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CompletedNCT05423847TrUSTUpdated Feb 13, 2025

Triage UltraSound in Tb Endemic Regions

An observational study in Tuberculosis, Lower Resp Tract Infection and Pneumonia, sponsored by Centre Hospitalier Universitaire Vaudois. Completed at 3 sites in 3 countries. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-02-13.

Sponsored by Centre Hospitalier Universitaire Vaudois · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
504
Ages
18 Years and older
Sex
All
01

Study summary

In Sub-Saharan Africa, lower respiratory tract infections (LRTIs) and tuberculosis (TB) jointly are the leading cause of overall mortality. There is a need to integrate sustainable triage and management strategies into standard care. The TrUST study investigates the utility of point-of-care ultrasound (POCUS) for diagnosis and prognosis of LRTIs in TB endemic regions in the outpatient triage setting. Automated interpretation of POCUS by artificial intelligence (AI) may further standardize and improve its predictive utility as well as facilitate its implementation into usual practice.

Read the detailed description

Design International multicentre prospective cohort study

Setting This study aims to explore the performance of POCUS in a pre-hospital setting in countries with different prevalences of HIV: South- Africa (high prevalence), Benin (low prevalence) and Mali (low prevalence).

Study procedures Pre-recruitment training Before initiating the study, participating clinicians will benefit from lung ultrasound (LUS) and POCUS protocols for extra pulmonary TB (FASH+ exam) training with a field expert. The participating clinicians are required to pass a final expert test before start of patient recruitment and to have a minimum of 20 supervised US.

Inclusion (Day 0) Patients inclusion will be performed over a period of 18 to maximum 24 months. Recruitment will stop before the anticipated end if the inclusion of 1000 patients is reached.

Clinical data Data collected include demographic characteristics (age, sex, occupation etc.), past medical history (previous TB, Coronavirus Disease (COVID), vaccination status, documented past episodes of COVID-19, HIV status,...), symptoms (respiratory symptoms, specific COVID-19 symptoms (from the Centers for Disease Control COVID checklist), specific pulmonary TB symptoms (from the CDC TB checklist) and routine clinical examination findings (vital parameters, oxygen saturation, lung auscultation,...).

Laboratory analyses

Analyses performed on site:

  • HIV screening with a serial two rapid test algorithm as per World Health Organization (WHO) guidelines : Screening with Alere Determine combo®; if positive, confirmation by a second rapid test First Response® HIV 1-2-0, CD4 count and/or Viral load as per national guidelines.
  • Sputum for GeneXpert Mycobacterium Tuberculosis (MTB)/rifampicine (RIF) assay
  • Induced sputum for a new GeneXpert MTB assay if a routine spot and second morning GeneXpert MTB is negative and sputum quality was low (salivary) as per WHO consolidated guidelines
  • Sputum for Gram stain and standard bacteriological culture
  • Nasopharyngeal swab for Severe Acute Respiratory Syndrome Coronovirus (SARS-CoV-2) real-time polymerase chain reaction (RT-PCR) (Cepheid Xpert Xpress SARS-CoV-2) Since the additional diagnostic yield of mycobacterial culture is shown to be very low in adult patients with cough in Benin, it is reserved for GenXpert MTB/RIF resistant cases, specimens other than sputum (e.g. pleural effusions, where sensitivity of GeneXpert MTB/RIF is low) and patients with treatment failure. Mycobacterial culture will be done on solid medium (Löwenstein-Jensen).

Analyses performed retrospectively on stored samples:

  • Nasopharyngeal swab: PCR for influenza
  • Sputum: syndromic molecular panel targeting influenza and atypical bacteria. Radiological examinations
  • Chest X-Ray (CXR) - face: digital format will be stored
  • LUS exam using a standard point-of-care ultrasound device (ultrasound-on-a-chip), LUS will be recorded according to a standard 12-point acquisition protocol with 4 additional apical sites (2 subclavicular and 2 axillary) for improved TB detection.
  • This involves scanning both apexes, the anterior and posterior apexes, anterior superior, anterior inferior, posterior superior, posterior inferior and lateral thorax regions
  • FASH plus exam using a standard point-of-care ultrasound device. The FASH plus protocol will be performed in a standardized manner as previously described.

All US images captured will be digitally recorded and transferred via a secured internet connection along with relevant metadata to a secure server for storage. For study quality control purposes, the quality of the image and the interpretation of a random sample of images will be evaluated retrospectively by an experienced radiologist.

Clinician-evaluated LUS and FASH All LUS and FASH exams will be read by 2 independent readers blinded to patients diagnosis and outcome. A third reader will solve discrepancies between the two readers. They will fill in a standardized LUS and FASH report.

AI-evaluated LUS and FASH The US images will be further used for secondary studies developing deep learning algorithms for LUS and FASH diagnosis.

Follow-up (D7 and D28) Patients will receive a follow-up phone call by the study nurse on day 7 and day 28. Data on the clinical evolution are collected: hospitalization, non-invasive ventilation, intubation, death.

Follow-up of TB treatment failures and deaths until D180 TB patients will be followed in the national TB register and treatment failures will be recorded at 6 months of treatment (according to national guidelines).

Deaths will be recorded until D180 as well.

02

Conditions studied

  • Tuberculosis
  • Lower Resp Tract Infection
  • Pneumonia
03

In context

Tuberculosis

1,170 studies on the registry are indexed under Tuberculosis; 175 are open to participants now.

This study's enrollment of 504 is above the median of 253 across 317 observational studies indexed under Tuberculosis.

Browse Tuberculosis studies →

Lead sponsor

Centre Hospitalier Universitaire Vaudois is the lead sponsor of 208 studies on the registry; 48 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

  • Benin: 6'500 cumulative total detected and declared COVID-19 cases since march 2020 to date (NB true COVID-19 incidence unknown due to undertesting), TB incidence 55/100'000/year, low HIV (prevalence \< 2%)
  • South Africa: 1,522'697 cumulative total detected and declared COVID-19 cases since march 2020 to date TB incidence 615/100.000/year, high HIV (prevalence approximately 20%)
  • Mali: 30'420 cumulative total detected and declared COVID-19 cases since march 2020 to date (NB true COVID-19 incidence unknown due to undertesting), TB incidence 52/100'000/year, low HIV (prevalence \< 2%)

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age ≥18 years
  • Suspicion of lower respiratory tract infection (defined as presence of cough with at least one of the following: fever, dyspnea/tachypnea, sputum production, chest pain, hemoptysis or cachexia)

Exclusion criteria

Exclusion Criteria:

  • Cough/dyspnea from a definite non-infectious origin (cardiac, asthmatic...)
  • Inability to cooperate with ultrasound procedure
  • Inability to sign (third witness procedure available for illiterate patients)
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
504 participants (actual)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • Benin1

    Benin urban recruitment site National teaching hospital for tuberculosis, outpatient emergency department

    Diagnostic Test: POCUS

  • Mali1

    Mali urban recruitment site University Hospital Bamako, outpatient emergency department

    Diagnostic Test: POCUS

  • South-Africa1

    South-Africa rural recruitment site 1 Tintswalo hospital, outpatient emergency department

    Diagnostic Test: POCUS

  • South-Africa2

    South-Africa rural recruitment site 2 Zithulele hospital, outpatient emergency department

    Diagnostic Test: POCUS

Interventions

  • Diagnostic testPOCUS

    POCUS of lungs, pericardium and abdomen

06

What researchers measure

Primary outcomes

  1. Sensitivity of LUS for the detection of TB

    For LUS, each lung quadrant will be scored using a 6 feature LUS score (modified Soldati score) ranging from 1 (aerated lung), 2 (interstitial syndrome), 3 (sub centimeter pleural lesions), 4 (lung consolidation), 5 (pleural effusion) to 6 (pneumothorax). Sensitivity of LUS score for the diagnosis of TB using microbiological tests (GenXpert MTB/RIF for HIV negative patients, mycobacterial culture for HIV patients and extra-pulmonary samples) as reference standards

    Time frame: 18 to 24 months

  2. Specificity of LUS for the detection of TB

    For LUS, each lung quadrant will be scored using a 6 feature LUS score (modified Soldati score) ranging from 1 (aerated lung), 2 (interstitial syndrome), 3 (sub centimeter pleural lesions), 4 (lung consolidation), 5 (pleural effusion) to 6 (pneumothorax). Sensitivity of LUS score for the diagnosis of TB using microbiological tests (GenXpert MTB/RIF for HIV negative patients, mycobacterial culture for HIV patients and extra-pulmonary samples) as reference standards

    Time frame: 18 to 24 months

  3. Sensitivity of FASH PLUS for the detection of TB

    For the pericardial and abdominal ultrasound, a score according to the FASH PLUS protocol will be attributed ranging from 0 (no pathology) to 6 (presence of pericardial effusion, abdominal adenopathies, pleural effusion, splenic lesions, hepatic lesions, ascites). Sensitivity of FASH PLUS score for the diagnosis of TB using microbiological tests (GenXpert MTB/RIF for HIV negative patients, mycobacterial culture for HIV patients and extra-pulmonary samples) as reference standards.

    Time frame: 24 to 36 months

  4. Specificity of FASH PLUS for the detection of TB

    For the pericardial and abdominal ultrasound, a score according to the FASH PLUS protocol will be attributed ranging from 0 (no pathology) to 6 (presence of pericardial effusion, abdominal adenopathies, pleural effusion, splenic lesions, hepatic lesions, ascites). Specificity of FASH PLUS score for the diagnosis of TB using microbiological tests (GenXpert MTB/RIF for HIV negative patients, mycobacterial culture for HIV patients and extra-pulmonary samples) as reference standards.

    Time frame: 24 to 36 months

  5. Sensitivity of combined LUS and FASH PLUS features for the detection of TB

    Sensitivity of combined LUS and FASH PLUS score for the diagnosis of TB using microbiological tests (GenXpert MTB/RIF for HIV negative patients, mycobacterial culture for HIV patients and extra-pulmonary samples) as reference standards.

    Time frame: 24 to 36 months

  6. Specificity of combined LUS and FASH PLUS features for the detection of TB

    Specificity of combined LUS and FASH PLUS score for the diagnosis of TB using microbiological tests (GenXpert MTB/RIF for HIV negative patients, mycobacterial culture for HIV patients and extra-pulmonary samples) as reference standards.

    Time frame: 24 to 36 months

  7. Sensitivity of AI-interpreted LUS for the detection of TB

    LUS images will be scored binary by microbiological-label trained algorithms as TB or not TB. Prediction: Sensitivity of AI-assisted interpretation LUS for the detection of TB using microbiological tests as reference standards

    Time frame: 24 to 36 months

  8. Specificity of AI-interpreted LUS for the detection of TB

    LUS images will be scored binary by microbiological-label trained algorithms as TB or not TB. Prediction: Specificity of AI-assisted interpretation LUS for the detection of TB using microbiological tests as reference standards

    Time frame: 24 to 36 months

  9. Sensitivity of AI-interpreted FASH PLUS for the detection of TB

    FASH PLUS images will be scored binary by microbiological-label trained algorithms as TB or not TB. Prediction: Sensitivity of FASH PLUS for the detection of TB using microbiological tests as reference standards

    Time frame: 24 to 36 months

  10. Specificity of AI-interpreted FASH PLUS for the detection of TB

    FASH PLUS images will be scored binary by microbiological-label trained algorithms as TB or not TB. Prediction: Specificity of FASH PLUS for the detection of TB using microbiological tests as reference standards

    Time frame: 24 to 36 months

Secondary outcomes

  1. Qualitative assessment using semi-structured interviews (based on grounded theory methods) with end users of the barriers and facilitators of the implementation of POCUS

    Qualitative assessment using semi-structured interviews (based on grounded theory methods) with end users of the barriers and facilitators of the implementation of POCUS to assess its feasibility, sustainability and acceptability

    Time frame: 12 months

  2. Qualitative assessment using semi-structured interviews (based on grounded theory methods) with end users of the barriers and facilitators of the implementation of AI clinical decision support

    Qualitative assessment using semi-structured interviews (based on grounded theory methods) with end users of the barriers and facilitators of the implementation of AI clinical decision support to assess its feasibility, sustainability and acceptability

    Time frame: 12 months

07

Study locations

3 sites
  • CNHUPPC
    Cotonou, Atlantic, Benin
  • CHU point G
    Bamako, Mali
  • Wits Rural University
    Acornhoek, South Africa
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 13, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05423847
Collaborators
National University Hospital for tuberculosis, Cotonou, Benin, Ecole Polytechnique Fédérale de Lausanne, University of Witwatersrand, South Africa, National University Hospital (CNHU point G), Bamako, Mali
Responsible party
Dr Boillat-Blanco Noemie (Principal investigator, Centre Hospitalier Universitaire Vaudois) — Principal investigator
First posted
Jun 21, 2022
Start date
Oct 14, 2021
Primary completion
Aug 11, 2023
Completion
Feb 10, 2025
Last update
Feb 13, 2025

Study contacts

Mary-Anne Hartley, MD-PhD
principal investigator · Ecole Polytechnique Fédérale de Lausanne
Noémie Boillat Blanco, MD-PhD
principal investigator · University of Lausanne Hospitals
Veronique Suttels, MD
principal investigator · University of Lausanne Hospitals

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Aug 2023. You cannot join it, but the record below documents what was studied.

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