The risk of dementia seems to be established already early in life, which leads to the question if overweight early in life is an important risk factor for dementia as it appears to be later in life. We examined the association between body mass index (BMI) at entry to adult life and subsequent risk of dementia in men and assessed whether the relationship differed by levels of intelligence and education. The study population consisted of 377,598 Danish men born 1939-1959 with measures of height, weight, intelligence test score (ITS), and educational level (EL) at conscript board examinations around the age of 19 years. Dementia outcomes were obtained from National Patient and Prescription Registries between 1969 and 2016. The association between BMI and dementia was analysed using Cox proportional hazard regression including interactions between BMI and ITS and EL, respectively. During the follow-up through age 77 years, 6144 (1.6%) developed dementia. The frequency was highest in men with lowest BMI, lowest ITS and lowest EL. Young adult BMI below the mean of 21.8 kg/m2 was inversely associated with subsequent dementia, whereas there was no association with higher levels of BMI. Adjustment for young adult ITS and EL attenuated the risk estimates slightly, and interaction analyses showed that the shape of the association between BMI and dementia was unaffected by the levels of ITS and EL. Regardless of levels of ITS and EL, young adult BMI below the mean is inversely associated with subsequent dementia, whereas there is no association with higher levels of BMI.The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Study (n = 5130), were analyzed. After a comprehensive genotype imputation, genetic risk score (GRS) was calculated from 1103 associated Single Nucleotide Polymorphisms for each participant. Data were normalized and split into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and logistic regression were used to develop prediction models for major osteoporotic fractures separately, with GRS, bone density, and other risk factors as predictors. In model training, the synthetic minority oversampling technique was used to account for low fracture rate, and tenfold cross-validation was employed for hyperparameters optimization. In the testing, the area under curve (AUC) and accuracy were used to assess the model performance. The McNemar test was employed to examine the accuracy difference between models. The results showed that the prediction performance of gradient boosting was the best, with AUC of 0.71 and an accuracy of 0.88, and the GRS ranked as the 7th most important variable in the model. The performance of random forest and neural network were also significantly better than that of logistic regression. This study suggested that improving fracture prediction in older men can be achieved by incorporating genetic profiling and by utilizing the gradient boosting approach. This result should not be extrapolated to women or young individuals.Amniotic fluid embolism (AFE) is a catastrophic condition in the peripartum period and still remains as a leading cause of maternal death. Although over 80% of cases of AFE cases are accompanied by coagulopathy, the pathology of disseminated intravascular coagulation is not well understood not only because of its rarity but also because of the limited availability of laboratory testing in emergent clinical settings. We describe a case of AFE whose characteristic data for coagulation and fibrinolysis were timely depicted with sequential thromboelastography. We believe that the point-of-care, which provides information for both coagulopathy and fibrinolysis, may provide crucial data not only for the treatment of postpartum hemorrhage in daily clinical practice but also for the elucidation of AFE pathophysiology.Anticoagulant treatment as stroke prevention, particularly direct oral anticoagulant (DOAC), may reduce the risk of dementia in patients with atrial fibrillation (AF). We aimed to assess factors influencing cognitive performance after 1-year treatment with DOAC in patients with AF and previous ischemic stroke.  https://www.selleckchem.com/products/piperaquine-phosphate.html  We recruited 33 ischemic stroke patients who were discharged from Verona Stroke Unit with diagnosis of AF and prescription of treatment with DOAC. For each cognitive test, we estimated the effect of T0 (first session) variables on T1 (1-year session) cognitive performance using ordinal logistic regression fitted to a 1 point-shift from 4 to 0 on ESs. The effect of T0 clinical variables was presented as odds ratio (OR) with 95% confidence interval (CI) after adjustment for T0 total score of the corresponding cognitive test. Sustained AF (OR 4.259, 95% CI 1.071-16.942) and ischemic heart disease (OR 6.654, 95% CI 1.329-33.300) showed a significant effect on T1 MoCA Test; congestive heart failure on T1 RAVdified Fazekas Scale score in the first session was the only radiological variable that had a significant effect on cognitive performance.There are uncertainties on the influence of the days of diagnosis in a week (weekends versus weekdays) on clinical outcomes in patients with acute venous thromboembolism (VTE), including pulmonary embolism (PE) and deep vein thrombosis (DVT). The COMMAND VTE registry is a multicenter cohort study enrolling 3027 consecutive patients with acute symptomatic VTE. The current study population consisted of 337 patients diagnosed on weekends and 2690 patients diagnosed on weekdays. We compared the clinical characteristics, management strategies and 30-day outcomes between the 2 groups. The patients diagnosed on weekends more often presented with PE (72% vs. 55%, P  less then  0.001), and with more severe hemodynamic condition for PE patients. The patients diagnosed on weekends more often received initial parenteral anticoagulation therapy and thrombolysis than those diagnosed on weekdays. The cumulative 30-day incidence of all-cause death was not significantly different between the two groups among PE patients (diagnosis on weekends 6.