Predicting heart problems in people on dialysis using ECG data
Official title: Deep learning on ECGs to improve outcomes in patients on dialysis
Funded at Icahn School of Medicine at Mount Sinai · NIH-11326789 · Data updated 2026-11-12
A large study will use electrocardiograms to predict dangerous heart events in people who are on long-term dialysis.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 1, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $679,999 |
| NIH project number | 5R01HL167050-04 |
| Project ID | NIH-11326789 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults on maintenance hemodialysis who have access to dialysis units participating in the study.
✕Less likely to help
Patients not yet enrolled or those without available ECG data or who miss follow-up could see limited benefit.
What this research studies
This project will collect ECG data from 1,000 diverse patients on hemodialysis in New York and validation data from an additional 150 patients, then apply deep learning to extract heart function features and forecast events like intradialytic hypotension and major adverse cardiovascular events. The goal is to produce a practical, non-invasive method that clinicians can use to identify high-risk patients during dialysis sessions. By building and validating predictive models, the study aims to enable targeted interventions to prevent complications and improve outcomes.
Why it matters
Potential benefit: If successful, clinicians could identify high-risk patients in real time and tailor treatments to prevent hypotension and other serious heart events during dialysis.
How similar studies have gone: Preliminary data suggest ECG waveform analysis can predict cardiac outcomes, and this study extends those findings to a large, prospective cohort.
Where this research is happening
-
Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Nadkarni, Girish Nitin — Icahn School of Medicine at Mount Sinai
- Study coordinator: Nadkarni, Girish Nitin
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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.