OP0310 DIFFERENCES IN STRUCTURAL LESIONS OF THE SPINE BETWEEN PATIENTS WITH EARLY axSpA AND NON-axSpA CHRONIC BACK PAIN: 2-YEAR RESULTS OF THE SPACE COHORT
Bibliographic record
Abstract
Background: Structural lesions of the spine on conventional radiography (CR) and magnetic resonance imaging (MRI) are typical characteristics of advanced axSpA. However, in early disease, they are less well understood. It is unknown how structural lesions and their progression over time differ between chronic back pain (CBP) patients with and without early axSpA. Objectives: To compare structural lesions of the spine on CR and MRI over 2 years (2Y), as well as their 2Y-change, between patients with early axSpA and non-axSpA CBP. Methods: Patients included in the Spondyloarthritis Caught Early cohort (CBP ≥3 months and ≤2 years, starting <45 years), were diagnosed with axSpA or non-axSpA CBP by their rheumatologist at 2Y follow-up [1]. Only patients with available imaging (CR and/or MRI) at both BL and 2Y were included. Spinal lesions on CR (BL, 1Y, 2Y) were assessed by three central readers using the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). The mSASSS was calculated based on the average among 3 readers and ≥2 out of 3 reader agreement was used for the presence of syndesmophytes. Structural lesions on spinal MRIs (BL, 1Y, 2Y) were assessed by two central readers using the Canada-Denmark scoring system. The total number of structural lesions, and individually erosions, bone spurs, fat lesions, and ankylosis, was analyzed based on the agreement of both readers. Additionally, the number of patients meeting different cut-offs (≥3 erosions, ≥1 bone spur, ≥3 fat lesions, ≥5 fat lesions, ≥5 fat lesions and/or erosions at BL and 2Y) was assessed using the same strategy. Generalized Estimating Equations (GEE) models were used to assess the progression of structural lesions over 2Y, adjusting for age, sex, NSAID use, and diagnosis. Results: CR data from 318 (214 axSpA, 108 non-axSpA) patients and MRI data from 351 (242 axSpA, 109 non-axSpA) patients were included. Overall, 278 patients had both CR and MRI available at BL and 2Y [mean (SD) age 30 (8) years, 46% males, 61% HLA-B27+]. On CR, the mean (SD) BL mSASSS was 0.6 (1.1) in both axSpA and non-axSpA. Mean mSASSS was slightly higher at 2Y than BL for each diagnostic category, but no differences were found between patients with axSpA and non-axSpA (Figure 1). The proportion of patients with ≥1 new syndesmophyte was comparable between groups (2% in each). On MRI, axSpA patients had a mean of 0.3 (1.1) fat lesions compared with 0.2 (1.1) in non-axSpA at BL (Figure 2A). The 2Y increase in the mean total number structural lesions [0.5 (1.8)] was mainly driven by the increase in fat lesions [0.5 (1.6), p=0.01] in the axSpA group (Figure 2A and 2B). At 2Y, the axSpA group had significantly more fat lesions and total structural lesions compared to the non-axSpA group (p=0.004 for both), and no differences were observed for other lesions. The proportion of axSpA patients with ≥5 fat lesions and ≥5 fat lesions and/or erosions was higher at 2Y compared to BL (from 2% to 5%, p=0.01 for both). In terms of new structural lesions, the proportion of patients with ≥3 and ≥5 new fat lesions were higher in the axSpA than non-axSpA group (10% vs 1%, p=0.001 and 4% vs 0, p=0.03, respectively). In the non-axSpA group, there was no difference from BL to 2Y for any of the MRI structural lesions. Over 2Y, the progression of spinal structural lesions was similar between the axSpA and non-axSpA groups on CR, with overall mSASSS progression being minimal, specifically 0.01 mSASSS units per year. On MRI, fat lesions progressed at a rate of 0.16 units/year in axSpA and -0.02 units/year in non-axSpA. The remaining lesions showed no significant progression. Conclusion: Over 2 years, there is minimal progression of spinal structural damage on CR in both early axSpA and non-axSpA CBP, with similar mSASSS between groups. On MRI, there is a significant increase in the number of fat lesions in axSpA, contrasting with non-axSpA in which no progression is observed. Fat lesions may be important to assess disease progression from early disease onwards. REFERENCES: [1] Marques et al. Ann Rheum Dis. 2024;83(5):589-598. Figure 1Status and change scores of mSASSS and number of syndesmophytes in axSpA and non-axSpA CBP patients. Lines indicate p-values for BL to 2Y differences within groups and between-group differences in 2Y change scores. No significant difference was observed at BL and 2Y between axSpA and non-axSpA. BL, Baseline; 2Y, 2-years; CBP, Chronic back pain; NS, Non-significant Figure 2 A. Status scores of MRI spinal structural lesions in axSpA and non-axSpA CBP. B. 2Y change scores of MRI spinal structural lesions in axSpA and non-axSpA CBP. In Figure 2A; Lines indicate p-values for BL to 2Y differences within groups. Differences between the axSpA and non-axSpA groups at BL or 2Y for individual lesions are marked with a superscript (^). In Figure 2B, lines indicate p-values between the axSpA and non-axSpA -. BL, Baseline; 2Y, 2-years;CBP, Chronic back pain; NS, Non-significant Acknowledgements: NIL . Disclosure of Interests: Gizem Ayan: None declared, Liese de Bruin: None declared, Miranda van Lunteren: None declared, Manouk de Hooge has received consultancy fees from UCB Pharma, Ana Bento da Silva: None declared, Mary Lucy Marques has received speaker fees from Novartis, and consultancy fees from Novartis, Monique Reijnierse: None declared, Victoria Navarro-Compán: None declared, Marleen G.H. van de Sande has received speaker fees from Benecke, Eli Lilly, Janssen, Novartis, UCB, consultancy fees from Abbvie, Janssen, Novartis, UCB, and grants from Janssen, Novartis, UCB, Inger Jorid Berg: None declared, Roberta Ramonda: None declared, Sofia Exarchou has received speaker fees from Novartis and UCB Pharma, and consultancy fees from AbbVie, Amgen, Eli Lilly, Janssen, Novartis and UCB Pharma, Désirée van der Heijde has received consultancy fees from AbbVie, Alfasigma, ArgenX, BMS, Elly-Lilly, Grey-Wolf Therapeutics, Janssen, Novartis, Pfizer, Takeda, UCB Pharma, Floris van Gaalen has received consultancy fees from Novartis, MSD, AbbVie Bristol Myers Squibb and Eli Lilly, and grants from Stichting vrienden van Sole Mio, Stichting ASAS, Novartis, UCB, Sofia Ramiro has received speaker fees from Eli Lilly, Novartis and UCB, consultancy fees from AbbVie, Eli Lilly, Galapagos/Alfasigma, Janssen, MSD, Pfizer, UCB, Sanofi, and grants from AbbVie, Galapagos/Alfasigma, MSD, Novartis, Pfizer, UCB © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".