Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery

Abstract 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 s...

Full description

Bibliographic Details
Main Authors: Qing-Ren Liu, Yu-Chen Dai, Mu-Huo Ji, Li-Li Qiu, Pan-Miao Liu, Xing-Bing Sun, Jian-Jun Yang
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-10504-5
_version_ 1828851098872446976
author Qing-Ren Liu
Yu-Chen Dai
Mu-Huo Ji
Li-Li Qiu
Pan-Miao Liu
Xing-Bing Sun
Jian-Jun Yang
author_facet Qing-Ren Liu
Yu-Chen Dai
Mu-Huo Ji
Li-Li Qiu
Pan-Miao Liu
Xing-Bing Sun
Jian-Jun Yang
author_sort Qing-Ren Liu
collection DOAJ
description Abstract 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.
first_indexed 2024-12-12T23:25:53Z
format Article
id doaj.art-8f34bb0d9ff84c978685a8182f7ca0b3
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-12-12T23:25:53Z
publishDate 2022-04-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-8f34bb0d9ff84c978685a8182f7ca0b32022-12-22T00:08:05ZengNature PortfolioScientific Reports2045-23222022-04-0112111010.1038/s41598-022-10504-5Predictors and predictive effects of acute pain trajectories after gastrointestinal surgeryQing-Ren Liu0Yu-Chen Dai1Mu-Huo Ji2Li-Li Qiu3Pan-Miao Liu4Xing-Bing Sun5Jian-Jun Yang6Department of Anesthesiology, Xishan People’s Hospital of Wuxi CityDepartment of Anesthesiology, Zhongda Hospital, Medical School, Southeast UniversityDepartment of Anesthesiology, The Second Affiliated Hospital, Nanjing Medical UniversityDepartment of Anesthesiology, Zhongda Hospital, Medical School, Southeast UniversityDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Anesthesiology, Xishan People’s Hospital of Wuxi CityDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou UniversityAbstract 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.https://doi.org/10.1038/s41598-022-10504-5
spellingShingle Qing-Ren Liu
Yu-Chen Dai
Mu-Huo Ji
Li-Li Qiu
Pan-Miao Liu
Xing-Bing Sun
Jian-Jun Yang
Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery
Scientific Reports
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
url https://doi.org/10.1038/s41598-022-10504-5
work_keys_str_mv AT qingrenliu predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery
AT yuchendai predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery
AT muhuoji predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery
AT liliqiu predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery
AT panmiaoliu predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery
AT xingbingsun predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery
AT jianjunyang predictorsandpredictiveeffectsofacutepaintrajectoriesaftergastrointestinalsurgery