Abstract
Background
Improved diagnostics are needed for tuberculosis (TB) among adolescents. Tongue swab (TS) molecular testing is a promising strategy for TB testing. We evaluated diagnostic accuracy and acceptability of Xpert MTB/RIF Ultra (“Xpert”) using TSs for TB detection in adolescents.
Methods
We conducted a cross-sectional diagnostic accuracy study in southern Vietnam. Adolescents aged 10–19 years who were recommended to undergo investigation for TB were eligible. Participants provided TS and sputum samples and were surveyed regarding sampling experiences. TS samples were tested on Xpert, with sputum tested on Xpert and liquid culture. We utilized a composite reference standard of a positive sputum Xpert or culture result to define disease status. Sensitivity, specificity, and diagnostic yield were calculated for TS Xpert.
Results
From July to December 2025, we enrolled 225 adolescents. Most participants (157/225 [70%]) were close contacts of a person recently diagnosed with TB and many (129/225 [57%]) did not exhibit symptoms of presumptive TB. All adolescents could provide a TS, while 116 (52%) could produce mucopurulent sputum. Tuberculosis prevalence was relatively low (12/225 [5.3%]). TS Xpert sensitivity and specificity were 58.3% (90% confidence interval [CI], 35.6%–78.0%) and 99.5% (90% CI, 97.9%–99.9%), respectively. TS diagnostic yield among all diagnosed was 58.3% (7/12). TS sampling was highly acceptable to adolescents; the quickness and simplicity of collecting TSs were considered favorably.
Conclusions
TS Xpert sensitivity and diagnostic yield were relatively low among adolescents recommended for TB investigation. All participants were able to provide a TS. Specificity was excellent. TS's high acceptability indicates it remains a promising sample for diagnostic algorithms.
Keywords: adolescents, alternative samples, tuberculosis, diagnostics, molecular testing
In our diagnostic accuracy study of tongue swab Xpert MTB/RIF Ultra among adolescents recommended for tuberculosis investigation in Vietnam, sensitivity was relatively low, but specific was excellent. Acceptability of tongue swab testing was high, suggesting tongue swab testing should continue to be improved for this age group.
Graphical Abstract
Graphical Abstract.

This graphical abstract is also available at Tidbit: https://tidbitapp.io/tidbits/tongue-swab-xpert-mtb-rif-ultra-testing-for-tuberculosis-in-adolescents-a-cross-sectional-study-of-diagnostic-accuracy-and-acceptability
With over 10 million incident cases each year, but only 8 million cases notified to national tuberculosis programs (NTPs) [1], tuberculosis (TB) persists as a serious global health challenge. Adolescents, defined by the World Health Organization (WHO) as people aged 10–19 years [2], are estimated to experience approximately 17% of new TB cases globally [3]. WHO's child and adolescent “TB Roadmap” policy document calls for adolescent-specific TB strategies and recognizes that their age-specific needs must be met to improve health outcomes [4]. However, a lack of adolescent-specific data may prevent countries from implementing approaches that are tailored to adolescents’ physical and social needs.
The importance of including children and adolescents in evaluating new diagnostic tools and approaches was highlighted in a recent consensus report aiming to accelerate the pipeline for pediatric TB diagnostics [5]. In particular, the document emphasizes that tests utilizing a pathogen-based measurand should be prioritized for evaluation in young people, as the test target is consistent across ages and demographics. This rationale extends to the need to investigate alternative sample types, like tongue swabs (TSs), with widely available assays, such as Xpert MTB/RIF Ultra (Cepheid, USA; hereafter “Xpert”) [6].
Promisingly, WHO has recently recommended the use of TSs for TB testing on low-complexity automated nucleic acid amplification tests, including Xpert, when sputum and other respiratory samples cannot be obtained [7]. The recommendation is applicable to adults and adolescents, although data informing the recommendation were mainly from adults with presumptive TB disease. A systematic review of molecular tests for TB using oral swabs included 20 studies, though only 6 recruited participants in the adolescent age range [8]. Since the review's publication, molecular testing using TSs has proven to be most sensitive and specific, and primary data are accumulating quickly, as evidenced by WHO's new policy recommendation. However, an evidence gap persists regarding diagnostic accuracy of TS molecular testing in the adolescent age group. To our knowledge, no published work has focused specifically on TS molecular TB testing in an adolescent population. This means that adolescents may be having adult recommendations applied to them, without knowing if they are appropriate or fit for purpose [9].
Therefore, we aimed to estimate the diagnostic accuracy and yield of TSs on Xpert MTB/RIF Ultra for detecting TB among adolescents aged 10–19 years in Vietnam. Additionally, we aimed to investigate adolescents’ experiences and acceptability of this testing scheme.
MATERIALS AND METHODS
Study Design and Setting
We conducted a multisite, cross-sectional diagnostic accuracy study. Participants were recruited from Can Tho and An Giang provinces in the Mekong Delta region of southern Vietnam. Both provinces have high incidence rates of TB, at over 120 per 100 000 [10]. Study recruitment occurred at the Can Tho Lung Hospital (formerly Can Tho Tuberculosis and Lung Diseases Hospital), a tertiary hospital at the edge of Can Tho City, Can Tho, and at Long Xuyen City Health Centre, a secondary hospital in Long Xuyen, An Giang. Participants also were recruited at decentralized, community screening events organized by the NTP, where close contacts of people with newly diagnosed TB were invited to undergo testing for TB. Consecutive adolescents in these settings were prospectively invited to participate in our study. All testing procedures were conducted at the Can Tho Lung Hospital laboratory by trained laboratory technicians.
Eligibility Criteria
Adolescents aged 10–19 years who were recommended to undergo investigation for TB were eligible to participate. Reasons for TB investigation include (1) living with a contact who had recently received a TB diagnosis, (2) presumptive disease based on signs/symptoms of TB, and (3) chest X-ray (CXR) abnormalities. Participants must have been capable of providing informed consent and must not have received TB treatment in the previous 12 months. Concurrent extrapulmonary TB was not an exclusion criterion, but the participant must have been recommended for pulmonary TB assessment.
Procedures
All participant activities occurred at a single study visit. Participants were asked to not eat or drink for 30 minutes before sample collection. Swabs (Copan FLOQswab 520CS01) were first collected by swabbing the back of the tongue for 15 (to a maximum of 30) seconds with a sweeping and rolling motion. Swab heads were snapped off into dry 2-mL cryovial tubes and stored in a cold box (2°C–8°C) for transport to the laboratory; all TSs were tested within 24 hours. Each participant was then coached to provide 2 sputum samples. Sputum appearance was documented by study staff as “mucopurulent,” “saliva,” “blood-tinged,” or “food debris” and samples were tested regardless of appearance. After providing TS and sputum samples, participants were asked by study staff to complete a short paper-based survey of questions structured using a Likert scale (strongly disagree, disagree, neutral, agree, strongly agree) pertaining to their experience of sample collection.
Separately, laboratory technicians who collected swabs and/or performed TS Xpert for the study each completed 1 short semi-structured interview. Technicians were asked prespecified questions developed by the study team regarding perceived TS sampling feasibility, processing, and running. Interviews were conducted at the Can Tho Lung Hospital in Vietnamese by a native Vietnamese-speaking team member (L. H. C.). Interviews were recorded and stored on a password-protected shared drive.
Our index test was TS Xpert Ultra. In brief, once brought to the laboratory, 700 μL of 2:1 Cepheid sample reagent:phosphate buffer solution was adding to each TS-containing cryotube. TS-buffer tubes were vortexed and then incubated for 15 minutes. Phosphate buffer (1.5 mL) was added to each Xpert cartridge. After TS incubation was completed, 0.5 mL of fluid from the TS-buffer tube was pipetted into the buffer-containing cartridge. Xpert tests were then run normally on the GeneXpert platform. At the time of index testing, laboratory staff were blinded to participants’ disease status and demographic information.
Digital or conventional CXR was completed following local protocols for each participant and were read by an experienced physician or TB doctor. Images were scored as “normal,” “abnormal, inconsistent with TB,” or “abnormal, consistent with TB.”
One sputum each was run on liquid culture (BD BACTEC MGIT, BD, USA) and on Xpert; all samples were tested fresh without freezing. The composite reference standard (CRS) was defined as either a positive result for “MTB detection” on sputum Xpert or confirmed growth of Mycobacterium tuberculosis (Mtb) on liquid culture, or both. “Trace” results were considered positive for analyses. Reference standard testing was performed according to manufacturer's instructions. Study data were managed using Research Electronic Data Capture (REDCap) hosted at the University of Sydney [11].
Statistical Analyses
The primary outcome measures were sensitivity and specificity with accompanying 90% confidence intervals (CIs) for TS Xpert. Secondary outcomes included diagnostic yield of TS Xpert; rates of error and invalid results; acceptability of TS sampling by participants; and perceived acceptability of TS Xpert testing by laboratory workers. A precision-based approach was used to estimate sample size [12, 13]; to calculate 90% CIs with a width of ±20% around the sensitivity estimate, we estimated we would need 206 individuals. To account for possible unsuccessful test results, we aimed to recruit 225 participants.
Demographic features were summarized using descriptive statistics. Sensitivity and specificity were calculated following the intention-to-diagnose principle [14, 15], with unsuccessful results among reference standard–positive or –negative groups analyzed within that disease stratum only [14]. A complete case analysis (ie, individuals with valid positive or negative results on first test runs only, ie, not including results of repeat testing) was also conducted. Diagnostic yield was calculated among all diagnosed with TB via CRS and among all tested [16], and among those only producing salivary samples. Differences between participants’ experiences and acceptability of TS and sputum sampling were tested using Wilcoxon rank-sum tests. Tabular analyses were conducted using epiR [17]. All analyses were run using R version 4.5.1 [18].
Analysis of Interviews
Qualitative data from laboratory staff interviews were assessed through interview responses, reflecting the discussion guide (see Supplementary Material 1) and commonalities and differences between the 3 participants’ responses. We used these data to contextualize and interpret the quantitative data and did not perform any further abductive or interpretive analysis.
Patient Consent
All participants provided informed consent. Per local regulations, for adolescents aged 10–15 years, participant verbal assent and parental consent were obtained; for participants aged 16 and 17 years, written participant and parental consent were obtained; and participants aged 18 and 19 years provided their own written consent. Participants found to have TB on reference standard testing were referred for usual care in the Vietnamese NTP. Index test results did not inform usual care.
Ethical approval was obtained from the University of Sydney Human Research Ethics Committee (2024/HE001890), Australia, as well as the Institutional Review Board of Can Tho Lung Hospital (then known as Can Tho Tuberculosis and Lung Diseases Hospital) (483/QĐ–BVLBP), Vietnam.
RESULTS
Between 2 July and 26 December 2025, we enrolled 225 adolescents aged 10–19 years (Supplementary Figure 1), of whom 157 (70%) were close contacts of people with newly diagnosed TB, 63 (28%) presented with symptoms of presumptive TB, and 5 (2%) were recommended for further TB investigation due to abnormal CXRs.
Median (Q1, Q3) participant age was 16 years (13, 18 years) and a minority of participants (96/225 [43%)] were symptomatic (Table 1); cough was the most frequently reported respiratory symptom (Table 1), with a median duration of 1 week. Nonrespiratory symptoms (Supplementary Table 1) were not commonly reported (28/225 [12%]). All participants were investigated for pulmonary TB without concurrent extrapulmonary TB. Altogether, 15 participants (15/225 [6.7%]) had CXR abnormalities consistent with signs of TB, with 11 (11/15 [73%]) reporting concurrent cough. No one reported previously receiving TB treatment.
Table 1.
Study Population Features
| Characteristic | Total Count (N = 225) |
|---|---|
| Age, y | |
| Median (Q1, Q3) | 16 (13, 18) |
| Minimum, maximum | 10, 19 |
| Gender | |
| Girl/woman | 102 (45%) |
| Boy/man | 123 (55%) |
| HIV status | |
| Positive | 0 (0%) |
| Negative | 4 (1.8%) |
| Not tested | 221 (98%) |
| Comorbidities | |
| None | 222 (99%) |
| Epilepsy | 1 (0.4%) |
| Tonsilitis | 1 (0.4%) |
| Sinusitis | 1 (0.4%) |
| Diabetes mellitus | 0 (0.0%) |
| BMI, kg/m2 | |
| Median (Q1, Q3) | 19.6 (17.4, 22.2) |
| Minimum, maximum | 12.4, 38.7 |
| Chest radiography results | |
| Normal | 198 (88%) |
| Abnormal, consistent with TB | 15 (6.7%) |
| Abnormal, not consistent with TB | 12 (5.3%) |
| Respiratory symptoms present | |
| None | 129 (57%) |
| Any | 96 (43%) |
| Respiratory symptoms | |
| Cough | 80 (83%) |
| Breathlessness | 7 (7.3%) |
| Hemoptysis | 3 (3.1%) |
| Chest pain | 4 (4.2%) |
| Other respiratory symptoms | 28 (29%) |
| Nonrespiratory symptoms | |
| None | 197 (88%) |
| Any | 28 (12%) |
Data are presented as No. (%) unless otherwise indicated.
Abbreviations: BMI, body mass index; Q, quartile; TB, tuberculosis.
Tongue swabs were collected from all participants. At least 1 mucopurulent sputum was collected from 116 participants (51.6%), while 109 could only produce saliva. Younger adolescents aged 10–14 years (54/93 [58.1%]) were more likely than adolescents aged 15–19 years (55/132 [30.3%]) to only produce salivary samples (P = .0221).
The CRS classified 12 (5.3%) adolescents as TB positive, including a trace-positive 13-year-old with CXR abnormalities consistent with TB. TS Xpert produced 1 error (0.4%); repeat testing was not possible. Sputum Xpert also produced 1 error; repeat testing using a second sputum sample yielded a negative result.
Following the intention-to-diagnose principle, TS Xpert sensitivity was 58.3% (90% CI, 35.6%–78.0%) while specificity was 99.5% (90% CI, 97.9%–99.9%) (Table 2). Complete case analysis estimated TS Xpert sensitivity of 58.3% (90% CI, 35.6%–78.0%) and specificity of 100.0% (90% CI, 98.7%–100.0%) (Table 2). Among adolescents who could produce a sputum sample, sensitivity was 60.0% (90% CI, 35.2%–80.6%) and specificity remained 100.0% (90% CI, 97.5%–100.0%) (Table 2), and for those only producing salivary samples, sensitivity was 50.0% (90% CI, 12.1%–87.9%) with specificity of 99.1% (90% CI, 96.0%–99.8%). One participant tested positive on sputum Xpert for rifampicin resistance; TS Xpert did not detect this case of TB. Supplementary Table 3 shows exploratory analyses of TS Xpert diagnostic accuracy stratified by age and by respiratory symptom status. Sensitivity was higher among older adolescents (15–19 years) than in their younger counterparts (10–14 years). Among participants not reporting respiratory symptoms, TS Xpert did not detect any cases of TB (Supplementary Table 3).
Table 2.
Diagnostic Accuracy of Tongue Swab Xpert Ultra Among All Participants in the Intention-to-Diagnose Population; Complete Case Analysis Population; Among Participants Producing Mucopurulent Sputum Only; and Among Participants Producing Salivary Sputum Samples Only
| Analysis | Swab Xpert Result | Composite Reference Standard Result | |
|---|---|---|---|
| TB Positive | TB Negative | ||
| Intention-to-diagnose analysisa (N = 225) | Positive | 7 | 0 |
| Negative | 5 | 213 | |
| Unsuccessfulb | 0 | 1 | |
| Total classified | 12 | 213 | |
| Complete case analysisc (n = 222) | Positive | 7 | 0 |
| Negative | 5 | 210 | |
| Unsuccessful | NA | NA | |
| Total classified | 12 | 210 | |
| Mucopurulent sputum (n = 116) | Positive | 6 | 0 |
| Negative | 4 | 106 | |
| Unsuccessfulb | 0 | 0 | |
| Total classified | 10 | 106 | |
| Salivary sputum (n = 109) | Positive | 1 | 0 |
| Negative | 1 | 106 | |
| Unsuccessfulb | 0 | 1 | |
| Total classified | 2 | 106 | |
Abbreviations: NA, not applicable; TB, tuberculosis.
aWhen estimating sensitivity, unsuccessful results among disease-positive are excluded from numerator and included in denominator. When estimating specificity, unsuccessful results among disease-negative are included in numerator and in denominator.
bFor participants requiring repeat testing due to a reference standard component test initially producing an unsuccessful result, the final classification based on at least 1 valid result was used.
cWhen estimating sensitivity and specificity, individuals missing a valid result on first run of each test are removed from the calculation.
TS Xpert diagnostic yield among all participants diagnosed with TB was 58.3% (7/12) (Table 3). Among those only producing salivary samples, the diagnostic yield among all diagnosed was 50.0% (1/2). The diagnostic yields of TS Xpert and first sputum Xpert among all tested for TB were 3.1% (7/225) and 4.5% (11/225), respectively, a difference that was not statistically significantly different (P = .449).
Table 3.
Diagnostic Yield of Tongue Swabs and Sputum Using Xpert Ultra Among Adolescents
| Diagnostic Yield | Value |
|---|---|
| Diagnostic yield of TS Xpert among all diagnosed (n = 12) | 58.3% (7/12) |
| Diagnostic yield of TS Xpert among all diagnosed who cannot produce sputum (n = 2) | 50.0% (1/2) |
| Diagnostic yield of TS Xpert among all tested (n = 225) | 3.1% (7/225) |
| Diagnostic yield of initial sputum sample Xpert among all tested (n = 225) | 4.5% (11/225) |
| Diagnostic yield of TS Xpert among all tested who cannot produce sputum (n = 109) | 0.9% (1/109) |
Abbreviations: TS, tongue swab; Xpert, Xpert MTB/RIF Ultra.
Examining the observed test result patterns (Table 4) shows that TS Xpert results were positive only among participants who had positive sputum Xpert, positive culture, CXR abnormality, and reported symptoms of TB. Notably, TS Xpert results for Mtb detection were negative among 2 adolescents who were positive on both sputum Xpert and culture. TS Xpert was more frequently positive when sputum Xpert semi-quantitative result was high (4/4) or medium (1/2) versus low, very low, or trace (1/4) (Supplementary Table 2).
Table 4.
Frequency of Observed Test Result and Symptom Patterns
| Tongue Swab Xpert | Sputum Xpert | Sputum Culture | Chest X-Ray | Respiratory Symptoms | Frequency |
|---|---|---|---|---|---|
| (−) | (−) | (−) | Normal | None | 118 |
| (−) | (−) | (−) | Normal | Any | 78 |
| (−) | (−) | (−) | Abnormal not c/w TB | None | 6 |
| (−) | (−) | (−) | Abnormal not c/w TB | Any | 6 |
| (−) | (−) | (−) | Abnormal, c/w TB | None | 4 |
| (−) | (−) | (−) | Abnormal, c/w TB | Any | 1 |
| (−) | (−) | (+) | Abnormal, c/w TB | Any | 1 |
| (−) | (+) | (−) | Normal | None | 1 |
| (−) | (+) | (−) | Normal | Any | 1 |
| (−) | (+) | (+) | Abnormal, c/w TB | Any | 2 |
| (+) | (+) | (+) | Abnormal, c/w TB | Any | 7 |
For participants requiring repeat testing due to a test initially producing an unsuccessful result, the final valid test result was included.
Abbreviations: (−), negative result; (+), positive result; c/w, consistent with; TB, tuberculosis; Xpert, Xpert MTB/RIF Ultra.
Regarding adolescents’ experiences of providing TS and sputum samples, the time spent to produce a sample, physical comfort level, and complexity of TS collection compared favorably to sputum collection (Table 5). As Xpert is not optimized to run on TSs, we also asked whether participants would find it annoying to provide a sample for repeat testing (ie, if the initial test failed); over 97% strongly disagreed or disagreed that they would find this annoying. TS sampling and sputum were found to be acceptable to most participants, although many more adolescents “strongly” agreed that TS collection was acceptable (P < .001).
Table 5.
Participant Experiences With Sampling and Sample Acceptability
| Feature | Tongue Swab (N = 225) |
Sputum (N = 225) |
P Valuea |
|---|---|---|---|
| Time spent collecting sample was far too long | |||
| Strongly disagree | 183 (81%) | 95 (42%) | <.001 |
| Disagree | 33 (15%) | 38 (17%) | |
| Neutral | 3 (1.3%) | 8 (3.6%) | |
| Agree | 6 (2.7%) | 69% (31%) | |
| Strongly agree | 0 (0%) | 15 (6.7%) | |
| Sample collection was very physically uncomfortable | |||
| Strongly disagree | 203 (90%) | 176 (78%) | <.001 |
| Disagree | 17 (7.6%) | 23 (10%) | |
| Neutral | 2 (0.9%) | 8 (3.6%) | |
| Agree | 1 (0.4%) | 15 (6.7%) | |
| Strongly agree | 2 (0.9%) | 3 (1.3%) | |
| Providing sample made me feel very awkward | |||
| Strongly disagree | 185 (82%) | 169 (75%) | <.130 |
| Disagree | 20 (8.9%) | 31 (14%) | |
| Neutral | 4 (1.8%) | 5 (2.2%) | |
| Agree | 13 (5.8%) | 15 (6.7%) | |
| Strongly agree | 3 (1.3%) | 5 (2.2%) | |
| Sample collection process was really complicated | |||
| Strongly disagree | 200 (89%) | 174 (77%) | <.001 |
| Disagree | 18 (8.0%) | 25 (11%) | |
| Neutral | 4 (1.8%) | 4 (1.8%) | |
| Agree | 2 (0.9%) | 19 (8.0%) | |
| Strongly agree | 1 (0.4%) | 4 (1.8%) | |
| Repeat sampling would be very annoying to me | |||
| Strongly disagree | 187 (83%) | 158 (70%) | <.001 |
| Disagree | 24 (11%) | 28 (12%) | |
| Neutral | 8 (3.6%) | 11 (4.9%) | |
| Agree | 4 (1.8%) | 21 (9.3%) | |
| Strongly agree | 2 (0.9%) | 7 (3.1%) | |
| Overall, providing this sample was acceptable to me | |||
| Strongly disagree | 6 (2.7%) | 6 (2.7%) | <.001 |
| Disagree | 4 (1.8%) | 11 (4.9%) | |
| Neutral | 1 (0.4%) | 10 (4.4%) | |
| Agree | 53 (24%) | 82 (36%) | |
| Strongly agree | 161 (72%) | 116 (52%) |
Data are presented as No. (%).
aWilcoxon rank-sum tests were used to calculate P values.
We completed semi-structured interviews with 3 laboratory technicians (see Supplementary Material 1). Overall, TS collection and testing on Xpert was highly acceptable to technicians. They also perceived TS collection as acceptable to sampled adolescents, who could readily understand the procedure and sit still for its duration. Some adolescents seemed “slightly shy” or perhaps “queasy,” but the process was perceived as being easier for participants than obtaining a sputum sample. As one technician noted: “after tongue swab, patients complain about difficulty expectorating sputum when doing [sic] sputum next, but no complaints about tongue swab.”
There were logistical challenges to untangle regarding transporting and testing samples within 24 hours, particularly when there were high volumes of TSs for testing from contact screening events. The technicians suggested that developing a method to preserve TSs for over 24 hours would be welcome. Some concern was expressed regarding infection risk to the swab collector, and technicians felt that the risk to them of being infected by Mtb during TS collection was higher than when collecting sputum. Using a droplet barrier, standing to the side of the participant while swabbing, wearing personal protective equipment (gown, face mask, gloves), and working in a well-ventilated environment were felt to mitigate, if not obviate, risks.
Preparing the TS sample for Xpert testing was found to be slightly more complex than sputum preparation, and the risk of contamination during TS manipulation was seen as lower than with sputum. One technician suggested that a premade buffer at the correct dilution would be welcome and quicker, and suggested setting up clear processes for managing Xpert cartridges of different samples (eg, using separate trays, batching).
DISCUSSION
In our consecutively recruited population of adolescents recommended to undergo TB investigation, TS Xpert had low sensitivity, with excellent specificity. Additionally, TS sampling was found to be highly acceptable to participants and laboratory staff.
Molecular testing for TB using TSs is a major advance in the fight to end TB and find the “missing millions,” as TSs could be collected from, essentially, all individuals, even if other respiratory samples are unavailable. Although we did not observe any participants with positive TS Xpert results who could not produce sputum, larger or higher TB prevalence studies may provide insight in the rate at which TS molecular testing would be positive in the absence of sputum. We observed lower sensitivity with TS Xpert than has been reported previously [19, 20], which may be partially attributable to the sample processing methods. As Xpert was not designed to run with TSs, research is ongoing to determine the optimal sample preparation protocol with the lowest limit of detection, and it is possible that a different dilution of reagent-buffer solution may have improved sensitivity [21]. It also may reflect a possible spectrum effect in our population, as less than half of participants were reportedly symptomatic. Additionally, our study population's median age was notably lower than that of most other published studies [8, 19, 20], and participants may have had correspondingly lower Mtb bacillary loads.
The low sensitivity of TS Xpert we observed demonstrates the importance of careful evaluation among subpopulations who need better-performing TB tests. New samples and assays must be rigorously assessed in young people [9] as well as other key groups (eg, people living with human immunodeficiency virus) [22], to ensure they will work as hoped. This is because the actual load of Mtb impacts test positivity [23], so an “accessible” sample alone may be insufficient to improve diagnosis in groups with smear-negative or paucibacillary disease [24]. The understandable tendency to chase new technological “silver bullets” [25] once available is probably not the ultimate cure for the persistent TB case detection gap. This trend was previously seen during the coronavirus disease 2019 (COVID-19) pandemic when major stakeholders recommended bidirectional testing for TB and COVID-19 [26, 27] without evidence; subsequently, prospective studies [28, 29] showed this to be an inefficient approach. Similarly, broadening the array of testable samples is an important step, but further evidence is needed to determine how to best incorporate novel samples, including TSs, into routine care pathways for adolescents [30].
Our findings on patient acceptability are broadly aligned with results of another multicountry survey, primarily among adults [31]. There, a majority (61%) of participants indicated a preference for TSs over sputum. Although we did not query head-to-head whether our participants preferred one sample over another, a larger share of adolescents “strongly agreed” that TSs were acceptable to them than sputum. In a qualitative study interviewing caregivers, healthcare workers, and NTP stakeholder regarding oral swab testing among young children (<5 years), swabs were considered highly acceptable. Swabs were viewed favorably as they were not invasive, painful, or time-consuming to collect [32]. Our participants also expressed an appreciation for the simplicity and short time required for TS collection, which, coupled with their high accessibility, may bode well for their deployment in screening. Future focused work is needed for this test use-case.
Our study had some notable strengths. To our knowledge, this is the first study describing performance of TS TB testing on any molecular platform specifically in adolescents. Designing our study such that only a single participant visit was required permitted excellent completion of the patient experience and acceptability survey. By utilizing a CRS comprised of both molecular and bacteriological tests, we can be reasonably confident in participants’ disease classification; however, residual misclassification, particularly false negatives, due to the imperfect nature of TB reference standards is possible. Our findings are likely generalizable to other high-TB-incidence settings, as Vietnam is classified as a country with a high burden of TB [33] and the population is relevant to those in whom TB testing is typically performed in countries with high TB burdens.
There were also limitations. We observed a relatively low event rate, resulting in low precision for sensitivity estimates; we acknowledge that TB prevalence was low, yielding wide CIs. This study is just beginning to fill a knowledge gap, and diagnostic accuracy estimates should be interpreted as preliminary. We have reported other salient outcomes, but more diagnostic evaluation in this group is necessary. Additionally, the clinical presentation of our study population was heterogenous, with approximately 50% presenting with symptoms. Among inpatients or a study population where a larger proportion of adolescents had presumptive TB, TS Xpert sensitivity may be higher, so our diagnostic accuracy findings may not be completely generalizable to all settings. However, our population does represent adolescents who would be recommended for TB investigation by most NTPs in countries with high TB burdens.
In a population of adolescents recommended for TB investigation, participant experiences were positive and sampling acceptability was high. TS Xpert sensitivity was relatively low and specificity was excellent, with TS Xpert mainly detecting cases of TB with relatively high bacillary load. Among those who could not produce mucopurulent sputum, sensitivity was poor. Further work should be undertaken to improve TS molecular testing in adolescents, including potentially as part of diagnostic algorithms.
Supplementary Material
Notes
Author contributions. Conceptualization: E. L. M. Data curation: L. H. C., K. H. M., E. L. M. Data collection: L. H. C., K. H. M., T. N. N. Formal analysis: E. L. M. Funding: E. L. M., G. J. F. Methodology: E. L. M., T. T. M., G. H., T. N. N. Project management: T. T. M., Y. N. P. Supervision and oversight: Y. N. P., T.-A. N., G. J. F., T. T. H., T. N. N. Writing—original draft: E. L. M. Writing—editing and review: All authors. E. L. M., L. H. C., and K. H. M. directly accessed and verified the underlying data reported in this manuscript.
Acknowledgments. The study team is grateful to Claudia M. Denkinger for sharing standard operating procedures for tongue swab processing and testing.
Data availability. De-identified participant data that underlie the results reported in this article, with an accompanying data dictionary, can be made available to investigators whose proposed use of the data has been approved by an independent review committee.
Disclaimer. The funders had no role in study design, data collection, data analysis, data interpretation, writing of the report, of in the decision to submit the paper for publication.
Financial support. This study was funded by a Research Support Grant from the Australian Respiratory Council. E. L. M. was supported by a Canadian Institutes of Health Research Fellowship (472823). G. J. F. was supported by a National Health and Medical Research Council Investigator Grant Leadership Level 1 (2007920). G. H. received financial assistance from the European Union (grant number DCI-PANAF/2020/420-028), through the African Research Initiative for Scientific Excellence (ARISE), pilot program. ARISE is implemented by the African Academy of Sciences with support from the European Commission and the African Union Commission.
Contributor Information
Emily Lai-Ho MacLean, National Health and Medical Research Council Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Sydney Infectious Diseases Institute, The University of Sydney, Sydney, New South Wales, Australia.
Thuy Thu Ma, The University of Sydney Vietnam Institute, The University of Sydney, Ho Chi Minh City, Vietnam.
Long Huynh Chuong, The University of Sydney Vietnam Institute, The University of Sydney, Ho Chi Minh City, Vietnam.
Khanh Huynh Minh, The University of Sydney Vietnam Institute, The University of Sydney, Ho Chi Minh City, Vietnam.
Graeme Hoddinott, Sydney Infectious Diseases Institute, The University of Sydney, Sydney, New South Wales, Australia; School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Department of Human, Biological and Translational Medical Science, School of Medicine, University of Namibia, Windhoek, Namibia.
Yen Ngoc Pham, The University of Sydney Vietnam Institute, The University of Sydney, Ho Chi Minh City, Vietnam.
Tiep Trung Hua, Can Tho Lung Hospital, Can Tho, Vietnam.
Thu-Anh Nguyen, The University of Sydney Vietnam Institute, The University of Sydney, Ho Chi Minh City, Vietnam; School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Greg J Fox, National Health and Medical Research Council Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Sydney Infectious Diseases Institute, The University of Sydney, Sydney, New South Wales, Australia; The University of Sydney Vietnam Institute, The University of Sydney, Ho Chi Minh City, Vietnam.
Thuy Ngoc Nguyen, Can Tho Lung Hospital, Can Tho, Vietnam.
Supplementary Data
Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
References
- 1. World Health Organization (WHO) . Global tuberculosis report 2025. Geneva, Switzerland: WHO, 2025. [Google Scholar]
- 2. World Health Organization . Adolescent data [database]. Available at: https://platform.who.int/data/maternal-newborn-child-adolescent-ageing/adolescent-data. Accessed 1 April 2026.
- 3. Snow KJ, Sismanidis C, Denholm J, Sawyer SM, Graham SM. The incidence of tuberculosis among adolescents and young adults: a global estimate. Eur Respir J 2018; 51:1702352. [DOI] [PubMed] [Google Scholar]
- 4. World Health Organization (WHO) . Roadmap towards ending TB in children and adolescents. 3rd edition. Geneva, Switzerland: WHO, 2023. [Google Scholar]
- 5. Bijker EM, Horn L, LaCourse S, et al. The inclusion of children and adolescents in tuberculosis diagnostic development and evaluation—a consensus statement. Lancet Infect Dis 2024; 24:e688–95. [DOI] [PubMed] [Google Scholar]
- 6. World Health Organization (WHO) . WHO consolidated guidelines on tuberculosis. Module 3: diagnosis—rapid diagnostics for tuberculosis detection. 3rd ed. Geneva, Switzerland: WHO, 2024. [PubMed] [Google Scholar]
- 7. World Health Organization (WHO), Department for HIV, Tuberculosis, Hepatitis and STIs . Low-complexity automated nucleic acid amplification tests (LC-aNAATs) on tongue swabs. Geneva, Switzerland: WHO, 2026. [Google Scholar]
- 8. Church EC, Steingart KR, Cangelosi GA, Ruhwald M, Kohli M, Shapiro AE. Oral swabs with a rapid molecular diagnostic test for pulmonary tuberculosis in adults and children: a systematic review. Lancet Glob Health 2024; 12:e45–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Chiang SS, Waterous PM, Atieno VF, et al. Caring for adolescents and young adults with tuberculosis or at risk of tuberculosis: consensus statement from an international expert panel. J Adolesc Health 2023; 72:323–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Vietnam National Tuberculosis Programme . Report on activities: tuberculosis control program 2025; plan of activities for 2026. Hanoi: Vietnam Ministry of Health, 2026. [Google Scholar]
- 11. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research Electronic Data Capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42:377–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med 1996; 3:895–900. [DOI] [PubMed] [Google Scholar]
- 13. Bland JM. The tyranny of power: is there a better way to calculate sample size? BMJ 2009; 339:b3985. [DOI] [PubMed] [Google Scholar]
- 14. Evans SR, Pennello G, Zhang S, et al. Intention-to-diagnose and distinct research foci in diagnostic accuracy studies. Lancet Infect Dis 2025;25:e472–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Schuetz GM, Schlattmann P, Dewey M. Use of 3×2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies. BMJ 2012; 345:e6717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Broger T, Marx FM, Theron G, et al. Diagnostic yield as an important metric for the evaluation of novel tuberculosis tests: rationale and guidance for future research. Lancet Glob Health 2024; 12:e1184–91. [DOI] [PubMed] [Google Scholar]
- 17. Stevenson M, Sergeant E. Epir: tools for the analysis of epidemiological data. Version 2.0.91. Melbourne, Australia: The University of Melbourne, 2026. [Google Scholar]
- 18. R Core Team . R: a language and environment for statistical computing. Version 4.5.1. Vienna, Austria: R Foundation for Statistical Computing, 2026. [Google Scholar]
- 19. Wood RC, Luabeya AK, Dragovich RB, et al. Diagnostic accuracy of tongue swab testing on two automated tuberculosis diagnostic platforms, Cepheid Xpert MTB/RIF Ultra and Molbio Truenat MTB Ultima. J Clin Microbiol 2024; 62:e0001924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Ajide B, Moe CA, Barrameda J, et al. Tongue swab Xpert MTB/RIF Ultra testing for tuberculosis using a revised consensus protocol: a multi-country diagnostic accuracy study. medRxiv [preprint, not peer reviewed]. Posted online 10 July 2025. doi: 10.1101/2025.07.08.25330424 [DOI]
- 21. Chilambi GS, Reiss R, Daivaa N, et al. Optimal processing of tongue swab samples for Mycobacterium tuberculosis detection by the Xpert MTB/RIF Ultra assay. Microbiol Spectr 2025; 13:e0240324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Gupta RK, Lucas SB, Fielding KL, Lawn SD. Prevalence of tuberculosis in post-mortem studies of HIV-infected adults and children in resource-limited settings: a systematic review and meta-analysis. AIDS 2015; 29:1987–2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Kendall EA, Denkinger CM, Cattamanchi A, Dowdy DW, Andrews JR. Whom tuberculosis tests detect and why it matters: implications for diagnostic algorithms. Lancet Microbe 2025;6:101237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Khambati N, Moureen KA, Basile FW, et al. Oral swab testing with Xpert MTB/RIF Ultra for the diagnosis of tuberculosis in children aged <5 years in Uganda: an exploratory interim analysis of diagnostic accuracy in the NOD-pedFEND cohort. Open Forum Infect Dis 2025; 12:ofaf206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Pai M, Schumacher SG, Abimbola S. Surrogate endpoints in global health research: still searching for killer apps and silver bullets? BMJ Glob Health 2018; 3:e000755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. The Global Fund . Briefing note: testing for both tuberculosis and SARS-CoV-2. Geneva, Switzerland: The Global Fund, 2021. [Google Scholar]
- 27. US Agency for International Development, Stop TB Partnership . Simultaneous, integrated diagnostic testing approach to detect COVID-19 and TB in high TB burden countries. Geneva, Switzerland: Stop TB Partnership, 2021. [Google Scholar]
- 28. MacLean EL, Villa-Castillo L, Espinoza-Lopez P, et al. Integrating tuberculosis and COVID-19 molecular testing in Lima, Peru: a cross-sectional, diagnostic accuracy study. Lancet Microbe 2023; 4:e452–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. David A, Genade L, Scott LE, et al. Concurrent tuberculosis and COVID-19 testing from a single sputum specimen for enhanced disease detection. Diagnostics (Basel) 2025; 15:720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Sekadde MP, Chiang SS, Brands A, et al. Tuberculosis research principles and priorities in children and adolescents: an international consensus statement. Lancet Child Adolesc Health 2026; 10:597–606. [DOI] [PubMed] [Google Scholar]
- 31. Kumar KM, Borkman A, Kim A, et al. Preferences for tongue swab versus sputum collection for TB testing: a multi-country survey. Int J Tuberc Lung Dis 2026; 30:134–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Basile FW, Calderón-Flores R, Held F, et al. Acceptability and feasibility of oral swabs for tuberculosis diagnosis in young children: a qualitative study from Uganda and Peru. Front Tuberc 2026; 4:1726647. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. World Health Organization (WHO) . WHO global lists of high burden countries for tuberculosis (TB). TB/HIV and multidrug/rifampicin-resistant TB (MDR/RR-TB), 2021–2025. Geneva, Switzerland: WHO, 2021. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
