Cargando…

Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain

INTRODUCTION: Postoperative pain remains a challenging medical condition impacting the quality of life of every patient. Although several predictive factors for postoperative pain have been identified, an adequate prediction of postoperative pain in patients at risk has not been achieved yet. The pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Song, van Boekel, Regina L M, van den Heuvel, Sandra A S, Coenen, Marieke J H, Vissers, Kris C P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710368/
https://www.ncbi.nlm.nih.gov/pubmed/36446453
http://dx.doi.org/10.1136/bmjopen-2022-066134
_version_ 1784841349509414912
author Li, Song
van Boekel, Regina L M
van den Heuvel, Sandra A S
Coenen, Marieke J H
Vissers, Kris C P
author_facet Li, Song
van Boekel, Regina L M
van den Heuvel, Sandra A S
Coenen, Marieke J H
Vissers, Kris C P
author_sort Li, Song
collection PubMed
description INTRODUCTION: Postoperative pain remains a challenging medical condition impacting the quality of life of every patient. Although several predictive factors for postoperative pain have been identified, an adequate prediction of postoperative pain in patients at risk has not been achieved yet. The primary objective of this study is to identify specific genetic risk factors for the development of acute and chronic postoperative pain to construct a prediction model facilitating a more personalised postoperative pain management for each individual. The secondary objectives are to build a databank enabling researchers to identify other risk factors for postoperative pain, for instance, demographic and clinical outcome indicators; provide insight into (genetic) factors that predict pharmacological pain relief; investigate the relationship between acute and chronic postoperative pain. METHODS AND ANALYSIS: In this prospective, observational study, patients who undergo elective surgery will be recruited to a sample size of approximately 10 000 patients. Postoperative acute and chronic pain outcomes will be collected through questionnaires at different time points after surgery in the follow-up of 6 months. Potential genetic, demographic and clinical risk factors for prediction model construction will be collected through blood, questionnaires and electronic health records, respectively. Genetic factors associated with acute and/or chronic postoperative pain will be identified using a genome-wide association analysis. Clinical risk factors as stated in the secondary objectives will be assessed by multivariable regression. A clinical easy-to-use prediction model will be created for postoperative pain to allow clinical use for the stratification of patients. ETHICS AND DISSEMINATION: The Institutional Review Board of the Radboud university medical centre approved the study (authorisation number: 2012/117). The results of this study will be made available through peer-reviewed scientific journals and presentations at relevant conferences, which will finally contribute to personalised postoperative pain management. TRIAL REGISTRATION NUMBER: NCT02383342.
format Online
Article
Text
id pubmed-9710368
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-97103682022-12-01 Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain Li, Song van Boekel, Regina L M van den Heuvel, Sandra A S Coenen, Marieke J H Vissers, Kris C P BMJ Open Surgery INTRODUCTION: Postoperative pain remains a challenging medical condition impacting the quality of life of every patient. Although several predictive factors for postoperative pain have been identified, an adequate prediction of postoperative pain in patients at risk has not been achieved yet. The primary objective of this study is to identify specific genetic risk factors for the development of acute and chronic postoperative pain to construct a prediction model facilitating a more personalised postoperative pain management for each individual. The secondary objectives are to build a databank enabling researchers to identify other risk factors for postoperative pain, for instance, demographic and clinical outcome indicators; provide insight into (genetic) factors that predict pharmacological pain relief; investigate the relationship between acute and chronic postoperative pain. METHODS AND ANALYSIS: In this prospective, observational study, patients who undergo elective surgery will be recruited to a sample size of approximately 10 000 patients. Postoperative acute and chronic pain outcomes will be collected through questionnaires at different time points after surgery in the follow-up of 6 months. Potential genetic, demographic and clinical risk factors for prediction model construction will be collected through blood, questionnaires and electronic health records, respectively. Genetic factors associated with acute and/or chronic postoperative pain will be identified using a genome-wide association analysis. Clinical risk factors as stated in the secondary objectives will be assessed by multivariable regression. A clinical easy-to-use prediction model will be created for postoperative pain to allow clinical use for the stratification of patients. ETHICS AND DISSEMINATION: The Institutional Review Board of the Radboud university medical centre approved the study (authorisation number: 2012/117). The results of this study will be made available through peer-reviewed scientific journals and presentations at relevant conferences, which will finally contribute to personalised postoperative pain management. TRIAL REGISTRATION NUMBER: NCT02383342. BMJ Publishing Group 2022-11-29 /pmc/articles/PMC9710368/ /pubmed/36446453 http://dx.doi.org/10.1136/bmjopen-2022-066134 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Surgery
Li, Song
van Boekel, Regina L M
van den Heuvel, Sandra A S
Coenen, Marieke J H
Vissers, Kris C P
Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
title Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
title_full Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
title_fullStr Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
title_full_unstemmed Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
title_short Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
title_sort pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710368/
https://www.ncbi.nlm.nih.gov/pubmed/36446453
http://dx.doi.org/10.1136/bmjopen-2022-066134
work_keys_str_mv AT lisong painpredictgeneticsprotocolforaprospectiveobservationalstudyofclinicalandgeneticfactorstopredictthedevelopmentofpostoperativepain
AT vanboekelreginalm painpredictgeneticsprotocolforaprospectiveobservationalstudyofclinicalandgeneticfactorstopredictthedevelopmentofpostoperativepain
AT vandenheuvelsandraas painpredictgeneticsprotocolforaprospectiveobservationalstudyofclinicalandgeneticfactorstopredictthedevelopmentofpostoperativepain
AT coenenmariekejh painpredictgeneticsprotocolforaprospectiveobservationalstudyofclinicalandgeneticfactorstopredictthedevelopmentofpostoperativepain
AT visserskriscp painpredictgeneticsprotocolforaprospectiveobservationalstudyofclinicalandgeneticfactorstopredictthedevelopmentofpostoperativepain