1013 The Effect of Steatosis on the Clinical Course of Autoimmune Hepatitis
Bibliographic record
Abstract
INTRODUCTION: Nonalcoholic Fatty Liver Disease (NAFLD) is a common liver disease in western developed countries. NAFLD is increasingly encountered alongside other chronic liver diseases, such as autoimmune hepatitis (AIH). The impact of NAFLD on the clinical course of AIH is unclear and one recent single center study suggested a worse clinical outcome for patients with AIH and concurrent steatohepatitis. We aimed to determine the frequency of steatosis and steatohepatitis in patients with AIH and the effect on treatment outcomes. METHODS: The cohort consisted of 61 AIH patients from a single, large, tertiary referral center with pre-treatment liver biopsies and available clinical data. Biliary overlap syndromes were excluded. Two liver pathologists recorded histological findings, including quantification of steatosis and steatohepatitis. One clinical reviewer recorded 96 clinical/laboratory variables. Non-parametric (Spearman rho) tests were used and correlations with P < 0.05 were deemed significant. Non parametric t-tests were used to compare various degrees of steatosis (none, mild/moderate) with clinical variables and P < 0.05 were deemed significant. RESULTS: Patients were followed for mean of 3.1 ± 3 years after diagnosis. Mean age at diagnosis was 49.9 ± 19.1 years and mean BMI at diagnosis was 28.3 ± 7. In this cohort, 31.7% of patients had steatosis on histology, and out of those 75.0% had mild and 25.0% had moderate degree of steatosis. Strikingly, there were no cases of steatohepatitis. The degree of steatosis was positively correlated with increasing age and BMI, (r = 0.44, CI 0.17-0.65, P ≤ 0.001and r = 0.49, CI 0.15-0.73, P = 0.01, respectively). However, there was no correlation between degree of steatosis and initial treatment failure, ALT at 12 months of treatment, chances of biochemical remission, development of cirrhosis, or the dose of steroid required for biochemical remission. Furthermore, there was no difference in these outcomes when those with versus without steatosis were compared. CONCLUSION: Data from this single center study suggest that AIH patients with mild and moderate steatosis have the same clinical course and response to treatment as those without steatosis.. The increasing prevalence of superimposed NAFLD in AIH warrants longitudinal observational multi-center studies focused on the frequency of steatohepatitis, and the impact of steatosis on the natural history of AIH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".