In a pilot randomized controlled trial, we found administration of G-CSF to improve liver function and increase survival times in patients with severe AH, compared with standard therapy. We found no evidence for benefit of adding NAC to G-CSF. These findings require confirmation in larger trials. ClincialTrials.gov, number: NCT02971306.

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Treatment of Hepatitis C virus (HCV) in patients with severe renal insufficiency is cumbersome as sofosbuvir is mainly excreted by the kidneys. There is paucity of data on the use of sofosbuvir and NS5A inhibitors in these patients. We hereby report our experience of treating chronic hepatitis C in patients with severe renal insufficiency with full dose sofosbuvir and NS5A inhibitors. Forty-seven patients with severe renal insufficiency (on dialysis n = 39, predialysis n = 8) with HCV infection were treated between December 2015-August 2017 with full dose sofosbuvir with ledipasvir or daclatasvir for 12/24 weeks depending on the genotype and the presence or absence of cirrhosis. The distribution of HCV genotype was genotype 1 in 32 (68.1%), genotype 3 in 13 (27.7%) and 4 in 2 (4.3%) patients. Among 12 (25.5%) patients with cirrhosis, 7 (14.9%) were decompensated with ascites. All patients had end of treatment response, and sustained viral response at 12 weeks was achieved in 45 (95.7%) patients. There was significant improvement in liver stiffness at 3 months after treatment (8.8 (3.8-42) to 7.1 (3.3-24.1) kPa; (P = 0.047)). There was no change in haemoglobin and eGFR with treatment in predialysis group (haemoglobin- 10.2 ± 1.5 g/dL vs 9.6 ± 1.3 g/dL, P = 0.44; eGFR- 19.8 ± 9.4 mL/min vs 17.9 ± 8.5 mL/min, P = 0.67). Therapy was very well accepted. Full dose sofosbuvir with NS5A inhibitors is a well tolerated and effective therapy for HCV infection in severe renal insufficiency.

Mobile applications are becoming increasingly widespread and complex. Many of these applications suffer from usability issues, including information overload, screen clutter, lack of task support and limited interaction mechanisms. Adaptive user interfaces (AUIs) have been proposed to address some of these usability issues. The aim of this paper is to investigate how AUIs can improve the usability of mobile applications. This paper discusses several simple types of adaptation that have been shown to yield significant usability benefits for mobile applications. Two case studies are presented to illustrate how an AUI can be incorporated into different types of mobile applications. This paper also discusses the lessons learned from these case studies and presents some implications for designing adaptive systems in the future.

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