AcuSleep in Mild Traumatic Brain Injury (TBI) (AcuTBI)
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| First Received Date ICMJE | June 15, 2010 | ||||||||
| Last Updated Date | March 19, 2013 | ||||||||
| Start Date ICMJE | July 2011 | ||||||||
| Estimated Primary Completion Date | September 2015 (final data collection date for primary outcome measure) | ||||||||
| Current Primary Outcome Measures ICMJE |
Sleep efficiency [ Time Frame: 3 months ] [ Designated as safety issue: No ] | ||||||||
| Original Primary Outcome Measures ICMJE | Same as current | ||||||||
| Change History | Complete list of historical versions of study NCT01162317 on ClinicalTrials.gov Archive Site | ||||||||
| Current Secondary Outcome Measures ICMJE | Not Provided | ||||||||
| Original Secondary Outcome Measures ICMJE | Not Provided | ||||||||
| Current Other Outcome Measures ICMJE | Not Provided | ||||||||
| Original Other Outcome Measures ICMJE | Not Provided | ||||||||
| Descriptive Information | |||||||||
| Brief Title ICMJE | AcuSleep in Mild Traumatic Brain Injury (TBI) | ||||||||
| Official Title ICMJE | Novel Approaches to Sleep Difficulties: Application in Mild TBI | ||||||||
| Brief Summary | The proposed research will examine innovative and effective interventions to improve veterans' sleep and quality of life (QoL), while exploring the potential of integrating complementary alternative treatment modality, such as acupuncture, when compared to established sleep education model. The findings will also allow better understanding of the complex dimensions of sleep disturbance and its association with other co-existing symptoms (e.g. pain, depression, anxiety and post-traumatic stress [PTS]) using mild traumatic brain injury (TBI) as a model and exploration of the mechanism(s) that underlie sleep improvements. |
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| Detailed Description | Objectives: In the mild traumatic brain injury (TBI) population, the treatment of sleep difficulties is complicated by multiple coexisting symptoms, especially pain, depression, and anxiety, and the risk of sleep medication side effects. Complementary alternative medicine (CAM), such as acupuncture, can potentially provide efficacy in treatment of sleep difficulties with fewer side effects. The specific aim of the proposed research project is to address the following research questions:
Research plan: Study design: a clinical trial evaluating treatment effects of insomnia in mild TBI patients with subjects randomly assigned to one of the two groups a) real acupuncture; b) sham acupuncture. Hypotheses:
Methods: Subject Population: Veterans at the Atlanta Veteran Affairs Medical Center (VAMC) TBI Clinics, age 18 to 55, with mild TBI over 3 months post injury who have sleep difficulties > 4x per week and PSQI >8. Total of 66 subjects will be targeted for recruitment with a sample size of 50. Procedures to Be Used: The hypotheses will be tested in a 2 group Randomised Control Trial (RCT) with assignment to sham acupuncture, or real acupuncture. Subjects will receive an intensive 60-minute sleep hygiene education session with research assistant/respiratory therapist and a package containing information on sleep hygiene prior to randomization. The subjects will be asked to practice these rules for 4 weeks at home. There will be 5 weeks of intervention and 4 weeks of follow-up. Both subjective and objective sleep outcome measures along with relevant co-variates will be assessed at baseline, post-intervention and after follow-up. Outcome measures: Well-validated and reliable outcome measures of sleep using both objective (actigraph) and subjective (PSQI) measures, pain (Brief Pain Inventory), depression (Beck Depression Inventory), anxiety (Beck Anxiety Inventory), PTSD (PTSD Check List-Military), quality of life (Veterans Rand-36 Item Health Survey) will be used. Quantitative analysis of autonomic nerve system modulation will be investigated with measures of normalized spectral heart rate variability. Statistical analyses: Data analysis will proceed from univariate descriptive statistics through multivariate analyses. Continuous variables will be summarized using the usual sample summary statistics (overall and within each group). Categorical variables will be represented by frequencies. For all analyses, we will evaluate model assumptions before conducting any tests of hypotheses. Baseline characteristics between the two groups will be compared using unpaired t-tests or Chi-square tests to evaluate the equivalency of the treatment groups with respect to injury type, time from injury, severity of sleep difficulties, pain, anxiety, depression, PTSD, autonomic function in addition to the demographics. If there are significant differences between the two groups on any of the variables, these variables will be included as control variables or covariates in the analyses described below. Since we believe that headaches and pain can alter an individual's sleep, we will control for headache and pain as well. We will conduct an intent to treat analysis of the differences in outcomes measured at post treatment between the two arms using simple t-tests, performed at a 5% significance level. Using the intent to treat analysis, all subjects will be included in the analysis as randomized. We will also make comparisons within each group of the difference in outcomes measured at baseline and post treatment using paired t-tests. Changes in sleep and QoL outcomes in the treatment group that receives real acupuncture and sleep education will be compared to changes in the treatment group receives sham acupuncture and sleep education, after adjusting for significant baseline values and subjects' demographic characteristics, will be analyzed using one way analysis of covariance. Pearson's correlations will be investigated to quantify an association between changes in sleep outcome measures and change in HRV, pain, headaches, depression, anxiety, and PTSD scores. Logistic regression models will be developed to determine if certain variables can be considered predictors of an individual achieving normalized sleep. For covariates, reference cell coding will be used for categorical variables and the influence of each observation will be examined when employing the logistic regression models. Attrition rates will be compared across treatment arms. Given the longitudinal nature of this study, parameter estimates from mixed linear models will be developed. The justification for mixed linear models is that fact that mixed linear models do not use case-wise deletion approaches to missing data. In addition, last observation carried forward method will be used to also handle missing data. The parameter estimates from these models will be compared to parameter estimates from mixed linear models; thus, providing a clear understanding of the impact of attrition and missing data on our results. Clinical Relevance: The research will improve our scientific understanding of sleep difficulties in mild TBI, may also promote innovative integration of conventional therapies with CAM modalities to enhance treatment effects, reduce medication side effects, advance patient quality of care, and save healthcare costs. |
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| Study Type ICMJE | Interventional | ||||||||
| Study Phase | Not Provided | ||||||||
| Study Design ICMJE | Allocation: Randomized Endpoint Classification: Efficacy Study Intervention Model: Factorial Assignment Masking: Single Blind (Outcomes Assessor) Primary Purpose: Treatment |
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| Condition ICMJE |
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| Intervention ICMJE |
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| Publications * | Not Provided | ||||||||
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* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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| Recruitment Information | |||||||||
| Recruitment Status ICMJE | Recruiting | ||||||||
| Estimated Enrollment ICMJE | 66 | ||||||||
| Estimated Completion Date | December 2015 | ||||||||
| Estimated Primary Completion Date | September 2015 (final data collection date for primary outcome measure) | ||||||||
| Eligibility Criteria ICMJE | Inclusion Criteria:
Exclusion Criteria:
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| Gender | Both | ||||||||
| Ages | 18 Years to 55 Years | ||||||||
| Accepts Healthy Volunteers | No | ||||||||
| Contacts ICMJE |
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| Location Countries ICMJE | United States | ||||||||
| Administrative Information | |||||||||
| NCT Number ICMJE | NCT01162317 | ||||||||
| Other Study ID Numbers ICMJE | B6924-W | ||||||||
| Has Data Monitoring Committee | No | ||||||||
| Responsible Party | Department of Veterans Affairs | ||||||||
| Study Sponsor ICMJE | Department of Veterans Affairs | ||||||||
| Collaborators ICMJE | Not Provided | ||||||||
| Investigators ICMJE |
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| Information Provided By | Department of Veterans Affairs | ||||||||
| Verification Date | March 2013 | ||||||||
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ICMJE Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP |
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