CapTURE-MG: A patient-friendly MG data toolkit in a common EHR
Official title: Project 1 Clinical Procedures to Support Research in Myasthenia Gravis (CAPTURE_MG)
Funded at George Washington University · NIH-11414984 · Data updated 2026-11-12
A multi-site effort to use a streamlined MG toolkit inside the Epic EHR to collect consistent, real-world information about myasthenia gravis from routine care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | George Washington University NIH-funded |
| Lab location | 1 site (Washington, United States) |
| Project start | September 1, 2019 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $444,160 |
| NIH project number | 5U54NS115054-07 |
| Project ID | NIH-11414984 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with myasthenia gravis seen at participating academic centers.
✕Less likely to help
Patients not receiving care at the participating centers or not contributing data to the toolkit may not directly benefit.
What this research studies
CAPTURE-MG will embed a user-friendly MG-Toolkit into Epic so clinicians can capture standardized data during regular visits without extra burden. This creates a centralized, de-identified database to understand how MG behaves in real life and to compare real-world treatment outcomes. The project aims to support future trials and biomarker work by providing high-quality data across multiple centers. It builds on the ALS toolkit concept to harmonize documentation and improve care.”
Why it matters
Potential benefit: If successful, MG care could be guided by clearer real-world data and faster access to evidence about new therapies.
How similar studies have gone: The approach mirrors a proven toolkit for ALS that improved data collection and research utility.
Where this research is happening
-
George Washington University
Washington, United States Active
Researchers
- Principal investigator: Kaminski, Henry J — George Washington University
- Study coordinator: Kaminski, Henry J
Related research
Other NIH-funded projects on the same topics.
-
Understanding how autoimmunity causes myasthenia gravis
This project looks at why the immune system attacks the nerve-muscle connection in myasthenia gravis and how different patient groups are affected.
-
Biological age in myasthenia gravis: guiding who responds to treatment
A patient-friendly look at how a person’s biological age, not just their calendar age, might predict how MG patients respond to treatment and how treatments could even reduce biological aging.
-
Rare Disease Network for Myasthenia Gravis
A nationwide effort to improve diagnosis, monitoring, and trial readiness for people with myasthenia gravis through biomarker work and better care tools.
-
Understanding how autoimmune attacks cause myasthenia gravis
Researchers are studying how the immune system mistakenly targets the neuromuscular junction in myasthenia gravis to identify why the disease starts and how it progresses.
-
Mechanistically informed deep learning to study autoreactive B cells in Myasthenia Gravis
A study using advanced computer models to find hidden immune-cell signals in people with Myasthenia Gravis, including those who don’t yet show detectable antibodies.
-
Heterogeneity in autoimmune myasthenia gravis: classifying disease variants to guide personalized therapies
This research looks at different forms of myasthenia gravis to understand how unique immune factors drive the disease so doctors can tailor 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.