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. 2022 Mar 21;12(1):28–33. doi: 10.5588/pha.21.0066

Prevalence and interpretation of Xpert® Ultra trace results among presumptive TB patients

L Chilukutu 1, W Mwanza 1, A D Kerkhoff 2, P Somwe 1, M Kagujje 1, M Muyoyeta 1,
PMCID: PMC8908867  PMID: 35317531

Abstract

BACKGROUND:

The “trace call” results on Xpert® Ultra indicates extremely low TB levels and may be difficult to interpret. The prevalence of trace results among presumptive TB patients in high TB-HIV infection settings is unknown, as is the significance of divergent “trace call” result interpretations.

METHODS:

Presumptive TB patients attending a public health facility in Lusaka, Zambia, were prospectively enrolled. Participants underwent several TB investigations, including sputum smear microscopy, Ultra testing, and culture. The diagnostic accuracy of Ultra (culture-based reference) and the number of patients recommended for TB treatment was assessed according to several different interpretation criteria for “trace call” results.

RESULTS:

Among the 740 participants, 78 (10.5%) were Ultra-positive and an additional 37 (5.0%) had a “trace call” result. The prevalence of trace results did not differ according to HIV status (5.3% vs. 4.8%) or prior TB status (5.6% vs. 4.9%). Differing interpretations of trace results had modest effects on Ultra’s sensitivity (range 79.3–82.6%) and specificity (range 94.3–99.2%), but increased the number of patients recommended for treatment by up to 44.9%.

CONCLUSIONS:

Ultra trace results were common in this setting. The interpretation of trace results may substantially impact TB case yield.

Keywords: tuberculosis, diagnosis, HIV, CAD


The Xpert® MTB/Rif Ultra (henceforth “Ultra”; Cepheid, Sunnyvale, CA, USA) assay was developed to address the challenges of diagnosing paucibacillary TB disease.1,2 A recent meta-analysis demonstrated an approximate 6% overall increase in sensitivity and 17% increase among culture-positive, smear-negative persons compared to Xpert® MTB/RIF (Cepheid) in general populations.3 This increase in sensitivity is at the expense of a small decrease in specificity (overall about 3%), which is largely among patients with a recent history of previous TB (e.g., treated in the last 5 years).2,4

Ultra’s increased sensitivity is largely due to the “trace call” result, a new result sub-category in addition to the previous “high, medium, low and very low” categories. It indicates the detection of minimal bacilli and presents a challenge for the clinical management of presumptive TB patients. Initial WHO guidance recommended that a “trace call” should be interpreted as a true-positive TB result (and treatment initiated) for persons living with HIV (PLHIV), children, and for extrapulmonary specimens.5 For HIV-negative presumptive TB patients with trace results, especially those previously treated for TB, caution was advised a because of Ultra’s ability to detect very low-level, non-viable and non-replicating bacilli.5 A second ‘tie-breaker’ sputum Ultra test was recommended in such circumstances but was rarely logistically feasible to perform in most high-burden settings, presenting clinicians with a dilemma as to whether anti-TB therapy should be initiated.

In 2020, the WHO updated its guidance on the interpretation of a ‘trace call’ in the case of HIV-negative persons, recommending that it be considered a true-positive result in those without a prior TB episode or a recent history of TB treatment.6 However, the potential impact of this guidance change on the diagnosis and treatment of pulmonary TB has not been well-described. Furthermore, data on the overall prevalence of trace results in high TB and HIV burden settings are limited. Therefore, this study sought:1) to evaluate the prevalence of overall “trace call” results by HIV and previous TB status, 2) to characterize trace call-positive presumptive TB patients in detail, and 3) to determine how changes in interpreting trace results affect Ultra’s diagnostic accuracy and treatment recommendations for pulmonary TB.

STUDY DESIGN AND PROCEDURES

This was a prospective, cross-sectional study nested within a large implementation research project. It was conducted between July and December 2018 at a primary healthcare TB diagnostic center that serves an informal peri-urban settlement in Lusaka, Zambia.7 Consecutive adults aged 18 years who attended the health facility for TB screening were invited to participate in the study. Each consenting participant underwent a full clinical evaluation by a qualified medical practitioner, including TB symptom screening, HIV testing, point-of-care C-reactive protein (CRP), and digital chest X-ray (CXR) with computer-aided diagnosis (CAD4TB v1.5; Delft Imaging, Hertogenbosch, The Netherlands). CAD4TB is an artificial intelligence system that provides a score between 0 and 100, with higher scores indicating a greater likelihood that an individual has TB;8 the abnormality threshold was selected using a cut-off that achieved a minimum sensitivity of 90%, as is recommended for TB triage tests, while optimizing the area under the curve against a sputum-based culture reference standard. Two spot sputum samples were collected for microbiological TB testing, venous blood was collected for the determination of CD4 count from PLHIV and fingerstick blood was used to determine CRP levels.

Ethical approvals

The study was approved by the University of Zambia Biomedical Research Ethics Committee, Lusaka, Zambia (UNZABREC Ref:012-05-17). All participants provided written informed consent in their preferred language.

Laboratory testing

All samples, including sputum and blood samples, were transported to the Centre for Infectious Disease Research in Zambia (CIDRZ) Central Laboratory, Lusaka, Zambia, within 4–5 hours of collection. Each sputum sample was decontaminated using the N-acetyl-L-cysteine/sodium hydroxide method and each decontaminated sample was then split four-way to set up 1 MGIT culture (BACTEC™ MGIT™ 960 System; BD, Franklin Lakes, NJ, USA), 1 Löwenstein-Jensen solid culture, 1 concentrated Ziehl-Neelsen (ZN) smear and an Ultra assay. Mycobacterium tuberculosis in positive cultures was identified and confirmed using the MGIT™ TBc IDtest (BD). CRP levels were determined from fingerstick blood samples using the Actim CRP Rapid Test (Medix Biochemica, Espoo, Finland); CRP testing was done at the point-of-care by a study team member according to the manufacturer’s recommendations.

Data collection procedures

Demographic and clinical characteristics were collected on paper-based case record forms and later captured electronically using customized District Health Information Software 2 (DHIS2) forms. The data were stored in a PostgreSQL server database. Specified quality level (SQL) queries were written to evaluate for data inconsistencies and or discrepancies.

Data analysis

The analysis was restricted to patients with valid culture, Ultra and smear microscopy results. CXRs were considered abnormal (and suggestive of active TB) if the CAD score was ⩾29; using our pre-defined criteria for selecting a threshold, this cut-off achieved a sensitivity and specificity of respectively 90% and 58%. Ultra was considered definitively positive for any “high”, “medium”, “low”, or “very low” M. tuberculosis detected result. Descriptive analyses were undertaken to provide an overview of participant characteristics. Patients with Ultra trace results were then stratified by HIV status and prior TB status. The diagnostic sensitivity, specificity of Ultra for TB and number of patients recommended for TB treatment were determined according to one of four Ultra “trace call” result interpretations: 1) all considered negative, 2) considered positive only among HIV-positive persons (original WHO guidance5), 3) considered positive among all HIV-positive persons and HIV-negative persons without prior TB or TB treatment in the last 5 years (updated WHO guidance6), 4) all considered positive. Data were analyzed using Stata Statistical Software v14 (Stata Corporation, College Station, TX, USA).

RESULTS

Of the 771 participants who consented to be part of the study, 763 submitted a sputum sample and 740 of these had valid results for culture, Ultra and smear microscopy and were included in the analysis (Figure). Participants had a median age of 38 years (inter-quartile range [IQR] 29.5–47.0), 58.2% were male, 43.1% were HIV-positive (median CD4 count: 285 cells/μL, IQR 165–490) and 19.3% reported having been previously treated for TB (Table 1). There were 73.4% who had a positive WHO symptom screen and 36.6% had an abnormal chest-X ray. The prevalence of TB isolated from sputum using mycobacterial culture was 12.4% (n = 92; 95%CI 10.1–15.0); 6.5% (n = 48; 95%CI 4.8–8.5) of participants had sputum smear-positive TB.

FIGURE.

FIGURE

Flow diagram of participants recruited into the study.

TABLE 1.

Participant characteristics and TB diagnostic categories (n = 740)

n (%)
Age, years, median [IQR] 38 [30–47]
Male sex 431 (58.2)
HIV-positive 319 (43.1)
CD4 count, cells/mm3, median [IQR]* 285 [165–490]
Previous history of TB 143 (19.3)
WHO Symptom screen-positive 536 (73.4)
Chest X-ray abnormality 271 (36.6)
Sputum TB investigations
Smear-positive 48 (6.5)
Culture-positive 92 (12.4)
Xpert Ultra result
 Positive 78 (10.5)
 Trace positive 37 (5.0)
 Negative 625 (84.5)

*CD4 counts among HIV-positive participants.

IQR = interquartile range.

Prevalence of Ultra trace results

The prevalence of Ultra trace results was 5.0% (95%CI 3.5–6.8; n = 37); an additional 10.4% (n = 77; 95%CI 8.4–13.0) of participants had an Xpert (non-trace) positive result; therefore, trace results accounted for 32.2% (95%CI 23.8–41.5; n = 37/114) of all Ultra results in which TB was detected. There was no difference in the prevalence of Ultra trace results between HIV-positive (5.3%, 95% CI 3.1–8.4; n = 17/319) and HIV-negative (4.8%, 95%CI 2.9–7.3; n = 20/418) participants. The prevalence of Ultra trace results also did not differ between those with a history of previous TB (5.6%, 95%CI 2.4–10.7; n = 8/143) and those without previous TB (4.9%, 95%CI 3.3–6.9; n = 29/596).

Characteristics of Ultra trace call-positive participants

Detailed characteristics of the 37 participants with an Ultra trace results are shown in Table 2. The majority (75.7%) had at least one TB symptom, 56.8% had an abnormal digital CXR, 73.0% had an elevated CRP level (⩾10 mg/mL); only three participants with a trace-positive result were culture-positive (Table 2). More than half (54.0%, n = 20/37) of all Ultra trace results were among HIV-negative participants and the large majority (78.4%, n = 29/37) did not report a prior history of TB treatment. To note, 9 (24.3%) participants with an Ultra trace result did not report any symptoms of TB (2 HIV-positive and 7 HIV-negative), of which 55.6% had an abnormal CXR and 44.4% had an elevated CRP level (⩾10 mg/mL); none were culture-positive. While numbers were small, compared to HIV-negative participants, HIV-positive participants appeared to be more symptomatic and have more elevated CRP levels (Table 2). Of the 18 HIV-negative participants without previous TB and who had a trace result, 11 (61.1%) had a positive WHO symptom screen, 11 (61.1%) had an elevated CRP level (⩾10 mg/mL), 8 (44.4%) had an abnormal CXR, and 2 (11.1%) were culture-positive.

TABLE 2.

Clinical characteristics and TB investigations among participants with an Xpert Ultra “trace call” result

All trace read results (n = 37) HIV-positive HIV-negative

No prior TB (n = 11) Prior TB (n = 6) No prior TB (n = 18) Prior TB (n = 2)*
Age, years, median [IQR] 35 [26–46) 40 [32–47] 40.5 [31–47] 28.5 [24–42] 44.5 [40–49]
Male sex 24 (64.0) 7 (63.6) 5 (83.3) 11 (61.1) 1 (50.0)
CD4 count, cells/mm3, median [IQR] 325 [191–403] 325 [191–403] 287 [173–489]
TB symptoms
 Cough 25 (67.6) 9(81.0) 5 (83.3) 9 (50.0) 2 (100)
 Fever 6 (16.2) 3(27.3) 1 (16.7) 2 (11.1) 0
 Night sweats 10 (27.0) 2 (18.2) 3 (50.0) 5 (27.8) 0
 Weight loss 11 (29.7) 4 (36.4) 4 (66.7) 3 (16.7) 0
 Chest pain 24 (64.9) 7 (63.6) 4 (66.7) 11 (61.1) 2 (100)
 Shortness of breath 14 (37.8) 5 (45.5) 3 (50.0) 6 (33.3) 0
Number of WHO TB symptoms
 0 9 (24.3) 2 (18.2) 7 (38.9)
 1 12 (32.4) 9 (81.8) 6 (100) 6 (33.3) 2 (100)
 2 5 (13.5) 0 0 0 0
 3 9 (24.3) 0 0 4 (22.2) 0
 4 2 (5.4) 0 0 1 (5.6) 0
dCXR
 Abnormal 21 (56.8) 6 (54.6 5 (83.3 8 (44.4) 2 (100)
 Normal 13 (35.1)* 4 (36.6) 1 (16.8) 8 (44.4)
C-reactive protein, mg/mL
 <10 10 (27.0) 1 (9.1) 1 (16.7) 7 (38.9) 1 (50.0)
 10–40 7 (18.9) 2 (18.2) 1 (16.7) 4 (22.2) 0
 40–80 5 (13.5) 2 (18.2) 1 (16.7) 2 (11.1) 0
 >80 15 (40.5) 6 (54.5) 3 (50.0) 5 (27.8) 1 (50.0)
Smear results
 Positive 0 0 0 0 0
 Negative 37 (100) 11 (100) 6 (100) 18 (100) 2 (100)
Culture results
 Positive 3 (8.1) 1 (9.1) 0 2 (11.1) 0
 Negative 34 (91.9) 10 (90.9) 6 (100) 16 (88.9) 2 (100)

*Participants with prior TB treated in 2016 (2 years before study entry) and 2014 (4 years before study entry). Such patients would not be recommended under current WHO guidelines6 to receive anti-TB therapy as they had been treated for TB in the previous 5 years.

3 participants did not have a valid dCXR result available.

Of the 9 participants with a negative WHO symptom screen, 4 were presumptive TB patients on the basis of current chest pain and 5 were presumptive TB patients on the basis of an abnormal dCXR.

IQR = interquartile range; dCXR = digital chest X-ray.

The impact of Ultra trace call interpretation on diagnostic accuracy and treatment recommendations

Using current international guidance to interpret trace results, Ultra’s sensitivity and specificity were respectively 82.6% and 94.3%. This represented a small increase in sensitivity compared to all “trace call” results being considered negative (+3.3%) or being considered positive only for HIV-positive persons (+1.8%) (Table 3). Interpreting trace results according to current guidance would result in small decreases in specificity (range 2.5–4.9%) using a sputum culture-based reference standard (Table 3). Implementing current recommendations for interpreting Ultra trace results would have resulted in an additional 35 (+44.9%) and 18 (+18.9%) individuals being recommended for TB treatment, respectively, compared to if all trace results were considered negative or positive only for HIV-positive persons (Table 3).

TABLE 3.

The effect of Xpert Ultra trace call result interpretation on Xpert Ultra diagnostic accuracy for TB and TB treatment recommendations

Sensitivity Specificity Number recommended for TB therapy based on Ultra result (yield)


n/N % (95% CI) n/N % (95% CI)
Ultra Trace call result considered negative (all considered negative)
 All 73/92 79.3 (69.6–87.1) 643/648 99.2 (98.2–99.7) 78
 Smear-positive 45/46 97.8 (88.5–99.9) 1/2 50.0 (1.26–98.7) 46
 Smear-negative 28/46 60.9 (45.4–74.9) 641/645 99.4 (98.4–99.8) 32
Ultra Trace call result considered positive (according to original WHO guidance)*
 All 74/92 80.8 (70.9–88.0) 627/648 96.8 (95.1–98.0) 95
 Smear-positive 45/46 97.8 (86.0–99.5) 1/2 50.0 (1.3–98.7) 46
 Smear-negative 29/46 63.0 (47.5–76.8) 625/645 96.9 (95.3–98.1) 49
Ultra Trace call result considered positive (according to current WHO guidance)
 All 76/92 82.6 (73.3–89.7) 611/648 94.3 (92.2–95.9) 113
 Smear-positive 45/46 97.8 (88.5–99.9) 1/2 50.0 (1.3–98.7) 46
 Smear-negative 31/46 67.4 (52.0–80.5) 609/645 94.5 (92.4–96.1) 67
Ultra Trace call result considered positive (all considered positive)
 All 76/92 82.6 (73.3–89.7) 608/647 94.0 (91.9–95.7) 115
 Smear-positive 45/46 97.9 (88.5–99.9) 1/2 50.0 (1.3–98.7) 46
 Smear-negative 31/46 67.4 (52.0–80.5) 607/645 94.1 (92.0–95.8) 69

*Trace call result considered a true positive result for HIV-positive persons and a false-positive result for HIV-negative persons.

Trace call result considered a true-positive result for HIV-positive persons and HIV-negative persons not previously treated for TB and a false-positive result for HIV-negative persons with a prior history of TB.

CI = confidence interval.

DISCUSSION

In this study, we carefully evaluated the prevalence of Ultra trace results among presumptive TB patients in a high TB-HIV burden setting. We found that an important minority (5%) of all presumptive TB patients had an Ultra trace result and that notably, the prevalence of trace results did not differ according to HIV status or whether or not a patient had a previous TB history. Furthermore, we found that while differential interpretation of trace results had modest effects on Ultra’s overall diagnostic accuracy, there are potentially large impacts on the overall number and relative yield of TB diagnoses and the number of presumptive TB patients who are recommended for TB treatment. As Ultra trace results present a challenge for clinical management of presumptive TB patients in high-burden settings due to the risk of overdiagnosis – particularly in previous treated individuals – our results have important implications.

Ultra trace results were common, accounting for nearly one-third (32%) of all Ultra-positive results in our study. This finding is somewhat higher than previous studies, which have reported a range between 3% and 30%.1,2,914 It was notable that only about 22% (n = 8/37) of presumptive TB patients with a “trace call” result in our study did not report a prior history of TB treatment. While this measure may be subject to some reporting bias (e.g., due to TB stigma), this is a substantially lower proportion than most previous studies; however, data on this are limited. For example, two studies from South Africa and a multi-country study in the United States found that 46% (n = 6/13), 35% (n = 15/43), 100% (n = 21/21), 58% (n = 11/19) had a prior TB history;2,11 only another small study from South Africa found that 20% (n = 1/5) of patients with a “trace call” result had a previous TB history.

WHO guidance regarding Ultra “trace calls” now includes strong consideration for HIV-negative adults without a prior or recent TB history (last 5 years) to be considered true-positives.6 This builds upon original recommendations that suggested that trace call results be considered positive in HIV-positive persons, children and extrapulmonary specimens.5 We found that 49% of all trace results were among HIV-negative adults without a previous or recent TB history. Such patients tended to have at least one classic TB symptom (61%), abnormal chest radiography (44%), and elevated CRP levels (61%); two were culture-positive. While Ultra trace results may represent transient colonization among persons without prior TB, our results suggest that a majority of such patients likely had either early or paucibacillary disease. As symptoms-based screening failed to detect nearly 40% of presumptive TB patients with Ultra trace results, additional screening and triage tools such as digital CXRs with automated AI reading and/or point-of-care CRP assays may help detect more TB cases and identify them sooner. Implementation of the updated WHO guidance6 on interpretation of Ultra trace calls from prior guidance would have resulted in a nearly 20% increase (18 additional cases) in the number of patients with TB diagnosed and recommended for treatment, while not significantly reducing diagnostic specificity. Collectively our results provide support for updated WHO guidance that recommend Ultra trace results among HIV-negative persons be considered positive, as prior guidance may be associated with substantial underdiagnoses of TB.6 However, there remains an important need for further research to guide optimized management of presumptive TB patients with “trace call” Ultra results.

Study strengths were the inclusion of many well-characterized, presumptive TB patients enrolled from within routine programmatic settings. Despite a relatively high prevalence of Ultra trace results, and one of the largest reports of Ultra trace results to date,3 the absolute number was relatively small, which limited subgroup analyses by HIV and previous TB status. Repeat sputum culture testing was not available to further help differentiate true-from false-positive results among those with a Ultra trace result. Furthermore, systematic extrapulmonary sampling was not used, possibly resulting in diagnostic misclassification, including underestimation of Ultra specificity when incorporating “trace call” results. Finally, as these results are drawn from a single, busy ambulatory public health setting in Zambia, and the point estimates of the prevalence of “trace call” results may not be generalizable to other settings in the region.

CONCLUSION

Xpert Ultra trace call results, which indicate a minimal TB burden, are commonly encountered in high TB-HIV burden settings and present new clinical challenges in interpretation, especially among previously treated patients. The interpretation of Ultra trace results may have minimal effects on diagnostic accuracy, but a significant impact on the number of TB patients diagnosed and treated for TB. Where available, adjunct investigations such as CXRs and CRP levels may help to guide optimized management of presumptive TB patients with Ultra trace call results; however, further research is needed.

ACKNOWLEDGMENTS

The authors thank CIDRZ Staff (J Bwalya for his role in data entry, K Siame and P Chisenga for their role in participant enrollment and data collection); and Zambian Ministry of Health staff (B Banda, M Tembo, N Nkumbwizya, B Nchimunya, C Mumba, A Chinkondya, M Chansa, and W Njeleka for working closely with the project staff).

Support from the Stop TB Partnership’s TB REACH Initiative with funding from the Government of Canada made this work possible. The funders played no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflicts of interest: none declared.

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