POS0728 QRISK3 RELATION TO CAROTID PLAQUE IS HIGHER THAN THAT OF SCORE IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS

Background: Systemic lupus erythematosus (SLE) has been described as an independent risk factor for the development of cardiovascular (CV) disease. Recently, QRESEARCH risk estimator version 3 (QRISK3) calculator has been released for the assessment of CV risk in general population. QRISK3 now includes the presence of SLE as one of its variables for the calculation of CV risk. Objectives: We aim to compare, in patients with SLE, the predictive capacity between QRISK3 and Systematic COronary Risk Evaluation (SCORE) for the presence of carotid subclinical atherosclerosis. Methods: 296 patients with SLE were recruited. The presence of carotid plaque and carotid intima media thickness (cIMT) were assessed through ultrasound. QRISK3 and SCORE were calculated. The relation of QRISK3 and SCORE between themselves and to the presence of carotid subclinical atherosclerosis (both carotid plaque and cIMT) was studied. Results: Most of the patients were female (95%) and average age was 51 ± 12 years. Traditional cardiovascular risk factors were prevalent, as shown in table 1. Most SLE patients were in the no activity (41%) or mild activity (29%) categories as shown by the SLEDAI scores. SLICC and Katz indexes were, respectively, 1 (IQR 0-2) and 2 (IQR 1-4). Seventy-one percent of the patients had a SLICC/ACR DI score equal to or higher than 1, and 39% had a Katz index equal to or higher than 3. Almost half of the patients (47%) were taking prednisone (the median dose of those 139 patients on prednisone was 5 [IQR 2.5-5] mg/day at the time of the study). DMARDs use was reported in 77% of the patients and 69% were taking hydroxychloroquine at the time the study was performed. SCORE and QRISK3 did not correlate between them in patients with SLE. In this sense, QRISK3, both calculated including the SLE item (Rho Spearman r=-0.008, p=0.90) or not (Rho Spearman r=-0.009, p=0.96), did not correlate with SCORE. This lack of correlation was also found when the corresponding categorizations of both scores were used. For example, patients with a QRISK> = 10 did not show a higher SCORE when compared to patients with a QRISK3 Relation of QRISK3 and SCORE to cIMT and to the presence of carotid plaque is shown in Figure 1. QRISK3 was statistically significantly correlated with cIMT (Rho Spearman r=-0.420, p=0.000). However, this relation was not found between SCORE and cIMT (Rho Spearman r=-0.005, p=0.93). Moreover, QRISK3 showed a statistically significant discrimination for the presence of carotid plaque (AUC 0.765 (95%CI 0.711-0.820). This relation was found to be significant both when QRISK3 was calculated with the SLE variable item or not. However, in patients with SLE, SCORE did not show a significant discrimination for the presence of carotid plaque (0.561 (95%CI 0.494-0.629). Additionally, a statistical significant difference was observed between the AUC of QRISK3 and SCORE (p=0.000). Conclusion: QRISK3 discrimination for carotid plaque is higher than that of the SCORE. QRISK3, and not SCORE, should be use for the calculation of CV risk in patients with SLE. Disclosure of Interests: None declared