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Health state utilities of patients with hepatitis B and C and hepatitis-related conditions in Japan. Sci Rep 2022; 12:17139. [PMID: 36229479 PMCID: PMC9561176 DOI: 10.1038/s41598-022-21470-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 09/27/2022] [Indexed: 01/04/2023] Open
Abstract
Health state utilities are global measurements of quality of life and have been used to evaluate health outcomes for the cost-utility analysis. This study aimed to estimate the health state utilities of patients with hepatitis B (HB), hepatitis C (HC), and hepatitis-related diseases in Japan. We distributed a self-administered questionnaire, including the EuroQol 5-Dimension 5-Level (EQ-5D-5L), to 9,952 outpatients with several clinical conditions caused by HB or HC virus infection (such as asymptomatic chronic hepatitis, chronic hepatitis, compensated cirrhosis, and decompensated cirrhosis) and estimated the condition-specific utilities of patients with HB or HC. In patients with more severe conditions (patients with acute hepatitis, fulminant hepatitis, and hepatocellular carcinoma and patients undergoing post-liver transplantation), the utilities of these severe conditions were estimated by three hepatitis experts using the EQ-5D-5L. The means of the utilities for acute hepatitis, fulminant hepatitis, asymptomatic chronic hepatitis, chronic hepatitis, compensated cirrhosis, compensated cirrhosis, hepatocellular carcinoma stage I/II, hepatocellular carcinoma stage III/IV, and post-liver transplantation were 0.529, - 0.111, 0.904, 0.868, 0.845, 0.722, 0,675, 0,428, and 0.651 and 0.876, 0.821, 0.737, 0.671, 0.675, 0.428, and 0.651 in HB and HC, respectively. To the best of our knowledge, this is the first study that comprehensively assessed the health state utilities of patients with HB, HC and hepatitis-related conditions from a nationwide survey in Japan using the EQ-5D-5L.
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Peng S, Wan Z, Liu T, Wang Y, Chen H, Li X, Du Y. Quantitative Hepatitis B Surface Antigen Predicts Hepatitis B Transmission in Infants Born to e Antigen-positive Mothers. J Clin Gastroenterol 2020; 54:76-82. [PMID: 30575631 DOI: 10.1097/mcg.0000000000001158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
GOALS This study aimed to explore whether quantitative surface antigen [hepatitis B surface antigen (HBsAg)] can be used as a surrogate marker of hepatitis B virus (HBV) DNA to predict hepatitis B transmission before the first hepatitis vaccine dose in infants born to hepatitis B e antigen (HBeAg)-positive pregnant women. BACKGROUND Currently, HBV transmission persistently occurs worldwide, especially in infants born to e antigen (HBeAg)-positive highly viremic mothers. However, due to high cost, the extensive use of viral load testing to identify these high-risk mothers is limited. MATERIALS AND METHODS In total of 275 HBeAg-positive pregnant women paired with 280 infants were enrolled in this study. Quantitative HBsAg and HBV DNA levels were measured in the third trimester. Spearman rank correlation was used to assess the correlation between HBsAg levels and viral load, and multivariate logistic regression to identify factors related to HBV transmission in infants. RESULTS Among 280 infants included, 15 (5.4%) infants were infected with HBV. In this study, we observed that quantitative HBsAg was positively correlated with maternal viral load (r=0.70, P<0.001) and highly predicted HBV transmission in infants born to HBeAg-positive mothers with area under the curve of 0.76 (95% confidence interval, 0.71-0.81). The optimum threshold HBsAg levels above 4.6 log10 IU/mL to predict HBV transmission in infants had a sensitivity of 80.0%, specificity of 67.9%. CONCLUSIONS Quantitative HBsAg could be used as a surrogate marker of HBV DNA levels to predict hepatitis B transmission occurring before the injection of first-dose vaccine in infants born to e antigen-positive mothers.
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Affiliation(s)
- Songxu Peng
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhihua Wan
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanni Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiu Li
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yukai Du
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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