华南预防医学 ›› 2026, Vol. 52 ›› Issue (6): 645-650.doi: 10.12183/j.scjpm.2026.0645

• 论著 • 上一篇    下一篇

儿童肺炎支原体肺炎后肺功能异常的风险因素与风险分层模型构建

胡慧敏1, 胡言东1, 倪协琴1, 罗兰1, 杨驰1, 黄懿洁2   

  1. 1.邛崃市妇幼保健院,四川 邛崃 611530;
    2.成都市妇女儿童中心医院
  • 收稿日期:2025-11-02 发布日期:2026-07-03
  • 通讯作者: 黄懿洁,E-mail:hyj15889@163.com
  • 作者简介:胡慧敏(1986—),女,大学本科,主治医师,主要从事儿科方向工作
  • 基金资助:
    四川省妇幼医学科技创新课题(21FX021)

Risk factors and a stratification model for impaired pulmonary function following Mycoplasma pneumoniae pneumonia in children

Hu Huimin1, Hu Yandong1, Ni Xieqin1, Luo Lan1, Yang Chi1, Huang Yijie2   

  1. 1. Maternity and Child Healthcare Hospital of Qionglai City, Qionglai, Sichuan 611530, China;
    2. Chengdu Women's and Children's Central Hospital
  • Received:2025-11-02 Published:2026-07-03

摘要: 目的 探讨学龄前期及学龄期儿童肺炎支原体肺炎(MPP)后肺功能异常的可干预环境因素与社会决定因素,构建风险分层模型与筛查策略。方法 连续纳入2024年2月至2025年2月在1家三甲儿童专科医院、1家二甲综合医院儿科及2家社区卫生服务中心就诊的1 594例MPP患儿。收集临床资料、可干预环境因素及社会决定因素。主要结局为临床治愈后6个月肺功能异常。构建3个嵌套logistic回归模型评估增量预测价值,绘制列线图进行风险分层,通过决策曲线和成本-效果分析评估模型公共卫生价值。结果 肺功能异常发生率为28.7%。多因素分析结果显示,影像学受累≥2叶、热程>7 d、未接受全身激素治疗、显著二手烟暴露、随访依从性差、父母低教育水平、新农合医保等为独立影响因素。模型3(全模型)AUC为0.846,优于模型1(0.819)和模型2(0.835)。高风险组肺功能异常发生率为47.6%,低风险组为9.6%。模型导向筛查相比普筛每发现1例异常可节省260元。肺功能异常组生活质量评分降低、恢复时间延长、反复呼吸道感染发生率升高(均P<0.001)。结论 可干预环境因素与社会决定因素显著提升MPP儿童后肺功能异常的预测效能。构建的风险分层模型具有良好的区分度与校准度,结合成本-效果分析可为区域性儿童呼吸健康管理策略提供循证依据。

关键词: 肺炎支原体肺炎, 儿童, 肺功能异常, 危险因素, 风险分层, 预测模型

Abstract: Objective To investigate the modifiable environmental factors and social determinants of post-Mycoplasma pneumoniae pneumonia (MPP) pulmonary dysfunction in preschool and school-aged children, and to develop a risk stratification model and corresponding screening strategy. Methods This prospective cohort study consecutively enrolled 1 594 pediatric patients diagnosed with MPP between February 2024 and February 2025. Participants were recruited from a tertiary pediatric specialty hospital, the pediatric department of a secondary general hospital, and two community health service centers. Data on clinical characteristics, modifiable environmental factors, and social determinants were systematically collected. The primary outcome was the presence of pulmonary function abnormalities at six months post-clinical resolution. Three nested logistic regression models were constructed to evaluate the incremental predictive value of the collected factors. A nomogram was subsequently developed for risk stratification. The public health utility of the model was assessed using decision curve analysis (DCA) and cost-effectiveness analysis. Results The overall incidence of post-MPP pulmonary function abnormality was 28.7%. Multivariate logistic regression analysis identified several independent risk factors: radiological involvement of ≥2 lobes, a febrile duration exceeding 7 days, absence of systemic corticosteroid therapy, significant secondhand smoke exposure, poor follow-up adherence, low parental educational attainment, and coverage by the New Rural Cooperative Medical Scheme (NRCMS). The full model (Model 3) demonstrated superior predictive performance, with an area under the curve (AUC) of 0.846, compared to Model 1 (clinical factors only; AUC=0.819) and Model 2 (clinical and environmental factors; AUC=0.835). The incidence of pulmonary dysfunction was 47.6% in the high-risk stratum versus 9.6% in the low-risk stratum. Compared with universal screening, the model-guided screening strategy yielded a cost saving of 260 RMB per case of abnormality detected. Furthermore, the cohort with pulmonary function abnormalities exhibited significantly lower quality of life scores, prolonged recovery periods, and a higher incidence of recurrent respiratory tract infections (all P<0.001). Conclusion The inclusion of modifiable environmental factors and social determinants significantly enhances the predictive efficacy for pulmonary dysfunction following MPP in children. The developed risk stratification model demonstrates robust discrimination and calibration. In conjunction with the cost-effectiveness analysis, these findings provide a solid evidence-based foundation for the formulation of regional pediatric respiratory health management strategies.

Key words: Mycoplasma pneumoniae pneumonia, Child, Pulmonary function abnormality, Risk factors, Risk stratification, Prediction model

中图分类号: 

  • R181.3