An Evaluation of the St. Louis Regional Community Placement Program

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Perceptions Regarding Concussions in Collegiate Football at the University of Mississippi

Concussions are a form of mild traumatic brain injury (mTBI) that can occur from any force to the head or body that causes the brain to move within the skull. Concussions are common in the sport of football due to the highly physical nature of the sport, and injured athletes can experience a wide array of symptoms. Like other players participating with powerhouse football programs, those at the University of Mississippi are at risk of concussion throughout their collegiate career. Whether players and fans perceive the risks of concussion equally has not been previously studied. Considering the passionate history of football at the University, the purpose of this project was to survey full-time students, faculty, and staff at the University of Mississippi regarding their views of the effects and associated risks of concussion on Ole Miss players. We set out to determine which position was perceived to be at greatest risk of concussion. We were also interested in how the public viewed, and was influenced by, the media’s presentation of concussions. We sought to analyze responses based on Ole Miss classification, self-reported devotion to Ole Miss football, identification as current, former, or non-athletes in football or other sports. The results of this study serve to open a dialogue regarding the safety of Ole Miss football players in years to come

Functional and genetic analyses of dipeptidyl peptidase 4 deficiency (Dpp4/Cd26) in a rat model

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Advancement of Multifunctional support structure technologies (AMFSST)

The multifunctional support structure (MFSS) technology is promising a reduction of overall mass and packing volume for spacecraft (S/C) electronic components. This technology eliminates the electronic box chassis and the cabling between the boxes by integrating the electronics, thermal control and the structural support into one single element. The ultimate goal of the MFSS technology is to reduce size, weight, power consumption, cost and production time for future spacecraft components. The paper focus on the main challenges and solutions related to the thermal management within the MFSS technology based on the selected charge regulator (CR) application. Starting with the main set of thermal requirements for the CR the paper will include, conceptual and detailed design based on highconductivity carbon fibre CFRP, description and results of the thermal material sample test program ; parameter and results for the performed first thermal simulationComment: Submitted on behalf of TIMA Editions (http://irevues.inist.fr/tima-editions

Die stereotaktische Injektion von Patienten-Liquor mit GAD-Enzephalitis fördert die Entstehung spontaner epileptischer Aktivität im Hippocampus der Ratte

Die limbische Enzephalitis ist eine Erkrankung, welche aufgrund moderner Diagnostik immer häufiger diagnostiziert wird. Es handelt sich um eine Autoimmunerkrankung, bei der verschiedene Antikörper gegen intrazelluläre Proteine oder mebranständige Rezeptorkanäle nachgewiesen wurden. Einer dieser Antikörper sind die GAD-Ak, Antikörper gegen die Glutamatdecarboxylase, deren pathophysiolgische Bedeutung jedoch nicht vollständig geklärt wurde. Dies soll in dieser Forschungsarbeit weiter untersucht werden

Five-year outcome in 18 010 patients from the German Aortic Valve Registry

OBJECTIVES: To determine the 5-year outcome in patients treated by isolated transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement (sAVR)—a prospective observational cohort study. METHODS: A total of 18 010 patients were included (n = 8942 TAVI and n = 9068 sAVR) in the German Aortic Valve Registry (GARY) who were treated in 2011 and 2012 at 92 sites in central Germany. Eligible patients with TAVI and sAVR were matched using propensity scores in a nearest-neighbour approach. Patients with repeat procedures or unequivocal indication for one treatment option (e.g. frailty) were excluded (n = 4785 for TAVI and n = 2 for sAVR). This led to 13 223 patients (4157 TAVI and 9066 sAVR) as an unmatched subcohort. The main outcome measure was the 5-year all-cause mortality. RESULTS: TAVI patients were significantly older (80.9 ± 6.1 vs 68.5 ± 11.1 years, P < 0.001), had a higher Society of Thoracic Surgeons (STS) score (6.3 ± 4.9 vs 2.6 ± 3.0, P < 0.001) and a higher 5-year all-cause mortality (49.8% vs 16.5%, P < 0.0001). There was no major difference in in-hospital stroke, in-hospital myocardial infarction, or temporary and chronic dialysis. In the propensity score-matched group (n = 3640), there were 763 deaths (41.9%) among 1820 TAVI patients compared with 552 (30.3%) among 1820 treated with sAVR during the 5-year follow-up (hazard ratio 1.51, 95% confidence interval 1.35–1.68; P < 0.0001). New pacemaker implantation was performed in 448 patients (24.6%) after TAVI and in 201 (11.0%) after sAVR (P < 0.0001). CONCLUSIONS: The 5-year follow-up data show that TAVI patients were significantly older and had a higher STS score than sAVR patients. After propensity score matching, TAVI with early-generation prosthesis was associated with significantly higher 5-year all-cause mortality than sAVR

Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores.

AIMS Identification of high-risk patients and individualized decision support based on objective criteria for rapid discharge after transcatheter aortic valve implantation (TAVI) are key requirements in the context of contemporary TAVI treatment. This study aimed to predict 30-day mortality following TAVI based on machine learning (ML) using data from the German Aortic Valve Registry. METHODS AND RESULTS Mortality risk was determined using a random forest ML model that was condensed in the newly developed TAVI Risk Machine (TRIM) scores, designed to represent clinically meaningful risk modelling before (TRIMpre) and in particular after (TRIMpost) TAVI. Algorithm was trained and cross-validated on data of 22 283 patients (729 died within 30 days post-TAVI) and generalisation was examined on data of 5864 patients (146 died). TRIMpost demonstrated significantly better performance than traditional scores [C-statistics value, 0.79; 95% confidence interval (CI)] [0.74; 0.83] compared to Society of Thoracic Surgeons (STS) with C-statistics value 0.69; 95%-CI [0.65; 0.74]). An abridged (aTRIMpost) score comprising 25 features (calculated using a web interface) exhibited significantly higher performance than traditional scores (C-statistics value, 0.74; 95%-CI [0.70; 0.78]). Validation on external data of 6693 patients (205 died within 30 days post-TAVI) of the Swiss TAVI Registry confirmed significantly better performance for the TRIMpost (C-statistics value 0.75, 95%-CI [0.72; 0.79]) compared to STS (C-statistics value 0.67, CI [0.63; 0.70]). CONCLUSION TRIM scores demonstrate good performance for risk estimation before and after TAVI. Together with clinical judgement, they may support standardised and objective decision-making before and after TAVI