Condition: Respiratory Infections in Children · Sponsor: Johns Hopkins University
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 aff…
This description comes directly from the study's public registry record.
Eric D McCollum, MD, MPH · 410-955-2035 · emccoll3@jhmi.edu
Salahuddin Ahmed, PhD · +880 255 035 439 · sahmed@prfbd.org
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| Projahnnmo Research Foundation | Sylhet, Bangladesh | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07362433