Predicting whether a child will die within one hour after withdrawing breathing support

Death One Hour After Terminal Extubation (DONATE) 2.0 Study

NIH-funded research Children's Hospital of Los Angeles · NIH-11289307

This project uses a computer model to help doctors predict if a child will pass away within one hour after breathing support is removed, to guide organ donation decisions.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionChildren's Hospital of Los Angeles NIH-funded
Lab location1 site (Los Angeles, United States)
Project IDNIH-11289307 on NIH RePORTER

What this research studies

If my child might be considered for donation after circulatory death, timing is critical because organs must be recovered within about an hour after life support is stopped. Researchers trained a machine-learning model called DONATE using medical records from multiple hospitals to predict whether a child will die within that hour. They turned the model into a clinical decision support tool designed to help doctors and families decide who is a likely donor and to plan care and organ recovery. This project will test and refine that tool in real clinical settings and study how it affects families and hospital workflows.

Who could benefit from this research

Good fit: Children who are potential donation-after-circulatory-death (DCD) candidates undergoing planned withdrawal of life-sustaining ventilation at participating hospitals and their families.

Not a fit: Patients who are not being considered for organ donation, whose clinical situation is unrelated to DCD, or who die on a different timeline are unlikely to benefit.

Why it matters

Potential benefit: Could help recover more usable organs, reduce unsuccessful donation attempts, and ease decision-making and emotional burden for families.

How similar studies have performed: The team has already trained and tested the DONATE model on multi-site data and prototyped a clinical tool, but machine-learning prediction for DCD is relatively new and has limited real-world deployment.

Where this research is happening

Los Angeles, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.