Is the Prophylactic Use of Hepatoprotectants Necessary in Anti-Tuberculosis Treatment?

Assessment of Comorbidity in Patients with Drug-Resistant Tuberculosis

A wide range of comorbidities, especially in multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) patients, markedly complicates selecting effective treatment of tuberculosis (TB) and preventing the development of adverse events. At present, it is impossible to assess the severity of comorbid pathologies and develop indications for the administration of accompanying therapy in TB patients. The aim of this study was to identify the difference in the range of comorbidities between patients with MDR-TB and XDR-TB and assess the impact of comorbidities on TB treatment. Materials and Methods: A retrospective, prospective study was conducted where 307 patients with MDR-TB and XDR-TB pulmonary tuberculosis aged 18 to 75 years who received eTB treatment from 2016 to 2021 in St. Petersburg hospitals were analyzed. The analysis showed that the comorbidity level in MDR-TB and XDR-TB patients with TB treatment success and treatment failure was comparable with the use of the Charlson Comorbidity Index (CCI). The CCI demonstrated declining data in terms of TB treatment outcome period in both groups. A slight predominance of CCI score (3 to 4 points) in XDR-TB (22.7%) vs. MDR-TB (15.4%) patients was found. In the case of an TB treatment failure, the CCI level in MDR-TB vs. XDR-TB patients was characterized by a significantly higher rate of low magnitude (ranging from 1 to 2 points) in 21.1% vs. 4.5% (p < 0.05), which was higher in XDR-TB patients (ranging from 4 to 5 points, in 10.0% vs. 0, χ2 = 33.7 (p < 0.01)). Chronic viral hepatitis B and C infection, cardiovascular pathology, chronic obstructive pulmonary disease, and chronic alcoholism were found to be significant comorbidity factors that influenced the TB treatment success. Conclusions: It is evident that XDR-TB patients comprise a cohort with the most severe disease course due to comorbidities impacting TB treatment efficacy. The obtained data pointed to the need to determine comorbidity severity in patients with drug-resistant Mbt prior to administering TB treatment schemes.

Risk factors for irinotecan-induced liver injury: a retrospective multicentre cross-sectional study in China

OBJECTIVES

The hepatotoxicity of irinotecan has been widely implicated in the treatment of multiple solid tumours. However, there are few studies on the influencing factors of irinotecan-induced hepatotoxicity. Herein, we investigated the risk factors for irinotecan-induced liver injury among 421 patients receiving irinotecan-based regimens (IBRs).

DESIGN

Retrospective multi-centre cross-sectional study.

SETTING

This study surveyed four hospitals in China.

PARTICIPANTS

After excluding participants with missing variables, we retrospectively collected the demographic, clinical and therapeutic data of 421 patients who received IBRs in four hospitals between January 2020 and December 2021 and divided the patients into two groups: those without liver injury and those with liver injury.

RESULTS

The 421 enrolled patients were grouped (liver injury group: n=92; control group: n=329) according to their hepatic biochemical monitoring parameters. In our study, the multivariate logistic regression results showed that three to four cycles of chemotherapy (OR (95% CI): 2.179 (1.272 to 3.733); p=0.005) and liver metastasis (OR (95% CI): 1.748 (1.079 to 2.833); p=0.023) were independent risk factors for irinotecan-induced liver injury. The Cox proportional hazards model demonstrated that alcohol consumption history (OR (95% CI): 2.032 (1.183 to 3.491); p=0.010) and a cumulative dose of irinotecan ≥1000 mg (OR (95% CI): 0.362 (0.165 to 0.792); p=0.011) were significantly correlated with the onset time of irinotecan-induced liver injury.

CONCLUSIONS

These findings suggest that patients with liver metastasis or who received three to four cycles of chemotherapy should undergo rigorous liver function monitoring to prevent or reduce the incidence of irinotecan-induced liver injury. Moreover, patients with a history of alcohol consumption should also be closely monitored.

A nomogram model to predict the risk of drug-induced liver injury in patients receiving anti-tuberculosis treatment

Objectives: To establish an individualized nomogram to predict the probability of drug-induced liver injury (DILI) in tuberculosis patients receiving anti-tuberculosis treatment. Methods: The clinical information of patients admitted to a tertiary hospital between January 2010 and December 2022 was retrospectively reviewed from the clinical records. Patients with baseline liver diseases (hepatis B or C infection and fatty liver) or taking liver protective drugs were excluded. The maximum values in liver function test within 180 days after anti-tuberculosis treatment were collected to determine the occurrence of DILI. The candidate variables used for establishing prediction model in this study were the last results within the 30 days before the treatment onset. The final variables were included after univariate and multivariate logistic regression analyses and applied to establish the nomogram model. The discrimination power and prediction accuracy of the prediction model were assessed using the area under the receiver operating characteristic (AUC) curve and a calibration chart. The clinical effectiveness was assessed via decision curve analysis (DCA). The established model was validated in two validation groups. Results: A total of 1979 patients with 25 variables were enrolled in this study, and the incidence of DILI was 4.2% (n = 83). The patients with complete variables were divided into training group (n = 1,121), validation group I (n = 492) and validation group II (n = 264). Five variables were independent factors for DILI and included in the final prediction model presented as nomogram: age (odds ratio [OR] 1.022, p = 0.023), total bilirubin ≥17.1 μmol/L (OR 11.714, p < 0.001), uric acid (OR 0.977, p = 0.047), neutrophil count (OR 2.145, 0.013) and alcohol consumption (OR 3.209, p = 0.002). The AUCs of the prediction model in the training group, validation group I and validation group II were 0.833, 0.668, and 0.753, respectively. The p-values of calibration charts in the three groups were 0.800, 0.996, and 0.853. The DCA curves of the prediction model were above the two extreme curves. Conclusion: The nomogram model in this study could effectively predict the DILI risk among patients under anti-tuberculosis drug treatment.

Incidence and Temporal Trend of Antituberculosis Drug-Induced Liver Injury: A Systematic Review and Meta-Analysis

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses standards were followed, and the protocol was registered in PROSPERO (CRD42020200077). Five electronic databases were searched to identify eligible studies published between 1990 and 2022. Search terms included anti-TB treatment and drug-induced liver injury. Studies that reported the incidence of ATLI or provided sufficient data to calculate the incidence of ATLI were included, and duplicate studies were excluded. Meta-analysis was conducted on the basis of logit-transformed metrics for the incidence of ATLI with 95% confidence intervals (CIs), followed by a predefined subgroup meta-analysis. Temporal trend analyses were performed to describe the change in pooled incidence over time. A random effects metaregression was conducted to explore the source of heterogeneity. All statistical analyses were carried out using R 4.0.1.

Results

A total of 160 studies from 156 records with 116147 patients were included in the meta-analysis. Based on the random effects model, the pooled incidence of ATLI was 11.50% (95% CI: 10.10%–12.97%) and showed an upward trend over time (P < 0.001). Patients who received first-line anti-TB drugs, patients in South America, and patients with hepatitis B and C virus coinfection had a higher incidence of ATLI (13.66%, 18.16%, and 39.19%, respectively). Sensitivity analyses also confirmed this robust incidence after the exclusion of some studies. The metaregression showed that different anti-TB regimens and geographical regions were important explanatory factors of the heterogeneity between studies.

Conclusions

The present systematic review provided a basis for estimating the incidence of ATLI worldwide, which varied among patients with different anti-TB regimens in different geographical regions and with different coinfections and had an upward trend. Regular liver function monitoring is imperative for patient safety during the anti-TB treatment course.

Effectiveness of Prophylactic Use of Hepatoprotectants for Tuberculosis Drug-Induced Liver Injury: A Population-Based Cohort Analysis Involving 6,743 Chinese Patients

Background: Tuberculosis drug-induced liver injury (TB-DILI) is a common and potentially severe adverse drug reaction leading to treatment interruption and treatment failure. The real-world preventive effectiveness of hepatoprotective agents for DILI is not well described. The aim of the study was to evaluate the patterns of prophylactic therapies in real-world settings and risks of DILI among adult TB patients without known risk factors for DILI.

Methods: This is a population-based retrospective cohort study of patients receiving first-line anti-tuberculosis drugs in the Chinese Center for Disease Control and Prevention (CDC) TB registry linked to the Ningbo Regional Health Care Database (NRHCD) between 2015 and 2020. The primary exposure was any use of chemopreventive agents including silymarin and/or glycyrrhetinic acid during the 30-day period prior to TB diagnosis (index date). The main outcome measure was the occurrence of newly onset DILI following TB treatment. Eligible patients were followed until the earliest of any DILI, treatment discontinuation, death, or end of the study period (30 June 2020). Marginal structural competing risk models and Cox models via inverse probability treatment weights using high-dimensional propensity scores were used to estimate subdistribution hazard risks (SHR) and 95% confidence intervals (CIs) for DILI risks, with adjustment for age, sex, TB-related characteristics, and comorbidities.

Results: We identified a cohort of 6,743 adult patients with TB (mean age of 47.1 [SD 18.7] years; 65.80% male), of whom 2,886 (42.8%) patients received hepatoprotective agents. A total of 895 DILI events and 111 all-cause death events without DILI were observed over a median follow-up of 367 days post-TB diagnosis. The incidence rates of composite outcomes combining DILI and all-cause mortality were 248.9 and 222.3 per 1,000 person-years in the hepatoprotective agent exposed and unexposed groups (relative hazard ratio 1.35, 95% CI 1.11–1.64), respectively. The incidence rates of DILI were 223.7 and 196.1 per 1,000 person-years in the hepatoprotective agent exposed and unexposed groups (relative hazard ratio 1.38, 95% CI 1.12–1.71), respectively. Patients with any chemopreventive agent use had comparable liver function changes as evidenced by laboratory tests.

Conclusion: A non-trivial number of adult patients received chemopreventive agents for TB-DILI. However, prophylactic utilization of hepatoprotective agents was not associated with a reduction in TB-DILI risks.

Relevance of NAT2 genotype to anti-tuberculosis drug-induced hepatotoxicity in a Chinese Han population

BACKGROUND

Anti-tuberculosis drug-induced hepatotoxicity (ATDH) is a serious adverse drug reaction. The slow acetylator status of N-acetyl transferase 2 (NAT2) is a well-established risk factor for ATDH. One novel tagging single nucleotide polymorphism (tagging SNP), rs1495741, in NAT2 has been found to be highly predictive of the NAT2 phenotype. The present study aimed to validate the relationships between tagging SNP rs1495741 and ATDH in a Chinese Han population.

METHODS

A 1:2 matched case-control study was conducted using 235 ATDH cases and 470 controls. Conditional or unconditional logistic regression analysis was used to estimate the association between genotypes and the risk of ATDH according to the odds ratio (OR) with a 95% confidence interval (CI).

RESULTS

Patients carrying the AA genotype of tagging SNP rs1495741 were at higher risk of ATDH than those carrying the GG genotype (OR = 1.653, 95% CI = 1.050-2.601; p = 0.030). Subgroup analysis suggested that the AA genotype was a risk factor for ATDH in patients aged older than 50 years (OR = 2.486, 95% CI = 1.313-4.706; p = 0.005), weighing over 50 kg (OR = 1.757, 95% CI = 1.016-3.038; p = 0.044) or using a hepatoprotectant (OR = 1.611, 95% CI = 1.009-2.572; p = 0.046). Tagging SNP rs1495741 was not a significant risk factor for moderate and severe hepatotoxicity but appears to be relevant to risk of mild hepatotoxicity specifically.

CONCLUSIONS

The present study is the first to validate the relationships between the tagging SNP rs1495741 and ATDH in a Chinese population. Based on this case-control study, the NAT2 rs1495741 polymorphism is a risk factor for mild but not more severe ATDH in Chinese Han patients.