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使用临床和炎症生物标志物数据预测周围动脉疾病的预后

Ben Li^1,2,3,4, Farah Shaikh², Abdelrahman Zamzam²

¹Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

Journal of inflammation research

|July 29, 2024

概括

这项研究开发了一种对外围动脉疾病 (PAD) 预后的预测模型. 将临床数据与炎症生物标志物的结合显著改善了主要不良四肢事件 (MALE) 的预测.

科学领域:

生物标志物和疾病预后
心血管研究研究心血管研究
炎症和血管疾病.

背景情况:

周围动脉疾病 (PAD) 的预后通常使用单个炎症生物标志物进行评估.
综合多种炎症蛋白质的综合算法可以提高PAD结果的预测准确性.
在PAD患者中,主要不良四肢事件 (MALE) 需要改进预测策略.

研究的目的:

开发和验证2年PAD相关的男性预测模型.
评估将临床特征与炎症生物标志物组合用于PAD预后的实用性.
为了提高PAD结果的预测准确度,超越传统的临床因素.

主要方法:

一项使用发现和验证队列与PAD和非PAD患者进行预后研究.
测量了29种炎症蛋白质的血度.
采用随机森林模型,利用临床数据和差异表达的炎症生物标志物预测2年的MALE.

主要成果:

在PAD患者中,五种炎症蛋白 (MMP-7,MMP-10,IL-6,CCL2/MCP-1,TFPI) 的水平升高.
预测模型仅使用临床特征就实现了0.63的接收器操作特征曲线 (AUROC) 下的面积.
纳入炎症生物标志物水平提高了该模型的预测性能,为2岁男性的AUROC为0.84.

结论:

使用临床特征和炎症生物标志物数据开发了PAD预后的准确预测模型.
炎症生物标志物的整合显著提高了PAD患者MALE的预测.
这种方法为评估PAD预后和指导临床管理提供了更精确的工具.

关键词:

炎症生物标志物炎症生物标志物周围动脉疾病是什么?预测模型是一个预测模型.预后预后预后

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