BACKGROUND: Drug-induced liver injury (DILI) plays an important role in liver failure and causes mortality. Patients with DILI compatible with Hy\'s law are associated with poorer outcomes. However, the predictive accuracy of Hy\'s law is not good enough in clinical practice. This study aimed to investigate the optimal values of biomarkers associated with the prognosis of DILI.
METHODS: From June 1, 2014-May 30, 2022, patients with reported DILI were included. Patients\' characteristics, drugs, DILI type, liver enzymes, and comorbidities were assessed. The associations with DILI-related comorbidities and survival were analyzed.
RESULTS: Ninety-five DILI patients were enrolled, 5 patients died of liver failure, and 23 patients died within 56 weeks after DILI. This study found that 15 mg/dL of total bilirubin, 1000 U/L of ALT, and 2 of PT-INR were optimal cut-off values in predicting DILI-related mortality. For the overall survival, patients with sepsis (HR:5.053, 95% CI:1.594-16.018, p = 0.006), malignancy (HR:4.371, 95% CI:1.573-12.147, p = 0.005), or end-stage renal disease (HR:7.409, 95% CI:1.404-39.103, p = 0.018) were independent poor prognostic factors in multivariate Cox regression analysis.
CONCLUSIONS: Total bilirubin >15 mg/dL, ALT >1000 U/L, and PT-INR >2 are useful biomarkers in predicting DILI-related mortality. DILI patients with sepsis, malignancy, or end-stage renal disease are associated with worse overall survival.

OBJECTIVE: Drug-induced liver injury (DILI) is a prevalent adverse reaction in clinical settings. However, there is limited research on age-related differences in DILI. We performed a large-scale retrospective study to delineate the characteristics of DILI across different age groups.
METHODS: We collected data on a total of 17,946 patients with confirmed DILI hospitalized at the Fifth Medical Center of the People\'s Liberation Army (PLA) General Hospital in Beijing, China, from January 1, 2002, to December 31, 2022. The patients were stratified based on age into the following groups: children (< 18 years), young adults (18-44 years), middle-aged individuals (45-64 years), and elderly individuals (≥ 65 years). We gathered demographic information, medical histories, laboratory results, disease severity assessments, and mortality statistics for all patients.
RESULTS: Overall, the distribution of DILI cases across different age groups was as follows: 6.57% were children, 24.82% were young adults, 49.06% were middle-aged individuals, and 19.54% were elderly individuals. The percentage of females increased with age, rising from 36.47% in the pediatric group to 60.51% in the elderly group. Notably, central nervous system agents (15.44%) and anti-infectious agents (21.80%) were more commonly associated with DILI in children, while cardiovascular agents (10.58%) and herbal dietary supplements or traditional medicines (H/TMs) (26.29%) were more prevalent among elderly people with DILI. Among all age groups, hepatocellular-type DILI was more common in the pediatric group (p < 0.001), whereas cholestatic-type DILI and chronic DILI were more prevalent in the elderly group (p < 0.001). Acute liver failure (ALF) and fatal outcomes were more prevalent in the pediatric and elderly groups, particularly in the pediatric group (2.04%, p = 0.041; 0.85%, p = 0.007, respectively).
CONCLUSIONS: Children and elderly individuals face a higher risk of adverse outcomes following DILI.

UNASSIGNED: Piperacillin/tazobactam (PIPC/TAZ), which is a combination of a beta-lactam/beta-lactamase inhibitor, often causes liver enzyme abnormalities. The albumin-bilirubin (ALBI) score is a simple index that uses the serum albumin and total bilirubin levels for estimating hepatic functional reserve. Although patients with low hepatic reserve may be at high risk for drug-induced liver enzyme abnormalities, the relationship between PIPC/TAZ-induced abnormal liver enzymes levels and the ALBI score remains unknown.
UNASSIGNED: This study aimed to elucidate the relationship between PIPC/TAZ-induced abnormal liver enzyme levels and the ALBI score.
UNASSIGNED: This single-center retrospective case-control study included 335 patients. The primary outcome was PIPC/TAZ-induced abnormal liver enzyme levels. We performed COX regression analysis with male gender, age (≥75 years), alanine aminotransferase level (≥20 IU/L), and ALBI score (≥-2.00) as explanatory factors. To investigate the influence of the ALBI score on the development of abnormal liver enzyme levels, 1:1 propensity score matching between the ≤-2.00 and ≥-2.00 ALBI score groups was performed using the risk factors for drug-induced abnormal liver enzyme levels.
UNASSIGNED: The incidence of abnormal liver enzyme levels was 14.0% (47/335). COX regression analysis revealed that an ALBI score ≥-2.00 was an independent risk factor for PIPC/TAZ-induced abnormal liver enzyme levels (adjusted hazard ratio: 3.08, 95% coefficient interval: 1.207-7.835, P = 0.019). After 1:1 propensity score matching, the Kaplan-Meier curve revealed that the cumulative risk for PIPC/TAZ-induced abnormal liver enzyme levels was significantly higher in the ALBI score ≥-2.00 group (n = 76) than in the <-2.00 group (n = 76) (P = 0.033).
UNASSIGNED: An ALBI score ≥-2.00 may predict the development of PIPC/TAZ-induced abnormal liver enzyme levels. Therefore, frequent monitoring of liver enzymes should be conducted to minimize the risk of severe PIPC/TAZ-induced abnormal liver enzyme levels in patients with low hepatic functional reserve.

OBJECTIVE: With the prolongation of human life expectancy and the outbreak of COVID-19, antineoplastic agents, anti-infective drugs, and cardiovascular system drugs have been widely applied, resulting in a growing incidence of drug-induced liver injury (DILI) year by year. This study aimed to investigate signals, clinical characteristics, and risk factors in patients with liver injury.
METHODS: A retrospective analysis was conducted on inpatients clinically diagnosed with DILI from 2019 to 2021 in one tertiary hospital in mainland China. The hepatic biochemical indices, clinical manifestations and suspected drugs of the patients were counted. We determined causality assessed by the Roussel Uclaf Causality Assessment Method in patients that the biochemistry met the diagnostic criteria recommended by the International Serious Adverse Events Consortium and compared them with contemporaneous patients diagnosed as DILI but with hepatic biochemical abnormalities only to identify the injure types and risk factors for DILI.
RESULTS: A total of 1167 patients from 2639 initial participants with DILI were included. According to the injured target cells, it can be divided into hepatocellular injury type 351 cases (30.08%), cholestatic injury type 97 cases (8.31%), mixed injury type 27 cases (2.31%), and biochemical abnormal only type 692 cases (59.30%). It involved 1738 cases of suspected drugs, 349 drugs, and the top 3 drug categories were antineoplastic agents, anti-infectives, and traditional Chinese medicines, with Cyclophosphamide, Atorvastatin, and Liuzasulfapyridine as the top 3 in order of ranking. The main symptoms of patients were darker urine, decreased appetite, and yellow sclera. The overall prognosis of patients with DILI was favorable, with 280 recovered cases (23.99%), 691 improved cases (59.21%), 189 not improved cases (16.20%), and 7 deaths (0.60%). There were significant differences in gender, age, malignancy, alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, total bilirubin, gamma-glutamyltransferase, albumin, international normalized ratio, and prognosis among patients with different injury types (P < 0.05). Multiple logistic regression analysis showed that female (odds ratio [OR] = 1.897, P < 0.001), alcohol use (OR = 1.905, P = 0.001), malignancy (OR = 0.417, P < 0.001), and pregnancy (OR = 0.201, P = 0.011) were independent factors influencing DILI.
CONCLUSIONS: For most patients with liver injury, the manifestations are mild elevation of liver biochemistry without other symptoms (biochemical abnormal only type). The rest of the patients are predominantly of the hepatocellular injury type. Female and alcohol abuse patients are the risk factors of DILI, reminding clinicians to strengthen education on safe drug use, give individualized treatment, and regularly monitor liver function indexes in the patients.

BACKGROUND: Tuberculosis (TB) is one of the oldest and most well-known diseases that has been associated with humans for many years and remains a global health challenge today. Timely diagnosis and proper treatment are crucial for controlling and preventing the spread of the disease. While anti-TB drugs offer many benefits, inadequate monitoring can lead to a range of side effects, including hepatotoxicity, which is a major concern and can cause treatment discontinuation. The aim of this study was to determine the approach to the hepatotoxicity of anti-TB drugs and to investigate potential relationships between demographic factors, underlying medical conditions, and successful retreatment outcomes for hepatotoxicity induced by anti-TB drugs.
METHODS: For this study, we reviewed the medical records of patients who experienced hepatotoxicity due to anti-TB treatment and were admitted to the infectious ward of Imam Khomeini Hospital between April 2015 and February 2019. The data were collected using a questionnaire.
RESULTS: The findings indicated that the female gender, weight loss at the beginning of hospitalization, hepatitis C virus, hepatitis B virus (HBV), heart disease, and high levels of aspartate aminotransferase (AST) and alanine transaminase (ALT) at the beginning of hepatotoxicity are risk factors for failure to the retreatment of hepatotoxicity. There were two different approaches to the anti-TB retreatment regimen. The first approach involved gradually starting the drugs in full dose, while the second approach encompassed starting the drugs in the minimum dose and then increasing to the maximum dose. The results demonstrated no significant difference between the two approaches to managing hepatotoxicity induced by anti-TB drugs.
CONCLUSIONS: Drug-induced hepatotoxicity is a common occurrence that often results in treatment discontinuation. Understanding the prevalence of this complication and identifying appropriate methods of rechallenge treatment is crucial to reducing complications and mortality rates.

BACKGROUND: The objective of this research was to create and validate an interpretable prediction model for drug-induced liver injury (DILI) during tuberculosis (TB) treatment.
METHODS: A dataset of TB patients from Ningbo City was used to develop models employing the eXtreme Gradient Boosting (XGBoost), random forest (RF), and the least absolute shrinkage and selection operator (LASSO) logistic algorithms. The model\'s performance was evaluated through various metrics, including the area under the receiver operating characteristic curve (AUROC) and the area under the precision recall curve (AUPR) alongside the decision curve. The Shapley Additive exPlanations (SHAP) method was used to interpret the variable contributions of the superior model.
RESULTS: A total of 7,071 TB patients were identified from the regional healthcare dataset. The study cohort consisted of individuals with a median age of 47 years, 68.0% of whom were male, and 16.3% developed DILI. We utilized part of the high dimensional propensity score (HDPS) method to identify relevant variables and obtained a total of 424 variables. From these, 37 variables were selected for inclusion in a logistic model using LASSO. The dataset was then split into training and validation sets according to a 7:3 ratio. In the validation dataset, the XGBoost model displayed improved overall performance, with an AUROC of 0.89, an AUPR of 0.75, an F1 score of 0.57, and a Brier score of 0.07. Both SHAP analysis and XGBoost model highlighted the contribution of baseline liver-related ailments such as DILI, drug-induced hepatitis (DIH), and fatty liver disease (FLD). Age, alanine transaminase (ALT), and total bilirubin (Tbil) were also linked to DILI status.
CONCLUSIONS: XGBoost demonstrates improved predictive performance compared to RF and LASSO logistic in this study. Moreover, the introduction of the SHAP method enhances the clinical understanding and potential application of the model. For further research, external validation and more detailed feature integration are necessary.

BACKGROUND: Tuberculosis (TB) remains prevalent worldwide, and anti-TB drugs are associated with drug-induced liver injury (DILI). Statins have pleiotropic effects which may decrease inflammation and achieve immunomodulation. However, few studies have investigated the pleiotropic effects of statins on the risk of DILI. The purpose of this study was to investigate whether statins prevent anti-tuberculosis DILI among active TB patients on standard anti-TB drug therapy.
METHODS: We conducted a hospital-based retrospective cohort study using claims data from the Integrated Medical Database of National Taiwan University Hospital (NTUH-iMD). Patients with a positive TB culture were included. The use of statins was defined as a daily equivalent dose >0.5 mg of pitavastatin. Deterioration in liver function was evaluated according to elevated liver enzyme levels. The primary and secondary endpoints were the DILI and the severe DILI. The prognostic value of statins was evaluated by Kaplan-Meier analysis, and Cox proportional hazards models.
RESULTS: A total of 1312 patients with a diagnosis of TB and receiving anti-TB treatment were included. During the study period, 193 patients had the DILI and 140 patients had the severe DILI. Kaplan-Meier analysis showed a significant difference between the usual statin users and controls in the DILI. In multivariable Cox proportional hazards analysis, statins showed a protective effect against the primary and secondary endpoints. In addition, the protective effect of statins showed a dose-response relationship against the DILI.
CONCLUSIONS: Statin treatment had a protective effect against the risk of anti-TB DILI with a positive dose-response relationship.

OBJECTIVE: Different patterns of liver injury have been reported in association with the SARS-CoV-2 vaccines. The aim of this study was to describe a nationwide cohort of patients with SARS CoV-2 vaccine-induced liver injury, focusing on treatment and the evolution after further booster administration.
METHODS: multicentre, retrospective-prospective study, including subjects who developed abnormal liver tests within 90 days after administration of SARS-CoV-2 vaccination.
RESULTS: 47 cases were collected: 17 after prime dose and 30 after booster. Age was 57 years, 30 (63.8 %) were female, and 7 (14.9 %) had a history of prior autoimmune hepatitis (AIH). Most cases were non-severe, though 9 (19.1 %) developed acute liver injury or failure (ALF). Liver injury tended to be more severe in those presenting after a booster (p=0.084). Pattern of liver injury was hepatocellular (80.9 %), mixed (12.8 %) and 3 (6.4 %) cholestatic. Liver biopsy was performed on 33 patients; 29 showed findings of AIH. Forty-one (87.2 %) patients received immunosuppressants, mostly corticosteroids (35/41). One required liver transplantation and another died due to ALF. Immunosuppression was discontinued in 6/41 patients without later rebound. Twenty-five subjects received at least one booster and 7 (28.0 %) relapsed from the liver injury, but all were non-severe. Recurrence was less frequent among patients on immunosuppressants at booster administration (28.6 % vs. 88.9 %, p=0.007).
CONCLUSIONS: SARS CoV-2 vaccine-induced liver injury is heterogeneous but mostly immune-mediated. Relapse of liver injury after re-exposure to vaccine is frequent (28.0 %) but mild. Immunosuppression at booster administration is associated with a lower risk of liver injury.

Drug-induced liver injury (DILI) is one of the most common causes of a drug being withdrawn, and identifying the culprit drugs and the host factors at risk of causing DILI has become a current challenge. Recent studies have found that immune status plays a considerable role in the development of DILI. In this study, DILI-related differentially expressed genes mediated by immunoinflammatory cytokines were obtained from the Gene Expression Omnibus (GEO) database to predict the occurrence of DILI (named the DILI predictive gene set, DILI_PGS), and the predictability of the DILI_PGS was verified using the Connectivity Map (CMap) and LiverTox platforms. The results obtained DILI_PGS from the GEO database could predict 81.25% of liver injury drugs. In addition, the Coexpedia platform was used to predict the DILI_PGS-related characteristics of common host diseases and found that the DILI_PGS mainly involved immune-related diseases and tumor-related diseases. Then, animal models of immune stress (IS) and immunosuppressive (IP) were selected to simulate the immune status of the above diseases. Meanwhile, psoralen, a main component derived from Psoralea corylifolia Linn. with definite hepatotoxicity, was selected as an experimental drug with highly similar molecular fingerprints to three idiosyncratic hepatotoxic drugs (nefazodone, trovafloxacin, and nimesulide) from the same DILI_PGS dataset. The animal experiment results found a single administration of psoralen could significantly induce liver injury in IS mice, while there was no obvious liver function change in IP mice by repeatedly administering the same dose of psoralen, and the potential mechanism of psoralen-induced liver injury in IS mice may be related to regulating the expression of the TNF-related pathway. In conclusion, this study constructed the DILI_PGS with high accuracy to predict the occurrence of DILI and preliminarily identified the characteristics of host factors inducing DILI.

[This corrects the article DOI: 10.3389/fphar.2023.1239395.].