Thygesenmacmillan6195

Prediction of outcome after stroke may help clinicians provide effective management and plan long-term care. We aimed to develop and validate a score for predicting good functional outcome available for hospitals after ischemic stroke using linked data. A total of 22,005 patients with acute ischemic stroke from the Clinical Research Center for Stroke Registry between July 2007 and December 2014 were included in the derivation group. We assessed functional outcomes using a modified Rankin scale (mRS) score at 3 months after ischemic stroke. We identified predictors related to good 3-month outcome (mRS score ≤ 2) and developed a score. External validations (geographic and temporal validations) of the developed model were performed. The prediction model performance was assessed using the area under the receiver operating characteristic curve (AUC) and the calibration test. Stroke severity, sex, stroke mechanism, age, pre-stroke mRS, and thrombolysis/thrombectomy treatment were identified as predictors for 3-month good functional outcomes in the S-SMART score (total 34 points). Patients with higher S-SMART scores had an increased likelihood of a good outcome. The AUC of the prediction score was 0.805 (0.798-0.811) in the derivation group and 0.812 (0.795-0.830) in the geographic validation group for good functional outcome. The AUC of the model was 0.812 (0.771-0.854) for the temporal validation group. Moreover, they had good calibration. The S-SMART score is a valid and useful tool to predict good functional outcome following ischemic stroke. This prediction model may assist in the estimation of outcomes to determine care plans after stroke.In children, intense levels of anxiety during anesthetic induction are associated with a higher risk of pain, poor recovery, and emergence delirium. Therefore, it is important to identify these high-risk children at hospital arrival. The current study examined internalizing behavior (Child Behavior Checklist, CBCL) and state anxiety measures (modified Yale Preoperative Anxiety Scale, mYPAS, and State Trait Anxiety Inventory for Children, STAIC) at hospital arrival as predictors of anxiety during induction of anesthesia. One hundred children (aged 4 to 12 years) undergoing elective daycare surgery were included. The STAIC and mYPAS at hospital arrival were significant predictors of anxiety during induction, whereas CBCL was not. The STAIC state form at hospital arrival was the strongest predictor and could be used to identify children who will experience intense levels of anxiety during anesthetic induction, with sufficient to good diagnostic accuracy. Using the STAIC at hospital arrival allows targeted interventions to reduce anxiety in children.PURPOSE Intraoperative hyperglycemia is associated with infectious complications in general surgery patients. Harringtonine This study aimed to determine if the use of lactated Ringer's (LR) carrier solution during hyperthermic intraperitoneal chemotherapy (HIPEC) would lower the incidence of intraoperative hyperglycemia and improve postoperative outcomes when compared with a standard 1.5% dextrose peritoneal dialysate carrier solution. PATIENTS AND METHODS This is a retrospective cohort study of 134 patients who underwent HIPEC at the University of Colorado. Perioperative glucose levels and outcomes were compared between patients who were perfused with 1.5% dextrose peritoneal dialysate carrier solution (n = 68) versus LR carrier solution (n = 66). RESULTS The study population consisted of patients undergoing HIPEC for appendiceal (50%), colorectal (34%), mesothelioma (8%), and ovarian cancer (5%). Intraoperative severe hyperglycemia (glucose ≥ 180 mg/dL) was significantly more common among patients perfused with a dextrose-containing carrier solution versus those perfused with LR (88% vs. 21%; p  less then  0.001). Patients in the dextrose cohort had significantly more severe complications (39% vs. 12%; p = 0.034), infectious complications (35% vs. 15%; p = 0.011), and organ space infections (18% vs. 5% p = 0.026) than the LR cohort. On multivariable analysis, dextrose-containing carrier solution was significantly associated with an increased risk of postoperative infectious complications (HR 5.16; p = 0.006). CONCLUSIONS Intraoperative hyperglycemia is common when dextrose-containing carrier solution is used during HIPEC, and severe intraoperative hyperglycemia is strongly associated with an increased risk for infectious of complications following HIPEC. LR carrier solution should be routinely used to reduce intraoperative hyperglycemia and its associated risks.In the original article Moritz Schmelzle's last name is spelled wrong. It is correct as reflected here.Although it is often assumed that electronic gaming machines (EGMs) are associated with the highest level of risk, it has proved difficult to find reliable evidence in support of this proposition. In this paper, we analysed statistics from major Australian community prevalence studies for the period 2011-2020 to investigate whether EGMs (in comparison to racing and casino table games) have a stronger association with problem gambling. All prevalence studies reviewed used telephone sampling and the Problem Gambling Severity Index to assess problem gambling. In this paper, we examine the principal hypothesis using several lines of evidence, including whether problem gamblers are more likely to gamble and gamble regularly on EGMs as opposed to racing and casino games and if the EGM-problem gambling association was maintained after controlling for other forms of participation. Results showed that of all gambling activities, EGMs do appear to have the strongest association with problem gambling. Despite having a disproportionately higher level of participation on racing and casino games as compared with other gamblers, problem gamblers are more likely to report regular or weekly participation in EGM gambling and this may be the reason why this activity emerges most strongly as a predictor of problem gambling in multivariate models. This finding is particularly salient, given the very high prevalence of EGM participation, compared to other risky gambling forms. The findings underscore the importance of survey reporting that presents results in a form that can inform policy relevant research relating to the potential impact of different gambling activities.A large contemporary UK cohort study, the Avon Longitudinal Study of Parents and Children, was used to investigate gambling behavior and to explore the antecedents of regular gambling in the 17-24-year age group. Participants completed computer-administered gambling surveys in research clinics, on paper, and online. The sample sizes were 3566 at age 17 years, 3940 at 20 years, and 3841 at 24 years; only 1672 completed all three surveys. Participation in gambling in the last year was reported by 54% of 17-year-olds, rising to 68% at 20 years, and 66% at 24 years, with little overall variance. Regular (weekly) gambling showed a strong gender effect, increasing among young men from 13% at 17 years to 18% at 20 years, and 17% at 24 years. Although gambling frequency increased between the ages of 17 and 20 years, gambling behaviors showed little variance between 20 and 24 years, except online gambling and betting on horseraces. The commonest forms of gambling were playing scratchcards, playing the lottery, and private betting with friends. Gambling on activities via the internet increased markedly between 17 and 24 years, especially among males. In the fully adjusted model, individual antecedents of regular gambling were being male, and having a low IQ, an external locus of control, and high sensation seeking scores. Parental gambling behavior and maternal educational background were associated with regular gambling in both sexes. Regular gambling was associated with smoking cigarettes and frequent and harmful use of alcohol, but no associations with depression were found.Gambling opportunities are facilitated by the growth of the Internet and social media platforms. Digital games also increasingly include monetary features, such as microtransactions, blurring the line between gambling and gaming. The Internet provides a variety of virtual communities for gamblers and gamers, but comprehensive research on these communities and their relevance in gambling and monetary gaming behaviors remains scarce. This paper summarizes research of online gambling and monetary gaming communities based on a systematic literature review. A systematic literature search was conducted from five databases Scopus, Web of Science, PsycINFO, Social Science Premium Collection, and EBSCOhost. The search was limited to empirical articles that focused on gambling or gaming involving money and examined online interaction between gamblers or gamers. Preliminary search resulted in 1056 articles, from which 55 were selected for the analyses based on pre-determined criteria. According to results, online communities serve different functions in gambling and gaming behaviors. Gambling communities are typically forums for discussing and sharing gambling experiences, strategies, and tips as well as gambling problems, while gaming communities are inherently embedded inside a game being an essential part of the gaming experience. Identification with virtual communities influences gambling behavior and monetary gaming behavior through mechanisms of perceived norms, social influence, and community feedback. Whereas some gambling communities may provide protection from excessive gambling habits, gaming communities seem to solely motivate gaming behavior and purchase intentions. The role of online communities should be acknowledged in prevention and treatment of gambling and gaming problems.Applications such as brain computer interfaces require recordings of relevant neuronal population activity with high precision, for example, with electrocorticography (ECoG) grids. In order to achieve this, both the placement of the electrode grid on the cortex and the electrode properties, such as the electrode size and material, need to be optimized. For this purpose, it is essential to have a reliable tool that is able to simulate the extracellular potential, i.e., to solve the so-called ECoG forward problem, and to incorporate the properties of the electrodes explicitly in the model. In this study, this need is addressed by introducing the first open-source pipeline, FEMfuns (finite element method for useful neuroscience simulations), that allows neuroscientists to solve the forward problem in a variety of different geometrical domains, including different types of source models and electrode properties, such as resistive and capacitive materials. FEMfuns is based on the finite element method (FEM) impleme tool to simulate signals generated on electrode grids by the spatiotemporal electrical activity patterns produced by sources and thereby allows the user to optimize grids for brain computer interfaces including exploration of alternative electrode materials/properties.Quarry activities are creating diverse stress on biological resources in the rural areas where most of them are located globally. In this study, the effect of quarry activities on elephant grass (Pennisetum purpureum) leaves and soils around Onigambari Forest Reserve, Oyo State, Nigeria, were investigated. Soil and samples of elephant grass (Pennisetum purpureum) leaves were collected from two different distances from the quarry plant. Samples used as control were collected within the boundary of Cocoa Research Institute of Nigeria (CRIN), Oyo State, Nigeria estate. Samples were analysed using proton-induced X-ray emission, to determine the elements. The physiochemical parameters were also analysed in both soil and leaves samples. The mean concentration of the elements in the soil sample from Site 1 was higher in Mg, Cl, Ca, Ti, Cr, Mn, Fe, Zn and Zr than Site 2 and the control site. While in leaves, similar trend was observed. Cd and Ag were highly enriched.