THE FORECAST STUDY: FACTORS PREDICTING PAIN PERSISTENCE IN SCIATICA. AN UPDATE ON BASELINE AND PRELIMINARY LONGITUDINAL DATA

Abstract

BackgroundFORECAST is a prospective longitudinal cohort study exploring mechanism-based prognostic factors for pain persistence in sciatica. Here, we share an update on this largest deeply-phenotyped primary care sciatica cohort.Methods/resultsOur cohort includes 180 people with sciatica (score >4 on Stynes’ Sum Score), aged 18–85, within 3 months of symptom onset. Psychosocial factors, self-reported sensory profiling, clinical examination, quantitative sensory testing (QST), biological samples (blood and skin samples), and Magnetic Resonance Neurography of lumbar nerve roots were collected at baseline. Pain persistence was determined at three and twelve months with the Sciatica Bothersomeness Index (SBI) and a numeric pain rating scale (NRS) as primary outcomes. Recruitment nears completion, with 160 participants enrolled to date. 127 and 96 participants have completed 3 and 12 months follow-up respectively.Overall, 56% of our cohort are female, with a mean age (SD) of 54.14yrs (16.57). Ethnicity data approximates local populations.SBI at baseline was (median [IQR]) 13[10-17], and interim longitudinal data shows stepwise improvement at 3 and 12 months. Baseline ‘average’ pain intensity was 5.56 (2.15) for leg pain, and 4.14(2.82) for low back pain (LBP). Overall, pain scores decreased at 3 and 12 months, with greater reductions in leg pain than LBP at 12 months. However, around 55–80% and 40–65% of people reported persistent pain at 3 and 12 months respectively.ConclusionLeg pain severity was moderate and higher than LBP at baseline. All primary outcome measures demonstrate improvement over time, however 40–65% of patients report persistent pain at 12 months.Conflicts of interestLR: Paid facilitation of post-graduate courses internationally. SK, MT, FP, KM, WS, CP, CR, SC: No conflicts of interest. GC: Editor in Chief of Health Psychology Review. Director of board of directors, MentalCHealth Care setting NoordWestVlaanderen. JF: Copyright holder of ODI (Oswestry Disability Index). Served on a data monitoring committee for a clinical trial of 2 different surgical approaches to cervical disc herniation (FORVAD). Member of HTA Prioritisation Committee B: Inside hospital Care from 2015-February 2019. Member of HTA Interventional Procedures Panel from 2010–2015. Trustee and board member of 3 spine related charities – Back to Back; British Scoliosis Research Foundation and BackCare. Expert instructed by both claimant and defendant solicitors in negligence and person injury cases. GB: Paid consultancy (RNA-seq) with Ivy Farm and Coding.bioABS: Paid post-graduate lecturing internationally. Co-chair NeupSig sciatica working group (unpaid).Sources of fundingThis project is funded by UKRI and Versus Arthritis as part of the UKRI Strategic Priorities Fund (SPF) Advanced Pain Discovery Platform (APDP), a co-funded initiative by UKRI (MRC, BBSRC, ESRC), Versus Arthritis, the Medical Research Foundation and Eli Lilly and Company Ltd (Grant MR/W027003/1). Additional funding has been received from the back to back charity to expand longitudinal components of the study. LR has received support with PhD fees from the CSP charitable trust. ABS is supported by a Wellcome Trust Clinical Career Development Fellowship(222101/Z/20/Z). WS is partly funded through the National Institute for Health and Care Research (NIHR) Biomedical Research Centre at the South London and Maudsley NHS Foundation Trust and King's College London. FP is funded by a Dorothy Hodgkin Career Development Fellowship in Chemistry in association with Somerville College. GB is supported by the Wellcome Trust (223149/Z/21/Z) and Diabetes UK (19/0005984). GC and KRM are partly funded by UKRI and Versus Arthritis as part of the Advanced Pain Discovery Platform (APDP) PAINSTORM (MR/W002388/1). The UKRI and Versus Arhthritis (APDP) are the major funders of FORECAST. All other funders provided either some people support, or funded projects with legacy data that we reuse.