开发一种预测性诺莫图谱,用于治疗尿病相关阻塞性肺炎患者的败血症
Yi-Chun Tsai1, Yu-Hsuan Huang2, Kuang-Yu Niu2
1Department of Nursing, Chang Gung University of Science and Technology, Taoyuan 333, Taiwan.
Medicina (Kaunas, Lithuania)
|July 27, 2024
概括
患有与尿病相关的阻塞性肌炎 (UROP) 和糖尿病 (DM),较高的冲击指数 (SI),较高的C反应蛋白 (CRP) 和中性粒细胞与淋巴细胞比率 (NLR) 的患者面临更高的败血症风险.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 传染性疾病 传染性疾病
- 关键护理医学 关键护理医学
背景情况:
- 与尿病相关的阻塞性发炎 (UROP) 具有严重的败血症风险,这是一种危及生命的并发症.
- 早期识别UROP患者的败血症风险因素对于改善结果至关重要.
研究的目的:
- 确定UROP患者中败血症发展的独立风险因素.
- 开发和验证UROP患者中败血症的预测性名录模型.
主要方法:
- 对2016年至2021年期间入院的148名UROP患者的回顾性分析.
- 根据Sepsis-3标准定义的败血症;使用LASSO和多变量逻辑回归确定的风险因素.
- 使用接收器运行特征曲线 (AUC) 下的面积构建和验证了一个预测性名图.
主要成果:
- 败血症发生在46名患者中 (31.1%).
- 败血症的独立危险因素包括糖尿病史 (DM) (OR=4.24),高冲击指数 (SI) (OR=1.55),C反应蛋白 (CRP) (OR=1.08) 和中性粒细胞与淋巴细胞比率 (NLR) (OR=1.58).
- 诺米图实现了0.890的AUC,表明了良好的预测准确性.
结论:
- DM,较高的SI,升高的CRP和增加的NLR是UROP患者败血症的显著预测因素.
- 开发的名图可以帮助临床医生在UROP患者中分层化败血症风险.
- 对于高风险个体来说,迅速开始治疗是必不可少的.
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