Potential Targets for Deprescribing in Medically Complex Older Adults with Suspected Cognitive Impairment.
Date
2022-05
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Attention Stats
Abstract
Deprescribing may be particularly beneficial in patients with medical complexity and suspected cognitive impairment (CI). We describe central nervous system (CNS) medication use and side effects in this population and explore the relationship between anticholinergic burden and sleep. We conducted a cross-sectional analysis of baseline data from a pilot randomized-controlled trial in older adult veterans with medical complexity (Care Assessment Need score > 90), and suspected CI (Telephone Interview for Cognitive Status score 20−31). CNS medication classes included antipsychotics, benzodiazepines, H2-receptor antagonists, hypnotics, opioids, and skeletal muscle relaxants. We also coded anticholinergic-active medications according to their Anticholinergic Cognitive Burden (ACB) score. Other measures included self-reported medication side effects and the Pittsburgh Sleep Quality Index (PSQI). ACB association with sleep (PSQI) was examined using adjusted linear regression. In this sample (N = 40), the mean number of prescribed CNS medications was 2.2 (SD 1.5), 65% experienced ≥ 1 side effect, and 50% had an ACB score ≥ 3 (high anticholinergic exposure). The ACB score ≥ 3 compared to ACB < 3 was not significantly associated with PSQI scores (avg diff in score = −0.1, 95% CI −2.1, 1.8). Although results did not demonstrate a clear relationship with worsened sleep, significant side effects and anticholinergic burden support the deprescribing need in this population.
Type
Department
Description
Provenance
Subjects
Citation
Permalink
Published Version (Please cite this version)
Publication Info
Pavon, Juliessa M, Theodore SZ Berkowitz, Valerie A Smith, Jaime M Hughes, Anna Hung and Susan N Hastings (2022). Potential Targets for Deprescribing in Medically Complex Older Adults with Suspected Cognitive Impairment. Geriatrics (Basel, Switzerland), 7(3). p. 59. 10.3390/geriatrics7030059 Retrieved from https://hdl.handle.net/10161/27517.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Collections
Scholars@Duke

Juliessa Pavon

Valerie A. Smith
Valerie A. Smith, DrPH, is a Professor in the Duke University Department of Population Health Sciences. Her methodological research interests include methods for semicontinuous and zero-inflated data, cost and utilization modeling, causal inference methods, observational study design, and longitudinal data analysis.
Dr. Smith works largely in collaboration with a multidisciplinary team of researchers, with a focus on health policy interventions, health care utilization and expenditure patterns, program and policy evaluation, bariatric surgery and obesity treatment evaluation, aging, and caregiving.
Areas of expertise: Biostatistics, Health Services Research, Health Economics, and Health Policy

Anna Hung
Anna Hung, PharmD, PhD, MS is a pharmacist and health services researcher interested in payer and patient decision making related to pharmacy benefits. Previously, she collaborated with the Defense Health Agency to evaluate the budgetary impact of their antidiabetic drug formulary changes. She has also worked with a variety of managed care organizations to assess their drug utilization and clinical management programs. Her methodological research interests include health care cost evaluations, quasi-experimental study designs, and stated preference research.
Dr. Hung received her Doctor of Pharmacy, Master of Science, and Doctor of Philosophy from the University of Maryland. Her PhD is in pharmaceutical health services research, with concentrations in pharmacoeconomics, comparative effectiveness research, and patient-centered outcomes research. Prior to joining the Department of Population Health Sciences, she completed a post-doctoral fellowship at the Duke Clinical Research Institute and served as Co-Chief Fellow.

Susan Nicole Hastings
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.