Geriatrics on beers criteria medications at risk of adverse drug events using real-world data.
OBJECTIVES: The established Beers Criteria consider side effects and safety concerns when prescribing drugs to the elderly. As the criteria suggest that attention should be paid toward prescriptions rather than prescription prohibition lists, these Beers Criteria medications (BCMs) are used appropriately under unavoidable circumstances.
METHODS: Patients aged >/= 65 years and with an experience of being prescribed inappropriate medications at Konyang University Hospital, South Korea, were selected. We analyzed data from the Korea Adverse Event Reporting System (KAERS) and the Food and Drug Administration Adverse Event Reporting System (FAERS) of the United States to identify medication-induced adverse drug events (ADEs). The actual incidence was predicted by multiplying the incidence and number of BCMs prescribed to the patients. The proportional reporting ratio (PRR) and reporting odds ratio (ROR) were calculated using KAERS and FAERS data.
RESULTS: We predicted that the incidence of ADEs would be higher for metoclopramide, chlorpheniramine, and amitriptyline in patients using medications for more than 1 day and metoclopramide, chlorpheniramine, and ketoprofen in patients using medications only for 1 day. Among the ADEs reported to KAERS and FAERS, significant ROR and PRR values were noted for clonazepam (drowsiness), nortriptyline (sleepiness), and zolpidem (amnesia, somnambulism, agitation, dependence, nightmare, and dysgeusia).
CONCLUSION: This study highlighted the actual status of BCM prescriptions in clinical institutions and predicted the incidence of ADEs. We concluded that greater care must be taken while prescribing BCMs to the elderly and indicators, such as PRR and ROR should be monitored regularly.
|投稿者||Shin, Hyunah; Kim, Nanyeong; Cha, Jaehun; Kim, Grace Juyun; Kim, Ju Han; Kim, Jong-Yeup; Lee, Suehyun|
|ジャーナル名||International journal of medical informatics|
|組織名||Health Care Data Science Center, Konyang University Hospital, Daejeon, Republic;of Korea.;Departments of Biomedical Informatics, Konyang University College of Medicine,;Daejeon, Republic of Korea.;Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical;Informatics, Seoul National University College of Medicine, Seoul, Republic of;Korea.;of Korea; Departments of Biomedical Informatics, Konyang University College of;Medicine, Daejeon, Republic of Korea.;Medicine, Daejeon, Republic of Korea. Electronic address: email@example.com.|