Use of drugs with anticholinergic activity in outpatients with multiple myeloma: associated factors and agreement between measurement scales

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https://doi.org/10.30968/jhphs.2025.163.1239

Abstract

Objective: to determine frequency and factors associated with anticholinergic drugs (DAch) use in patients with multiple myeloma (MM) and analyse the agreement between three anticholinergic scales in classification and categorization of anticholinergic burden. Methods: it was carried out a cross-sectional study with MM outpatients in different services in a state capital city in Brazil. Anticholinergic activity was identified by Brazilian Anticholinergic Activity Drug Scale (BAADS), Anticholinergic Cognitive Burden Scale (ACB), and Anticholinergic Risk Scale (ARS). Multiple logistic regression was performed to identify associated factors. Agreement between scales in classification and categorization of anticholinergic burden determined by Fleiss Kappa and weighted Kappa, respectively. Results: 213 patients with MM were included, median age was 67.2 years. The median number of drugs used was 6 (IQR=6; min=1 and max=19), and approximately 153 (72%) of the patients used polypharmacy. It was identified 56 drugs used with anticholinergic activity. The most used DAch were antidepressants, antipsychotics, and opioids. Frequency of DAch use ranged from 12.7% to 70%. Low agreement was observed in the classification of DAch (k= 0.144). Between BAADS and ACB there is moderate agreement in the classification of cumulative anticholinergic burden (k=0.562; agreement=66.2%). Use of DAch was associated with polypharmacy, according to the three scales. Conclusion: Frequency of DAch use was high, according to BAADS and ACB scales, and positively associated with polypharmacy. There is low agreement classification of DAch and moderate agreement in categorization of anticholinergic burden. Future research should investigate the impact of DAch in clinical outcomes, benefits of anticholinergic deprescribing and criteria to determine DAch score.

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References

Rajkumar SV. Multiple myeloma: 2020 update on diagnosis, risk stratification and management. Am J Hematol. 2020;95(5):548-567. doi:10.1002/ajh.25791

Huang J, Chan SC, Lok V, et al. The epidemiological landscape of multiple myeloma: a global cancer registry estimate of disease burden, risk factors, and temporal trends. Lancet Haematol. 2022;9(9):e670-e677. doi:10.1016/S2352-3026(22)00165-X

Umýt EG, Baysal M, Bas V, et al. Polypharmacy and potentially inappropriate medication use in older patients with multiple myeloma, related to fall risk and autonomous neuropathy. J Oncol Pharm Pract. 2020;26(1):43-50. doi:10.1177/1078155219835303

Wildes TM, Tuchman SA, Klepin HD, et al. Geriatric Assessment in Older Adults with Multiple Myeloma. J Am Geriatr Soc. 2019;67(5):987-991. doi:10.1111/jgs.15715

American Geriatrics Society. American Geriatrics Society 2023 updated AGS Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2023;71(7):2052-2081. doi:10.1111/jgs.18372

O’Mahony D, Cherubini A, Guiteras AR, et al. STOPP/START criteria for potentially inappropriate prescribing in older people: version 3. Eur Geriatr Med. 2023;14(4):625-632. doi:10.1007/s41999-023-00777-y

Boustani M, Campbell N, Munger S, et al. Impact of anticholinergics on the aging brain: a review and practical application. Aging Health, 2008;4(3):311-320. doi:10.2217/1745509X.4.3.311

Fox C, Smith T, Maidment I, et al. Effect of medications with anti-cholinergic properties on cognitive function, delirium, physical function and mortality: a systematic review. Age Ageing. 2014;43(5):604-615. doi:10.1093/ageing/afu096

Durán CE, Azermai M, Vander Stichele RH. Systematic review of anticholinergic risk scales in older adults. Eur J Clin Pharmacol. 2013;69(7):1485-1496. doi:10.1007/s00228-013-1499-3

Lavrador M, Castel-Branco MM, Cabral AC, et al. Association between anticholinergic burden and anticholinergic adverse outcomes in the elderly: Pharmacological basis of their predictive value for adverse outcomes. Pharmacol Res. 2021;163:105306. doi:10.1016/j.phrs.2020.105306

Roitto HM, Aalto UL, Öhman H, et al. Association of medication use with falls and mortality among long-term care residents: a longitudinal cohort study. BMC Geriatr. 2023;23(1):375. doi:10.1186/s12877-023-04096-6

Norling AM, Bennett A, Crowe M, et al. Longitudinal associations of anticholinergic medications on cognition and possible mitigating role of physical activity. J Am Geriatr Soc. 2023;71(6):1937-1943. doi:10.1111/jgs.18279

Stewart C, Yrjana K, Kishor M, et al. Anticholinergic Burden Measures Predict Older People’s Physical Function and Quality of Life: A Systematic Review. J Am Med Dir Assoc. 2021;22(1):56-64. doi:10.1016/j.jamda.2020.05.065

Nery RT, Reis AMM. Development of a Brazilian anticholinergic activity drug scale. Einstein (Sao Paulo). 2019;17(2):eAO4435. doi:10.31744/einstein_journal/2019AO4435

Rudolph JL, Salow MJ, Angelini MC, et al. The anticholinergic risk scale and anticholinergic adverse effects in older persons. Arch Intern Med. 2008;168(5):508-513. doi:10.1001/archinternmed.2007.106

Gisev N, Bell JS, Chen TF. Interrater agreement and interrater reliability: key concepts, approaches, and applications. Res Social Adm Pharm. 2013;9(3):330-338. doi:10.1016/j.sapharm.2012.04.004

Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-174.

Yasin AI, Topcu A, Akuc MN, et al. A comparison of anticholinergic burden in older patients with and without cancer. Future Oncol. 2021;17(36):5067-5075. doi:10.2217/fon-2021-0469

Xu XJ, Tan MP. Anticholinergics and falls in older adults. Expert Rev Clin Pharmacol. 2022;15(3):285-294. doi:10.1080/17512433.2022.2070474

Hochman MJ, Kamal AH, Wolf SP, et al. Anticholinergic Drug Burden in Noncancer Versus Cancer Patients Near the End of Life. J Pain Symptom Manage. 2016;52(5):737-743.e3. doi:10.1016/j.jpainsymman.2016.03.020

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. 2020;42(2):453-461. doi:10.1007/s11096-020-01010-7

Feng X, Higa GM, Safarudin F, et al. Prevalence and factors associated with potentially inappropriate medication use in older Medicare beneficiaries with cancer. Res Social Adm Pharm. 2020;16(10):1459-1471. doi:10.1016/j.sapharm.2019.12.018

Kuczmarski TM, Jaung T, Mancuso CE, et al. Precancer and cancer-associated depression and anxiety among older adults with blood cancers in the United States. Blood Adv. 2022;6(4):1126-1136. doi:10.1182/bloodadvances.2021005862

Kantilal K, Kantilal K, Nightingale G, et al. How-to guide for medication reviews in older adults with cancer: A Young International Society of Geriatric Oncology and Nursing & Allied Health Interest Group initiative. J Geriatr Oncol. 2022;13(8):1283-1286. doi:10.1016/j.jgo.2022.05.012

Ailabouni N, Mangin D, Nishtala PS. DEFEAT-polypharmacy: deprescribing anticholinergic and sedative medicines feasibility trial in residential aged care facilities. Int J Clin Pharm. 2019;41(1):167-178. doi:10.1007/s11096-019-00784-9

Geyer HL, Gazelka H, Mesa R. How I treat pain in hematologic malignancies safely with opioid therapy. Blood. 2020;135(26):2354-2364. doi:10.1182/blood.2019003116

Valladales-Restrepo LF, Duran-Lengua M, Castro-Osorio EE, et al. Consistency between anticholinergic burden scales in the elderly with fractures. PLoS One. 2020;15(2):e0228532. doi:10.1371/journal.pone.0228532

Naples JG, Marcum ZA, Perera S, et al. Concordance Between Anticholinergic Burden Scales. J Am Geriatr Soc. 2015;63(10):2120-2124. doi:10.1111/jgs.13647

Lavrador M. Quantificação da carga anticolinérgica como preditor de resultados clínicos negativos no idoso–um contributo para a prática clínica. Coimbra: Universidade de Coimbra;2021.

Lisibach A, Benelli V, Ceppi MG, et al. Quality of anticholinergic burden scales and their impact on clinical outcomes: a systematic review. Eur J Clin Pharmacol. 2021;77(2):147-162. doi:10.1007/s00228-020-02994-x

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2025-09-25

How to Cite

1.
LIMA MS, PÁDUA CM, DRUMMOND PL, SILVEIRA LP, MALTA JS, SANTOS RM, MACHADO TR, COSTA NL, REIS AM. Use of drugs with anticholinergic activity in outpatients with multiple myeloma: associated factors and agreement between measurement scales. J Hosp Pharm Health Serv [Internet]. 2025Sep.25 [cited 2025Oct.12];16(3):e1239. Available from: https://jhphs.org/sbrafh/article/view/1239

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ORIGINAL ARTICLES

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