Literature DB >> 33574975

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

Qing-Ren Liu1,2, Mu-Huo Ji3, Yu-Chen Dai4, Xing-Bing Sun2, Cheng-Mao Zhou5, Xiao-Dong Qiu4, Jian-Jun Yang1,5.   

Abstract

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.
Copyright © 2021 Qing-Ren Liu et al.

Entities:  

Mesh:

Year:  2021        PMID: 33574975      PMCID: PMC7864731          DOI: 10.1155/2021/6668152

Source DB:  PubMed          Journal:  Pain Res Manag        ISSN: 1203-6765            Impact factor:   3.037


  40 in total

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Review 6.  Pain Management in Enhanced Recovery after Surgery (ERAS) Protocols.

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Journal:  Reg Anesth Pain Med       Date:  2019-02-15       Impact factor: 6.288

8.  Predictive factors of postoperative pain after day-case surgery.

Authors:  Hans-Fritz Gramke; Janneke M de Rijke; Maarten van Kleef; Alfons G H Kessels; Madelon L Peters; Michael Sommer; Marco A E Marcus
Journal:  Clin J Pain       Date:  2009 Jul-Aug       Impact factor: 3.442

9.  Validation of the surgical fear questionnaire in adult patients waiting for elective surgery.

Authors:  Maurice Theunissen; Madelon L Peters; Erik G W Schouten; Audrey A A Fiddelers; Mark G A Willemsen; Patrícia R Pinto; Hans-Fritz Gramke; Marco A E Marcus
Journal:  PLoS One       Date:  2014-06-24       Impact factor: 3.240

10.  Does expecting more pain make it more intense? Factors associated with the first week pain trajectories after breast cancer surgery.

Authors:  Reetta M Sipilä; Lassi Haasio; Tuomo J Meretoja; Samuli Ripatti; Ann-Mari Estlander; Eija A Kalso
Journal:  Pain       Date:  2017-05       Impact factor: 7.926

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