Dementia Clinical Trial
— MarkVCIDOfficial title:
Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia Consortium
NCT number | NCT06284213 |
Other study ID # | 5U24NS100591 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | September 29, 2021 |
Est. completion date | July 2027 |
Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID) is an NIH-funded consortium dedicated to finding biomarkers involved in age-related thinking and memory problems. Alzheimer's disease and other dementias leave signatures on brain scans or in the blood called biomarkers. The MarkVCID study will measure a panel of candidate biomarkers in 1800 participants and watch them closely to see what they tell us about changes in brain function and risk of memory loss. Age-related problems in thinking and memory represent some of the greatest risks to public health in the US and globally. Diseases that affect small blood vessels in the brain have been shown to be major contributors to these changes. However, research and patient care can be held back by limited biomarkers that identify who should be treated. The MarkVCID Consortium includes 17 US medical centers, a Coordinating Center, an External Advisory Committee, and NIH leadership. Data and biospecimens collected as part of this research study will be stored in a research database and biorepositories, so that researchers can use this information to study brain function.
Status | Recruiting |
Enrollment | 1800 |
Est. completion date | July 2027 |
Est. primary completion date | July 2027 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 60 Years to 90 Years |
Eligibility | Inclusion Criteria: - Age = 60 and = 90 years - Diagnosis of normal cognition with at least one criterion for vascular risk*, subjective cognitive decline (preliminary diagnosis based on self-report question or eCog-12), mild cognitive impairment, or mild dementia based on standard research criteria - Fluent in English or Spanish - No contraindications to MRI including CVR - No confounding neurologic, psychiatric, or medical disease *Participants with normal cognition must meet at least one criterion (diabetes, OR hypertension plus, OR MRI factors) for vascular risk prior to enrollment: - Diabetes (at least one of the following): - Fasting (8-hour fast, usually overnight) blood sugar =126 mg/dL (=7 mmol/L, or =1260 mg/L) - Random or Post-prandial blood sugar =200 mg/dL (=11.11 mmol/L, or =2000 mg/L) - HbA1C =6.5% (or =47.5412 mmol/mol) - Treatment with an anti-diabetic medicine - Hypertension plus (at least two of the following): - Use of anti-hypertensive medications for lowering blood pressure for = 10 years - Current use of two or more anti-hypertensive medications for lowering blood pressure - One measured blood pressure in a research or clinical setting in the last 2 years with SBP =140 or DBP =90 - A second measured blood pressure in a research or clinical setting on a different date in the last 2 years with SBP =140 or DBP =90 - Evidence of likely HTN end-organ damage (e.g., LVH, albuminuria, eGFR<60, CHF) - MRI factors (at least one of the following): - Peri-Ventricular Fazekas Extent Grade or Deep Fazekas Extent Grade = 2 - 1 or more microbleeds - 1 or more lacunar infarcts Exclusion Criteria: - Neurologic Disease: Based on the available data and investigator's impression, exclude those with confounding neurologic disease that would interfere with test performance or with biomarker analysis: - Frontotemporal lobar degeneration (FTLD) - Lewy body dementia (LBD) - Parkinson's disease - Multi system atrophy - Traumatic brain injury (TBI)-related cognitive impairment - TBI that interferes with MRI biomarker analyses (e.g., large volume traumatic lesion) - Non-small vessel strokes that interfere with test performance (e.g., post-stroke cognitive impairment or aphasia) - Non-small vessel strokes that interfere with MRI biomarker analysis (e.g., large volume strokes) - CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy) - Individuals known to be receiving, or planning to receive, anti-amyloid immunotherapy* - Other neurologic conditions that interfere with test performance or biomarker analysis - Individuals prescribed anti-amyloid immunotherapy after MarkVCID enrollment should be kept in the study. - Medical and Psychiatric Conditions: Exclude those with medical and psychiatric conditions that would confound the course or interfere with test performance: - Schizophrenia or other active/severe psychotic disorders - Medical or psychiatric conditions likely to interfere with participation or retention (e.g., metastatic or malignant CNS cancer, active/severe depression or anxiety, HIV- Associated Neurocognitive Disorder) - Contraindications to MRI procedures, such as: - Claustrophobia - Cardiac pacemaker - Intracranial clips/metal implants - Contraindications to CVR: - COPD or other respiratory condition requiring oxygen therapy - Asthma or other respiratory condition requiring current use of medications such as inhalers |
Country | Name | City | State |
---|---|---|---|
United States | University of New Mexico | Albuquerque | New Mexico |
United States | Johns Hopkins University | Baltimore | Maryland |
United States | University of Maryland, Baltimore | Baltimore | Maryland |
United States | Rush University Medical Center & Illinois Institute of Technology | Chicago | Illinois |
United States | University of Texas Southwestern | Dallas | Texas |
United States | University of Texas Health Science Center Houston | Houston | Texas |
United States | University of Mississippi Medical Center | Jackson | Mississippi |
United States | Mayo Clinic Florida | Jacksonville | Florida |
United States | University of Kentucky | Lexington | Kentucky |
United States | University of California Los Angeles | Los Angeles | California |
United States | University of Southern California | Los Angeles | California |
United States | Mayo Clinic Rochester | Rochester | Minnesota |
United States | University of California Davis | Sacramento | California |
United States | Washington University in St. Louis | Saint Louis | Missouri |
United States | University of Texas Health Science Center San Antonio | San Antonio | Texas |
United States | University of California San Francisco | San Francisco | California |
United States | Olive View - UCLA Medical Center | Sylmar | California |
Lead Sponsor | Collaborator |
---|---|
Massachusetts General Hospital | Duke University, Johns Hopkins University, Mayo Clinic, Olive View-UCLA Education & Research Institute, Rush University Medical Center, The University of Texas Health Science Center at San Antonio, The University of Texas Health Science Center, Houston, University of California, Davis, University of California, Los Angeles, University of California, San Francisco, University of Kentucky, University of Maryland, Baltimore, University of Mississippi Medical Center, University of New Mexico, University of Southern California, University of Texas, Washington University School of Medicine |
United States,
Besser L, Kukull W, Knopman DS, Chui H, Galasko D, Weintraub S, Jicha G, Carlsson C, Burns J, Quinn J, Sweet RA, Rascovsky K, Teylan M, Beekly D, Thomas G, Bollenbeck M, Monsell S, Mock C, Zhou XH, Thomas N, Robichaud E, Dean M, Hubbard J, Jacka M, Schwabe-Fry K, Wu J, Phelps C, Morris JC; Neuropsychology Work Group, Directors, and Clinical Core leaders of the National Institute on Aging-funded US Alzheimer's Disease Centers. Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord. 2018 Oct-Dec;32(4):351-358. doi: 10.1097/WAD.0000000000000279. — View Citation
Staffaroni AM, Asken BM, Casaletto KB, Fonseca C, You M, Rosen HJ, Boxer AL, Elahi FM, Kornak J, Mungas D, Kramer JH. Development and validation of the Uniform Data Set (v3.0) executive function composite score (UDS3-EF). Alzheimers Dement. 2021 Apr;17(4):574-583. doi: 10.1002/alz.12214. Epub 2020 Nov 20. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | SVD progression as measured by decline in global cognition | Global cognition scores will be calculated at each study timepoint as an average of age- and education-specific z-scores, based on tests scores from the MarkVCID2 cognitive battery (MoCA, Neuropsychological Testing Battery, Clinical Dementia Rating), which is based on Version 3 of the National Alzheimer's Coordinating Center's (NACC) Uniform Data Set (UDS) (Besser 2018). | The cognitive battery is implemented, and global cognition calculated, at Baseline and Years 1, 2 and 3 post-baseline. | |
Secondary | SVD progression as measured by decline in executive function | The measure of executive function is the Uniform Data Set (v3.0) executive function composite score (UDS3-EF) developed by Staffaroni et al (2021). The UDS3-EF is calculated from the following tests: Category Fluency - Animals; Verbal Fluency - Phonemic Tests (words beginning with F); Number Span Test (Backward); and Trail Making Tests A and B. | The cognitive battery is implemented, and executive function calculated, at Baseline and Years 1, 2 and 3 post-baseline. |
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