4.5 Article

Depression in Mild Cognitive Impairment is associated with Progression to Alzheimer's Disease: A Longitudinal Study

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 42, Issue 4, Pages 1239-1250

Publisher

IOS PRESS
DOI: 10.3233/JAD-140405

Keywords

Alzheimer's disease; association; BPSD; Cox proportional hazard; dementia; depression; depressive symptoms; mild cognitive impairment; predictor; prognostic value

Categories

Funding

  1. University Research Fund of the University of Antwerp
  2. Foundation for Alzheimer Research (SAO-FRA)
  3. Institute Born-Bunge
  4. Lundbeck NV (Belgium)
  5. University of Antwerp
  6. central Biobank facility of the Institute Born-Bunge/University Antwerp
  7. Neurosearch Antwerp
  8. Thomas Riellaerts Research Fund
  9. Research Foundation - Flanders (FWO-Vlaanderen)
  10. Agency for Innovation by Science and Technology (IWT)
  11. Interuniversity Attraction Poles (IAP) program of the Belgian Science Policy Office [P7/16]
  12. Flemish Government, Belgium
  13. Medical Research Foundation Antwerp
  14. EU/EFPIA Innovative Medicines Initiative Joint Undertaking (EMIF grant) [115372]

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Background: Behavioral and psychological signs and symptoms of dementia (BPSD) belong to the core symptoms of dementia and are also common in mild cognitive impairment (MCI). Objective: This study would like to contribute to the understanding of the prognostic role of BPSD in MCI for the progression to dementia due to Alzheimer's disease (AD). Methods: Data were generated through an ongoing prospective longitudinal study on BPSD. Assessment was performed by means of the Middelheim Frontality Score, Behave-AD, Cohen-Mansfield Agitation Inventory, Cornell Scale for Depression in Dementia (CSDD), and Geriatric Depression Scale 30-questions (GDS-30). Cox proportional hazard models were used to test the hypothesis that certain BPSD in MCI are predictors of developing AD. Results: The study population consisted of 183 MCI patients at baseline. At follow-up, 74 patients were stable and 109 patients progressed to AD. The presence of significant depressive symptoms in MCI as measured by the CSDD (HR: 2.06; 95% CI: 1.23-3.44; p = 0.011) and the GDS-30 (HR: 1.77; 95% CI: 1.10-2.85; p = 0.025) were associated with progression to AD. The severity of depressive symptoms as measured by the GDS-30 was a predictor for progression too (HR: 1.06; 95% CI: 1.01-1.11; p = 0.020). Furthermore, the severity of agitated behavior, especially verbal agitation and the presence of purposeless activity, was also associated with progression, whereas diurnal rhythm disturbances were associated with no progression to AD. Conclusion: Depressive symptoms in MCI appear to be predictors for progression to AD.

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