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Polypharmacy and the Progression of Chronic Kidney Disease: Korean Cohort Study for Outcome in Patients with Chronic Kidney Disease

Authors
Min, Hyang KiSung, Su AhChung, WookyungKim, Yeong HoonChae, Dong-WanAhn, CurieOh, Kook-HwanPark, Sue K.Lee, Sung Woo
Issue Date
Aug-2021
Publisher
KARGER
Keywords
Chronic kidney disease; Polypharmacy; Progression; Renal hazard; Serial medication count
Citation
KIDNEY & BLOOD PRESSURE RESEARCH, v.46, no.4, pp.460 - 468
Journal Title
KIDNEY & BLOOD PRESSURE RESEARCH
Volume
46
Number
4
Start Page
460
End Page
468
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82079
DOI
10.1159/000516029
ISSN
1420-4096
Abstract
Introduction: The renal hazard of polypharmacy has never been evaluated in predialysis chronic kidney disease (CKD) patients. Objective: We aimed to analyze the renal hazard of polypharmacy in predialysis CKD patients with stage 1-5. Method: The data of 2,238 patients from a large-scale multicenter prospective Korean study (2011-2016), excluding 325 patients with various missing data, were reviewed. Polypharmacy was defined as taking 6 or more medications at the time of enrollment; renal events were defined as a >= 50% decrease in kidney function from baseline values, doubling of the serum creatinine levels, or initiation of renal replacement treatment. Hazard ratio (HR) and 95% confidence interval (CI) were calculated using Cox proportional-hazard regression analysis. Results: Of the 1,913 patients, the mean estimated glomerular filtration rate was 53.6 mL/min/1.73 m(2). The mean medication count was 4.1, and the prevalence of polypharmacy was 27.1%. During the average period of 3.6 years, 520 patients developed renal events (27.2%). Although increased medication counts were associated with increased renal hazard with HR (95% CI) of 1.056 (1.007-1.107, p = 0.025), even after adjusting for various confounders, adding comorbidity score and kidney function nullified the statistical significance. In mediation analysis, 55.6% (p = 0.016) of renal hazard in increased medication counts was mediated by the kidney function, and there was no direct effect of medication counts on renal event development. In subgroup analysis, the renal hazard of the medication counts was evident only in stage 1-3 of CKD patients (p for interaction = 0.014). Conclusions: We cannot identify the direct renal hazard of multiple medications, and most of the potential renal hazard was derived from intimate relationship with disease burden and kidney function.
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