在外围动脉疾病中发生的肉类:建立和验证基于临床和计算机断层扫描血管学指标的预测性名谱
Lu Nie1,2, Qifan Yang3, Qian Song1,2
1Department of Intervention Vascular, Wujin Hospital Affiliated with Jiangsu University, Changzhou, China.
Heliyon
|April 9, 2024
概括
这项研究开发了一种名图,用于预测外围动脉疾病 (PAD) 患者使用临床因素和成像来预测肉类风险. 该工具有助于早期识别,并改善PAD患者的预后.
科学领域:
- 血管医学 血管医学
- 老年病的医生 老年病的医生
- 放射学 放射学是一门学科.
背景情况:
- 周围动脉疾病 (PAD) 与缩症的风险增加有关.
- 在PAD患者中早期识别肉类是改善结果的关键.
- 目前在PAD中评估肉症风险的方法是有限的.
研究的目的:
- 开发和验证用于预测PAD患者萨科佩尼亚风险的诺米克图.
- 将临床和下肢计算机断层扫描血管学 (LE-CTA) 图像特征集成到预测模型中.
- 在临床上评估诺莫克图的性能和效用.
主要方法:
- 对281名PAD患者的临床数据和LE-CTA成像的回顾性分析.
- 二元逻辑回归用于识别萨科佩尼亚的独立风险因素.
- 使用ROC曲线,AUC,C指数,HL测试,校准曲线和DCA开发和验证Nomogram.
主要成果:
- 确定年龄,BMI,心脏病史,白血球数量和光线狭窄症的严重程度作为独立的危险因素.
- 诺米图实现了0.810的AUC,表明了良好的辨别能力.
- 校准曲线和HL测试证实了模型的准确性和可靠性.
结论:
- 一个简单的,经过验证的名图预测了PAD患者的肉症风险.
- 诺米图包括年龄,BMI,心脏病史,白血球数量和狭窄症的严重程度.
- 该工具增强了临床决策,用于识别高风险PAD患者.
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