Resuscitation
Prediction of neurological outcome after pediatric cardiac arrest using heart rate variability and machine learning.
Luiz E V Silva, Daniel Balcarcel, Tiffany S Ko, Ryan W Morgan, Robert A Berg, Alexis Topjian, Fuchiang Rich Tsui, Matthew P Kirschen
Published: 202610.1016/j.resuscitation.2026.110961
Abstract
AIMS: Heart rate variability (HRV), a non-invasive measure of autonomic function, may offer prognostic value after pediatric cardiac arrest. We used machine learning models to determine whether HRV features within the first 24 h after return of spont…
Preview only. Read the full abstract at the source