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ArticleBMC infectious diseases2025

Diagnostic accuracy of T-SPOT.TB and TST in detecting active tuberculosis in patients with rheumatic immune diseases: a fully matched comparative study.

Hangxing Wang, Yuanchun Li, Lifan Zhang, Xiaoqing Liu

Abstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hangxing WangDepartment of Internal medicine, Division of Infectious Diseases, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuanchun LiDepartment of Internal medicine, Division of Infectious Diseases, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lifan ZhangDepartment of Internal medicine, Division of Infectious Diseases, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. lifanzhang1982@126.com.
Xiaoqing LiuDepartment of Internal medicine, Division of Infectious Diseases, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. liuxqpumch@vip.163.com.

Funding

Peking Union Medical Foundation Chen Zhiqian Health Research and Decision Projectthe National High Level Hospital Clinical Research Funding 2022-PUMCH-C-013
6 · The paper itself

Abstract

BACKGROUND AND

objectivesPatients with rheumatic immune diseases (RD) are considered a high-risk population for developing active tuberculosis (ATB). Timely and accurate diagnosis of ATB in RD patients is critical for optimizing treatment outcomes and improving prognosis. Both interferon-gamma release assays (IGRA) and the tuberculin skin test (TST) are immunological methods employed in the diagnosis of tuberculosis. However, the diagnostic accuracy of these tests in RD patients, who often experience immune dysfunction, remains underexplored. This study aims to compare the diagnostic accuracy of TST and T-SPOT.TB in RD patients with suspected tuberculosis symptoms.

methodsThis prospective study included RD patients presenting with any of the following symptoms-fever, cough, night sweats, or unexplained weight loss (all symptoms recommended by the World Health Organization for tuberculosis screening)-from September 2014 to September 2015. Both T-SPOT.TB and TST were performed, and patients were categorized into ATB and non-ATB groups based on clinical diagnosis (including microbiologically confirmed and clinically diagnosed cases). Receiver operating characteristic (ROC) curves were constructed to compare the diagnostic accuracy of T-SPOT.TB and TST for ATB and to determine the optimal cutoff values. Sensitivity, specificity, predictive values, and likelihood ratios were calculated, along with 95% confidence intervals (CIs). The concordance between T-SPOT.TB and TST in diagnosing ATB was also evaluated.

resultsA total of 300 RD patients were enrolled in the study. Of these, 35 (11.7%) were diagnosed with ATB, 258 (86.0%) were excluded from ATB, and 7 (2.3%) had an unclear diagnosis. Among the RD patients, the ATB group exhibited significantly higher frequencies of night sweats (34.3% vs. 14.0%, p=0.002) and unexplained weight loss (17.1% vs. 3.1%, p<0.001) compared to the non-ATB group, while no significant differences were observed between the groups for fever and cough. The area under the ROC curve (AUROC) for T-SPOT.TB was 0.89 (95% CI 0.82-0.95), while the AUROC for TST was 0.74 (95% CI 0.63-0.84), with T-SPOT.TB demonstrating significantly superior diagnostic accuracy (AUROC difference 0.15, 95% CI 0.06-0.24, p=0.001) (Figure). The optimal cutoff for T-SPOT.TB in diagnosing ATB was 24 spot-forming cells (SFCs) per 10^6 peripheral blood mononuclear cells (PBMCs), with sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, and negative predictive value of 88.6%, 84.9%, 5.86, 0.13, 44.3%, and 98.2%, respectively. The optimal cutoff for TST was a 5mm induration diameter, yielding diagnostic metrics of 57.1%, 88.8%, 5.08, 0.48, 40.8%, and 93.9%, respectively. The sensitivity of T-SPOT.TB was significantly higher than that of TST (p=0.003), while no significant difference in specificity was observed (p=0.193). As the T-SPOT.TB spot count and TST induration diameter increased, the likelihood ratios for diagnosing ATB also increased. The agreement between T-SPOT.TB and TST in diagnosing ATB in RD patients was moderate (kappa=0.466, p<0.001), and parallel testing with TST did not improve the sensitivity of T-SPOT.TB.

conclusionIn RD patients with suspected ATB symptoms, both T-SPOT.TB and TST offer valuable diagnostic assistance. T-SPOT.TB demonstrates superior diagnostic accuracy, particularly in terms of sensitivity. Higher spot counts on T-SPOT.TB or larger induration diameters on TST should raise clinical suspicion for the presence of concurrent ATB.

Indexed as

Interferon-gamma Release TestsRheumatic DiseasesTuberculin TestTuberculosisAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesROC CurveSensitivity and SpecificityYoung AdultATBDiagnosisRheumatic immune diseasesTSPOT.TBTST

Identifiers

PMID40993510
PMCPMC12462211

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.