Depression severity self-assessment to guide relapse potential stratification during maintenance ECT.

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY
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
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Abstract

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.

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。
重度抑郁症(MDD)的严重程度对于指导电休克治疗(ECT)的治疗决策至关重要,特别是考虑到ECT后的高复发率。维持- ect (M-ECT)已成为预防复发的关键策略,最近的趋势是倾向于症状驱动的方法。本研究探讨了在M-ECT决策中使用自我报告量表作为临床评定评估的辅助手段,重点研究了临床评定的30项抑郁症状量表(IDS-C)及其自我报告版本(IDS-SR)。在预防成功电痉挛治疗抑郁症后复发(PRASED)研究中,96名重度抑郁症患者在急性电痉挛治疗后获得缓解。根据每周IDS-C评分,将患者分为复发可能性类别,确定接下来一周是否需要进行零次、一次或两次M-ECT治疗。使用5个月的IDS-C和-SR,量表显示出良好到极好的一致性,在M-ECT期间的多个时间点上,类内相关系数从0.73到0.85不等。值得注意的是,81% %的决策结果是一致的。此外,16% %将导致患者接受基于IDS-SR比IDS-C更多的ECT疗程,突出了自我报告分数的一些高估。这些发现表明,在M-ECT期间,用IDS-SR对抑郁严重程度进行自我评估是一种可靠的替代方法。因此,通过自我报告减少资源负担可以促进个性化M-ECT的广泛实施,这可能通过减少重度抑郁症的复发率来改善患者的预后。未来的研究应侧重于验证自我报告测量作为M-ECT临床医生评估的可靠替代方案,以优化治疗的个性化和效率。
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来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
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.
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