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Efficacy and Safety of All-oral Emitasvir and Sofosbuvir in Patients with Genotype 1b HCV Infections without Cirrhosis 被引量:3
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作者 Huiying Rao Xingxiang Yang +38 位作者 Youwen Tan Qin Ning Daokun Yang Jiefei Wang Yongfeng Yang Sujun Zheng Dongliang Yang Jinlin Hou Qing Xie Caiyan Zhao Lunli Zhang Xiaorong Mao Tong Sun Lang Bai Fuchun Zhang Jinglan Jin Yingren Zhao Maorong Wang Wen Xie Yingjie Ma Jun Quan Xuebing Yan Ping An Feng Lin Jidong Jia Xiaoxuan Hu Zuojiong Gong Jie Wu Yongping Chen Zhansheng Jia Minghua Lin Guiqiang Wang Yueyong Zhu Yingjun Zhang Hongming Xie Lin Luo qingyun ren Rui Huang Lai Wei 《Journal of Clinical and Translational Hepatology》 SCIE 2020年第3期255-261,共7页
Publications>Journals>Journal of Clinical and Translational Hepatology>Article Full Text ORIGINAL ARTICLE OPEN ACCESS Efficacy and Safety of All-oral Emitasvir and Sofosbuvir in Patients with Genotype 1b HCV ... Publications>Journals>Journal of Clinical and Translational Hepatology>Article Full Text ORIGINAL ARTICLE OPEN ACCESS Efficacy and Safety of All-oral Emitasvir and Sofosbuvir in Patients with Genotype 1b HCV Infections without Cirrhosis Huiying Rao1,Xingxiang Yang2,Youwen Tan3,Qin Ning4,Daokun Yang5,Jiefei Wang6,Yongfeng Yang7,Sujun Zheng8,Dongliang Yang9,Jinlin Hou10,Qing Xie11,Caiyan Zhao12,Lunli Zhang13,Xiaorong Mao14,Tong Sun15,Lang Bai16,Fuchun Zhang17,Jinglan Jin18,Yingren Zhao19,Maorong Wang20,Wen Xie21,Yingjie Ma22,Jun Quan23,Xuebing Yan24,Ping An25,Feng Lin26,Jidong Jia27,Xiaoxuan Hu28,Zuojiong Gong29,Jie Wu30,Yongping Chen31,Zhansheng Jia32,Minghua Lin33,Guiqiang Wang34,Yueyong Zhu35,Yingjun Zhang*,36,Hongming Xie36,Lin Luo36,Qingyun Ren36,Rui Huang1 and Lai Wei*,37 Author information Journal of Clinical and Translational Hepatology 2020;8(3):255-261DOI:10.14218/JCTH.2020.00031 Abstract Background and Aims:Emitasvir is a new type of hepatitis C virus(HCV)nonstructural protein 5A(NS5A)inhibitor,and the data of phase 2 trial has shown emitasvir-sofosbuvir to have good safety and tolerance.We conducted this phase 3 trial to further verify the efficacy and safety.Methods:We evaluated the antiviral activity and safety of a 12-week regimen of emitasvir phosphate(100 mg)combined with sofosbuvir(400 mg)once daily in non-cirrhotic patients with genotype 1 HCV infection.The primary endpoint was a sustained virological response at 12 weeks(SVR12)after the end of treatment.Results:Of the 362 patients enrolled in the trial,39.8%were male,99.2%had HCV genotype 1b,0.8%had genotype 1a and 79.8%were treatment-naïve.The average age was 47.2 years.All patients completed the treatment and follow-up.All 3 patients with genotype 1a achieved SVR.Two genotype 1b treatment-naïve patients experienced virologic relapse.The rate of SVR12 was 99.7%(358/359),and SVR24 was 99.4%(357/359)in genotype 1b.Overall,36.2%had resistance-associated substitutions(RASs)in NS5A and 98.3%had RASs in NS5B at baseline.The RASs at baseline had no effect on the rates of response.Serious adverse events were reported in 16 patients and were not related to emitasvir-sofosbuvir.Most adverse events did not require therapy.Conclusions:The 12 weeks of treatment with emitasvir-sofosbuvir was a highly efficient and safe treatment for a wide range of patients with HCV genotype 1b infection without cirrhosis,who had not been treated or who had been treated with interferon-based regimen previously. 展开更多
关键词 Hepatitis C virus Genotype 1 Direct acting antivirals Emitasvir Sofosbuvir Combination treatment
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Multispectral image denoising using sparse and graph Laplacian Tucker decomposition 被引量:1
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作者 Xiaoce Wu Bingyin Zhou +1 位作者 qingyun ren Wei Guo 《Computational Visual Media》 CSCD 2020年第3期319-331,共13页
Multispectral image denoising is a basic problem whose results affect subsequent processes such as target detection and classification.Numerous approaches have been proposed,but there are still many challenges,particu... Multispectral image denoising is a basic problem whose results affect subsequent processes such as target detection and classification.Numerous approaches have been proposed,but there are still many challenges,particularly in using prior knowledge of multispectral images,which is crucial for solving the illposed problem of noise removal.This paper considers both non-local self-similarity in space and global correlation in spectrum.We propose a novel low-rank Tucker decomposition model for removing the noise,in which sparse and graph Laplacian regularization terms are employed to encode this prior knowledge.It can jointly learn a sparse and low-rank representation while preserving the local geometrical structure between spectral bands,so as to better capture simultaneously the correlation in spatial and spectral directions.We adopt the alternating direction method of multipliers to solve the resulting problem.Experiments demonstrate that the proposed method outperforms the state-of-theart,such as cube-based and tensor-based methods,both quantitatively and qualitatively. 展开更多
关键词 SPARSE IMAGE SPECTRAL
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