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使用视觉模拟评分法测量急性术后疼痛:最小临床重要差异和患者可接受的症状状态。

Measuring acute postoperative pain using the visual analog scale: the minimal clinically important difference and patient acceptable symptom state.

机构信息

Department of Anaesthesia and Perioperative Medicine, Alfred Hospital and Monash University, Melbourne, Victoria, Australia.

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

出版信息

Br J Anaesth. 2017 Mar 1;118(3):424-429. doi: 10.1093/bja/aew466.

Abstract

BACKGROUND

The 100 mm visual analog scale (VAS) score is widely used to measure pain intensity after surgery. Despite this widespread use, it is unclear what constitutes the minimal clinically important difference (MCID); that is, what minimal change in score would indicate a meaningful change in a patient's pain status.

METHODS

We enrolled a sequential, unselected cohort of patients recovering from surgery and used a VAS to quantify pain intensity. We compared changes in the VAS with a global rating-of-change questionnaire using an anchor-based method and three distribution-based methods (0.3 sd , standard error of the measurement, and 5% range). We then averaged the change estimates to determine the MCID for the pain VAS. The patient acceptable symptom state (PASS) was defined as the 25th centile of the VAS corresponding to a positive patient response to having made a good recovery from surgery.

RESULTS

We enrolled 224 patients at the first postoperative visit, and 219 of these were available for a second interview. The VAS scores improved significantly between the first two interviews. Triangulation of distribution and anchor-based methods resulted in an MCID of 9.9 for the pain VAS, and a PASS of 33.

CONCLUSIONS

Analgesic interventions that provide a change of 10 for the 100 mm pain VAS signify a clinically important improvement or deterioration, and a VAS of 33 or less signifies acceptable pain control (i.e. a responder), after surgery.

摘要

背景

100 毫米视觉模拟评分(VAS)广泛用于测量手术后的疼痛强度。尽管广泛应用,但最小临床重要差异(MCID)仍不清楚;也就是说,分数的微小变化将表明患者疼痛状况的有意义变化。

方法

我们纳入了一系列连续、未选择的手术恢复期患者队列,并使用 VAS 来量化疼痛强度。我们使用基于锚的方法和三种基于分布的方法(0.3 sd 、测量的标准误差和 5%范围)将 VAS 中的变化与总体变化评定问卷进行比较。然后,我们平均变化估计值以确定 VAS 的 MCID。可接受症状状态(PASS)定义为 VAS 的第 25 百分位数,对应于患者对手术恢复良好的积极反应。

结果

我们在第一次术后就诊时纳入了 224 名患者,其中 219 名患者可进行第二次访谈。VAS 评分在两次访谈之间显著改善。分布和基于锚的方法的三角剖分导致疼痛 VAS 的 MCID 为 9.9,PASS 为 33。

结论

手术后,100 毫米疼痛 VAS 变化 10 分表示临床重要的改善或恶化,VAS 为 33 或更低表示可接受的疼痛控制(即应答者)。

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