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E-Cigarette or even Vaping Linked Respiratory Damage: Developing Danger in order to Wholesome Adolescents.
What is New • Children with an underlying medical condition and those from an African American or mixed race/ethnicity are at high risk for COVID-19 hospitalization. • History of a comorbidity supersedes age, gender, and race/ethnicity as a risk factor for in-hospital pediatric COVID-19 death.The pulmonary function of patients with cystic fibrosis (CF) is associated with nutritional status not only expressed as body mass index (BMI) but also as fat-free mass index (FFMI). This study evaluated the effect of a residential rehabilitation program on nutritional status (BMI, FFMI). The rehabilitation program provided supervised respiratory and nutritional treatment and daily physical activity for 3 weeks (median stay 20 (19-25) days). At the start and the end of the program, weight, height, pulmonary function, and body composition using dual-energy X-ray absorptiometry were prospectively collected. Supervised weighed food records were obtained, and physical activity intensity was measured using a SenseWear Pro3 Armband. CF-related complications were collected from the patient. Thirty-four patients (21 males, median age 18 years old (12-27)) were included. The diet contained a median of 30 EN% fat, 16 EN% protein, and 52 EN% of carbohydrates. A significant median weight gain (+1.45 kg (0.58; 2.6) (p less then 0.0001) and a significant increase in BMI (+0.24 kg/m2 (0.11; 0.38)) (p less then 0.0001), FFMI (+0.26 kg/m2 (0.01; 0.55)) (p less then 0.0001), and FMI (+0.19 kg/m2 (0.04; 0.41)) (p less then 0.0001) were obtained.Conclusion A short rehabilitation program in individuals with CF between 6 and 40 years old is able to improve nutritional status and body composition.Trial registration NCT04527796 What is Known • Fat-free mass depletion is frequently present in CF. • In CF pulmonary function is associated with nutritional status measured as body mass index but also fat-free mass index. What is New • Nutritional status and body composition improve significantly after a short-term rehabilitation program. • The rehabilitation program was able to improve nutritional outcome even with a diet containing less fat than currently advised in the guidelines.The brain-derived neurotrophic factor (BDNF) has many important roles in neurogenesis and neuronal health. BDNF is also involved in learning and memory. Individuals with BDNF-Val66Met variant (Met +) are at higher risk for neuropsychiatric disorders and have smaller hippocampi and amgydalae compared to those without this variant (Met -). Whether these smaller brain volumes are already present at birth is unknown and were evaluated. 66 newborn infants were genotyped for BDNF-rs6265 and had brain MRI scans. The T1-weighted images were automatically parcellated for hippocampus and amygdala, as well as the intracranial volume (ICV), total brain volume, total gray and white matter, using a multi-atlas label fusion method implemented in the MRICloud ( https//braingps.anatomyworks.org ). The segmented brain volumes were normalized to the ICV for group comparisons. The two infant groups were not different in their demographics and birth characteristics. However, compared to Met - infants, the Met + infants had smaller hippocampi (p = 0.013), smaller amygdalae (p = 0.041), and less steep age-related declines in total brain volume and % white matter volume. The smaller relative hippocampal and amygdala volumes in Met + infants suggest that the Met + genotype affected prenatal developmental processes. In addition, the slower age-dependent declines in the relative total brain and white matter volumes of the Met + group in this cross-sectional dataset suggest the BDNF-Val66Met variant might have an ongoing negative influence on the postnatal developmental processes.Resting state functional connectivity research has shown that general cognitive ability (GCA) is associated with brain resilience to targeted and random attacks (TAs and RAs). However, it remains to be seen if the finding generalizes to structural connectivity. Furthermore, individuals showing performance levels at the very high area of the GCA distribution have not yet been analyzed in this regard. Here we study the relation between TAs and RAs to structural brain networks and GCA. Structural and diffusion-weighted MRI brain images were collected from 189 participants 60 high cognitive ability (HCA) and 129 average cognitive ability (ACA) individuals. All participants completed a standardized fluid reasoning ability test and the results revealed an average HCA-ACA difference equivalent to 33 IQ points. Automated parcellation of cortical and subcortical nodes was combined with tractography to achieve an 82 × 82 connectivity matrix for each subject. Graph metrics were derived from the structural connectivity matrices. A simulation approach was used to evaluate the effects of recursively removing nodes according to their network centrality (TAs) versus eliminating nodes at random (RAs). HCA individuals showed greater network integrity at baseline and prior to network collapse than ACA individuals. These effects were more evident for TAs than RAs. The networks of HCA individuals were less degraded by the removal of nodes corresponding to more complex information processing stages of the PFIT network, and from removing nodes with larger empirically observed centrality values. Analyzed network features suggest quantitative instead of qualitative differences at different levels of the cognitive ability distribution.
To identify clinical and imaging biomarkers that can predict the new onset of diabetes mellitus (NODM) within 1year of pancreatic resection.

A retrospective chart review was conducted of 426 non-diabetic patients who underwent a pancreaticoduodenectomy or distal pancreatectomy at the University of Pittsburgh Medical Center between 2006 and 2016. Clinical characteristics and the patient's diabetic status at 1-year post resection were collected from the EMR. Imaging biomarkers included hepatic and pancreatic fat replacement, pancreatic calcifications, pancreatic duct diameter, pancreatic volume and body composition. Univariate and multivariable analyses were performed to demonstrate any predictive biomarkers of diabetes occurrence within 1year of pancreatic resection.

135/426 (31.7%) patients developed NODM. The only significant clinical predictor was older age (OR 1.02, 95% CI 1.002-1.039, p = 0.032). check details Imaging characteristics found to be significant included hepatic steatosis (OR 1.777, 95% CI 1.094-2.886, p = 0.
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