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Quantitative Sensory Testing to Predict Postoperative Pain.

Matthias Braun1, Corina Bello1, Thomas Riva1

  • 1Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.

Current Pain and Headache Reports
|January 14, 2021
PubMed
Summary
This summary is machine-generated.

Quantitative sensory testing (QST) can predict postoperative pain, aiding in early identification of at-risk patients. Central QST methods show promise for personalized pain management strategies.

Keywords:
Acute postoperative painPersistent postoperative painQuantitative sensory testing

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Area of Science:

  • Pain research
  • Neuroscience
  • Anesthesiology

Background:

  • Postoperative pain presents significant challenges, impacting patient recovery and healthcare costs.
  • Current pain management strategies often lack personalization, leading to suboptimal outcomes for acute and chronic pain.
  • Quantitative Sensory Testing (QST) offers objective measures of sensory function relevant to pain perception.

Purpose of the Study:

  • To review the relevance and application of Quantitative Sensory Testing (QST) for predicting and managing acute and chronic postoperative pain.
  • To evaluate the potential of QST in identifying patients at risk for developing persistent postoperative pain.

Main Methods:

  • Review of existing literature on the use of QST in the context of postoperative pain.
  • Focus on central QST modalities, including temporal summation of pain (TSP) and conditioned pain modulation (CPM).
  • Analysis of QST's predictive value across different surgical populations, particularly orthopedic procedures.

Main Results:

  • Preoperative QST demonstrates potential in predicting postoperative pain, especially in patients undergoing elective orthopedic surgery.
  • Central QST methods like TSP and CPM show promise for reliable pain prediction.
  • QST can identify patients at risk, enabling proactive and personalized preventive pain management.

Conclusions:

  • Implementing QST in routine preoperative screening can enhance the prediction of postoperative pain.
  • QST facilitates a shift from traditional pain therapy towards personalized perioperative pain medicine.
  • Objective pain assessment through QST is crucial for optimizing patient outcomes and recovery.