title: Predictive risk factors of seizure-related injury in persons with epilepsy.
abstract: OBJECTIVE
  The clinical risk factors for seizure-related injuries (SRI) in adult persons with epilepsy (PWE) were studied and analyzed to develop a predictive model.
  
  
  METHODS
  We enrolled 300 consecutive cases from three epilepsy clinics in Northeast, Thailand. Subjects were eligible if reported to have at least one seizure attack during the past 12 months. Face-to-face questionnaire was used to evaluate SRI, baseline characteristics and other seizure-related variables.
  
  
  RESULTS
  There were 247 and 91 PWE who met a criterion and had SRI, respectively. By multivariate logistic regression method, GTC seizure type, having history of seizure attacks at least 12 times/year, and daytime seizure were significant risk factors of having SRI with odds ratio of 2.376, 2.460, and 3.562, respectively. We developed the predictive model for having SRI in PWE and it gave 90.3% sensitivity and 46.7% specificity on the occurrence of SRI. The estimated probability of SRI can be found online at http://sribykku.webs.com/.
  
  
  CONCLUSIONS
  The significant predictive factors for SRI in PWE were the occurrence of GTCs, seizures at least 12 times/year or daytime seizures. Clinicians or PWE can easily evaluate the risk of having SRI in individuals by the online predictive model.
authors.affiliation: Division of Neurology, Department of Medicine, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand. somtia@kku.ac.th
authors.forename: Somsak
authors.initials: S
authors.lastname: Tiamkao
authors.forename: Kittisak
authors.initials: K
authors.lastname: Sawanyawisuth
authors.forename: Thanin
authors.initials: T
authors.lastname: Asawavichienjinda
authors.forename: Prapun
authors.initials: P
authors.lastname: Yaudnopakao
authors.forename: Suwanna
authors.initials: S
authors.lastname: Arunpongpaisal
authors.forename: Warinthorn
authors.initials: W
authors.lastname: Phuttharak
authors.forename: Narong
authors.initials: N
authors.lastname: Auevitchayapat
authors.forename: Suda
authors.initials: S
authors.lastname: Vannaprasaht
authors.forename: Siriporn
authors.initials: S
authors.lastname: Tiamkao
authors.forename: Kutcharin
authors.initials: K
authors.lastname: Phunikhom
authors.forename: Aporanee
authors.initials: A
authors.lastname: Chaiyakum
authors.forename: Jiamjit
authors.initials: J
authors.lastname: Saengsuwan
authors.forename: Suthipun
authors.initials: S
authors.lastname: Jitpimolmard
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000927:Anticonvulsants / Q000627:therapeutic use; D004827:Epilepsy / Q000175:diagnosis* / Q000188:drug therapy / Q000453:epidemiology; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D017440:Photoperiod; D012307:Risk Factors; D012640:Seizures / Q000175:diagnosis* / Q000188:drug therapy / Q000453:epidemiology; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D013997:Time Factors; D014947:Wounds and Injuries / Q000175:diagnosis* / Q000453:epidemiology / Q000517:prevention & control; D055815:Young Adult
chemical_list: D000927:Anticonvulsants