| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8736575 | Best Practice & Research Clinical Rheumatology | 2017 | 9 Pages |
Abstract
The standard CVD risk calculation algorithms based on traditional risk factors underestimate the risk of developing CVD in patients with SLE. Thus, novel algorithms incorporating new biomarkers such as pro-inflammatory high-density lipoprotein and use of imaging techniques such as carotid ultrasound scanning may become increasingly valuable.
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Authors
Sara Croca, Anisur Rahman,