# Understanding the role of bilevel positive airway pressure (BPAP) in pediatric acute asthma exacerbations: A prospective, randomized, double blind, controlled trial.

> **NIH NIH R61** · UNIVERSITY OF COLORADO DENVER · 2022 · $478,224

## Abstract

Asthma remains one of the top three causes of hospitalization in children in the United States. Interventions that
rapidly reverse bronchial obstruction and decrease the need for continuous beta-agonist therapy will not only
directly benefit the patient, but also decrease the consumption of acute care resources. Bilevel positive airway
pressure (BPAP) is a form of non-invasive positive pressure ventilation that may stent open airways, improve
mucous clearance, recruit alveoli, and increase responsiveness to continuous beta-agonist therapy in the small
distal airways. However, BPAP is not currently part of the NIH guidelines for the management of pediatric acute
asthma secondary to the lack of quality pediatric clinical trials. The goal of this prospective, randomized, double
blind, controlled trial is to determine if early initiation of BPAP is effective and safe in pediatric patients presenting
to a pediatric emergency department with acute moderate to severe asthma exacerbations who fail first line
therapy.

## Key facts

- **NIH application ID:** 10448153
- **Project number:** 1R61HL158814-01A1
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** Patrick Thomas Wilson
- **Activity code:** R61 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $478,224
- **Award type:** 1
- **Project period:** 2022-09-20 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10448153

## Citation

> US National Institutes of Health, RePORTER application 10448153, Understanding the role of bilevel positive airway pressure (BPAP) in pediatric acute asthma exacerbations: A prospective, randomized, double blind, controlled trial. (1R61HL158814-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10448153. Licensed CC0.

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