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Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population

CONTEXT: Experimental assessments can determine pain threshold and tolerance, which mirror sensitivity to pain. This, in turn, influences the post-operative experience. AIMS: The study intended to evaluate whether the pre-operative pressure and electrical pain tests can predict pain and opioid requi...

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Autores principales: Buhagiar, Luana Mifsud, Cassar, Olivia A, Brincat, Mark P, Buttigieg, George G, Inglott, Anthony Serracino, Adami, Maurice Zarb, Azzopardi, Lilian M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819839/
https://www.ncbi.nlm.nih.gov/pubmed/24249982
http://dx.doi.org/10.4103/0970-9185.119135
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author Buhagiar, Luana Mifsud
Cassar, Olivia A
Brincat, Mark P
Buttigieg, George G
Inglott, Anthony Serracino
Adami, Maurice Zarb
Azzopardi, Lilian M
author_facet Buhagiar, Luana Mifsud
Cassar, Olivia A
Brincat, Mark P
Buttigieg, George G
Inglott, Anthony Serracino
Adami, Maurice Zarb
Azzopardi, Lilian M
author_sort Buhagiar, Luana Mifsud
collection PubMed
description CONTEXT: Experimental assessments can determine pain threshold and tolerance, which mirror sensitivity to pain. This, in turn, influences the post-operative experience. AIMS: The study intended to evaluate whether the pre-operative pressure and electrical pain tests can predict pain and opioid requirement following cesarean delivery. SETTINGS AND DESIGN: Research was conducted on females scheduled for cesarean section at a tertiary care hospital of the state. Twenty women were enrolled, after obtaining written informed consent. MATERIALS AND METHODS: Pain assessment was performed on the eve of cesarean sections using three devices: PainMatcher(;) determined electrical pain threshold while the algometers PainTest(™) FPN100 (manual) and PainTest(™) FPX 25 (digital) evaluated pressure pain threshold and tolerance. Post-operative pain relief included intravenous morphine administered by patient-controlled analgesia, diclofenac (100 mg, every 12 h, rectally, enforced) and paracetamol (1000 mg, every 4-6 h, orally, on patient request). Pain scores were reported on numerical rating scales at specified time intervals. STATISTICAL ANALYSIS USED: Correlational and regression statistics were computed using IBM SPSS Statistics 21 software (IBM Corporation, USA). RESULTS: A significant correlation was observed between morphine requirement and: (1) electrical pain threshold (r = -0.45, P = 0.025), (2) pressure pain threshold (r = -0.41 P = 0.036) and (3) pressure pain tolerance (r = -0.44, P = 0.026) measured by the digital algometer. The parsimonious regression model for morphine requirement consisted of electrical pain threshold (r(2)= 0.20, P = 0.049). The dose of morphine consumed within 48 h of surgery decreases by 0.9 mg for every unit increment in electrical pain threshold. CONCLUSIONS: The predictive power of pain sensitivity assessments, particularly electrical pain threshold, may portend post-cesarean outcomes, including opioid requirements.
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spelling pubmed-38198392013-11-18 Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population Buhagiar, Luana Mifsud Cassar, Olivia A Brincat, Mark P Buttigieg, George G Inglott, Anthony Serracino Adami, Maurice Zarb Azzopardi, Lilian M J Anaesthesiol Clin Pharmacol Original Article CONTEXT: Experimental assessments can determine pain threshold and tolerance, which mirror sensitivity to pain. This, in turn, influences the post-operative experience. AIMS: The study intended to evaluate whether the pre-operative pressure and electrical pain tests can predict pain and opioid requirement following cesarean delivery. SETTINGS AND DESIGN: Research was conducted on females scheduled for cesarean section at a tertiary care hospital of the state. Twenty women were enrolled, after obtaining written informed consent. MATERIALS AND METHODS: Pain assessment was performed on the eve of cesarean sections using three devices: PainMatcher(;) determined electrical pain threshold while the algometers PainTest(™) FPN100 (manual) and PainTest(™) FPX 25 (digital) evaluated pressure pain threshold and tolerance. Post-operative pain relief included intravenous morphine administered by patient-controlled analgesia, diclofenac (100 mg, every 12 h, rectally, enforced) and paracetamol (1000 mg, every 4-6 h, orally, on patient request). Pain scores were reported on numerical rating scales at specified time intervals. STATISTICAL ANALYSIS USED: Correlational and regression statistics were computed using IBM SPSS Statistics 21 software (IBM Corporation, USA). RESULTS: A significant correlation was observed between morphine requirement and: (1) electrical pain threshold (r = -0.45, P = 0.025), (2) pressure pain threshold (r = -0.41 P = 0.036) and (3) pressure pain tolerance (r = -0.44, P = 0.026) measured by the digital algometer. The parsimonious regression model for morphine requirement consisted of electrical pain threshold (r(2)= 0.20, P = 0.049). The dose of morphine consumed within 48 h of surgery decreases by 0.9 mg for every unit increment in electrical pain threshold. CONCLUSIONS: The predictive power of pain sensitivity assessments, particularly electrical pain threshold, may portend post-cesarean outcomes, including opioid requirements. Medknow Publications & Media Pvt Ltd 2013 /pmc/articles/PMC3819839/ /pubmed/24249982 http://dx.doi.org/10.4103/0970-9185.119135 Text en Copyright: © Journal of Anaesthesiology Clinical Pharmacology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Buhagiar, Luana Mifsud
Cassar, Olivia A
Brincat, Mark P
Buttigieg, George G
Inglott, Anthony Serracino
Adami, Maurice Zarb
Azzopardi, Lilian M
Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population
title Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population
title_full Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population
title_fullStr Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population
title_full_unstemmed Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population
title_short Pre-operative pain sensitivity: A prediction of post-operative outcome in the obstetric population
title_sort pre-operative pain sensitivity: a prediction of post-operative outcome in the obstetric population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819839/
https://www.ncbi.nlm.nih.gov/pubmed/24249982
http://dx.doi.org/10.4103/0970-9185.119135
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