Diagnostic accuracy of the BD MAXTM MDR-TB assay on sputum and tongue swabs for Mycobacterium tuberculosis complex detection in adults under investigation for TB in South Africa
David, A.; Singh, L.; da Silva, M. P.; Peloakgosi-Shikwambani, K.; Nsingwane, Z.; Molepo, V.; Stevens, W.; Scott, L. E.
Show abstract
BackgroundDespite advances in molecular diagnostics, only 48% of newly diagnosed tuberculosis (TB) cases were confirmed using nucleic acid amplification tests (NAATs) in 2023. The BD MAXTM MDR-TB (MAX MDR-TB) assay, a moderate complexity NAAT, detects Mycobacterium tuberculosis complex (MTBC) and resistance to rifampicin (RIF) and isoniazid (INH), but data on clinical performance is limited. This study assessed assay performance on raw sputum, NALC/NaOH decontaminated sputum, and tongue swab (TS) specimens. MethodsThis evaluation assessed the MAX MDR-TB assay for MTBC detection and RIF and INH resistance profiling on sputum, using liquid culture as the reference standard. Additionally, diagnostic accuracy for MTBC detection in TS specimens was evaluated under different transport and processing conditions. ResultsAssay sensitivity was similar for sputum pellet (87%) and raw sputum (89%), with one additional case detected using raw sputum. Two false RIF-resistant results were observed. INH resistance was missed in two cases. Although specimen numbers were small, TS demonstrated better diagnostic accuracy when using a diluted (66%) STR buffer. A total of 15/55 (27%) were classified as "MTB Low POS." ConclusionThese findings suggest that MAX MDR-TB assay performance is comparable between sputum pellet and raw sputum. While TS showed promise, further validation in larger studies is warranted. The high rate of "MTB Low POS" results across specimen types underscores the importance of assay optimisation to reduce the burden of repeat testing and improve diagnostic reliability. Future research should enhance sensitivity and integration into diagnostic algorithms to improve patient outcomes.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Acceptable Performance of the Abbott ID NOW Among Symptomatic Individuals with Confirmed COVID-19 92%
- Rapid fluoroquinolone resistance detection in Pseudomonas aeruginosa using mismatch amplification mutation assay-based real-time PCR 92%
- Evaluation of the ID NOW Among Symptomatic Individuals During the Omicron Wave 91%
Similar papers in this journal
- Prevalence and predictors of latent tuberculosis infection among people living with HIV in a high tuberculosis burden context 94%
- Contact investigation of tuberculosis in Brunei Darussalam: Evaluation and risk factor analysis 94%
- Head-to head comparison of anterior nares and nasopharyngeal swabs for SARS-CoV-2 antigen detection in a community drive-through test centre in the UK 93%
Similar papers in this journal
- Feasibility and Sensitivity of Saliva GeneXpert MTB/RIF Ultra for Tuberculosis Diagnosis in Adults in Uganda 97%
- Testing tongue swab samples by Cepheid Xpert MTB/RIF Ultra: Comparison of two protocols applied to samples from persons with low-bacillary load TB 96%
- Optimal processing of tongue swab samples for Mycobacterium tuberculosis detection by the Xpert MTB/RIF Ultra assay 95%
Similar papers in this journal
- Direct thin-layer agar for bedaquiline-susceptibility testing of Mycobacterium tuberculosis at BSL2 level yields high accuracy in 15 days from sputum processing. 98%
- Complementary non-sputum diagnostic testing using oral swabs and urine LAM testing for TB in people with HIV 98%
- Accuracy of tongue swab testing using Xpert MTB-RIF Ultra for tuberculosis diagnosis 97%
Similar papers in this journal
- Comparison of tests done, and Tuberculosis cases detected by Xpert® MTB/RIF and Xpert® MTB/RIF-Ultra in Uganda 95%
- High Proportion of RR-TB and mutations conferring RR outside of the RRDR of the rpoB gene detected in GeneXpert MTB/RIF assay positive pulmonary tuberculosis cases, in Addis Ababa, Ethiopia 95%
- The monocyte-to-lymphocyte ratio: defining a normal range, sex-specific differences in the tuberculosis disease spectrum and diagnostic indices 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.