Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression

While achieving remission is the goal of acute antidepressant treatment, recurrence of new depressive episodes following remission is unfortunately common in clinical populations with Major Depressive Disorder, including older adults with Late-Life Depression (LLD). The neurobiological factors underlying this risk are poorly understood, limiting our ability to identify potential preventive mechanistic targets. Beyond the limited prognostic utility achieved from individual psychiatric history, it remains challenging to clinically stratify individual risk. This review examines factors influencing the recurrence of depressive episodes following remission in LLD, focusing on cognitive, behavioral, social, and environmental aspects. It additionally considers neuroimaging-based biomarkers related to recurrence risk as well as discussing evidence for and limits of maintenance treatment to prevent recurrence. The paper proposes possible mechanisms contributing to recurrence, including physiological and behavioral responses to stressors, the influence of Alzheimer's disease neuropathology, and conceptualizing repeat depressive episodes within the accelerated aging hypothesis of LLD. A dynamical landscape model of depression recurrence is proposed to elucidate the interplay between different mood states, resilience, and treatment response. This synthesis then highlights avenues for future research, focusing on areas of potential significance ranging from risk stratification to tertiary prevention efforts that may improve both long-term affective and cognitive symptoms.

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Publication Details

Journal
Neuropsychopharmacology
Published
2026-01-13
DOI
https://doi.org/10.1038/s41386-026-02324-2
Citations
1
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
32.57
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Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression

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1 citations
Neuropsychopharmacology
Treatment of Major Depression
32.57
article

Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression

Andrew Gerlach, Sarah M. Szymkowicz, Carmen Andreescu, Swathi Gujral, Warren D. Taylor
article en
1 citations

Abstract

While achieving remission is the goal of acute antidepressant treatment, recurrence of new depressive episodes following remission is unfortunately common in clinical populations with Major Depressive Disorder, including older adults with Late-Life Depression (LLD). The neurobiological factors underlying this risk are poorly understood, limiting our ability to identify potential preventive mechanistic targets. Beyond the limited prognostic utility achieved from individual psychiatric history, it remains challenging to clinically stratify individual risk. This review examines factors influencing the recurrence of depressive episodes following remission in LLD, focusing on cognitive, behavioral, social, and environmental aspects. It additionally considers neuroimaging-based biomarkers related to recurrence risk as well as discussing evidence for and limits of maintenance treatment to prevent recurrence. The paper proposes possible mechanisms contributing to recurrence, including physiological and behavioral responses to stressors, the influence of Alzheimer's disease neuropathology, and conceptualizing repeat depressive episodes within the accelerated aging hypothesis of LLD. A dynamical landscape model of depression recurrence is proposed to elucidate the interplay between different mood states, resilience, and treatment response. This synthesis then highlights avenues for future research, focusing on areas of potential significance ranging from risk stratification to tertiary prevention efforts that may improve both long-term affective and cognitive symptoms.

Neuropsychopharmacology
University of North Carolina at Chapel Hill (US), University of Pittsburgh (US), VA Tennessee Valley Healthcare System (US), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 2%
Treatment of Major Depression
32.57
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