Prediction of antidepressant response in both 2.25 × threshold RUL and fixed high dose RUL ECT

James N. Kimball, Peter B. Rosenquist, Aaron Dunn, William Vaughn McCall

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Some forms of electroconvulsive therapy (ECT) can result in generalized seizures that lack efficacy, therefore physiological markers of treatment adequacy would be helpful. EEG measures of seizure quality, such as EEG regularity and post-ictal suppression, have largely supplanted seizure duration as a marker for seizure adequacy, yet no predictive algorithm has gained wide clinical acceptance. Electrographic seizure durations of less than 25 s still prompt re-stimulation in many settings. We re-examined the utility of EEG seizure duration and other measures of EEG seizure as predictors of antidepressant response to right unilateral (RUL) ECT. Methods: Seventy-two adult patients with major depression were randomized to either titrated RUL ECT at 2.25 times initial seizure threshold or RUL ECT at a fixed dose of 403 mC. Intent-to-treat responder status (defined by 60% reduction in HRSD scores and final score of 12 or less after the last RUL ECT session) was identified as the dependent variable in a nominal logistic regression model including EEG seizure quality candidate variables, controlled for age and gender. Results: A model including EEG seizure duration, EEG regularity, post-ictal suppression, age and gender and randomization status was significantly predictive of intent-to-treat responder status at treatment 2 (R2 = .21 p < .003; N = 66) and treatment 4 (R2 = .27 p < .0004; N = 67). The model remained significant at these time points even when randomization status (titrated moderately suprathreshold vs. high fixed dosage) was removed (Treatment 2: R2 = .18 p < .007; Treatment 4: R2 = .23 p < .0007). Conclusion: EEG markers of seizure adequacy, including EEG seizure duration, are modestly predictive of antidepressant response for both titrated moderately suprathreshold and high fixed dosage RUL ECT.

Original languageEnglish (US)
Pages (from-to)85-91
Number of pages7
JournalJournal of Affective Disorders
Volume112
Issue number1-3
DOIs
StatePublished - Jan 1 2009
Externally publishedYes

Fingerprint

Electroconvulsive Therapy
Antidepressive Agents
Seizures
Electroencephalography
Random Allocation
Logistic Models
Stroke
Therapeutics

Keywords

  • Antidepressant response
  • Depression
  • ECT
  • Electroconvulsive therapy
  • Major depression
  • ROC curves
  • Seizure duration
  • Seizure threshold

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

Prediction of antidepressant response in both 2.25 × threshold RUL and fixed high dose RUL ECT. / Kimball, James N.; Rosenquist, Peter B.; Dunn, Aaron; McCall, William Vaughn.

In: Journal of Affective Disorders, Vol. 112, No. 1-3, 01.01.2009, p. 85-91.

Research output: Contribution to journalArticle

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abstract = "Some forms of electroconvulsive therapy (ECT) can result in generalized seizures that lack efficacy, therefore physiological markers of treatment adequacy would be helpful. EEG measures of seizure quality, such as EEG regularity and post-ictal suppression, have largely supplanted seizure duration as a marker for seizure adequacy, yet no predictive algorithm has gained wide clinical acceptance. Electrographic seizure durations of less than 25 s still prompt re-stimulation in many settings. We re-examined the utility of EEG seizure duration and other measures of EEG seizure as predictors of antidepressant response to right unilateral (RUL) ECT. Methods: Seventy-two adult patients with major depression were randomized to either titrated RUL ECT at 2.25 times initial seizure threshold or RUL ECT at a fixed dose of 403 mC. Intent-to-treat responder status (defined by 60{\%} reduction in HRSD scores and final score of 12 or less after the last RUL ECT session) was identified as the dependent variable in a nominal logistic regression model including EEG seizure quality candidate variables, controlled for age and gender. Results: A model including EEG seizure duration, EEG regularity, post-ictal suppression, age and gender and randomization status was significantly predictive of intent-to-treat responder status at treatment 2 (R2 = .21 p < .003; N = 66) and treatment 4 (R2 = .27 p < .0004; N = 67). The model remained significant at these time points even when randomization status (titrated moderately suprathreshold vs. high fixed dosage) was removed (Treatment 2: R2 = .18 p < .007; Treatment 4: R2 = .23 p < .0007). Conclusion: EEG markers of seizure adequacy, including EEG seizure duration, are modestly predictive of antidepressant response for both titrated moderately suprathreshold and high fixed dosage RUL ECT.",
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