Identifying the early predictors of non-response to steroids in patients with flare of autoimmune hepatitis causing acute-on-chronic liver failure
Background and aims Early identification of non-response to steroids is critical in patients with autoimmune hepatitis (AIH) causing acute-on-chronic liver failure (ACLF). We assessed if this non-response can be accurately identified within first few days of treatment. Methods Patients with AIH-ACLF...
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Veröffentlicht in: | Hepatology international 2023-08, Vol.17 (4), p.989-999 |
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Sprache: | eng |
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Zusammenfassung: | Background and aims
Early identification of non-response to steroids is critical in patients with autoimmune hepatitis (AIH) causing acute-on-chronic liver failure (ACLF). We assessed if this non-response can be accurately identified within first few days of treatment.
Methods
Patients with AIH-ACLF without baseline infection/hepatic encephalopathy were identified from APASL ACLF research consortium (AARC) database. Diagnosis of AIH-ACLF was based mainly on histology. Those treated with steroids were assessed for non-response (defined as death or liver transplant at 90 days for present study). Laboratory parameters, AARC, and model for end-stage liver disease (MELD) scores were assessed at baseline and day 3 to identify early non-response. Utility of dynamic SURFASA score [− 6.80 + 1.92*(D0-INR) + 1.94*(∆%3-INR) + 1.64*(∆%3-bilirubin)] was also evaluated. The performance of early predictors was compared with changes in MELD score at 2 weeks.
Results
Fifty-five out of one hundred and sixty-five patients (age—38.2 ± 15.0 years, 67.2% females) with AIH-ACLF [median MELD 24 (IQR: 22–27); median AARC score 7 (6–9)] given oral prednisolone 40 (20–40) mg per day were analyzed. The 90 day transplant-free survival in this cohort was 45.7% with worse outcomes in those with incident infections (56% vs 28.0%,
p
= 0.03). The AUROC of pre-therapy AARC score [0.842 (95% CI 0.754–0.93)], MELD [0.837 (95% CI 0.733–0.94)] score and SURFASA score [0.795 (95% CI 0.678–0.911)] were as accurate as ∆MELD at 2 weeks [0.770 (95% CI 0.687–0.845),
p
= 0.526] and better than ∆MELD at 3 days [0.541 (95% CI 0.395, 0.687),
p
6, MELD score > 24 with SURFASA score ≥ − 1.2, could identify non-responders at day 3 (concomitant— 75% vs either − 42%,
p
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ISSN: | 1936-0533 1936-0541 |
DOI: | 10.1007/s12072-023-10482-4 |