在骨盆骨折患者手术前深静脉血栓形成的nomogram的构建
Wencai Li1, He Ling1, Zhao Huang1
1Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China.
BMC surgery
|October 25, 2024
概括
单细胞与淋巴细胞比率 (MLR) 可以帮助预测骨盆骨折的老年患者的深静脉血栓症 (DVT). 使用MLR的诺米图模型有助于早期DVT风险评估.
科学领域:
- 整形外科手术 整形外科手术
- 血管医学是一种血管医学.
- 生物标志物研究的研究.
背景情况:
- 骨盆骨折正在增加,特别是在老年人中.
- 深静脉血栓症 (DVT) 是预后不佳的并发症.
- 单细胞与淋巴细胞比率 (MLR) 是一种新的炎症生物标志物.
研究的目的:
- 为了评估MLR对骨盆骨折患者DVT的预测值.
- 为早期DVT风险评估开发一个名录模型.
主要方法:
- 使用了二进制物流回归分析.
- 使用R工作室构建了一个名ogram模型.
主要成果:
- 年龄,白细胞计数 (WBC) 和MLR是DVT的独立预测因素.
- 在培训和验证组中,名图表显示出良好的预测性能.
结论:
- 基于MLR的诺米图有助于临床医生评估骨盆骨折患者的DVT概率.
- 早期风险评估有可能改善患者的治疗结果.
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