Polypharmacy and multiple sclerosis: A population-based study
- PMID: 36301629
- PMCID: PMC9896267
- DOI: 10.1177/13524585221122207
Polypharmacy and multiple sclerosis: A population-based study
Abstract
Background: Little is known about polypharmacy and multiple sclerosis (MS).
Objectives: To estimate polypharmacy prevalence in a population-based MS cohort and compare persons with/without polypharmacy.
Methods: Using administrative and pharmacy data from Canada, we estimated polypharmacy prevalence (⩾5 concurrent medications for >30 consecutive days) in MS individuals in 2017. We compared the characteristics of persons with/without polypharmacy and described the number of polypharmacy days, the most common medication classes contributing to polypharmacy and hyper-polypharmacy prevalence (⩾10 medications).
Results: Of 14,227 included individuals (75% women), mean age = 55.4 (standard deviation (SD): 13.2) years; 28% (n = 3995) met criteria for polypharmacy (median polypharmacy days = 273 (interquartile range (IQR): 120-345)). Odds of polypharmacy were higher for women (adjusted odds ratio (aOR) = 1.14; 95% confidence intervals (CI):1.04-1.25), older individuals (aORs 50-64 years = 2.04; 95% CI:1.84-2.26; ⩾65 years = 3.26; 95% CI: 2.92-3.63 vs. <50 years), those with more comorbidities (e.g. ⩾3 vs. none, aOR = 6.03; 95% CI: 5.05-7.22) and lower socioeconomic status (SES) (e.g. most (SES-Q1) vs. least deprived (SES-Q5) aOR = 1.64; 95% CI: 1.44-1.86). Medication classes most commonly contributing to polypharmacy were as follows: antidepressants (66% of polypharmacy days), antiepileptics (47%), and peptic ulcer drugs (41%). Antidepressants were most frequently co-prescribed with antiepileptics (34% of polypharmacy days) and peptic ulcer drugs (27%). Five percent of persons (716/14,227) experienced hyper-polypharmacy.
Conclusion: More than one in four MS persons met criteria for polypharmacy. The odds of polypharmacy were higher for women, older persons, and those with more comorbidities, but lower SES.
Keywords: MS; pharmacoepidemiology; polypharmacy; population-based data; prescription medication use.
Conflict of interest statement
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: A.C. receives funding from the MS Society of Canada’s endMS Postdoctoral Fellowship and the Michael Smith Foundation for Health Research Trainee Award. H.S.N. has received funding from the Multiple Sclerosis Society of Canada’s endMS Postdoctoral Fellowship, and the Michael Smith Foundation for Health Research Trainee Award. F.Z. and Y.Z. have no disclosures. H.T. has, in the last 5 years, received research support from the Canada Research Chair Program, the National Multiple Sclerosis Society, the Canadian Institutes of Health Research, the Multiple Sclerosis Society of Canada, and the Multiple Sclerosis Scientific Research Foundation. In addition, in the last 5 years, has had travel expenses or registration fees prepaid or reimbursed to present at CME conferences from the Consortium of MS Centers (2018), National MS Society (2016, 2018), ECTRIMS/ACTRIMS (2015, 2016, 2017, 2018, 2019, 2020, 2021, and 2022), American Academy of Neurology (2015, 2016, and 2019). Speaker honoraria are either declined or donated to an MS charity or to an unrestricted grant for use by HT’s research group.
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Comment in
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Polypharmacy in multiple sclerosis: More is not necessarily better.Mult Scler. 2023 Jan;29(1):3-5. doi: 10.1177/13524585221129964. Epub 2022 Oct 14. Mult Scler. 2023. PMID: 36239156 No abstract available.
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