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Medication Burden: Beyond Counts to Recognize Polypharmacy as an Inherent Part of Living With Chronic Kidney Disease
Morten Baltzer Houlind1,2,3, Helle Gybel Juul-Larsen1, Charlotte Strandhave4,5
1Department of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark.
Abstract:
Medication burden in older patients with chronic kidney disease (CKD) is substantial, and simple medication counts are insufficient for identifying those at elevated risk of inappropriate prescribing. This study characterized medication burden by assessing the number of medications, potentially inappropriate medications (PIMs) and anticholinergic burden in dialysis and non-dialysis patients with CKD aged ≥ 65 years. This retrospective study included patients with a CKD diagnosis who had hospital contact at the Department of Nephrology, Aalborg University Hospital, Denmark, between January and December 2022. Patients were classified as receiving dialysis or not, and polypharmacy and hyper-polypharmacy were defined as ≥ 5 and ≥ 10 medications, respectively. PIMs were identified using the EU(7)-PIM list, and anticholinergic burden was evaluated using the ACB scale with a cut-off of ≥ 3 points. In total, 140 dialysis patients and 534 non-dialysis patients were included. Polypharmacy was present in all dialysis patients and in 83% of non-dialysis patients, whereas hyper-polypharmacy affected 89% and 56%, respectively. Dialysis patients had a higher median number of PIMs (3 vs. 2) and a greater proportion with an ACB score ≥ 3 (44% vs. 27%). Proton pump inhibitors (PPIs), opioids and non-benzodiazepine hypnotics (Z-drugs) were identified as common PIMs, whereas bladder antimuscarinics (tolterodine and solifenacin), sedating antihistamines (clemastine and promethazine) and antipsychotics with anticholinergic properties (quetiapine) were the most frequently used medications with strong anticholinergic properties. In conclusion, medication burden in patients with CKD is high, and incorporating PIMs and ACB scores may identify prescribing risks not captured by medication counts alone.
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