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  • Title: Patient selection based on treatment duration and liver biochemistry increases success rates after treatment withdrawal in autoimmune hepatitis.
    Author: Hartl J, Ehlken H, Weiler-Normann C, Sebode M, Kreuels B, Pannicke N, Zenouzi R, Glaubke C, Lohse AW, Schramm C.
    Journal: J Hepatol; 2015 Mar; 62(3):642-6. PubMed ID: 25457202.
    Abstract:
    BACKGROUND & AIMS: In autoimmune hepatitis (AIH), relapse rates as high as 90% have been reported after treatment withdrawal. We therefore investigated, whether longer duration of treatment and proper patient selection could increase the long-term success rates after treatment withdrawal. METHODS: Following our previously published experience, treatment withdrawal was considered when biochemical remission was maintained under immunosuppressive monotherapy for at least 2 years. Remission was defined as repeatedly normal serum aminotransferase levels as well as normal IgG levels. RESULTS: Out of 288 patients with well-defined AIH, 28 patients were included. Median duration of treatment was 48.5 months (range 35-179) and a sustained remission was observed for 45 months (range 24-111). All patients were in remission on immunosuppressive monotherapy for a minimum of 2 years before treatment was withdrawn. Using this strict approach, 15 patients (54%) remained in long-term remission after a median of 28 months follow-up (range 17-57) and 13 patients (46%) required reinstitution of treatment. Higher ALT and IgG levels - although within the normal range in all patients--were associated with the time to relapse. All patients who remained in remission had ALT levels less than half the ULN and IgG levels not higher than 12 g/L at the time of treatment withdrawal. CONCLUSIONS: Proper patient selection including a sustained complete biochemical remission on immunosuppressive monotherapy for a minimum of 2 years can markedly improve the success rates of treatment withdrawal. The interpretation of aminotransferase and IgG levels within the normal range could aid in predicting the risk of relapse.
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