Mycobactericidal Effects of Different Regimens Measured by Molecular Bacterial Load Assay Among People Treated for Multidrug-Resistant Tuberculosis in Tanzania
Overview
Authors
Affiliations
Rifampin or multidrug-resistant tuberculosis (RR/MDR-TB) treatment has largely transitioned to regimens free of the injectable aminoglycoside component, despite the drug class' purported bactericidal activity early in treatment. We tested whether killing rates measured by tuberculosis molecular bacterial load assay (TB-MBLA) in sputa correlate with composition of the RR/MDR-TB regimen. Serial sputa were collected from patients with RR/MDR- and drug-sensitive TB at days 0, 3, 7, and 14, and then monthly for 4 months of anti-TB treatment. TB-MBLA was used to quantify viable 16S rRNA in sputum for estimation of colony forming units per ml (eCFU/ml). killing rates were compared among regimens using nonlinear-mixed-effects modeling of repeated measures. Thirty-seven patients produced 296 serial sputa and received treatment as follows: 13 patients received an injectable bedaquiline-free reference regimen, 9 received an injectable bedaquiline-containing regimen, 8 received an all-oral bedaquiline-based regimen, and 7 patients were treated for drug-sensitive TB with conventional rifampin/isoniazid/pyrazinamide/ethambutol (RHZE). Compared to the adjusted killing of -0.17 (95% confidence interval [CI] -0.23 to -0.12) for the injectable bedaquiline-free reference regimen, the killing rates were -0.62 (95% CI -1.05 to -0.20) log eCFU/ml for the injectable bedaquiline-containing regimen ( = 0.019), -0.35 (95% CI -0.65 to -0.13) log eCFU/ml for the all-oral bedaquiline-based regimen ( = 0.054), and -0.29 (95% CI -0.78 to +0.22) log eCFU/ml for the RHZE regimen ( = 0.332). Thus, killing rates from sputa were higher among patients who received bedaquiline but were further improved with the addition of an injectable aminoglycoside.
Advances in tuberculosis biomarkers: unravelling risk factors, active disease and treatment success.
Schildkraut J, Kohler N, Lange C, Duarte R, Gillespie S Breathe (Sheff). 2024; 20(3):240003.
PMID: 39660087 PMC: 11629168. DOI: 10.1183/20734735.0003-2024.
Naidoo K, Naidoo A, Abimiku A, Tiemersma E, Gebhard A, Hermans S BMJ Open. 2024; 14(11):e084722.
PMID: 39609025 PMC: 11603726. DOI: 10.1136/bmjopen-2024-084722.
Tuberculosis patients with diabetes co-morbidity experience reduced complex clearance.
Danso E, Asare P, Osei-Wusu S, Tetteh P, Tetteh A, Boadu A Heliyon. 2024; 10(15):e35670.
PMID: 39170565 PMC: 11336890. DOI: 10.1016/j.heliyon.2024.e35670.
Mbelele P, Utpatel C, Sauli E, Mpolya E, Mutayoba B, Barilar I JAC Antimicrob Resist. 2022; 4(2):dlac042.
PMID: 35465240 PMC: 9021016. DOI: 10.1093/jacamr/dlac042.
Tuberculosis Treatment Monitoring and Outcome Measures: New Interest and New Strategies.
Heyckendorf J, Georghiou S, Frahm N, Heinrich N, Kontsevaya I, Reimann M Clin Microbiol Rev. 2022; 35(3):e0022721.
PMID: 35311552 PMC: 9491169. DOI: 10.1128/cmr.00227-21.