POS0214 ASSOCIATION BETWEEN C-REACTIVE PROTEIN AND 10-YEAR RISK OF CARDIOVASCULAR DISEASE IN RHEUMATOID ARTHRITIS USING THE ERS-RA SCORE: A CROSS-SECTIONAL ANALYSIS OF THE CORDIS COHORT

• Published in: Annals of the rheumatic diseases Vol. 80; no. Suppl 1; pp. 324 - 325
• Main Authors: Erre, G. L., Cacciapaglia, F., Sakellariou, G., Manfredi, A., Bartoloni Bocci, E., Viapiana, O., Fornaro, M., Dessì, M., Mangoni, A. A., Palermo, B. L., Gremese, E., Cafaro, G., Nucera, V., Vacchi, C., Spinelli, F. R., Atzeni, F., Piga, M.
• Format: Journal Article
• Language: English
• Published: 01.06.2021
• ISSN: 0003-4967; 1468-2060
• DOI: 10.1136/annrheumdis-2021-eular.2643

Background: Rheumatoid arthritis (RA) is associated with an increased risk of atherosclerotic cardiovascular disease (CVD). The Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA) estimates the 10-year risk of myocardial infarction, stroke or CVD-related death based on conventional and RA-specific (clinical disease activity index, CDAI, disease duration, glucocorticoid use) risk factors (1). Objectives: We evaluated the associations between ERS-RA 10-year risk of CVD, high-sensitivity C-reactive protein (hs-CRP) concentrations, and pharmacological treatment in 1,251 RA patients collected by the “Cardiovascular Obesity and Rheumatic Disease Study (CORDIS)” group of the Italian Society of Rheumatology (SIR). Methods: We assessed independent associations between ERS-RA risk score and each relevant variable using multivariate regression (ENTER approach; listwise deletion analysis). Given the relatively high number of missing hs-CRP data (n=385), regression analysis was also performed using multiple imputation (10 sets, Stata 16.1). Regression models were not adjusted for independent variables included in the ERS-RA score. Results: Among 1,251 RA patients [mean (SD) age 60.4(9.3), range (40-80) years; 78% female; mean (SD) disease duration, 11.6(8) years; mean (SD) CDAI, 9(9); mean (SD) HAQ, 0.77(0.7); mean (SD) hs-CRP, 6.8(12) mg/L] the estimated 10-year CVD risk was 11.6(0.9) % [mean (SD)]. Regarding treatment, 539(43%) received glucocorticoids, 676(54%) a biological or targeted synthetic disease-modifying anti-rheumatic drug (b/tsDMARD) (n missing=1), and 885(81%) at least one conventional synthetic DMARD (csDMARD). Ninety-three (7.4%) patients did not receive any treatment. After adjusting for the use of b/tsDMARD and csDMARD, hs-CRP concentrations were significantly associated with 10-year risk of CVD both in standard multiple regression (n=865; coefficient=0.005 for each 10 mg/L hs-CRP increment, 95% confidence interval (0.000-0.100), p=0.043) and after multiple imputation (n=1,251; coefficient=0.005 for each 10 mg/L hs-CRP increment, 95% confidence interval (0.000-0.114), p=0.035) (Table 1). This corresponds to an increase of 10-year CV risk of 1% for every 20 mg/L increase in hs-CRP concentrations. Conclusion: In a large cohort of RA patients, we observed a significant, positive, and independent association between hs-CRP concentrations and 10-year CV risk estimated by ERS-RA. The cross-sectional design of the study did not allow to establish a cause-effect relationship between hs-CRP and CV risk. Given that conventional CV risk factors and inflammation-related variables are accounted for in the ERS-RA risk score, other, unexplored, mechanisms may underlie the observed association between hs-CRP and CV risk. References: [1]Solomon, D. H., et al. “Derivation and internal validation of an expanded cardiovascular risk prediction score for rheumatoid arthritis: a Consortium of Rheumatology Researchers of North America Registry Study.” Arthritis & rheumatology 67.8 (2015): 1995-2003. Table 1. Multiple regression models Model 1 n= 865 Model 2 n= 1, 251 ERS-RA score Coefficient 95% CI, p Coefficient 95% CI, p hs-CRP, every 10 mg/L increment 0.005 0.000 to 0.100, 0.043 0.005 0.000 to 0.011, 0.035 b/tsDMARD use -0.002 -0.005 to 0.001, 0.199 -0.000 -0.002 to 0.002, 0.963 csDMARD use 0.002 -0.003 to 0.007, 0.394 0.002 -0.002 to 0.006, 0.371 Prob >F, model with only CRP 0.03 0.03 Prob >F, full model 0.07 0.08 A multiple linear regression (ENTER method) was performed for the dependent variable ERS-RA score using a listwise deletion analysis (Model 1) and a multiple imputation analysis (Model 2). Disclosure of Interests: None declared