This is a randomized controlled clinical trial comparing treatment success of a gene-derived individualized drug-resistant Tuberculosis regimen to a standard Tuberculosis regimen based on South African National Tuberculosis guidelines.
When drug resistance is detected by molecular methods such as the Xpert MTB/RIF assay, second-line Multi Drug-Resistant (MDR) Tuberculosis treatment is started in the complete absence of detailed resistance information. The diagnosis of Multi Drug-Resistant Tuberculosis is confirmed only on availability of Line Probe Assay (LPA)/Drug Susceptibility Testing (DST) results. Extremely Drug-Resistant (XDR) Tuberculosis is diagnosed by in vitro phenotypic resistance to Rifampicin, Isoniazid, fluoroquinolones and injectable second-line drugs (i.e., amikacin, kanamycin, or capreomycin). Existing culture based Drug Susceptibility Testing provides results after 6-8 weeks. This duration may be further increased by other existing laboratory challenges, such as culture contamination. Furthermore, initial regimens are often not optimal and sometimes completely ineffective as there is a lack of Drug Susceptibility Testing to support them. More importantly, even optimal regimens are changed due to patient intolerance of the drug's side effects. Whole Genome Sequencing (WGS) has the advantage of determining the complete Deoxyribonucleic acid (DNA) sequence of an organism's genome at a single time point. Using this technology, genotypic mutations conferring resistance to anti-tuberculosis drugs can be identified. This information will assist in identifying not only potential resistant drugs, but also susceptible drugs and thus enable a more accurate and appropriate choice of regimen. In addition, drugs that will not add value to the treatment outcome, but will increase rates of adverse drug reactions, can be eliminated earlier, improving drug-resistant TB treatment outcomes. In this proposal, we aim to use Mycobacterium Tuberculosis (MTB) whole genome sequencing prior to the selection of a drug-resistant tuberculosis treatment regimen and thus provide an individualized treatment strategy for drug-resistant tuberculosis. By adopting this method, we hope to improve culture negative survival rates at 6 months post treatment initiation . This study will include 448 adult patients (age ≥ 18 years) that meet inclusion criteria. Patients referred by provincial satellite facilities with microbiological confirmation of drug-resistant tuberculosis (e.g. Xpert MTB/RIF assay / Line Probe Assay) to King DinuZulu Hospital (KDH) will be recruited. Patients randomized to the control arm will receive standard of care (SOC) treatment. Patients randomized to the intervention arm will be given an individualized treatment regimen based on whole genome sequencing conducted on Mycobacteria Growth Indicator Tube (MGIT) positive sputum samples collected at the screening visit.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
205
Patients with drug-resistant TB will receive a combination of any of the following drugs based on whole genome sequencing: rifampicin, rifabutin, isoniazid, high dose isoniazid, pyrazinamide, ethambutol, levofloxacin, moxifloxacin, ofloxacin, gatifloxacin, amikacin, capreomycin, kanamycin, streptomycin, ethionamide, prothionamide, cycloserine, terizidone, pretomanid, linezolid, sutezolid, clofazimine, bedaquiline, delaminid, para-aminosalicylic acid, imipenem/cilastatin, meropenem, amoxicillin/clavulanate, clarithromycin, azithromycin and thioacetazone
Patients with drug-resistant TB with receive a combination of any of the following drugs based on South African Department of Health guidelines: rifampicin, rifabutin, isoniazid, high dose isoniazid, pyrazinamide, ethambutol, levofloxacin, moxifloxacin, ofloxacin, gatifloxacin, amikacin, capreomycin, kanamycin, streptomycin, ethionamide, prothionamide, cycloserine, terizidone, pretomanid, linezolid, sutezolid, clofazimine, bedaquiline, delaminid, para-aminosalicylic acid, imipenem/cilastatin, meropenem, amoxicillin/clavulanate, clarithromycin, azithromycin and thioacetazone
King Dinuzulu Hospital
Durban, KwaZulu-Natal, South Africa
Culture negative survival rate
To determine if a gene-derived individualized treatment approach in patients with drug-resistant TB will improve culture negative survival rates at 6 months post treatment initiation
Time frame: 24 months
Culture negative survival rate
To determine if a gene-derived individualized treatment approach in patients with drug-resistant TB will improve culture negative survival rates at 6 months post treatment initiation
Time frame: 30 months
Tuberculosis treatment outcomes
Treatment outcomes are based on treatment success (cure rates and completion of treatment) or mortality or retention in care or time to culture conversion
Time frame: 30 months
Rates of adverse events
Rates of adverse events will be compared between arms
Time frame: 30 months
Characterization of multi drug-resistant tuberculosis strains
The minimum inhibitory concentrations of Mtb isolates will be correlated with the genotypic mutations detected and the evolution of drug resistance will be monitored by comparing serial isolates from patients
Time frame: 30 months
Drug Concentration
To determine the drug concentrations and long-term drug exposures to DR-TB drug regimens in DBS and hair samples respectively
Time frame: 30 months
Measure of adherence
To compare adherence to DR-TB drugs using drug concentrations in DBS samples, hair samples, pill count data and participant self-report
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Time frame: 30 months
Evolution of HIV drug resistance
To assess the evolution of HIV drug resistance in patients receiving Bedaquiline and ART for HIV/MDR-TB treatment
Time frame: 30 months
Improved assessment and management of DR-TB
Development of an optimized method for extraction of MTB DNA directly from sputum samples for WGS, compare resistance mutations detected by WGS to current Xpert and LPA; to design a clinical decision-making algorithm for assessment and management of detected resistance mutations
Time frame: 30 months