Background and Aims:Hepatitis B virus(HBV)biomark-ers have been used for a better categorization of patients,even though the lack of simple algorithms and the impact of genotypes limit their application.Our aim was to...Background and Aims:Hepatitis B virus(HBV)biomark-ers have been used for a better categorization of patients,even though the lack of simple algorithms and the impact of genotypes limit their application.Our aim was to assess the usefulness of noninvasive markers for the identification of HBV inactive carriers(ICs)in a single-point evaluation and to design a predictive model for their identification.Meth-ods:This retrospective-prospective study included 343 consecutive HBeAg-negative individuals.Clinical,analytical,and virological data were collected,and a liver biopsy was performed if needed.Subjects were classified at the end of follow-up as ICs,chronic hepatitis B and gray zone.A pre-dictive model was constructed,and validated by 1000-boot-strap samples.Results:After 39 months of follow-up,298 subjects were ICs,36 were chronic hepatitis B CHB,and nine were gray zone.Eighty-nine(25.9%)individuals re-quired a liver biopsy.Baseline HBV DNA hazard ratio(HR)6.0,p<0.001),HBV core-related antigen(HBcrAg)(HR 6.5,p<0.001),and elastography(HR 4.6,p<0.001)were inde-pendently associated with the IC stage.The ACE score(HBV DNA,HBcrAg,elastography),obtained by bootstrapping,yielded an area under the receiver operating characteris-tics(AUROC)of 0.925(95%CI:0.880-0.970,p<0.001)for identification of ICs.The AUROC for genotype D was 0.95,0.96 for A,0.90 for E,and 0.88 for H/F.An ACE score of<1 had a positive predictive value of 99.5%,and a score≤12 points had a diagnostic accuracy of 93.8%.Conclusions:Low baseline HBV DNA,HBcrAg,and liver stiffness were in-dependently associated with the IC phase.A score including those variables identified ICs at a single-point evaluation,and might be applied to implement less intensive follow-up strategies.展开更多
基金This study received partial financial support from Instituto de Salud Carlos III(PI17/02233 and PI20/01692).
文摘Background and Aims:Hepatitis B virus(HBV)biomark-ers have been used for a better categorization of patients,even though the lack of simple algorithms and the impact of genotypes limit their application.Our aim was to assess the usefulness of noninvasive markers for the identification of HBV inactive carriers(ICs)in a single-point evaluation and to design a predictive model for their identification.Meth-ods:This retrospective-prospective study included 343 consecutive HBeAg-negative individuals.Clinical,analytical,and virological data were collected,and a liver biopsy was performed if needed.Subjects were classified at the end of follow-up as ICs,chronic hepatitis B and gray zone.A pre-dictive model was constructed,and validated by 1000-boot-strap samples.Results:After 39 months of follow-up,298 subjects were ICs,36 were chronic hepatitis B CHB,and nine were gray zone.Eighty-nine(25.9%)individuals re-quired a liver biopsy.Baseline HBV DNA hazard ratio(HR)6.0,p<0.001),HBV core-related antigen(HBcrAg)(HR 6.5,p<0.001),and elastography(HR 4.6,p<0.001)were inde-pendently associated with the IC stage.The ACE score(HBV DNA,HBcrAg,elastography),obtained by bootstrapping,yielded an area under the receiver operating characteris-tics(AUROC)of 0.925(95%CI:0.880-0.970,p<0.001)for identification of ICs.The AUROC for genotype D was 0.95,0.96 for A,0.90 for E,and 0.88 for H/F.An ACE score of<1 had a positive predictive value of 99.5%,and a score≤12 points had a diagnostic accuracy of 93.8%.Conclusions:Low baseline HBV DNA,HBcrAg,and liver stiffness were in-dependently associated with the IC phase.A score including those variables identified ICs at a single-point evaluation,and might be applied to implement less intensive follow-up strategies.
