风险因素分析和开发的nomogram预测模型中枢静脉导管相关血栓在烧伤患者:一个追溯观察性研究研究
Qimeng Li1, Yangping Wang1, Xiaorong Zhang1
1Institute of Burn Research, State Key Laboratory of Trauma and Chemical Poisoning, Southwest Hospital, Third Military Medical University (Army Medical University), Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Thrombosis journal
|October 29, 2025
概括
与中央静脉导管 (CVC) 相关的血栓形成 (CRT) 影响了许多烧伤患者. 一个新的诺莫格拉姆模型有助于预测CRT风险,通过识别诸如燃烧指数和连续血液净化等因素,帮助早期预防.
科学领域:
- 医学研究 医学研究
- 临床信息学是一种临床信息学.
- 血栓形成的研究研究.
背景情况:
- 中枢静脉导管 (CVC) 相关的血栓形成 (CRT) 是烧伤患者的常见并发症.
- 早期预测CRT对于有效的预防策略至关重要.
- 目前,还没有专门的工具可以预测烧伤群体的CRT.
研究的目的:
- 在烧伤患者中调查与CRT相关的风险因素.
- 在这个特定人群中开发CRT的预测模型.
- 改善早期识别和预防CRT.
主要方法:
- 在中国西南的一家烧伤中心进行的回顾性观察研究 (2018-2022).
- 包括成年烧伤患者与中央静脉导管.
- 收集和分析临床数据,血栓形成概况和导管管理.
主要成果:
- 在271名烧伤患者中,CRT的发生率为13.28%.
- 确定了独立的风险因素:燃烧指数和持续的血液净化.
- 开发了一个预测性名ogram模型,其AUROC为0.75.
结论:
- 在烧伤患者群体中,CRT发病率特别高.
- 开发的诺莫图谱提供了一种定量工具,用于识别高风险患者.
- 临床医生可以使用这个名图进行定期评估和早期CRT风险识别.
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