Interictal respiratory variability predicts severity of hypoxemia after generalized convulsive seizures

Author:

Sainju Rup K.1ORCID,Dragon Deidre N.1,Winnike Harold B.2,Vilella Laura3ORCID,Li Xiaojin3,Lhatoo Samden3ORCID,Ten Eyck Patrick2,Wendt Linder H.2,Richerson George B.1456,Gehlbach Brian K.7ORCID

Affiliation:

1. Department of Neurology University of Iowa Hospitals and Clinics Iowa City Iowa USA

2. Institute for Clinical and Translational Science, University of Iowa Iowa City Iowa USA

3. Department of Neurology, McGovern Medical School University of Texas Health Science Center at Houston Houston Texas USA

4. Department of Molecular Physiology and Biophysics University of Iowa Iowa City Iowa USA

5. Iowa Neuroscience Institute University of Iowa Iowa City Iowa USA

6. VA Medical Center Iowa City Iowa USA

7. Department of Internal Medicine University of Iowa Hospitals and Clinics Iowa City Iowa USA

Abstract

AbstractObjectiveSevere respiratory dysfunction induced by generalized convulsive seizures (GCS) is now thought to be a common mechanism for sudden unexpected death in epilepsy (SUDEP). In a mouse model of seizure‐induced death, increased interictal respiratory variability was reported in mice that later died of respiratory arrest after GCS. We studied respiratory variability in epilepsy patients as a predictive tool for severity of postictal hypoxemia, a potential biomarker for SUDEP risk. We then explored the relationship between respiratory variability and central CO2 drive, measured by the hypercapnic ventilatory response (HCVR).MethodsWe reviewed clinical, video‐electroencephalography, and respiratory (belts, airflow, pulse oximeter, and HCVR) data of epilepsy patients. Mean, SD, and coefficient of variation (CV) of interbreath interval (IBI) were calculated. Primary outcomes were: (1) nadir of capillary oxygen saturation (SpO2) and (2) duration of oxygen desaturation. Poincaré plots of IBI were created. Covariates were evaluated in univariate models, then, based on Akaike information criteria (AIC), multivariate regression models were created.ResultsOf 66 GCS recorded in 131 subjects, 30 had interpretable respiratory data. In the multivariate model with the lowest AIC value, duration of epilepsy was a significant predictor of duration of oxygen desaturation. Duration of tonic phase and CV of IBI during the third postictal minute correlated with SpO2 nadir, whereas CV of IBI during non‐rapid eye movement sleep had a negative correlation. Poincaré plots showed that long‐term variability was significantly greater in subjects with ≥200 s of postictal oxygen desaturation after GCS compared to those with <200 s desaturation. Finally, HCVR slope showed a negative correlation with measures of respiratory variability.SignificanceThese results indicate that interictal respiratory variability predicts severity of postictal oxygen desaturation, suggesting its utility as a potential biomarker. They also suggest that interictal respiratory control may be abnormal in some patients with epilepsy.

Funder

National Center for Advancing Translational Sciences

National Institute of Neurological Disorders and Stroke

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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