Objective To explore the predictive value of baseline HBs Ag level and early response for HBs Ag loss in patients with HBe Ag-positive chronic hepatitis B during pegylated interferon alpha-2a treatment. Methods A tota...Objective To explore the predictive value of baseline HBs Ag level and early response for HBs Ag loss in patients with HBe Ag-positive chronic hepatitis B during pegylated interferon alpha-2a treatment. Methods A total of 121 patients with HBe Ag-positive chronic hepatitis B who achieved HBs Ag loss were enrolled; all patients were treated with PEG-IFNα-2a 180 μg/week. Serum HBV DNA and serological indicators (HBs Ag, anti-HBs, HBe Ag, and anti-HBe) were determined before and every 3 months during treatment. Results The median treatment time for HBs Ag loss was 84 weeks (7-273 weeks), and 74.38% (90 cases) of the patients needed extended treatment (〉 48 weeks). The correlation between baseline HBs Ag levels and the treatment time of HBs Ag loss was significant (B = 14.465, t = 2.342, P = 0.021). Baseline HBs Ag levels together with the decline range of HBs Ag at 24 weeks significantly correlated with the treatment time of HBs Ag loss (B = 29.862, t = 4.890, P = 0.000 and B = 27.993, t = 27.993, P = 0.005). Conclusion Baseline HBs Ag levels and extended therapy are critical steps toward HBs Ag loss. Baseline HBs Ag levels together with early response determined the treatment time of HBs Ag loss in patients with HBe Ag-positive chronic hepatitis B during pegylated interferon alpha-2a treatment.展开更多
Objective: Hepatocellular carcinoma(HCC) development among hepatitis B surface antigen(HBs Ag) carriers shows gender disparity, influenced by underlying liver diseases that display variations in laboratory tests. We a...Objective: Hepatocellular carcinoma(HCC) development among hepatitis B surface antigen(HBs Ag) carriers shows gender disparity, influenced by underlying liver diseases that display variations in laboratory tests. We aimed to construct a risk-stratified HCC prediction model for HBs Ag-positive male adults.Methods: HBs Ag-positive males of 35-69 years old(N=6,153) were included from a multi-center populationbased liver cancer screening study. Randomly, three centers were set as training, the other three centers as validation. Within 2 years since initiation, we administrated at least two rounds of HCC screening using Bultrasonography and α-fetoprotein(AFP). We used logistic regression models to determine potential risk factors,built and examined the operating characteristics of a point-based algorithm for HCC risk prediction.Results: With 2 years of follow-up, 302 HCC cases were diagnosed. A male-ABCD algorithm was constructed including participant's age, blood levels of GGT(γ-glutamyl-transpeptidase), counts of platelets, white cells,concentration of DCP(des-γ-carboxy-prothrombin) and AFP, with scores ranging from 0 to 18.3. The area under receiver operating characteristic was 0.91(0.90-0.93), larger than existing models. At 1.5 points of risk score,26.10% of the participants in training cohort and 14.94% in validation cohort were recognized at low risk, with sensitivity of identifying HCC remained 100%. At 2.5 points, 46.51% of the participants in training cohort and 33.68% in validation cohort were recognized at low risk with 99.06% and 97.78% of sensitivity, respectively. At 4.5 points, only 20.86% of participants in training cohort and 23.73% in validation cohort were recognized at high risk,with positive prediction value of 22.85% and 12.35%, respectively.Conclusions: Male-ABCD algorithm identified individual's risk for HCC occurrence within short term for their HCC precision surveillance.展开更多
基金supported by Beijing Science and Technology Commission(No.D121100003912001)Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding,Support(No.ZY201402)
文摘Objective To explore the predictive value of baseline HBs Ag level and early response for HBs Ag loss in patients with HBe Ag-positive chronic hepatitis B during pegylated interferon alpha-2a treatment. Methods A total of 121 patients with HBe Ag-positive chronic hepatitis B who achieved HBs Ag loss were enrolled; all patients were treated with PEG-IFNα-2a 180 μg/week. Serum HBV DNA and serological indicators (HBs Ag, anti-HBs, HBe Ag, and anti-HBe) were determined before and every 3 months during treatment. Results The median treatment time for HBs Ag loss was 84 weeks (7-273 weeks), and 74.38% (90 cases) of the patients needed extended treatment (〉 48 weeks). The correlation between baseline HBs Ag levels and the treatment time of HBs Ag loss was significant (B = 14.465, t = 2.342, P = 0.021). Baseline HBs Ag levels together with the decline range of HBs Ag at 24 weeks significantly correlated with the treatment time of HBs Ag loss (B = 29.862, t = 4.890, P = 0.000 and B = 27.993, t = 27.993, P = 0.005). Conclusion Baseline HBs Ag levels and extended therapy are critical steps toward HBs Ag loss. Baseline HBs Ag levels together with early response determined the treatment time of HBs Ag loss in patients with HBe Ag-positive chronic hepatitis B during pegylated interferon alpha-2a treatment.
基金supported by State Key Projects Specialized on Infectious Diseases (No. 2017ZX10201201-006)Key research projects for precision medicine (No. 2017YFC0908103)+1 种基金Innovation Fund for Medical Sciences of Chinese Academy of Medical Sciences (CIFMS, No. 2019-I2M-2-004, 2016-I2M-1-007, 2019-I2M-1-003)National Natural Science Foundation Fund (No. 81972628, No. 81974492)。
文摘Objective: Hepatocellular carcinoma(HCC) development among hepatitis B surface antigen(HBs Ag) carriers shows gender disparity, influenced by underlying liver diseases that display variations in laboratory tests. We aimed to construct a risk-stratified HCC prediction model for HBs Ag-positive male adults.Methods: HBs Ag-positive males of 35-69 years old(N=6,153) were included from a multi-center populationbased liver cancer screening study. Randomly, three centers were set as training, the other three centers as validation. Within 2 years since initiation, we administrated at least two rounds of HCC screening using Bultrasonography and α-fetoprotein(AFP). We used logistic regression models to determine potential risk factors,built and examined the operating characteristics of a point-based algorithm for HCC risk prediction.Results: With 2 years of follow-up, 302 HCC cases were diagnosed. A male-ABCD algorithm was constructed including participant's age, blood levels of GGT(γ-glutamyl-transpeptidase), counts of platelets, white cells,concentration of DCP(des-γ-carboxy-prothrombin) and AFP, with scores ranging from 0 to 18.3. The area under receiver operating characteristic was 0.91(0.90-0.93), larger than existing models. At 1.5 points of risk score,26.10% of the participants in training cohort and 14.94% in validation cohort were recognized at low risk, with sensitivity of identifying HCC remained 100%. At 2.5 points, 46.51% of the participants in training cohort and 33.68% in validation cohort were recognized at low risk with 99.06% and 97.78% of sensitivity, respectively. At 4.5 points, only 20.86% of participants in training cohort and 23.73% in validation cohort were recognized at high risk,with positive prediction value of 22.85% and 12.35%, respectively.Conclusions: Male-ABCD algorithm identified individual's risk for HCC occurrence within short term for their HCC precision surveillance.