Evaluating the Impact of Computer-assisted X-ray Diagnosis and Other Triage Tools to Optimise Xpert Orientated Community-based Active Case Finding for TB and COVID-19
1 other identifier
interventional
26,200
2 countries
2
Brief Summary
Tuberculosis (TB) is now the commonest cause of death in many African countries. Globally, \~35% (almost 1 in 3) of TB cases are 'missed' (remain undiagnosed or undetected). In sub-Saharan Africa, 40-50% of the TB case burden remains undiagnosed within the community. These 'missed' TB cases (at primary care level) serve as a reservoir, which severely undermines TB control. With rapid advances in the development of TB screening tests, the investigators aim to determine the pragmatic utility of computer-assisted x-ray diagnosis (CAD). Recent data suggest that CAD performs on par with experienced radiologists to identify potential TB cases, hereby reducing the frequency at which Xpert tests are requested and helps to focus limited resources on the relevant cases. In addition, the investigators aim to test nascent screening technologies for TB diagnosis such as evaluating urine-based TB screening biosignatures. The COVID-19 pandemic has ravaged African peri-urban communities where TB is also common. With the pressing need to improve screening and diagnosis of COVID-19, the investigators plan to explore the potential for urine- and blood-based COVID-19 screening assays. Symptoms of COVID-19 and TB overlap, and limited affordability, as well as the stigma associated with both diseases, severely limits testing. Data are now urgently needed about the feasibility of co-screening and testing for TB and COVID-19. The utility of such an approach, if any, has not been studied in African communities.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Feb 2022
Longer than P75 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 1, 2022
CompletedFirst Posted
Study publicly available on registry
February 2, 2022
CompletedStudy Start
First participant enrolled
February 23, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 15, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedSeptember 25, 2025
September 1, 2025
3.5 years
February 1, 2022
September 19, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Time to detection of microbiologically proven TB
The microbiological reference standard for TB will be culture and/or Xpert positivity. Thus, the overall time to detection (using a proportional hazards model) and the proportion of TB cases detected at a specific time-point (e.g., 14-, 30- and 60-days) with and without culture (Xpert alone) will be reported.
Through study completion, up to 48 months
Secondary Outcomes (15)
Feasibility of CAD + POC Xpert performed by minimally trained healthcare workers
Through study completion, up to 48 months
Number of infectious TB cases detected (defined by cough aerosol sampling system [CASS] and/or smear and/or cavitatory disease positive)
Through study completion, up to 48 months
Time-specific proportion of participants initiated on TB treatment up to 60 days post-sample donation in each arm (7-, 14-, 30- and 60-days)
Through study completion, up to 48 months
Time to TB treatment initiation (both the median time to treatment in each group and time to event [treatment] analyses will be conducted)
Through study completion, up to 48 months
Yield of culture positive TB in household contacts of index participants
Through study completion, up to 48 months
- +10 more secondary outcomes
Other Outcomes (3)
Economic outcome: Cost effectiveness of CAD + POC Xpert (cost per TB case diagnosed and/or averted, and cost per death and disability-adjusted life year [DALY] averted)
Through study completion, up to 48 months
Economic outcome: Direct comparison of the cost effectiveness of ACF compared to passive case finding (the current public health practice)
Through study completion, up to 48 months
Economic outcome: Cost effectiveness considering drug resistant TB (DR-TB) and HIV prevention
Through study completion, up to 48 months
Study Arms (2)
CAD + POC Xpert
EXPERIMENTALCAD followed by Xpert in CAD-positive participants (performed at POC) employing a low-cost panel van that is staffed by three health care workers. CAD-negative participants will be followed up, while CAD-positive participants will be offered POC Xpert. Xpert-positive participants will be referred for TB treatment initiation, while Xpert-negative (but CAD-positive) participants will undergo a clinical review. Thus, the active case finding (ACF) interventional package is one of CAD + POC Xpert (only in CAD positive participants).
POC Xpert only
ACTIVE COMPARATORParticipants who are Xpert-positive will be referred for TB treatment initiation while Xpert-negative participants will be followed up. Thus, the active case finding (ACF) standard of care package is POC Xpert.
Interventions
It is an artificial intelligence (AI) system for detection of TB on CXR images. The system input is a frontal CXR, and the outputs are 1) a heatmap indicating suspicious regions on the image; and 2) a score (0-100) which implies the likelihood that the x-ray image shows TB.
A novel diagnostic for active case finding (GeneXpert MTB/RIF) for TB on sputum collected and performed at POC in a mobile van.
Eligibility Criteria
You may qualify if:
- Participants willing to complete community-based symptom screening, finger-prick and venepuncture blood sampling, urine testing, and/or undergo TB and/or COVID-19 diagnostic testing.
- Provision of informed consent.
- Participant 18 years or above.
- HIV-positive or negative participants will be included.
You may not qualify if:
- Inability to provide informed consent (e.g., mentally impaired).
- Participants who have completed TB treatment in the last two months, or who have self-presented to their local TB clinic and are currently being worked up for suspected TB.
- Participants already diagnosed with active TB on treatment.
- Participants unable to commit to at least a two-month follow-up.
- Female participants who are pregnant or who refuse a urine pregnancy test.
- Participants in the community who cannot access healthcare due to severe ill health or lack of access to the local clinic.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Cape Townlead
- European and Developing Countries Clinical Trials Partnership (EDCTP)collaborator
- Zambartcollaborator
- Biomedical Research and Training Institutecollaborator
- Ospedale San Raffaelecollaborator
- Radboud University Medical Centercollaborator
- Foundation for Innovative New Diagnostics, Switzerlandcollaborator
- University of Stellenboschcollaborator
Study Sites (3)
University of Cape Town
Cape Town, Western Cape, South Africa
Helen Ayles
Lusaka, Zambia
Junior Mutsvangwa
Harare, Zimbabwe
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Keertan Dheda, PhD
University of Cape Town
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
February 1, 2022
First Posted
February 2, 2022
Study Start
February 23, 2022
Primary Completion
August 15, 2025
Study Completion
December 1, 2025
Last Updated
September 25, 2025
Record last verified: 2025-09