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This is a multicenter study that will be conducted at up to 20 inpatient rehabilitation facilities (IRFs) in the United States. BQ 2.0 is a wearable medical device that produces and delivers non-invasive, extremely-low-intensity and low-frequency, frequency-tuned electromagnetic fields in order to stimulate neuronal networks with the aim of reducing disability and promoting neurorecovery. In this study, BQ 2.0 is intended to reduce disability in adult patients with subacute ischemic stroke, with a moderate to severe disability which includes an upper extremity motor impairment. BQ 2.0 will be used for 9 weeks in conjunction with physical and occupational therapy (PT/OT), with treatment initiated in inpatient rehabilitation facilities (IRF) and then continued post-discharge in subjects' homes under periodic remote supervision of a trained site study team member. The study will enroll up to 150 subjects who will be randomly assigned (1:1 allocation ratio) to either active or sham study intervention using BQ 2.0.
This prospective study aims to identify the diagnostic accuracy of echocardiographic predictors of atrial fibrillation in patients with ESUS (embolic stroke of undetermined source) or TIA (transient ischemic attack).
The purpose of this study was to examine whether if the effect of standing with assistance of the tilt table on diaphragm excursion and thickness in the stroke patients with tracheotomy.
Post-stroke motor recovery is compelling but limited. Current rehabilitation has less impacts on the plateau that spontaneous biological recovery could be expected. The advances in non-invasive neuromodulation and neurophysiological characterization of critical motor recovery period enable breaking the proportional recovery limitation. Our pilot studies demonstrated the safety and responsiveness of combing dual transcranial direct current stimulation (tDCS) and motor training in subacute stroke patients. There is also strong evidence that selective serotonin reuptake inhibitors (SSRIs) can substantially increase the effects of tDCS and improve motor function after stroke, even in the absence of depression. This proposal aims to prove the potential of combining of tDCS and the commonly used SSRI citalopram to improve response to a daily motor training intervention in acute stroke patients (Co-STARS trial).
Efficacy and safety of Neu2000, a multi-target drug designed to prevent both NMDA receptor-mediated excitotoxicity and free radical toxicity, will be investigated in acute ischemic stroke patients receiving endovascular treatment to remove clot within 12 hours following stroke onset. Neu2000KWL will be administered before endovascular treatment.
The overall incidence of good outcome for AIS following endovascular treatment is only proximately 50%. Whether NBO was safe and effective to improve acute ischemic stroke prognosis is still unclear. The investigators' hypothesis is thatNBO is a safe and effective strategy to improve longterm outcome in AIS patients undergoing endovascular treatment.
Regaining independent gait is one of the main goals in stroke rehabilitation and early prediction of gait outcome is important to guide discharge planning at acute stroke units, design rehabilitation and inform patients and relatives. In the last decade, two easy-to-apply prediction models for gait were developed: the EPOS model in the Netherlands and the TWIST model in New Zealand. Although the models' performance in the development cohorts was good, this does not automatically mean that the models are ready for application in clinical practice, as it is unknown whether their performance is also good in an independent cohort from a different country and with different patient characteristics. Such external validation is an essential step towards clinical implementation of prediction models. A mobility-related problem is the occurrence of falls after stroke. Walking is among the Top 3 activities during which stroke patients fall, with the other two activities being transferring or sitting in a wheelchair. Especially soft tissue injuries after a fall are common and in 1-15% of the patients, the fall results in a fracture. Apart from the costs that arise from these injuries, falls have a negative impact on the patient's physical functioning and psychological status, with an increased dependency and fear of falling, resulting in a reduced quality of life. A systematic review found 12 studies that developed fall risk prediction models for either inpatient rehabilitation stroke patients or those living in the community. Important predictors for falls are the presence of hemi-inattention, fall history and balance deficits. However, none of the models had an acceptable performance and predictors were not always captured by a validated assessment, which is an important prerequisite for an unbiased prediction model. The primary aim of this study is to externally validate the EPOS and TWIST models for independent gait after stroke in a heterogeneous sample of subjects admitted to the hospital with an acute stroke. It is hypothesized that the performance of both models in this independent cohort will be lower than in the development cohorts, but still be adequate. The secondary objective is to investigate the occurrence and predictability of falls within the first six months after stroke and its relationship with the prognosis for independent gait within this sample.
This epidemiological survey is to analyze the prevalence rate of stroke and exposure rate of risk factors in sampling population aged 40 years and over (born before December 31,1975) in Dehui City, to provide scientific basis for pertinent prevention and control of stroke in Jilin Province, and to provide valuable data for the high-risk groups to carry out regular follow-up and standardized management.
1. Compare the effects of gargling with green tea on the oral health of stroke patients? 2. Compare whether gargling with green tea can reduce halitosis in stroke patients? 3. Compare whether gargling with green tea can reduce plaque index in stroke patients?
The purpose of this study is to quantify the improvement of post- stroke individuals' ability to move their arms during and after robot assisted therapy. While researchers know that robot assisted therapies improve motor performance over the course of weeks, they do not know how motor performance is affected over the course of minutes or hours. A better understanding of how robot assisted therapies affect motor performance on short time scales may help us to prescribe more effective therapy doses to maximize motor recovery after neurological injury. The study will allow us to obtain a detailed understanding of the performance of the device as described above.