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Quantitative Sensory Testing to Predict Postoperative Pain
Current Pain and Headache Reports ( IF 3.2 ) Pub Date : 2021-01-14 , DOI: 10.1007/s11916-020-00920-5
Matthias Braun 1 , Corina Bello 1 , Thomas Riva 1 , Christian Hönemann 2 , Dietrich Doll 3 , Richard D Urman 4 , Markus M Luedi 1
Affiliation  

Purpose of Review

We review the relevance of quantitative sensory testing (QST) in light of acute and chronic postoperative pain and associated challenges.

Recent Findings

Predicting the occurrence of acute and chronic postoperative pain with QST can help identify patients at risk and allows proactive preventive management. Generally, central QST testing, such as temporal summation of pain (TSP) and conditioned pain modulation (CPM), appear to be the most promising modalities for reliable prediction of postoperative pain by QST. Overall, QST testing has the best predictive value in patients undergoing orthopedic procedures.

Summary

Current evidence underlines the potential of preoperative QST to predict postoperative pain in patients undergoing elective surgery. Implementing QST in routine preoperative screening can help advancing traditional pain therapy toward personalized perioperative pain medicine.



中文翻译:

定量感觉测试预测术后疼痛

审查目的

我们根据急性和慢性术后疼痛及相关挑战回顾了定量感觉测试 (QST) 的相关性。

最近的发现

使用 QST 预测急性和慢性术后疼痛的发生可以帮助识别有风险的患者并允许进行积极的预防管理。通常,中央 QST 测试,例如疼痛时间总和 (TSP) 和条件性疼痛调制 (CPM),似乎是通过 QST 可靠预测术后疼痛的最有希望的方式。总体而言,QST 测试对接受骨科手术的患者具有最佳预测价值。

概括

目前的证据强调了术前 QST 预测择期手术患者术后疼痛的潜力。在常规术前筛查中实施 QST 有助于推动传统疼痛治疗向个性化围手术期疼痛医学发展。

更新日期:2021-01-14
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