title: Predictors of readmission after successful electroconvulsive therapy for depression: a chart review study.
abstract: OBJECTIVE
  The study aimed to identify the predictors for readmission after a successful electroconvulsive therapy (ECT) course.
  
  
  METHODS
  Medical charts of patients who received ECT for major depressive episodes were reviewed. Patients' demographic characteristics and treatment parameters, such as ECT charge, seizure duration, the number of ECT sessions and pharmacotherapy, were extracted. We compared differences between those who were readmitted after successful ECT within 6 and 12 months, versus those not readmitted. We also conducted a multivariate logistic regression analysis to identify the predictors for readmission.
  
  
  RESULTS
  Out of 51 patients who were discharged after ECT, 27 patients met the inclusion criteria and were included in the analysis. Eight patients were readmitted within 6 months after discharge, and four more patients were readmitted during the next 6-month follow up. Comparing patients who were and were not readmitted, we found no significant differences between groups, including ECT parameters such as the number of ECT sessions, average charge and final charge. No predictors for readmission were found through multivariate analysis.
  
  
  CONCLUSIONS
  Although patients who require higher ECT charge and more sessions seem to be prone to readmission, our dataset suggested that none of these types of ECT parameters were risk factors for readmission.
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;|b Department of Neuropsychiatry , Kawasaki Municipal Hospital , Kanagawa , Japan ;
authors.forename: Takahito
authors.initials: T
authors.lastname: Uchida
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;|c The Zucker Hillside Hospital , Glen Oaks , NY , USA.
authors.forename: Taishiro
authors.initials: T
authors.lastname: Kishimoto
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Akihiro
authors.initials: A
authors.lastname: Koreki
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Shigetsugu
authors.initials: S
authors.lastname: Nakao
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Ai
authors.initials: A
authors.lastname: Owada
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Teruki
authors.initials: T
authors.lastname: Koizumi
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Atsuyuki
authors.initials: A
authors.lastname: Saito
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Minako
authors.initials: M
authors.lastname: Sato
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Shinya
authors.initials: S
authors.lastname: Sawada
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Ryuta
authors.initials: R
authors.lastname: Matsuzaki
authors.affiliation: c The Zucker Hillside Hospital , Glen Oaks , NY , USA.
authors.forename: Georgios
authors.initials: G
authors.lastname: Petrides
authors.affiliation: a Department of Neuropsychiatry , Keio University School of Medicine , Tokyo , Japan ;
authors.forename: Masaru
authors.initials: M
authors.lastname: Mimura
mesh_terms: D000368:Aged; D003865:Major Depressive Disorder / Q000628:therapy*; D004565:Electroconvulsive Therapy / Q000706:statistics & numerical data*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D010359:Patient Readmission / Q000706:statistics & numerical data*; D011379:Prognosis; D012307:Risk Factors
keywords: Chart review; depression; electroconvulsive therapy; predictor; readmission