Study Results
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View full resultsBasic Information
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COMPLETED
NA
48 participants
INTERVENTIONAL
2022-05-24
2024-06-06
Brief Summary
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Detailed Description
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Group A will initially have the automatic device interface with HFNC for 6 hours. The device will have the target SpO2 parameters ordered by the treating physician input into the device. A study laptop will interface with the device, cardiopulmonary monitor, and pulse oximeter to record the data for the study. Sensors will be used to record all adjustments to the device/respiratory support equipment (i.e. blend valve and flow valve used in HFNC). These sensors will continuously record the data for later analysis. The device will constantly evaluate data sent to it from the pulse oximeter and bedside monitor recording all of the data and alarms. In response to alarms, displayed data, doctor's orders, etc., nurses will continue to apply manual inputs to make adjustments to flow and provide tactile stimulus to the subject but not adjust FiO2 unless manual mode is selected. Recorded sensor measurements and manual inputs by the nurse will be used to refine the existing models as well as new models of response in HR, RR, and SpO2 to flow adjustments and tactile stimulus.
After the first 6 hours, the device will be switched to manual mode for the subject (nurse makes all adjustments for FiO2), but the laptop and sensor data logging system will continue to record data from the patient and the respiratory support equipment. This will record the information for the nurse intervention/baseline care part of the study, which continue for 6 hours. During the entire process, the bedside nurse will keep a diary of any events/interventions using the time prominently displayed on the monitoring laptop. This "time-stamped" diary system will allow for easier retrieval of and comparison to the data from the device and monitoring laptop. Also, the monitoring laptop will have a record of all the data, including alarms from the pulse oximeter as well as the bedside monitor to allow for easier retrieval of data related to alarm events and interventions. The laptop will also record any interventions made by the device to allow for easier retrieval of data related to device interventions. The treatment will then alternate periods of each treatment for a total of 6 days (24 6-hour periods).
Group B will have the exact opposite order as group A. Group B infants will initially have the laptop interface with all of the monitors and sensor measurements. However, the nurse intervention/baseline care stage of the study will take place for the first 6 hours. Next, group B will have the device interface with their respiratory equipment, and the data will be recorded as described above for the next 6 hours of the study. The the treatment will alternate every 6 hours for a total of 6 days.
This design was chosen because the premature infants should have fewer events as they grow older each day, and it will help take into account this potential bias. Also, the subjects will be randomized to group A or B in sets of 8 (i.e. in each group of 8 envelopes, 4 will be group A and 4 will be group B). During the entire study process the infants will receive normal NICU care and the parameters for the SpO2 range will be set by the physician caring for the infant. There are also built in manual overrides for the device which allow the NICU to make changes while the subject is on the device phase of the study. The device will be able to record these changes and the staff will record their manual interventions in the study diary.
We have planned our sample size using a non-inferiority test for a cross-over design, based on our primary endpoint, t\_delta. For a given patient, define t\_delta = (mean elapsed time needed for device to re-establish SpO2 after alarm) - (mean elapsed time needed for nurse to re-establish SpO2 after alarm). The margin of non- inferiority will be chosen as t\_delta \> -10 sec, so that a device which is no worse than 10 sec, on average, than a nurse will be considered non-inferior. Assuming the standard deviation of t\_delta =12 and the true mean difference is zero under the alternate hypothesis, a sample size of 48 achieves 88% with alpha=0.05. If there is 16% patient drop-out before crossover, so that the final n=40, the power drops to 82%. In all analysis, a (paired) t-test will be used. Our secondary endpoint is secondary endpoint is the proportion of time SpO2 is within the prescribed range, using an area-under-the-curve approach (with a discrete state) to account for varying time-on-test. Our secondary endpoint will be analyzed in a similar manner.
We will plan for one interim analysis to determine if the trial should be stopped early due to futility (strong evidence of inferiority, where a confidence interval for t\_delta lies entirely to the left of -10 and doesn't intersect -10) or for efficacy (strong evidence of superiority with margin \> +20 sec). This will be carried out when n=32 (16 subjects per site) is attained and stopping decisions will be based on O'Brien-Fleming stopping principles. The interim analysis will be carried out by an independent statistician on the University of Missouri's Data Safety and Monitoring Committee, which is also available to monitor the study for adverse events if requested by the IRB. In the event that the patient drop-out is greater than 16% before crossover, then a more complicated estimation procedure will be employed using mixed effects models; otherwise, complete cases will be used.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
BASIC_SCIENCE
NONE
Study Groups
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Crossover Sequence 1
In this arm, an automatic oxygen control device will be used to make adjustments to the blend of oxygen and air supplied to the subject for the first six hours.
In this arm, a nurse will manually make adjustments to the blend of oxygen and air supplied to the subject for the second six hours. The study continues in an automatic and manual repeating pattern for six days.
Automatic control of inspired oxygen
A device will be used to automatically adjust the blend of oxygen and air with the ability to return to manual control as needed.
Crossover Sequence 2
In this arm, a nurse will manually make adjustments to the blend of oxygen and air supplied to the subject as in the standard of care for the first six hours.
In this arm, an automatic oxygen control device will be used to make adjustments to the blend of oxygen and air supplied to the subject for the second six hours. The study continues in a manual and automatic repeating pattern for six days.
Automatic control of inspired oxygen
A device will be used to automatically adjust the blend of oxygen and air with the ability to return to manual control as needed.
Interventions
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Automatic control of inspired oxygen
A device will be used to automatically adjust the blend of oxygen and air with the ability to return to manual control as needed.
Eligibility Criteria
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Inclusion Criteria
* Less than 31 weeks estimated gestational age or less than 1500 grams at birth
* Currently on high flow nasal cannula or bubble CPAP
* Require at least 2 adjustments to the FiO2 per shift and/or have at least 2 desaturation events per shift
Exclusion Criteria
* Infants who are set on a minimum FiO2 set point by their healthcare provider
ALL
No
Sponsors
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Sacred Heart Health System
OTHER
University of Missouri-Columbia
OTHER
Responsible Party
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Roger C Fales
Associate Professor of Mechanical and Aerospace Engineering
Principal Investigators
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John A Pardalos, MD
Role: PRINCIPAL_INVESTIGATOR
University of Missouri-Columbia
Ramak R Amjad, MD
Role: PRINCIPAL_INVESTIGATOR
Studer Family Children's Hospital at Sacred Heart
Roger C Fales, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Missouri-Columbia
Locations
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Studer Family Children's Hospital at Sacred Heart
Pensacola, Florida, United States
University of Missouri
Columbia, Missouri, United States
Countries
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References
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Hou X, Faqeeh A, Amjad R, Pardalos J, Fales R. Clinical Evaluation of an Automatic Oxygen Control System for Premature Infants Receiving High-Flow Nasal Cannula for Respiratory Support: A Pilot Study. J Med Device. 2022 Sep 1;16(3):031005. doi: 10.1115/1.4054250. Epub 2022 May 10.
Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Document Type: Informed Consent Form: Consent 1, Missouri
Document Type: Informed Consent Form: Consent 2, Florida
Other Identifiers
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2003117
Identifier Type: -
Identifier Source: org_study_id
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