Age-Dependent Efficacy of Electroconvulsive Therapy in Depression: A Longitudinal Study of Symptom Trajectories and Treatment Predictions

IF 2.6 3区 心理学 Q2 BEHAVIORAL SCIENCES
Wanling Huang, Yang Ji, Nanxue Duan, Hao Zheng, Rui Qian, Kai Wang, Jianhong Li, Yanghua Tian
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引用次数: 0

Abstract

Background

The variability in electroconvulsive therapy (ECT) efficacy for depression has received significant attention, particularly regarding the influence of age on treatment outcomes. However, studies examining the trajectory of ECT efficacy across different age groups remain limited.

Methods

This longitudinal study analyzed 1056 intensive longitudinal data measurements from 132 hospitalized patients diagnosed with major depressive episodes, categorized into a young group (<30 years, n = 69) and an older group (≥30 years, n = 63). Depression severity was assessed using the Hamilton Depression Rating Scale-17 (HAMD-17) at baseline and within 24 h after each ECT session, with data collected for up to eight treatments. Statistical analyses included linear mixed-effects model (LMM), survival analysis, and linear regression to evaluate the impact of age on ECT efficacy, the predictive ability of depression scores, and differences in symptom dimension improvements (core depressive symptoms, anxiety, insomnia, and somatic symptoms).

Results

LMM analysis revealed that each ECT session significantly reduced total HAMD-17 scores (β = −2.166, p < 0.001), with greater improvement observed in the older group (β = 0.463, p < 0.001). Symptom dimension analysis showed significant reductions in core depressive symptoms, anxiety, insomnia, and somatic symptoms, with greater improvement in anxiety and somatic symptoms in older patients. Kaplan–Meier analysis showed that the older group achieved remission with fewer sessions than the younger group (median: 5 vs. 7, χ2 = 4.100, p = 0.042). However, Cox regression identified baseline HAMD-17 scores (hazards ratio [HR] = 0.945, 95% confidence interval [CI]: 0.914–0.977, p = 0.001) and the use of serotonin–norepinephrine reuptake inhibitors (HR = 1.52, 95% CI: 1.075–2.151, p = 0.018) as significant predictors of remission, thereby eliminating the initial group difference. In the older group, both baseline and first post-ECT HAMD-17 scores predicted the number of sessions required (R2 = 0.125, p = 0.016; R2 = 0.134, p = 0.017), whereas in the younger group, only first post-ECT scores were predictive (R2 = 0.282, p = 0.001).

Conclusion

Age significantly influences ECT efficacy and the prediction of treatment requirements, with older patients exhibiting better responsiveness. Initial depression scores effectively predict the number of treatments required, supporting the need for age-specific, personalized ECT treatment strategies.

Abstract Image

抑郁症电休克治疗的年龄依赖性疗效:症状轨迹和治疗预测的纵向研究
背景电痉挛治疗(ECT)对抑郁症疗效的可变性受到了极大的关注,特别是关于年龄对治疗结果的影响。然而,检查ECT在不同年龄组疗效轨迹的研究仍然有限。方法本纵向研究分析了132例诊断为重度抑郁发作的住院患者的1056项密集纵向数据测量,分为年轻组(30岁,n = 69)和老年组(≥30岁,n = 63)。在基线和每次ECT治疗后24小时内,使用汉密尔顿抑郁评定量表-17 (HAMD-17)评估抑郁严重程度,并收集多达8次治疗的数据。统计分析包括线性混合效应模型(LMM)、生存分析和线性回归,以评估年龄对ECT疗效的影响、抑郁评分的预测能力以及症状维度改善(核心抑郁症状、焦虑、失眠和躯体症状)的差异。结果LMM分析显示,每次ECT治疗显著降低HAMD-17总分(β = - 2.166, p <;0.001),老年组改善更大(β = 0.463, p <;0.001)。症状维度分析显示核心抑郁症状、焦虑、失眠和躯体症状显著减少,老年患者的焦虑和躯体症状改善更大。Kaplan-Meier分析显示,老年组获得缓解的疗程少于年轻组(中位数:5 vs. 7, χ2 = 4.100, p = 0.042)。然而,Cox回归发现基线HAMD-17评分(危险比[HR] = 0.945, 95%可信区间[CI]: 0.914-0.977, p = 0.001)和血清素-去甲肾上腺素再摄取抑制剂的使用(危险比[HR] = 1.52, 95% CI: 1.075-2.151, p = 0.018)是缓解的显著预测因子,从而消除了初始组差异。在老年组中,基线和第一次ect后HAMD-17评分都预测了所需的治疗次数(R2 = 0.125, p = 0.016;R2 = 0.134, p = 0.017),而在年轻人中,只有第一次ect后评分具有预测性(R2 = 0.282, p = 0.001)。结论年龄对ECT疗效和治疗需求预测有显著影响,年龄越大患者反应性越好。初始抑郁评分可以有效预测所需治疗的次数,支持针对特定年龄、个性化的ECT治疗策略的需求。
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来源期刊
Brain and Behavior
Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES
CiteScore
5.30
自引率
0.00%
发文量
352
审稿时长
14 weeks
期刊介绍: Brain and Behavior is supported by other journals published by Wiley, including a number of society-owned journals. The journals listed below support Brain and Behavior and participate in the Manuscript Transfer Program by referring articles of suitable quality and offering authors the option to have their paper, with any peer review reports, automatically transferred to Brain and Behavior. * [Acta Psychiatrica Scandinavica](https://publons.com/journal/1366/acta-psychiatrica-scandinavica) * [Addiction Biology](https://publons.com/journal/1523/addiction-biology) * [Aggressive Behavior](https://publons.com/journal/3611/aggressive-behavior) * [Brain Pathology](https://publons.com/journal/1787/brain-pathology) * [Child: Care, Health and Development](https://publons.com/journal/6111/child-care-health-and-development) * [Criminal Behaviour and Mental Health](https://publons.com/journal/3839/criminal-behaviour-and-mental-health) * [Depression and Anxiety](https://publons.com/journal/1528/depression-and-anxiety) * Developmental Neurobiology * [Developmental Science](https://publons.com/journal/1069/developmental-science) * [European Journal of Neuroscience](https://publons.com/journal/1441/european-journal-of-neuroscience) * [Genes, Brain and Behavior](https://publons.com/journal/1635/genes-brain-and-behavior) * [GLIA](https://publons.com/journal/1287/glia) * [Hippocampus](https://publons.com/journal/1056/hippocampus) * [Human Brain Mapping](https://publons.com/journal/500/human-brain-mapping) * [Journal for the Theory of Social Behaviour](https://publons.com/journal/7330/journal-for-the-theory-of-social-behaviour) * [Journal of Comparative Neurology](https://publons.com/journal/1306/journal-of-comparative-neurology) * [Journal of Neuroimaging](https://publons.com/journal/6379/journal-of-neuroimaging) * [Journal of Neuroscience Research](https://publons.com/journal/2778/journal-of-neuroscience-research) * [Journal of Organizational Behavior](https://publons.com/journal/1123/journal-of-organizational-behavior) * [Journal of the Peripheral Nervous System](https://publons.com/journal/3929/journal-of-the-peripheral-nervous-system) * [Muscle & Nerve](https://publons.com/journal/4448/muscle-and-nerve) * [Neural Pathology and Applied Neurobiology](https://publons.com/journal/2401/neuropathology-and-applied-neurobiology)
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