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Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery
Few studies have investigated factors associated with acute postsurgical pain (APSP) trajectories, and whether the APSP trajectory can predict chronic postsurgical pain (CPSP) remains unclear. We aimed to identify the predictors of APSP trajectories in patients undergoing gastrointestinal surgery. M...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021210/ https://www.ncbi.nlm.nih.gov/pubmed/35444171 http://dx.doi.org/10.1038/s41598-022-10504-5 |
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author | Liu, Qing-Ren Dai, Yu-Chen Ji, Mu-Huo Qiu, Li-Li Liu, Pan-Miao Sun, Xing-Bing Yang, Jian-Jun |
author_facet | Liu, Qing-Ren Dai, Yu-Chen Ji, Mu-Huo Qiu, Li-Li Liu, Pan-Miao Sun, Xing-Bing Yang, Jian-Jun |
author_sort | Liu, Qing-Ren |
collection | PubMed |
description | Few studies have investigated factors associated with acute postsurgical pain (APSP) trajectories, and whether the APSP trajectory can predict chronic postsurgical pain (CPSP) remains unclear. We aimed to identify the predictors of APSP trajectories in patients undergoing gastrointestinal surgery. Moreover, we hypothesised that APSP trajectories were independently associated with CPSP. We conducted a prospective cohort study of 282 patients undergoing gastrointestinal surgery to describe APSP trajectories. Psychological questionnaires were administered 1 day before surgery. Meanwhile, demographic characteristics and perioperative data were collected. Average pain intensity during the first 7 days after surgery was assessed by a numeric rating scale (NRS). Persistent pain intensity was evaluated at 3 and 6 months postoperatively by phone call interview. CPSP was defined as pain at the incision site or surrounding areas of surgery with a pain NRS score ≥ 1 at rest. The intercept and slope were calculated by linear regression using the least squares method. The predictors for the APSP trajectory and CPSP were determined using multiple linear regression and multivariate logistic regression, respectively. Body mass index, morphine milligram equivalent (MME) consumption, preoperative chronic pain and anxiety were predictors of the APSP trajectory intercept. Moreover, MME consumption and preoperative anxiety could independently predict the APSP trajectory slope. The incidence of CPSP at 3 and 6 months was 30.58% and 16.42% respectively. APSP trajectory and age were predictors of CPSP 3 months postoperatively, while female sex and preoperative anxiety were predictive factors of CPSP 6 months postoperatively. Preoperative anxiety and postoperative analgesic consumption can predict APSP trajectory. In addition, pain trajectory was associated with CPSP. Clinicians need to stay alert for these predictors and pay close attention to pain resolution. |
format | Online Article Text |
id | pubmed-9021210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90212102022-04-21 Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery Liu, Qing-Ren Dai, Yu-Chen Ji, Mu-Huo Qiu, Li-Li Liu, Pan-Miao Sun, Xing-Bing Yang, Jian-Jun Sci Rep Article Few studies have investigated factors associated with acute postsurgical pain (APSP) trajectories, and whether the APSP trajectory can predict chronic postsurgical pain (CPSP) remains unclear. We aimed to identify the predictors of APSP trajectories in patients undergoing gastrointestinal surgery. Moreover, we hypothesised that APSP trajectories were independently associated with CPSP. We conducted a prospective cohort study of 282 patients undergoing gastrointestinal surgery to describe APSP trajectories. Psychological questionnaires were administered 1 day before surgery. Meanwhile, demographic characteristics and perioperative data were collected. Average pain intensity during the first 7 days after surgery was assessed by a numeric rating scale (NRS). Persistent pain intensity was evaluated at 3 and 6 months postoperatively by phone call interview. CPSP was defined as pain at the incision site or surrounding areas of surgery with a pain NRS score ≥ 1 at rest. The intercept and slope were calculated by linear regression using the least squares method. The predictors for the APSP trajectory and CPSP were determined using multiple linear regression and multivariate logistic regression, respectively. Body mass index, morphine milligram equivalent (MME) consumption, preoperative chronic pain and anxiety were predictors of the APSP trajectory intercept. Moreover, MME consumption and preoperative anxiety could independently predict the APSP trajectory slope. The incidence of CPSP at 3 and 6 months was 30.58% and 16.42% respectively. APSP trajectory and age were predictors of CPSP 3 months postoperatively, while female sex and preoperative anxiety were predictive factors of CPSP 6 months postoperatively. Preoperative anxiety and postoperative analgesic consumption can predict APSP trajectory. In addition, pain trajectory was associated with CPSP. Clinicians need to stay alert for these predictors and pay close attention to pain resolution. Nature Publishing Group UK 2022-04-20 /pmc/articles/PMC9021210/ /pubmed/35444171 http://dx.doi.org/10.1038/s41598-022-10504-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Qing-Ren Dai, Yu-Chen Ji, Mu-Huo Qiu, Li-Li Liu, Pan-Miao Sun, Xing-Bing Yang, Jian-Jun Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
title | Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
title_full | Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
title_fullStr | Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
title_full_unstemmed | Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
title_short | Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
title_sort | predictors and predictive effects of acute pain trajectories after gastrointestinal surgery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021210/ https://www.ncbi.nlm.nih.gov/pubmed/35444171 http://dx.doi.org/10.1038/s41598-022-10504-5 |
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