Literature DB >> 31692168

Features of anticholinergic prescriptions and predictors of high use in the elderly: Population-based study.

Kyung-In Joung1, Ju-Young Shin2, Sung-Il Cho3.   

Abstract

PURPOSE: Older people are especially vulnerable to negative anticholinergic effects. Although anticholinergic drugs are commonly used among older people, drugs with potent antimuscarinic properties are considered as potentially inappropriate medications for older people. Here, we examined features of anticholinergic use and investigated predictors for the high use of strong anticholinergic agents (ACs) in the elderly.
METHODS: A total of 388,629 Korean elderly aged ≥70 years were recruited from the 2012 National Health Insurance Service Elderly cohort database. The use of ACs in 2012 was quantitatively assessed by calculating standardized prescribed doses. Multivariate logistic regression was conducted to identify predictors of the high use of strong ACs (≥90 doses).
RESULTS: Almost half of the subjects (47.2%) used more than 15 doses of strong ACs during 2012. 17.0% of the subjects had an annual cumulative use of strong ACs over 90 doses. Morbidities such as depression (odds ratio [OR], 95% confidence interval [CI] = 2.56, 2.48-2.63), Parkinson's disease (2.41, 2.26-2.56), genitourinary diseases (2.12, 2.07-2.16), polypharmacy (3.28, 3.21-3.36), and low income (1.29, 1.25-1.33) were strong predictors of their high use. Antihistamines (chlorpheniramine) and antidepressants (amitriptyline) greatly contributed to the total prescription of strong ACs.
CONCLUSIONS: Despite the vulnerability of older people to the adverse reactions of strong ACs, their use seems to be at a high level in terms of cumulative usage among some elderly. More attention should be paid to older people with predictive factors of high use of strong ACs. Key points Despite the susceptibility of older people to negative anticholinergic effects, high use of strong anticholinergic agents was is quite frequent; 17.0% of the elderly had an annual cumulative use of these drugs ≥90 doses. Parkinson's disease, depression, genitourinary diseases, low income, and polypharmacy strongly predicted the high use of strong anticholinergic agents. A few strong anticholinergic agents, including antihistamines (chlorpheniramine) and antidepressants (amitriptyline), accounted for the majority of medications prescribed. Understanding the predictors of their high use by medical practitioners may result as more appropriate anticholinergic medications.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  National Health Insurance Service (NHIS); anticholinergic agent; elderly cohort; high use; potentially inappropriate medication; prescribed amount; the elderly

Mesh:

Substances:

Year:  2019        PMID: 31692168     DOI: 10.1002/pds.4902

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  5 in total

Review 1.  The patterns and implications of potentially suboptimal medicine regimens among older adults: a narrative review.

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2.  A Cohort Study of Anticholinergic Medication Burden and Incident Dementia and Stroke in Older Adults.

Authors:  Jessica E Lockery; Jonathan C Broder; Joanne Ryan; Ashley C Stewart; Robyn L Woods; Trevor T-J Chong; Geoffrey C Cloud; Anne Murray; Jason D Rigby; Raj Shah; Elsdon Storey; Stephanie A Ward; Rory Wolfe; Christopher M Reid; Taya A Collyer; Michael E Ernst
Journal:  J Gen Intern Med       Date:  2021-03-22       Impact factor: 6.473

3.  Chronic-pharma: New Platform for Chronic Patients Pharmacotherapy Optimization.

Authors:  Angela María Villalba-Moreno; Mercedes Galván-Banqueri; Aitana Rodríguez-Pérez; María Dolores Toscano-Guzmán; Clara López-Hermoso; Susana Sánchez-Fidalgo; Bernardo Santos-Ramos; Eva Rocío Alfaro-Lara
Journal:  J Med Syst       Date:  2022-02-28       Impact factor: 4.460

4.  Potentially Inappropriate Medication Use in Patients with Dementia.

Authors:  Kyungwon Yoon; Jung-Tae Kim; Won-Gun Kwack; Donghyun Kim; Kyung-Tae Lee; Seungwon Yang; Sangmin Lee; Yeo-Jin Choi; Eun-Kyoung Chung
Journal:  Int J Environ Res Public Health       Date:  2022-09-10       Impact factor: 4.614

5.  Quantifying cumulative anticholinergic and sedative drug load among US Medicare Beneficiaries.

Authors:  Shahar Shmuel; Virginia Pate; Marc J Pepin; Janine C Bailey; Laura C Hanson; Til Stürmer; Rebecca B Naumann; Yvonne M Golightly; Danijela Gnjidic; Jennifer L Lund
Journal:  Pharmacoepidemiol Drug Saf       Date:  2020-10-15       Impact factor: 2.890

  5 in total

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