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Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol
INTRODUCTION: Sciatica is a common condition and is associated with higher levels of pain, disability, poorer quality of life, and increased use of health resources compared with low back pain alone. Although many patients recover, a third develop persistent sciatica symptoms. It remains unclear, wh...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111910/ https://www.ncbi.nlm.nih.gov/pubmed/37019481 http://dx.doi.org/10.1136/bmjopen-2023-072832 |
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author | Schmid, Annina B Ridgway, Lucy Hailey, Louise Tachrount, Mohamed Probert, Fay Martin, Kathryn R Scott, Whitney Crombez, Geert Price, Christine Robinson, Claire Koushesh, Soraya Ather, Sarim Tampin, Brigitte Barbero, Marco Nanz, Daniel Clare, Stuart Fairbank, Jeremy Baskozos, Georgios |
author_facet | Schmid, Annina B Ridgway, Lucy Hailey, Louise Tachrount, Mohamed Probert, Fay Martin, Kathryn R Scott, Whitney Crombez, Geert Price, Christine Robinson, Claire Koushesh, Soraya Ather, Sarim Tampin, Brigitte Barbero, Marco Nanz, Daniel Clare, Stuart Fairbank, Jeremy Baskozos, Georgios |
author_sort | Schmid, Annina B |
collection | PubMed |
description | INTRODUCTION: Sciatica is a common condition and is associated with higher levels of pain, disability, poorer quality of life, and increased use of health resources compared with low back pain alone. Although many patients recover, a third develop persistent sciatica symptoms. It remains unclear, why some patients develop persistent sciatica as none of the traditionally considered clinical parameters (eg, symptom severity, routine MRI) are consistent prognostic factors. The FORECAST study (factors predicting the transition from acute to persistent pain in people with ‘sciatica’) will take a different approach by exploring mechanism-based subgroups in patients with sciatica and investigate whether a mechanism-based approach can identify factors that predict pain persistence in patients with sciatica. METHODS AND ANALYSIS: We will perform a prospective longitudinal cohort study including 180 people with acute/subacute sciatica. N=168 healthy participants will provide normative data. A detailed set of variables will be assessed within 3 months after sciatica onset. This will include self-reported sensory and psychosocial profiles, quantitative sensory testing, blood inflammatory markers and advanced neuroimaging. We will determine outcome with the Sciatica Bothersomeness Index and a Numerical Pain Rating Scale for leg pain severity at 3 and 12 months. We will use principal component analysis followed by clustering methods to identify subgroups. Univariate associations and machine learning methods optimised for high dimensional small data sets will be used to identify the most powerful predictors and model selection/accuracy. The results will provide crucial information about the pathophysiological drivers of sciatica symptoms and may identify prognostic factors of pain persistence. ETHICS AND DISSEMINATION: The FORECAST study has received ethical approval (South Central Oxford C, 18/SC/0263). The dissemination strategy will be guided by our patient and public engagement activities and will include peer-reviewed publications, conference presentations, social media and podcasts. TRIAL REGISTRATION NUMBER: ISRCTN18170726; Pre-results. |
format | Online Article Text |
id | pubmed-10111910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-101119102023-04-19 Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol Schmid, Annina B Ridgway, Lucy Hailey, Louise Tachrount, Mohamed Probert, Fay Martin, Kathryn R Scott, Whitney Crombez, Geert Price, Christine Robinson, Claire Koushesh, Soraya Ather, Sarim Tampin, Brigitte Barbero, Marco Nanz, Daniel Clare, Stuart Fairbank, Jeremy Baskozos, Georgios BMJ Open Neurology INTRODUCTION: Sciatica is a common condition and is associated with higher levels of pain, disability, poorer quality of life, and increased use of health resources compared with low back pain alone. Although many patients recover, a third develop persistent sciatica symptoms. It remains unclear, why some patients develop persistent sciatica as none of the traditionally considered clinical parameters (eg, symptom severity, routine MRI) are consistent prognostic factors. The FORECAST study (factors predicting the transition from acute to persistent pain in people with ‘sciatica’) will take a different approach by exploring mechanism-based subgroups in patients with sciatica and investigate whether a mechanism-based approach can identify factors that predict pain persistence in patients with sciatica. METHODS AND ANALYSIS: We will perform a prospective longitudinal cohort study including 180 people with acute/subacute sciatica. N=168 healthy participants will provide normative data. A detailed set of variables will be assessed within 3 months after sciatica onset. This will include self-reported sensory and psychosocial profiles, quantitative sensory testing, blood inflammatory markers and advanced neuroimaging. We will determine outcome with the Sciatica Bothersomeness Index and a Numerical Pain Rating Scale for leg pain severity at 3 and 12 months. We will use principal component analysis followed by clustering methods to identify subgroups. Univariate associations and machine learning methods optimised for high dimensional small data sets will be used to identify the most powerful predictors and model selection/accuracy. The results will provide crucial information about the pathophysiological drivers of sciatica symptoms and may identify prognostic factors of pain persistence. ETHICS AND DISSEMINATION: The FORECAST study has received ethical approval (South Central Oxford C, 18/SC/0263). The dissemination strategy will be guided by our patient and public engagement activities and will include peer-reviewed publications, conference presentations, social media and podcasts. TRIAL REGISTRATION NUMBER: ISRCTN18170726; Pre-results. BMJ Publishing Group 2023-04-05 /pmc/articles/PMC10111910/ /pubmed/37019481 http://dx.doi.org/10.1136/bmjopen-2023-072832 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Neurology Schmid, Annina B Ridgway, Lucy Hailey, Louise Tachrount, Mohamed Probert, Fay Martin, Kathryn R Scott, Whitney Crombez, Geert Price, Christine Robinson, Claire Koushesh, Soraya Ather, Sarim Tampin, Brigitte Barbero, Marco Nanz, Daniel Clare, Stuart Fairbank, Jeremy Baskozos, Georgios Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol |
title | Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol |
title_full | Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol |
title_fullStr | Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol |
title_full_unstemmed | Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol |
title_short | Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol |
title_sort | factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the forecast longitudinal prognostic factor cohort study protocol |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111910/ https://www.ncbi.nlm.nih.gov/pubmed/37019481 http://dx.doi.org/10.1136/bmjopen-2023-072832 |
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