定量感觉测试预测术后疼痛。
Quantitative Sensory Testing to Predict Postoperative Pain.
机构信息
Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
Department of Anaesthesiology, Catholic Clinics Oldenburger Münsterland gGmbH, St. Marienhospital Vechta, Teaching Hospital of the Medizinische Hochschule Hannover, Vechta, Germany.
出版信息
Curr Pain Headache Rep. 2021 Jan 14;25(1):3. doi: 10.1007/s11916-020-00920-5.
Abstract
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. 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.
摘要
目的综述
本文回顾了定量感觉测试（QST）在急性和慢性术后疼痛及其相关挑战方面的相关性。
最近的发现
QST 可预测急性和慢性术后疼痛的发生，有助于识别高危患者，并可进行主动预防性管理。一般来说，中枢 QST 测试，如疼痛的时间总和（TSP）和条件性疼痛调制（CPM），似乎是 QST 预测术后疼痛最有前途的方法。总体而言，QST 测试在接受骨科手术的患者中具有最佳的预测价值。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 有助于将传统的疼痛治疗推进到个性化围手术期疼痛医学。
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