Computer Aided Screening for Tuberculosis in Low Resource Environments

NCT ID: NCT04545164

Last Updated: 2023-01-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

498 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-09-02

Study Completion Date

2022-05-26

Brief Summary

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People living with HIV (PLHIV) who require admission to hospital in WHO Africa region have poor outcomes. TB is very common in this group, but can be difficult to diagnose.

The CASTLE trial aims to determine whether systematic screening for tuberculosis using digital chest X-ray with computer-aided diagnosis (DCXR-CAD) plus urine lipoarabinomannan testing with Fujifilm SILVAMP TB LAM (FujiLAM) plus usual care can improve admission outcomes for hospitalised PLHIV, compared to usual care alone.

Our study is a single centre, unblinded, cluster-randomised (by day of admission) trial of DCXR-CAD plus FujiLAM plus usual care vs. usual care alone for screening for TB in unselected adult PLHIV admitted to a district general hospital in Malawi.

The primary outcome is the proportion of people starting TB treatment by the time of death or hospital discharge. The secondary outcomes are all-cause mortality at 56 days from enrolment, proportion of people starting TB treatment within 24 hours from enrolment, and proportion of people with undiagnosed TB. In the CASTLE study we collect a single sputum sample for M. tb culture from participants and undiagnosed TB specifically refers to a person who did not start TB treatment by the time of death or discharge from hospital and has a M. tb cultured from their sputum sample.

Alongside the two trial arms, a third smaller diagnostic cohort arm (1 in 9 of admission days / trial clusters) will explore the range of underlying infectious pathology. The diagnostic cohort does not contribute to trial outcomes.

Detailed Description

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CASTLE is funded by Wellcome, grant reference 203905/Z/16/Z

Conditions

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Tuberculosis Infection HIV Infections

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Usual Care

Participants in the usual care arm will receive no specific trial intervention. Usual care includes tests routinely available at Zomba Central Hospital, including (but not limited to) conventional (plain film) chest X-ray, urine Alere LAM and sputum Xpert Mtb/Rif on treating clinician request.

Group Type NO_INTERVENTION

No interventions assigned to this group

DCXR-CAD and FujiLAM and usual care

Participants randomized to the intervention arm will receive TB screening using DCXR-CAD and urine FujiLAM. The CAD score and FujLAM results will be appended into their medical notes for treating clinicians to see. If patients have a CAD score above a pre-determined threshold the study team will attempt to collect sputum for Xpert Mtb/Rif. Chest X-ray images will be available for clinicians to view. This is in addition to usual care (detailed above).

Group Type EXPERIMENTAL

CAD4TB

Intervention Type DIAGNOSTIC_TEST

CAD4TB is a Computer Aided Diagnosis (CAD) image processing algorithm that can aid interpretation of Chest X-ray images to accurately detect tuberculosis.

FujiLAM

Intervention Type DIAGNOSTIC_TEST

Fujifilm SILVAMP TB LAM is a high sensitivity test for mycobacterial lipoarabinomannan (LAM) in urine samples.

Diagnostic cohort

Patients in the observational enhanced diagnostic arm will receive an enhanced package of diagnostics. This is a smaller arm (1 in 9 of all clusters) and is observational only - participants in this arm do not contribute to trial outcomes.

Group Type OTHER

CAD4TB

Intervention Type DIAGNOSTIC_TEST

CAD4TB is a Computer Aided Diagnosis (CAD) image processing algorithm that can aid interpretation of Chest X-ray images to accurately detect tuberculosis.

FujiLAM

Intervention Type DIAGNOSTIC_TEST

Fujifilm SILVAMP TB LAM is a high sensitivity test for mycobacterial lipoarabinomannan (LAM) in urine samples.

Interventions

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CAD4TB

CAD4TB is a Computer Aided Diagnosis (CAD) image processing algorithm that can aid interpretation of Chest X-ray images to accurately detect tuberculosis.

Intervention Type DIAGNOSTIC_TEST

FujiLAM

Fujifilm SILVAMP TB LAM is a high sensitivity test for mycobacterial lipoarabinomannan (LAM) in urine samples.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Requires acute admission to a hospital medical ward at Zomba Central Hospital for any reason
* Is living with HIV (existing or new diagnosis, irrespective of ART status)
* Willing and able to give informed consent

Exclusion Criteria

* Aged \<18 years
* Has been admitted to a medical ward for longer than 18 hours
* Taking TB treatment before admission or has received treatment for TB within the preceding 6 months.
* Has already been in the study during an earlier hospital admission.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Liverpool School of Tropical Medicine

OTHER

Sponsor Role collaborator

Kamuzu University of Health Sciences

OTHER

Sponsor Role collaborator

Malawi-Liverpool-Wellcome Trust Clinical Research Programme

OTHER

Sponsor Role collaborator

London School of Hygiene and Tropical Medicine

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Rachael M Burke

Role: PRINCIPAL_INVESTIGATOR

London School of Hygiene and Tropical Medicine

Locations

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Zomba Central Hospital

Zomba, , Malawi

Site Status

Countries

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Malawi

References

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Burke RM, Nyirenda S, Twabi HH, Nliwasa M, Joekes E, Walker N, Nyirenda R, Gupta-Wright A, Fielding K, MacPherson P, Corbett EL. Design and protocol for a cluster randomised trial of enhanced diagnostics for tuberculosis screening among people living with HIV in hospital in Malawi (CASTLE study). PLoS One. 2022 Jan 10;17(1):e0261877. doi: 10.1371/journal.pone.0261877. eCollection 2022.

Reference Type BACKGROUND
PMID: 35007306 (View on PubMed)

Provided Documents

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Document Type: Statistical Analysis Plan

View Document

Other Identifiers

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17799

Identifier Type: -

Identifier Source: org_study_id

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