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634, p  less then  0.001, ρ = 0.516, p = 0.002, respectively) and had a negligible or weak correlation with body mass index (BMI), BMI standard deviation score (SDS), waist circumference (WC), fasting insulin, homeostatic model assessment of insulin resistance (HOMA-IR), serum triglyceride, low-density lipoprotein (LDL), high-density lipoprotein (HDL) and total cholesterol levels. The sensitivity and specificity of USG in the diagnosis of NAFLD were 81% (95% confidence interval 54%-95%) and 50% (27%-73%), respectively. The MR fat fraction had a moderate positive correlation with ultrasound grades of fatty liver (ρ = 0.487, p = 0.003). Conclusions Serum ALT and AST are potential biochemical markers to assess the degree of hepatic steatosis in NAFLD, which needs validation in further studies. USG can be used as a screening tool for NAFLD, but the diagnosis should be confirmed by estimating the MR fat fraction.Background Progranulin (PGRN) is implicated in obesity and insulin resistance (IR). The aim of this study was to evaluate the effects of 8 weeks of circuit resistance training (CRT) on plasma PGRN, IR and body composition in obese men. Materials and methods Twenty-eight healthy obese men [age 36 ± 7.7 years, body weight (BW) 96.4 ± 15.6 kg, body mass index (BMI) 32.4 ± 4.5 kg/m2] completed the study. Subjects were randomly assigned to two groups of control and training. Subjects in the training group underwent training for 8 weeks, 3 times a week. Blood samples and anthropometric characteristics were taken before the commencement of the exercise protocol and 72 h after the last training session. The homeostatic model assessment of insulin resistance (HOMA-IR) was used to measure IR. Results BW, BF%, BMI, waist-hip ratio (WHR), HOMA-IR and plasma PGRN levels except lean body mass (LBM) were significantly reduced in the training group (p less then 0.05). Additionally, except for LBM, subjects in the training group had significantly decreased BW, BF%, BMI, WHR, HOMA-IR and plasma PGRN levels compared to changes in those in the control group (p less then 0.05). Significant correlations were found between the changes in plasma PGRN and the changes in insulin, HOMA-IR and BMI (p less then 0.05). Conclusions The findings showed that 8 weeks of CRT improved body composition and IR which were accompanied by reduced plasma PGRN levels. This study suggests that CRT has the potential for obese individuals to counteract obesity-associated health impairments.The genealogy of graduate medical education in America begins at the bedside. However, today’s graduate medical trainees work in a training environment that is vastly different from medical training a century ago. The goal of the Graduate Medical Education Laboratory (GEL) Study, supported by the American Medical Association’s (AMA) “Reimagining Residency” initiative, is to determine the factors in the training environment that most contribute to resident well-being and developing diagnostic skills. We believe that increasing time at the bedside will improve clinical skill, increase professional fulfillment, and reduce workplace burnout. Our graduate medical education laboratory will test these ideas to understand which interventions can be shared among all training programs. Through the GEL Study, we aim to ensure resident readiness for practice as we understand, then optimize, the learning environment for trainees and staff.Background Evidence-based evaluation of laboratory performances including pre-analytical, analytical and post-analytical stages of the total testing process (TTP) is crucial to ensure patients receiving safe, efficient and effective care. To conduct risk assessment, quality management tools such as Failure Mode and Effect Analysis (FMEA) and the Failure Reporting and Corrective Action System (FRACAS) were constantly used for proactive or reactive analysis, respectively. However, FMEA and FRACAS faced big challenges in determining the scoring scales and failure prioritization in the assessment of real-world cases. Here, we developed a novel strategy, by incorporating Sigma metrics into risk assessment based on quality indicators (QIs) data, to provide a more objective assessment of risks in TTP. Methods QI data was collected for 1 year and FRACAS was applied to produce the risk rating based on three variables (1) Sigma metrics for the frequency of defects; (2) possible consequence; (3) detection method. The risk priority number (RPN) of each QI was calculated by a 5-point scale score, where a value of RPN > 50 was rated as high-risk. Results The RPNs of two QIs in post-analytical phase (TAT of Stat biochemistry analyte and Timely critical values notification) were above 50 which required rigorous monitoring and corrective actions to eliminate the high risks. Nine QIs (RPNs between 25 and 50) required further investigation and monitoring. After 3 months of corrective action the two identified high-risk processes were successfully reduced. Conclusions The strategy can be implemented to reduce identified risk and assuring patient safety.in English, French, Le but de cette étude était de montrer les températures de surface dans la zone de tête chez 28 veaux femelles Holstein allemandes autour de la période d’écornage en utilisant la thermographie. À cette fin, les animaux étudiés ont été divisés en deux groupes (1 écornage thermique (thermE), N = 14; 2 pseudo-écornage (ScheinE), N = 14). EGF816 research buy À neuf reprises (- 60 [valeur au repos], 0, 5, 30, 60, 90, 120, 240, 480 min) des mesures thermographiques ont été effectuées à huit endroits dans la zone de la tête (environs du bourgeon de corne gauche (UliHa), bourgeon de corne gauche (liHa), œil gauche (liAu), mufle (FM), muqueuse nasale (SHFM), œil droit (reAu), bourgeon de corne droite (reHa), environs du bourgeon de corne droit (UreHa)). Ces mesures ont été réalisés à l’aide d’une caméra d’imagerie thermique haut de gamme (ThermoPro TP8, société DIAS Infrared GmbH). De plus, la température interne du corps (ICT) a été enregistrée par voie rectale aux minutes – 60, 5, 240 et 480. L’évaluation statistique de chaque caractéristique a été effectuée avec SAS, version 9.