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诺莫格拉姆模型用于预测肺移植接受者的住院死亡率:一项回顾性队列研究

Sangsang Qiu¹, Qinfen Xu¹, Qinhong Huang¹

¹Department of Infection Control, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, 214023, PR China.

Respiratory medicine

|September 21, 2025

概括

一种新型的诺米图准确地预测了肺移植 (LTx) 后的住院死亡率. 它确定了关键的风险因素,改善了LTx接受者的患者管理和结果.

科学领域:

心脏病学和胸部外科手术
移植医学移植医学
关键护理医学关键护理医学

背景情况:

肺移植 (LTx) 是对末期肺病的一种救命手术.
在LTx后,住院死亡率仍然是一个重大挑战.
确定术后风险因素对于改善患者的治疗结果至关重要.

研究的目的:

开发和验证肺移植接受者医院死亡率的预测性名录.
确定与LTx后早期死亡相关的关键外科手术期间风险因素.

主要方法:

对1355名LTx受益人的回顾性分析.
最小绝对缩小和选择运算符 (LASSO) 回归用于预测器识别.
使用校准曲线,决策曲线分析和ROC曲线构建和验证nomogram.

主要成果:

整体住院死亡率为14.5%,大多数死亡发生在20天内.
关键预测因素包括年龄,ICU停留,缺血时间,输血,CRP,血清,PGD,RRT和ECMO.
该名图显示出高预测准确度 (AUROC:0.874),表现优于SOFA和APACHE II分数.

结论:

术后风险因素在LTx中显著影响住院死亡率.
开发的诺米图是预测早期死亡率的可靠工具.
这种工具可以帮助临床医生优化患者管理并改善LTx结果.

关键词:

住院死亡率住院死亡率肺移植肺移植肺移植这个名字叫做Nomogram.风险预测模型的风险预测模型

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