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Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study

PURPOSE: Predictive value and accuracy of the acute pain trajectory were compared with those of pain intensity at 1 day after the surgery for pain prevalence at 6 months after the surgery. MATERIALS AND METHODS: Female patients scheduled for breast cancer surgery were eligible for this study. Patien...

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Autores principales: Okamoto, Akiko, Yamasaki, Masaki, Yokota, Isao, Mori, Maiko, Matsuda, Megumi, Yamaguchi, Yosuke, Yamakita, Shunsuke, Ueno, Hiroshi, Sawa, Teiji, Taguchi, Tetsuya, Hosokawa, Toyoshi, Amaya, Fumimasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179582/
https://www.ncbi.nlm.nih.gov/pubmed/30323654
http://dx.doi.org/10.2147/JPR.S171680
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author Okamoto, Akiko
Yamasaki, Masaki
Yokota, Isao
Mori, Maiko
Matsuda, Megumi
Yamaguchi, Yosuke
Yamakita, Shunsuke
Ueno, Hiroshi
Sawa, Teiji
Taguchi, Tetsuya
Hosokawa, Toyoshi
Amaya, Fumimasa
author_facet Okamoto, Akiko
Yamasaki, Masaki
Yokota, Isao
Mori, Maiko
Matsuda, Megumi
Yamaguchi, Yosuke
Yamakita, Shunsuke
Ueno, Hiroshi
Sawa, Teiji
Taguchi, Tetsuya
Hosokawa, Toyoshi
Amaya, Fumimasa
author_sort Okamoto, Akiko
collection PubMed
description PURPOSE: Predictive value and accuracy of the acute pain trajectory were compared with those of pain intensity at 1 day after the surgery for pain prevalence at 6 months after the surgery. MATERIALS AND METHODS: Female patients scheduled for breast cancer surgery were eligible for this study. Patients were questioned about pain intensity daily during the 7 days after surgery. Presence of pain, its location, and intensity as well as the Japanese version of the quality of the recovery-40 (QOR-40) were determined in an interview prior to and at 6 months after the surgery. Acute pain trajectory was determined by a group-based trajectory modeling analysis that was based on the pain intensity at 1–7 days after surgery. Predictive value of the acute pain trajectory for the presence of pain at 6 months after the surgery was assessed by a logistic regression model. The predictive value was compared with pain intensity at 1 day after the surgery. RESULTS: A total of 123 participants completed the 6-month follow-up. The three-cluster model (mild, moderate, and severe pain) was considered to be the most statistically appropriate model for the acute pain trajectory. After 6 months, 51.2% and 8.9% of participants reported pain and severe pain, respectively. Presence of pain at 6 months after the surgery was associated with poor recovery. The severe pain cluster was significantly associated with the presence of pain at 6 months after the surgery (adjusted odds ratio, 9.40; P<0.001 vs mild pain cluster). CONCLUSION: Classification of patients according to the acute pain trajectory, when compared with the classification according to pain intensity at 1 day after the surgery, made it possible to predict with better precision those patients who will develop persistent postsurgical pain.
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spelling pubmed-61795822018-10-15 Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study Okamoto, Akiko Yamasaki, Masaki Yokota, Isao Mori, Maiko Matsuda, Megumi Yamaguchi, Yosuke Yamakita, Shunsuke Ueno, Hiroshi Sawa, Teiji Taguchi, Tetsuya Hosokawa, Toyoshi Amaya, Fumimasa J Pain Res Original Research PURPOSE: Predictive value and accuracy of the acute pain trajectory were compared with those of pain intensity at 1 day after the surgery for pain prevalence at 6 months after the surgery. MATERIALS AND METHODS: Female patients scheduled for breast cancer surgery were eligible for this study. Patients were questioned about pain intensity daily during the 7 days after surgery. Presence of pain, its location, and intensity as well as the Japanese version of the quality of the recovery-40 (QOR-40) were determined in an interview prior to and at 6 months after the surgery. Acute pain trajectory was determined by a group-based trajectory modeling analysis that was based on the pain intensity at 1–7 days after surgery. Predictive value of the acute pain trajectory for the presence of pain at 6 months after the surgery was assessed by a logistic regression model. The predictive value was compared with pain intensity at 1 day after the surgery. RESULTS: A total of 123 participants completed the 6-month follow-up. The three-cluster model (mild, moderate, and severe pain) was considered to be the most statistically appropriate model for the acute pain trajectory. After 6 months, 51.2% and 8.9% of participants reported pain and severe pain, respectively. Presence of pain at 6 months after the surgery was associated with poor recovery. The severe pain cluster was significantly associated with the presence of pain at 6 months after the surgery (adjusted odds ratio, 9.40; P<0.001 vs mild pain cluster). CONCLUSION: Classification of patients according to the acute pain trajectory, when compared with the classification according to pain intensity at 1 day after the surgery, made it possible to predict with better precision those patients who will develop persistent postsurgical pain. Dove Medical Press 2018-10-05 /pmc/articles/PMC6179582/ /pubmed/30323654 http://dx.doi.org/10.2147/JPR.S171680 Text en © 2018 Okamoto et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Okamoto, Akiko
Yamasaki, Masaki
Yokota, Isao
Mori, Maiko
Matsuda, Megumi
Yamaguchi, Yosuke
Yamakita, Shunsuke
Ueno, Hiroshi
Sawa, Teiji
Taguchi, Tetsuya
Hosokawa, Toyoshi
Amaya, Fumimasa
Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
title Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
title_full Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
title_fullStr Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
title_full_unstemmed Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
title_short Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
title_sort classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179582/
https://www.ncbi.nlm.nih.gov/pubmed/30323654
http://dx.doi.org/10.2147/JPR.S171680
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