Skip to main content

Advertisement

Log in

Prevalence of anticholinergic burden and risk factors amongst the older population: analysis of insurance claims data of Korean patients

  • Research Article
  • Published:
International Journal of Clinical Pharmacy Aims and scope Submit manuscript

Abstract

Background Despite growing interest in the negative clinical outcomes of multiple anticholinergic use, limited studies have evaluated anticholinergic burden in the geriatric population nationally. Objective To evaluate the prevalence of high anticholinergic burden using the newly developed Korean Anticholinergic Burden Scale in comparison with previous tools and to identify associated factors. Setting National insurance data from a cross section (20%) of older Koreans (2016). Methods Anticholinergic burden was measured using the Korean scale in comparison to the Anticholinergic Drug Scale, Anticholinergic Cognitive Burden, and Anticholinergic Risk Scale. High anticholinergic burden was defined as a summed score of ≥ 3 for concurrent medications or a dose-standardized average daily score of ≥ 3, using each anticholinergic scale. Main outcomes measured Prevalence and predictors of high anticholinergic burden. Results Data of 1,292,323 patients were analyzed. According to the Korean scale, the prevalence of high anticholinergic burden was 25.5%. This result was similar to that from the Anticholinergic Drug Scale (24.9%) and Anticholinergic Cognitive Burden (22.2%). Factors associated with an increased likelihood of anticholinergic burden include: age, gender (female), high Charlson comorbidity index score, polypharmacy, medical aid beneficiary, co-morbidities (such as schizophrenia, depression, urinary incontinence, and Parkinson’s disease), frequent healthcare visits, various healthcare facilities utilized, and predominantly visiting hospital-level facilities. According to the Korean Anticholinergic Burden Scale, the major drugs contributing to the anticholinergic burden were ranitidine, chlorpheniramine, tramadol, and dimenhydrinate. Conclusion This study showed that 1 in 4 older Koreans are exposed to high anticholinergic burden. The predictors identified in this research might assist pharmacists in early interventions for their patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Mintzer J, Burns A. Anticholinergic side-effects of drugs in elderly people. J R Soc Med. 2000;93(9):457–62. https://doi.org/10.1177/014107680009300903.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Gray SL, Anderson ML, Dublin S, Hanlon JT, Hubbard R, Walker R, et al. Cumulative use of strong anticholinergics and incident dementia: a prospective cohort study. JAMA Intern Med. 2015;175(3):401–7. https://doi.org/10.1001/jamainternmed.2014.7663.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Shi S, Klotz U. Age-related changes in pharmacokinetics. Curr Drug Metab. 2011;12(7):601–10.

    Article  CAS  PubMed  Google Scholar 

  4. Welsh TJ, van der Wardt V, Ojo G, Gordon AL, Gladman JRF. Anticholinergic drug burden tools/Scales and adverse outcomes in different clinical settings: a systematic review of reviews. Drugs Aging. 2018;35(6):523–38. https://doi.org/10.1007/s40266-018-0549-z.

    Article  CAS  PubMed  Google Scholar 

  5. Salahudeen MS, Nishtala PS, Duffull SB. The influence of patient characteristics on anticholinergic events in older people. Dement Geriatr Cogn Dis Extra. 2016;5:530–41.

    Article  PubMed  PubMed Central  Google Scholar 

  6. By the 2019 American Geriatrics Society Beers Criteria® Update Expert Panel. American Geriatrics Society 2019 Updated AGS Beers Criteria® for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2019;67(4):674–94. https://doi.org/10.1111/jgs.15767.

    Article  Google Scholar 

  7. Parkinson L, Magin PJ, Thomson A, Byles JE, Caughey GE, Etherton-Beer C, et al. Anticholinergic burden in older women: not seeing the wood for the trees? Med J Aust. 2015;202(2):91–4.

    Article  PubMed  Google Scholar 

  8. Reppas-Rindlisbacher CE, Fischer HD, Fung K, Gill SS, Seitz D, Tannenbaum C, et al. Anticholinergic drug burden in persons with dementia taking a cholinesterase inhibitor: the effect of multiple physicians. J Am Geriatr Soc. 2016;64(3):492–500. https://doi.org/10.1111/jgs.14034.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kouladjian O'Donnell L, Gnjidic D, Nahas R, Bell JS, Hilmer SN. Anticholinergic burden: considerations for older adults. J Pharm Pract Res. 2017;47(1):67–77. https://doi.org/10.1002/jppr.1303.

    Article  Google Scholar 

  10. Kersten H, Wyller TB. Anticholinergic drug burden in older people's brain—how well is it measured? Basic Clin Pharmacol Toxicol. 2014;114(2):151–9. https://doi.org/10.1111/bcpt.12140.

    Article  CAS  PubMed  Google Scholar 

  11. Boustani M, Campbell N, Munger S, Maidment I, Fox C. Impact of anticholinergics on the aging brain: a review and practical application. Aging Health. 2008;4(3):311–20.

    Article  CAS  Google Scholar 

  12. Campbell N, Boustani M, Limbil T, Ott C, Fox C, Maidment I, et al. The cognitive impact of anticholinergics: a clinical review. Clin Interv Aging. 2009;4:225–33.

    PubMed  PubMed Central  Google Scholar 

  13. Carnahan RM, Lund BC, Perry PJ, Pollock BG, Culp KR. The Anticholinergic Drug Scale as a measure of drug-related anticholinergic burden: associations with serum anticholinergic activity. J Clin Pharmacol. 2006;46(12):1481–6. https://doi.org/10.1177/0091270006292126.

    Article  CAS  PubMed  Google Scholar 

  14. Lozano-Ortega G, Johnston KM, Cheung A, Wagg A, Campbell NL, Dmochowski RR, et al. A review of published anticholinergic scales and measures and their applicability in database analyses. Arch Gerontol Geriatr. 2019. https://doi.org/10.1016/j.archger.2019.05.010.

    Article  PubMed  Google Scholar 

  15. Jun K, Hwang S, Ah YM, Suh Y, Lee JY. Development of an Anticholinergic Burden Scale specific for Korean older adults. Geriatr Gerontol Int. 2019;19(7):628–34. https://doi.org/10.1111/ggi.13680.

    Article  PubMed  Google Scholar 

  16. West T, Pruchnicki MC, Porter K. Emptage R 2013 Evaluation of anticholinergic burden of medications in older adults. J Am Pharm Assoc (2003). 2013;53(5):496–504. https://doi.org/10.1331/JAPhA.2013.12138.

    Article  Google Scholar 

  17. Pont LG, Nielen JT, McLachlan AJ, Gnjidic D, Chan L, Cumming RG, et al. Measuring anticholinergic drug exposure in older community-dwelling Australian men: a comparison of four different measures. Br J Clin Pharmacol. 2015;80(5):1169–75. https://doi.org/10.1111/bcp.12670.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Jean-Bart E, Moutet C, Dauphinot V, Krolak-Salmon P, Mouchoux C. Exposure to anticholinergic and sedative medicines as indicators of high-risk prescriptions in the elderly. Int J Clin Pharm. 2017;39(6):1237–47. https://doi.org/10.1007/s11096-017-0533-4.

    Article  PubMed  Google Scholar 

  19. Sumukadas D, McMurdo ME, Mangoni AA, Guthrie B. Temporal trends in anticholinergic medication prescription in older people: repeated cross-sectional analysis of population prescribing data. Age Ageing. 2014;43(4):515–21. https://doi.org/10.1093/ageing/aft199.

    Article  PubMed  Google Scholar 

  20. Campbell NL, Perkins AJ, Bradt P, Perk S, Wielage RC, Boustani MA, et al. Association of anticholinergic burden with cognitive impairment and health care utilization among a diverse ambulatory older adult population. Pharmacotherapy. 2016;36(11):1123–31. https://doi.org/10.1002/phar.1843.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Hwang S, Jun K, Ah Y-M, Han E, Chung JE, Lee J-Y. Impact of anticholinergic burden on emergency department visits among older adults in Korea: A national population cohort study. Arch Gerontol Geriatr. 2019;85:103912.

    Article  PubMed  Google Scholar 

  22. Sevilla-Sanchez D, Molist-Brunet N, Gonzalez-Bueno J, Sola-Bonada N, Espaulella-Panicot J, Codina-Jane C. Prevalence, risk factors and adverse outcomes of anticholinergic burden in patients with advanced chronic conditions at hospital admission. Geriatr Gerontol Int. 2018;18(8):1159–65. https://doi.org/10.1111/ggi.13330.

    Article  PubMed  Google Scholar 

  23. Masnoon N, Shakib S, Kalisch-Ellett L, Caughey GE. What is polypharmacy? A systematic review of definitions. BMC Geriatr. 2017;17:230.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (2017R1D1A1B03029528).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ju-Yeun Lee.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file 1 (DOCX 32 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jun, K., Ah, YM., Hwang, S. et al. Prevalence of anticholinergic burden and risk factors amongst the older population: analysis of insurance claims data of Korean patients. Int J Clin Pharm 42, 453–461 (2020). https://doi.org/10.1007/s11096-020-01010-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11096-020-01010-7

Keywords

Navigation