Bedside molecular typing for adult ARDS
Official title: Clinical Implementation of Molecular Phenotypes of Critical Illness
Funded at Washington University · NIH-11266195 · Data updated 2026-11-12
A hospital-based computer tool that uses routine vital signs and lab tests to classify adults with ARDS into two biological subtypes to help match patients with better treatments.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | January 28, 2025 |
| Project end | November 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $703,376 |
| NIH project number | 5R01HL173531-02 |
| Project ID | NIH-11266195 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults hospitalized in the ICU with ARDS or sepsis-related respiratory failure who have routine labs and vital signs recorded in the EHR would be the ideal candidates.
✕Less likely to help
People who are not hospitalized, children, or patients treated at hospitals without the required EHR tool or lab data are unlikely to benefit directly from this project.
What this research studies
This project builds a computer classifier that uses routine vital signs and lab tests already in your medical record to determine whether your ARDS is a hyperinflammatory or hypoinflammatory subtype. The team will train and validate the model using past patient records and protein biomarker data, then embed the tool into the hospital electronic health record so it can run automatically at the bedside. They will compare the tool's labels to prior biomarker-based methods and monitor how well the classifications correspond to outcomes. The goal is to make subtype information available quickly so future trials and treatments can be targeted to the right patients.
Why it matters
Potential benefit: If successful, clinicians could quickly know a patient's ARDS subtype at the bedside and enroll patients in subtype-targeted trials or tailor treatments more effectively.
How similar studies have gone: Prior research has reproducibly identified hyperinflammatory and hypoinflammatory ARDS subtypes with different outcomes and treatment responses, but bedside EHR-based classification is a newer translational step with limited prior clinical testing.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Sinha, Pratik — Washington University
- Study coordinator: Sinha, Pratik
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.