国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (11): 1859-1864.DOI: 10.3760/cma.j.cn441417-20241119-11018

• 论著 • 上一篇    下一篇

儿童肺炎支原体肺炎重症化的影响因素分析及列线图模型构建

李晓泽1 王端2 王策3   

  1. 1西安市儿童医院呼吸科,西安 710000;2西安市儿童医院儿童保健科,西安710000;3西安市儿童医院急诊科,西安 710000

  • 收稿日期:2024-11-19 出版日期:2025-06-01 发布日期:2025-06-14
  • 通讯作者: 王策,Email:wangce0036@163.com
  • 基金资助:

    陕西省自然科学基础研究计划(2022JQ-979)

Analysis of influencing factors of severe Mycoplasma pneumoniae pneumonia in children and construction of a nomogram model

Li Xiaoze1, Wang Duan2, Wang Ce3   

  1. 1 Department of Pneumology, Xi'an Children's Hospital, Xi'an 710000, China; 2 Department of Children's Health, Xi'an Children's Hospital, Xi'an 710000, China; 3 Department of Emergency, Xi'an Children's Hospital, Xi'an 710000, China

  • Received:2024-11-19 Online:2025-06-01 Published:2025-06-14
  • Contact: Wang Ce, Email: wangce0036@163.com
  • Supported by:

    Basic Research Plan of Natural Science in Shaanxi Province (2022JQ-979)

摘要:

目的 分析儿童肺炎支原体肺炎(MPP)重症化的影响因素,并据此构建列线图模型。方法 回顾性分析2022年2月至2024年5月西安市儿童医院收治的246例儿童MPP患儿临床资料,根据患儿病情进展情况将患儿分为重症组(54例)和非重症组(192例)。重症组男34例,女20例,年龄(7.56±2.32)岁,病程(8.11±1.42)d;非重症组男110例,女82例,年龄(8.11±2.74)岁,病程(7.85±1.35)d。比较两组一般资料,并应用多因素logistic回归分析法分析儿童MPP重症化的影响因素。另通过R 3.4.3软件绘制儿童MPP重症化的列线图模型,模型的内部验证主要依靠Bootstrap法进行,而模型的校准度、预测效能则通过校准曲线、受试者操作特征曲线(ROC)进行评估。采用χ2检验、t检验进行统计分析。结果 重症组的C反应蛋白(CRP)、白细胞介素-2(IL-2)、降钙素原(PCT)、乳酸脱氢酶(LDH)、D-二聚体(D-D)、红细胞沉降率(ESR)水平均高于非重症组[(10.81±3.22)mg/L比(7.73±2.54)mg/L、(3.98±0.83)ng/L比(3.55±0.72)ng/L、(0.58±0.11)µg/L比(0.26±0.06)µg/L、(365.65±115.52)U/L比(252.36±75.36)U/L、(3.25±1.02)mg/L比(2.62±0.87)mg/L、(46.32±13.65)mm/h比(33.25±11.01)mm/h],差异均有统计学意义(t=7.399、3.746、28.150、8.582、4.521、7.293,均P<0.001)。经多因素logistic回归分析,CRP、IL-2、PCT、LDH、D-D、ESR水平升高均是儿童MPP重症化的危险因素(均P<0.05);根据以上影响因素构建的列线图预测模型经Bootstrap法验证的一致性指数(C-index)为0.934,校准曲线与理想曲线拟合度良好;ROC显示,列线图模型预测儿童MPP重症化的曲线下面积(AUC)、灵敏度、特异度分别为0.911、93.75%、85.94%。结论 CRP、IL-2、PCT、LDH、D-D、ESR水平升高均是儿童MPP重症化的危险因素,根据以上影响因素构建的列线图模型具有良好的预测效能,可以为临床防治提供借鉴,以改善患儿预后。

关键词: 儿童, 肺炎支原体肺炎, 重症化, 列线图

Abstract:

Objective To analyze the influencing factors of severe Mycoplasma pneumoniae pneumonia (MPP) in children and to construct a nomogram model based on these factors. Method A retrospective analysis was conducted on the clinical data of 246 children with MPP admitted to Xi'an Children's Hospital from February 2022 to May 2024. Based on the progression of the disease, the children were divided into a severe group (54 cases) and a non-severe group (192 cases). The severe group included 34 males and 20 females, with an average age of (7.56±2.32) years and a disease duration of (8.11±1.42) days; the non-severe group included 110 males and 82 females, with an average age of (8.11±2.74) years and a disease duration of (7.85±1.35) days. General data were compared between the two groups, and multivariate logistic regression analysis was used to identify the influencing factors for the severe progression of MPP. Additionally, the R 3.4.3 software was used to create a nomogram model for predicting severe MPP. The internal validation of the model was primarily conducted using the Bootstrap method, while the calibration and predictive performance were assessed using calibration curves and the receiver operating characteristic (ROC) curve. Statistical analysis was performed using χ² tests and t tests. Results The levels of C-reactive protein (CRP), interleukin-2 (IL-2), procalcitonin (PCT), lactate dehydrogenase (LDH), D-dimer (D-D), and erythrocyte sedimentation rate (ESR) in the severe group were higher than those in the non-severe group [ (10.81±3.22) mg/L vs. (7.73±2.54) mg/L, (3.98±0.83) ng/L vs. (3.55±0.72) ng/L, (0.58±0.11) µg/L vs. (0.26±0.06) µg/L, (365.65±115.52) U/L vs. (252.36±75.36) U/L, (3.25±1.02) mg/L vs. (2.62±0.87) mg/L, (46.32±13.65) mm/h vs. (33.25±11.01) mm/h], with statistically significant differences (t=7.399, 3.746, 28.150, 8.582, 4.521, 7.293, all P<0.001). Multivariate logistic regression analysis indicated that elevated levels of CRP, IL-2, PCT, LDH, D-D, and ESR were all risk factors for severe MPP in children (all P<0.05). The consistency index (C-index) of the nomogram prediction model constructed based on these factors, validated by the Bootstrap method, was 0.934, and the calibration curve showed good fit with the ideal curve. The ROC analysis indicated that the area under the curve (AUC), sensitivity, and specificity of the nomogram model for predicting severe MPP were 0.911, 93.75%, and 85.94%, respectively. Conclusion The elevated levels of CRP, IL-2, PCT, LDH, D-D and ESR are all risk factors of severity of MPP in children, and the nomogram model constructed based on the above influence factors has good predictive efficacy, and it can provide reference for clinical prevention and treatment to improve the prognosis of children.

Key words: Children,  , Mycoplasmal pneumoniae pneumonia,  , Severe,  , Nomogram