SmART-TBI: Supplementation With Amino Acid Rehabilitative Therapy in TBI
SmART-TBI
Supplementation With Amino Acid Rehabilitative Therapy in TBI (SmART-TBI): A Randomized Placebo-Controlled Trial to Improve Sleep
2 other identifiers
interventional
160
1 country
1
Brief Summary
The most persistent and disabling postconcussive symptoms following mild traumatic brain injury (mTBI) are sleep disturbances and cognitive dysfunction, with few tractable interventions currently available. Here, a novel therapy will be tested consisting of dietary supplementation with branched chain amino acids (BCAA), based on the study team's previous preclinical work showing restoration of glutamate neurotransmitter balance in sleep and memory circuits. Supplementation with Amino acid Rehabilitative Therapy in TBI (SmART-TBI) is a randomized, placebo-controlled, double-blinded, exploratory clinical trial of BCAA intended to establish the feasibility, acceptability, and limited efficacy of long-term BCAA to improve sleep and cognition in Veterans with mTBI. These results will inform the optimal study design of a future, full-scale randomized controlled trial, including the identification of the proper dose and duration of BCAA to improve sleep and the potential subpopulations of Veterans with mTBI that may benefit the most.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jun 2021
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 2, 2020
CompletedFirst Posted
Study publicly available on registry
October 26, 2020
CompletedStudy Start
First participant enrolled
June 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2025
CompletedJanuary 6, 2026
December 1, 2025
4.3 years
October 2, 2020
December 31, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (47)
Actiwatch Adherence
Proportion of days with actiwatch worn (goal \>70% days)
Year 1
Study Drug Adherence by drug accounting
Proportion of study drug consumed within each timepoint assessed by drug accounting.
Year 1
Study drug adherence by sleep diary
Proportion of study drug consumed assessed by sleep diary.
Year 1
Change in Monitoring of Side Effects Scale (MOSES)
Change in Monitoring of side effects scale with emphasis on GI, neurological, psychiatric side effects. Range= 0-124, higher= more side effects.
12 weeks
Study Drug Adherence by serum or sweat assay
Proportion of study drug consumed assessed by serum or sweat assays of BCAA (goal \>70% and \>20% increase in levels.
Year 1
Patient satisfaction with overall study process
Likert scale (1-5, higher= more satisfied) assessing satisfaction with consent process, staff, medication dispensing and regimen, devices/equipment, sleep study, questionnaires, cognitive testing, and overall experience of the study.
12 weeks
Monitoring of Side Effects Scale (MOSES)
Monitoring of side effects scale with emphasis on GI, neurological, psychiatric side effects. Range= 0-124, higher= more side effects.
4 weeks
Change in Monitoring of Side Effects Scale (MOSES)
Change in Monitoring of side effects scale with emphasis on GI, neurological, psychiatric side effects. Range= 0-124, higher= more side effects.
8 weeks
Reasons for non-adherence
Likert scale questions assessing response to statements including: "It upset my stomach", "I didn't have time", "it was too much to drink", "I didn't like the taste", "I didn't feel a benefit". Scale= 0-25, higher=agree more with statement.
4 weeks
Change in Reasons for non-adherence
Change in Likert scale questions assessing response to statements including: "It upset my stomach", "I didn't have time", "it was too much to drink", "I didn't like the taste", "I didn't feel a benefit". Scale= 0-25, higher=agree more with statement.
8 weeks
Change in Reasons for non-adherence
Change in Likert scale questions assessing response to statements including: "It upset my stomach", "I didn't have time", "it was too much to drink", "I didn't like the taste", "I didn't feel a benefit". Scale= 0-25, higher=agree more with statement.
12 weeks
Recruitment
Number of subjects consented of those eligible as descriptive percent
Year 1
Recruitment source
Proportion of subjects recruited from various sources (clinical referral, flyers, ads, etc)
Year 1
Retention
Number of completers out of the total number consented as descriptive statistic
Year 1
Retention by arm
Proportion of drop out within each arm
Year 1
Incidence of non-participation
Reasons for not participating after initial contact and before consent as descriptive percent.
Year 1
Screen Failures
Number of subjects enrolled who were later found ineligible as a descriptive percent
Year 1
Screen Failures
Number of subjects enrolled who were later found ineligible as a descriptive percent
Year 2
Screen Failures
Number of subjects enrolled who were later found ineligible as a descriptive percent
Year 3
Screen Failures
Number of subjects enrolled who were later found ineligible as a descriptive percent
Year 4
Incidence of non-participation
Reasons for not participating after initial contact and before consent as descriptive percent.
Year 2
Incidence of non-participation
Reasons for not participating after initial contact and before consent as descriptive percent.
Year 3
Incidence of non-participation
Reasons for not participating after initial contact and before consent as descriptive percent.
Year 4
Retention by arm
Proportion of drop out within each arm
Year 2
Retention by arm
Proportion of drop out within each arm
Year 3
Retention by arm
Proportion of drop out within each arm
Year 4
Retention
Number of completers out of the total number consented as descriptive statistic
Year 2
Retention
Number of completers out of the total number consented as descriptive statistic
Year 3
Retention
Number of completers out of the total number consented as descriptive statistic
Year 4
Recruitment source
Proportion of subjects recruited from various sources (clinical referral, flyers, ads, etc)
Year 2
Recruitment source
Proportion of subjects recruited from various sources (clinical referral, flyers, ads, etc)
Year 3
Recruitment source
Proportion of subjects recruited from various sources (clinical referral, flyers, ads, etc)
Year 4
Recruitment
Number of subjects consented of those eligible as descriptive percent
Year 2
Recruitment
Number of subjects consented of those eligible as descriptive percent
Year 3
Recruitment
Number of subjects consented of those eligible as descriptive percent
Year 4
Study Drug Adherence by serum or sweat assay
Proportion of study drug consumed assessed by serum or sweat assays of BCAA (goal \>70% and \>20% increase in levels.
Year 2
Study drug adherence by serum or sweat assay
Proportion of study drug consumed assessed by serum or sweat assays of BCAA (goal \>70% and \>20% increase in levels.
Year 3
Study drug adherence by serum or sweat assay
Proportion of study drug consumed assessed by serum or sweat assays of BCAA (goal \>70% and \>20% increase in levels.
Year 4
Study Drug Adherence by sleep diary
Proportion of study drug consumed assessed by sleep diary.
Year 2
Study Drug Adherence by sleep diary
Proportion of study drug consumed assessed by sleep diary.
Year 3
Study Drug Adherence by sleep diary
Proportion of study drug consumed assessed by sleep diary.
Year 4
Study drug adherence by drug accounting
Proportion of study drug consumed within each timepoint assessed by drug accounting.
Year 2
Study drug adherence by drug accounting
Proportion of study drug consumed within each timepoint assessed by drug accounting.
Year 3
Study drug adherence by drug accounting
Proportion of study drug consumed within each timepoint assessed by drug accounting.
Year 4
Actiwatch Adherence
Proportion of days with actiwatch worn (goal \>70% days)
Year 2
Actiwatch Adherence
Proportion of days with actiwatch worn (goal \>70% days)
Year 3
Actiwatch Adherence
Proportion of days with actiwatch worn (goal \>70% days)
Year 4
Study Arms (4)
BCAA 20g/daily
EXPERIMENTALBranched Chain Amino Acids, 10g BID x 12 weeks
BCAA 40g/daily
EXPERIMENTALBranched Chain Amino Acids, 20g BID x 12 weeks
BCAA 60g/daily
EXPERIMENTALBranched Chain Amino Acids, 30g BID x 12 weeks
Placebo 20g/daily
PLACEBO COMPARATORProtein without BCAA, 10g BID x 12 weeks
Interventions
Isoleucine, Leucine, and Valine, 10g BID x 12 weeks
Protein placebo control - all amino acids except for BCAA, 10g BID x 12 weeks
Eligibility Criteria
You may qualify if:
- Be Veterans (male and female; any race; 18-65 years of age)
- Be English speaking
- Be accessible via phone
- Be non-decisionally impaired
- Attest to there being no chance of being or becoming pregnant during the study (if female)
- Attest to no history of maple syrup urine disease or known family history of maple urine syrup disease
- Have either a history of self-reported sleep disturbances, either as determined via the Insomnia Severity Index, Functional Outcomes of Sleep Questionnaire or Epworth Sleepiness Scale, clinical assessment, and/or a history of self-reported cognitive disturbance (e.g., poor memory, concentration, attention)
- Not have an allergy to sucralose
- Not be a shift worker (e.g. have worked night or rotating shifts more than twice in the past month)
- Not have a diagnosis of amyotrophic lateral sclerosis
- Not be currently supplementing their diet with branched chain amino acids
- Not be starting another sleep intervention (e.g., positive airway pressure therapy for sleep apnea, sedative-hypnotic medication, or cognitive behavioral therapy for insomnia) during the study
- if already engaged in another sleep intervention, this must be stable and not undergo further changes during the study
- Meet diagnostic criteria for TBI using a validated clinical interview
You may not qualify if:
- Pregnancy or female trying to conceive
- Under 18 years old
- Known history of maple syrup urine disease
- Dementia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- VA Office of Research and Developmentlead
- Children's Hospital of Philadelphiacollaborator
- Oregon Health and Science Universitycollaborator
Study Sites (1)
VA Portland Health Care System, Portland, OR
Portland, Oregon, 97207-2964, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Miranda M Lim, MD PhD
VA Portland Health Care System, Portland, OR
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Masking Details
- Both participants and study team members will be double blinded to intervention. The biostatistician and Research Pharmacist dispensing drug will be the only ones with the key to unblinding.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- FED
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 2, 2020
First Posted
October 26, 2020
Study Start
June 1, 2021
Primary Completion
September 30, 2025
Study Completion
September 30, 2025
Last Updated
January 6, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- 6 months after the resulting publication
- Access Criteria
- Final datasets will be maintained locally until institutional resources become available for public access to data sets. Limited de-identified data sets will be made available on a case-by-case basis in response to specific user requests that meet criteria specified above.
A limited dataset (LDS) will be created and shared pursuant to a Data Use Agreement (DUA) appropriately limiting use of the dataset and prohibiting the recipient from identifying or re-identifying any individual whose data are included in the dataset.