精神障碍患者改良电休克治疗初始癫痫发作阈值的相关因素分析
Analysis of factors correlating with the initial seizure threshold in modified electroconvulsive therapy for patients with mental disorders
投稿时间:2024-11-01  修订日期:2025-06-16
DOI:
中文关键词:  改良电休克治疗  精神障碍  首次癫痫发作阈值  影响因素
英文关键词:Modified electroconvulsive therapy  mental disorders  initial seizure threshold  Influencing factors
基金项目:精神障碍患者行无抽搐电休克治疗(MECT)首次能量阈值选择的预测研究
作者单位地址
李迎寅 1.济宁医学院 2.山东省戴庄医院 山东省济宁市任城区济戴路1号山东省戴庄医院
杨鹏 山东省戴庄医院 
王美洁 山东省戴庄医院 
时亚杰 山东省戴庄医院 
李燕飞 山东省戴庄医院 
李坤 山东省戴庄医院 
张校明* 山东省戴庄医院 山东省济宁市任城区济戴路1号山东省戴庄医院
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中文摘要:
      背景 改良电休克治疗(MECT)是目前广泛应用于精神科临床一线的一种物理治疗方法,临床上通常根据患者初始癫痫发作阈值(IST)的影响因素对MECT首次最佳刺激剂量进行估计。然而,既往关于IST影响因素的研究多存在样本量局限、研究维度单一等不足。目的 探索精神障碍患者IST的影响因素,以期为精神障碍患者MECT的IST量化选择提供参考。方法 采用回顾性研究,纳入2021年1月1日—2023年8月1日在山东省戴庄医院住院治疗的、符合《国际疾病分类(第10版)》(ICD-10)任一精神障碍诊断标准且接受MECT治疗的患者1 446例,收集其一般资料及临床资料,包括IST、诊断类别、性别、民族、年龄、体质量、体质量指数(BMI)、病程、精神疾病家族史、是否首发、治疗前一天是否服用抗癫痫药物、治疗前一天是否服用苯二氮?类药物以及是否有MECT治疗史。采用Pearson相关性分析考查患者IST与年龄、身高、体质量、BMI、病程的相关性;采用多元线性逐步回归分析考查患者IST的影响因素。结果 ①不同性别、是否首发、治疗前一天是否服用抗癫痫药物、治疗前一天是否服用苯二氮?类药物的患者IST比较,差异均有统计学意义(t=2.256、-3.059、-2.136、-3.006,P<0.05或0.01);不同年龄段、不同诊断类别的患者IST比较,差异均有统计学意义(F=913.120、6.212,P均<0.01)。②在青年人群中,不同诊断类别的患者IST比较,差异有统计学意义(F=2.986,P<0.05)。③相关分析结果显示,患者的IST与年龄、体质量、BMI、病程均呈正相关(r=0.886、0.055、0.184、0.456,P<0.05或0.01),与身高呈负相关(r=-0.183,P<0.01)。④多元线性逐步回归分析结果显示,年龄、性别、体质量是IST的影响因素(β=0.888、-0.049、-0.035,P<0.01)。结论 年龄、性别、体质量可能是精神障碍患者IST的影响因素。
英文摘要:
      Background Modified electroconvulsive therapy (MECT) is a physical therapy widely used in the front line of psychiatric clinics, and the optimal first stimulation dose of MECT is usually estimated clinically based on the factors influencing the patient's initial seizure threshold (IST). However, previous studies on the influencing factors of IST are often characterized by sample size limitations and a single research dimension. Objective Exploring the factors influencing IST in patients with mental disorders to inform the selection of quantitative IST for MECT in patients with mental disorders. Methods A retrospective study was used to include 1,446 patients with mental disorders who were hospitalized and underwent MECT at Daizhuang Hospital, Shandong Province, from January 1, 2021, to August 1, 2023, and who met the ICD-10 diagnostic criteria, and to collect their general and clinical data, including IST, diagnostic category, gender, ethnicity, age, body mass, body mass index (BMI) ), duration of illness, family history of psychiatric disorders, whether or not to debut, whether they were taking antiepileptic drugs on the day before treatment, whether they were taking benzodiazepines on the day before treatment, and whether they had a history of MECT treatment. Pearson correlation analysis was used to examine the correlation between patients' IST and age, height, body mass, BMI, and disease duration; multiple linear stepwise regression analysis was used to examine the factors affecting patients' IST. Results ① There were statistically significant differences in IST among patients with different gender, whether or not to debut, whether taking antiepileptic drugs the day before treatment, and whether taking benzodiazepines the day before treatment (t=2.256, -3.059, -2.136, -3.006, P<0.05 or 0.01). There were statistically significant differences in IST between patients of different ages and different diagnostic categories during MECT (F=913.120, 6.212, P<0.01). ② In young people, there was a significant difference in IST between patients with different diagnostic categories during MECT (F=2.986, P<0.05). ③ Correlation analysis showed that IST was positively correlated with age, body mass, BMI and course of disease (r=0.886, 0.055, 0.184, 0.456, P<0.05 or 0.01), and negatively correlated with height (r=-0.183, P<0.01). ④ Multiple linear stepwise regression analysis showed that age, sex, and body mass were predictors of IST (β=0.888, -0.049, -0.035, P<0.01). Conclusions Factors influencing IST in patients with psychiatric disorders included gender, whether it was the first episode, use of antiepileptic drugs or benzodiazepines on the day before treatment, age, diagnostic category, body mass, BMI, and duration of illness. In young patients, different diagnostic categories had a significant effect on IST. In addition, age, gender, and body mass were predictors of IST.
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