Acoustics as a Metric of Airway Pressure in Premature Infants Using Bubble Continuous Positive Airway Pressure
Bubble CPAP
The Use of Bubble Continuous Positive Airway Pressure in Premature Infants: Acoustics as a Metric of Effective Pressure Delivery
1 other identifier
observational
30
1 country
1
Brief Summary
This is an observational, proof-of-concept, feasibility study where 30 preterm infants on bubble CPAP with gestational age \< 32+0 weeks will be recruited from the neonatal intensive care unit (NICU) at the Montreal Children's Hospital. The study's main goals are:
- 1.To determine the relationship between ambient bubbling sounds and delivered pressures in preterm infants on bCPAP.
- 2.To determine the relationship between transmitted bubbling sounds and airway pressures transmitted to the lungs of preterm infants on bCPAP.
- 3.To develop models to predict delivered and transmitted bCPAP pressures from the acoustic properties of bubbling sounds.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Apr 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 3, 2025
CompletedFirst Submitted
Initial submission to the registry
July 2, 2025
CompletedFirst Posted
Study publicly available on registry
July 11, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
March 30, 2026
March 1, 2026
1.4 years
July 2, 2025
March 24, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Pressure
The mean pressure and the standard deviation of the pressure will be computed for each segment.
3 hours
External bubble CPAP sounds
Two metrics will be computed: 1. The root mean square (RMS) 2. The power contained between a pre-determined range within each segment; We will determine the range that contains 80% of the signal power, in order to minimize other noises from bubble CPAP signal.
3 hours
Internal bubble CPAP sounds
1. We will apply biomedical signal processing methods to separate the bubbling sounds from breathing sounds. Then, RMS and power will be computed. 2. We will use the Pearson correlation coefficient to compute the relationship between bubbling sound and pressure metrics. We will evaluate the linear regression models to identify the combination of sound metrics and covariates with the highest predictive accuracy.
3 hours
Study Arms (2)
Phase I: 15 preterm infants on Bubble Continuous Positive Airway Pressure (bCPAP)
Group 1 will consist of 15 preterm infants on bCPAP in whom the external bubble CPAP sounds and the pressures from the CPAP system itself will be recorded for 3 hours. To do so, we will use a standard microphone placed on the water tank and an external pressure transducer inserted into the expiratory limb of the bubble CPAP circuit.
Phase II: 15 preterm infants on Bubble Continuous Positive Airway Pressure (bCPAP)
Group 2 will consist of 15 preterm infants on bCPAP in whom the external bubble CPAP sounds and the pressures from the CPAP system itself will be recorded. To do so, we will use a standard microphone placed on the water tank and a pressure transducer inserted into the expiratory limb of the bubble CPAP circuit. In addition, the internal bubble CPAP sound and pressure transmitted to the infant's lungs will be measured. For these, a wireless acoustic sensor will be secured on the infant's suprasternal notch to capture transmitted CPAP sounds, and an internal pressure transducer will be inserted from the infant's mouth into the nasopharynx to record the pressure delivered in the airway. Data will be recorded for 3 hours.
Interventions
The delivered CPAP pressure will be measured using an ultra-thin, multi-use catheter pressure transducer inserted into a port in the expiratory limb of the bubble CPAP circuit.
The bubble sound of the water tank will be collected with a standard condenser microphone directly affixed to the pole holding the water tank, with a secure clip.
The wireless acoustic sensor contains a dual microphone capable of capturing target sounds as well as ambient noise. The frequencies associated with ambient noise will be subtracted to maximize the signal-to-noise ratio of the bubble sound waveform. The wireless sensor will be placed on the suprasternal notch of the infant for monitoring the bubble sounds transmitted to the lungs and secured using a silicone-based tape approved for use in neonates. Data will be transmitted in real-time to a research-dedicated tablet using the Bluetooth Communication Controller and stored for future analysis.
The transmitted CPAP pressure will be measured using an ultra-thin, single-use catheter pressure transducer inserted through the mouth to the level of the infant's nasopharynx. The data will be acquired with a sampling rate of 10kHz and stored for later analysis.
Eligibility Criteria
Preterm infants admitted to the neonatal intensive care unit at the Montreal Children's Hospital.
You may qualify if:
- Infants on bCPAP with gestational age \< 32+0 weeks
- Postmenstrual age between 28+0 and 36+6 weeks at the time of the study
- Postnatal age greater than 168 hours (7 days) at the time of the study
- On the bubble CPAP device with binasal prongs at the time of the study
- Receiving bubble CPAP levels of 5 to 7 cm H2O with gas flows between 6L/min and 10L/min at the time of the study
You may not qualify if:
- Infants with known major congenital anomalies
- Infants with known congenital heart disorders
- Infants with known neuromuscular disease
- Infants receiving ventilator-derived CPAP at the time of the study
- Infants receiving CPAP via a nasal mask interface at the time of the study
- Infants receiving inotropes, narcotics or sedative agents at the time of the study
- Infants deemed clinically unstable for the study by the attending neonatologist
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
McGill University Health Center
Montreal, Quebec, H4A 3J1, Canada
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Wissam Shalish, MD PhD
McGill University Health Centre/Research Institute of the McGill University Health Centre
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
July 2, 2025
First Posted
July 11, 2025
Study Start
April 3, 2025
Primary Completion (Estimated)
September 1, 2026
Study Completion (Estimated)
December 1, 2026
Last Updated
March 30, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share