We performed a retrospective analysis of renal function data of patients treated in the Hep-Net/International Delta Hepatitis Intervention Trial 1(HIDIT-1-trial), a European multicenter study to investigate the efficacy of 48 weeks of therapy with PegIFNa-2a+ADV vs either drug alone in 90 patients with chronic hepatitis B/D co-infection. Glomerular filtration rates (GFR) were calculated by CockcroftGault (CG), abbreviated Modification of Diet in Renal Disease (MDRD)
study and P5091 nmr Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. After 48 weeks of therapy GFR values were significantly lower in patients receiving adefovir-containing treatment vs PegIFNa-2a alone [mean difference 16.1 mL/min (CG) and 10.2 mL/min (MDRD), respectively, P < 0.05] while no differences were observed between
patients receiving adefovir alone vs combination treatment. Twenty-four weeks after treatment GFR values did not differ between treatment arms. A decrease in GFR =20% was observed more often in patients during adefovir-containing treatment vs PegIFNa-2a alone (P < 0.05) which was confirmed by KaplanMeier analysis. Adefovir-containing but not PegIFNa-2a treatment was associated with a decrease in GFR values in about one-fifth Vadimezan chemical structure of patients. Combination treatment of PegIFNa-2a+ADV in chronic hepatitis B/D co-infection did not lead to any further impairment of kidney function.”
“Background: The protective effect of physical activity (PA) on abdominal adiposity is unclear.
Objective: We examined whether PA independently predicted gains in body weight and abdominal adiposity.
Design: In a prospective cohort study [the EPIC (European Prospective Investigation into Cancer and Nutrition)], we followed 84,511 men and 203,987 women for 5.1 y. PA was assessed MK-2206 molecular weight by a validated questionnaire, and individuals were categorized into 4 groups (inactive, moderately inactive, moderately active, and active). Body weight and waist circumference were measured at baseline and self-reported at follow-up.
We used multilevel mixed-effects linear regression models and stratified our analyses by sex with adjustments for age, smoking status, alcohol consumption, educational level, total energy intake, duration of follow-up, baseline body weight, change in body weight, and waist circumference (when applicable).
Results: PA significantly predicted a lower waist circumference (in cm) in men (beta = -0.045; 95% CI: -0.057, -0.034) and in women (beta = -0.035; 95% CI: -0.056, -0.015) independent of baseline body weight, baseline waist circumference, and other confounding factors. The magnitude of associations was materially unchanged after adjustment for change in body weight. PA was not significantly associated with annual weight gain (in kg) in men (beta = -0.008; 95% CI: -0.02, 0.003) and women (beta = -0.01; 95% CI: -0.02, 0.0006).
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