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POS1240 (2026)
EXPLORING THE ROLE OF CENTRALLY AUGMENTED PAIN PROCESSING ON DISABILITY IN RHEUMATOID ARTHRITIS: DATA FROM THE CENTRAL ASPECTS OF PAIN IN RHEUMATOID ARTHRITIS (CAP-RA) STUDY
Keywords: Observational studies/registries, Pain, Physical therapy, Physiotherapy, And Physical Activity, Fatigue, Lifestyles
C. Ainsworth1,2,3, D. McWilliams1,2,3, D. Walsh1,2,3,4, V. Georgopoulos1,2,3, S. Smith1,2,3
1University of Nottingham, Arthritis UK Pain Centre, Nottingham, United Kingdom
2University of Nottingham, Injury, Recovery, and Inflammation Sciences, Nottingham, United Kingdom
3University of Nottingham, NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom
4Sherwood Forest NHS Foundation Trust, Rheumatology, Nottingham, United Kingdom

Background: Musculoskeletal pain significantly affects people with rheumatoid arthritis (RA), impacting their functional ability. Prolonged inflammatory processes may sensitise the nervous system and the neurons innervating peripheral joints, leading to increased activity in the central nervous system (CNS) and disproportionate and widespread pain. Individuals with RA often report difficulties undertaking everyday tasks. Pain makes it unpleasant to do everyday activities and is associated with disability. The association between pain and disability might not be driven by pain intensity alone. It is important to understand the extent to which augmented central pain processing influences disability in RA.


Objectives: It is hypothesised that augmented central pain processing will be associated with disability in individuals with RA.


Methods: As part of the Central Aspects of Pain in RA (CAP-RA) study, adults with RA and pain ≥4/10 were recruited from Nottinghamshire hospitals and the Investigating Musculoskeletal Health and Wellbeing Cohort. Augmented central pain processing was assessed using quantitative sensory testing (QST: Pressure Pain detection Threshold [PPT], Temporal Summation of Pain [TSP], and Conditioned Pain Modulation [CPM]), the Central Aspects of Pain (CAP), and Central Sensitisation Inventory Short form (CSI-9) questionnaires. The Health Assessment Questionnaire (HAQ) assessed disability. Visual Analog Scales for pain now, average pain and strongest pain over the past 4 weeks were combined into a single ‘combined pain’ score, normalised into a 0-10 score. Inflammation was assessed using the Disease Activity Score 28, C-reactive protein (CRP), and Backhaus-7 Greyscale and Power Doppler ultrasound, scored using EULAR-OMERACT criteria. The Bristol Rheumatoid Arthritis Fatigue scale (BRAF) assessed fatigue. Assessments were completed at baseline and 12 weeks. Spearman Correlations and linear regressions assessed associations (β (95% CI) p-value), with adjusted R 2 used to quantify the percentage variance explained. Data are presented as mean ± SD or median (IQR).


Results: At baseline, 194 people completed assessments, with a mean age of 65.8±11.3 years, 74% were female, a BMI of 29.2±5.8 kg/m2, a DAS28-CRP of 4.4±1.2, CAP score of 9.0 (1.0, 11.0)/16 a CSI-9 score of 21.0 (16.3, 26.0)/36, a HAQ score of 1.6 (1.1, 2.0)/3, and with combined pain of 6.7 (5.0, 8.0)/10. At 12 weeks, the CAP score was 7.0 (5.0, 11.0), the CSI-9 was 19.5 (16.0, 25.0), the HAQ was 1.6 (1.1, 2.0), and the combined pain score was 6.3 (4.0, 7.7). Baseline augmented central pain measures (CAP, CSI-9) were significantly associated with disability (Table 1), whilst QST measures were not. In multivariable regression models, CAP, but not CSI-9, remained significantly associated with HAQ (Table 1). No independent predictors were significantly associated with 12-week HAQ scores (Table 1). Changes in CAP and CSI from baseline to 12 weeks were associated with changes HAQ (Table 1).


Conclusions: Augmented central pain processing (CAP, CSI-9) might influence disability (HAQ), beyond the effects of pain severity. Longitudinally, measures of augmented pain processing were not associated with disability, but this could reflect the minimal change in HAQ score over 12 weeks. Changes in CAP and CSI-9 were associated with changes in HAQ, suggesting that objective measures of augmented central pain processing may contribute to disability. Interventions targeting improved physical functioning should consider augmented central pain processing alongside pain severity for optimal rehabilitation outcomes.

Regression models between augmented central pain processing and disability.

Baseline HAQ 12-week HAQ
Bivariate Models
CAP 0.72(0.56, 0.88) p<0.001 aR 2 =0.46 p<0.001 0.68(0.53, 0.82) p<0.001 aR 2 =0.44 p<0.001
CSI-9 0.48(0.26, 0.69) p<0.001 aR 2 =0.16 p<0.001 0.45(0.28, 0.63) p<0.001 aR 2 =0.18 p<0.001
PPT tibialis anterior -0.21(-0.42, -0.01) p=0.155 aR 2 =0.04 p=0.039
PPT brachioradialis -0.13(-0.34,0.07) p=0.404 aR 2= 0.01 p=0.202
TSP 0.15(-0.06, 0.35) p=0.375 aR 2 =0.01 p=0.156
CPM -0.18(-0.39, 0.02) p=0.247 aR 2 =0.02 p=0.082
Multivariable models
Model 1
CAP 0.71(0.42, 1.0) p<0.001 0.07(-0.20, 0.37) p=0.547
Age 0.20(0.04, 0.37) p=0.016 -0.04(-0.18, 0.09) p=0.532
Sex -0.20(0.82, 0.70) p=0.014 -0.05(-0.17, 0.08) p=0.469
BMI 0.06(-0.09, 0.22) p=0.424 -0.00(-0.13, 0.12) p=0.955
Combined pain -0.02(-0.25, 0.21) p=0.876 0.02(-0.17, 0.22) p=0.821
CRP 0.11(-0.05, 0.27) p=0.182 -0.02(-0.14, 0.10) p=0.756
Fatigue -0.00(-0.26, 0.25) p=0.997 0.14(-0.06, 0.34) p=0.175
HAQ 0.67(0.48, 0.86) p<0.001
aR 2 =0.49 p<0.001 aR 2 =0.70 p<0.001
Model 2
CSI-9 -0.03(-0.32, 0.26) p=0.832 -0.05(-0.15, 0.25) p=0.625
Age 0.15(-0.03, 0.34) p=0.101 -0.05(-0.18, 0.08) p=0.455
Sex -0.18(0.83, 0.70) p=0.047 -0.03(-15, 0.09) p=0.628
BMI 0.13(-0.04, 0.30) p=0.132 0.00(-0.12, 0.12) p=0.999
Combined pain 0.23(-0.00, 0.47) p=0.055 0.05(-0.13, 0.22) p=0.619
CRP 0.08(-0.09, 0.26) p=0.34 -0.02(-0.14, 0.10) p=0.755
Fatigue 0.46(0.18, 0.75) p=0.002 0.15(-0.07, 0.36) p=0.177
HAQ 0.71(0.55, 0.36) p<0.001
aR 2 =0.36 p<0.001 aR 2 =0.70 p<0.001
Model 3
Change CAP 0.32(0.08, 0.57) p=0.009
Age -0.12(-0.37, 0.12) p=0.312
Sex -0.05(-0.28, 0.17) p=0.630
BMI -0.05(-0.28, 0.18) p=0.644
Combined pain 0.15(-0.18, 0.48) p=0.378
CRP -0.05(-0.28, 0.17) p=625
Fatigue 0.33(0.03, 0.63) p=0.032
HAQ -0.44(-0.73, 0.14) p=0.004
aR 2 =0.19 p=0.005
Model 4
Change CSI-9 0.28(0.04, 0.53) p=0.025
Age -0.08(-0.33, 0.17) p=0.525
Sex -0.09(-0.32, 0.13) p=0.411
BMI -0.02(-0.25, 0.21) p=0.871
Combined pain 0.14(-0.19, 0.48) p=0.395
CRP 0.05(-0.28, 0.17) p=0.628
Fatigue 0.38(0.28, 0.17) p=0.016
HAQ -0.54(0.07, 0.69) p<0.001
aR 2 =0.17 p=0.011
Data presented as β (95% CI) p-value. Model-level Benjamini-Hochberg corrected for multiple comparisons. CAP: Central Aspects of Pain Questionnaire; CSI-9: Central Sensitisation Inventory Short Form; PPT: Pressure pain detection threshold; TSP: temporal summation of pain; CPM: conditioned pain modulation; BMI: Body mass Index; CRP: C-reactive protein; HAQ: Health Assessment Questionnaire.

REFERENCES: NIL.


Acknowledgments: NIL.


Disclosure of Interests: Charlotte Ainsworth: None declared, Daniel McWilliams Pfizer, Eli Lilly and Company, Orion Pharma, UCB, GSK., David Walsh Pfizer, Eli Lilly and Company, Orion Pharma, UCB, GSK., Vasileios Georgopoulos: None declared, Stephanie Smith: None declared.


DOI: annrheumdis-2026-eular.B.4177
Keywords: Observational studies/registries, Pain, Physical therapy, Physiotherapy, And Physical Activity, Fatigue, Lifestyles
Citation: , volume 85, supplement 1, year 2026, page s1263
Session: Poster View VIII (Poster View)