Evaluating the risks for SUDEP at night: depth of sleep predicts postictal heart rate
Abstract number :
736
Submission category :
4. Clinical Epilepsy / 4D. Prognosis
Year :
2020
Submission ID :
2423076
Source :
www.aesnet.org
Presentation date :
12/7/2020 9:07:12 AM
Published date :
Nov 21, 2020, 02:24 AM
Authors :
Andrew Schomer, University of Virginia; Morgan Lynch - University of Virginia; Juliana Leonardo - University of Virginia; Valentina Baljak - University of Virginia; Matthew Clark - Advanced Medical Predictive Devices; J Randall Moorman - University of Vir
Rationale:
To determine the effect of sleep on heart rate following a recorded seizure.
Method:
We performed a prospective acquisition of heart rate data in hospitalized EMU (Epilepsy Monitoring Unit) patients. Heart rate trends for multiple seizures (n=101) in patients (n=42) with EEG-confirmed events were analyzed. The sleep state of the patient was scored for the 5 minutes preceding each seizure and correlated with the minimum heart rate in the postictal period.
Results:
The depth of sleep in 5 minutes prior to a seizure correlated (CC -0.229, p value .0221) with a lower minimum heart rate in the postictal state (postictal nadir for heart rate or PINHR). This result was more significant and strengthened (CC -0.272, 95thCI -0.392 to -0.152, p value < .001) when adjusted for covariates of age, generalized tonic-clonic seizures and baseline heart rate.
Conclusion:
Sleep depth is an independent predictor of the change in heart rate following a seizure. Diminished heart rate following a seizure in the setting of sleep may play a role in the sudden unexpected death in epilepsy (SUDEP), an event that occurs frequently at night when patients are asleep.
Funding:
:Dr. Schomer received partial salary support and technical support though the NeuroNEXT
Clinical Epilepsy