Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study

Abstract Identifying patients at risk is the start of adequate perioperative pain management. We aimed to identify preoperative predictors for acute postsurgical pain (APSP) and for pain at 3 months after surgery to develop prediction models. In a prospective observational study, we collected preope...

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Autores principales:	Regina L. M. van Boekel, Ewald M. Bronkhorst, Lilian Vloet, Monique A. M. Steegers, Kris C. P. Vissers
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/68e387edf07149108be8d4972afa81eb
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spelling	oai:doaj.org-article:68e387edf07149108be8d4972afa81eb2021-12-02T19:06:40ZIdentification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study10.1038/s41598-021-95963-y2045-2322https://doaj.org/article/68e387edf07149108be8d4972afa81eb2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95963-yhttps://doaj.org/toc/2045-2322Abstract Identifying patients at risk is the start of adequate perioperative pain management. We aimed to identify preoperative predictors for acute postsurgical pain (APSP) and for pain at 3 months after surgery to develop prediction models. In a prospective observational study, we collected preoperative predictors and the movement-evoked numerical rating scale (NRS-MEP) of postoperative pain at day 1, 2, 3, 7, week 1, 6 and 3 months after surgery from patients with a range of surgical procedures. Regression analyses of data of 2258 surgical in- and outpatients showed that independent predictors for APSP using the mean NRS-MEP over the first three days after surgery were hospital admittance, female sex, higher preoperative pain, younger age, pain catastrophizing, anxiety, higher score on functional disability, highest categories of expected pain, medical specialty, unknown wound size, and wound size > 10 cm compared to wound size ≤ 10 cm (RMSE = 2.11). For pain at three months, the only predictors were preoperative pain and a higher score on functional disability (RMSE = 1.69). Adding pain trajectories improved the prediction of pain at three months (RMSE = 1.37). Our clinically applicable prediction models can be used preoperatively to identify patients at risk, as well as in the direct postoperative period.Regina L. M. van BoekelEwald M. BronkhorstLilian VloetMonique A. M. SteegersKris C. P. VissersNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Regina L. M. van Boekel Ewald M. Bronkhorst Lilian Vloet Monique A. M. Steegers Kris C. P. Vissers Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
description	Abstract Identifying patients at risk is the start of adequate perioperative pain management. We aimed to identify preoperative predictors for acute postsurgical pain (APSP) and for pain at 3 months after surgery to develop prediction models. In a prospective observational study, we collected preoperative predictors and the movement-evoked numerical rating scale (NRS-MEP) of postoperative pain at day 1, 2, 3, 7, week 1, 6 and 3 months after surgery from patients with a range of surgical procedures. Regression analyses of data of 2258 surgical in- and outpatients showed that independent predictors for APSP using the mean NRS-MEP over the first three days after surgery were hospital admittance, female sex, higher preoperative pain, younger age, pain catastrophizing, anxiety, higher score on functional disability, highest categories of expected pain, medical specialty, unknown wound size, and wound size > 10 cm compared to wound size ≤ 10 cm (RMSE = 2.11). For pain at three months, the only predictors were preoperative pain and a higher score on functional disability (RMSE = 1.69). Adding pain trajectories improved the prediction of pain at three months (RMSE = 1.37). Our clinically applicable prediction models can be used preoperatively to identify patients at risk, as well as in the direct postoperative period.
format	article
author	Regina L. M. van Boekel Ewald M. Bronkhorst Lilian Vloet Monique A. M. Steegers Kris C. P. Vissers
author_facet	Regina L. M. van Boekel Ewald M. Bronkhorst Lilian Vloet Monique A. M. Steegers Kris C. P. Vissers
author_sort	Regina L. M. van Boekel
title	Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
title_short	Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
title_full	Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
title_fullStr	Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
title_full_unstemmed	Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
title_sort	identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/68e387edf07149108be8d4972afa81eb
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Identification of preoperative predictors for acute postsurgical pain and for pain at three months after surgery: a prospective observational study

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