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开发和验证Nomogram用于预测患有败血症引起的多器官功能障碍综合征的患者

Jinling Ji¹, Qiong Wang², Kai Wang³

¹Jinling Ji, Department of Medical Laboratory, The Affiliated Huai'an No.1 People's Hospital of Nanjing, Medical University, Huai'an, Jiangsu223300, China.

Pakistan journal of medical sciences

|April 28, 2025

概括

这项研究开发了一种预测模型,用于医院住院患者的败血症诱导多器官功能障碍综合征 (SI-MODS). 纳入关键临床变量的诺米图表显示出强大的预测性能和基于风险的决策的临床实用性.

科学领域:

关键护理医学关键护理医学
临床预测模型临床预测模型
败血症研究败血症研究

背景情况:

败血症引起的多器官功能障碍综合征 (SI-MODS) 是住院患者死亡的主要原因.
准确的风险预测对于及时干预和改善患者结果至关重要.

研究的目的:

开发和验证SI-MODS在住院败血症患者中的预测模型.
确定与SI-MODS发展相关的关键临床变量.

主要方法:

对415名住院的败血症患者进行了回顾性队列研究.
使用LASSO回归用于变量选择和多变量逻辑回归用于名ogram开发.
内部验证包括引导,校准,歧视和决策曲线分析.

主要成果:

SI-MODS发生在11.1%的患者中.
开发了一种七个变量的名图,达到0.903的AUC (95%CI:0.863-0.943).
该名图显示了强大的校准和临床实用性,用于预测SI-MODS风险.

结论:

一个经过验证的包含PaO2,LAC,多药耐药细菌,败血症,凝血障碍,机械通风和功能衰竭的验证名录可以预测SI-MODS风险.
这种工具有助于临床医生做出明智的基于风险的决策,并为败血症患者制定治疗策略.

关键词:

这个名字叫做Nomogram.可能性的概率.风险风险风险风险风险这就是SI-MODS.败血症这是一种败血症.一个可变的变量.

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