Rodriguez Lynge (butterloaf3)

01) and the drift in the forearm-trunk angle during shoulder abduction in supination (greater in cases than in controls, p = 0.01). The body sway during walking was moderately correlated with NIHSS score (Rho = -0.39; p = 0.01) but better correlated with mRS score (Rho = -0.52; p 1) (OR = 1.27; p = 0.04). Conclusion We present a new software that detects even mild motor impairment in stroke patients underestimated by clinical scales but with an impact on patient functionality.Background Patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH), defined as World Federation of Neurosurgical Societies (WFNS) grades IV-V have high rates of disability and mortality. The objective of this study was to accurately prognosticate the outcomes of patients with poor-grade aSAH by developing a new scoring model. Methods A total of 147 poor-grade aSAH patients in our center were enrolled. Risk variables identified by multivariate logistic regression analysis were used to devise a scoring model (total score, 0-9 points). The scores were estimated on the basis of β coefficients. A cohort of 68 patients from another institute was used to validate the model. Results Multivariate logistic regression analysis revealed that modified Fisher grade >2 [odds ratio [OR], 2.972; P = 0.034], age ≥65 years (OR, 3.534; P = 0.006), conservative treatment (OR, 5.078; P = 0.019), WFNS grade V (OR, 2.638; P = 0.029), delayed cerebral ischemia (OR, 3.170; P = 0.016), shunt-dependent hydrocephalus (OR, 3.202; P = 0.032), and cerebral herniation (OR, 7.337; P less then 0.001) were significant predictors for poor prognosis [modified Rankin Scale [mRS] ≥3]. A scoring system was constructed by the integration of these factors and divided the poor-grade aSAH patients into three categories low risk (0-1 points), intermediate risk (2-3 points), and high risk (4-9 points), with predicted risks of poor prognosis of 11, 52, and 87%, respectively (P less then 0.001). The area under the curve in the derivation cohort was 0.844 (95% CI, 0.778-0.909). The AUC in the validation cohort was 0.831 (95% CI, 0.732-0.929). Conclusions The new scoring model can improve prognostication and help decision-making for subsequent complementary treatment in patients with aSAH.Although type 2 diabetes is a well-known risk factor for Alzheimer's disease (AD), little is known about how its precursor-prediabetes-impacts neuropsychological function and brain health. Thus, we examined the relationship between prediabetes and AD-related biological and cognitive/clinical markers in a well-characterized sample drawn from the Alzheimer's Disease Neuroimaging Initiative. Additionally, because women show higher rates of AD and generally more atherogenic lipid profiles than men, particularly in the context of diabetes, we examined whether sex moderates any observed associations. The total sample of 911 nondemented and non-diabetic participants [normal control = 540; mild cognitive impairment (MCI) = 371] included 391 prediabetic (fasting blood glucose 100-125 mg/dL) and 520 normoglycemic individuals (age range 55-91). Linear mixed effects models, adjusted for demographics and vascular and AD risk factors, examined the independent and interactive effects of prediabetes and sex on 2-6 year trajeResults suggest that prediabetes may affect cognition through altered brain metabolism, and that women may be more vulnerable to the negative effects of glucose intolerance.Introduction Guillain-Barre syndrome (GBS) is an acute immune-mediated inflammatory demyelinating polyneuropathy characterized by symmetrical limb weakness and areflexia. GBS can have different clinical manifestations; hence, the initial symptoms are also varied. Here, we describe a rare case of GBS presenting as hemiparesis and cranial nerve palsy, which mimic brainstem stroke. Case Presentation A 53-year-old man was admitted to the hospital with a 3-h history of left-arm weakness, glossolalia, and right eyelid droop. After admiss