Suppr超能文献

重症肺炎支原体肺炎患儿塑料支气管炎危险因素的预测

Prediction of risk factors of plastic bronchitis in children with severe Mycoplasma pneumoniae pneumonia.

作者信息

Mu Shiyin, Zhai Jia, Guo Yongsheng, Huang Bing, Zou Yingxue

机构信息

Department of Respiratory of Ma-Chang Campus, Tianjin Children's Hospital/Tianjin University Children's Hospital, Tianjin, 300074, China.

出版信息

Biomed Eng Online. 2025 Jun 21;24(1):75. doi: 10.1186/s12938-025-01410-8.

Abstract

BACKGROUND

Plastic bronchitis (PB) is a rare but potentially life-threatening condition that requires particular attention in pediatric patients, specifically those presenting with severe Mycoplasma pneumoniae pneumonia (SMPP). This study aimed to identify risk factors associated with PB in children with SMPP and develop a comprehensive risk factor scoring system.

METHODS

A retrospective analysis was conducted on SMPP patients who underwent bronchoscopy between January 2018 and October 2023. Based on bronchoscopic and pathological examination results, patients were categorized into PB (n = 142) and non-PB (n = 274) groups. Clinical manifestations, laboratory data, and imaging findings were analyzed. Risk factors for PB in SMPP children were identified through univariate and multivariate logistic regression analyses. A nomogram model incorporating independent risk factors was developed, and a PB risk factor scoring system was established. Model validation was performed through a prospective validation study.

RESULTS

Among 416 SMPP children (197 males, 219 females), mean age at disease onset was 6.9 ± 2.9 years and 6.6 ± 2.8 years in the PB and Non-PB groups, respectively. Multivariate logistic regression analysis identified eight independent predictors of PB in SMPP children: dyspnea, decreased breath sounds, neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), mean platelet volume to platelet ratio (MPV/PLT), pleural effusion, ≥ 2/3 lobe consolidation, and atelectasis. The nomogram prediction model demonstrated excellent discriminative ability (AUC = 0.92, 95% CI 0.892-0.948, P < 0.005) and strong calibration between predicted and observed outcomes. In the prospective validation cohort (n = 565), the scoring system effectively stratified patients into risk categories: high-risk (71.62% PB incidence), intermediate-risk (59.79%), and low-risk (5.33%), with statistically significant inter-group differences (P < 0.001). The PB group exhibited significantly longer hospitalization durations, extended glucocorticoid treatment periods, higher proportions of glucocorticoid therapy utilization, and a greater frequency of bronchoscopy interventions (≥ 2 sessions) compared to the Non-PB group (all P < 0.05).

CONCLUSIONS

In this study, we developed and validated a nomogram to PB in children with SMPP. This model serves as a clinically practical tool for early PB identification, enabling physicians to initiate timely interventions and optimize disease management strategies.

摘要

背景

塑料支气管炎(PB)是一种罕见但可能危及生命的疾病,在儿科患者中需要特别关注,尤其是那些患有重症肺炎支原体肺炎(SMPP)的患者。本研究旨在确定SMPP患儿中与PB相关的危险因素,并建立一个综合危险因素评分系统。

方法

对2018年1月至2023年10月期间接受支气管镜检查的SMPP患者进行回顾性分析。根据支气管镜检查和病理检查结果,将患者分为PB组(n = 142)和非PB组(n = 274)。分析临床表现、实验室数据和影像学表现。通过单因素和多因素逻辑回归分析确定SMPP患儿发生PB的危险因素。建立包含独立危险因素的列线图模型,并建立PB危险因素评分系统。通过前瞻性验证研究进行模型验证。

结果

在416例SMPP患儿(197例男性,219例女性)中,PB组和非PB组疾病发病时的平均年龄分别为6.9±2.9岁和6.6±2.8岁。多因素逻辑回归分析确定了SMPP患儿发生PB的8个独立预测因素:呼吸困难、呼吸音减弱、中性粒细胞与淋巴细胞比值(NLR)、乳酸脱氢酶(LDH)、平均血小板体积与血小板比值(MPV/PLT)、胸腔积液、≥2/3肺叶实变和肺不张。列线图预测模型显示出良好的判别能力(AUC = 0.92,95%CI 0.892-0.948,P < 0.005),预测结果与观察结果之间具有良好的校准度。在前瞻性验证队列(n = 565)中,评分系统有效地将患者分为风险类别:高危(PB发生率71.62%)、中危(59.79%)和低危(5.33%),组间差异有统计学意义(P < 0.001)。与非PB组相比,PB组的住院时间明显更长,糖皮质激素治疗时间延长,糖皮质激素治疗使用率更高,支气管镜干预频率更高(≥2次)(所有P < 0.05)。

结论

在本研究中,我们开发并验证了SMPP患儿PB的列线图。该模型是临床上早期识别PB的实用工具,使医生能够及时启动干预措施并优化疾病管理策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验