- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06695442
Predictive Model for High-Flow Nasal Cannula Failure in COVID-19-related Acute Hypoxemic Respiratory Failure Based on Metabolomics and Clinical Data (COVIDOMICS)
Predictive Model for High-Flow Nasal Cannula Failure Based on Metabolomics and Clinical Data: COVID-19 As a Use Case
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.
Study Overview
Status
Conditions
Detailed Description
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.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
-
Barcelona, Spain, 08003
- Hospital del Mar
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult patients (≥18 years old) with acute hypoxemic respiratory failure (AHRF) confirmed as secondary to SARS-CoV-2 infection via PCR testing.
- Requirement for high-flow nasal cannula (HFNC) initiated within 48 hours of hospital admission.
Exclusion Criteria:
- Patients under the age of 18
- Patients with active "do not resuscitate" (DNR) orders at the time of inclusion.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Training Cohort
Participants included from March 2020 to April 2021 for model development.
|
|
Validation Cohort
Participants included from May 2021 to October 2021 for model validation.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Predictive Model Development
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).
|
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).
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Identification of Key Metabolites
Time Frame: At study inclusion (T0).
|
Concentrations of key metabolomic markers (e.g., anthranilic acid, octanoic acid) associated with HFNC failure, measured at T0.
|
At study inclusion (T0).
|
|
Validation of the Predictive Model
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).
|
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).
|
Collaborators and Investigators
Investigators
- Principal Investigator: Óscar J Pozo, PhD, Hospital del Mar Research Institute
- Principal Investigator: Joan Ramon Masclans Enviz, MD, PhD, Hospital del Mar
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2022/10308/I
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on COVID 19
-
PfizerActive, not recruitingCOVID-19 | Coronavirus Disease 2019 (COVID-19) | COVID-19 Infection | COVID-19 Vaccines | SARS-CoV-2 Infection, COVID19 | COVID-19 Vaccination | SARS-CoV-2 Infection, COVID-19 | COVID-19 (Coronavirus Disease 2019) | COVID-19 SARS-CoV-2 InfectionUnited States
-
Shanghai Public Health Clinical CenterNot yet recruiting
-
Duke UniversityNational Institute on Minority Health and Health Disparities (NIMHD)Completed
-
Eggensberger OHGBavarian Health and Food Safety Authority (LGL)RecruitingPost COVID-19 Condition | Post COVID-19 | Post COVID-19 Syndrome | Long COVID-19 Syndrome | Post COVID-19 Condition (PCC)Germany
-
PfizerRecruitingRespiratory Tract Diseases | COVID-19 | Pneumonia | Lung Diseases | Coronavirus Disease 2019 | Coronavirus Disease 2019 (COVID-19) | COVID-19 Infection | Upper Respiratory Tract Infections | Respiratory Tract Infection | COVID-19 (Coronavirus Disease 2019) | COVID-19 SARS-CoV-2 InfectionBelgium
-
ModeX Therapeutics, An OPKO Health CompanyRecruitingCOVID -19 | COVID-19 (Prevention)United States
-
Lawson Research Institute of St. Joseph'sCanadian Institutes of Health Research (CIHR); Western University, CanadaRecruitingFatigue | Post-COVID-19 Syndrome | Post COVID-19 Condition | Post-COVID Syndrome | Long COVID-19 | Long-COVID | Post-COVID ConditionCanada
-
University of Roma La SapienzaQueen Mary University of London; Università degli studi di Roma Foro Italico; Bios Prevention SrlCompletedPost Acute Sequelae of COVID-19 | Post COVID-19 Condition | Long-COVID | Chronic COVID-19 SyndromeItaly
-
Yang I. PachankisActive, not recruitingCOVID-19 Respiratory Infection | COVID-19 Stress Syndrome | COVID-19 Vaccine Adverse Reaction | COVID-19-Associated Thromboembolism | COVID-19 Post-Intensive Care Syndrome | COVID-19-Associated StrokeChina
-
University of Missouri, Kansas CityNational Institute on Minority Health and Health Disparities (NIMHD)Active, not recruitingCOVID-19 Testing BehaviorsUnited States