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开发和内部验证一种与代谢相关的模型,用于预测新生儿败血症30天死亡率

Xiangwen Tu¹, Junkun Chen¹, Wen Liu²

¹Laboratory of Eugenics Genetics, GanZhou Women and Children's Health Care Hospital, GanZhou, Jiangxi, China.

BMC infectious diseases

|January 28, 2025

概括

这项研究开发了一种基于新陈代谢的模型,用于预测新生儿败血症的30天死亡率. 关键的代谢因子如氨酸和氨酸有助于评估新生儿的生存风险.

科学领域:

新生儿医学新生儿医学
代谢研究的研究.
传染病流行病学传染病流行病学

背景情况:

新生儿败血症是一种具有高死亡率的严重疾病.
代谢障碍显著影响败血症的进展.
准确预测死亡率对于及时干预至关重要.

研究的目的:

开发一个与新生儿败血症30天死亡率的代谢相关的预测模型.
确定与新生儿败血症死亡率相关的关键代谢因素.

主要方法:

对156例新生儿败血症病例 (2019-2022) 的回顾性分析.
多变量后勤回归用于识别独立的风险因素.
诺米图模型开发和内部验证 (10倍交叉验证).
使用ROC曲线,校准曲线和DCA进行性能评估.

主要成果:

亚兰氨酸 (ALA),氨酸 (CIT),八甲甲氨酸 (C18) 和甲氨酸 (MET) 被确定为独立的风险因素.
预测模型实现了0.866.6的AUC.
该模型显示出出色的预测性能和临床适用性.

结论:

建立了一个强大的新生儿败血症30天死亡率预测模型.
该模型有效地捕捉了氨基酸和脂肪酸代谢中的代谢干扰.
该工具有助于评估新生儿败血症患者的死亡风险.

关键词:

乙卡尼提因是一种氨基酸是氨基酸的组成部分.死亡率死亡率死亡率新生儿败血症新生儿败血症预测预后预测预测

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