Skip to main content
OpenTrials
Completed

NCT Number: NCT07366541

Predicting High-Flow Nasal Oxygen Failure at 30 Minutes Using a Physiology-Informed Dual-Domain Model

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.

Completed

Looking for future studies?

Notify Me

Key information

Age range

18 year–90 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Department of Critical Care Medicine,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine

Shanghai, Shanghai Municipality, 200025, China

About this study

Detailed Description

This was a single-center, prospective, two-stage translational study conducted at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. The study comprised three integrated components:

  • Physiological validation cohort (n = 24) Mechanically ventilated patients with acute respiratory distress syndrome (ARDS) receiving pressure support ventilation underwent simultaneous electrical impedance tomography (EIT) and esophageal pressure monitoring. Measurements were performed at three sequentially adjusted pressure support levels: baseline clinical setting (PSbase), maximal tolerated level (PSmax), and minimal level (PSmin). The EIT-derived Flow Index (EFI) was calculated from the global impedance-time signal. Relationships between EFI and esophageal pressure swing (ΔPes) as well as pressure-time product per minute (PTP/min) were assessed using regression analysis. Changes in EFI across pressure support levels were evaluated by repeated within-subject comparisons.
  • Clinical derivation cohort (n = 57) High-risk adult patients with acute hypoxemic respiratory failure (AHRF) initiated on high-flow nasal oxygen (HFNO) were prospectively enrolled between May 2025 and September 2025. Inclusion required at least one of the following high-risk criteria: PaO₂/FiO₂ ≤ 200 mmHg or FiO₂ ≥ 0.40 to maintain SpO₂ ≥ 92%; respiratory rate ≥ 25 breaths/min; APACHE II score ≥ 12; or bilateral infiltrates on chest imaging. EIT and bedside variables (heart rate, respiratory rate, arterial blood gases, ROX index) were recorded at baseline (HFNO initiation) and at 30 minutes. HFNO failure was defined a priori as clinically meaningful escalation to noninvasive ventilation (NIV) or endotracheal intubation due to sustained hypoxemia, progressive respiratory acidosis, respiratory muscle fatigue, or hemodynamic instability. Within-tier adjustments (increasing flow or FiO₂ without changing support modality) were not considered failure.

Patient-level analyses were performed to identify two prespecified domains of early HFNO failure:

Persistent abnormality (physiological burden that remained abnormal after accounting for baseline): evaluated by analysis of covariance (ANCOVA) for 30-minute variables adjusted for baseline values.

Divergent short-term response trajectory (different evolution between success and failure groups): evaluated by generalized estimating equations (GEE) with time-by-group interactions across baseline and 30 minutes.

A multivariable logistic regression model was constructed in the derivation cohort incorporating baseline PaCO₂, 30-minute EFI, ΔRR (change in respiratory rate), and ΔSpO₂ (change in peripheral oxygen saturation). An exploratory reference model using ΔPaO₂ instead of ΔSpO₂ was also evaluated.

  • Prospective validation cohort (n = 58) An independent, temporally separate cohort of patients meeting the same inclusion/exclusion criteria was enrolled between October 2025 and March 2026 (after completion of the derivation cohort). The identical 30-minute reassessment protocol was applied. The prespecified logistic regression equation from the derivation cohort was applied directly without coefficient refitting. Discriminatory performance of the dual-domain model (baseline PaCO₂ + 30-min EFI + ΔRR + ΔSpO₂) was evaluated using area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity.

Total enrollment: 164 participants (24 physiological validation + 115 clinical HFNO participants [derivation 57 + validation 58] + 25 screened but excluded as detailed in the study flow diagram).

The study was approved by the Ruijin Hospital Ethics Committee (Reference Nos. [2025]30 and [2025]232). All participants provided written informed consent.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

(must meet all):

  • Age ≥18 years
  • Acute hypoxemic respiratory failure (AHRF) requiring HFNO initiation
  • At least one of the following high-risk criteria: a) PaO₂/FiO₂ ≤200 mmHg or FiO₂ ≥0.40 to maintain SpO₂ ≥92%; b) Respiratory rate ≥25/min; c) APACHE II score ≥12; d) Bilateral infiltrates on chest imaging

Exclusion criteria

  • Neuromuscular disease affecting spontaneous breathing
  • Pregnancy
  • Contraindication to EIT (e.g., chest wall wounds, pacemaker)
  • Do-not-intubate order
  • Hypercapnic respiratory failure as primary diagnosis (PaCO₂ >50 mmHg with pH <7.30 at baseline, unless mixed mechanism)

Treatment and study plan

Mechanical Ventilation Support

Device

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

Device

PulmoVista 500 EIT device (Dräger Medical, Lübeck, Germany) was used for continuous real-time monitoring of regional lung ventilation.

High-Flow Nasal Oxygen Therapy

Other

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

Device

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.

Primary outcomes

  1. HFNC Failure Rate(Early Reassessment at 30 Minutes)

    Time frame: within 30 minutes after HFNO initiation (with monitoring of outcomes up to hospital discharge)

    HFNO failure was defined as escalation to noninvasive ventilation (NIV) or endotracheal intubation due to refractory hypoxemia, progressive respiratory acidosis, severe respiratory distress, or hemodynamic instability. Within-tier adjustments (increasing flow or FiO₂ without changing support modality) were NOT considered failure.

Secondary outcomes

  1. Physiological Validation of EFI

    Time frame: During physiological measurements in mechanically ventilated patients (performed before the clinical HFNO cohort; within 48 hours of ICU admission)

    EFI was compared with esophageal pressure swing (ΔPes) and pressure-time product per minute (PTP/min) across pressure support levels using regression analysis and repeated within-subject comparisons.Unit of Measure No unit for R² (dimensionless ratio); Arbitrary units (a.u.) for EFI; cm H₂O for ΔPes; cm H₂O·s/min for PTP/min.

  2. Persistent Abnormality at 30 Minutes

    Time frame: within 30 minutes after HFNO initiation

    ANCOVA-adjusted 30-minute values of EFI, PaCO₂, heart rate, respiratory rate, pH, PaO₂ were compared between HFNO success and failure groups to identify persistent physiological burden.Unit of Measure EFI: arbitrary units (a.u.); PaCO₂ and PaO₂: mmHg; Heart rate: beats/min; Respiratory rate: breaths/min; pH: dimensionless (pH units);

  3. Divergent Short-Term Response Trajectories

    Time frame: Baseline to 30 minutes after HFNO initiation

    Generalized estimating equations (GEE) evaluated time-by-group interactions for EFI, respiratory rate, PaO₂, PaCO₂, pH, heart rate, ROX, to identify divergent early response trajectories.Measure of Central Tendency / Measure of Dispersion Time-by-group interaction P values; Estimated marginal means at baseline and 30 minutes for each group; Within-patient change scores (Δ values) between the two time points for each variable Unit of Measure EFI: arbitrary units (a.u.); Heart rate: beats/min; Respiratory rate: breaths/min; pH: dimensionless (pH units); PaCO₂ and PaO₂: mm Hg; ROX: dimensionless index.

Sponsors and collaborators

Lead sponsor

Ruijin Hospital

Other

Registry information

Acronym: EFI-HFNO

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Jan 26, 2026
Registry last updated
Jun 17, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.