title: Electroconvulsive therapy clinical database: Influence of age and gender on the electrical charge.
abstract: BACKGROUND
  The influence of age and gender in the electrical charge delivered in a given population was analysed using an electroconvulsive therapy (ECT) clinical database.
  
  
  METHODS
  An observational, prospective, longitudinal study with descriptive analysis was performed using data from a database that included total bilateral frontotemporal ECT carried out with a Mecta spECTrum 5000Q®in our hospital over 6 years. From 2006 to 2012, a total of 4,337 ECT were performed on 187 patients. Linear regression using mixed effects analysis was weighted by the inverse of the number of ECT performed on each patient per year of treatment.
  
  
  RESULTS
  The results indicate that age is related with changes in the required charge (P=.031), as such that the older the age a higher charge is needed. Gender is also associated with changes in charge (P=.014), with women requiring less charge than men, a mean of 87.3mC less. When the effects of age and gender are included in the same model, both are significant (P=.0080 and P=.0041). Thus, for the same age, women require 99.0mC less charge than men, and in both genders the charge increases by 2.3mC per year.
  
  
  CONCLUSIONS
  From our study, it is concluded that the effect of age on the dosage of the electrical charge is even more significant when related to gender. It would be of interest to promote the systematic collection of data for a better understanding and application of the technique.
authors.affiliation: Servicio de Psiquiatría, Salud Mental y Adicciones, Hospital Universitario de Santa María-Gestión de Servicios Sanitarios, Departamento de Medicina, Universidad de Lleida, Institut de Recerca Biomèdica (IRBLleida), Lleida, España.
authors.forename: Javier
authors.initials: J
authors.lastname: Salvador Sánchez
authors.affiliation: Servicio de Psiquiatría, Salud Mental y Adicciones, Hospital Universitario de Santa María-Gestión de Servicios Sanitarios, Departamento de Medicina, Universidad de Lleida, Institut de Recerca Biomèdica (IRBLleida), Lleida, España.
authors.forename: Mónica Delia
authors.initials: MD
authors.lastname: David
authors.affiliation: Servicio de Psiquiatría, Salud Mental y Adicciones, Hospital Universitario de Santa María-Gestión de Servicios Sanitarios, Departamento de Medicina, Universidad de Lleida, Institut de Recerca Biomèdica (IRBLleida), Lleida, España.
authors.forename: Aurora
authors.initials: A
authors.lastname: Torrent Setó
authors.affiliation: Servicio de Bioestadística y Soporte Metodológico, Institut de Recerca Biomèdica (IRB), Departamento de Medicina, Universidad de Lleida, Lleida, España.
authors.forename: Montserrat
authors.initials: M
authors.lastname: Martínez Alonso
authors.affiliation: Servicio de Psiquiatría, Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, España; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, España.
authors.forename: Maria J
authors.initials: MJ
authors.lastname: Portella Moll
authors.affiliation: Servicio de Psiquiatría, Salud Mental y Adicciones, Hospital Universitario de Santa María-Gestión de Servicios Sanitarios, Departamento de Medicina, Universidad de Lleida, Institut de Recerca Biomèdica (IRBLleida), Lleida, España.
authors.forename: Josep
authors.initials: J
authors.lastname: Pifarré Paredero
authors.affiliation: Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, España; Programa de Trastorno Bipolar, Servicio de Psiquiatría y Psicología, Hospital Clínic, Universidad de Barcelona, IDIBAPS, Barcelona, España.
authors.forename: Eduard
authors.initials: E
authors.lastname: Vieta Pascual
authors.affiliation: Servicio de Psiquiatría, Salud Mental y Adicciones, Hospital Universitario de Santa María-Gestión de Servicios Sanitarios, Departamento de Medicina, Universidad de Lleida, Institut de Recerca Biomèdica (IRBLleida), Lleida, España. Electronic address: mmur@gss.scs.es.
authors.forename: María
authors.initials: M
authors.lastname: Mur Laín
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D016208:Databases, Factual; D004565:Electroconvulsive Therapy / Q000295:instrumentation / Q000379:methods*; D005260:Female; D006801:Humans; D016014:Linear Models; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012737:Sex Factors; D055815:Young Adult
keywords: Age; Base de datos clínica; Carga eléctrica; Clinical database; Edad; Electrical charge; Electroconvulsive therapy; Gender; Género; Terapia electroconvulsiva