首页> 外文期刊>The Internet Journal of Pain, Symptom Control and Palliative Care >Predicting Opioid-Dependence Using Pain Intensity And Length Of Pain Suffering In Pre-Spine-Surgery Patients
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Predicting Opioid-Dependence Using Pain Intensity And Length Of Pain Suffering In Pre-Spine-Surgery Patients

机译:使用疼痛强度和疼痛时间在脊柱手术前患者中预测阿片类药物依赖性

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Introduction: The purpose of this study was to evaluate the diagnostic value of pain intensity and length of pain suffering as OD markers. Methods 150 patients pre-spine-surgery who were on opioids were questioned preoperatively to determine OD based on the WHO guidelines. Logistic regression analysis was used to identify the most significant factors-predictors of OD status in pre-spine-surgery patients. Sensitivity, specificity, positive and negative predictive values (PPV, NPV) and efficiency for different pain-related parameters were calculated in accordance with standard formulas. Receiver operating characteristic (ROC) curves were obtained using SPSS. Results 30 (20%) patients met the WHO criteria for OD. We excluded those with missing pain data and out of 132 pre-spine-surgery patients 29 (22%) were OD. Using logistic regression analysis we proved that pain-related parameters were the only significant predictors of OD status in pre-spine-surgery patients with WRI showing the highest significance (p=0.003). Other variables like type of surgery, gender, race and number of previous spine surgeries showed no significance. Sensitivity and specificity for pain intensity ≥8 were 76% and 45% respectively. PPV, NPV and efficiency were 28%, 80% and 52% respectively. Sensitivity and specificity for ≥24 months pain suffering were 48% and 57% respectively. PPV, NPV and efficiency were 24%, 80% and 55% respectively. The average value of the WR index for OD patients was 660. Sensitivity and specificity for the WR index ≥660 were 34% and 92% respectively. PPV, NPV and efficiency were 56%, 83% and 80% respectively. The WR index ROC curve most closely followed the left-hand border. Conclusions Chronic pain and prolonged use of opioids raise the risk of OD in pre-spine-surgery patients to 20-22%. Pain-related parameters are significant predictors of OD status in this category of patients. On the other hand, pain intensity ≥8 and length of pain suffering ≥24 months do not have sufficiently high sensitivity and specificity. The WR index ≥660 has a very high specificity as marker for OD. It also proved to be the most accurate/efficient. However, the low positive predictive values for all these parameters make them unreliable as screening markers for OD in pre-spine-surgery patients. Introduction Predicting opioid-dependence (OD) in patients with chronic nonmalignant pain is a clinical challenge to clinicians. To date, most decisions about opioid prescriptions and patients' behaviors are based on unexamined or erroneous assumptions, without empirically validated guidelines or markers. A biopsychosocial approach1 to this problem has been suggested. It depends on the use of multiple sources of information in multiple areas to gain a comprehensive understanding of the problem. However, with addiction, it is difficult to predict who will go on to develop problems even if the patient does not seem on the initial comprehensive evaluation to be at risk. Continued monitoring can prevent any potential problems that might develop. Fortunately, a patient who has started an opioid medication can be switched, if necessary, to nonopioid alternatives early in the treatment. A screening marker that could help guide a clinician's judgment about who may be at risk for problematic opioid behavior would be of great value. Currently, however, there are virtually no widely used or accepted markers to screen for potential problematic opioid behavior in chronic pain patients. Turk and Okifuji2 examined the factors that influenced a physician's decision to prescribe opioids to patients attending a multidisciplinary pain treatment center. Overt pain behaviors seemed to have the major influence on a physician's decision to prescribe opioids even though patients were comparable with regard to other psyhosocial and physical variables. They also highlighted the fact that opioid medication may serve as a reinforcer for pain behavior such that patients who receive opioids co
机译:简介:这项研究的目的是评估作为OD标记的疼痛强度和疼痛时间的诊断价值。方法对150名接受阿片类药物的脊柱手术前患者进行术前询问,以根据WHO指南确定OD。使用Logistic回归分析确定脊柱手术前患者OD状态的最重要因素-预测因素。根据标准公式计算不同疼痛相关参数的敏感性,特异性,阳性和阴性预测值(PPV,NPV)和效率。使用SPSS获得接收器工作特性(ROC)曲线。结果30名(20%)患者符合WHO的OD标准。我们排除了疼痛数据缺失的患者,在132名脊柱手术前患者中,有29名(22%)为OD。使用逻辑回归分析,我们证明与疼痛相关的参数是WRI脊柱手术前患者中OD状态的唯一重要预测指标,显示出最高的显着性(p = 0.003)。其他变量,如手术类型,性别,种族和先前的脊柱手术数量等均无意义。疼痛强度≥8的敏感性和特异性分别为76%和45%。 PPV,NPV和效率分别为28%,80%和52%。 ≥24个月疼痛痛苦的敏感性和特异性分别为48%和57%。 PPV,NPV和效率分别为24%,80%和55%。 OD患者的WR指数平均值为660。≥660的WR指数敏感性和特异性分别为34%和92%。 PPV,NPV和效率分别为56%,83%和80%。 WR指数ROC曲线最紧随左侧边界。结论慢性疼痛和长期使用阿片类药物会使脊柱手术前患者发生OD的风险增加20-22%。与疼痛相关的参数是此类患者中OD状态的重要预测指标。另一方面,疼痛强度≥8和疼痛时间≥24个月没有足够高的敏感性和特异性。 WR指数≥660作为OD标记具有很高的特异性。它也被证明是最准确/最有效的。然而,所有这些参数的低阳性预测值使它们在脊柱手术前患者的OD筛查指标中不可靠。简介预测慢性非恶性疼痛患者的阿片类药物依赖性(OD)是临床医生面临的临床挑战。迄今为止,关于阿片类药物处方和患者行为的大多数决定都是基于未经检查或错误的假设,没有经过经验验证的指南或标记。已经提出了针对这一问题的生物心理社会学方法1。它取决于在多个领域中使用多种信息源来全面了解问题。但是,由于成瘾,即使患者在最初的综合评估中似乎没有危险,也很难预测谁会继续出现问题。持续监视可以防止可能出现的任何潜在问题。幸运的是,已经开始使用阿片类药物的患者在必要时可以在治疗初期改用非阿片类药物。可以帮助指导临床医生判断谁可能有问题的阿片类药物行为风险的筛选标记将具有重要价值。然而,目前,实际上没有广泛使用或接受的标记物来筛选慢性疼痛患者中潜在的有问题的阿片类药物行为。 Turk和Okifuji2研究了影响医师决定向在多学科疼痛治疗中心就诊的患者开处方阿片类药物的决定的因素。公开的疼痛行为似乎对医生开出阿片类药物的决定具有重大影响,即使患者在其他心理社会和身体变量方面具有可比性。他们还强调了一个事实,阿片类药物可能会增强疼痛行为,使接受阿片类药物的患者

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