Non-invasive Ventilation

NCT ID: NCT07186790

Last Updated: 2025-09-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

160 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-10-01

Study Completion Date

2025-10-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Risk factors for non invasive ventilation failure in preterms that lead them to use invasive ventilation

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Non-invasive ventilation (NIV) is widely utilized in the initial respiratory management of very low birth weight (VLBW) preterms , particularly those born at a gestational age of less than 32 weeks, to avoid complications associated with invasive mechanical ventilation. Despite advances in neonatal respiratory care, the risk of initial NIV failure remains a significant clinical concern due to its association with increased morbidity and the subsequent need for intubation and invasive support. Early identification of neonates at high risk for NIV failure is crucial for timely intervention and optimization of respiratory strategies to improve outcomes (Wu et al., 2024).

Previous multicenter and prospective studies have highlighted various clinical and physiological parameters contributing to the failure of NIV in preterms. These include lower gestational age, severe respiratory distress syndrome (RDS), higher oxygen requirements, and hemodynamic instability in the immediate postnatal period (Boix et al., 2023). The complexity of respiratory adaptation in this population necessitates robust risk stratification tools and predictive models to support clinical decision-making in the neonatal intensive care unit (NICU) (Fernandez-Gonzalez et al., 2022).

Recent research efforts, including the establishment of predictive models, have focused on incorporating variables such as Apgar scores, initial FiO₂, surfactant administration, and radiographic findings to identify preterms most likely to fail NIV. Understanding these risk factors is essential not only for improving survival but also for reducing the incidence of bronchopulmonary dysplasia (BPD) and other long-term pulmonary complications (Shen et al., 2024).

Furthermore, expert consensus guidelines from neonatology societies advocate for early use of continuous positive airway pressure (CPAP) and targeted surfactant therapy to mitigate the progression of RDS and enhance NIV success. However, despite adherence to best practices, a considerable proportion of VLBW preterms still experience respiratory deterioration necessitating escalation to invasive ventilation (Akin et al., 2025).

Emerging data also point to institution-specific practices, such as type of NIV modality used (e.g., nasal intermittent positive pressure ventilation vs. high-frequency oscillatory NIV) (Wang et al., 2025).

Given the significant clinical implications, understanding and applying these risk factors can help neonatal teams anticipate NIV failure early, apply targeted respiratory strategies, and improve short- and long-term outcomes in preterms (Afzal et al., 2024; de Souza Júnior et al., 2023; Yazici et al., 2025).

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Non Invasive Ventilation Failure in Preterms

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

\-

The study will include neonates who meet all of the following criteria:

1. Preterms born at a gestational age of less than 32 weeks.
2. Birth weight less than 1,500 grams (very low birth weight).
3. Received initial non-invasive ventilation (e.g., CPAP or HFNC) within the first hours of life.
4. Admitted to participating NICUs during the study period.
5. Complete medical records available for review and analysis.

Exclusion Criteria

\-

Preterms will be excluded from the study if they meet any of the following conditions:

1. Received immediate invasive mechanical ventilation at birth without a trial of non-invasive ventilation.
2. Presence of major congenital anomalies (e.g., congenital diaphragmatic hernia, significant cardiac malformations).
3. Diagnosed with chromosomal abnormalities or genetic syndromes.
4. Incomplete or missing medical records that prevent accurate data extraction.
5. Preterms transferred from another hospital after initiation of respiratory support.
Minimum Eligible Age

1 Day

Maximum Eligible Age

28 Days

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Assiut University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Sara mohamed hadia mohamed

Principal investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Sara Mohamed Hadia, Principal investigator

Role: CONTACT

+201030372978

References

Explore related publications, articles, or registry entries linked to this study.

Bastos de Souza Junior NW, Rosa TR, Cerantola JCK, Ferrari LSL, Probst VS, Felcar JM. Predictive factors for extubation success in very low and extremely low birth weight preterm infants. Can J Respir Ther. 2023 Sep 15;59:204-213. doi: 10.29390/001c.87789. eCollection 2023.

Reference Type BACKGROUND
PMID: 37781349 (View on PubMed)

Fernandez-Gonzalez SM, Sucasas Alonso A, Ogando Martinez A, Avila-Alvarez A. Incidence, Predictors and Outcomes of Noninvasive Ventilation Failure in Very Preterm Infants. Children (Basel). 2022 Mar 17;9(3):426. doi: 10.3390/children9030426.

Reference Type BACKGROUND
PMID: 35327798 (View on PubMed)

Yazici A, Buyuktiryaki M, Sari FN, Alyamac Dizdar E. Risk factors for noninvasive ventilation failure in preterm infants at less than 30 weeks of gestation with respiratory distress syndrome. J Trop Pediatr. 2024 Dec 5;71(1):fmae051. doi: 10.1093/tropej/fmae051.

Reference Type BACKGROUND
PMID: 39840596 (View on PubMed)

Wang W, Tan R, Dong W. Non-invasive intermittent positive pressure ventilation vs non-invasive high-frequency oscillatory ventilation as post-extubation support in extremely birth weight infants: a retrospective study. Eur J Pediatr. 2025 Apr 21;184(5):303. doi: 10.1007/s00431-025-06117-5.

Reference Type BACKGROUND
PMID: 40257605 (View on PubMed)

Shen F, Yu MY, Rong H, Guo Y, Zou YS, Cheng R, Yang Y. Establishment and Validation of a Risk Prediction Model for Non-Invasive Ventilation Failure After Birth in Premature Infants with Gestational Age < 32 Weeks. Lung. 2024 Oct;202(5):543-552. doi: 10.1007/s00408-024-00727-w. Epub 2024 Jul 3.

Reference Type BACKGROUND
PMID: 38958717 (View on PubMed)

Akin MS, Sari FN, Cetinkaya AK, Acikgoz IC, Dizdar EA. The Predictors and Outcomes of Early Noninvasive Positive Pressure Ventilation Failure in Very Preterm Infants: A Prospective Study. Am J Perinatol. 2025 Jun 16. doi: 10.1055/a-2624-5642. Online ahead of print.

Reference Type BACKGROUND
PMID: 40523391 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

Non invasive ventilation

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.