Somsak Tiamkao1, Noppamas Kaewkiow2, Sineenard Pranbul3, Kittisak Sawanyawisuth4. 1. Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; Integrated Epilepsy Research Group, Khon Kaen University, Thailand. Electronic address: somtia@kku.ac.th. 2. Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand. 3. Integrated Epilepsy Research Group, Khon Kaen University, Thailand; Nursing Division, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand. 4. Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; Researches and Diagnostic Center for Emerging Infectious Diseases, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Abstract
OBJECTIVE: Persons with epilepsy (PWEs) are more prone to accidents than healthy people. A previous study provided an online tool to predict the risk of seizure-related injury (SRI) in individual PWEs. There is, however, no validation of the formula. METHODS: This is a cross-sectional study conducted in 10 community hospitals in Thailand. PWEs with an age of over 18 years were enrolled and defined by having had a seizure related injury (SRI). The probability of individual PWEs having a SRI was calculated by the online tool (http://sribykku.webs.com). The probability of this happening in all patients was calculated for sensitivity and specificity when compared with real data. RESULTS: There were 316 patients enrolled in the study. Of those, 122 patients (38.6%) had a SRI. The sensitivity and specificity of having a SRI by the online formula were 93.44% and 43.30%, respectively. CONCLUSION: The online formula to predict SRI in PWEs is valid and provided comparable sensitivity and specificity with a previous study that was conducted in the tertiary care hospital.
OBJECTIVE:Persons with epilepsy (PWEs) are more prone to accidents than healthy people. A previous study provided an online tool to predict the risk of seizure-related injury (SRI) in individual PWEs. There is, however, no validation of the formula. METHODS: This is a cross-sectional study conducted in 10 community hospitals in Thailand. PWEs with an age of over 18 years were enrolled and defined by having had a seizure related injury (SRI). The probability of individual PWEs having a SRI was calculated by the online tool (http://sribykku.webs.com). The probability of this happening in all patients was calculated for sensitivity and specificity when compared with real data. RESULTS: There were 316 patients enrolled in the study. Of those, 122 patients (38.6%) had a SRI. The sensitivity and specificity of having a SRI by the online formula were 93.44% and 43.30%, respectively. CONCLUSION: The online formula to predict SRI in PWEs is valid and provided comparable sensitivity and specificity with a previous study that was conducted in the tertiary care hospital.