Improving treatments for acute respiratory distress syndrome using advanced statistical methods
Official title: Advancing the design, analysis, and interpretation of acute respiratory distress syndrome trials using modern statistical tools
Funded at University of Pennsylvania · NIH-11092829 · Data updated 2026-11-12
This study is looking at past clinical trial data to find new and better treatments for people with acute respiratory distress syndrome (ARDS) by using advanced techniques, so we can help patients get the care they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | June 1, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $726,564 |
| NIH project number | 5R01HL168202-03 |
| Project ID | NIH-11092829 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with acute respiratory distress syndrome or those at risk of developing it.
✕Less likely to help
Patients with chronic respiratory conditions or those not experiencing acute respiratory distress may not benefit from this research.
What this research studies
This research focuses on enhancing the understanding and treatment of acute respiratory distress syndrome (ARDS) by reanalyzing data from previous clinical trials using modern statistical techniques. The team will utilize Bayesian causal inference and machine learning to extract more meaningful insights from over 15,000 patient records across 29 trials. By moving beyond traditional statistical methods, they aim to identify potentially beneficial therapies that may have been overlooked. This approach could lead to better treatment options for patients suffering from ARDS.
Why it matters
Potential benefit: If successful, this research could lead to improved treatment strategies for patients with acute respiratory distress syndrome, potentially reducing mortality and morbidity.
How similar studies have gone: Previous research using Bayesian methods in clinical trials has shown promise, suggesting that this innovative approach could yield significant insights in ARDS treatment.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Harhay, Michael Oscar — University of Pennsylvania
- Study coordinator: Harhay, Michael Oscar
Related research
Other NIH-funded projects on the same topics.
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-
Resilience endotypes and early ARDS detection using biomarkers and AI
A Duke University team is using biomarkers and smart data analysis to detect ARDS early and uncover patterns that predict how patients recover.
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This grant explores how the thrombin receptor PAR1 affects lung lymphatics to understand and ultimately reduce lung injury in ARDS patients.
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Dead space and inhaled nitric oxide in pediatric ARDS
This project looks at whether measuring dead space and using inhaled nitric oxide can help improve outcomes for children with acute respiratory distress syndrome.
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Immune, hormone, and muscle energy links to recovery after ARDS
This project looks at why some ARDS survivors have ongoing weakness and how immune, hormone, and muscle energy factors might influence recovery.</n>
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Understanding why some people with severe lung injury get worse and how to tailor therapy
A patient-focused program that looks at why people develop sepsis-associated ARDS and how their bodies respond, with the goal of guiding better, personalized treatments.
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.