ArticleEuropean archives of psychiatry and clinical neuroscience2019
A novel seizure quality index based on ictal parameters for optimizing clinical decision-making in electroconvulsive therapy. Part 2: Validation.
Article in European archives of psychiatry and clinical neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ictal electroencephalography and heart rate as treatment criteria in electroconvulsive therapy: a systematic review of the literature.European archives of psychiatry and clinical neuroscience · 2026Pooled it
- Biomarkers of Bipolar Disorder in Late Life: An Evidence-Based Systematic Review.Current psychiatry reports · 2024Pooled it
- Age and First Seizure Length in Electroconvulsive Therapy.JAMA network open · 2025Article
- Machine learning based seizure classification and digital biosignal analysis of ECT seizures.Scientific reports · 2025Article
- Optimizing anesthesia depth to enhance seizure quality during electroconvulsive therapy in major depressive disorder.World journal of psychiatry · 2024Article
- Electroconvulsive therapy efficacy in adolescents with mental illness: A retrospective comparison.Frontiers in psychiatry · 2022Article
- Factors Predicting Ictal Quality in Bilateral Electroconvulsive Therapy Sessions.Brain sciences · 2021Article
- Empirical ratio of the combined use of S-ketamine and propofol in electroconvulsive therapy and its impact on seizure quality.European archives of psychiatry and clinical neuroscience · 2021Article
- The novel seizure quality index for the antidepressant outcome prediction in electroconvulsive therapy: association with biomarkers in the cerebrospinal fluid.European archives of psychiatry and clinical neuroscience · 2020Article
- Overlooking the obvious? Influence of electrolyte concentrations on seizure quality parameters in electroconvulsive therapy.European archives of psychiatry and clinical neuroscience · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
Early identification of patients who are at a high risk for an unfavorable outcome to ECT during the treatment course might be beneficial because it provides an opportunity for timely intensification or optimization of stimulus conditions. We aimed to validate a previously developed seizure quality index (SQI) that delivers a clinically relevant outcome prediction early in the treatment course and can be used within common clinical setting. Therefore, a prospective study was conducted. Patients (n = 26) below the age of 65 years with a depressive episode and the clinical decision for ECT (right unilateral, brief pulse) were included and several ictal parameters, the SQI for non-response and non-remission, and the clinical outcome of the patients were documented. Logistic regression analysis revealed a statistically significant association between the SQI and non-response (p = 0.035). A significant association between the clinical outcome of non-response and the classified outcome of non-response was detected (p = 0.041). The overall classification accuracy regarding response/non-response was 71.3%, and the model revealed a sensitivity of 84.6% and a specificity of 61.5% for non-response. In this study, we could validate the SQI for the clinical outcome of non-response, but not for non-remission. Based on our data, the SQI might become an interesting clinical tool for early outcome prediction for ECT in patients with depression.
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