评估慢性炎症类类风湿病患者心血管风险尺度的可靠性
Javier Llorca1, Iván Ferraz-Amaro2, Santos Castañeda3
1CIBER Epidemiología y Salud Pública (CIBERESP) and Department of Medical and Surgical Sciences, University of Cantabria; Santander, Spain.
心血管疾病风险得分SCORE2,PREVENT-CVD和PREVENT-ASCVD在慢性炎症性类风湿性疾病 (CIRD) 患者中显示出高相关性. 这些分数可以互换用于识别高风险个体,与QRISK3.3不同.
科学领域:
- 类风湿病学 类风湿病学
- 心血管医学 心血管医学
- 流行病学 流行病学
背景情况:
- 慢性炎症性类风湿性疾病 (CIRD) 与心血管疾病 (CVD) 风险增加有关.
- 准确的心血管疾病风险估计对于管理CIRD患者至关重要.
- 存在多种风险预测模型,但它们在CIRD群体中的表现需要评估.
研究的目的:
- 为了比较QRISK3,SCORE2和PREVENT风险估计器在西班牙CIRD患者队列中的性能.
- 评估这些CVD风险评分在这个特定人群中的可靠性和可互换性.
主要方法:
- 该CARMA项目招募了2080名来自西班牙67家医院的CIRD患者 (风湿性关节炎,结性脊柱炎,牛皮关节炎).
- 基于招聘数据,使用QRISK3,SCORE2,PREVENT-CVD和PREVENT-ASCVD计算了10年心血管疾病发病风险得分.
- 对患者的数据进行了评估,随访时间为10年.
主要成果:
- QRISK3和PREVENT-CVD预测了大约10%的心血管事件,而SCORE2和PREVENT-ASCVD预测了6.3%.
- 在风险分数之间观察到高线性相关性 (平均值为0.9074),其中较低的相关性涉及QRISK3.
- 与QRISK3.3相比,SCORE2,PREVENT-CVD和PREVENT-ASCVD在识别高风险患者方面显示出更高的一致性 (kappa指数).
结论:
- 在CIRD患者中,SCORE2,PREVENT-CVD和PREVENT-ASCVD显示出高度的相关性和可靠性.
- 这三个风险分数似乎在很大程度上可以互换,用于识别这个队列中的高风险个体.
- QRISK3与其他风险分层工具的一致性较低.
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