Drug-induced cholestatic liver diseases.

Cholestatic DILI is an important and frequently challenging differential diagnosis in patients presenting with elevated liver tests with predominant elevation in alkaline phosphatase. A number of competing etiologies need to be ruled out, such as hepatobiliary malignancy, choledocholithiasis, cholestatic forms of viral hepatitis, cholestasis of sepsis, primary and secondary cholangitis, and right-sided cardiac failure to name a few. Important advances have occurred in the understanding and knowledge of the clinical phenotypes, new etiological agents, risk factors, pathophysiology, and genetic determinants of drug-induced cholestasis since the last review on drug-induced cholestasis was published in Hepatology in 2011. Secondary sclerosing cholangitis (SSC) due to drugs has been well documented for several different drugs. Checkpoint inhibitors are one of the types of drugs shown to lead to secondary sclerosing cholangitis. Several new herbal and dietary supplements have recently been shown to lead to cholestatic liver injury. A number of genetic risk factors for cholestasis due to drugs have been identified in the last decade, and the pathogenesis behind cholestatic injury is better defined. In this review, the focus is on diagnostic approach and description of new clinical phenotypes such as secondary sclerosing cholangitis and vanishing bile duct syndrome. Furthermore, the review provides an overview of the risk factors, genetic determinants, and the pathophysiology of hepatobiliary transporters leading to cholestasis. Management, areas of uncertainty, and future direction are also presented.

Impact of Diabetes, Drug-Induced Liver Injury, and Sepsis on Outcomes in Metabolic Dysfunction Associated Fatty Liver Disease-Related Acute-on-Chronic Liver Failure.

INTRODUCTION: The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) and its complication, MAFLD-related acute-on-chronic liver failure (MAFLD-ACLF), is rising. Yet, factors determining patient outcomes in MAFLD-ACLF remain understudied. METHODS: Patients with MAFLD-ACLF were recruited from the Asian Pacific Association for the Study of the Liver-ACLF Research Consortium (AARC registry). The diagnosis of MAFLD-ACLF was made when the treating unit had identified the etiology of chronic liver disease as MAFLD (or previous nomenclature such as non-alcoholic fatty liver disease, non-alcoholic steatohepatitis, or non-alcoholic steatohepatitis-cirrhosis). Patients with coexisting other etiologies of chronic liver disease (such as alcohol, hepatitis B virus, hepatitis C virus, etc.) were excluded. Data were randomly split into derivation (n = 258) and validation (n = 111) cohorts at a 70:30 ratio. The primary outcome was 90-day mortality. Only the baseline clinical, laboratory features and severity scores were considered. RESULTS: The derivation group had 258 patients; 60% were male, with a mean age of 53. Diabetes was noted in 27% and hypertension in 29%. The dominant precipitants included viral hepatitis (hepatitis A virus and hepatitis E virus, 32%), drug-induced injury (drug-induced liver injury, 29%), and sepsis (23%). Model for End-Stage Liver Disease-Sodium (MELD-Na) and AARC scores on admission averaged 32 ± 6 and 10.4 ± 1.9. At 90 days, 51% survived. Nonviral precipitant, diabetes, bilirubin, international normalized ratio, and encephalopathy were independent factors influencing mortality. Adding diabetes and precipitant to MELD-Na and AARC scores, the novel MAFLD-MELD-Na score (+12 for diabetes, +12 for nonviral precipitant), and MAFLD-AARC score (+5 for each) were formed. These outperformed the standard scores in both cohorts. DISCUSSION: Almost half of patients with MAFLD-ACLF die within 90 days. Diabetes and nonviral precipitants such as drug-induced liver injury and sepsis lead to adverse outcomes. The new MAFLD-MELD-Na and MAFLD-AARC scores provide reliable 90-day mortality predictions for patients with MAFLD-ACLF.

Global burden of liver disease: 2023 update.

Liver disease accounts for two million deaths annually and is responsible for 4% of all deaths (1 out of every 25 deaths worldwide); approximately two-thirds of all liver-related deaths occur in men. Deaths are largely attributable to complications of cirrhosis and hepatocellular carcinoma, with acute hepatitis accounting for a smaller proportion of deaths. The most common causes of cirrhosis worldwide are related to viral hepatitis, alcohol, and non-alcoholic fatty liver disease. Hepatotropic viruses are the aetiological factor in most cases of acute hepatitis, but drug-induced liver injury increasingly accounts for a significant proportion of cases. This iteration of the global burden of liver disease is an update of the 2019 version and focuses mainly on areas where significant new information is available like alcohol-associated liver disease, non-alcoholic fatty liver disease, viral hepatitis, and hepatocellular carcinoma. We also devote a separate section to the burden of liver disease in Africa, an area of the world typically neglected in such documents.

Nomenclature, diagnosis and management of drug-induced autoimmune-like hepatitis (DI-ALH): An expert opinion meeting report.

Drug-induced liver injury (DILI) can mimic almost all other liver disorders. A phenotype increasingly ascribed to drugs is autoimmune-like hepatitis (ALH). This article summarises the major topics discussed at a joint International Conference held between the Drug-Induced Liver Injury consortium and the International Autoimmune Hepatitis Group. DI-ALH is a liver injury with laboratory and/or histological features that may be indistinguishable from those of autoimmune hepatitis (AIH). Previous studies have revealed that patients with DI-ALH and those with idiopathic AIH have very similar clinical, biochemical, immunological and histological features. Differentiating DI-ALH from AIH is important as patients with DI-ALH rarely require long-term immunosuppression and the condition often resolves spontaneously after withdrawal of the implicated drug, whereas patients with AIH mostly require long-term immunosuppression. Therefore, revision of the diagnosis on long-term follow-up may be necessary in some cases. More than 40 different drugs including nitrofurantoin, methyldopa, hydralazine, minocycline, infliximab, herbal and dietary supplements (such as Khat and Tinospora cordifolia) have been implicated in DI-ALH. Understanding of DI-ALH is limited by the lack of specific markers of the disease that could allow for a precise diagnosis, while there is similarly no single feature which is diagnostic of AIH. We propose a management algorithm for patients with liver injury and an autoimmune phenotype. There is an urgent need to prospectively evaluate patients with DI-ALH systematically to enable definitive characterisation of this condition.

APASL-ACLF Research Consortium-Artificial Intelligence (AARC-AI) model precisely predicts outcomes in acute-on-chronic liver failure patients.

BACKGROUND AND AIMS: We hypothesized that artificial intelligence (AI) models are more precise than standard models for predicting outcomes in acute-on-chronic liver failure (ACLF). METHODS: We recruited ACLF patients between 2009 and 2020 from APASL-ACLF Research Consortium (AARC). Their clinical data, investigations and organ involvement were serially noted for 90-days and utilized for AI modelling. Data were split randomly into train and validation sets. Multiple AI models, MELD and AARC-Model, were created/optimized on train set. Outcome prediction abilities were evaluated on validation sets through area under the curve (AUC), accuracy, sensitivity, specificity and class precision. RESULTS: Among 2481 ACLF patients, 1501 in train set and 980 in validation set, the extreme gradient boost-cross-validated model (XGB-CV) demonstrated the highest AUC in train (0.999), validation (0.907) and overall sets (0.976) for predicting 30-day outcomes. The AUC and accuracy of the XGB-CV model (%Δ) were 7.0% and 6.9% higher than the standard day-7 AARC model (p < .001) and 12.8% and 10.6% higher than the day 7 MELD for 30-day predictions in validation set (p < .001). The XGB model had the highest AUC for 7- and 90-day predictions as well (p < .001). Day-7 creatinine, international normalized ratio (INR), circulatory failure, leucocyte count and day-4 sepsis were top features determining the 30-day outcomes. A simple decision tree incorporating creatinine, INR and circulatory failure was able to classify patients into high (~90%), intermediate (~60%) and low risk (~20%) of mortality. A web-based AARC-AI model was developed and validated twice with optimal performance for 30-day predictions. CONCLUSIONS: The performance of the AARC-AI model exceeds the standard models for outcome predictions in ACLF. An AI-based decision tree can reliably undertake severity-based stratification of patients for timely interventions.

Clinical and Liver Biochemistry Phenotypes, and Outcome in 133 Patients with Anti-seizure Drug-Induced Liver Injury.

AIMS AND OBJECTIVE: Anti-seizure drugs that cause idiosyncratic drug-induced liver injury (DILI) are an important cause of morbidity and mortality in individuals exposed to these drugs. The clinical and demographic characteristics, the liver injury pattern, the outcome, and the agents responsible for hepatotoxicity have not been thoroughly studied. We investigated the aforementioned characteristics in a large cohort of DILI registry patients. METHODS: Patients with anti-seizure DILI were studied from a large single-center DILI registry between 1998 and 2021. DILI was defined by international working group criteria with at least a probable relation with RUCAM. Immunoallergic features and organ-specific contribution to outcome were investigated. RESULTS: Anti-seizure drugs accounted for 133 patients (12.5%) among 1067 patients with idiosyncratic DILI. Compared to other agents, patients with anti-seizure DILI were younger (31 vs 41 years; p = 0.31), were more often females (52% vs 46%; p = 0.19) and had a lower frequency of jaundice (41% vs 59%, p = 0.001), MELD score (14.5 vs 16.5; p = 0.02) and mortality (9.8% vs 15.7%, p = 0.03). Anti-seizure DILI exhibited a greater frequency of hypersensitivity skin rashes (75% vs 22%, p < 0.001), including DRESS (51% vs 13%, p < 0.001) and SJS/TEN (19% vs1%, p < 0.001). A total of 18 different anti-seizure agents were responsible for DILI, largely contributed by carbamazepine (n = 36), phenytoin (n = 71), phenobarbitone (n = 8) and valproate (n = 14) which accounted for 89% of cases and 85% of 13 deaths. CONCLUSIONS: Anti-seizure DILI are caused predominantly by first generation drugs. Newer agents account for < 10% of cases. Hypersensitivity reaction is the most common phenotypic presentation. Both severity and mortality are lower with anti-seizure DILI.

Idiosyncratic Drug-Induced Liver Injury Associated With and Without Drug Reaction With Eosinophilia and Systemic Symptoms.

INTRODUCTION: Immunoallergic drug-induced liver injury (DILI) presenting with features of drug reaction with eosinophilia and systemic symptoms (DRESS) is a distinct phenotype. We describe the clinical characteristics, hepatitis pattern, severity, complications, and implicated medications in DILI patients with and without DRESS. METHODS: Using established criteria, we analyzed DILI registry patients with and without DRESS from 1998 to 2021. RESULTS: DILI associated with DRESS (DwD) comprised 179 among 943 cases (19%) of DILI. Compared with the cohort without DRESS, patients with DwD are more often women and have shorter latency, lesser degrees of injury ( P < 0.01), and lower mortality (7.8%) than those without DRESS (16%). Antiepileptic drugs (36%), sulfonamides (19%), antituberculosis drugs (14%), antibiotics (10%), and antiretroviral drugs (8%) account for 87% of the cases of DwD. DISCUSSION: A limited number of drugs cause DwD, representing a fifth of patients with DILI. DwD is characterized by lesser degrees of liver injury and mortality likely because of earlier presentation.

Leflunomide-induced liver injury: Differences in characteristics and outcomes in Indian and US registries.

BACKGROUND: Leflunomide, a disease-modifying anti-rheumatic drug, has been associated with elevations of serum aminotransferases. Herein, we describe the clinical, laboratory features and outcomes of 17 patients with leflunomide/teriflunomide hepatotoxicity from two large drug-induced liver injury (DILI) registries. METHODS: Consecutive, adjudicated cases of leflunomide (n = 16)-or teriflunomide (n = 1)-related DILI from a single centre in Bangalore, India and the multicentre US Drug-Induced Liver Injury Network (DILIN) were reviewed. RESULTS: Nine (0.8%) of the 1070 Indian patients and 8 (0.5%) of the 1400 DILIN patients fulfilled the criteria for DILI because of leflunomide- or teriflunomide. 89% of the Indian cases were women and all were associated with severe cutaneous adverse reaction (SCAR) and a median drug latency of 49 days, whereas 37.5% of the DILIN cases were female, none exhibited SCAR and the median drug latency was 166 days. Hepatocellular injury (70%) was more common in women than men (92% vs. 20%) and was associated with younger mean age (41 vs. 59 years), higher peak INR (2.3 vs. 1.2) and higher mortality (58% vs. 0%). Mortality was observed in six patients from India (2 of the three with myocarditis) and one received liver transplantation from the USA. CONCLUSION: Leflunomide-induced liver injury is predominantly hepatocellular. Leflunomide hepatotoxicity is more likely accompanied by SCAR, a short latency and a higher mortality in the Indian cohort, with a predominance of females, compared to US DILIN patients. The differences in skin involvement, immunoallergic features and outcomes among subjects from India vs. the USA suggest that genetic or environmental factors are important in the pathogenesis of liver injury.

Association of human leukocyte antigen-B*13:01 with dapsone-induced liver injury.

Human leukocyte antigens (HLA) have been linked to adverse drug reactions. Generally, HLA association is phenotype specific and is related to either liver or skin injury. HLA-A*13:01 has been linked to dapsone-induced severe cutaneous drug reactions and its role in drug-induced liver injury (DILI) is unclear. In our series, all of the four patients with immunoallergic dapsone DILI were carrying HLA-B*13:01 compared to its prevalence of 1-12% among Indians. HLA-B*13:01 plays a role not only in dapsone-induced severe cutaneous adverse reaction (SCAR) but also in dapsone-induced liver injury with immunoallergic features and highlights the role of adaptive immune response in the pathogenesis of both liver and skin injury and associated other organ involvement.

Impact of metabolic risk factors on the severity and outcome of patients with alcohol-associated acute-on-chronic liver failure.

BACKGROUND: Metabolic risk factors may impact the severity and outcome of alcoholic liver disease. The present study evaluated this effect in patients with alcohol-associated acute-on-chronic liver failure (ACLF). METHODOLOGY: One thousand two hundred and sixteen prospectively enrolled patients with ACLF (males 98%, mean age 42.5 ± 9.4 years, mean CTP, MELD and AARC scores of 12 ± 1.4, 29.7 ± 7 and 9.8 ± 2 respectively) from the Asian Pacific Association for the Study of the Liver (APASL) ACLF Research Consortium (AARC) database were analysed retrospectively. Patients with or without metabolic risk factors were compared for severity (CTP, MELD, AARC scores) and day 30 and 90 mortality. Information on overweight/obesity, type 2 diabetes mellitus (T2DM), hypertension and dyslipidaemia were available in 1028 (85%), 1019 (84%), 1017 (84%) and 965 (79%) patients respectively. RESULTS: Overall, 392 (32%) patients died at day 30 and 528 (43%) at day 90. Overweight/obesity, T2DM, hypertension and dyslipidaemia were present in 154 (15%), 142 (14%), 66 (7%) and 141 (15%) patients, respectively, with no risk factors in 809 (67%) patients. Patients with overweight/obesity had higher MELD scores (30.6 ± 7.1 vs 29.2 ± 6.9, P = .007) and those with dyslipidaemia had higher AARC scores (10.4 ± 1.2 vs 9.8 ± 2, P = .014). Overweight/obesity was associated with increased day 30 mortality (HR 1.54, 95% CI 1.06-2.24, P = .023). None of other metabolic risk factors, alone or in combination, had any impact on disease severity or mortality. On multivariate analysis, overweight or obesity was significantly associated with 30-day mortality (aHR 1.91, 95% CI 1.41-2.59, P < .001), independent of age, CTP, MELD and AARC scores. CONCLUSION: Overweight/obesity and dyslipidaemia increase the severity of alcohol-associated ACLF, and the former also increases the short-term mortality in these patients.