Liselotte Gezels, Linda Van Diermen, Violette Coppens, Jean-Baptiste Belge, Liese Van den Eynde, Shauni Verspecht, Simon Lambrichts, Lennart Gistelinck, Tom Birkenhäger, Pascal Sienaert, Didier Schrijvers
{"title":"抑郁严重程度自我评估指导维持电痉挛治疗期间复发潜在分层。","authors":"Liselotte Gezels, Linda Van Diermen, Violette Coppens, Jean-Baptiste Belge, Liese Van den Eynde, Shauni Verspecht, Simon Lambrichts, Lennart Gistelinck, Tom Birkenhäger, Pascal Sienaert, Didier Schrijvers","doi":"10.1016/j.jad.2025.119931","DOIUrl":null,"url":null,"abstract":"<p><p>The severity of major depressive disorder (MDD) is crucial in guiding treatment decisions for electroconvulsive therapy (ECT), particularly given the high relapse rates post-ECT. Maintenance-ECT (M-ECT) has emerged as a key strategy to prevent relapse, with recent trends favouring symptom-driven approaches. This study explores the use of self-report scales as an adjunct to clinician-rated assessments in M-ECT decision-making, focusing on the Clinician-Rated 30-item Inventory of Depressive Symptomatology (IDS-C) and its self-report version (IDS-SR). In the Preventing Relapse After Successful ECT for Depression (PRASED) study, a subsample of 96 MDD patients were included upon achieving remission after an acute ECT course. Patients were stratified into relapse potential categories based on weekly IDS-C scores, determining the need for zero, one, or two M-ECT sessions the following week. Using five monthly IDS-C and -SR, the scales demonstrated good to excellent agreement, with intraclass correlation coefficients ranging from 0.73 to 0.85 at multiple timepoints during M-ECT. Notably, 81 % of decision-making outcomes were concordant. Also, 16 % would result in patients receiving more ECT sessions based on the IDS-SR than the IDS-C, highlighting some overestimation by self-report scores. These findings indicate that self-assessment of depression severity by IDS-SR is a reliable alternative for clinician-rated measurements during M-ECT. Hence, this reduction of resource burden by self-report could facilitate the widespread implementation of personalised M-ECT, which may improve patient outcomes by reducing relapse rates in MDD. Future research should focus on validating self-report measures as reliable alternatives to clinician assessments in M-ECT to optimize treatment personalization and efficiency.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"119931"},"PeriodicalIF":4.9000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Depression severity self-assessment to guide relapse potential stratification during maintenance ECT.\",\"authors\":\"Liselotte Gezels, Linda Van Diermen, Violette Coppens, Jean-Baptiste Belge, Liese Van den Eynde, Shauni Verspecht, Simon Lambrichts, Lennart Gistelinck, Tom Birkenhäger, Pascal Sienaert, Didier Schrijvers\",\"doi\":\"10.1016/j.jad.2025.119931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The severity of major depressive disorder (MDD) is crucial in guiding treatment decisions for electroconvulsive therapy (ECT), particularly given the high relapse rates post-ECT. Maintenance-ECT (M-ECT) has emerged as a key strategy to prevent relapse, with recent trends favouring symptom-driven approaches. This study explores the use of self-report scales as an adjunct to clinician-rated assessments in M-ECT decision-making, focusing on the Clinician-Rated 30-item Inventory of Depressive Symptomatology (IDS-C) and its self-report version (IDS-SR). In the Preventing Relapse After Successful ECT for Depression (PRASED) study, a subsample of 96 MDD patients were included upon achieving remission after an acute ECT course. Patients were stratified into relapse potential categories based on weekly IDS-C scores, determining the need for zero, one, or two M-ECT sessions the following week. Using five monthly IDS-C and -SR, the scales demonstrated good to excellent agreement, with intraclass correlation coefficients ranging from 0.73 to 0.85 at multiple timepoints during M-ECT. Notably, 81 % of decision-making outcomes were concordant. Also, 16 % would result in patients receiving more ECT sessions based on the IDS-SR than the IDS-C, highlighting some overestimation by self-report scores. These findings indicate that self-assessment of depression severity by IDS-SR is a reliable alternative for clinician-rated measurements during M-ECT. Hence, this reduction of resource burden by self-report could facilitate the widespread implementation of personalised M-ECT, which may improve patient outcomes by reducing relapse rates in MDD. Future research should focus on validating self-report measures as reliable alternatives to clinician assessments in M-ECT to optimize treatment personalization and efficiency.</p>\",\"PeriodicalId\":14963,\"journal\":{\"name\":\"Journal of affective disorders\",\"volume\":\" \",\"pages\":\"119931\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of affective disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jad.2025.119931\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of affective disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jad.2025.119931","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Depression severity self-assessment to guide relapse potential stratification during maintenance ECT.
The severity of major depressive disorder (MDD) is crucial in guiding treatment decisions for electroconvulsive therapy (ECT), particularly given the high relapse rates post-ECT. Maintenance-ECT (M-ECT) has emerged as a key strategy to prevent relapse, with recent trends favouring symptom-driven approaches. This study explores the use of self-report scales as an adjunct to clinician-rated assessments in M-ECT decision-making, focusing on the Clinician-Rated 30-item Inventory of Depressive Symptomatology (IDS-C) and its self-report version (IDS-SR). In the Preventing Relapse After Successful ECT for Depression (PRASED) study, a subsample of 96 MDD patients were included upon achieving remission after an acute ECT course. Patients were stratified into relapse potential categories based on weekly IDS-C scores, determining the need for zero, one, or two M-ECT sessions the following week. Using five monthly IDS-C and -SR, the scales demonstrated good to excellent agreement, with intraclass correlation coefficients ranging from 0.73 to 0.85 at multiple timepoints during M-ECT. Notably, 81 % of decision-making outcomes were concordant. Also, 16 % would result in patients receiving more ECT sessions based on the IDS-SR than the IDS-C, highlighting some overestimation by self-report scores. These findings indicate that self-assessment of depression severity by IDS-SR is a reliable alternative for clinician-rated measurements during M-ECT. Hence, this reduction of resource burden by self-report could facilitate the widespread implementation of personalised M-ECT, which may improve patient outcomes by reducing relapse rates in MDD. Future research should focus on validating self-report measures as reliable alternatives to clinician assessments in M-ECT to optimize treatment personalization and efficiency.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.