- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07289711
Validation and Precision Treatment of Inflammatory Subphenotypes in Acute Respiratory Distress Syndrome: A Multicenter Cohort Study (VATIC)
December 29, 2025 updated by: Ling Liu, Southeast University, China
Acute respiratory distress syndrome (ARDS) is a common and life-threatening condition in intensive care units, characterized by substantial biological and clinical heterogeneity.
Differences in patients' inflammatory responses, baseline immune function, and organ failure patterns contribute to variability in ARDS severity, treatment response, and clinical outcomes.
Precision classification of ARDS based on biological and inflammatory characteristics may therefore be essential for improving patient outcomes.
Previous analyses of randomized clinical trials have identified two reproducible inflammatory subphenotypes-"hyperinflammatory" and "hypoinflammatory"-which differ in organ dysfunction profiles, clinical trajectories, and responses to treatments such as fluid management strategies, corticosteroids, and ventilatory interventions.
However, key uncertainties remain, including whether these inflammatory subphenotypes can be validated in Chinese ARDS populations, how various bedside prediction models perform in identifying these subphenotypes, and whether model-based subphenotype identification can guide individualized treatment decisions.
This multicenter cohort study aims to: (1) validate inflammatory subphenotypes of ARDS using latent class analysis; (2) compare the predictive performance of existing bedside models for subphenotype identification; and (3) assess whether subphenotype assignment based on prediction models can guide individualized treatment strategies, including fluid management, PEEP titration, and corticosteroid use.
In addition to these primary aims, the study may include other exploratory objectives, such as evaluating subphenotype stability over time, characterizing biological pathways associated with subphenotypes, and assessing additional treatment-response patterns to support future precision ARDS management strategies.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
500
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Hui Chen, MD
- Phone Number: +8618006138640
- Email: huichen.icu@gmail.com
Study Locations
-
-
Jiangsu
-
Nanjing, Jiangsu, China, 210009
- Recruiting
- Zhongda Hospital, School of Medicine, Southeast University
-
Contact:
- Hui Chen
- Phone Number: +86-18006138640
- Email: 15905162429@163.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Patients with ARDS
Description
Inclusion Criteria:
- Age ≥ 18 years.
- ARDS requiring invasive mechanical ventilation, diagnosed according to the 2023 Global definition.
- Onset of ARDS within 72 hours.
Exclusion Criteria:
- Refusal of informed consent by the patient's legally authorized representative.
- Patients expected to die within 24 hours
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
ARDS patients with hyperinflammatory phenotype
|
ARDS patients with idfferent Inflammatory Subphenotypes
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
28-day mortality
Time Frame: From inclusion to 28 days
|
The proportion of patients who are died within 28 days
|
From inclusion to 28 days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Ventilator-free days at 28 days
Time Frame: From inclusion to 28 days
|
Days alive without endotracheal intubation and invasive mechanical ventilation
|
From inclusion to 28 days
|
|
60-day mortality
Time Frame: From inclusion to 60 days
|
The proportion of patients who are died within 60 days
|
From inclusion to 60 days
|
|
Vasopressor-free days at 28 days
Time Frame: From inclusion to 28 days
|
Days alive without use of vasopressor
|
From inclusion to 28 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 29, 2025
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2026
Study Registration Dates
First Submitted
December 4, 2025
First Submitted That Met QC Criteria
December 4, 2025
First Posted (Estimated)
December 17, 2025
Study Record Updates
Last Update Posted (Estimated)
January 2, 2026
Last Update Submitted That Met QC Criteria
December 29, 2025
Last Verified
December 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- Subphenotype Of ARDS
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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.
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