Paucibacillary Tuberculosis drives the low positive predictive value of Xpert MTB/RIF Ultra for Rifampicin resistance detection in low-prevalence settings

I Cuella-Martin, F Hakizayezu, A Ahmed, D Runyambo, H Niyompano, J Keysers, WB De Rijk, W Mulders, EMH Mitchell, T Decroo, YM Habimana, P Migambi, CM Muvunyi, BC de Jong, L Rigouts, JCS Ngabonziza

Research output: Contribution to journalA1: Web of Science-articlepeer-review

Abstract

Background
Xpert MTB/RIF Ultra (Ultra) aimed to improve the specificity in identifying rifampicin-resistant tuberculosis (RR-TB), compared to Xpert MTB/RIF.

Methods
In a nationwide study in Rwanda, patients diagnosed with RR-TB by Ultra between December 2021 and January 2024 underwent repeat Ultra testing, complemented by rpoB gene sequencing and phenotypic drug-susceptibility testing (pDST), serving as reference tests.

Results
Of 129 patients initially diagnosed with RR-TB by Ultra, only 41 (32%) had concordant rifampicin results upon repeat Ultra testing. The remaining 88 patients (68%) had unconfirmed resistance on repeat Ultra. Reference testing was available for 40 (98%) of 41 confirmed cases, all verified as true RR-TB. Among 88 unconfirmed cases, reference testing was available for 61 (69%), with 7 (11%) confirmed as true RR-TB, whereas 54 (89%) were found to have rifampicin-susceptible TB. Notably, 89% of 55 patients with very low bacillary loads on their initial Ultra had false RR-TB results, a significantly higher risk of false resistance compared to other bacillary load categories combined (risk ratio: 8.20; 95% confidence interval [CI]: 3.56–18.85; P < .001). Consequently, 53% (54/101) of initial RR patients with available reference testing received unnecessary RR-TB treatment.

Conclusions
Ultra represents a valuable tool for rapid RR-TB detection; however, in low prevalence settings its low positive predictive value for RR detection is largely driven by samples with very low bacillary loads. As programs expand active case-finding and early detection of asymptomatic disease, the proportion of TB detected with very low bacillary load will increase. Diagnostic algorithms require adjustments to prevent unnecessary RR-TB treatment.
Original languageEnglish
JournalClinical Infectious Diseases
Number of pages7
ISSN1058-4838
DOIs
Publication statusE-pub ahead of print - 2025

Keywords

  • TB case management
  • Xpert MTB/RIF ultra
  • False-positive
  • Paucibacillary TB
  • Positive predictive value (PPV)

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