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Prediction of withdrawal symptoms during opioid detoxification.

机译:阿片类药物排毒期间戒断症状的预测。

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OBJECTIVE: The severity of self-reported withdrawal symptoms varies during detoxification of opioid-dependent patients. The aim of this study is to identify subgroups of withdrawal symptoms within the detoxification trajectory and to predict the severity of withdrawal symptoms on the basis of drug-related and sociodemographic characteristics. DESIGN AND SETTING: A prospective study carried out in an in-patient setting in four addiction treatment centres in the Netherlands. PARTICIPANTS: Two hundred opioid-dependent patients who participated in a randomized controlled trial and completed more than 75 percent of the administrations of the subjective opioid withdrawal scales during rapid detoxification. INTERVENTION AND MAIN OUTCOME MEASURE: Main outcome measure was the severity of opioid withdrawal as measured by the subjective opioid withdrawal scale during detoxification (18 measurements). Predictor baseline data were obtained on sociodemographic background, severity of addiction, psychopathology, personality disorder, and craving. STATISTICS: Those variables found to be statistically significant in univariate analyses were entered into multivariate regression models to predict the severity of subjective withdrawal. RESULTS: No distinct subgroups could be identified despite substantial individual variability throughout the detoxification trajectory. The multiple regression results showed only four variables to predict the severity of withdrawal symptoms: baseline withdrawal symptoms, intravenous heroin use in the last 30 days, anxiety, and cluster C personality disorder. The variance explained by these sociodemographic variables was low while the largest amount of variance was explained by baseline withdrawal symptoms (27percent). CONCLUSIONS: The results of the present study provide evidence that the severity of withdrawal symptoms during detoxification treatment is moderately predicted by the baseline severity of their withdrawal symptoms and not by drug- and patient-related characteristics.
机译:目的:在阿片类药物依赖的患者排毒期间,自我报告的戒断症状的严重程度会有所不同。这项研究的目的是在排毒轨迹中确定戒断症状的亚组,并根据药物相关和社会人口统计学特征预测戒断症状的严重程度。设计与环境:前瞻性研究在荷兰四个成瘾治疗中心的住院环境中进行。参与者:200名阿片类药物依赖性患者参加了一项随机对照试验,并在快速排毒过程中完成了超过75%的主观阿片类药物戒断量。干预和主要观察指标:主要结局指标是在戒毒期间通过主观阿片类药物戒断量表测量的阿片类药物戒断严重程度(18次测量)。在社会人口统计学背景,成瘾的严重程度,心理病理学,人格障碍和渴望方面获得了预测指标的基线数据。统计:在单变量分析中发现具有统计学意义的那些变量被输入到多元回归模型中,以预测主观戒断的严重程度。结果:尽管在整个排毒过程中个体差异很大,但仍没有明确的亚组。多元回归结果显示,只有四个变量可预测戒断症状的严重程度:基线戒断症状,​​最近30天静脉注射海洛因,焦虑症和C群人格障碍。这些社会人口统计学变量解释的方差低,而基线戒断症状解释的方差最大(27%)。结论:本研究的结果提供了证据,表明在戒毒治疗期间戒断症状的严重程度是通过戒断症状的基线严重程度适当预测的,而不是由与药物和患者相关的特征来预测的。

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