Neurocognitive Outcomes of Depression in the Elderly
Public ClinicalTrials.gov record NCT00570583. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
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Official title
Clinical Studies of Mental Illness Not Involving Treatment Development, Efficacy, or Effectiveness Trials Phenotype-genotype Predictors of Cognitive Outcomes in Geriatric Depression
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
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.
Study identification
- NCT ID
- NCT00570583
- Recruitment status
- Completed
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 795 participants
Conditions and interventions
Conditions
Interventions
Not listed
Eligibility (public fields only)
- Age range
- 60 Years and older
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Nov 30, 1995
- Primary completion
- Dec 30, 2019
- Completion
- Dec 30, 2019
- Last update posted
- Aug 4, 2020
1995 – 2019
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Duke University Medical Center | Durham | North Carolina | 27710 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT00570583, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Aug 4, 2020 · Synced Sep 5, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT00570583 live on ClinicalTrials.gov.