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Predictors of post-caesarean section pain and analgesic consumption
BACKGROUND: Ideally, the intensity of postoperative pain should be predicted so as to customize analgesia. The objective of this study was to investigate whether preoperative electrical and pressure pain assessment can predict post-caesarean section pain and analgesic requirement. MATERIALS AND METH...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications Pvt Ltd
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127296/ https://www.ncbi.nlm.nih.gov/pubmed/21772677 http://dx.doi.org/10.4103/0970-9185.81822 |
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author | Buhagiar, Luana Cassar, Olivia A Brincat, Mark P Buttigieg, George G Inglott, Anthony Serracino Adami, Maurice Zarb Azzopardi, Lilian M |
author_facet | Buhagiar, Luana Cassar, Olivia A Brincat, Mark P Buttigieg, George G Inglott, Anthony Serracino Adami, Maurice Zarb Azzopardi, Lilian M |
author_sort | Buhagiar, Luana |
collection | PubMed |
description | BACKGROUND: Ideally, the intensity of postoperative pain should be predicted so as to customize analgesia. The objective of this study was to investigate whether preoperative electrical and pressure pain assessment can predict post-caesarean section pain and analgesic requirement. MATERIALS AND METHODS: A total of 65 subjects scheduled for elective caesarean section, who gave written informed consent, were studied. Preoperatively, PainMatcher(®) was used to evaluate electrical pain threshold, while manual PainTest™ FPN 100 Algometer and digital PainTest™ FPX 25 Algometer determined pressure pain threshold and tolerance. Postoperatively, numerical rating scales were used to assess pain at regular time intervals. Patients received intramuscular pethidine (100mg, 6 hourly), rectal diclofenac (100mg, 12 hourly), and oral paracetamol (1g, p.r.n.) for pain relief. Statistical analysis was conducted using PASW Statistics 18 software. RESULTS: Preoperative electrical pain threshold correlated significantly with post-caesarean pain scores at 6 and 24 hours (r = –0.26, P < 0.02; r = –0.23, P < 0.04, respectively), and with the quantity of paracetamol consumed by the patient within 48 hours of surgery (r = –0.33, P < 0.005). Preoperative pressure pain tolerance measured by PainTest™ FPX 25 Algometer was significantly correlated with pain scores 6 hours postsurgery (r = –0.21, P < 0.05). Pain scores 6 hours post-caesarean section correlated significantly with anesthesia—general or spinal (F = 4.22, v(1) = 1, v(2) = 63, P < 0.05). CONCLUSIONS: The predictive methods proposed may aid in identifying patients at greater risk for postoperative pain. Electrical pain threshold could be useful in personalizing the postoperative analgesic protocol. |
format | Online Article Text |
id | pubmed-3127296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Medknow Publications Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-31272962011-07-19 Predictors of post-caesarean section pain and analgesic consumption Buhagiar, Luana Cassar, Olivia A Brincat, Mark P Buttigieg, George G Inglott, Anthony Serracino Adami, Maurice Zarb Azzopardi, Lilian M J Anaesthesiol Clin Pharmacol Original Article BACKGROUND: Ideally, the intensity of postoperative pain should be predicted so as to customize analgesia. The objective of this study was to investigate whether preoperative electrical and pressure pain assessment can predict post-caesarean section pain and analgesic requirement. MATERIALS AND METHODS: A total of 65 subjects scheduled for elective caesarean section, who gave written informed consent, were studied. Preoperatively, PainMatcher(®) was used to evaluate electrical pain threshold, while manual PainTest™ FPN 100 Algometer and digital PainTest™ FPX 25 Algometer determined pressure pain threshold and tolerance. Postoperatively, numerical rating scales were used to assess pain at regular time intervals. Patients received intramuscular pethidine (100mg, 6 hourly), rectal diclofenac (100mg, 12 hourly), and oral paracetamol (1g, p.r.n.) for pain relief. Statistical analysis was conducted using PASW Statistics 18 software. RESULTS: Preoperative electrical pain threshold correlated significantly with post-caesarean pain scores at 6 and 24 hours (r = –0.26, P < 0.02; r = –0.23, P < 0.04, respectively), and with the quantity of paracetamol consumed by the patient within 48 hours of surgery (r = –0.33, P < 0.005). Preoperative pressure pain tolerance measured by PainTest™ FPX 25 Algometer was significantly correlated with pain scores 6 hours postsurgery (r = –0.21, P < 0.05). Pain scores 6 hours post-caesarean section correlated significantly with anesthesia—general or spinal (F = 4.22, v(1) = 1, v(2) = 63, P < 0.05). CONCLUSIONS: The predictive methods proposed may aid in identifying patients at greater risk for postoperative pain. Electrical pain threshold could be useful in personalizing the postoperative analgesic protocol. Medknow Publications Pvt Ltd 2011 /pmc/articles/PMC3127296/ /pubmed/21772677 http://dx.doi.org/10.4103/0970-9185.81822 Text en © 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 Cassar, Olivia A Brincat, Mark P Buttigieg, George G Inglott, Anthony Serracino Adami, Maurice Zarb Azzopardi, Lilian M Predictors of post-caesarean section pain and analgesic consumption |
title | Predictors of post-caesarean section pain and analgesic consumption |
title_full | Predictors of post-caesarean section pain and analgesic consumption |
title_fullStr | Predictors of post-caesarean section pain and analgesic consumption |
title_full_unstemmed | Predictors of post-caesarean section pain and analgesic consumption |
title_short | Predictors of post-caesarean section pain and analgesic consumption |
title_sort | predictors of post-caesarean section pain and analgesic consumption |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127296/ https://www.ncbi.nlm.nih.gov/pubmed/21772677 http://dx.doi.org/10.4103/0970-9185.81822 |
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