首页> 外文期刊>Pain research & management: the journal of the Canadian Pain Society = journal de la socie?te? canadienne pour le traitement de la douleur >An Assessment of Clinically Important Differences on the Worst Pain Severity Item of the Modified Brief Pain Inventory in Patients with Diabetic Peripheral Neuropathic Pain
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An Assessment of Clinically Important Differences on the Worst Pain Severity Item of the Modified Brief Pain Inventory in Patients with Diabetic Peripheral Neuropathic Pain

机译:患有糖尿病外周神经病患者改性简短疼痛库存最严重疼痛严重性项目临床重要差异的评估

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Objectives. Using patient global impression of change (PGIC) as an anchor, an approximately 30% reduction on an 11-point numeric pain intensity rating scale (PI-NRS) is considered a clinically important difference (CID) in pain. Our objective was to define the CID for another pain measure, the worst pain severity (WPS) item of the modified Brief Pain Inventory (m-BPI). Methods. In this post hoc analysis of a double-blind, placebo-controlled, phase 2 study, 452 randomized patients with diabetic peripheral neuropathic pain (DPNP) were followed over 5 weeks, with m-BPI data collected weekly and PGIC at treatment conclusion. Receiver operating characteristic (ROC) curves (via logistic regression) were used to determine the changes in the m-BPI-WPS score that best predicted ordinal clinical improvement thresholds (i.e., “minimally improved” or better) on the PGIC. Results. Similar to the PI-NRS, a change of ?3 (raw) or ?33.3% from the baseline on the m-BPI-WPS optimized prediction for the “much improved” or better PGIC threshold and represents a CID. There was a high correspondence between observed and predicted PGIC categories at each PGIC threshold (ROC AUCs were 0.78–0.82). Conclusions. Worst pain on the m-BPI may be used to assess clinically important improvements in DPNP studies. Findings require validation in larger studies.
机译:目标。使用患者的全局变化(PGIC)作为锚,对11点数值疼痛强度评级(PI-NRS)的约30%降低被认为是临床上重要的差异(CID)。我们的目标是为另一种疼痛措施定义CID,修饰简短的疼痛库存(M-BPI)的最严重的痛苦严重程度(WPS)。方法。在这种后HOC分析双盲,安慰剂控制的第2期研究中,452例随机患有糖尿病外周经神经病疼痛(DPNP)的患者,随访5周,每周收集M-BPI数据和PGIC。接收器操作特征(ROC)曲线(通过逻辑回归)用于确定最佳预测序列改善阈值的M-BPI-WPS评分的变化(即,“,”,“PGIC上的最小化”或更好)。结果。类似于PI-NRS,改变Δ3(原始)或Δ33.3%,从基线上的M-BPI-WPS优化预测“大得多”或更高的PGIC阈值并表示CID。在每个PGIC阈值下观察和预测的PGIC类别之间存在高对应关系(ROC AUC为0.78-0.82)。结论。 M-BPI的最严重的疼痛可用于评估DPNP研究的临床重要改进。调查结果需要验证更大的研究。

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