Analytical and clinical validation of a novel MeltPlus TB-NTM/RIF platform for simultaneous detection of Mycobacterium tuberculosis complex, Non-Tuberculous Mycobacteria and rifampicin resistance

TL;DR

A new platform called MeltPlus TB-NTM/RIF can quickly and accurately detect tuberculosis, non-tuberculous mycobacteria, and rifampicin resistance, offering a promising tool for better patient care.

Contribution

The development and validation of a novel platform for simultaneous detection of TB, NTM, and RIF resistance with high diagnostic accuracy.

Findings

The platform detected MTBC, NTM, and RIF resistance with LODs of 10.31, 57.55, and 48.584 CFU/mL respectively.

The assay showed high sensitivity and specificity for MTBC (98.76% and 94.42%) and NTM (91.98% and 99.59%) detection.

RIF resistance detection had a sensitivity of 90.24% and specificity of 95.98%, with strong agreement compared to GeneXpert.

Abstract

Rapid and accurate diagnosis of tuberculosis, particularly rifampin (RIF)-resistant tuberculosis (RR-TB) and Non-Tuberculous Mycobacteria (NTM), is essential for implementing appropriate proper therapy to benefit patients and improve TB/NTM patient management.

In this study, we developed a novel MeltPlus MTB-NTM/RIF platform, designed to simultaneously detect Mycobacterium tuberculosis complex (MTBC), NTM and RIF resistance. The platform was evaluated for its limit of detection (LOD) and specificity before clinical validation, followed by a prospective single-center study in patients with presumptive TB cases.

The calculated LOD for MTBC, NTM and RIF susceptibility was found to be 10.31 CFU/mL, 57.55 CFU/mL and 48.584 CFU/mL, respectively. The assay showed a sensitivity of 98.76% (95% CI: 96.41-99.74%) and a specificity of 94.42% (95% CI: 90.82-96.92%) for MTBC detection compared to the bacteriological TB standard. For NTM detection, the assay demonstrated a sensitivity of 91.98% (95% CI: 76.32-98.14%) and a specificity of 99.59% (95% CI: 98.54-99.95%). RIF resistance detection showed a sensitivity of 90.24% (95% CI:76.87-97.28%) and specificity of 95.98% (95% CI: 91.89-98.37%), with a high level of diagnostic agreement (Kappa: 0.8338) compared to GeneXpert. Sanger sequencing revealed that novel assay correctly classifies 98.6% of study cases as RIF resistant or susceptible, slightly higher that of GeneXpert.

These findings indicate that the novel MeltPlus MTB-NTM/RIF platform provides a rapid and accurate method for the simultaneously detecting MTBC, NTM, and RIF resistance, making it a promising tool for clinical TB/NTM diagnosis and management, further multi-center and field studies are recommended to validate its broader applicability.

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