Heart Rate Variability Integrated into a Longitudinal Multimodal Model to Predict Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.

Valerie C Schütz^1,2, Jens M Boss¹, Corinne Inauen^1,3, Stefan Y Bögli^1,3, Tilman Beck¹, Emanuela Keller⁴, Jan F Willms¹

¹Neurocritical Care Unit, Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.

²Department of Neurology, University Hospital Tulln, 3430 Tulln, Austria.

³Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.

⁴Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Delayed cerebral ischemia (DCI) is a major cause of morbidity after aneurysmal subarachnoid hemorrhage (aSAH), yet early prediction remains difficult, especially in comatose patients. Existing risk scores are largely static and do not capture dynamic pathophysiological changes. Heart rate variability (HRV), reflecting autonomic nervous system activity, may provide additional predictive…

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