| Title |
QuantiFERON conversion following tuberculin administration is common in HIV infection and relates to baseline response
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2016
|
| DOI | 10.1186/s12879-016-1875-6 |
| Pubmed ID | |
| Authors |
Hanif Esmail, Friedrich Thienemann, Tolu Oni, Rene Goliath, Katalin A. Wilkinson, Robert J. Wilkinson |
| Abstract |
HIV-1 infection impairs tuberculosis (TB) specific immune responses affecting the diagnosis of latent TB. We aimed to (1) determine the proportion of HIV-1-infected adults with a negative QuantiFERON®-TB Gold in-tube (QFT-GIT) and Tuberculin skin testing (TST) that convert to QFT-GIT positive following TST, and (2) evaluate the relationship between conversion and baseline QFT-GIT results. HIV-1 infected adults being screened for a TB vaccine study in South Africa underwent QFT-GIT followed by TST. As per protocol, QFT-GIT was repeated if randomization was delayed allowing for evaluation of TST boosting in a proportion of participants. Of the 22 HIV-1 infected, TST and QFT-GIT negative adults (median CD4 477/mm(3) IQR 439-621) who had QFT-GIT repeated after median 62 days (IQR 49-70), 40.9 % (95 % CI 18.6-63.2 %) converted. Converters had a significantly greater increase in the background subtracted TB antigen response (TBAg-Nil - all units IU/mL) following TST, 0.82 (IQR 0.39-1.28) vs 0.03 (IQR -0.05-0.06), p = 0.0001. Those who converted also had a significantly higher baseline TBAg-Nil 0.21(IQR 0.17-0.26) vs 0.02(IQR 0.01-0.07), p = 0.002. Converters did not differ with regard to CD4 count or ART status. ROC analysis showed a baseline cut off of 0.15 correctly classified 86.4 % of converters with 88.9 % sensitivity. Our findings support the possibility that there are 2 distinct groups in an HIV-1 infected population with negative QFT-GIT and TST; a true negative group and a group showing evidence of a weak Mtb specific immune response that boosts significantly following TST resulting in conversion of the test result that may represent false negatives. Further evaluation of whether a lower cut off may improve sensitivity of QFT-GIT in this population is warranted. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 10 | 19% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 40% |
| Immunology and Microbiology | 6 | 11% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 15 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2016.
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#18,805,293
of 23,305,591 outputs
Outputs from BMC Infectious Diseases
#5,705
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#244,026
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Outputs of similar age from BMC Infectious Diseases
#152
of 212 outputs
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