National Heart, Lung, Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Curr Rheumatol Rep. 2019 Dec 12;22(1):1. doi: 10.1007/s11926-019-0875-0.
Traditional risk models, such as the Framingham risk score, fail to capture the increased cardiovascular disease risk seen in patients with chronic inflammatory diseases. This review will cover imaging modalities and their emerging applications in assessing subclinical cardiovascular disease for both research and clinical care in patients with chronic inflammatory diseases.
Multiple imaging modalities have been studied to assess for subclinical cardiovascular disease via functional/physiologic, inflammatory, and anatomic assessment in patients with chronic inflammatory diseases. The use of imaging to evaluate subclinical cardiovascular disease in patients with chronic inflammatory diseases has the potential to capture early sub-clinical atherosclerosis, to improve risk stratification of future cardiovascular events, and to guide effective disease management.
传统的风险模型，如弗雷明汉风险评分，无法捕捉到慢性炎症性疾病患者中看到的心血管疾病风险增加。这篇综述将涵盖成像方式及其在评估慢性炎症性疾病患者亚临床心血管疾病方面的新兴应用，无论是用于研究还是临床护理。
多种成像方式已被研究用于通过功能/生理、炎症和解剖评估来评估慢性炎症性疾病患者的亚临床心血管疾病。使用影像学评估慢性炎症性疾病患者的亚临床心血管疾病有可能捕捉到早期亚临床动脉粥样硬化，改善未来心血管事件的风险分层，并指导有效的疾病管理。
