Minnesota Paid Clinical Trials

Alcohol misuse is an epidemic among Veterans in the United States. Nearly 1/3 of Veterans have a lifetime history of Alcohol Use Disorder (AUD). In 2014, there were 15,306 unique patients treated in inpatient VA treatment programs alone, which represents a 10.7% increase from just two years prior. Unfortunately, about 2/3 of those entering treatment will relapse within one year. Cognitive impairments found in chronic alcohol use interfere with adaptive behavior needed for successful recovery. These cognitive impairments and their underlying neural substrates may provide promising new targets for interventions that can reduce relapse rates. Evidence suggests that cognitive training can improve cognition in individuals with AUD, strengthen neural networks mediating cognition, and improve treatment outcome. However, cognitive training is effort intensive, has small effect sizes, and may have limited durability. The primary objective of this study is to investigate if transcranial direct current stimulation (tDCS) can increase the effectiveness of cognitive training to enhance cognition in alcohol use disorder and improve treatment outcome. Read Less

The purpose of this study is to obtain informed consent to use stored human biological materials (HBM) (e.g., blood and other tissues) for future studies that may include genetic testing. Read Less

This study assesses the effect of hormone directed treatment for breast cancer on glucose metabolism. Read Less

The purpose of this study is to investigate the effects of acute inorganic nitrate supplementation (with beetroot) on the regulation of sleep and neurovascular physiology. Read Less

Difluoromethylornithine (DFMO) will be used in an open label, single agent, multicenter, study for patients with neuroblastoma in remission. In this study subjects will receive 730 Days of oral difluoromethylornithine (DFMO) at a dose of 750 mg/m2 ± 250 mg/m2 BID (strata 1, 2, 3, and 4) OR 2500 mg/m2 BID (stratum 1B) on each day of study. This study will focus on the use of DFMO in high risk neuroblastoma patients that are in remission as a strategy to prevent recurrence. Read Less

This is a Phase 3, open-label, multicenter study to evaluate the safety, PK, efficacy, PD, and immunogenicity of Cipaglucosidase Alfa/Miglustat treatment in enzyme replacement therapy (ERT)-experienced and ERT-naïve pediatric subjects with Pompe disease, aged 0 to \< 18 years Read Less

This screening and multi-sub-study Phase 1b/2 trial will establish a method for genomic screening followed by assigning and accruing simultaneously to a multi-study "Master Protocol (BAML-16-001-M1)." The specific subtype of acute myeloid leukemia will determine which sub-study, within this protocol, a participant will be assigned to evaluate investigational therapies or combinations with the ultimate goal of advancing new targeted therapies for approval. The study also includes a marker negative sub-study which will include all screened patients not eligible for any of the biomarker-driven sub-studies. Read Less

The purpose of this study is to test the feasibility and acceptability of implementing clinic system changes and physical structures in Uganda to improve aesthetics, welcome, and privacy to reduce HIV stigma, improve retention-in-care, and improve the patient experience. To evaluate pilot/implementation outcomes, the outcomes of fidelity, feasibility, and acceptability will be assessed prior to intervention. After the changes are done to two HIV interventions clinics, the outcome surveys will assess if the changes were disruptive or impeded the workings of the clinics. Read Less

Veterans with bipolar disorders (BD) experience recurrent and seemingly unpredictable periods of severe impairments in psychosocial functioning, such as participation in social roles and activities. Many effective treatments for BD emphasize early detection of bipolar episodes, in order to make necessary treatment adjustments and prevent psychosocial impairments associated with acute mood episodes. Unfortunately, acute mood episodes in BD are also associated with a decrease in a patient's insight into their own symptoms, which can prevent one's ability to self-report first signs of symptoms and functional declines. Moreover, routine care visits for BD are typically too infrequent to capture and effectively monitor day-to-day changes in a patient's mood and functioning. Objective, low-effort, and continuous methods of tracking symptoms and social participation of Veterans with BD in real-time and in-situ are needed to provide early (i.e., days in advance) warning signs of acute bipolar episodes and functional declines, which in turn would enable well-timed interventions to prevent poor psychosocial outcomes. mHealth refers to the use of mobile and wireless devices as part of patient care and offers many potential opportunities for early detection of and intervention for acute mood states in this population. However, these mHealth approaches have not been investigated in Veterans with BD. In a Small Projects in Rehabilitation Research (SPiRE)-funded pilot study, the investigator team established high feasibility and acceptability of one such innovative passive mHealth approach using a smartphone program, or an app, in a small sample of Veterans with BD to track their smartphone's GPS/location. The pilot study used a priori location context ratings of visited places (e.g., a priori ratings on types of activities usually engaged in at a frequently visited location) to derive unobtrusive measures of social participation (e.g., time spent at work-related locations). The goal of this Merit Review proposal is to establish reliable and valid machine-learning algorithms using the same types of mHealth data to prospectively (days in advance) detect declines in social participation and prospective onset of mania and depression in Veterans with BD. This proposal has three aims: Aim 1. To establish a machine learning algorithm using GPS/location data for predicting prospective declines in social participation in Veterans with BD. Aim 2. To establish machine learning algorithms using GPS/location data for predicting prospective acute BD clinical states. The investigators will explore whether adding more burdensome daily self-report and voice diaries' speech analysis features improves the models' precision using statistical indices of prediction precision or accuracy. Aim 3. To explore clinical implementation of the mHealth-based algorithms in treatment of BD. Focus groups of VA providers and administrators will assess feasibility of algorithms' implementation in clinical care. Read Less

Sixty patients will be enrolled in this study who are treated for Parkinson's disease (PD) with bilateral deep brain stimulation of subthalamic nucleus (STN) or globus pallidus (GP), who have a pre- operative 7 Tesla MRI including diffusion tensor imaging for tractography and a postoperative head CT for electrode localization, and in whom at least 3 months have passed since activation of their neurostimulators, for stabilization of clinical stimulator settings. Using their MRI and CT, the investigators will construct patient-specific models of electrical current spread to neuroanatomical tar- gets surrounding the electrode. Then applying nonlinear (particle swarm) optimization, patient- specific stimulator settings will be designed to maximally or minimally activate specific path- ways. In STN DBS: pedunculopallidal vs. pallidopeduncular pathways. In GP DBS: pallidopeduncular pathways at its origin in GP pars interna (GPi) vs. inhibitory afferents to GPi (from GP pars externa GPe). All stimulation falls within the the FDA-approved range for DBS for PD. Read Less

This study addresses the timely problem of painful temporomandibular disorders (TMD), the most common cause of orofacial pain second only to tooth pain. Findings from previous studies suggest that dysregulation of connectivity within specific brain circuits is part of chronic pain pathophysiology. This study will identify connectivity patterns within those brain circuits as potential signatures for pain- related disability in chronic TMD pain participants. New knowledge regarding these brain connectivity patterns is expected to be significant because it will support improved phenotyping of this heterogeneous participant population. It is also expected that this finding can potentially be extrapolated to other chronic pain conditions, such as back pain, migraine headache, and fibromyalgia that are frequently comorbid conditions in chronic TMD participants. Read Less

Supervised exercise therapy (SET), consisting of treadmill exercise conducted three times weekly at a center while supervised by healthcare personnel, is first line therapy for people disabled by lower extremity peripheral artery disease (PAD). However, travelling three times/week to a center for SET is burdensome. Compared to SET, home-based exercise is more accessible and less burdensome. Yet, evidence-based guidelines recommend SET over home-based exercise for PAD. Walking exercise is first line therapy to improve walking distance for PAD, but it does not eliminate ischemic leg symptoms in most people with PAD. The investigators' work and that of others showed that nitrate-rich beetroot juice, which increases plasma nitrite, limb perfusion, and skeletal muscle function, significantly improved exercise tolerance and reduced non-response to exercise in people with and without PAD. The investigators will use a 2 x 2 factorial design to address two major barriers to achieving benefits from exercise therapy for PAD: First, guideline recommendations for supervised exercise therapy (SET) as first line therapy for PAD. Second, the inability of exercise therapy to eliminate PAD-related disability in most people with PAD. Participants will be randomized to one of four groups for 12 weeks: Supervised treadmill exercise + nitrate rich beetroot juice; supervised treadmill exercise + placebo, home-based walking exercise + nitrate rich beetroot juice, home-based walking exercise + placebo. Read Less