Skip to main content

Advertisement

Log in

Evaluation of a lateral flow assay–based IFN-γ release assay as a point-of-care test for the diagnosis of latent tuberculosis infection

  • Original Article
  • Published:
Clinical Rheumatology Aims and scope Submit manuscript

Abstract

Introduction

We compared the performance of a fluorescence lateral flow assay (ichroma™ IGRA-TB) with the QuantiFERON-TB Gold PLUS (QFT-PLUS) for the diagnosis of latent tuberculosis infection (LTBI) in patients with immune-mediated inflammatory diseases (IMID) prior to receiving biologics therapy.

Method

The comparability of the ichroma™ IGRA-TB assay with the QFT-PLUS assay for the diagnosis of LTBI was determined in prospectively enrolled patients with IMID prior to receiving biologics between August 2018 and October 2019. To determine the best cut-off value of the ichroma™ IGRA-TB, an ROC curve analysis was performed.

Results

Patients with IMID (n = 145) had inflammatory bowel disease (n = 83; 57.2%), rheumatoid arthritis (n = 44; 30.3%), or spondyloarthropathy (n = 18; 12.4%). The median age was 40.5 (interquartile range: 27.0–56.0), 72 (49.7%) were men, and 140 (96.6%) received BCG vaccination. With the manufacturer-recommended cut-off values, 11 (7.6%) and 20 (13.8%) patients showed positive results with the ichroma™ IGRA-TB and QFT-PLUS tests, respectively. The overall agreement between the two tests was 91.0% with a Cohen’s kappa value of 0.535 (95% confidence interval: 0.317–0.754). ROC curve analysis of the QFT-PLUS results showed that a cut-off value of > 0.21 IU/mL would improve the performance of the ichroma™ IGRA-TB. Using the new cut-off value, the concordance rate was improved to 93.1% with a Cohen’s kappa value of 0.668 (95% confidence interval: 0.478–0.858).

Conclusions

The ichroma™ IGRA-TB could be used as a point-of-care test for LTBI screening in IMID patients before starting biologics, especially in resource-limited settings.

Key Points

• The ichroma™ IGRA-TB is an automated fluorescence lateral flow assay–based IGRA.

• The test has advantages like short turn-around time, low-cost, and ease of use.

• The ichroma™ IGRA-TB showed high agreement with the QuantiFERON-TB Gold In-Tube in patients with chronic immune-mediated inflammatory diseases before starting biologics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

Not applicable.

References

  1. (2019) Global tuberculosis report 2019, Vol. 2020. Geneva: World Health Organization

  2. Getahun H, Matteelli A, Chaisson RE, Raviglione M (2015) Latent Mycobacterium tuberculosis infection. N Engl J Med 372:2127–2135

    Article  CAS  Google Scholar 

  3. Houben RM, Dodd PJ (2016) The global burden of latent tuberculosis infection: a re-estimation using mathematical modelling. PLoS Med 13:e1002152

    Article  Google Scholar 

  4. Comstock GW, Livesay VT, Woolpert SF (1974) The prognosis of a positive tuberculin reaction in childhood and adolescence. Am J Epidemiol 99:131–138

    Article  CAS  Google Scholar 

  5. Vynnycky E, Fine PE (2000) Lifetime risks, incubation period, and serial interval of tuberculosis. Am J Epidemiol 152:247–263

    Article  CAS  Google Scholar 

  6. Trauer JM, Moyo N, Tay EL, Dale K, Ragonnet R, McBryde ES et al (2016) Risk of active tuberculosis in the five years following infection . . . 15%? Chest 149:516–525

    Article  Google Scholar 

  7. Keane J, Gershon S, Wise RP, Mirabile-Levens E, Kasznica J, Schwieterman WD, Siegel JN, Braun MM (2001) Tuberculosis associated with infliximab, a tumor necrosis factor alpha-neutralizing agent. N Engl J Med 345:1098–1104

    Article  CAS  Google Scholar 

  8. Gomez-Reino JJ, Carmona L, Valverde VR, Mola EM, Montero MD (2003) Treatment of rheumatoid arthritis with tumor necrosis factor inhibitors may predispose to significant increase in tuberculosis risk: a multicenter active-surveillance report. Arthritis Rheum 48:2122–2127

    Article  CAS  Google Scholar 

  9. Seong SS, Choi CB, Woo JH, Bae KW, Joung CL, Uhm WS, Kim TH, Jun JB, Yoo DH, Lee JT, Bae SC (2007) Incidence of tuberculosis in Korean patients with rheumatoid arthritis (RA): effects of RA itself and of tumor necrosis factor blockers. J Rheumatol 34:706–711

    CAS  PubMed  Google Scholar 

  10. Kim HW, Park JK, Yang JA, Yoon YI, Lee EY, Song YW, Kim HR, Lee EB (2014) Comparison of tuberculosis incidence in ankylosing spondylitis and rheumatoid arthritis during tumor necrosis factor inhibitor treatment in an intermediate burden area. Clin Rheumatol 33:1307–1312

    Article  Google Scholar 

  11. (2020) WHO consolidated guideline on tuberculosis: tuberculosis preventive treatment, Vol. 2020. Geneva: World Health Organization. Licence: CC BY-NC-SA 3.0 IGO

  12. Goletti D, Sanduzzi A, Delogu G (2014) Performance of the tuberculin skin test and interferon-gamma release assays: an update on the accuracy, cutoff stratification, and new potential immune-based approaches. J Rheumatol Suppl 91:24–31

    Article  CAS  Google Scholar 

  13. Mazurek GH, LoBue PA, Daley CL, Bernardo J, Lardizabal AA, Bishai WR, Iademarco MF, Rothel JS (2001) Comparison of a whole-blood interferon gamma assay with tuberculin skin testing for detecting latent Mycobacterium tuberculosis infection. Jama 286:1740–1747

    Article  CAS  Google Scholar 

  14. Wang L, Turner MO, Elwood RK, Schulzer M, FitzGerald JM (2002) A meta-analysis of the effect of Bacille Calmette Guerin vaccination on tuberculin skin test measurements. Thorax 57:804–809

    Article  CAS  Google Scholar 

  15. Mori T, Sakatani M, Yamagishi F, Takashima T, Kawabe Y, Nagao K, Shigeto E, Harada N, Mitarai S, Okada M, Suzuki K, Inoue Y, Tsuyuguchi K, Sasaki Y, Mazurek GH, Tsuyuguchi I (2004) Specific detection of tuberculosis infection: an interferon-gamma-based assay using new antigens. Am J Respir Crit Care Med 170:59–64

    Article  Google Scholar 

  16. Kang YA, Lee HW, Yoon HI, Cho B, Han SK, Shim YS, Yim JJ (2005) Discrepancy between the tuberculin skin test and the whole-blood interferon gamma assay for the diagnosis of latent tuberculosis infection in an intermediate tuberculosis-burden country. Jama 293:2756–2761

    Article  CAS  Google Scholar 

  17. O’Garra A, Redford PS, McNab FW, Bloom CI, Wilkinson RJ, Berry MP (2013) The immune response in tuberculosis. Annu Rev Immunol 31:475–527

    Article  Google Scholar 

  18. Redelman-Sidi G, Sepkowitz KA (2013) IFN-gamma release assays in the diagnosis of latent tuberculosis infection among immunocompromised adults. Am J Respir Crit Care Med 188:422–431

    Article  CAS  Google Scholar 

  19. Go U, Park M, Kim U-N, Lee S, Han S, Lee J, Yang J, Kim J, Park S, Kim Y, Yoo H, Cha J, Park W, Kang H, Kim H, Park G, Kim M, Park O, Son H, Cho E, Na K, Kwon Y, Lee Y, Lee KH, Jeong E, Lee D, Yang BG, Jeon BY, Lee JK, Korea Tuberculosis Epidemic Investigation Service (2018) Tuberculosis prevention and care in Korea: evolution of policy and practice. J Clin Tuberc Mycobact Dis 11:28–36

    Google Scholar 

  20. Barcellini L, Borroni E, Brown J, Brunetti E, Campisi D, Castellotti PF, Codecasa LR, Cugnata F, di Serio C, Ferrarese M, Goletti D, Lipman M, Rancoita PMV, Russo G, Tadolini M, Vanino E, Cirillo DM (2016) First evaluation of QuantiFERON-TB Gold Plus performance in contact screening. Eur Respir J 48:1411–1419

    Article  CAS  Google Scholar 

  21. Moon HW, Gaur RL, Tien SS, Spangler M, Pai M, Banaei N (2017) Evaluation of QuantiFERON-TB Gold-Plus in health care workers in a low-incidence setting. J Clin Microbiol 55:1650–1657

    Article  Google Scholar 

  22. Pieterman ED, Liqui Lung FG, Verbon A, Bax HI, Ang CW, Berkhout J, Blaauw G, Brandenburg A, van Burgel ND, Claessen A, van Dijk K, Heron M, Hooghiemstra M, Leussenkamp-Hummelink R, van Lochem E, van Loo IHM, Mulder B, Ott A, Pontesilli O, Reuwer A, Rombouts P, Saegeman V, Scholing M, Vainio S, de Steenwinkel JEM (2018) A multicentre verification study of the QuantiFERON((R))-TB Gold Plus assay. Tuberculosis (Edinb) 108:136–142

    Article  CAS  Google Scholar 

  23. Theel ES, Hilgart H, Breen-Lyles M, McCoy K, Flury R, Breeher LE et al (2018) Comparison of the QuantiFERON-TB Gold Plus and QuantiFERON-TB Gold In-Tube interferon gamma release assays in patients at risk for tuberculosis and in health care workers. J Clin Microbiol 56:e00614–e00618

    CAS  PubMed  PubMed Central  Google Scholar 

  24. Venkatappa TK, Punnoose R, Katz DJ, Higgins MP, Banaei N, Graviss EA et al (2019) Comparing QuantiFERON-TB Gold Plus with other tests to diagnose Mycobacterium tuberculosis infection. J Clin Microbiol 57:e00985–e00919

    Article  CAS  Google Scholar 

  25. Kim SH, Jo KW, Shim TS (2020) QuantiFERON-TB Gold PLUS versus QuantiFERON- TB Gold In-Tube test for diagnosing tuberculosis infection. Korean J Intern Med 35:383–391

    Article  CAS  Google Scholar 

  26. Won D, Park JY, Kim HS, Park Y (2020) Comparative Results of QuantiFERON-TB Gold In-Tube and QuantiFERON-TB Gold Plus assays for detection of tuberculosis infection in clinical samples. J Clin Microbiol 58:e01854–e01819

    Article  CAS  Google Scholar 

  27. Hur YG, Hong JY, Choi DH, Kim A, Park SY, Kwon M, Kang K, Lee JM, Dockrell HM, Lee Y, Joo H, Cho SN (2019) A feasibility study for diagnosis of latent tuberculosis infection using an IGRA Point-of-Care Platform in South Korea. Yonsei Med J 60:375–380

    Article  CAS  Google Scholar 

  28. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

    Article  CAS  Google Scholar 

  29. Metcalfe JZ, Cattamanchi A, McCulloch CE, Lew JD, Ha NP, Graviss EA (2013) Test variability of the QuantiFERON-TB gold in-tube assay in clinical practice. Am J Respir Crit Care Med 187:206–211

    Article  CAS  Google Scholar 

  30. Jonsson J, Westman A, Bruchfeld J, Sturegård E, Gaines H, Schön T (2017) A borderline range for Quantiferon Gold In-Tube results. PLoS One 12:e0187313

    Article  Google Scholar 

  31. (2020) Korean guidelines for tuberculosis, 4th ed, Vol. 2020. Cheongju: Korea Centers for Disease Control and Prevention

Download references

Code availability

Not applicable.

Funding

This work was supported in part by the Korea Health Technology R&D Project (HI17C1000), through the Korea Health Industry Development Institute, from the Ministry of Health & Welfare, South Korea.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tae Sun Shim.

Ethics declarations

Ethics approval

This study was approved by the Institutional Review Board of Asan Medical Center (IRB No.: 2017-1303). All participants provided written informed consent.

Consent to participate

Obtained.

Consent to publication

Obtained.

Disclosures

None.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, H.H., Choi, D.H., Kim, JR. et al. Evaluation of a lateral flow assay–based IFN-γ release assay as a point-of-care test for the diagnosis of latent tuberculosis infection. Clin Rheumatol 40, 3773–3781 (2021). https://doi.org/10.1007/s10067-021-05663-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10067-021-05663-1

Keywords

Navigation