Generic and disease-adapted cardiovascular risk scores as predictors of atherosclerosis progression in SLE.

Lupus Sci Med

Rheumatology Unit, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece

Published: March 2023

AI Article Synopsis

  • The study investigates the effectiveness of both generic and disease-specific cardiovascular risk prediction tools for forecasting subclinical atherosclerosis progression in patients with Systemic Lupus Erythematosus (SLE), revealing that traditional tools may underestimate risk.
  • Among 124 SLE patients followed for about 40 months, 21% developed new atherosclerotic plaques, with the modified Framingham Risk Score (mFRS) and QRISK3 showing superior predictive abilities compared to other scores.
  • Multivariate analysis identified QRISK3 as a significant predictor of atherosclerosis progression along with factors like age, total glucocorticoid dose, and the presence of antiphospholipid antibodies.

Article Abstract

Objective: Studies show that generic cardiovascular risk (CVR) prediction tools may underestimate CVR in SLE. We examined, for the first time to our knowledge, whether generic and disease-adapted CVR scores may predict subclinical atherosclerosis progression in SLE.

Methods: We included all eligible patients with SLE without a history of cardiovascular events or diabetes mellitus, who had a 3-year carotid and femoral ultrasound follow-up examination. Five generic (Systematic Coronary Risk Evaluation (SCORE), Framingham Risk Score (FRS), Pooled Cohort Risk Equation, Globorisk, Prospective Cardiovascular Münster) and three 'SLE-adapted' CVR scores (modified Systematic Coronary Risk Evaluation (mSCORE), modified Framingham Risk Score (mFRS), QRESEARCH Risk Estimator V.3 (QRISK3)) were calculated at baseline. The performance of CVR scores to predict atherosclerosis progression (defined as new atherosclerotic plaque development) was tested with Brier Score (BS), area under the receiver operating characteristic curve (AUROC) and Matthews correlation coefficient (MCC), while rank correlation was tested with Harrell's -index. Binary logistic regression was also applied to examine determinants of subclinical atherosclerosis progression.

Results: Twenty-six (21%) of 124 included patients (90% female, mean age 44.4±11.7 years) developed new atherosclerotic plaques after a mean of 39.7±3.8 months' follow-up period. Performance analysis showed that plaque progression was better predicted by the mFRS (BS 0.14, AUROC 0.80, MCC 0.22) and QRISK3 (BS 0.16, AUROC 0.75, MCC 0.25). -Index showed no superiority for discrimination between mFRS and QRISK3. In the multivariate analysis, QRISK3 (OR 4.24, 95% CI 1.30 to 13.78, p=0.016) among the CVR prediction scores and age (OR 1.13, 95% CI 1.06 to 1.21, p<0.001), cumulative glucocorticoid dose (OR 1.04, 95% CI 1.01 to 1.07, p=0.010) and antiphospholipid antibodies (OR 3.66, 95% CI 1.24 to 10.80, p=0.019) among disease-related CVR factors were independently associated with plaque progression.

Conclusions: Application of SLE-adapted CVR scores such as QRISK3 or mFRS, as well as monitoring for glucocorticoid exposure and the presence of antiphospholipid antibodies, can help to improve CVR assessment and management in SLE.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990693PMC
http://dx.doi.org/10.1136/lupus-2022-000864DOI Listing

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