Dong Yu, Fan Baochao, Yan Enliang, Chen Rouhao, Wei Xiaojing, Zhan Jie, Zeng Jingchun, Wen Hao, Lu Liming
Clinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
School of Artificial Intelligence, South China Normal University, Guangzhou, China.
Front Neurol. 2022 Oct 6;13:956255. doi: 10.3389/fneur.2022.956255. eCollection 2022.
Patients with MMT often face difficulties such as sleep disturbance, headaches, and difficulty in complete abstinence from drugs. Research has shown that acupuncture can mitigate side effects while attenuating methadone dependence. It also has a synergistic and attenuated effect on methadone maintenance treatment (MMT). Exploring the predictors of the efficacy of acupuncture intervention in MMT might help clinicians and patients promote acupuncture-assisted participation in MMT, and improve clinical treatment strategies for MMT.
To describe the effect of potential predictors on MMT after acupuncture intervention by building a decision-tree model of data from .
In this randomized controlled trial, 135 patients with MMT underwent acupuncture at the Substance Dependence Department of Guangzhou Huiai Hospital in Guangzhou, Guangdong Province, China.
A total of 135 patients were 1:1 randomly assigned to either an acupuncture plus routine care group (acupuncture plus methadone) or a routine group (methadone only) for 6 weeks, and followed up for 10 weeks. Sex, age, education level, route of previous opioid use, years of opioid use, and MMT time were recorded before the trial.
All analyses were based on the intention-to-treat (ITT) population. The two decision tree models used the change of methadone dosage and the VAS score for opioid desire as response variables, respectively, and the evaluation criteria were positive effect (decreased by ≥20%) and no effect (decreased by <20%, or increased). We generated the respective feature weights for the decision tree and evaluated the model's accuracy and performance by Precision-Recall.
The overall accuracy of methadone reduction and psychological craving VAS scoring decision trees were 0.63 and 0.74, respectively. The Methadone Dosage Efficacy decision tree identified years of opioid use (weight = 0.348), acupuncture (weight = 0.346), and route of previous opioid use (weight = 0.162) as key features. For the VAS Score decision tree, acupuncture (weight = 0.618), MMT time (weight = 0.235), and age (weight = 0.043) were the important features.
Exploratory decision tree analysis showed that acupuncture, years of opioid use, route of previous opioid use, MMT time, and age were key predictors of the MMT treatment. Thus, acupuncture-assisted MMT strategy should consider the relevant influencing factors mentioned above.
Understanding patient characteristics and the impact of acupuncture regimens on methadone dosage reduction in MMT patients may help physicians determine the best treatment regimen for patients. An analysis of data from our clinical trial showed that acupuncture, years of opioid use, route of previous opioid use, age, and MMT time were key predictors of progressive recovery in patients with MMT. Eligible patients may benefit most from the MMT rehabilitation that reduces consumption and psychological cravings for methadone.
http://www.chictr.org.cn/index.aspx, identifier: ChiCTR1900026357.
美沙酮维持治疗(MMT)患者常面临睡眠障碍、头痛以及难以完全戒除毒品等问题。研究表明,针刺可减轻副作用,同时减弱对美沙酮的依赖。针刺对美沙酮维持治疗还具有协同和减毒作用。探索针刺干预MMT疗效的预测因素,可能有助于临床医生和患者促进针刺辅助参与MMT,并改善MMT的临床治疗策略。
通过构建来自……数据的决策树模型,描述针刺干预后潜在预测因素对MMT的影响。
设计、设置与参与者:在这项随机对照试验中,135例MMT患者在中国广东省广州市广州医科大学附属脑科医院物质依赖科接受针刺治疗。
135例患者按1:1随机分为针刺加常规护理组(针刺加美沙酮)或常规组(仅美沙酮),治疗6周,并随访10周。试验前记录性别、年龄、教育程度、既往使用阿片类药物的途径、使用阿片类药物的年限以及MMT时间。
所有分析均基于意向性治疗(ITT)人群。两个决策树模型分别以美沙酮剂量变化和阿片类药物渴求视觉模拟量表(VAS)评分作为反应变量,评估标准为有效(降低≥20%)和无效(降低<20%或升高)。我们生成决策树各自的特征权重,并通过精确率-召回率评估模型的准确性和性能。
美沙酮减量和心理渴求VAS评分决策树的总体准确率分别为0.63和0.74。美沙酮剂量疗效决策树将使用阿片类药物的年限(权重 = 0.348)、针刺(权重 = 0.346)和既往使用阿片类药物的途径(权重 = 0.162)确定为关键特征。对于VAS评分决策树,针刺(权重 = 0.618)、MMT时间(权重 = 0.235)和年龄(权重 = 0.043)是重要特征。
探索性决策树分析表明,针刺、使用阿片类药物的年限、既往使用阿片类药物的途径、MMT时间和年龄是MMT治疗的关键预测因素。因此,针刺辅助MMT策略应考虑上述相关影响因素。
了解患者特征以及针刺方案对MMT患者美沙酮减量的影响,可能有助于医生为患者确定最佳治疗方案。对我们临床试验数据的分析表明,针刺、使用阿片类药物的年限、既往使用阿片类药物的途径、年龄和MMT时间是MMT患者逐步康复的关键预测因素。符合条件的患者可能从减少美沙酮消耗和心理渴求的MMT康复治疗中获益最大。