Diagnostics in hepatitis C: The end of response-guided therapy?

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Diagnostics in hepatitis C: The end of response-guided therapy? Benjamin Maasoumy, Johannes Vermehren  Journal of Hepatology  Volume 65, Issue 1, Pages S67-S81 (October 2016) DOI: 10.1016/j.jhep.2016.07.023 Copyright © 2016 European Association for the Study of the Liver Terms and Conditions

Fig. 1 Summary of different HCV RNA levels during antiviral therapy. The limit of blank (LOB) represents the threshold where no PCR amplification is possible. The limit of detection (LOD) represents the lowest HCV RNA level detected ⩾95% of the time as a positive PCR signal. The lower limit of quantification (LLOQ) represents the lowest HCV RNA levels that lies within the linear range of the respective assay. Journal of Hepatology 2016 65, S67-S81DOI: (10.1016/j.jhep.2016.07.023) Copyright © 2016 European Association for the Study of the Liver Terms and Conditions

Fig. 2 Motivation for response-guided therapy (RGT) in the era of interferon-based therapy vs. direct-acting antiviral (DAA) therapy. Changing motivation for RGT: From SVR being the highest priority in the era of interferon-based therapies to a reduction in treatment costs being the highest motivator with current highly efficacious DAAs. Journal of Hepatology 2016 65, S67-S81DOI: (10.1016/j.jhep.2016.07.023) Copyright © 2016 European Association for the Study of the Liver Terms and Conditions

Fig. 3 One size fits all vs. individualized treatment. The model is based on the assumption that a fictional HCV population consists of three different groups: an easy-to-treat group, a standard group and a difficult-to-treat group. Using the same DAA regimen different minimal treatment duration is needed for each group to achieve SVR in the majority of patients. If one standard duration is used for all patients this results either in overtreatment of the easier to treat cohorts or in a suboptimal therapy in the more difficult-to-treat groups. Individualized treatment duration in each of the three groups reduces overtreatment without compromising SVR rates. Journal of Hepatology 2016 65, S67-S81DOI: (10.1016/j.jhep.2016.07.023) Copyright © 2016 European Association for the Study of the Liver Terms and Conditions

Fig. 4 Impact of SVR rates on predictive value of on-treatment HCV RNA. The value of SVR predictors diminishes with the proportion of patients achieving SVR. In this model an on-treatment HCV RNA cut-off is able to identify SVR patients with a sensitivity of 70% and a specificity of 70%. If the overall SVR rate was 50%, patients with an on-treatment HCV RNA result below the cut-off would achieve SVR in 70% compared to only 30% among those with an HCV RNA result above the selected cut-off. The difference between the two groups is 40% (relative risk 2,3). This difference diminishes to 32% (relative risk 1,6) and 9% (relative risk 1,1) if the overall SVR rate is 75% and 95%, respectively. Journal of Hepatology 2016 65, S67-S81DOI: (10.1016/j.jhep.2016.07.023) Copyright © 2016 European Association for the Study of the Liver Terms and Conditions

Fig. 5 Possible algorithms for response-guided strategies in the DAA era. Among the easy-to-treat group patients are identified who achieve SVR in >70% if they are treated for 4 or 6weeks with a potent IFN-free regimen. Selection of patients is could be based on different baseline parameters like the presence of resistant-associated variants (RAVs), gender or baseline viral load. At day 2 of therapy on-treatment HCV RNA is used to predict SVR. Only patients with a predicted SVR rate >90% continue in the RGT arm. The remaining patients are treated for the standard duration (e.g., 12weeks). At week 2 on-treatment HCV RNA is used again to predict SVR. Patients that are predicted to achieve SVR in less than 95% after the ultra-short regimen are treated for the standard duration (A). In difficult-to-treat patients a similar approach is used. Patients that may not need RBV or a second DAA or those who might be cured with the standard treatment duration are selected using baseline predictors. At day 2 and week 2 on-treatment HCV RNA is used as response predictor. The respective HCV RNA cut-offs need to identify patients with lower SVR chances in whom a second DAA or RBV can be added or treatment duration needs to be expanded (B). Journal of Hepatology 2016 65, S67-S81DOI: (10.1016/j.jhep.2016.07.023) Copyright © 2016 European Association for the Study of the Liver Terms and Conditions