title: Factors predictive of late remission in a cohort of Chinese patients with newly diagnosed epilepsy.
abstract: OBJECTIVE
  Limited data have focused on predictive factors of late remission in patients with newly diagnosed epilepsy. We are aiming to identify prognostic predictors of late remission in a prospective cohort of Chinese patients.
  
  
  METHODS
  Patients with newly diagnosed epilepsy were included from 2009 to September 2012 at a tertiary hospital, with follow-up of at least two years. Early remission was defined by seizure free either immediately or within six months of treatment initiation, late remission was defined by seizure free achieved after more than six months. All analyses were performed with SPSS 13.0 software.
  
  
  RESULTS
  A total of 223 patients were included, and followed for an average of 43 months. 115 patients (51.6%) achieved early remission and 39 patients (17.5%) achieved late remission. Multivariable logistic regression analysis demonstrated more than 3 seizures prior to treatment (OR=3.12, 95% CI 1.39-7.04, p=0.006) and multiple seizure types (OR=2.49, 95% CI 1.02-6.11, p=0.046) may predict late remission. However, nonadherence was not significantly associated with late remission.
  
  
  CONCLUSIONS
  Patients with a high frequency of seizures prior to treatment or multiple seizure types may achieve late remission. Particular consideration should be given to these patients.
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
authors.forename: Chunhong
authors.initials: C
authors.lastname: Shen
authors.affiliation: Department of Neurology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing 312000, China.
authors.forename: Ye
authors.initials: Y
authors.lastname: Du
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
authors.forename: Ruyi
authors.initials: R
authors.lastname: Lu
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
authors.forename: Yinxi
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Jin
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
authors.forename: Yao
authors.initials: Y
authors.lastname: Ding
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
authors.forename: Guo
authors.initials: G
authors.lastname: Yi
authors.affiliation: Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China. Electronic address: meipingd@163.com.
authors.forename: Meiping
authors.initials: M
authors.lastname: Ding
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000927:Anticonvulsants / Q000627:therapeutic use*; D044466:Asian People; D004827:Epilepsy / Q000188:drug therapy*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012008:Recurrence; D012307:Risk Factors; D016896:Treatment Outcome; D055815:Young Adult
chemical_list: D000927:Anticonvulsants
keywords: Newly diagnosed epilepsy; Remission; Risk factor