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Seizure Adequacy Markers and the Prediction of Electroconvulsive Therapy Response
Abstract
OBJECTIVES: Electroconvulsive therapy (ECT) is the most effective therapy for patients with treatment-resistant depression; however, some patients do not respond or relapse in a short time. Electroconvulsive therapy stimulus parameters may be related to the outcome. We carried out a retrospective study review to investigate various ECT parameters in relation to the outcome, clinical variables, and pharmacological treatments. Our aim was to understand which factors could be considered putative seizure quality markers and which are relevant to clinical practice. METHODS: Two physicians evaluated the seizure length, the postictal suppression index, the wave amplitude, tachycardia, and hemispheric brain wave synchronicity in a double-blind manner for 45 treatment-resistant depression patients receiving ECT. RESULTS: The analysis showed a significant association between the outcome and the ECT seizure quality measured by the parameters (P = 9.9 × 10). Among patients with poor-quality seizures, 61.5% relapsed after approximately 1 month from the last ECT session. Particularly, there was an association between higher symptomatology decrease and higher quality of hemispheric brain wave synchronicity (P = 5.0 × 10), as well as a higher wave amplitude (P = 0.01). CONCLUSIONS: Our results confirm that ECT seizure quality was strongly correlated with the decrease of depressive symptomatology.
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When predictive values were reported, predictions that a patient would not respond to the specific intervention tested varied, with accurate predictions ranging from 61.5% (total N = 45) to 100% (total N = 21).
“When predictive values were reported, predictions that a patient would not respond to the specific intervention tested varied, with accurate predictions ranging from 61.5% (total N = 45) to 100% (total N = 21) (Micoulaud-Franchi et al., 2012; Minelli et al., 2016).”
From Irremediability in psychiatric euthanasia: examining the objective standard (2023) · cites this paper as Minelli et al., 2016
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Electroconvulsive Therapy for Depression
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When to consider electroconvulsive therapy (ECT)
Kellner, C. H., Obbels, J., & Sienaert, P. (2020) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13134 · Cited by 239
Irremediability in psychiatric euthanasia: examining the objective standard
Nicolini, M. E., Jardas, E., Zarate, C. A., Gastmans, C., & Kim, S. Y. H. (2023) · Psychological Medicine · doi:10.1017/s0033291722002951 · Cited by 31
“When predictive values were reported, predictions that a patient would not respond to the specific intervention tested varied, with accurate predictions ranging from 61.5% (total N = 45) to 100% (total N = 21) (Micoulaud-Franchi et al., 2012; Minelli et al., 2016).”
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Metadata
- Authors
- Minelli, A., Abate, M., Zampieri, E., Gainelli, G., Trabucchi, L., Segala, M., Sartori, R., Gennarelli, M., Conca, A., & Bortolomasi, M.
- Affiliations
- University of Verona (IT)
- Venue
- The Journal of ECT
- Published
- 2016-06
- Volume
- 32
- Issue
- 2
- Pages
- 88-92
- ISSN
- 1095-0680 (ISSN-L)
- OpenAlex
- W2330890684
- Cited by
- 79
- References
- 1
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 6 · 2023: 8 · 2022: 5 · 2021: 4 · 2020: 5 · 2019: 25 · 2018: 12 · 2017: 1 · 2016: 3
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Ect (publishedVersion)
- PubMed (publishedVersion)
- Institutional Research Information System (Università degli Studi di Brescia) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- electroconvulsive therapy, treatment-resistant depression, seizure quality, wave amplitude, tachycardia, depressive symptom reduction, relapse
- MeSH terms
- Adult, Aged, Antidepressive Agents, Combined Modality Therapy, Double-Blind Method, Electroconvulsive Therapy, Electroencephalography, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Psychiatric Status Rating Scales, Recurrence, Seizures, Socioeconomic Factors, Tachycardia, Treatment Outcome, Electroencephalography Phase Synchronization, Depressive Disorder, Treatment-Resistant
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