Patterns of medication use and the burden of polypharmacy in patients with chronic kidney disease: the German Chronic Kidney Disease study.

GCKD study chronic kidney disease medication use polypharmacy prescription patterns

Journal

Clinical kidney journal
ISSN: 2048-8505
Titre abrégé: Clin Kidney J
Pays: England
ID NLM: 101579321

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 24 10 2018
entrez: 5 10 2019
pubmed: 5 10 2019
medline: 5 10 2019
Statut: epublish

Résumé

Patients with chronic kidney disease (CKD) bear a substantial burden of comorbidities leading to the prescription of multiple drugs and a risk of polypharmacy. However, data on medication use in this population are scarce. A total of 5217 adults with an estimated glomerular filtration rate (eGFR) between 30 and 60 mL/min/1.73 m The prevalence of polypharmacy at baseline and FU was almost 80%, ranging from 62% in patients with CKD Stage G1 to 86% in those with CKD Stage G3b. The median number of different medications taken per day was eight (range 0-27). β-blockers, angiotensin-converting enzyme inhibitors and statins were most frequently used. Increasing CKD G stage, age and body mass index, diabetes mellitus, cardiovascular disease and a history of smoking were significantly associated with both the prevalence of polypharmacy and its maintenance during FU. Diabetes mellitus was also significantly associated with the initiation of polypharmacy [odds ratio (OR) 2.46, (95% confidence interval 1.36-4.45); P = 0.003]. Medication burden in CKD patients is high. Further research appears warranted to address the implications of polypharmacy, risks of drug interactions and strategies for risk reduction in this vulnerable patient population.

Sections du résumé

BACKGROUND BACKGROUND
Patients with chronic kidney disease (CKD) bear a substantial burden of comorbidities leading to the prescription of multiple drugs and a risk of polypharmacy. However, data on medication use in this population are scarce.
METHODS METHODS
A total of 5217 adults with an estimated glomerular filtration rate (eGFR) between 30 and 60 mL/min/1.73 m
RESULTS RESULTS
The prevalence of polypharmacy at baseline and FU was almost 80%, ranging from 62% in patients with CKD Stage G1 to 86% in those with CKD Stage G3b. The median number of different medications taken per day was eight (range 0-27). β-blockers, angiotensin-converting enzyme inhibitors and statins were most frequently used. Increasing CKD G stage, age and body mass index, diabetes mellitus, cardiovascular disease and a history of smoking were significantly associated with both the prevalence of polypharmacy and its maintenance during FU. Diabetes mellitus was also significantly associated with the initiation of polypharmacy [odds ratio (OR) 2.46, (95% confidence interval 1.36-4.45); P = 0.003].
CONCLUSION CONCLUSIONS
Medication burden in CKD patients is high. Further research appears warranted to address the implications of polypharmacy, risks of drug interactions and strategies for risk reduction in this vulnerable patient population.

Identifiants

pubmed: 31584562
doi: 10.1093/ckj/sfz046
pii: sfz046
pmc: PMC6768303
doi:

Types de publication

Journal Article

Langues

eng

Pagination

663-672

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA.

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Auteurs

Insa M Schmidt (IM)

Department of Clinical Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Silvia Hübner (S)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Jennifer Nadal (J)

Department of Medical Biometry, Informatics, and Epidemiology, University Hospital, Bonn, Germany.

Stephanie Titze (S)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Matthias Schmid (M)

Department of Medical Biometry, Informatics, and Epidemiology, University Hospital, Bonn, Germany.

Barbara Bärthlein (B)

Department of Medical Informatics, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Medical Centre for Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany.

Georg Schlieper (G)

Division of Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany.

Thomas Dienemann (T)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Ulla T Schultheiss (UT)

Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.

Heike Meiselbach (H)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Anna Köttgen (A)

Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.

Jürgen Flöge (J)

Division of Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany.

Martin Busch (M)

Department of Internal Medicine III, University Hospital Jena, Jena, Germany.

Reinhold Kreutz (R)

Department of Clinical Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Jan T Kielstein (JT)

Medical Clinic V - Nephrology, Rheumatology, Blood Purification, Academic Teaching Hospital Braunschweig, Braunschweig, Germany.

Kai-Uwe Eckardt (KU)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Classifications MeSH