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儿童严重 pertussis 的临床和免疫学预测因素:一个基于 nomogram 的预测模型

Shiying Zhang¹, Na Shan¹, Junfang Qin²

¹Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, China.

BMC infectious diseases

|July 30, 2025

概括

儿童严重的百日咳与特定的临床和免疫标志物有关. 一种新的诺莫格拉姆模型准确地预测了严重病例,有助于早期干预,并改善了这种持久性传染病的结果.

科学领域:

儿童传染病儿童传染病
免疫学免疫学免疫学
临床预测建模临床预测建模

背景情况:

尽管有疫苗接种努力,百日咳仍然是一个公共卫生挑战,特别是对于婴儿来说.
了解严重百日咳的风险因素,特别是免疫因素,对于有效管理至关重要.

研究的目的:

确定与儿童严重百日咳相关的临床和免疫风险因素.
开发和验证一个预测模型,用于早期识别严重百日咳病例.

主要方法:

对249名患有 pertussis (常见或严重) 的儿童进行了回顾性病例分析.
组间临床和免疫学参数的比较.
应用拉索和多变量逻辑回归来识别风险因素.
构建和验证一个名ogram预测模型.

主要成果:

严重的百日咳病例呈现出更高的肺炎率,长时间住院和延迟接种疫苗.
在严重病例中观察到幽默和细胞免疫标记的显著差异.
独立的危险因素包括早产,疫苗接种不完整,白细胞数量升高和淋巴细胞形状改变.
诺莫格拉姆模型显示出高的预测准确性 (C指数=0.899,AUC=0.899).

结论:

临床和免疫学标记是儿童严重百日咳的关键指标.
开发的名图表是早期风险分层和改善咳管理中的临床决策的宝贵工具.

关键词:

免疫学标志物免疫学标志物这个名字叫做Nomogram.预测模型是一个预测模型.风险因素风险因素严重的百日咳严重的百日咳

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