Publications by authors named "H Yagisawa"

Objectives: COVID-19 (Coronavirus Disease 2019) is now a global pandemic. Although children are said to have mild symptom, their clinical features are not known well. We conducted a retrospective study during initial term of pandemic to understand the difference of clinical features including clinical symptoms and patients' characteristics of COVID-19 children and those without COVID-19.

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Article Synopsis
  • * The study involved 905 treatment-naive CHB patients monitored for over six years, and identified key predictive factors for HCC, including older age, cirrhosis, lower platelet counts, and specific scores like the albumin-bilirubin (ALBI) and alpha-fetoprotein (AFP).
  • * The predictive models aMAP and REAL-B demonstrated strong accuracy (over 0.80 for predicting HCC at
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We report a 14-year-old girl with a heterozygous p. Gln403Arg variant in the gene, who had five episodes of encephalopathy. She experienced reduced consciousness, numbness in the arm, and impaired verbal communication from day 4 of SARS-CoV-2 infection.

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Background And Aim: The pathogenic process underlying the development of hepatocellular carcinoma (HCC) is not yet clear in patients with hepatitis C virus (HCV) who have received direct-acting antiviral (DAA) therapy and achieved sustained virological response (SVR). This study validated a composite predictive model for HCC in these patients.

Methods: This study included 3058 patients in whom HCV was eradicated with DAA therapy.

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The identification of patients with advanced fibrosis who do not need any further hepatocellular carcinoma (HCC) surveillance after the eradication of hepatitis C is pivotal. In this study, we developed a simple serum-based risk model that could identify patients with low-risk HCC. This was a nationwide multicenter study involving 16 Hospitals in Japan.

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