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Cited by 158

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The Risk of Anticholinergic Toxicity in the Elderly: a Study of Prescribing Practices in Two Populations

Blazer, D. G., Federspiel, C. F., Ray, W. A., Schaffner, W.·1983·Journal of Gerontology

Abstract

The potential for anticholinergic toxicity due to concurrent use of medications was assessed among 5,902 continuous nursing home residents and a comparable group of ambulatory patients. During the study year nearly 60% of the nursing home residents and 23% of the ambulatory patients received drugs with anticholinergic properties. Based on recommended doses of the drugs, 565 of the nursing home patients and 413 of the ambulatory patients could have received three or more anticholinergic medications concurrently. An examination of nursing home patients receiving the most frequently prescribed antipsychotic and tricyclic antidepressant drugs concurrently revealed that physicians did not choose drugs selectively within the two classes in order to minimize the potential for anticholinergic toxicity. The findings of this study suggest that the risk of anticholinergic toxicity may be underestimated by physicians.

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Metadata

Authors
Blazer, D. G., Federspiel, C. F., Ray, W. A., & Schaffner, W.
Venue
Journal of Gerontology
Published
1983-01-01
Volume
38
Issue
1
Pages
31-35
ISSN
0022-1422 (ISSN-L)
OpenAlex
W1992441019
Cited by
158
References
0
FWCI
4.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Risk of Anticholinergic Toxicity in the Elderly: a Study of Prescribing Practices in Two Populations. https://app.cochat.ai/papers/10.1093/geronj/38.1.31
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Blazer, D. G., Federspiel, C. F., Ray, W. A., & Schaffner, W. (1983). The Risk of Anticholinergic Toxicity in the Elderly: a Study of Prescribing Practices in Two Populations. Journal of Gerontology. https://doi.org/10.1093/geronj/38.1.31

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.