Tuberculosis after liver transplantation in a large center in New York City: QuantiFERON((R))-TB Gold-based pre-transplant screening performance and active tuberculosis post-transplant Article

Full Text via DOI: 10.1111/tid.12845 PMID: 29359834 Web of Science: 000429423400019

Cited authors

  • Hand, Jonathan; Sigel, Keith; Huprikar, Shirish; Hamula, Camille; Rana, Meena


  • IntroductionPre-transplant screening for latent tuberculosis infection (LTBI) is a complex consideration that varies by institution. Inconsistent performance of interferon-gamma release assay (IGRA) further complicates screening. Data regarding LTBI screening outcomes and test characteristics in a large, foreign-born pre-transplant population within the United States are limited.; MethodsIn this retrospective study, patients who received QuantiFERON((R))-TB Gold (QFT) prior to liver transplantation (LT) were included. Characteristics of patients were compared by QFT result, and predictors of indeterminate results were evaluated. Similar comparisons were performed between patients who developed active TB and those who did not.; ResultsOf 148 patients screened, the rate of positive, indeterminate, and negative testing was 13.5% (20/148), 27% (40/148), and 59% (88/148), respectively. An indeterminate QFT result was more than 16 times more likely in patients with a Model for End-stage Liver Disease score >25 (odds ratio [OR] 16.7; 95% confidence interval [CI], 2.1-132.0; P=.008) and more than 4 times when performed in our institution's lab compared with commercial lab (OR 4.1; 95% CI, 1.34-12.44; P=.013). The overall TB incidence was 1102/100 000 transplant cases. No patient who developed active TB had a positive QFT. All were born outside of the United States (P=.06) and had pre-transplantation chest imaging demonstrating granulomatous disease (P=.006).; ConclusionOur experience further highlights the challenges of LTBI screening prior to LT and suggests that QFT may be a poor predictor of active TB in higher risk pre-transplant populations. Candidates should be screened as early as possible to optimize QFT performance, and local epidemiological data should be used to create institution-specific screening protocols in areas with large populations from TB-endemic regions. Management should consider TB risk factors, QFT, and imaging instead of reliance on QFT testing alone.

Publication date

  • 2018

Published in

International Standard Serial Number (ISSN)

  • 1398-2273


  • 20


  • 2