Thank you for submitting your Hugo David Award application. Your submission is summarised below.
Semester
S1, 2025
Applicant
Isabel Cuella Martin
Paper Title
Paucibacillary Tuberculosis Drives the Low Positive Predictive Value of Xpert MTB/RIF Ultra for Rifampicin Resistance Detection in Low-Prevalence Settings
The name(s) of the first, last or corresponding authors who are ESM members
Isabel Cuella Martin, Leen Rigouts
Paper Link / Upload
Date of the online publication
22 March 2025
Summary
This study addresses a critical gap in the diagnosis of rifampicin resistant tuberculosis by revealing that Xpert MTB/RIF Ultra's low positive predicted value for rifampicin resistance in low-prevalence settings is primarly driven by paucibacillary samples. In our nationwide study in Rwanda, 89% of patients with very low bacillary loads had a false rifampicin-resistant results. This lead to unnecessary MDR-TB treatment for 53% of patients in our study.
These findings have immediate global implications as WHO guidelines now recommend community screening at 0.5% prevalence thresholds, expanding Ultra's use in low prevalence populations where paucibacillary samples are increasingly common.
The research directly impacts patient care by preventing unnecessary MDR-TB treatment, that in Rwanda mandates clinic isolation until culture conversion, and reducing healthcare costs for the TB national program. The proposed diagnostic algorithm incorporating bacillary load thresholds offers a practical solution for tuberculosis programs in a similar low prevalence situation, potentially transforming how rifampicin resistance is interpreted in molecular diagnostics.
I am a member of ESM
true
I am under 40 (or less than 7 years after PHD)
true
