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Prediction of Postoperative Pain from Electrical Pain Thresholds after Laparoscopic Cholecystectomy

Persson, Anna K M LU ; Dyrehag, L-E and Åkeson, Jonas LU (2017) In Clinical Journal of Pain 33(2). p.126-131
Abstract

OBJECTIVE:: Early postoperative pain correlates to persisting pain, psychosocial distress, and delayed mobilization with thromboembolic and infectious complications. Electrical pain thresholds (EPT) have shown promising results in being able to predict postoperative pain, but the results are conflicting. The aim of this study was to test whether EPT levels can be used to predict postoperative pain in patients of both genders. METHODS:: One-hundred-and-eighty patients scheduled for laparoscopic cholecystectomy were included in this prospective clinical study. Individual levels of EPT were measured before surgery, and pain intensity was evaluated in the early postoperative period. RESULTS:: There were significant correlations between EPT... (More)

OBJECTIVE:: Early postoperative pain correlates to persisting pain, psychosocial distress, and delayed mobilization with thromboembolic and infectious complications. Electrical pain thresholds (EPT) have shown promising results in being able to predict postoperative pain, but the results are conflicting. The aim of this study was to test whether EPT levels can be used to predict postoperative pain in patients of both genders. METHODS:: One-hundred-and-eighty patients scheduled for laparoscopic cholecystectomy were included in this prospective clinical study. Individual levels of EPT were measured before surgery, and pain intensity was evaluated in the early postoperative period. RESULTS:: There were significant correlations between EPT and maximum postoperative pain intensity (rs=−0.21 P=0.009), time to first rescue opioid (rs=0.26, P=0.006) and total dose of rescue opioid (rs=−0.22, P=0.001). Interaction test showed significant influence of gender on the ability of EPT to predict postoperative pain intensity. Female patients with low EPT (

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Clinical Journal of Pain
volume
33
issue
2
pages
126 - 131
publisher
Lippincott Williams & Wilkins
external identifiers
  • scopus:84973351067
  • wos:000392305500005
ISSN
0749-8047
DOI
10.1097/AJP.0000000000000394
language
English
LU publication?
yes
id
d5c073d8-0aff-42ef-b4ad-57fe04af9bd8
date added to LUP
2016-06-23 12:27:04
date last changed
2017-09-18 11:30:01
@article{d5c073d8-0aff-42ef-b4ad-57fe04af9bd8,
  abstract     = {<p>OBJECTIVE:: Early postoperative pain correlates to persisting pain, psychosocial distress, and delayed mobilization with thromboembolic and infectious complications. Electrical pain thresholds (EPT) have shown promising results in being able to predict postoperative pain, but the results are conflicting. The aim of this study was to test whether EPT levels can be used to predict postoperative pain in patients of both genders. METHODS:: One-hundred-and-eighty patients scheduled for laparoscopic cholecystectomy were included in this prospective clinical study. Individual levels of EPT were measured before surgery, and pain intensity was evaluated in the early postoperative period. RESULTS:: There were significant correlations between EPT and maximum postoperative pain intensity (rs=−0.21 P=0.009), time to first rescue opioid (rs=0.26, P=0.006) and total dose of rescue opioid (rs=−0.22, P=0.001). Interaction test showed significant influence of gender on the ability of EPT to predict postoperative pain intensity. Female patients with low EPT (</p>},
  author       = {Persson, Anna K M and Dyrehag, L-E and Åkeson, Jonas},
  issn         = {0749-8047},
  language     = {eng},
  number       = {2},
  pages        = {126--131},
  publisher    = {Lippincott Williams & Wilkins},
  series       = {Clinical Journal of Pain},
  title        = {Prediction of Postoperative Pain from Electrical Pain Thresholds after Laparoscopic Cholecystectomy},
  url          = {http://dx.doi.org/10.1097/AJP.0000000000000394},
  volume       = {33},
  year         = {2017},
}