Treatment responses and outcomes in patients with autoimmune hepatitis and concomitant features of non-alcoholic fatty liver disease
Bibliographic record
Abstract
Background & Aims Non-alcoholic fatty liver disease (NAFLD) and steatohepatitis (NASH) affect 17–46% of Western countries, making coexistence with other liver diseases inevitable. We investigated the prevalence and clinical significance of NAFLD/NASH or the components of metabolic syndrome (MetS) in a large multicentric cohort of patients with autoimmune hepatitis (AIH). Methods Data from six academic centres (Greece, Canada, Japan, Germany, The Netherlands, and Spain) were evaluated. The presence of NAFLD/NASH in liver biopsy, MetS components, and clinical and laboratory parameters were recorded. Results A total of 640 patients (474 females, age 49 [4–87] years; follow-up 78 [1–521] months) were included. NAFLD was present in 146 (22.8%) patients (AIH/non-alcoholic fatty liver [NAFL] 115 [18%], AIH/NASH 31 [4.8%]). AIH/NAFL patients were older ( p = 0.017), more frequently overweight or obese ( p = 0.002), had hypertension ( p = 0.001), and had diabetes ( p = 0.016), whereas they less frequently had acute presentation ( p = 0.002) and soluble liver antigen/liver pancreas positivity ( p <0.05), lower transaminases ( p <0.001), ALP ( p = 0.028) and IgG ( p = 0.004) and higher albumin ( p <0.001) than patients with AIH only. Patients with AIH/NASH more frequently had cirrhosis at diagnosis ( p = 0.036) and higher IgG ( p = 0.009). Response to treatment did not differ between groups. Patients with cirrhosis with AIH/NAFL had higher frequency of decompensation compared with patients with AIH only ( p <0.05). Patients with type 2 diabetes mellitus and dyslipidaemia had increased hazard of disease progression ( p <0.05 for each). Conclusions The prevalence of NAFLD in AIH is similar to the general population. Concurrence of NASH in patients with AIH signifies a more severe disease, whereas that of NAFL may indicate a worse prognosis in patients with cirrhosis. T2DM and dyslipidaemia in AIH patients are associated with dismal parameters of outcome. Our findings suggest that NAFLD presence or even components of MetS in patients with AIH may affect prognosis, so closer follow-up of such patients is warranted. Impact and implications Non-alcoholic fatty liver disease (NAFLD) and steatohepatitis (NASH) affect many people, making coexistence with other liver diseases inevitable. We investigated the prevalence and clinical significance of NAFLD/NASH or the components of metabolic syndrome (MetS) in patients with autoimmune hepatitis (AIH). NAFLD and NASH presence in patients with AIH is as frequent as in the general population. The concurrence of NASH in patients with AIH seems to signify a more severe disease, whereas that of non-alcoholic fatty liver may indicate a worse prognosis in a specific subgroup of patients who already have cirrhosis at diagnosis. Diabetes or dyslipidaemia in patients with AIH were associated with worse prognosis. Therefore, it seems that closer follow-up of patients with concurrent AIH and NAFLD or AIH and components of MetS is needed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".