Abstract

Background:Rheumatoid arthritis (RA) patients present high cardiovascular (CV) morbidity and mortality and EULAR recommends estimating their CV-risk [1]. The Systematic Coronary Risk Evaluation (SCORE) algorithm is suggested if National Guidelines are lack, but few data are available about different strategies.Objectives:To estimate the 10-years CV-risk using different algorithms in RA compared to osteoarthritis (OA) patients, as control group.Methods:A total of 1467 RA patients (78.3% female; mean age 59.8±11.5 years; mean disease duration 131±109 months), fulfilling the 2010 EULAR/ACR classification criteria, and 342 age and sex matched patients with OA (79.8% female; mean age 58.7±11.5 years) were enrolled in this multicentre cross-sectional study during 2019. Clinical and laboratory data were registered, and individual CV-risk was calculated using: SCORE chart, “Progetto Cuore” model (PCM), QRisk3, Reynolds Risk Scores (RRS) and Expanded Risk Score in RA (ERS-RA), as stated by suitable algorithms. Statistical analysis was performed using the Statistical System Graphpad Instat 8.0 (San Diego, CA-USA).Results:In 46 (3%) RA patients a previous CV event was observed. Among traditional CV-risk factors, RA patients presented higher frequency of diabetes (9.9% vs 6.4%; p=0.04) and lower prevalence of dyslipidaemia (21.7% vs 32.5%; p<0.0001) compared to OA patients. Prevalence of hypertension was similar in both groups (40% vs 39.2%). Mean BMI (25.6±4.8 vs 26.6±4.4; p<0.0001) and prevalence of obesity (15% vs 21%; p=0.003) were significantly lower in RA patients. Finally, RA patients were more frequently smokers (20.4% vs 12.5% - p=0.002). 441 (30%) RA patients were in CDAI remission, 998 (68%) patients were on csDMARDs while a biologic agent was used in 617 (42%) patients. About 43% of RA patients were on a mean prednisone-dose of 4.5±3.5 mg/day. The 10-years CV-risk resulted 2 to 3-fold higher in RA compared to OA patients using the different algorithms. The QRisk3 estimated the highest CV risk in our cohort of patients, while the ERS-RA and RRS were significantly higher than PCM and SCORE.Conclusion:Our study demonstrates a higher estimated CV-risk in RA compared to OA patients. The commonly used algorithms to estimate CV-risk in clinical practice perform differently, evaluating different traditional CV-risk factors and disease specific characteristic, as for QRisk3 or ERS-RA. Rheumatologist should impact on both traditional and RA related modifiable CV-risk factors.

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