Hospital del Mar
Barcelona, Spain, 08003
NCT Number: NCT06695442
The aim of this prospective observational cohort study is to develop a predictive model for high-flow nasal cannula (HFNC) failure in patients with acute hypoxemic respiratory failure (AHRF) caused by SARS-CoV-2. By combining clinical data and metabolomic profiles, the study seeks to answer:
- Can integrating clinical parameters with metabolomic markers enhance the prediction of HFNC failure in AHRF patients?
Participants with AHRF due to SARS-CoV-2 receiving HFNC under standard-of-care protocols will be monitored until hospital discharge or death. Blood samples for metabolomic analysis will be collected at inclusion.
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All sexes
Observational
Barcelona, Spain, 08003
This prospective observational cohort study focuses on developing and validating a predictive model for HFNC failure in patients with SARS-CoV-2-related AHRF, combining clinical parameters and metabolomic profiling. Patients received standard-of-care therapy based on hospital protocols, with clinical data and plasma samples collected at inclusion (T0) for laboratory and metabolomic analyses.
The study consists of two cohorts: a Training Cohort (March 2020 to April 2021) for model development and a Validation Cohort (May 2021 to October 2021) for model validation and external testing. HFNC outcomes were classified as success or failure, with failure defined as requiring orotracheal intubation (OTI). Advanced machine-learning techniques were employed for feature selection and model optimization, targeting precise integration of clinical and metabolomic data.
This model seeks to enhance early identification of HFNC failure risk, enabling timely interventions and personalized management in critically ill AHRF patients.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: From the initiation of HFNC until the need for intubation, hospital discharge, or death, whichever occurs first (up to 28 days). Completed using the Training Cohort (March 2020 to April 2021).
Area Under the Receiver Operating Characteristic Curve (AUC) of the final predictive model for identifying HFNC failure, measured at the time of study inclusion (T0).
Time frame: At study inclusion (T0).
Concentrations of key metabolomic markers (e.g., anthranilic acid, octanoic acid) associated with HFNC failure, measured at T0.
Time frame: From the initiation of HFNC until the need for intubation, hospital discharge, or death, whichever occurs first (up to 28 days). Completed during the Validation Cohort phase (May to October 2021).
Performance of the predictive model in the Validation Cohort. Area Under the Receiver Operating Characteristic Curve (AUC) of the final predictive model for identifying HFNC failure, measured at the time of study inclusion (T0).
Hospital del Mar Research Institute (IMIM)
Other
Predictive Model for High-Flow Nasal Cannula Failure Based on Metabolomics and Clinical Data: COVID-19 As a Use Case
Acronym: COVIDOMICS
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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.
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