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儿童重症肺炎中免疫相关参数的预测价值。

Predictive value of immune-related parameters in severe pneumonia in children.

作者信息

Jiang Chaoyue, Bao Siwen, Shen Weifeng, Wang Chun

机构信息

Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China.

出版信息

Transl Pediatr. 2024 Sep 30;13(9):1521-1528. doi: 10.21037/tp-24-172. Epub 2024 Sep 13.

Abstract

BACKGROUND

The severity of pneumonia (MPP) is strongly correlated with the extent of the host's immune-inflammatory response. In order to diagnose the severity of MPP early, this study sought to explore the predictive value of immune-related parameters in severe MPP (sMPP) in admitted children.

METHODS

We performed a database analysis consisting of patients diagnosed at our medical centers with MPP between 2021 and 2023. We included pediatric patients and examined the association between complete blood cell count (CBC), lymphocyte subsets and the severity of MPP. Binary logistic regression was performed to identify the independent risk factors of sMPP. Receiver operating characteristic (ROC) curves were used to estimate discriminant ability.

RESULTS

A total of 245 MPP patients were included in the study, with 131 males and 114 females, median aged 6.0 [interquartile range (IQR), 4.0-8.0] years, predominantly located in 2023, and accounted for 64.5%. Among them, 79 pediatric patients were diagnosed as sMPP. The parameters of CBC including white blood cell (WBC) counts, neutrophil counts, monocyte counts, platelet counts, and neutrophil-to-lymphocyte ratio (NLR), were higher in the sMPP group (all P<0.05). The parameters of lymphocyte subsets including CD3 T cell ratio (CD3%) and CD3CD8 T cell ratio (CD3CD8%), were lower in the sMPP group (all P<0.05). And CD3CD19 B cell ratio (CD3CD19%) was higher in the sMPP group. Logistic regression analysis showed that age, CD3CD19%, and monocyte counts were identified as independent risk factors for the development of sMPP (all P<0.001). The three factors were applied in constructing a prediction model that was tested with 0.715 of the area under the ROC curve (AUC). The AUC of the prediction model for children aged ≤5 years was 0.823 and for children aged >5 years was 0.693.

CONCLUSIONS

The predictive model formulated by age, CD3CD19%, and monocyte counts may play an important role in the early diagnosis of sMPP in admitted children, especially in children aged ≤5 years.

摘要

背景

肺炎支原体肺炎(MPP)的严重程度与宿主免疫炎症反应程度密切相关。为早期诊断MPP的严重程度,本研究旨在探讨免疫相关参数对住院儿童重症MPP(sMPP)的预测价值。

方法

我们对2021年至2023年在我们医疗中心诊断为MPP的患者进行了数据库分析。纳入儿科患者,检查全血细胞计数(CBC)、淋巴细胞亚群与MPP严重程度之间的关联。进行二元逻辑回归以确定sMPP的独立危险因素。采用受试者工作特征(ROC)曲线评估判别能力。

结果

本研究共纳入245例MPP患者,其中男性131例,女性114例,中位年龄6.0[四分位间距(IQR),4.0 - 8.0]岁,主要集中在2023年,占64.5%。其中79例儿科患者被诊断为sMPP。CBC参数包括白细胞(WBC)计数、中性粒细胞计数、单核细胞计数、血小板计数和中性粒细胞与淋巴细胞比值(NLR),在sMPP组中更高(均P<0.05)。淋巴细胞亚群参数包括CD3 T细胞比例(CD3%)和CD3CD8 T细胞比例(CD3CD8%),在sMPP组中更低(均P<0.05)。而CD3CD19 B细胞比例(CD3CD19%)在sMPP组中更高。逻辑回归分析显示,年龄、CD3CD19%和单核细胞计数被确定为sMPP发生的独立危险因素(均P<0.001)。这三个因素用于构建预测模型,该模型经ROC曲线下面积(AUC)为0.715检验。≤5岁儿童预测模型的AUC为0.823,>5岁儿童为0.693。

结论

由年龄、CD3CD19%和单核细胞计数制定的预测模型可能在住院儿童sMPP的早期诊断中发挥重要作用,尤其是在≤5岁的儿童中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4529/11467233/2ad61afa13dd/tp-13-09-1521-f1.jpg

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