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Review of cross-sectional study on tongue swab Xpert MTB/RIF Ultra diagnostic accuracy in Vietnamese adolescents

Review of cross-sectional study on tongue swab Xpert MTB/RIF Ultra diagnostic accuracy in Vietnamese…
Photo by CDC / Unsplash
Key Takeaway
Note high acceptability but limited sensitivity of tongue swab Xpert for TB diagnosis in adolescents.

This cross-sectional diagnostic accuracy study evaluates the utility of tongue swab (TS) testing with Xpert MTB/RIF Ultra for tuberculosis investigation in adolescents. The research was conducted in Can Tho and An Giang provinces in southern Vietnam, involving 225 adolescents aged 10-19 who were recommended for investigation and had not received prior tuberculosis treatment. The comparator was sputum tested on Xpert and liquid culture, serving as a composite reference standard.

The primary outcomes assessed were diagnostic accuracy, including sensitivity and specificity, as well as diagnostic yield. Results indicated a sensitivity of 58.3% (90% CI 35.6, 78.0) and a specificity of 99.5% (90% CI 97.9, 99.9). The diagnostic yield among all diagnosed cases was 58.3%. Tuberculosis prevalence in the cohort was 5.3% (12/225).

Secondary outcomes included acceptability and participant characteristics. Of the 225 participants, 43% (96/225) reported tuberculosis-like symptoms, while 70% (157/225) were close contacts of a person recently diagnosed. Only 52% (116/225) could provide mucopurulent sputum. Safety data were not reported, but TS sampling was highly acceptable, with the short time and simplicity of collection considered favorable.

The authors acknowledge that sensitivity and diagnostic yield were relatively low, particularly among asymptomatic individuals who may not provide high-quality sputum. Despite this limitation, the high acceptability of TS sampling suggests it remains a promising sample for diagnostic algorithms in this setting.

Study Details

Sample sizen = 225
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Introduction Improved diagnostics are needed for people at risk of tuberculosis, especially adolescents. Tongue swab (TS) molecular testing has emerged as a promising strategy for tuberculosis diagnosis. We evaluated diagnostic accuracy and acceptability of Xpert MTB/RIF Ultra (Xpert) using TS samples for tuberculosis detection among adolescents. Methods We conducted a cross-sectional diagnostic accuracy study with consecutive recruitment in Vietnam. Adolescents aged 10-19 who were recommended to undergo investigation for tuberculosis and had not received tuberculosis treatment in the past years were eligible. Participants provided TS and sputum samples and completed a structured survey regarding sampling experiences. TS was tested on Xpert, with sputum tested on Xpert and liquid culture. We utilised a composite reference standard of a positive result on sputum Xpert or sputum culture to define disease status. Sensitivity, specificity, and diagnostic yield were calculated for TS Xpert. Results From July to December 2025, we enrolled 225 adolescents from Can Tho and An Giang provinces in southern Vietnam. Fewer than half (96/225, 43%) the participants exhibited a tuberculosis -like symptom, and the majority (157/225, 70%) were close contacts of a person recently diagnosed with tuberculosis. TS were collected from all adolescents, while 116 (52%) could provide mucopurulent sputum. Tuberculosis prevalence was relatively low (12/225, 5.3%). TS Xpert sensitivity (90% CI) and specificity (90% CI) were 58.3% (35.6, 78.0) and 99.5% (97.9, 99.9), respectively. Diagnostic yield among all diagnosed was 58.3% (7/12). TS sampling was highly acceptable to adolescents; the short time and simplicity of collecting TS were considered favourably. Conclusions The sensitivity and diagnostic yield of TS Xpert was relatively low among adolescents recommended for tuberculosis investigation, which includes asymptomatic individuals who may not provide high quality sputum. Specificity was excellent, and everyone could provide a TS. TS high acceptability indicates it remains a promising sample for diagnostic algorithms.
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