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Case Reports
. 2013 Jan;61(1):22-32.
doi: 10.1053/j.ajkd.2012.06.004. Epub 2012 Jul 10.

Cost-effectiveness of latent tuberculosis screening before steroid therapy for idiopathic nephrotic syndrome in children

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Case Reports

Cost-effectiveness of latent tuberculosis screening before steroid therapy for idiopathic nephrotic syndrome in children

Benjamin L Laskin et al. Am J Kidney Dis. 2013 Jan.

Abstract

Background: Guidelines differ on screening recommendations for latent tuberculosis infection (LTBI) prior to immunosuppressive therapy. We aimed to determine the most cost-effective LTBI screening strategy before long-term steroid therapy in a child with new-onset idiopathic nephrotic syndrome.

Study design: Markov state-transition model.

Setting & population: 5-year-old boy with new-onset idiopathic nephrotic syndrome.

Model, perspective, & timeframe: The Markov model took a societal perspective over a lifetime horizon.

Intervention: 3 strategies were compared: universal tuberculin skin testing (TST), targeted screening using a risk-factor questionnaire, and no screening. A secondary model included the newer interferon γ release assays (IGRAs), requiring only one visit and having greater specificity than TST.

Outcomes: Marginal cost-effectiveness ratios (2010 US dollars) with effectiveness measured as quality-adjusted life-years (QALYs).

Results: At an LTBI prevalence of 1.1% (the average US childhood prevalence in our base case), a no-screening strategy dominated ($2,201; 29.3356 QALYs) targeted screening ($2,218; 29.3356 QALYs) and universal TST ($2,481; 29.3347 QALYs). At a prevalence >10.3%, targeted screening with a risk-factor questionnaire was the most cost-effective option. Higher than a prevalence of 58.5%, universal TST was preferred. In the secondary model, targeted screening with a questionnaire followed by IGRA testing was cost-effective compared with no screening in the base case when the LTBI prevalence was >4.9%.

Limitations: There is no established gold standard for the diagnosis of LTBI. Results of any modeling task are limited by the accuracy of available data.

Conclusions: Prior to starting steroid therapy, only patients in areas with a high prevalence of LTBI will benefit from universal TST. As more evidence becomes available about the use of IGRA testing in children, the assay may become a component of cost-effective screening protocols in populations with a higher burden of LTBI.

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Figures

Figure 1
Figure 1. Model structure
Patients enter the first six months of the model with idiopathic nephrotic syndrome. Those surviving the first six months of the model enter the four-state Markov state-transition model either well or with LTBI and remain in it until death. TST, tuberculin skin test; IGRA, interferon-γ release-assay; +, positive; TB, tuberculosis; LTBI, latent tuberculosis infection; INH, isoniazid; −, negative.
Figure 2
Figure 2. Two-way sensitivity analysis examining the risk of LTBI reactivation from immunosuppression and the LTBI prevalence in the primary model
Solid lines represent the willingness to pay thresholds of $100,000/QALY demarcating the tested strategies. As the LTBI prevalence and relative risk of reactivation from immunosuppression increase from the base-case (relative hazard of 7.7 with a LTBI prevalence of 1.1%), targeted screening becomes preferred over no-screen. At a higher LTBI prevalence and relative risk of LTBI reactivation from immunosuppression, universal TST is preferred over targeted screening. TST, tuberculin skin test; LTBI, latent tuberculosis infection; QALY, quality-adjusted life years.
Figure 3
Figure 3. Tornado plot (one-way sensitivity analyses, secondary model) examining targeted IGRA versus no-screen
Parameters are varied across 95% confidence intervals or range of plausible inputs (i.e. the cost of IGRA testing was varied by ±50% of the base-case value of $84.56) with the model most sensitive to inputs (upper and lower values; base-case in italics) at the top of the figure with the widest bars. Arrows show mCERs >$1,000,000/QALY or where the no-screen strategy dominates.

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