Trial of an AI-enabled Digital Stethoscope to Improve Antibiotic Stewardship

Trial statusRecruiting
Trial phasePhase 4
Trial typeInterventional
Biological sexAll
Age2-59
SponsorJohns Hopkins University

About this trial

Antibiotics are a mainstay of the treatment of lower respiratory infections in young children even though most episodes are caused by self-limiting viruses. Innovative child friendly tools that improve the diagnosis of respiratory illnesses, safely reduce the unnecessary use of antibiotics, and are suitable for implementation in resource-constrained settings are urgently required to safely improve antibiotic stewardship and stem the rising rates of antibiotic resistance globally.

In the Bangladesh Lung Auscultation Artificial Intelligence for Antibiotic Stewardship Trial (BLAAAST) the investigators aim to determine whether treatment failure frequency among children in rural Bangladesh managed by clinical guidelines enhanced by a commercially available, artificial intelligence (AI)-enabled digital stethoscope is non-inferior to guidelines alone. The investigators hypothesize treatment failure frequency among 'enhanced IMCI' participants will be no worse than standard care by a +/-2% margin, safely reducing antibiotic use by 50-60%. The investigators will also evaluate if a diagnostic strategy enhanced by an AI-enabled digital stethoscope is a sustainable alternative to standard care for children in rural Bangladesh. The investigators hypothesize that care augmented by an AI-enabled digital stethoscope will have additional benefits via reduced antibiotic use that will outweigh digital auscultation costs resulting in cost-effectiveness compared to current practice.

BLAAAST affords a unique opportunity to evaluate the efficacy of clinical guidelines enhanced by an AI-enabled digital stethoscope on child pneumonia outcomes in Bangladesh, if digital auscultation may be instrumental in the wider antibiotic stewardship strategy, and whether a digital stethoscope diagnostic tool is cost-effective in the care of children with respiratory illnesses.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

2 to 59 months of age (60 days to 59 months 29 days),

illness duration 14 days or less,

meeting non-severe pneumonia criteria, and

from the trial catchment areas.

Disqualifiers

prior participation,

age <2 months or >59 months,

illness duration >14 days,

not meeting IMCI-defined non-severe pneumonia criteria,

Trial design

Design model

Parallel

Treatments tested in this trial

  • Automated digital stethoscope

    Device

    The digital auscultation system intervention is comprised of a wireless electronic stethoscope and mobile phone application that records and analyzes lung sounds using an automated algorithm. The system has achieved European Union Class IIa medical device certification (EU Class IIa), which confirms its safety and clinical performance, and permits its use in clinical facilities by healthcare workers.

Treatment groups

2,500 Participants
are divided into 2 treatment groups
Group A: IMCI guidelines enhanced by automated digital stethoscopeExperimental treatment 1 intervention
Group B: IMCI guidelines without automated digital stethoscope enhancementNo intervention 0 interventions

Trial outcomes

Primary outcomes

1

Treatment failure

Treatment failure (primary outcome) is defined as (1) death at any time on or before day 7, or (2) clinical deterioration (development of any WHO danger sign and/or any WHO emergency sign (i.e., 'high-risk' signs)) at any time on or before day 7, or (3) the presence of chest indrawing and/or very fast breathing for age on day 7 (not before day 7), or (4) lost-to-follow-up at any time on or before day 7, or (5) hospitalization for any reason at any time on or before day 7, or (6) a change in antibiotic treatment at any time on or before day 7. Clinical deterioration is defined as the development of (1) any WHO-defined clinical danger sign, and/or (2) WHO-defined emergency sign, and/or (3) hypoxemia (SpO2 \<90%) at any time after enrollment.

Time frame
7 days

Secondary outcomes

1

Treatment failure (modified)

Treatment failure (modified - secondary outcome) is defined as (1) death at any time on or before day 7, or (2) clinical deterioration (development of any WHO danger sign and/or any WHO emergency sign (i.e., 'high-risk' signs)) at any time on or before day 7, or (3) the presence of chest indrawing and/or fast breathing for age on day 7 (not before day 7), or (4) lost-to-follow-up at any time on or before day 7, or (5) hospitalization for any reason at any time on or before day 7, or (6) a change in antibiotic treatment at any time on or before day 7. Clinical deterioration is defined as the development of (1) any WHO-defined clinical danger sign, and/or (2) WHO-defined emergency sign, and/or (3) hypoxemia (SpO2 \<90%) at any time after enrollment.

Time frame
7 days
2

Treatment relapse

Treatment relapse (secondary outcome) is defined as (1) death at any time after day 7, or (2) clinical deterioration (development of any WHO danger sign and/or any WHO emergency sign (i.e., 'high-risk' signs)) at any time after day 7, or (3) the presence of chest indrawing and/or very fast breathing for age after day 7, or (4) hospitalization for any reason at any time after day 7. Clinical deterioration is defined as the development of (1) any WHO-defined clinical danger sign, and/or (2) WHO-defined emergency sign, and/or (3) hypoxemia (SpO2 \<90%) at any time after day 7.

Time frame
14 days
3

Subgroup analysis: Treatment failure stratified by age

Analysis of treatment failure (primary outcome definition) stratified by age

Time frame
7 days
4

Subgroup analysis: Treatment failure stratified by sex

Analysis of treatment failure (primary outcome definition) stratified by sex

Time frame
7 days

Other outcomes

Sponsors and contacts

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Johns Hopkins University

Lead sponsor

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

Collaborator

Projahnmo Research Foundation

Collaborator

University College, London

Collaborator

Thomas Jefferson University

Collaborator

University of Washington

Collaborator