The PREVENTION Trial: Precision Recommendations to Optimize Neurocognition

The PREVENTION Trial: Precision Recommendations to Optimize Neurocognition

Publication date: Sep 09, 2019

The PREVENTION Trial is a 12-month, two-arm randomized clinical trial (RCT) in adults 50-80 years old experiencing cognitive decline. Our study clinicians will refer patients for enrollment based on three categories: 1) a diagnosis of mild AD according to criteria established by the National Institute of Neurological and Communicative Disorders and Stroke (AD and Related Disorders Association [NINCDS-ADRDA]), 2) those with mild cognitive impairment will be diagnosed according to the Petersen method, and 3) subjective memory impairment as assessed by neuropsychological assessments and self-report. Enrollment will require evidence of AD pathophysiological processes (as defined by a positive amyloid positron emission tomography (PET) scan). The first objective is to evaluate the efficacy of a coached, data-driven, multi-modal lifestyle intervention to treat cognitive decline. Subjects will be randomized into one of two groups: Group 1 (Active Control) or Group 2 (Intervention). Group 1 (Data-driven clinical recommendations (CR)) will serve as the active control group and will receive data-driven clinical recommendations by a study physician based on study assessments and clinical lab values. Group 2 (Data-driven multi-modal intervention with coaching (MMIC)) will receive the same clinical recommendations and also an intensive multi-modal intervention with health coaching, support and resources to carry out these recommendations. This includes health coaching sessions (with an RDN), dietary counseling sessions (with an RDN), and group cognitive and physical exercise classes (CogFit) with a certified personal trainer and a computer-based neurocognitive program at home. Both groups will be measured for treatment related changes in cognitive and functional abilities, quality of life, biological, and biochemical measures. The second objective is to analyze longitudinal multi-omic data, including metabolomics, proteomics, genetics, microbiome, behavior and cognition into personalized, dense, dynamic data (i.e. PD3) from individuals with cognitive decline and underlying Alzheimer’s neuropathology. The goal analysis is to identify models of causation that can further advance knowledge and research in neurodegenerative disorders and healthy living.

Concepts Keywords
Alzheimer Healthcare
Amyloid Counseling
Attorney Health
Biochemical Articles
Caregiver Cognitive disorders
Causation Psychiatric diagnosis
Cognition Learning disabilities
Cognitive Clinical research
Cognitive Impairment Psychiatry
Cognitive Training RTT
Color Vision Alzheimer’s disease
Control Group Clinical trial
Counseling Mild cognitive impairment
Dementia Dementia
Gender Cellular telephone
Genetics Proteomics
Healthcare Tomography
Informant Metabolomics
Informed Consent
IPad
John Wayne
Lewy Body Dementia
Memory
Metabolomics
Microbiome
Mild Cognitive Impairment
Mini
Mobile Phone
Modal
Mutation
Neurocognitive
Neurodegenerative Disorder
Neurodegenerative Disorders
Neurological
Neuropathology
Neuropsychological
Pathophysiological
PET Scan
Physical Exercise
Physician
Positron Emission Tomography
Presenilin
Proteomics
Providence
Randomized Clinical Trial
Saint John
Santa Monica
Telephone
Test
Trainer
Visual Acuity

Semantics

Type Source Name
disease MESH cognitive decline
disease MESH diagnosis
disease MESH Communicative Disorders
disease MESH Stroke
disease DOID Stroke
disease MESH multi
drug DRUGBANK Sulpiride
disease MESH lifestyle
gene UNIPROT LAT2
disease MESH neurodegenerative disorders
disease MESH visual
drug DRUGBANK Etoperidone
disease MESH Lewy Body Dementia
disease DOID Lewy Body Dementia
disease MESH Dementia
disease DOID Dementia
disease MESH cerebrovascular disease
gene UNIPROT APP
gene UNIPROT RUNX1T1
gene UNIPROT AKR1C4
disease MESH Alzheimer Disease
disease DOID Alzheimer Disease
disease MESH Cancer
disease DOID Cancer

Original Article

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