Sedative and Anticholinergic Burden as Predictors of Delirium in Hospitalized Older Adults

Abstract Delirium is a prevalent yet underdiagnosed acute cognitive disorder among hospitalized older adults, contributing to prolonged hospital stays, increased morbidity, and higher mortality rates. While medications with sedative and anticholinergic properties are known risk factors, their cumulative impact and potential as early indicators for delirium remain unclear. This study aims to assess whether sedative burden, anticholinergic burden, and polypharmacy can predict delirium in hospitalized older patients and serve as a trigger for early intervention. A retrospective cohort analysis was conducted on 260 patients (aged 65+) from three internal medicine wards. Patients were categorized based on delirium status (positive: n = 150, negative: n = 110) using RADAR and MOTYB screening tools. Sedative and anticholinergic medication burden was quantified using the Drug Burden Index (DBI), based on medication data from the first hospitalization day. Covariates included age, gender, illness severity (NEWS), comorbidities (Charlson Index), polypharmacy (≥5 medications), and physical status (Norton Scale). Logistic regression examined associations between medications burdens at admission and delirium risk. Results showed that patients screening positive for delirium had significantly higher sedative burden (OR = 2.93 CI [1.42-6.06], p=.004), while no significant differences were observed in anticholinergic burden. Physical status protected from (OR = 0.59 CI [0.51-0.69], p=.000) while polypharmacy (OR 3.63 CI [1.34-9.83], p = 0.011) and older age (OR = 1.12 CI [1.063-1.18], p=.000) significantly predicted delirium. These findings emphasize the need for systematic medication review upon hospital admission, with a focus on minimizing sedative load to mitigate delirium risk. Integrating delirium screening with pharmacological assessments may enhance early identification and intervention strategies, ultimately improving patient outcomes.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.2322
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
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article

Sedative and Anticholinergic Burden as Predictors of Delirium in Hospitalized Older Adults

Ron Oliven, Hadas Shachaf, Rabab Awad, Rami Klayn et al.
Innovation in Aging
Intensive Care Unit Cognitive Disorders
article

Sedative and Anticholinergic Burden as Predictors of Delirium in Hospitalized Older Adults

Ron Oliven, Hadas Shachaf, Rabab Awad, Rami Klayn, Anna Zisberg, Juliana Smichenko
article en

Abstract

Abstract Delirium is a prevalent yet underdiagnosed acute cognitive disorder among hospitalized older adults, contributing to prolonged hospital stays, increased morbidity, and higher mortality rates. While medications with sedative and anticholinergic properties are known risk factors, their cumulative impact and potential as early indicators for delirium remain unclear. This study aims to assess whether sedative burden, anticholinergic burden, and polypharmacy can predict delirium in hospitalized older patients and serve as a trigger for early intervention. A retrospective cohort analysis was conducted on 260 patients (aged 65+) from three internal medicine wards. Patients were categorized based on delirium status (positive: n = 150, negative: n = 110) using RADAR and MOTYB screening tools. Sedative and anticholinergic medication burden was quantified using the Drug Burden Index (DBI), based on medication data from the first hospitalization day. Covariates included age, gender, illness severity (NEWS), comorbidities (Charlson Index), polypharmacy (≥5 medications), and physical status (Norton Scale). Logistic regression examined associations between medications burdens at admission and delirium risk. Results showed that patients screening positive for delirium had significantly higher sedative burden (OR = 2.93 CI [1.42-6.06], p=.004), while no significant differences were observed in anticholinergic burden. Physical status protected from (OR = 0.59 CI [0.51-0.69], p=.000) while polypharmacy (OR 3.63 CI [1.34-9.83], p = 0.011) and older age (OR = 1.12 CI [1.063-1.18], p=.000) significantly predicted delirium. These findings emphasize the need for systematic medication review upon hospital admission, with a focus on minimizing sedative load to mitigate delirium risk. Integrating delirium screening with pharmacological assessments may enhance early identification and intervention strategies, ultimately improving patient outcomes.

Innovation in AgingVol. 9(Supplement_2)
Bnai Zion Medical Center (IL), University of Haifa (IL)
Good health and well-being
Openalex Percentile: Top 30%
Intensive Care Unit Cognitive Disorders
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