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This is a small pilot study to look at the feasibility of creating a customized sleep mask for use with Continuous Positive Airway Pressure (CPAP) or other similar treatments for sleep apnea. The participant will have three dimensional (3D) pictures of the face taken by special cameras. The pictures will be sent to a 3D printer and a mask will be created based on the participant's face contours. The participant will use the mask for about 6 months. The study will measure the amount it is used during sleep and if there is an increase in reported comfort.
The aim of this study is to improve adherence and effectiveness of noninvasive ventilation by decreasing the side effects commonly seen with noninvasive ventilation. Studies have shown that even though noninvasive ventilation (NIV) with positive airway pressure (PAP) is successful at treating obstructive sleep apnea and hypoventilation, individuals have poor compliance with therapy. The reasons for poor compliance are numerous, but one significant and continually reported reason is poor mask fit. A poor mask fit is not only uncomfortable, but frequently causes side effects such as dry eyes, congestion, skin irritation and breakdown, and ineffective ventilation from inadequate pressures due to air leaking around the mask. Pediatric patients tend to be especially difficult to fit with conventional masks because of their smaller facial features and the lack of masks developed for pediatric use.
In this study, patients will be fitted with a custom made NIV mask following facial imaging with a 3D camera (Artec 3D Scanner). The facial image will be used to construct an NIV mask model using computer design software that will then be created by using a 3D printer.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 3D Printed NIV Mask | Experimental | 3D imaging and use of a custom mask from 3D printer |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 3D printed NIV mask | Device | use of 3D printed mask |
|
| Measure | Description | Time Frame |
|---|---|---|
| CPAP Adherence | Measure CPAP usage | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Narong Simakajornboon, MD | Cincinnati Children's Hopital Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cincinnati Children's Hospital Medical Center | Cincinnati | Ohio | 45229 | United States |
Data will be shared with treating sleep physicians to improve care
Data will be shared with treating sleep physicians to improve care
Data will be shared with treating sleep physicians to improve care
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Sep 9, 2016 | Sep 30, 2025 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D012891 | Sleep Apnea Syndromes |
| ID | Term |
|---|---|
| D001049 | Apnea |
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |
| D020919 | Sleep Disorders, Intrinsic |
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| D020920 |
| Dyssomnias |
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |