在儿童严重的 Mycoplasma pneumoniae 肺炎中,免疫相关参数的预测值
Chaoyue Jiang1, Siwen Bao1, Weifeng Shen1
1Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China.
Translational pediatrics
|October 14, 2024
概括
在儿童中早期诊断严重的Mycoplasma pneumoniae肺炎 (MPP) 可能使用与免疫相关的参数. 结合年龄,B细胞比率和单细胞计数的预测模型显示,它有望用于识别严重的MPP病例.
科学领域:
- 儿童传染病 儿童传染病
- 免疫学 免疫学 免疫学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 菌性肺炎肺炎 (MPP) 的严重程度与宿主的免疫-炎症反应相关.
- 在儿童中早期诊断严重的MPP (sMPP) 对于及时干预至关重要.
- 与免疫相关的参数可能为sMPP提供预测价值.
研究的目的:
- 探索免疫相关参数的预测价值,以诊断入院儿童的严重MPP.
- 确定与sMPP发展相关的独立风险因素.
- 开发和评估sMPP的预测模型.
主要方法:
- 对2021-2023年间被诊断为MPP的儿科患者的数据库分析.
- 检查完整血细胞计数 (CBC),淋巴细胞子集和MPP严重程度之间的关联.
- 二元物流回归和接收器运行特征 (ROC) 曲线分析以确定风险因素并评估区分能力.
主要成果:
- 在sMPP组中观察到升高的白血细胞,中性细胞,单细胞,血小板数和NLR.
- 在sMPP组中发现了较低的CD3+T细胞和CD3+CD8+T细胞比率,以及较高的CD3-CD19+B细胞比率.
- 年龄,CD3-CD19+%和单细胞计数被确定为sMPP的独立风险因素,整体预测模型AUC为0.715.
结论:
- 结合年龄,CD3-CD19+%和单细胞计数的预测模型显示了儿童早期sMPP诊断的潜力.
- 该模型在较小的儿童 (≤5岁,AUC 0.823) 与较大的儿童 (>5岁,AUC 0.693) 相比,显示出更高的预测准确性.
- 这个模型可以帮助早期识别严重的MPP病例,需要立即医疗照顾.
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