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Sequencing Mycobacteria and Algorithm-determined Resistant Tuberculosis Treatment Trial

Sequencing Mycobacteria and Algorithm-determined Resistant Tuberculosis Treatment Trial

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05017324
Acronym
SMARTT
Enrollment
248
Registered
2021-08-23
Start date
2021-09-21
Completion date
2025-01-31
Last updated
2021-10-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Drug-resistant Tuberculosis, Multidrug Resistant Tuberculosis, Pulmonary Tuberculoses, Rifampicin Resistant Tuberculosis

Keywords

Whole Genome Sequencing, Drug Resistant Tuberculosis

Brief summary

The primary aim of this pragmatic trial is to determine the effectiveness of a Whole Genome Sequencing (WGS) Drug Sensitivity Testing (DST) strategy to guide individualised treatment of rifampicin resistant tuberculosis (RR-TB) patients. The primary objective is to determine the effectiveness of this WGS DST strategy in patients diagnosed with RR-TB. We will additionally perform an exploratory health economics evaluation of both arms, and will determine the feasibility of the WGS DST strategy.

Detailed description

The trial will be a single blinded randomised controlled, pragmatic, medical device trial evaluating a Whole Genome Sequencing (WGS) Drug Sensitivity Testing (DST) strategy to guide individualised treatment of rifampicin resistant tuberculosis (RR-TB) patients. A total of 248 patients diagnosed with RR-TB in the South African Free State province will by randomised to one of two trial arms. 124 patients will be assigned to the intervention arm, consisting of a WGS DST strategy for diagnosing drug resistance profile and an algorithm-determined individualised RR-TB treatment recommendation. 124 patients will be assigned to the control arm where the diagnosis of Mtb drug resistance and individualisation of RR-TB treatment will happen according to the Standard of Care (SOC) procedures.

Interventions

DEVICEWGS DST strategy

WGS DST strategy for diagnosing the TB drug resistance profile and an algorithm-determined individualised RR-TB treatment recommendation

Sponsors

Aurum Institute
CollaboratorOTHER
University of Stellenbosch
CollaboratorOTHER
University of the Free State
CollaboratorUNKNOWN
Free State Department of Health
CollaboratorUNKNOWN
Universiteit Antwerpen
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Intervention model description

Randomized Controled Phase 4 pragmatic single blinded medical device trial.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Diagnosed with RR-TB * Diagnosed with pulmonary TB (PTB) or PTB plus extra-pulmonary TB (EPTB) * ≥18 years of age * Able to sign informed consent * Not on TB treatment at time of enrolment

Exclusion criteria

* Patients diagnosed EPTB without pulmonary involvement * Patients with TB Meningitis or TB of the bone. * Has any condition that, in the opinion of the investigator or physician, would preclude provision of informed consent, make participation in the study unsafe, complicate interpretation of study outcome data, interfere with achieving the study objectives or compromise patient safety.

Design outcomes

Primary

MeasureTime frameDescription
The Effectiveness of a WGS DST strategy for individualisation of RR-TB treatmentDay 0 to month 6 (6 months)The effectiveness will be determined by the rate of change in time to positivity (TTP) over 6 months in the Mycobacterial Growth Indicator Tuber (MGIT) system \[time from: Day 0 to Week 24\]. The effectiveness of the WGS DST strategy will be determined by the rate of change in TTP in liquid media MGIT cultures of sputum samples collected during the first 6 months of treatment. The TTP will be used to determine the change in mycobacterial load using a non-linear mixed effect time-to-event model that provides a longitudinal representation of mycobacterial load (measured as TTP in MGIT) at weeks 2, 3, 4, 5, 6, 7, 8, 12, 16, 20 and 24

Secondary

MeasureTime frameDescription
Health economic evaluation of a WGS DST strategy for individualization of RR-TB treatmentStart of treatment to end of treatment (which may vary from 6 months to over 11 months)The difference in total cost over the entire treatment period from a patients and health system perspective between a WGS strategy and SOC strategy will be assessed by comparing costing data collected at month 1 of treatment, month 6 of treatment and at the end of treatment.
Impact of WGS strategy for individualisation of RR-TB treatment on Health related Quality of Life (HRQOL)Start of treatment to end of treatment (which may vary from 6 months to over 11 months)The difference in changes in health relates quality fo life will be assessed by comparing the change in HRQOL over time between patients randomised to the WGS and SOC strategies for individualisation of RR-TB treatment, using results of the EQ-5D-5L questionnaire collected at baseline, month 1, 2, 3, 4, 5, 6 and end of treatment.

Countries

South Africa

Contacts

Primary ContactElise De Vos, MSc
elise.devos@uantwerpen.be0032477715350
Backup ContactAnnelies Van Rie, PhD, MD
annelies.vanrie@uantwerpen.be

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026