Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study

Background. Several predictors have been shown to be independently associated with chronic postsurgical pain for gastrointestinal surgery, but few studies have investigated the factors associated with acute postsurgical pain (APSP). The aim of this study was to identify the predictors of APSP intens...

Full description

Saved in:
Bibliographic Details
Main Authors: Qing-Ren Liu, Mu-Huo Ji, Yu-Chen Dai, Xing-Bing Sun, Cheng-Mao Zhou, Xiao-Dong Qiu, Jian-Jun Yang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Pain Research and Management
Online Access:http://dx.doi.org/10.1155/2021/6668152
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832554984386854912
author Qing-Ren Liu
Mu-Huo Ji
Yu-Chen Dai
Xing-Bing Sun
Cheng-Mao Zhou
Xiao-Dong Qiu
Jian-Jun Yang
author_facet Qing-Ren Liu
Mu-Huo Ji
Yu-Chen Dai
Xing-Bing Sun
Cheng-Mao Zhou
Xiao-Dong Qiu
Jian-Jun Yang
author_sort Qing-Ren Liu
collection DOAJ
description Background. Several predictors have been shown to be independently associated with chronic postsurgical pain for gastrointestinal surgery, but few studies have investigated the factors associated with acute postsurgical pain (APSP). The aim of this study was to identify the predictors of APSP intensity and severity through investigating demographic, psychological, and clinical variables. Methods. We performed a prospective cohort study of 282 patients undergoing gastrointestinal surgery to analyze the predictors of APSP. Psychological questionnaires were assessed 1 day before surgery. Meanwhile, demographic characteristics and perioperative data were collected. The primary outcomes are APSP intensity assessed by numeric rating scale (NRS) and APSP severity defined as a clinically meaningful pain when NRS ≥4. The predictors for APSP intensity and severity were determined using multiple linear regression and multivariate logistic regression, respectively. Results. 112 patients (39.7%) reported a clinically meaningful pain during the first 24 hours postoperatively. Oral morphine milligram equivalent (MME) consumption (β 0.05, 95% CI 0.03–0.07, p<0.001), preoperative anxiety (β 0.12, 95% CI 0.08–0.15, p<0.001), and expected postsurgical pain intensity (β 0.12, 95% CI 0.06–0.18, p<0.001) were positively associated with APSP intensity. Furthermore, MME consumption (OR 1.15, 95% CI 1.10–1.21, p<0.001), preoperative anxiety (OR 1.33, 95% CI 1.21–1.46, p<0.001), and expected postsurgical pain intensity (OR 1.36, 95% CI 1.17–1.57, p<0.001) were independently associated with APSP severity. Conclusion. These results suggested that the predictors for APSP intensity following gastrointestinal surgery included analgesic consumption, preoperative anxiety, and expected postsurgical pain, which were also the risk factors for APSP severity.
format Article
id doaj-art-0b66f91d3d5c4ca8a79adb5aa19cdb59
institution Kabale University
issn 1203-6765
1918-1523
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Pain Research and Management
spelling doaj-art-0b66f91d3d5c4ca8a79adb5aa19cdb592025-02-03T05:49:51ZengWileyPain Research and Management1203-67651918-15232021-01-01202110.1155/2021/66681526668152Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort StudyQing-Ren Liu0Mu-Huo Ji1Yu-Chen Dai2Xing-Bing Sun3Cheng-Mao Zhou4Xiao-Dong Qiu5Jian-Jun Yang6School of Medicine, Southeast University, Nanjing 210009, ChinaDepartment of Anesthesiology, The Second Affiliated Hospital, Nanjing Medical University, Nanjing 210011, ChinaDepartment of Anesthesiology, Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, ChinaDepartment of Anesthesiology, Xishan People’s Hospital of Wuxi City, Wuxi 214105, ChinaDepartment of Anesthesiology,Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, ChinaDepartment of Anesthesiology, Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, ChinaSchool of Medicine, Southeast University, Nanjing 210009, ChinaBackground. Several predictors have been shown to be independently associated with chronic postsurgical pain for gastrointestinal surgery, but few studies have investigated the factors associated with acute postsurgical pain (APSP). The aim of this study was to identify the predictors of APSP intensity and severity through investigating demographic, psychological, and clinical variables. Methods. We performed a prospective cohort study of 282 patients undergoing gastrointestinal surgery to analyze the predictors of APSP. Psychological questionnaires were assessed 1 day before surgery. Meanwhile, demographic characteristics and perioperative data were collected. The primary outcomes are APSP intensity assessed by numeric rating scale (NRS) and APSP severity defined as a clinically meaningful pain when NRS ≥4. The predictors for APSP intensity and severity were determined using multiple linear regression and multivariate logistic regression, respectively. Results. 112 patients (39.7%) reported a clinically meaningful pain during the first 24 hours postoperatively. Oral morphine milligram equivalent (MME) consumption (β 0.05, 95% CI 0.03–0.07, p<0.001), preoperative anxiety (β 0.12, 95% CI 0.08–0.15, p<0.001), and expected postsurgical pain intensity (β 0.12, 95% CI 0.06–0.18, p<0.001) were positively associated with APSP intensity. Furthermore, MME consumption (OR 1.15, 95% CI 1.10–1.21, p<0.001), preoperative anxiety (OR 1.33, 95% CI 1.21–1.46, p<0.001), and expected postsurgical pain intensity (OR 1.36, 95% CI 1.17–1.57, p<0.001) were independently associated with APSP severity. Conclusion. These results suggested that the predictors for APSP intensity following gastrointestinal surgery included analgesic consumption, preoperative anxiety, and expected postsurgical pain, which were also the risk factors for APSP severity.http://dx.doi.org/10.1155/2021/6668152
spellingShingle Qing-Ren Liu
Mu-Huo Ji
Yu-Chen Dai
Xing-Bing Sun
Cheng-Mao Zhou
Xiao-Dong Qiu
Jian-Jun Yang
Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study
Pain Research and Management
title Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study
title_full Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study
title_fullStr Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study
title_full_unstemmed Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study
title_short Predictors of Acute Postsurgical Pain following Gastrointestinal Surgery: A Prospective Cohort Study
title_sort predictors of acute postsurgical pain following gastrointestinal surgery a prospective cohort study
url http://dx.doi.org/10.1155/2021/6668152
work_keys_str_mv AT qingrenliu predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy
AT muhuoji predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy
AT yuchendai predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy
AT xingbingsun predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy
AT chengmaozhou predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy
AT xiaodongqiu predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy
AT jianjunyang predictorsofacutepostsurgicalpainfollowinggastrointestinalsurgeryaprospectivecohortstudy