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Published on: September 27, 2024
Generic and disease-adapted cardiovascular risk scores as predictors of atherosclerosis progression in SLE
Stylianos Panopoulos1, George C Drosos2, George Konstantonis2
1Rheumatology 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.
Insights
Systemic lupus erythematosus (SLE) patients' cardiovascular risk (CVR) may be underestimated by generic tools. Disease-adapted scores like modified Framingham Risk Score (mFRS) and QRISK3 better predict atherosclerosis progression in SLE.
Area of Science:
- Rheumatology
- Cardiology
- Epidemiology
Background:
- Generic cardiovascular risk (CVR) prediction tools may underestimate CVR in patients with systemic lupus erythematosus (SLE).
- Subclinical atherosclerosis progression is a key concern in SLE management.
Purpose of the Study:
- To evaluate the predictive performance of generic and SLE-adapted CVR scores for subclinical atherosclerosis progression in SLE patients.
- To identify determinants of atherosclerosis progression in this cohort.
Main Methods:
- 124 SLE patients without prior cardiovascular events or diabetes underwent 3-year ultrasound follow-up.
- Calculated five generic (e.g., SCORE, FRS) and three SLE-adapted (mSCORE, mFRS, QRISK3) CVR scores at baseline.
- Assessed atherosclerosis progression (new plaque development) using Brier Score, AUROC, MCC, Harrell's c-index, and logistic regression.
Main Results:
- 21% of patients developed new atherosclerotic plaques over 3 years.
- SLE-adapted scores, mFRS and QRISK3, showed better prediction of plaque progression.
- QRISK3, age, cumulative glucocorticoid dose, and antiphospholipid antibodies were independently associated with plaque progression.
Conclusions:
- SLE-adapted CVR scores (QRISK3, mFRS) improve cardiovascular risk assessment in SLE.
- Monitoring glucocorticoid exposure and antiphospholipid antibodies is crucial for managing CVR in SLE patients.
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 c-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). c-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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