Evaluating Artificial Intelligence-Based Clinical Decision Support for Sepsis and ARDS
NCT07025096
Acute Respiratory Distress Syndrome (ARDS), Infections
Philadelphia, Pennsylvania, United States
View Trial DetailsNCT Number: NCT06779942
This study will look at a protein called Interleukin (IL)-17A and how it relates to health markers in patients with a serious lung condition known as Acute Respiratory Distress Syndrome (ARDS). IL-17A is part of the immune system and helps the body fight infections, but too much of it can lead to inflammation, which can be harmful.
The researchers want to find out if the levels of IL-17A in the blood are connected to important health outcomes for patients, such as whether they survive in the Intensive Care Unit (ICU), after 30 days, and after 60 days. They will also check how long patients can stay off a ventilator and how many days they need to use a mechanical ventilator. A ventilator is a machine that helps people breathe when their lungs are not working well.
In addition to the main goal, the researchers will study how IL-17A relates to a severe form of ARDS called the hyperinflammatory sub-phenotype. They will also look at how IL-17A connects with other health markers, including IL-6, soluble tumor necrosis factor receptor (sTNFR), IL8, Tumor Necrosis Factor (TNF)a, IL1beta, and IL23. These markers can give information about inflammation and how the body is responding to illness.
To compare results, the researchers will include a control group of patients who had Acute Respiratory Failure (ARF) but did not have ARDS. This control group will help them understand the differences between the two conditions.
This research will use data from the FROG-ICU Registry, which gathers information on patients in intensive care units across Europe. The registry tracks patients' health after they leave the ICU, focusing on the risk factors for death in the year following their discharge. The data comes from 28 different ICUs in 19 hospitals.
The researchers will create two groups of patients based on their diagnoses: one group with ARDS and another with ARF. By studying these groups, they hope to learn more about the role of IL-17A in ARDS and its potential impact on patient outcomes.
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Notify Me18 year and older
All sexes
Observational
Hôpital Saint Louis, Paris, France
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
o Diagnosis of ARDS at the time of study inclusion and within 24-48 hours of bio sample collection
Exclusion criteria
o Patients with ARF who later develop ARDS after the 24-48 hour bio sample draw time period will be excluded as they will not have had baseline bio samples drawn in relation to onset of ARDS.
Time frame: Baseline to ICU discharge (at least 24h) or death
Evaluate the association between Interleukin (IL)-17A level and mortality at the Intensive Care Unit (ICU) in patients with ARDS
Time frame: Baseline to 30 days after ICU admission or death
Evaluate the association between IL-17A level and 30 Day mortality in patients with ARDS
Time frame: Baseline to 60 days after ICU admission or death
Evaluate the association between IL-17A level and 60 Day mortality in patients with ARDS
Time frame: From baseline to ICU discharge, but at least for 24 hrs
Evaluate the association between IL-17A level and ventilator free survival in patients with ARDS
Time frame: From baseline to ICU discharge, but at least for 24 hrs
Evaluate the association between IL-17A level and days on mechanical ventilator in patients with ARDS
Time frame: From baseline to ICU discharge, but at least for 24 hrs
Evaluate the association between IL-17A and hyperinflammatory sub-phenotype of ARDS
Time frame: From baseline to ICU discharge, but at least for 24 hrs
Evaluate the correlation between IL-17A and multiple biomarkers including IL-6, sTNFR, IL8, Tumour Necrosis Factor (TNF)a, IL1beta, IL23 in patients with ARDS
Time frame: From baseline to ICU discharge, but at least for 24 hrs
Compare these associations with the association with these biomarkers in hypo-inflammatory phenotype of ARDS
Time frame: From baseline to ICU discharge, but at least for 24 hrs
Compare these associations with the association with these biomarkers in the hyper and hypo-inflammatory phenotypes of Acute Respiratory Failure (ARF)
Bayer
Industry
FROG-ARDS: Correlation of IL-17A to Hyperinflammatory Biomarkers, Sub-phenotype, and Clinical Outcomes in Patients With Acute Respiratory Distress Syndrome in the FROG ICU Dataset
Acronym: FROG-ARDS
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.
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