通讯作者: 郁玲, shanji93537@163.com

DOI：10.12201/bmr.202501.00062

The guiding significance of quantitative EEG parameters in adjusting treatment plans for Alzheimers disease

• 摘要：摘要目的 研究定量脑电参数对阿尔茨海默病（AD）治疗方案调整的指导意义。方法 选取2023年1月～2024年1月于我院就诊的AD患者150例作为研究组、150例健康人作为健康组，使用美国Nicolet公司脑电图仪检查获得定量脑电参数δ+θ与α+β功率比值（DTABR），比较健康组与研究组定量脑电参数DTABR差异，并分析不同AD患者定量脑电参数DTABR差异。所有AD患者均根据病情严重程度使用药物和（或）非药物疗法方案治疗，比较不同临床疗效患者定量脑电参数DTABR差异，分析影响AD患者治疗方案无效的危险因素及DTABR预测AD患者治疗疗效的效能。另外以2024年5月～6月于我院接受治疗的患者作为验证对象，根据ROC曲线所获得的DTABR预测AD患者治疗疗效的截断值分为治疗方案调整组60例和治疗方案维持组60例，比较两组临床疗效。结果 研究组DTABR高于健康组（P＜0.05）。随着AD患者病情严重程度的增加，DTABR逐渐升高，即重度、中度患者DTABR高于轻度患者，重度患者DTABR高于中度患者（P＜0.05）。Logistic回归分析显示，年龄、病程、病情严重程度、DTABR均是AD患者治疗方案治疗无效的危险因素（P＜0.05）。绘制ROC曲线分析发现，与年龄、病程、病情严重程度等影响AD患者治疗疗效的因素比较，DTABR预测AD患者治疗疗效的灵敏度、特异度明显升高，即值为8.94时获得最佳预测效能，灵敏度、特异度分别为87.75%、82.12%。进一步分析发现，DTABR与年龄、病程、病情严重程度等因素联合AD患者治疗疗效的效能最优，明显优于单一因素预测，即灵敏度、特异度分别为93.50%、85.46%。结论 定量脑电参数DTABR与AD患者治疗疗效有一定关联，可用于治疗方案的调整，对治疗方案具有指导意义。

  关键词： 阿尔茨海默病；定量脑电参数；治疗方案；临床疗效; ; ; 

   

  Abstract: AbstractObjective The guiding significance of studying quantitative EEG parameters for adjusting treatment plans for Alzheimers disease (AD). Methods 150 AD patients who visited our hospital from January 2023 to January 2024 were selected as the study group, and 150 healthy individuals were selected as the healthy group. The quantitative electroencephalogram parameters (DTABR) of δ+θ and α+β power ratio (DTABR) were obtained using Nicolet companys electroencephalograph in the United States. The differences in quantitative EEG parameters DTABR between the healthy group and the study group were compared, and the differences in quantitative EEG parameters DTABR among different AD patients were analyzed. All AD patients were treated with medication and/or non medication therapy based on the severity of their condition. The differences in quantitative EEG parameters (DTABR) among patients with different clinical efficacy were compared, and the risk factors affecting the ineffectiveness of AD treatment plans and the efficacy of DTABR in predicting the treatment efficacy of AD patients were analyzed. In addition, patients who received treatment in our hospital from May to June 2024 were used as validation subjects. According to the cutoff value of DTABR obtained from the ROC curve, the predicted treatment efficacy of AD patients was divided into a treatment plan adjustment group of 60 cases and a treatment plan maintenance group of 60 cases, and the clinical efficacy of the two groups was compared. Results The DTABR of the research group was higher than that of the healthy group (P<0.05). As the severity of AD patients increases, DTABR gradually increases, with severe and moderate patients having higher DTABR than mild patients, and severe patients having higher DTABR than moderate patients (P<0.05). Logistic regression analysis showed that age, disease duration, severity of illness, and DTABR were all risk factors for ineffective treatment in AD patients (P<0.05). By plotting ROC curves, it was found that compared with factors such as age, disease duration, and severity that affect the treatment efficacy of AD patients, DTABR showed significantly higher sensitivity and specificity in predicting the treatment efficacy of AD patients. The optimal predictive power was obtained when the value was 8.94, with sensitivity and specificity of 87.75% and 82.12%, respectively. Further analysis revealed that the combination of DTABR and factors such as age, disease duration, and severity had the best therapeutic effect on AD patients, significantly better than single factor prediction, with sensitivity and specificity of 93.50% and 85.46%, respectively. Conclusion There is a certain correlation between quantitative EEG parameters DTABR and the therapeutic efficacy of AD patients, which can be used for adjusting treatment plans and has guiding significance for treatment plans.

  Key words: Alzheimers disease; Quantitative EEG parameters; Treatment plan; Clinical efficacy

  提交时间：2025-01-21

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
• html

• 图表

• 陈佳琦, 向红英, 凌迎春. 脑电图定量参数、血清miR-146a-5p对阿尔茨海默病患者认知功能障碍的预测价值分析. 2024. doi: 10.12201/bmr.202412.00027

  李筱琳, 隋欣, 宋娟, 包亚男, 林宇, 满子腾, 程甜甜, 杨宏艳. 基于WGCNA鉴定阿尔茨海默病的衰老关键基因. 2024. doi: 10.12201/bmr.202407.00036

  魏贤振, 王海云, 丁以山, 陈朝蔚. 电针手法治疗膝骨关节炎的临床疗效-价值分析. 2024. doi: 10.12201/bmr.202412.00030

  张颖, 王业流, 周淑萍. 艾司奥美拉唑联合荜铃胃痛颗粒治疗EPS的临床疗效与安全性研究. 2025. doi: 10.12201/bmr.202501.00052

  袁胜超, 谭志超, 李征, 林馥纯, 吴云飞. 四柱理念治疗SchatzkerⅠ-Ⅳ型胫骨平台骨折的临床疗效观察. 2024. doi: 10.12201/bmr.202411.00018

  王可欣, 张少强. 不同功效组合的中药复方联合常规西药治疗冠心病合并抑郁的网状Meta 分析. 2024. doi: 10.12201/bmr.202410.00055

  孙姚承, 汤建军, 张伟元, 刘传磊. 结直肠癌患者检测治疗前血D-二聚体和CEA的临床意义. 2024. doi: 10.12201/bmr.202409.00023

  徐慧颖, 王向明. 功能整体性教学在慢性肾脏病临床带教中的应用. 2024. doi: 10.12201/bmr.202406.00016

  许林敏, 陈新艳, 郭芳, 李玮, 陈海棠. 单孔腹腔镜术在卵巢囊肿治疗中的疗效观察. 2024. doi: 10.12201/bmr.202410.00071

  段磊, 张翔, 张研. 按病种的疾病诊疗难度测度及应用研究. 2024. doi: 10.12201/bmr.202403.00007

• 序号	提交日期	编号	操作
  1	2024-11-28	bmr.202501.00062V1	下载

• 公开评论  匿名评论  仅发给作者 提交评论