首页> 外文期刊>Journal of opioid management >Long-term opioid users with chronic noncancer pain: Assessment of opioid abuse risk and relationship with healthcare resource use.
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Long-term opioid users with chronic noncancer pain: Assessment of opioid abuse risk and relationship with healthcare resource use.

机译:具有慢性非癌症患者的长期阿片类药物:评估阿片类药物滥用风险和医疗资源使用的关系。

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摘要

Identify opioid abuse risk factors among chronic noncancer pain (CNCP) patients receiving long-term opioid therapy and assess healthcare resource use (HRU) among patients at elevated abuse risk. Data were obtained from an integrated administrative claims database. Classification and Regression Tree (CART) analysis identified risk factors potentially predictive of opioid abuse, which were used to classify the overall population into cohorts defined by levels of abuse risk. Multivariable logistic regression compared HRU across risk cohorts. Retrospective cohort study. 21,072 patients aged ≥18 years diagnosed with ≥1 of 5 types of CNCP and a prescription for Schedule II or III/IV opioid medication used long-term (≥90 days). (1) Opioid abuse risk factors; (2) HRU differences between risk cohorts. CART analysis identified four groups at elevated opioid abuse risk defined by three factors (age, daily opioid dose, and total days' supply of opioids); sensitivity: 70.3 percent, specificity: 74.1 percent, and positive predictive value: 5.6 percent. The analysis results were used to classify patients into low-risk (72.5 percent), at-risk (25.4 percent), and opioid-abuser (2.2 percent) cohorts. In multivariable analysis, emergency department (ED) use was higher among at-risk vs low-risk patients (odds ratio [OR]: 1.14; p<0.05); hospitalization and ED visits were higher for opioid-abusers vs low-risk patients (OR: 2.33 and 2.14, respectively; p<0.05). This study identifies a subpopulation of CNCP patients at risk of opioid abuse. However, limited sensitivity and specificity of criteria defining this subpopulation reinforce the importance of physician discretion in patient-level treatment decisions.
机译:鉴定接受长期阿片类药物治疗的慢性非癌症疼痛(CNCP)患者的阿片类药物滥用危险因素,并在滥用滥用风险上评估患者的医疗资源使用(HRU)。从集成的管理索赔数据库获得数据。分类和回归树(购物车)分析确定了潜在的危险因素,可能预测阿片类药物滥用,用于将整体人口分类为由滥用风险水平定义的群组。多变量逻辑回归与风险队列的HRU比较。回顾性队列研究。 21,072名患者≥18岁,诊断≥1种5种CNCP,以及时间表II或III / IV阿片类药物的处方使用长期(≥90天)。 (1)阿片类药物滥用风险因素; (2)风险队列之间的HRU差异。推车分析确定了三个因素(年龄,日常阿片类药物和总日)阿片类药物(年龄,日常阿片类药物和总日)所定义的升高的阿片类药物滥用风险。敏感度:70.3%,特异性:74.1%,阳性预测值:5.6%。分析结果用于将患者分类为低风险(72.5%),风险(25.4%)和阿片类药物(2.2%)队列。在多变量分析中,急诊部(ED)在风险方面的使用较低,低风险患者(赔率比[或]:1.14; P <0.05);适用于阿片类药物的住院和ED访问较低,低风险患者(分别为:2.33和2.14; P <0.05)。本研究鉴定了有患有阿片类药物滥用风险的CNCP患者的亚型。然而,定义该亚居民的标准的有限敏感性和特异性强化了医生在患者级治疗决策中酌情酌情的重要性。

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