Video-assisted swallowing therapy for patients with Parkinson's disease

BackgroundConventional swallowing therapy for patients with Parkinson's disease (PD) and swallowing difficulties has poor carryover to everyday life. Herein, we test the effectiveness of visual information while treating swallowing disturbances in patients with PD.MethodsForty two non-demented PD patients with swallowing disturbances were randomly divided into two groups. An experimental group received video-assisted swallowing therapy (VAST) and a control group (n = 21) was given conventional therapy. Both groups were given 6 interventional sessions by the same speech and swallowing therapist. Patients in the VAST group were exposed to video of the swallowing process in general as well as of their own, as part of all therapy sessions. Swallowing function was assessed before and post-intervention by fiberoptic endoscopic evaluation of swallowing (FEES). Quality of life, quality of care and the degree of pleasure from eating were also assessed by questioners pre and post-intervention.ResultsThere was a significant improvement in swallowing functions following both interventions. The FEESs demonstrated a significantly greater reduction in food residues in the pharynx in the VAST group compared to the conventional treatment group. There were significant group improvement in some parameters of the quality of life, quality of care and pleasure of eating scales.ConclusionIn cognitively intact patients with PD with swallowing disturbances VAST was associated with improved swallowing related QOL and less food residues in the pharynx.     

ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research

The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder-oriented working groups used the ENIGMA-DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the largest studies detailing patterns of white matter deficits in schizophrenia spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), obsessive–compulsive disorder (OCD), posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and 22q11 deletion syndrome. These deficit patterns are informative of the underlying neurobiology and reproducible in independent cohorts. We reviewed these findings, demonstrated their reproducibility in independent cohorts, and compared the deficit patterns across illnesses. We discussed translating ENIGMA-defined deficit patterns on the level of individual subjects using a metric called the regional vulnerability index (RVI), a correlation of an individual's brain metrics with the expected pattern for a disorder. We discussed the similarity in white matter deficit patterns among SSD, BD, MDD, and OCD and provided a rationale for using this index in cross-diagnostic neuropsychiatric research. We also discussed the difference in deficit patterns between idiopathic schizophrenia and 22q11 deletion syndrome, which is used as a developmental and genetic model of schizophrenia. Together, these findings highlight the importance of collaborative large-scale research to provide robust and reproducible effects that offer insights into individual vulnerability and cross-diagnosis features.     

Assessing Differences Between Physicians’ Realized and Anticipated Gains from Electronic Health Record Adoption

Return on investment (ROI) concerns related to Electronic Health Records (EHRs) are a major barrier to the technology’s adoption. Physicians generally rely upon early adopters to vet new technologies prior to putting them into widespread use. Therefore, early adopters’ experiences with EHRs play a major role in determining future adoption patterns. The paper’s purposes are: (1) to map the EHR value streams that define the ROI calculation; and (2) to compare Current Users’ and Intended Adopters’ perceived value streams to identify similarities, differences and governing constructs. Primary data was collected by the Texas Medical Association, which surveyed 1,772 physicians on their use and perceptions of practice gains from EHR adoption. Using Bayesian Belief Network Modeling, value streams are constructed for both current EHR users and Intended Adopters. Current Users and Intended Adopters differ significantly in their perceptions of the EHR value stream. Intended Adopters’ value stream displays complex relationships among the potential gains compared to the simpler, linear relationship that Current Users identified. The Current Users identify “Reduced Medical Records Costs” as the gain that governs the value stream while Intended Adopters believe “Reduced Charge Capture Costs” define the value stream’s starting point. Current Users’ versus Intended Adopters’ assessments of EHR benefits differ significantly and qualitatively from one another.     

What Can We Learn From Freezing of Gait in Parkinson’s Disease?

Freezing of gait (FOG) is defined as an episodic inability to generate effective stepping in the absence of any known cause, other than parkinsonism or high-level gait disorders. Substantial effort has been made to describe the clinical and kinematic characteristics of patients with FOG. In our review, we highlight the distinctive features of FOG in Parkinson’s disease (PD) and apply the knowledge of its pathophysiology in PD to other clinical situations and conditions. It is possible that FOG in PD represents the ultimate break in the frontal lobe–basal ganglia–cerebellar–brainstem network that controls gait. Dysrhythmic and discoordinated gait with abnormal scaling of stride length, as well as gait festination, likely is the primary and continuous abnormality of “the gait network” in PD, and FOG represents its extreme and complete but transient disruption.     

Evaluation of the NiTi Shape Memory BioDynamix ColonRing™ in colorectal anastomosis: first in human multi-center study

Background   

Shape-memory compression bowel anastomosis using a nickel and titanium alloy may reduce leak rates and eliminate foreign anastomotic material. Its safety and efficacy had been demonstrated by animal studies. We conducted the first prospective multi-center clinical evaluation of the safety and effectiveness of BioDynamix anastomosis with ColonRing™ for large-bowel end-to-end or side-to-end anastomosis.