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Quantitative Sensory Testing to Predict Postoperative Pain
by
Bello, Corina
, Riva, Thomas
, Hönemann, Christian
, Luedi, Markus M.
, Braun, Matthias
, Doll, Dietrich
, Urman, Richard D.
in
Acute Pain Medicine (R Urman
/ Acute Pain Medicine (R Urman, Section Editor)
/ Anesthesiology
/ Cold
/ Internal Medicine
/ Medicine
/ Medicine & Public Health
/ Narcotics
/ Pain
/ Pain Medicine
/ Patients
/ Postoperative period
/ Section Editor
/ Substance abuse treatment
/ Teaching hospitals
/ Topical Collection on Acute Pain Medicine
2021
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Quantitative Sensory Testing to Predict Postoperative Pain
by
Bello, Corina
, Riva, Thomas
, Hönemann, Christian
, Luedi, Markus M.
, Braun, Matthias
, Doll, Dietrich
, Urman, Richard D.
in
Acute Pain Medicine (R Urman
/ Acute Pain Medicine (R Urman, Section Editor)
/ Anesthesiology
/ Cold
/ Internal Medicine
/ Medicine
/ Medicine & Public Health
/ Narcotics
/ Pain
/ Pain Medicine
/ Patients
/ Postoperative period
/ Section Editor
/ Substance abuse treatment
/ Teaching hospitals
/ Topical Collection on Acute Pain Medicine
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Quantitative Sensory Testing to Predict Postoperative Pain
by
Bello, Corina
, Riva, Thomas
, Hönemann, Christian
, Luedi, Markus M.
, Braun, Matthias
, Doll, Dietrich
, Urman, Richard D.
in
Acute Pain Medicine (R Urman
/ Acute Pain Medicine (R Urman, Section Editor)
/ Anesthesiology
/ Cold
/ Internal Medicine
/ Medicine
/ Medicine & Public Health
/ Narcotics
/ Pain
/ Pain Medicine
/ Patients
/ Postoperative period
/ Section Editor
/ Substance abuse treatment
/ Teaching hospitals
/ Topical Collection on Acute Pain Medicine
2021
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Quantitative Sensory Testing to Predict Postoperative Pain
Journal Article
Quantitative Sensory Testing to Predict Postoperative Pain
2021
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Overview
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.
Publisher
Springer US,Springer Nature B.V
Subject
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