住院儿童中COVID-19严重程度和死亡率的预测因素
Shima Mahmoudi1,2, Babak Pourakbari3, Erfaneh Jafari2
1Biotechnology Centre, Silesian University of Technology, Gliwice, 44-100, Poland.
BMC infectious diseases
|July 31, 2024
概括
关键的实验室标记物,如C反应蛋白 (CRP),乳酸脱酶 (LDH) 和白蛋白,可以预测严重的COVID-19和儿童死亡率. 这些发现有助于儿童患者的临床决策.
科学领域:
- 儿童传染病 儿童传染病
- 临床生物化学 临床生物化学
- 流行病学 流行病学
背景情况:
- 儿童COVID-19的有效管理需要了解疾病进展因素.
- 确定住院儿童严重性和死亡率的预测因素至关重要.
研究的目的:
- 评估临床和实验室参数,以预测儿童的COVID-19严重程度和死亡率.
- 评估这些参数的区分能力.
主要方法:
- 一项多中心回顾性队列研究包括468名儿科COVID-19患者.
- 使用人口统计,临床和实验室数据开发了一个预测模型.
- 模型性能使用灵敏度,特异性,PPV和ROC分析进行评估.
主要成果:
- 预测模型显示出强大的歧视力 (严重性AUC为0.818,死亡率为0.873).
- 严重的COVID-19的关键预测因素包括低专蛋白,高C反应蛋白 (CRP),乳酸脱酶 (LDH) 和并发症.
- ROC分析证实了CRP (AUC 0.789),LDH (AUC 0.752) 和白蛋白 (AUC 0.758) 的预测值.
结论:
- 实验室值,包括CRP,LDH和白蛋白,是儿童COVID-19严重程度的有价值预测指标.
- 患者群体之间这些标记物的统计学上显著差异表明它们作为预测标记物的潜力.
- 使用这些标记物的预测分析可以支持儿童COVID-19管理的知情临床决策.
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