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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

Authors :
Kathryn R Martin
Annina B Schmid
Brigitte Tampin
Marco Barbero
Christine Price
Louise Hailey
Claire Robinson
Jeremy Fairbank
Geert Crombez
Georgios Baskozos
Daniel Nanz
Sarim Ather
Lucy Ridgway
Mohamed Tachrount
Fay Probert
Whitney Scott
Soraya Koushesh
Stuart Clare
Source :
BMJ Open, Vol 13, Iss 4 (2023)
Publication Year :
2023
Publisher :
BMJ Publishing Group, 2023.

Abstract

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.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
13
Issue :
4
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.252c602d0884ff896f648bbb2a1b5b2
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2023-072832