Thromboelastography Maximum Amplitude Is a Valuable Biomarker for Early Atherosclerosis in Rheumatoid Arthritis Patients: A Single-Center Cross-Sectional Study

血栓弹力图最大振幅是类风湿性关节炎患者早期动脉粥样硬化的有效生物标志物:一项单中心横断面研究

阅读:1

Abstract

Hypercoagulability contributes to atherosclerosis (AS) progression in individuals suffering from rheumatoid arthritis (RA), and thromboelastography (TEG) is a valuable diagnostic tool. This hospital-based cross-sectional study assessed the clinical efficacy of TEG parameters in detecting hypercoagulability and subclinical AS by purposively sampling 372 RA patients and 105 healthy controls. TEG indices, conventional coagulation markers, and biochemical profiles were assessed. Multivariable logistic modeling and receiver operating characteristic (ROC) analyses were utilized to identify independent risk factors for early AS in patients with RA. Our results indicated that patients with RA experienced a hypercoagulable state in comparison to controls, which was particularly pronounced in RA patients with early AS compared to their non-AS counterparts. Logistic regression analysis revealed that the TEG maximum amplitude (MA) is an independent risk factor for early AS in patients with RA, with an odds ratio of 1.219 and a 95% confidence interval of 1.128-1.317. Additional independent risk factors identified are fibrinogen (FIB), low-density lipoprotein cholesterol (LDL-C), and the adjusted atherogenic index of plasma (aAIP). ROC analysis revealed that MA achieved an area under the curve (AUC) of 0.711 (sensitivity: 71.5%; specificity: 63.5%) for early AS diagnosis. Combining with FIB, LDL-C, and aAIP significantly enhanced diagnostic performance, with an AUC of 0.831 (sensitivity: 77.6%; specificity: 75.3%). These findings highlight MA as a valuable biomarker for early detection of AS in patients with RA. Furthermore, integrating MA with FIB, LDL-C, and aAIP improves diagnostic accuracy, supporting its clinical role in risk stratification and early intervention.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。