM STAT- MEDLINE DCOM- 20220114 LR - 20220114 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 16 IP - 12 DP - 2021 TI - Analysis of anticholinergic adverse effects using two large databases: The US Food and Drug Administration Adverse Event Reporting System database and the Japanese Adverse Drug Event Report database. PG - e0260980 LID - 10.1371/journal.pone.0260980 [doi] LID - e0260980 AB - INTRODUCTION: Anticholinergic adverse effects (AEs) are a problem for elderly people. This study aimed to answer the following questions. First, is an analysis of anticholinergic AEs using spontaneous adverse drug event databases possible? Second, what is the main drug suspected of inducing anticholinergic AEs in the databases? Third, do database differences yield different results? METHODS: We used two databases: the US Food and Drug Administration Adverse Event Reporting System database (FAERS) and the Japanese Adverse Drug Event Report database (JADER) recorded from 2004 to 2020. We defined three types of anticholinergic AEs: central nervous system (CNS) AEs, peripheral nervous system (PNS) AEs, and a combination of these AEs. We counted the number of cases and evaluated the ratio of drug-anticholinergic AE pairs between FAERS and JADER. We computed reporting odds ratios (RORs) and assessed the drugs using Beers Criteria(R). RESULTS: Constipation was the most reported AE in FAERS. The ratio of drug-anticholinergic AE pairs was statistically significantly larger in FAERS than JADER. Overactive bladder agents were suspected drugs common to both databases. Other drugs differed between the two databases. CNS AEs were associated with antidementia drugs in FAERS and opioids in JADER. In the assessment using Beers Criteria(R), signals were detected for almost all drugs. Between the two databases, a significantly higher positive correlation was observed for PNS AEs (correlation coefficient 0.85, P = 0.0001). The ROR was significantly greater in JADER. CONCLUSIONS: There are many methods to investigate AEs. This study shows that the analysis of anticholinergic AEs using spontaneous adverse drug event databases is possible. From this analysis, various suspected drugs were detected. In particular, FAERS had many cases. The differences in the results between the two databases may reflect differences in the reporting countries. Further study of the relationship between drugs and CNS AEs should be conducted. FAU - Nagai, Junko AU - Nagai J AUID- ORCID: 0000-0002-9069-5752 AD - The Office of Institutional Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan. FAU - Ishikawa, Yoichi AU - Ishikawa Y AD - Division of Clinical Pharmacy, Department of Pediatric Pharmaceutical Sciences, Education and Research Center for Pharmacy, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20211202 PL - United States TA - PLoS One JT - PloS one JID - 101285081 RN - 0 (Cholinergic Antagonists) SB - IM MH - Adverse Drug Reaction Reporting Systems/*statistics & numerical data MH - Central Nervous System Diseases/*drug therapy/epidemiology/pathology MH - Cholinergic Antagonists/*adverse effects MH - Databases, Factual/*statistics & numerical data MH - Drug-Related Side Effects and Adverse Reactions/*epidemiology/etiology/pathology MH - Humans MH - Japan/epidemiology MH - Peripheral Nervous System Diseases/*drug therapy/epidemiology/pathology MH - Software MH - United States/epidemiology PMC - PMC8638968 COIS- The authors have declared that no competing interests exist. EDAT- 2021/12/03 06:00 MHDA- 2022/01/15 06:00 PMCR- 2021/12/02 CRDT- 2021/12/02 17:34 PHST- 2021/07/30 00:00 [received] PHST- 2021/11/21 00:00 [accepted] PHST- 2021/12/02 17:34 [entrez] PHST- 2021/12/03 06:00 [pubmed] PHST- 2022/01/15 06:00 [medline] PHST- 2021/12/02 00:00 [pmc-release] AID - PONE-D-21-24784 [pii] AID - 10.1371/journal.pone.0260980 [doi] PST - epublish SO - PLoS One. 2021 Dec 2;16(12):e0260980. doi: 10.1371/journal.pone.0260980. eCollection 2021.