Clinical Trial for the Evaluation of Customized 3D Printed NIV Nasal Masks in Premature Infants
NCT ID: NCT06224816
Last Updated: 2024-04-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
60 participants
INTERVENTIONAL
2024-04-16
2026-12-31
Brief Summary
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Premature will be randomised to start alternatively with MT or 3DM. Each patient included will be their own control at the same time, receiving each of the different mask models every 4 hours alternately. The study period will be a maximum of 7 days.
To compare the time in which preterm maintain SatO2 below 85% with the 3DM versus the traditional mask (TM) in preterm \< 1500 g. Other secondary objectives regarding ventilation enhancement will be assessed, such as the number of bradycardias, cardiorespiratory arrest and need for resuscitation in the context of apnea. Also, skin lesions of the nose resulting from the pressure applied by any of the masks (TM or 3DM) and the need for analgesia and/or sedation for pain control or discomfort will be assessed. Parental perception and satisfaction will be assessed.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
NONE
Study Groups
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3D Mask (3DM)
Custom 3D mask (3DM) application in neonate during 4 hours. Each patient included will be their own control at the same time, receiving each of the different mask models every 4 hours alternately. The study period will be a maximum of 7 days.
Custom 3D mask (3DM) application in neonate
Premature infants with a birth weight less than 1500 g r first received 3D mask during 4 hour, then crossed over to traditional mask.
Traditional mask (TM) application in neonate
Premature infants with a birth weight less than 1500 g r first received traditional mask during 4 hours, then crossed over to 3D mask.
Traditional Mask (TM)
Traditional Mask (TM) application in neonate during 4 hours. Each patient included will be their own control at the same time, receiving each of the different mask models every 4 hours alternately. The study period will be a maximum of 7 days.
Custom 3D mask (3DM) application in neonate
Premature infants with a birth weight less than 1500 g r first received 3D mask during 4 hour, then crossed over to traditional mask.
Traditional mask (TM) application in neonate
Premature infants with a birth weight less than 1500 g r first received traditional mask during 4 hours, then crossed over to 3D mask.
Interventions
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Custom 3D mask (3DM) application in neonate
Premature infants with a birth weight less than 1500 g r first received 3D mask during 4 hour, then crossed over to traditional mask.
Traditional mask (TM) application in neonate
Premature infants with a birth weight less than 1500 g r first received traditional mask during 4 hours, then crossed over to 3D mask.
Eligibility Criteria
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Inclusion Criteria
* Age: less than 30 days of life
* Required respiratory support with non-invasive ventilation (NIV)
* Premature infant has not been on NIV for more than 3 days before being included in the trial.
* Signature of the Informed Consent (IC)
Exclusion Criteria
* Cyanotic congenital heart disease diagnosis
* Presence of serious malformations
* Presence of airway malformations
0 Days
30 Days
ALL
No
Sponsors
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ISCIII
UNKNOWN
Hospital Universitario 12 de Octubre
OTHER
Responsible Party
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María Teresa Moral Pumarega
Associate Professor of Pediatrics at the Complutense University of Madrid (UCM)
Principal Investigators
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María Teresa Moral Pumarega
Role: PRINCIPAL_INVESTIGATOR
Hospital Universitario 12 de Octubre
Antonio Martín González, Mechanical Engineering
Role: STUDY_CHAIR
Hospital Universitario 12 de Octubre
Locations
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Hospital Universitario 12 de Octubre
Madrid, , Spain
Countries
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Central Contacts
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Facility Contacts
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References
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Al-Ramahi J, Luo H, Fang R, Chou A, Jiang J, Kille T. Development of an Innovative 3D Printed Rigid Bronchoscopy Training Model. Ann Otol Rhinol Laryngol. 2016 Dec;125(12):965-969. doi: 10.1177/0003489416667742. Epub 2016 Sep 7.
Zheng J, He H, Kuang W, Yuan W. Presurgical nasoalveolar molding with 3D printing for a patient with unilateral cleft lip, alveolus, and palate. Am J Orthod Dentofacial Orthop. 2019 Sep;156(3):412-419. doi: 10.1016/j.ajodo.2018.04.031.
Hadeed K, Dulac Y, Acar P. Three-dimensional printing of a complex CHD to plan surgical repair. Cardiol Young. 2016 Oct;26(7):1432-4. doi: 10.1017/S1047951116000755. Epub 2016 Jun 20.
Xu JJ, Luo YJ, Wang JH, Xu WZ, Shi Z, Fu JZ, Shu Q. Patient-specific three-dimensional printed heart models benefit preoperative planning for complex congenital heart disease. World J Pediatr. 2019 Jun;15(3):246-254. doi: 10.1007/s12519-019-00228-4. Epub 2019 Feb 22.
Zhao H, Lin G, Seong YH, Shi J, Xu J, Huang W. Anthropometric research of congenital auricular deformities for newborns. J Matern Fetal Neonatal Med. 2019 Apr;32(7):1176-1183. doi: 10.1080/14767058.2017.1402877. Epub 2017 Dec 8.
Minocchieri S, Burren JM, Bachmann MA, Stern G, Wildhaber J, Buob S, Schindel R, Kraemer R, Frey UP, Nelle M. Development of the premature infant nose throat-model (PrINT-Model): an upper airway replica of a premature neonate for the study of aerosol delivery. Pediatr Res. 2008 Aug;64(2):141-6. doi: 10.1203/PDR.0b013e318175dcfa.
Saugstad OD, Aune D. Optimal oxygenation of extremely low birth weight infants: a meta-analysis and systematic review of the oxygen saturation target studies. Neonatology. 2014;105(1):55-63. doi: 10.1159/000356561. Epub 2013 Nov 15.
Stenson BJ. Oxygen targets for preterm infants. Neonatology. 2013;103(4):341-5. doi: 10.1159/000349936. Epub 2013 May 31.
Bose CL, Dammann CE, Laughon MM. Bronchopulmonary dysplasia and inflammatory biomarkers in the premature neonate. Arch Dis Child Fetal Neonatal Ed. 2008 Nov;93(6):F455-61. doi: 10.1136/adc.2007.121327. Epub 2008 Aug 1.
Sweet DG, Carnielli V, Greisen G, Hallman M, Ozek E, Te Pas A, Plavka R, Roehr CC, Saugstad OD, Simeoni U, Speer CP, Vento M, Visser GHA, Halliday HL. European Consensus Guidelines on the Management of Respiratory Distress Syndrome - 2019 Update. Neonatology. 2019;115(4):432-450. doi: 10.1159/000499361. Epub 2019 Apr 11.
Sweet DG, Carnielli VP, Greisen G, Hallman M, Klebermass-Schrehof K, Ozek E, Te Pas A, Plavka R, Roehr CC, Saugstad OD, Simeoni U, Speer CP, Vento M, Visser GHA, Halliday HL. European Consensus Guidelines on the Management of Respiratory Distress Syndrome: 2022 Update. Neonatology. 2023;120(1):3-23. doi: 10.1159/000528914. Epub 2023 Feb 15.
Roh S, Parekh DP, Bharti B, Stoyanov SD, Velev OD. 3D Printing by Multiphase Silicone/Water Capillary Inks. Adv Mater. 2017 Aug;29(30). doi: 10.1002/adma.201701554. Epub 2017 Jun 7.
Hinton TJ, Hudson A, Pusch K, Lee A, Feinberg AW. 3D Printing PDMS Elastomer in a Hydrophilic Support Bath via Freeform Reversible Embedding. ACS Biomater Sci Eng. 2016 Oct 10;2(10):1781-1786. doi: 10.1021/acsbiomaterials.6b00170. Epub 2016 May 4.
Bhattacharjee N, Parra-Cabrera C, Kim YT, Kuo AP, Folch A. Desktop-Stereolithography 3D-Printing of a Poly(dimethylsiloxane)-Based Material with Sylgard-184 Properties. Adv Mater. 2018 May;30(22):e1800001. doi: 10.1002/adma.201800001. Epub 2018 Apr 14.
Clarke A, Yeomans E, Elsayed K, Medhurst A, Berger P, Skuza E, Tan K. A randomised crossover trial of clinical algorithm for oxygen saturation targeting in preterm infants with frequent desaturation episodes. Neonatology. 2015;107(2):130-6. doi: 10.1159/000368295. Epub 2014 Dec 12.
Duong K, Glover J, Perry AC, Olmstead D, Ungrin M, Colarusso P, MacLean JE, Martin AR. Feasibility of three-dimensional facial imaging and printing for producing customised nasal masks for continuous positive airway pressure. ERJ Open Res. 2021 Feb 1;7(1):00632-2020. doi: 10.1183/23120541.00632-2020. eCollection 2021 Jan.
Kamath AA, Kamath MJ, Ekici S, Stans AS, Colby CE, Matsumoto JM, Wylam ME. Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning. 3D Print Med. 2022 Aug 1;8(1):23. doi: 10.1186/s41205-022-00155-7.
Other Identifiers
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M3DPREMAT
Identifier Type: -
Identifier Source: org_study_id
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