One in every 1,000 patients with epilepsy dies suddenly every year. Researchers have confirmed that some severe-type seizures (generalized convulsive seizures—GCS) are the most consistent risk factor for Sudden Unexpected Death in Epilepsy (SUDEP). In the past few years, heart rate variability (HRV) has been studied as a potential biomarker to identify patients at greater […]
Every year in the United States, a few hundred children die suddenly and without explanation. Now researchers have found gene variants that may contribute to some of those tragic deaths. The hope, experts said, is that understanding the underlying mechanisms will eventually lead to ways to save lives. Since the 1990s, the term SIDS — short for […]
Heart rate variability (HRV), in particular, reduced low frequency power (LFP), appears to be a biomarker for sudden unexpected death in epilepsy (SUDEP) when measured while individuals with epilepsy are awake, according to a study published online on December 14 in Neurology. “Low HRV strongly predicts an increased risk of sudden death in heart disease patients and all-cause […]
Neurava, a startup located in West Lafayette, Indiana, announced Monday (Nov. 1) that it has received more than $650,000 in seed funding led by Elevate Ventures with participation from Purdue Foundry, First Leaf Capital, UCB Biopharma, iO Life Ventures and angel investors. Neurava is developing a wearable device to monitor and alert for the impending risk of sudden, unexpected death in epilepsy […]
Epileptic patients’ individual characteristics are increasingly used to try to avoid sudden unexpected death in epilepsy (SUDEP). Epilepsy is a neurological disorder caused by sudden excessive neuronal activity in the brain. Recurrent and unpredictable seizures are a hallmark of epilepsy, and these episodes can start at any age. Seizures can be caused by numerous factors, […]
Models provided more accurate predictions of risk for sudden unexpected death in epilepsy than population-based estimates, according to results of a study that utilized a Bayesian logistic regression model. The models remained more accurate even when they were “generalized to unseen data,” researchers noted in Neurology. Ashwani Jha “Epilepsy is one of the leading causes of […]
