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In non-invasive mechanical ventilation (NIMV), the interface is the primary determinant of success, as adherence and quality of therapy mainly depend on it. The aim of this study is to investigate the usefulness of a customised mask approach to minimise leakage and upper airway obstruction. It will focus on ventilator registries and changes in the way they can be corrected with these customised masks.
The process involves 3D face scanning and dedicated computer-aided design. The processing and manufacturing of the masks is based on additive manufacturing through 3D printing.
In non-invasive mechanical ventilation (NIMV), the interface is the primary determinant of success, as adherence and the quality of therapy depend mainly on it. A deteriorated or inadequate mask can lead to unintentional leaks or jaw and tongue displacements, thereby increasing obstructive events in the upper airway. There is a growing interest in the use of personalized masks designed using facial scanning and 3D printing technology. Previous studies have demonstrated their effectiveness in complex patients, such as premature neonates, and healthy individuals, successfully reducing leaks and skin sores.
The aim of the project is to demonstrate the utility of a 3D-printed, customised mask to improve the quality of ventilation, primarily by reducing leaks and mask-related obstructions in adult patients receiving home NIMV. Two usage periods of NIMV will be studied, one month with a personalized mask created through 3D printing (M3D) and another month with a commercial mask (MC). The primary variable under study will be the difference in leak levels between M3D and MC throughout the study month with each of them. Variables derived from respiratory polygraphy, performed with each mask, will also be included, in addition to the patient's experience.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| commercial mask | No Intervention | Noninvasive ventilation delivered through a conventional mask as usual care | |
| 3d printed mask | Experimental | The customized mask will be obtained by merging the scanned surface with the base mask design using CAD 3D SolidWorks software, also available in the unit. In patients with edentulism, leak areas will be evaluated without dental prostheses. 3D Printing Personalized oronasal masks will be manufactured following this procedure:
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 3d printed mask | Device |
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| Measure | Description | Time Frame |
|---|---|---|
| Modifications in leaks | Median daily leakage over the study month with each mask (MC and M3D), determined from the respirator log, extracted using ResScan® (Resmed®) software. | 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| Apnea Hypopnea Index | • Mean AHI over the study month with each mask, automatically recorded by the respirator software (ResScan®) for each mask period. IAH /AHI ranges from 0 to over 30 events per hour. A threshold of <10 is usually considered a sign of adequate ventilation. A minimal decrease of 20% will be considered clinically relevant | 1 month |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Laura Gonzalez Ramos | Contact | 913908492 | lauragramos@hotmail.es | |
| Javier Sayas | Contact | +34610989188 | javier.sayas@salud.madrid.org |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospital Universitarios 12 de Octubre | Recruiting | Madrid | Madrid | 28041 | Spain |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37048774 | Background | Lujan M, Florez P, Pomares X. What Circuits, Masks and Filters Should Be Used in Home Non-Invasive Mechanical Ventilation. J Clin Med. 2023 Apr 4;12(7):2692. doi: 10.3390/jcm12072692. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Nov 10, 2023 | Jan 9, 2024 | ICF_000.pdf |
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| ID | Term |
|---|---|
| C564641 | Pulmonary Disease, Chronic Obstructive, Severe Early-Onset |
| D007040 | Hypoventilation |
| D000690 | Amyotrophic Lateral Sclerosis |
| ID | Term |
|---|---|
| D012131 | Respiratory Insufficiency |
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |
| D012818 | Signs and Symptoms, Respiratory |
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Conceptual Hypothesis:
The use of personalized 3D-printed masks may reduce leaks, adverse effects in the form of skin lesions, and the percentage of upper airway obstructive events in two distinct populations: patients with ALS and patients with COPD requiring inspiratory pressures greater than 22 cmH2O.
Operational Hypothesis:
The automatic AHI and the median leaks over 1 month are lower when the patient uses the custom-fit 3D-printed mask (M3D) compared to when they use the commercial mask (MC) that was prescribed.
Statistical Hypothesis:
H0: There are no differences in the median leaks over 1 month (and AHI) between commercial masks (MC) and personalized 3D-printed masks (M3D).
H1: The median leaks are significantly lower during the month of using the personalized mask (M3D) than during the use of the commercial mask.
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| Comfort | • Patient comfort at the end of the one-month period with each mask (Likert scale). Likert scale ranges from Strongly uncomfortable to strongly comfortable | 1 month |
| Adherence | • Adherence measured by the mean device usage (hours of use/days of use) and total days of use in 1 month (T0 vs. T1). | 1 month |
| • Polygraphic variables | .1 Asynchrony Index | 1 month |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D013118 | Spinal Cord Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D016472 | Motor Neuron Disease |
| D019636 | Neurodegenerative Diseases |
| D057177 | TDP-43 Proteinopathies |
| D009468 | Neuromuscular Diseases |
| D057165 | Proteostasis Deficiencies |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |