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Updated: May 5, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

一种诺莫图,用于预测严重口腔和面空间感染患者的死亡率

Hanyi Zhu^1,2,3,4,5, Wentao Qian^1,2,3,4,5, Yanxiang Li^1,2,3,4,5

¹Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

|January 8, 2025

概括

这项研究确定了类风湿性关节炎病史,D-二次体和肌素是严重口腔感染中死亡率的关键预测因素. 一个新的诺莫格拉姆模型有助于预测口腔和面空间感染患者的结果.

科学领域:

口腔和牙面部外科手术
传染性疾病传染性疾病
医学预测医学预测

背景情况:

严重的口腔和大面部空间感染 (OMSI) 具有显著的死亡风险.
确定可靠的预后因素对于及时干预和改善患者结果至关重要.

研究的目的:

确定与极度严重的OMSI患者死亡率相关的风险因素.
在OMSI中开发和验证用于个人患者预后的预测性名录模型.

主要方法:

对102名极度严重的OMSI患者 (2020-2024) 的回顾性分析.
单变量和多变量逻辑回归以确定死亡的风险因素.
使用ROC曲线,校准图表和DCA进行诺米克图构造和验证.

主要成果:

六个变量与死亡率相关;三个是独立的预测因素:类风湿性关节炎 (RA) 病史,D-二次数升高和血清肌氨酸升高.
开发的名图表显示出强大的预测准确性,AUC为0.819.

结论:

类风湿性关节炎病史,D-二次体水平和血清肌素是OMSI生存的重要独立预后因素.
已建立的诺莫格拉姆模型提供了一个可靠和准确的工具,用于预测OMSI患者的预后.

关键词:

这个名字是名ogramogram.口腔和大面部空间感染.预后的预后是预后.

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