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Low-Income Older Adults' Vulnerability to Anticholinergic Medication-Associated Frailty.

Authors :
Sargent L
Zimmerman KM
Mohammed A
Barrett MJ
Nawaz H
Wyman-Chick K
Mackiewicz M
Roman Y
Slattum P
Russell S
Dixon DL
Lageman SK
Hobgood S
Thacker LR
Price ET
Source :
Drugs & aging [Drugs Aging] 2023 Dec; Vol. 40 (12), pp. 1123-1131. Date of Electronic Publication: 2023 Oct 19.
Publication Year :
2023

Abstract

Background: A growing body of research supports the negative impact of anticholinergic drug burden on physical frailty. However, prior research has been limited to homogeneous white European populations, and few studies have evaluated how anticholinergic burden tools compare in their measurement function and reliability with minority community-dwelling adult populations. This study investigated the association between anticholinergic drug exposure and frailty by conducting a sensitivity analysis using multiple anticholinergic burden tools in a diverse cohort.<br />Methods: A comprehensive psychometric approach was used to assess the performance of five clinical Anticholinergic Burden Tools: Anticholinergic Cognitive Burden Scale (ACB), Anticholinergic Drug Scale (ADS), average daily dose, total standardized daily doses (TSDD), and Cumulative Anticholinergic Burden scale (CAB). Spearman correlation matrix and intraclass correlation coefficients (ICC) were used to determine the association among the variables. Ordinal logistic regression is used to evaluate the anticholinergic burden measured by each scale to determine the prediction of frailty. Model performance is determined by the area under the curve (AUC).<br />Results: The cohort included 80 individuals (mean age 69 years; 55.7% female, 71% African American). All anticholinergic burden tools were highly correlated (p < 0.001), ICC3 0.66 (p < 0.001, 95% confidence interval (CI) 0.53-0.73). Among individuals prescribed anticholinergics, 33% were robust, 44% were prefrail, and 23% were frail. All five tools predicted prefrail and frail status (p < 0.05) with low model misclassification rates for frail individuals (AUC range 0.78-0.85).<br />Conclusion: Anticholinergic burden tools evaluated in this cohort of low-income African American older adults were highly correlated and predicted prefrail and frail status. Findings indicate that clinicians can select the appropriate instrument for the clinic setting and research question while maintaining confidence that all five tools will produce reliable results. Future anticholinergic research is needed to unravel the association between interventions such as deprescribing on incident frailty in longitudinal data.<br /> (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Details

Language :
English
ISSN :
1179-1969
Volume :
40
Issue :
12
Database :
MEDLINE
Journal :
Drugs & aging
Publication Type :
Academic Journal
Accession number :
37856064
Full Text :
https://doi.org/10.1007/s40266-023-01069-7