Difference between revisions of "The SUDEP Risk Inventory: Association with postictal generalized EEG suppression"
(Created page with "''Moseley BD and DeGiorgio CM (2015) The SUDEP Risk Inventory: Association with postictal generalized EEG suppression. Epilepsy Res. 117:82-4.'' '''[https://ac.els-cdn.com/S0...") |
|||
| Line 1: | Line 1: | ||
| − | + | {{Reference | |
| − | + | |reference= | |
| − | + | Moseley BD and DeGiorgio CM (2015) The SUDEP Risk Inventory: Association with postictal generalized EEG suppression. Epilepsy Res. 117:82-4. | |
| − | + | |url= | |
| − | == | + | https://ac.els-cdn.com/S0920121115300486/1-s2.0-S0920121115300486-main.pdf?_tid=9eb640f4-ca7b-419a-a0c2-e9f97555e6f8&acdnat=1530209412_0e9931bd4b1c1275fd1e229b6a0b1f31 |
| − | == | + | |abstract= |
| + | |||
| + | To help identify patients at greatest risk for sudden unexpected death in epilepsy (SUDEP), screening inventories like the SUDEP-7 Inventory can be useful. In this study, we examined the strength of association between this inventory's risk factors and postictal generalized EEG suppression (PGES), a biomarker of SUDEP risk. We reanalyzed data from an epilepsy monitoring unit study of 37 children. We performed a 2 by 2 contingency table analysis to determine the association between "yes" responses on the inventory questions and PGES following >=1 seizure. Having a history of >3 generalized tonic-clonic seizures (GTCS) in the past year had the strongest association with PGES (Pearson chi-square p<0.001, Cramer's V=0.75). Having >=1 GTCS in the past year was also strongly associated with PGES (Pearson chi-square p<0.001, Cramer's V=0.636). Histories of >50 seizures of any type/month (Pearson chi-square p=0.14, Cramer's V=0.241) and intellectual disability (Pearson chi-square p=0.04, Cramer's V=0.337) were not as robustly associated with PGES. Current use of >=3 AEDs had the weakest association with PGES (Pearson chi-square p=0.66, Cramer's V=0.072). Given that all study patients had >=1 seizure per year and epilepsy durations <30 years, the strength of association with these questions and PGES could not be analyzed. | ||
| + | |||
| + | |keywords= | ||
| + | |||
| + | Sudden unexpected death in epilepsy, SUDEP, Risk Factor, Inventory, PGES, Epilepsy | ||
| + | |||
| + | |context= | ||
| + | |||
| + | |||
| + | |comments= | ||
| + | |||
| + | |||
| + | }} | ||
Latest revision as of 14:10, 17 June 2019
Moseley BD and DeGiorgio CM (2015) The SUDEP Risk Inventory: Association with postictal generalized EEG suppression. Epilepsy Res. 117:82-4.
Abstract: To help identify patients at greatest risk for sudden unexpected death in epilepsy (SUDEP), screening inventories like the SUDEP-7 Inventory can be useful. In this study, we examined the strength of association between this inventory's risk factors and postictal generalized EEG suppression (PGES), a biomarker of SUDEP risk. We reanalyzed data from an epilepsy monitoring unit study of 37 children. We performed a 2 by 2 contingency table analysis to determine the association between "yes" responses on the inventory questions and PGES following >=1 seizure. Having a history of >3 generalized tonic-clonic seizures (GTCS) in the past year had the strongest association with PGES (Pearson chi-square p<0.001, Cramer's V=0.75). Having >=1 GTCS in the past year was also strongly associated with PGES (Pearson chi-square p<0.001, Cramer's V=0.636). Histories of >50 seizures of any type/month (Pearson chi-square p=0.14, Cramer's V=0.241) and intellectual disability (Pearson chi-square p=0.04, Cramer's V=0.337) were not as robustly associated with PGES. Current use of >=3 AEDs had the weakest association with PGES (Pearson chi-square p=0.66, Cramer's V=0.072). Given that all study patients had >=1 seizure per year and epilepsy durations <30 years, the strength of association with these questions and PGES could not be analyzed.
Keywords: Sudden unexpected death in epilepsy, SUDEP, Risk Factor, Inventory, PGES, Epilepsy