title: Clinical predictors of short-term outcome in electroconvulsive therapy.
abstract: OBJECTIVE
  Electroconvulsive therapy (ECT) remains one of the most effective biological treatments for major depression. However, there is little information on the clinical use of ECT, and most studies were conducted before the introduction of newer antidepressants and before improvements in ECT delivery. This study examined ECT use in a university teaching hospital to determine predictors of short-term ECT outcome.
  
  
  METHODS
  This was a retrospective chart review of ECT over the period 1994-1996. Data extracted from the chart included demographic information, clinical features of depression, and documented antidepressant trials. Outcome measures, based on the chart notes, included Clinical Global Impression (CGI) and cognitive side effects of ECT at 1 week post-ECT or at discharge if sooner.
  
  
  RESULTS
  Of 174 patients who received ECT, 130 had a diagnosis of unipolar major depressive disorder. Of these 130 patients, 92% were refractory to at least 1 antidepressant medication. After a clinical course of ECT, 87% were rated as "much" or "very much" improved on the CGI. Moderate side effects were noted in 16% of patients, while only 7% had marked side effects. Medication resistance was not related to ECT response. No significant clinical predictors (symptoms, chronicity, number of antidepressant trials) of ECT outcome were found on a stepwise multiple-regression analysis.
  
  
  CONCLUSIONS
  These results support previous studies showing that ECT results in very good short-term response in major depressive disorder and that the cognitive side effects of ECT are reasonable. Despite the limitations of this study (retrospective, chart review, global measures), the results will inform clinicians who are recommending ECT for their patients.
authors: Department of Psychiatry, University of British Columbia, Vancouver. rlam@unixg.ubc.ca
authors: R W
authors: RW
authors: Lam
authors: S
authors: S
authors: Bartley
authors: L N
authors: LN
authors: Yatham
authors: E M
authors: EM
authors: Tam
authors: A P
authors: AP
authors: Zis
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D003866:Depressive Disorder / Q000145:classification / Q000628:therapy*; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data; D004351:Drug Resistance; D004565:Electroconvulsive Therapy / Q000145:classification / Q000379:methods / Q000592:standards / Q000706:statistics & numerical data; D017050:Episode of Care; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D011618:Psychotic Disorders / Q000628:therapy; D011619:Psychotropic Drugs / Q000627:therapeutic use; D012044:Regression Analysis; D012189:Retrospective Studies; D016896:Treatment Outcome
chemical_list: D011619:Psychotropic Drugs