Shi Xiao-Song, He Xiao-Hua, Chen Jie
Department of Pediatrics, Provincial Hospital Affiliated to Fuzhou University/Fujian Provincial Hospital, Fuzhou 350001, China.
Zhongguo Dang Dai Er Ke Za Zhi. 2025 Jan 15;27(1):62-67. doi: 10.7499/j.issn.1008-8830.2408073.
To investigate the risk factors for plastic bronchitis (PB) in children with macrolide-unresponsive pneumonia (MUMPP) and to establish a nomogram prediction model.
A retrospective analysis was conducted on 178 children with MUMPP who underwent bronchoscopy from January to December 2023. According to the presence or absence of PB, the children were divided into a PB group (49 children) and a non-PB group (129 children). The predictive factors for the development of PB in children with MUMPP were analyzed, and a nomogram prediction model was established. The model was assessed in terms of discriminatory ability, accuracy, and clinical effectiveness.
The multivariate logistic regression analysis showed that older age and higher levels of lactate dehydrogenase and fibrinogen were closely associated with the development of PB in children with MUMPP (<0.05). A nomogram model established based on these factors had an area under the receiver operating characteristic curve of 0.733 (95%: 0.651-0.816, <0.001) and showed a good discriminatory ability. The Hosmer-Lemeshow goodness-of-fit test indicated that the predictive model had a good degree of fit (>0.05), and the decision curve analysis showed that the model had a good clinical application value.
The risk nomogram model established based on age and lactate dehydrogenase and fibrinogen levels has good discriminatory ability, accuracy, and predictive efficacy for predicting the development of PB in children with MUMPP.
探讨大环内酯类无反应性肺炎(MUMPP)患儿发生塑料支气管炎(PB)的危险因素,并建立列线图预测模型。
对2023年1月至12月接受支气管镜检查的178例MUMPP患儿进行回顾性分析。根据是否存在PB,将患儿分为PB组(49例)和非PB组(129例)。分析MUMPP患儿发生PB的预测因素,并建立列线图预测模型。从区分能力、准确性和临床有效性方面对该模型进行评估。
多因素logistic回归分析显示,年龄较大、乳酸脱氢酶和纤维蛋白原水平较高与MUMPP患儿发生PB密切相关(<0.05)。基于这些因素建立的列线图模型的受试者操作特征曲线下面积为0.733(95%:0.651 - 0.816,<0.001),显示出良好的区分能力。Hosmer-Lemeshow拟合优度检验表明预测模型具有良好的拟合度(>0.05),决策曲线分析表明该模型具有良好的临床应用价值。
基于年龄、乳酸脱氢酶和纤维蛋白原水平建立的风险列线图模型对预测MUMPP患儿PB的发生具有良好的区分能力、准确性和预测效能。