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European Journal of Clinical Pharmacology

, Volume 74, Issue 12, pp 1633–1644 | Cite as

The associations of geriatric syndromes and other patient characteristics with the current and future use of potentially inappropriate medications in a large cohort study

  • Dana Clarissa Muhlack
  • Liesa Katharina Hoppe
  • Christian Stock
  • Walter E. Haefeli
  • Hermann Brenner
  • Ben Schöttker
Pharmacoepidemiology and Prescription

Abstract

Purpose

To assess the changes in use of potentially inappropriate medication (PIM) as defined by the 2015 Beers criteria, the EU(7)-PIM, and the PRISCUS list over a 6-year period and to identify determinants for current and future PIM use with a particular focus on geriatric syndromes.

Methods

In a German cohort of 2878 community-dwelling adults aged ≥ 60 years, determinants of the use of ≥ 1 PIM were identified in multivariable logistic regression (cross-sectional analysis) and weighted generalized estimating equation models (longitudinal analysis).

Results

Prevalences for Beers, EU(7), and PRISCUS PIM were 26.4, 37.4, and 13.7% at baseline and decreased to 23.1, 36.5, and 12.3%, respectively, 6 years later. Unadjusted prevalences in participants with any geriatric syndrome (frailty, co-morbidity, functional, or cognitive impairment) were approximately twice as high as in robust older adults. In multivariable analyses, cognitive impairment was statistically significantly associated with the use of PIM of all three criteria in the cross-sectional (odds ratio (OR) point estimates 1.90–2.21) but not in the longitudinal models. In contrast, frailty, co-morbidity, and functional impairment were statistically significantly associated with the use of PIM of at least one of the three criteria in both models. However, the associations varied for the PIM criteria, and in the longitudinal analysis, associations were only statistically significant for Beers PIM (ORs [95% confidence intervals]: frailty (2.23 [1.15, 4.31]), co-morbidity by five total co-morbidity score points (1.21 [1.05, 1.38]), and functional impairment (1.51 [1.00, 2.27]). Other statistically significant determinants of the incidence of PIM (any definition) were female sex, age, coronary heart disease, heart failure, biomarkers of the metabolic syndrome, and history of ulcer, depressive episodes, hip fracture, or any cancer.

Conclusions

Older adults with frailty, co-morbidity, cognitive, and functional impairment had higher odds of taking PIM or getting a PIM prescription in the future (exception: cognitive impairment). Physicians should be especially cautious when prescribing drugs for these patients who are particularly susceptible to adverse reactions.

Keywords

Potentially inappropriate medication Determinants Prevalence Longitudinal analysis Frailty Cognitive impairment 

Notes

Author contributions

D.C.M. and B.S. designed the research; W.E.H. and H.B. developed the study and supervised the data collection; D.C.M. analyzed the data and drafted the manuscript, B.S. revised it; L.K.H., C.S., W.E.H., and H.B. contributed important intellectual content to the discussion. All authors were involved in the interpretation and discussion of results.

Funding

The ESTHER study is supported by the Federal Ministry of Education and Research (Berlin, Germany) (grant numbers 01ET0717 and 01GY1320A) and the Saarland Ministry for Social Affairs, Health, Women, and Family Affairs.

Compliance with ethical standards

The ESTHER study has been approved by the responsible ethics committees of the Medical Faculty of the University of Heidelberg and of the Medical Association of Saarland and is being conducted in accordance with the 1964 Helsinki declaration and its later amendments. Written informed consent was obtained from all individual participants included in the study.

Conflict of interest

All authors declare that they have no conflict of interest.

Supplementary material

228_2018_2534_MOESM1_ESM.docx (2.4 mb)
ESM 1 (DOCX 2.35 MB)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Division of Clinical Epidemiology and Aging Research, German Cancer Research CenterHeidelbergGermany
  2. 2.Network Aging ResearchUniversity of HeidelbergHeidelbergGermany
  3. 3.Department of Clinical Pharmacology and PharmacoepidemiologyHeidelberg University HospitalHeidelbergGermany

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