From latent to active TB: are IGRAs of any use?: Table 1

Lim, Wei Shen

doi:10.1136/thoraxjnl-2016-208955

Cited by 7 publications

(7 citation statements)

References 13 publications

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“…These factors make early diagnosis of tuberculosis a great challenge. The immunological diagnosis of tuberculosis has been studied more in recent years, with the interferon-γ release test (19) demonstrating high sensitivity and specificity, and being widely used in the diagnosis of tuberculosis; however, it is expensive and cannot discern between latent infections, active tuberculosis, and inactive tuberculosis well (20,21).…”

Section: Introductionmentioning

confidence: 99%

Characterization of antibody response against 16kD and 38kD of M. tuberculosis in the assisted diagnosis of active pulmonary tuberculosis

Hao¹,

Bai²,

Ding³

et al. 2020

Ann Transl Med

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Background: In view of the inability of traditional etiological methods to diagnose pulmonary tuberculosis rapidly and effectively, the antibody responses against 38kD and 16kD-antigens of Mycobacterium tuberculosis (M. tuberculosis) were both detected in order to obtain a better serological detection method for M. tuberculosis.Methods: M. tuberculosis-secreted protein 38kD and membrane protein 16kD were prokaryotically expressed and purified, and then used as detection antigens. A novel evolved immunoglobulin-binding molecule (NEIBM)-ELISA method was used to detect antibody levels against 38kD and 16kD in active tuberculosis patients (confirmed tuberculosis cases and clinically diagnosed cases), to explore the significance of these two antigens in serological detection of M. tuberculosis, and to study the diagnostic value of the combined detection of the two antigens in active pulmonary tuberculosis. Results:The results showed that the positive detection rates of the 16kD antigen and 38kD antigen of M. tuberculosis were higher (about 44%) in the confirmed cases of tuberculosis, and there was no significant difference in the positive detection rates of the two antigens (P=0.786). The combined detection of these two antigens showed that the positive detection rate could be increased to 61.5%, which was significantly better than the detection effect of the two antigens alone. The positive detection rates of 16kD and 38kD antigens were 26-30% in clinically diagnosed tuberculosis cases, which were lower than those in confirmed tuberculosis cases, and there was no significant difference in the positive detection rates of the two antigens (P=0.242). The detection effect of the two combined antigens was better than that of the 16kD and 38kD antigens alone, but the detection rate was still lower than that of the confirmed tuberculosis cases.Conclusions: This study found that the detection effect of 16kD and 38kD antigens was similar in confirmed cases and clinically diagnosed cases of pulmonary tuberculosis, and that the detection effect needs to be further improved. The combined detection of the two antigens showed a significantly better detection effect than the two antigens alone, suggesting that the combined detection of multiple antigens can be used for serological diagnosis of M. tuberculosis infection in clinic.

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Section: Introductionmentioning

confidence: 99%

Characterization of antibody response against 16kD and 38kD of M. tuberculosis in the assisted diagnosis of active pulmonary tuberculosis

Hao¹,

Bai²,

Ding³

et al. 2020

Ann Transl Med

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“…5 Data summarized by Lim suggests that in low TB-incidence countries IGRAs have a negative predictive value of >99.5% for development of active TB. 8 Table 1 shows 13 patients with negative IGRAs who would not be treated under IGRA-only screening, provided they remained IGRA negative at follow up.…”

Section: Discussionmentioning

confidence: 99%

“…9 Not treating these children appears to be a risky decision given the high risk of active TB and reduced TB screening sensitivity in this age group. 8,10…”

Section: Discussionmentioning

confidence: 99%

Optimizing the Threshold to Treat Children for Latent Tuberculosis Infection: A North-East England Experience

Porter

Whyte

Walters

et al. 2022

Pediatric Infectious Disease Journal

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“…However, due to its costs, environmental limitations, and difficulties in its supply, it is difficult to carry out screening in a low-income rural area (3). Interferon-γ release assay (IGRA) is commonly used in the diagnostic workup of Mtb but distinguishes poorly between TB and latent TB infection (LTBI) (4,5).…”

Section: Introductionmentioning

confidence: 99%

Construction of a risk model and deep learning network based on patients with active pulmonary tuberculosis and pulmonary inflammation

Zeng

Xie

et al. 2023

Biomed Rep

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Most patients with active pulmonary tuberculosis (TB) are difficult to be differentiated from pneumonia (PN), especially those with acid-fast bacillus smear-negative (AFB -) and interferon-γ release assay-positive (IGRA + ) results. Thus, the aim of the present study was to develop a risk model of low-cost and rapid test for the diagnosis of AFB -IGRA + TB from PN. A total of 41 laboratory variables of 204 AFB -IGRA + TB and 156 PN participants were retrospectively analyzed. Candidate variables were identified by t-statistic test and univariate logistic model. The logistic regression analysis was used to construct the multivariate risk model and nomogram with internal and external validation. A total of 13 statistically differential variables were compared between AFB -IGRA + TB and PN by false discovery rate (FDR) and odds ratio (OR). By integrating five variables, including age, uric acid (UA), albumin (ALB), hemoglobin (Hb) and white blood cell counts (WBC), a multivariate risk model with a concordance index (C-index) of 0.7 (95% CI: 0.61, 0.8) was constructed. The nomogram showed that UA and Hb acted as protective factors with an OR <1, while age, WBC and ALB were risk factors for TB occurrence. Internal and external validation revealed that nomogram prediction was consistent with the actual observations. Collectively, it was revealed that an integration of five biomarkers (age, UA, ALB, Hb and WBC) may be used to quickly predict TB in AFB -IGRA + clinical samples from PN.

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From latent to active TB: are IGRAs of any use?: Table 1

Cited by 7 publications

References 13 publications

Characterization of antibody response against 16kD and 38kD of M. tuberculosis in the assisted diagnosis of active pulmonary tuberculosis

Characterization of antibody response against 16kD and 38kD of M. tuberculosis in the assisted diagnosis of active pulmonary tuberculosis

Optimizing the Threshold to Treat Children for Latent Tuberculosis Infection: A North-East England Experience

Construction of a risk model and deep learning network based on patients with active pulmonary tuberculosis and pulmonary inflammation

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