Incidence and risk factors of antituberculosis drug-induced liver injury in India: A systematic review and meta-analysis

Background Antituberculosis drug-induced liver injury (ATDILI) is a significant problem of tuberculosis treatment. This systematic review and meta‑analysis aimed at evaluating the incidence and risk factors of ATDILI in adult patients with tuberculosis in India. Methods Five electronic databases were searched comprehensively for studies on Indian adult patients with tuberculosis investigating the incidence and/or risk factors of ATDILI. The relevant data was pooled in a random or fixed-effect model to calculate the pooled incidence with a 95% confidence interval (CI), standardized mean difference (MD) or odds ratio (OR). Results Following the screening of 3221 records, 43 studies with 12,041 tuberculosis patients were finally included. Based on the random effect model, the pooled incidence of ATDILI was 12.6% (95% CI, 9.9-15.3%, p 2 = 95.1%). The pooled incidence was higher in patients with daily treatment regimen compared to the thrice weekly regimen (16.5% vs. 3.5%). The concurrent hepatitis B or C infection, alcohol consumption and underlying chronic liver disease were associated with high incidence of ATDILI. The pooled incidence of acute liver failure (ALF) among ATDILI patients was 6.78% (95% CI 3.9-9.5%). Female gender (OR 1.24), older age (MD 0.26), lean body mass index (OR 3.8), hypoalbuminemia (OR 3.09), N-acetyltransferase slow acetylator genotypes (OR 2.3) and glutathione S-transferases M null mutation (OR 1.6) were found to be associated with an increased risk of ATDILI. The pooled mortality rate of ATDILI patients was 1.72% (95% CI 0.4-3.0%) overall and 71.8% (95% CI 49.3-94.2%) in case of ALF. Conclusion Overall, 12.6% patients of tuberculosis in India developed ATDILI when combination of first-line antituberculosis drugs was used. An average of 7% of ATDILI patients progressed to ALF which had a high mortality rate. Older age, female, poor nutritional status and some genetic polymorphisms were identified as significant risk factors.