Magnitude, outcome, and associated factors of anti-tuberculosis drug-induced hepatitis among tuberculosis patients in a tertiary hospital in North Ethiopia: A cross-sectional study

Incidence, Clinical Features, Associated Factors and Outcomes of Intensive Phase Antituberculosis Drug Induced Liver Injury Among Patients With Tuberculosis at a Tertiary Care Hospital in Nepal: A Descriptive Cross-Sectional Study

Background and Aims

Tuberculosis (TB) remains a significant global health concern, especially in Nepal, where the incidence of anti-TB drug-induced liver injury (DILI) is substantial. The main aim of this study is to investigate the incidence, clinical characteristics, outcomes, and contributing factors related to intensive phase anti-TB DILI among TB patients.

Methods

This prospective cross-sectional study enrolled 78 TB patients. Patients received a weight-based fixed-dose Antitubercular therapy (ATT). Liver function tests (LFTs) were performed at baseline and periodically during treatment to monitor for anti-TB DILI. Patients with DILI received immediate ATT discontinuation, supportive care, and reintroduction of ATT upon LFT normalization. Outcomes were tracked up to 60 days post-DILI. Data were analyzed using SPSS v21. Statistical significance was set at p < 0.05.

Results

The mean age of the patients was 49.87 years (SD = 18.61), and 57.7% were male. Anti-TB DILI was observed in 15.4% of patients during the intensive treatment phase, with moderate severity in 50% of these cases. Half of the patients with DILI presented with nausea, vomiting, and anorexia. Notably, 91.7% of DILI patients showed improvement upon treatment discontinuation. The recurrence rate of anti-TB DILI after ATT re-initiation was 8.3%. Anti-TB DILI developed at a median of 11 days (range: 7-60 days) after ATT initiation, with liver enzyme normalization after discontinuation of ATT averaging 10.9 ± 6.45 days. The mortality rate among DILI patients was 8.3% (1 out of 12 patients). Hepatotoxic drugs, low BMI, and low serum albumin were identified as independent predictors of anti-TB DILI.

Conclusion

Anti-TB DILI occurred in a significant proportion of TB patients, with moderate severity being most common. Early detection and management, including treatment discontinuation, led to high recovery rates, though mortality remained notable. Low BMI, low serum albumin, and hepatotoxic drugs were key independent risk factors, emphasizing the need for careful monitoring and tailored management during ATT.

Influence of N-acetyltransferase 2 polymorphisms and clinical variables on liver function profile of tuberculosis patients

BACKGROUND

Single nucleotide polymorphisms (SNPs) in the N-acetyltransferase 2 (NAT2) gene as well as several other clinical factors can contribute to the elevation of liver function test values in tuberculosis (TB) patients receiving antitubercular therapy (ATT).

RESEARCH DESIGN AND METHODS

A prospective study involving dynamic monitoring of the liver function tests among 130 TB patients from baseline to 98 days post ATT initiation was undertaken to assess the influence of pharmacogenomic and clinical variables on the elevation of liver function test values. Genomic DNA was extracted from serum samples for the assessment of NAT2 SNPs. Further, within this study population, we conducted a case control study to identify the odds of developing ATT-induced drug-induced liver injury (DILI) based on NAT2 SNPs, genotype and phenotype, and clinical variables.

RESULTS

NAT2 slow acetylators had higher mean [90%CI] liver function test values for 8-28 days post ATT and higher odds of developing DILI (OR: 2.73, 90%CI: 1.05-7.09) than intermediate acetylators/rapid acetylators.

CONCLUSION

The current study findings provide evidence for closer monitoring among TB patients with specific NAT2 SNPs, genotype and phenotype, and clinical variables, particularly between the period of more than a week to one-month post ATT initiation for better treatment outcomes.

Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis

Background: Tuberculosis (TB) is one of the leading causes of death worldwide and a major cause of ill health. Without treatment, the mortality rate of TB is approximately 50%; with treatment, most patients with TB can be cured. However, anti-TB drug treatments may result in many adverse effects. Therefore, it is important to detect and predict these adverse effects early. Our study aimed to build models using an artificial intelligence/machine learning approach to predict acute hepatitis, acute respiratory failure, and mortality after TB treatment. Materials and Methods: Adult patients (age ≥ 20 years) who had a TB diagnosis and received treatment from January 2004 to December 2021 were enrolled in the present study. Thirty-six feature variables were used to develop the predictive models with AI. The data were randomly stratified into a training dataset for model building (70%) and a testing dataset for model validation (30%). These algorithms included XGBoost, random forest, MLP, light GBM, logistic regression, and SVM. Results: A total of 2248 TB patients in Chi Mei Medical Center were included in the study; 71.7% were males, and the other 28.3% were females. The mean age was 67.7 ± 16.4 years. The results showed that our models using the six AI algorithms all had a high area under the receiver operating characteristic curve (AUC) in predicting acute hepatitis, respiratory failure, and mortality, and the AUCs ranged from 0.920 to 0.766, 0.884 to 0.797, and 0.834 to 0.737, respectively. Conclusions: Our AI models were good predictors and can provide clinicians with a valuable tool to detect the adverse prognosis in TB patients early.

Risk Factors for Tigecycline-Associated Hepatotoxicity in Patients in the Intensive Care Units of Two Tertiary Hospitals: A Retrospective Study

Tigecycline is a broad-spectrum antibacterial agent. As the incidence of multidrug-resistant bacterial infections has increased in intensive care units (ICUs) over the past decades, tigecycline is often used in ICUs. Information about tigecycline-associated hepatotoxicity in ICU patients is limited. To investigate the potential risk factors for tigecycline-associated hepatotoxicity in ICU patients, 148 patients from two centers who had received tigecycline for at least 4 days were retrospectively analyzed. Hepatotoxicity was classified according to the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE 5.0) grading system. As a result, 33.8% of patients experienced hepatotoxicity events in the ICU. The multivariate analysis showed that an albumin concentration <25 g/L at baseline [odds ratio (OR) 3.714, 95% confidence interval (CI), 1.082-12.744, P = 0.037) and treatment duration (OR 1.094, 95% CI, 1.032-1.160, P = 0.003) were significantly correlated with tigecycline-associated hepatotoxicity. The median time to onset of hepatotoxicity was 8.0 days. The median duration ICU stay and the in-hospital mortality rate were not different between the hepatotoxicity group and the nonhepatotoxicity group [33.5 days (interquartile range (IQR) 21.0-72.0) vs. 31.0 days (IQR 21-62.5), P = 0.850; 38.0% vs. 43.8%, P = 0.504]. Therefore, close monitoring of liver function is recommended for patients with baseline albumin concentrations < 25 g/L or for patients who receive tigecycline therapy for more than 8 days. This article is protected by copyright. All rights reserved.

NAT2 polymorphism and clinical factors that increased antituberculosis drug-induced hepatotoxicity

Aim: Hepatotoxicity is a known adverse effect of antituberculosis drugs. The NAT2 gene polymorphism has been associated with an increased risk of antituberculosis drug-induced hepatotoxicity (ATDIH). Materials and methods: This study investigates the association of NAT2 polymorphism and clinical risk factors that may contribute to the development of ATDIH. The authors sequenced the NAT2 region of 33 tuberculosis patients who developed ATDIH and 100 tuberculosis patients who did not develop ATDIH during tuberculosis treatment. NAT2 haplotypes were inferred and NAT2 acetylator status was predicted from the combination of the inferred haplotypes. Multiple logistic regression was performed to identify possible factors that are associated with ATDIH. Results: The TT genotype of NAT2*13A and the AA genotype of NAT2*6B were found to be substantially linked with the risk of ATDIH, with odds ratios of 3.09 (95% CI: 1.37-6.95) and 3.07 (95% CI: 1.23-7.69), respectively. NAT2 slow acetylators are 3.39-times more likely to develop ATDIH. Factors that were associated with ATDIH include underlying diabetes mellitus (adjusted odds ratio [AOR] 2.96; 95% CI: 1.05-8.37), pre-treatment serum bilirubin (AOR 1.09; 95% CI: 1.02-1.16) and NAT2 slow acetylator (AOR 3.77; 95% CI: 1.51-9.44). Conclusion: Underlying diabetes mellitus, having a higher baseline bilirubin and being a slow acetylator are identified as the risk factors associated with ATDIH among patients in Malaysia.

Prevalence of HIV and Its Co-Infection with Hepatitis B/C Virus Among Chronic Liver Disease Patients in Ethiopia

Background

The efficient use of antiretroviral drugs has significantly reduced AIDS-related morbidities and mortalities; however, mortality due to non-AIDS-related end-stage liver diseases is escalating in those living with HIV.

Objective

The study was designed to determine the prevalence of HIV and its co-infection with HBV and HCV among chronic liver disease (CLD) patients in Ethiopia.

Methods

Three hundred and forty-five CLD patients were included in this study in two groups: Hepatocellular carcinoma (HCC) (n=128) and non-HCC (n=217) patients. The non-HCC group comprised patients with advanced liver disease (n=98) and chronic hepatitis (n=119). Enzyme immunoassays were used to determine HBV and HCV infection markers. In addition, a serial rapid HIV testing algorithm was employed to screen HIV infection.

Results

Regardless of the stage of liver disease, the overall frequency of HIV was 4.3% (15/345), with a 2% (7/345) and 0.3% (1/345) of HIV/HBV and HIV/HCV co-infection rate. Of all HIV-infected patients (n=15), 46.7% (7/15) and 6.7% (1/15) were co-infected with HBV (HBsAg⁺HBcAb⁺) and HCV (anti-HCV⁺ HCV-RNA⁺), respectively, and 86.7% (13/15) exhibited a marker of HBV exposure (total HBcAb⁺). Overall, the frequency of HIV and its co-infection with HBV was more noticeable among HCC than non-HCC patients [8.6% (11/128) vs 1.8 (4/217), p=0.005 and 3.9% (5/128) vs 0.9% (2/217), p=0.1]. The rate of HIV mono-infection was 3.9% (5/128) vs 0.9% (2/217) among HCC and non-HCC patients.

Conclusion

The frequency of HIV and its co-infections with HBV/HCV exhibited an increasing pattern with the severity of the liver disease. Thus, screening all HIV-positive patients for HBV and HCV infection and all CLD patients for HIV infection and taking necessary preventive measures would be an essential strategy to prevent the progression of CLD and death related to liver disease in people living with HIV.