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Predicting High-Flow Nasal Oxygen Failure at 30 Minutes Using a Physiology-Informed Dual-Domain Model
Sponsor: Ruijin Hospital
Summary
This prospective, single-center, two-stage translational study develops and validates a physiology-informed dual-domain model for ultra-early (30-minute) prediction of high-flow nasal oxygen (HFNO) failure in patients with acute hypoxemic respiratory failure. The study includes a physiological validation cohort (n=24) to anchor the EIT-derived Flow Index (EFI) as a marker of inspiratory effort, followed by a temporally separated clinical derivation cohort (n=57) and independent validation cohort (n=58). Candidate predictors are screened from 1,328 clinical features. The final dual-domain model integrates persistent physiological burden (baseline PaCO₂ and 30-minute EFI) with short-term dynamic adaptation (ΔRR and ΔSpO₂ over 30 minutes). The model's discrimination is tested prospectively without refitting.
Key Details
Gender
All
Age Range
18 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
164
Start Date
2025-05-01
Completion Date
2026-03-31
Last Updated
2026-06-17
Healthy Volunteers
No
Conditions
Interventions
Mechanical Ventilation Support
Patients received pressure support ventilation at three sequentially adjusted levels (PSmin, PSbase, PSmax). Breathing parameters were continuously monitored using an electrical impedance tomography (EIT) device, and inspiratory effort was invasively measured via an esophageal pressure catheter.
Electrical Impedance Tomography Monitoring
PulmoVista 500 EIT device (Dräger Medical, Lübeck, Germany) was used for continuous real-time monitoring of regional lung ventilation.
High-Flow Nasal Oxygen Therapy
Patients received HFNO as part of standard clinical care for acute hypoxemic respiratory failure. The treatment was titrated by the clinical team based on physiological parameters (SpO₂, RR, ABG), aiming to maintain SpO₂ ≥ 92% and reduce signs of respiratory distress.
High-Flow Nasal Oxygen Therapy With EIT Monitoring
Patients received standard-of-care HFNO for AHRF. Additionally, a PulmoVista 500 EIT device was used to monitor lung ventilation and derive the EFI at baseline and 30 minutes.
Locations (1)
Department of Critical Care Medicine，Ruijin Hospital，Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, China