ClinicalTrials.Veeva

Menu

ROX Index and ROX Vector to Predict Nasal High Flow / Continuous Positive Airway Pressure Failure in Neonates

E

Erebouni Medical Center

Status

Unknown

Conditions

Predictive Value of Tests

Treatments

Other: Continuous Positive Airway Pressure
Other: Nasal high flow

Study type

Observational

Funder types

Other
Industry

Identifiers

NCT05036161
N 6-2/2, 2020

Details and patient eligibility

About

Nasal continuous positive airway pressure (CPAP) and Nasal High Flow (NHF) therapy are two primary therapies for the treatment of respiratory distress in newborns. However, a considerable number of infants, who are initially treated with CPAP and NHF, will develop worsening respiratory failure and eventually require intubation for mechanical ventilation and the administration of surfactant. Infants who fail noninvasive respiratory therapy may suffer the consequences of delayed intubation, surfactant administration and other adverse outcomes. The most challenging decisions in the management of respiratory distress after birth is to decide when to move from a noninvasive respiratory support to invasive mechanical ventilation and give surfactant to decrease pulmonary damage and improve outcomes. There are no clinically adequate predictors of early CPAP failure at the time of admission to the neonatal intensive care unit. Many measurements have been investigated for their ability to predict CPAP failure in infants such as fraction of inspired oxygen (FiO2), partial pressure of oxygen (PaO2), PaO2/FiO2 and the stable micro bubble test as soon as possible after birth. Roca and colleagues first established the ROX index to predict the success of NHF therapy in adults with pneumonia. The ROX index combines three common measurements: FiO2, peripheral oxygen saturation (SpO2) and respiratory rate. Combining the ROX values with the change in the respiratory rate and FiO2 can indicate whether escalation is required. It was proposed that XY plot of the key components of ROX may show the direction of changes in vector form.

The investigators hypothesized that the ROX index and ROX vector can be used for predicting the failure of CPAP and NHF in neonates.

Full description

The objective is to explore the usefulness of ROX index to predict treatment failure of NHF and CPAP therapies in neonates.

The primary outcome is treatment failure within 72 h after start of the therapy with NHF or CPAP

Treatment failure criteria is reached once an infant is receiving maximal therapy for their treatment (NHF 8 L/min) or CPAP 7 cm H2O plus at least one of:

  1. Sustained increase in oxygen requirement ≥50% to maintain peripheral oxygen saturation (SpO2) 90%-94%.
  2. Any infant requiring urgent intubation and the subsequent mechanical ventilation, as determined by the physician.

Enrollment

100 estimated patients

Sex

All

Ages

Under 24 hours old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • They are admitted to a NICU when <24 h old, AND
  • The decision has been made by the attending clinician, to commence or continue (from stabilization at birth) non-invasive respiratory support (this does not include the provision of supplemental oxygen alone), AND
  • They have not previously been intubated or received surfactant

Exclusion criteria

  • They immediately require intubation and ventilation (determined by attending clinician), OR
  • They already satisfy 'treatment failure' criteria, OR
  • They have a known major congenital anomaly or air leak

Trial design

100 participants in 2 patient groups

Predicting treatment failure of Nasal High Flow in newborns
Description:
newborns with respiratory distress treated with NHF
Treatment:
Other: Nasal high flow
Predicting treatment failure of Continuous Positive Airway Pressure in newborns
Description:
newborns with respiratory distress treated with CPAP
Treatment:
Other: Continuous Positive Airway Pressure

Trial contacts and locations

3

Loading...

Central trial contact

Pavel Mazmanyan, Prof; Ella Mirzoyan, MD

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2025 Veeva Systems