Cargando…

Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study

At the start and during the course of electroconvulsive therapy (ECT), estimation of the seizure threshold (ST) is useful in weighing the expected effectiveness against the risks of side effects. Therefore, this study explores clinical factors predicting initial ST (IST) and levels of ST during the...

Descripción completa

Detalles Bibliográficos
Autores principales: van Waarde, Jeroen A., van Oudheusden, Lucas J. B., Verwey, Bastiaan, Giltay, Erik J., van der Mast, Rose C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586136/
https://www.ncbi.nlm.nih.gov/pubmed/22797771
http://dx.doi.org/10.1007/s00406-012-0342-7
_version_ 1782261274065764352
author van Waarde, Jeroen A.
van Oudheusden, Lucas J. B.
Verwey, Bastiaan
Giltay, Erik J.
van der Mast, Rose C.
author_facet van Waarde, Jeroen A.
van Oudheusden, Lucas J. B.
Verwey, Bastiaan
Giltay, Erik J.
van der Mast, Rose C.
author_sort van Waarde, Jeroen A.
collection PubMed
description At the start and during the course of electroconvulsive therapy (ECT), estimation of the seizure threshold (ST) is useful in weighing the expected effectiveness against the risks of side effects. Therefore, this study explores clinical factors predicting initial ST (IST) and levels of ST during the ECT course. This prospective observational study included patients aged ≥18 years receiving ECT without contraindications for dose titration. At the first and every sixth consecutive ECT session, ST level was measured. Using multivariate linear regression and multilevel models, predictors for IST and change in ST levels were examined. A total of 91 patients (mean age, 59.1 ± 15.0 years; 37 % male; 97 % diagnosis of depression) were included. In multivariable analysis, higher age (β = 0.24; P = 0.03) and bifrontotemporal (BL) electrode placement (β = 0.42; P < 0.001) were independent predictors for higher IST, explaining 49 % of its variation. Also, these two variables independently predicted higher ST levels at different time points during the course. Using multilevel models, absence of a previous ECT course(s) predicted a steeper rise in ST during the course (P = 0.03 for the interaction term time*previous ECT). The age-adjusted dose-titration method is somewhat crude, resulting in some measurement error. Concomitant medication use could have influenced ST levels. Increasing age and BL electrode placement predicted higher (I)ST, which should be taken into account when selecting ECT dosage. Previous ECT course(s) may avoid an increase in ST during the course of ECT.
format Online
Article
Text
id pubmed-3586136
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Springer-Verlag
record_format MEDLINE/PubMed
spelling pubmed-35861362013-03-07 Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study van Waarde, Jeroen A. van Oudheusden, Lucas J. B. Verwey, Bastiaan Giltay, Erik J. van der Mast, Rose C. Eur Arch Psychiatry Clin Neurosci Original Paper At the start and during the course of electroconvulsive therapy (ECT), estimation of the seizure threshold (ST) is useful in weighing the expected effectiveness against the risks of side effects. Therefore, this study explores clinical factors predicting initial ST (IST) and levels of ST during the ECT course. This prospective observational study included patients aged ≥18 years receiving ECT without contraindications for dose titration. At the first and every sixth consecutive ECT session, ST level was measured. Using multivariate linear regression and multilevel models, predictors for IST and change in ST levels were examined. A total of 91 patients (mean age, 59.1 ± 15.0 years; 37 % male; 97 % diagnosis of depression) were included. In multivariable analysis, higher age (β = 0.24; P = 0.03) and bifrontotemporal (BL) electrode placement (β = 0.42; P < 0.001) were independent predictors for higher IST, explaining 49 % of its variation. Also, these two variables independently predicted higher ST levels at different time points during the course. Using multilevel models, absence of a previous ECT course(s) predicted a steeper rise in ST during the course (P = 0.03 for the interaction term time*previous ECT). The age-adjusted dose-titration method is somewhat crude, resulting in some measurement error. Concomitant medication use could have influenced ST levels. Increasing age and BL electrode placement predicted higher (I)ST, which should be taken into account when selecting ECT dosage. Previous ECT course(s) may avoid an increase in ST during the course of ECT. Springer-Verlag 2012-07-15 2013 /pmc/articles/PMC3586136/ /pubmed/22797771 http://dx.doi.org/10.1007/s00406-012-0342-7 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Paper
van Waarde, Jeroen A.
van Oudheusden, Lucas J. B.
Verwey, Bastiaan
Giltay, Erik J.
van der Mast, Rose C.
Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
title Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
title_full Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
title_fullStr Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
title_full_unstemmed Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
title_short Clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
title_sort clinical predictors of seizure threshold in electroconvulsive therapy: a prospective study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586136/
https://www.ncbi.nlm.nih.gov/pubmed/22797771
http://dx.doi.org/10.1007/s00406-012-0342-7
work_keys_str_mv AT vanwaardejeroena clinicalpredictorsofseizurethresholdinelectroconvulsivetherapyaprospectivestudy
AT vanoudheusdenlucasjb clinicalpredictorsofseizurethresholdinelectroconvulsivetherapyaprospectivestudy
AT verweybastiaan clinicalpredictorsofseizurethresholdinelectroconvulsivetherapyaprospectivestudy
AT giltayerikj clinicalpredictorsofseizurethresholdinelectroconvulsivetherapyaprospectivestudy
AT vandermastrosec clinicalpredictorsofseizurethresholdinelectroconvulsivetherapyaprospectivestudy