一种基于InLDH和InNLR的诺米克图,用于预测热中风患者的散布性血管内凝血
Lulu Wan1, Gan Lin2,3, Jiale Yang2,4
1Department of Intensive Care Unit, Longgang Central Hospital of Shenzhen, Shenzhen, China.
Therapeutic advances in hematology
|January 13, 2025
概括
在热中风 (HS) 中早期检测散布性血管内凝血 (DIC) 是至关重要的. 使用乳酸脱酶 (LDH) 和中性粒细胞-淋巴细胞比率 (NLR) 的新预测模型有效地识别了患有DIC风险的患者,使得及时干预成为可能.
科学领域:
- 关键护理医学 关键护理医学
- 血液学 血液学 血液学
- 环境健康 环境健康
背景情况:
- 热中风 (HS) 是一种严重的热相关疾病,死亡率高.
- 分布式血管内凝血 (DIC) 经常使HS复杂化,使患者的预后恶化.
- 目前的DIC诊断分数往往缺乏HS患者早期检测的敏感性.
研究的目的:
- 在被诊断为热中风的患者中识别DIC的早期预测因素.
- 开发和验证用于HS早期DIC识别的预测模型.
主要方法:
- 从219名热中风患者 (2008-2020年) 的临床数据的回顾性分析.
- 后勤回归分析以确定DIC的独立风险因素.
- 使用接收器操作特征 (ROC) 曲线构建和外部验证预测模型.
主要成果:
- 在HS中发现了9个独立的DIC风险因素,包括乳酸脱酶 (LDH) 和中性粒细胞-淋巴细胞比率 (NLR).
- 结合LDH (InLDH) 的对数和NLR (InNLR) 的对数的预测模型显示出高预测效率 (AUC=0.928).
- 一个基于InLDH和InNLR的nomogram被开发出来,显示出优异的区分和校准.
结论:
- 中性细胞百分比,淋巴细胞计数/百分比,CKMB,LDH,AST,NLR,MLR和狂犬病是HS中DIC的重要危险因素.
- 使用InLDH和InNLR的预测模型有效地预测了热中风患者的DIC发病率.
- 开发的诺米图表有助于早期识别DIC,及时启动HS患者的治疗.
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