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Executive Function Predicts Antidepressant Treatment Noncompletion in Late-Life Depression
Pilar Cristancho1,2, Eric J Lenze2, David Dixon2
1Department of Psychiatry, Healthy Mind Laboratory, School of Medicine, Washington University in St Louis, Campus Box 8134, 660 S. Euclid Ave, St Louis, MO 63110. cristanp@psychiatry.wustl.edu.
The Journal of Clinical Psychiatry
|April 17, 2018
Summary
Poorer executive function (EF) in older adults with depression predicted failure to complete antidepressant treatment. Identifying individuals with low EF can help tailor interventions for better treatment adherence and outcomes.
Area of Science:
- Geriatric psychiatry
- Neuropsychology
- Clinical pharmacology
Background:
- Depression in older adults is a significant public health concern.
- Antidepressant pharmacotherapy is a common treatment, but adherence and completion rates can be low in this population.
- Executive function (EF) plays a crucial role in daily functioning and treatment engagement.
Purpose of the Study:
- To investigate the association between baseline executive function (EF) and nonremission or noncompletion of antidepressant pharmacotherapy in older adults with depression.
- To identify specific EF domains that predict treatment outcomes.
- To explore the role of treatment-related factors like side effects and nonadherence.
Main Methods:
- Prospective study of 468 older adults (≥ 60 years) with major depressive episode treated with venlafaxine extended release for 12 weeks.
- Baseline executive function was assessed using the Delis-Kaplan Executive Function System and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS).
- Primary outcomes included treatment nonremission and noncompletion; secondary outcomes included treatment-related factors.
Main Results:
- 21% of participants did not complete the treatment trial.
- Poorer performance in specific executive functions (set-shifting, semantic fluency) and other cognitive domains (attention, memory, visuospatial ability, global cognition) predicted treatment noncompletion.
- Multivariate analysis identified semantic fluency, comorbid medical burden, and early nonadherence as significant predictors of noncompletion.
Conclusions:
- Impaired executive function, particularly semantic fluency, is associated with a higher likelihood of treatment noncompletion in older adults with depression.
- These findings suggest that EF deficits may hinder engagement and sustained participation in pharmacotherapy.
- Identifying individuals at risk for noncompletion based on EF can inform personalized care strategies to improve treatment adherence and outcomes.
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