Developing predictive models for frailty in heart failure patients using electronic health records.
Official title: Using Large Electronic Health Records and Advanced Analytics to Develop Predictive Frailty Trajectories in Patients with Heart Failure
Funded at Baylor College of Medicine · NIH-10866399 · Data updated 2026-11-12
This study is looking at how frailty affects older adults with heart failure by using health records to find patterns and risks, with the goal of helping doctors make better decisions for patient care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | July 1, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2024 |
| Award (this year) | $143,942 |
| NIH project number | 5K25HL152006-05 |
| Project ID | NIH-10866399 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults aged 21 and older who have been diagnosed with heart failure and may exhibit signs of frailty.
✕Less likely to help
Patients who are younger than 21 or do not have heart failure may not benefit from this research.
What this research studies
This research aims to create advanced predictive models that assess frailty trajectories in patients with heart failure by utilizing large electronic health records (EHR). The approach involves analyzing clinical data to identify patterns and risk factors associated with frailty, which is a significant concern for older adults with chronic illnesses. By employing advanced computational techniques and clinical informatics, the research seeks to enhance understanding of how frailty impacts health outcomes and patient care. The ultimate goal is to improve clinical decision-making and patient management through better risk stratification.
Why it matters
Potential benefit: If successful, this research could lead to improved identification and management of frailty in heart failure patients, potentially enhancing their quality of life and reducing hospitalizations.
How similar studies have gone: Previous research has shown promise in using electronic health records for predictive modeling in various health conditions, indicating that this approach could be effective for frailty as well.
Where this research is happening
-
Baylor College of Medicine
Houston, United States Active
Researchers
- Principal investigator: Razjouyan, Javad — Baylor College of Medicine
- Study coordinator: Razjouyan, Javad
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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.