Neurocognitive Outcomes of Depression in the Elderly (NCODE)
|The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.|
|ClinicalTrials.gov Identifier: NCT00570583|
Recruitment Status : Completed
First Posted : December 11, 2007
Last Update Posted : August 5, 2020
Late-life depression (LLD) and cognitive impairment (CI) are significant public health problems among older adults, and their co-occurrence markedly increases disease burden and dementia risk. This highlights the importance of identifying and treating CI in LDD; however, current lack of reliable prognostic information from clinical, neuroimaging, and genetic data impedes research on targeted prevention and treatment. Two critical ways to close current knowledge gaps in predicting cognitive diagnostic outcomes of LLD involve: 1) increasing the number of diagnostic cases available to existing studies, and 2) using those studies to identify clinical, imaging, and genetic predictors that will improve future diagnosis. We intend to do both in the current proposal. We plan to study the following SPECIFIC AIMS:
Aim 1: Identify baseline clinical-behavioral predictors of cognitive diagnostic outcomes in LLD.
Working hypothesis: During acute LLD, CN will be associated with more frequent EOD and higher negative life stress than PCI and AD; PCI will be associated with EOD and higher frailty than CN and AD; AD will be associated with LOD, greater appetite loss, lower anxiety, and greater memory impairment than CN and PCI.
Aim 2: Use multimodal neuroimaging at baseline to identify patterns associated with cognitive diagnostic outcomes in individuals with LLD. Working Hypothesis: CN will be associated with greater white matter integrity compared with PCI and AD; PCI will be associated with lower white matter integrity and network abnormalities in anterior cingulate cortex compared with CN; AD will be associated with lower hippocampal volume compared with CN and PCI.
Aim 3: (exploratory): Explore interrelationships among candidate genes, cognitive diagnostic outcomes, and proposed phenotypic components relevant to LLD. Exploratory Hypotheses: 1) COMT val158met polymorphism will be associated with CN; 2) 5-HTTPRL and APOE ε2 polymorphisms will be associated with frailty; 3) genetic variation (SNPs) in TPH2 and AGTR1 will be associated with risk factors of AD: LOD, episodic memory, hippocampal volume, and appetite loss.
|Condition or disease|
|Major Depression Dementia|
Central hypothesis: the 5-year likelihood of each cognitive diagnostic outcome is associated with distinct clinical, cognitive, and neural phenotypes during acute LLD, which in turn have distinct genotypic correlates.
Specifically, CN individuals will have earlier first onset of depression (EOD) relative to AD, more negative life stress during acute depression compared with AD and PCI, and greater white matter integrity; CN will also be associated with the AA genotype of the COMT val158met polymorphism, which may confer both neuroprotection and higher stress sensitivity. PCI will have more EOD relative to AD, greater frailty, and lower white matter integrity than NC. AD will be associated with later age of depression onset (LOD), greater appetite loss, lower anxiety, smaller hippocampal volume, and greater memory impairment. To test these hypotheses, we propose the following
|Study Type :||Observational|
|Actual Enrollment :||795 participants|
|Official Title:||Clinical Studies of Mental Illness Not Involving Treatment Development, Efficacy, or Effectiveness Trials Phenotype-genotype Predictors of Cognitive Outcomes in Geriatric Depression|
|Study Start Date :||December 1995|
|Actual Primary Completion Date :||December 31, 2019|
|Actual Study Completion Date :||December 31, 2019|
Older individuals with major depression
Older individuals without psychiatric disorder
- Change in Depression status (measured by Montgomery Asberg Depression Rating Scale) [ Time Frame: Minimum of once per year, up to 21 years ]
- Change in Cognitive impairment (as measuring using cognitive tests including those found in the CERAD battery) [ Time Frame: Once per year, up to 21 years ]
- Development of dementia (Determined by Clinical Consensus Conference) [ Time Frame: once per year, up to 14 years ]
- Change in Cognition (as measured by tests including those in the CERAD battery) Change in Brain MRI markers (e.g., volume of white matter and gray matter lesions) [ Time Frame: once per year, up to 21 years ]
- Change in Impairment in Instrumental or Basic Activities of Daily Living [ Time Frame: at least once per year, up to 21 years ]
- Packing density of prefrontal cortex neurons with pyramidal morphology in post-mortem neuroanatomical studies [ Time Frame: once post-mortem ]
Biospecimen Retention: Samples With DNA
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00570583
|United States, North Carolina|
|Duke University Medical Center|
|Durham, North Carolina, United States, 27710|
|Principal Investigator:||Guy G Potter, PhD||Duke University|