Treatment responses and outcomes in patients with autoimmune hepatitis and concomitant features of non-alcoholic fatty liver disease
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Notice bibliographique
Résumé
•NAFLD and NASH prevalence in patients with AIH is similar to that of the general population.•The presence of concomitant AIH and diabetes or dyslipidaemia may affect prognosis.•Patients with AIH/NASH more frequently have cirrhosis at diagnosis.•The presence of NAFLD does not affect response to treatment of patients with AIH.•The presence of overweight or obesity, or diabetes at diagnosis independently predicts AIH/NAFLD. Background & AimsNon-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).MethodsData 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.ResultsA 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).ConclusionsThe 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 implicationsNon-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. 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). 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. 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). 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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle