基于系统性免疫-炎症指数的骨高原骨折患者的深静脉血栓形成表的开发
He Ling1, Wencai Li1, Gaoyong Deng1
1Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China.
Scientific reports
|October 12, 2024
概括
系统性免疫-炎症指数 (SII) 可以帮助预测深静脉血栓症 (DVT) 在带高原骨折的患者. 一种新的诺莫格拉姆模型有助于临床医生在早期DVT风险评估中改善患者的治疗结果.
科学领域:
- 整形外科 整形外科 整形外科
- 血管外科 血管外科
- 炎症生物标志物 炎症生物标志物
背景情况:
- 骨平原骨折 (TPF) 正在增加,深静脉血栓症 (DVT) 是一个显著的并发症.
- 系统性免疫炎症指数 (SII) 是一种具有潜在预后价值的新型炎症生物标志物.
研究的目的:
- 评估SII对TPF患者DVT发生的预测能力.
- 开发和验证用于TPF患者早期DVT风险评估的诺米克图模型.
主要方法:
- 用二进制逻辑回归分析来确定DVT的预测因子.
- 使用R工作室构建了一个名图模型用于临床应用.
主要成果:
- 年龄,SII和中性粒细胞计数 (NC) 被确定为TPF患者DVT的独立预测因素.
- 在训练和验证队伍中,名图表表显示出良好的预测准确性和可靠性.
结论:
- 纳米图包含SII为TPF患者早期DVT风险分层提供了有价值的工具.
- 这个模型可以帮助临床医生及时干预和管理DVT在这个患者群体.
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