Within-Subject Interlaboratory Variability of QuantiFERON-TB Gold In-Tube Tests

Abstract

Background: The QuantiFERONH(registered trademark)-TB Gold In-Tube test (QFT-GIT) is a viable alternative to the tuberculin skin test (TST) for detecting Mycobacterium tuberculosis infection. However, within-subject variability may limit test utility. To assess variability we compared results from the same subjects when QFT-GIT enzyme-linked immunosorbent assays (ELISAs) were performed in different laboratories. Methods: Subjects were recruited at two sites and blood was tested in three labs. Two labs used the same type of automated ELISA workstation, 8-point calibration curves, and electronic data transfer. The third lab used a different automated ELISA workstation, 4-point calibration curves, and manual data entry. Variability was assessed by interpretation agreement and comparison of interferon-gamma (IFN-gamma) measurements. Data for subjects with discordant interpretations or discrepancies in TB Response >0.05 IU/mL were verified or corrected, and variability was reassessed using a reconciled dataset. Results: Ninety-seven subjects had results from three labs. Eleven (11.3%) had discordant interpretations and 72 (74.2%) had discrepancies .0.05 IU/mL using unreconciled results. After correction of manual data entry errors for 9 subjects, and exclusion of 6 subjects due to methodological errors, 7 (7.7%) subjects were discordant. Of these, 6 (85.7%) had all TB Responses within 0.25 IU/mL of the manufacturer's recommended cutoff. Non-uniform error of measurement was observed with greater variation in higher IFN-c measurements. Within-subject standard deviation for TB Response was as high as 0.16 IU/mL, and limits of agreement ranged from -0.46 to 0.43 IU/mL for subjects with mean TB Response within 0.25 IU/mL of the cutoff. Conclusion: Greater interlaboratory variability was associated with manual data entry and higher IFN-c measurements. Manual data entry should be avoided. Because variability in measuring TB Response may affect interpretation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 06, 2012
Accession Number
ADA567099

Entities

People

  • Brandon H. Campbell
  • Carlos Barrera
  • Donald J. Goodwin
  • Jamaria Bohanon
  • Kevin B. West
  • Lanette R. Hamilton
  • Laura J. Daniels
  • Laura Racster
  • Stella O. Chuke
  • William C. Whitworth

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Agreements
  • Air Force
  • Air Force Facilities
  • Data Science
  • Databases
  • Diseases And Disorders
  • Infection
  • Information Science
  • Skin Tests
  • Standards
  • Statistical Analysis
  • Statistics
  • Test Methods
  • Tuberculosis
  • United States
  • Wound Infections

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Educational Psychology
  • Immunology

Technology Areas

  • Microelectronics