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Background & aims: Diabetes mellitus is a major risk factor for fatty liver disease development and progression. A novel machine learning method identified five clusters of patients with diabetes, with different characteristics and risk of diabetic complications using six clinical and biological variables. We evaluated whether this new classification could identify individuals with an increased risk of liver-related complications. Methods: We used a prospective cohort of patients with a diagnosis of type 1 or type 2 diabetes without evidence of advanced fibrosis at baseline recruited between 2000 and 2020. We assessed the risk of each diabetic cluster of developing liver-related complications (i.e. ascites, encephalopathy, variceal haemorrhage, hepatocellular carcinoma), using competing risk analyses. Results: We included 1,068 patients, of whom 162 (15.2%) were determined to be in the severe autoimmune diabetes subgroup, 266 (24.9%) had severe insulin-deficient diabetes, 95 (8.9%) had severe insulin-resistant diabetes (SIRD), 359 (33.6%) had mild obesity-related diabetes, and 186 (17.4%) were in the mild age-related diabetes subgroup. In multivariable analysis, patients in the SIRD cluster and those with excessive alcohol consumption at baseline had the highest risk for liver-related events. The SIRD cluster, excessive alcohol consumption, and hypertension were independently associated with clinically significant fibrosis, evaluated by liver biopsy or transient elastography. Using a simplified classification, patients assigned to the severe and mild insulin-resistant groups had a three- and twofold greater risk, respectively, of developing significant fibrosis compared with those in the insulin-deficient group. Conclusions: A novel clustering classification adequately stratifies the risk of liver-related events in a population with diabetes. Our results also underline the impact of the severity of insulin resistance and alcohol consumption as key prognostic risk factors for liver-related complications. Impact and implications: Diabetes represents a major risk factor for NAFLD development and progression. This study examined the ability of a novel machine-learning approach to identify at-risk diabetes subtypes for liver-related complications. Our results suggest that patients that had severe insulin resistance had the highest risk of liver-related outcomes and fibrosis progression. Moreover, excessive alcohol consumption at the diagnosis of diabetes was the strongest risk factor for developing liver-related events.
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BACKGROUND & AIMS: Patients with alcoholic hepatitis and a modified Maddrey's discriminant function (mDF) <32 have a low risk of short-term mortality. However, few data exist concerning long-term outcomes. The aims of this study were to evaluate 5-year survival rates and to identify predictive factors for long-term prognosis in this patient population. METHODS: We studied patients from 2 centers who were admitted for hepatic decompensation (ascites, hepatic encephalopathy, or jaundice) and who had histological findings of steatohepatitis and an mDF <32. Clinical and biological parameters were recorded at the time of liver biopsy and alcohol consumption was recorded during follow-up. We performed Cox proportional hazard survival analysis to identify factors associated with 5-year survival. RESULTS: One hundred and twenty-one patients were included (male: 64%, mean age: 51.5 ± 10.3 years, presence of cirrhosis: 84%). The median model for end-stage liver disease and mDF scores were 14 (IQR 11.7-16.1) and 19 (IQR 11.1-24), respectively. During follow-up, 30% of the patients remained abstinent. Survival rates at 1, 6, 12, 24, and 60 months were 96.7 ± 1.6%, 90.1 ± 2.7%, 80.8 ± 3.6%, 69.9 ± 4.3%, and 50.7 ± 4.9%, respectively. The majority of deaths (80%) were liver related. In multivariable analysis, encephalopathy at baseline and alcohol abstinence were predictive of 5-year survival. The 5-year survival rates of patients without and with encephalopathy at baseline were 60.5 ± 5.8% and 29.7 ± 8.0%, respectively, and the 5-year survival rates of abstinent and non-abstinent patients were 74.0 ± 8.0% and 40.9 ± 5.8%, respectively. CONCLUSIONS: The mortality rate of patients with alcoholic hepatitis and an mDF <32 is around 50% at 5 years. Hepatic encephalopathy at baseline and lack of alcohol abstinence impair long-term prognosis. New treatment strategies, including measures to ensure abstinence, are required. LAY SUMMARY: Patients with alcoholic hepatitis that is of intermediate severity have a low risk of short-term mortality but not much is known regarding long-term outcomes for these patients. This study clearly indicates that patients with intermediate disease characteristics have poor long-term outcomes. The presence of hepatic encephalopathy at the time of diagnosis and the absence of alcohol abstinence during follow-up are factors that predict poor long-term mortality.
