Risk factors for embolism in children with refractory Mycoplasma pneumoniae pneumonia and construction of a nomogram model for prediction of embolism
10.7499/j.issn.1008-8830.2311146
- VernacularTitle:难治性肺炎支原体肺炎患儿合并栓塞的危险因素分析及列线图预测模型的构建
- Author:
Li-Na XIE
1
;
Te FENG
;
Yan-Jun GUO
;
Yu-Hui ZHANG
;
Yuan-Zhe LI
;
Wan-Cun ZHANG
Author Information
1. 郑州大学附属儿童医院儿科呼吸内科,河南郑州 450018
- Keywords:
Refractory Mycoplasma pneumoniae pneumonia;
Nomogram;
Predictive model;
Risk factor;
Child
- From:
Chinese Journal of Contemporary Pediatrics
2024;26(5):486-492
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the risk factors for embolism in children with refractory Mycoplasma pneumoniae pneumonia(RMPP)and to construct a nomogram model for prediction of embolism.Methods This retrospective study included 175 children diagnosed with RMPP at Children's Hospital Affiliated to Zhengzhou University from January 2019 to October 2023.They were divided into two groups based on the presence of embolism:the embolism group(n=62)and the non-embolism group(n=113).Multivariate logistic regression analysis was used to screen for risk factors of embolism in children with RMPP,and the R software was applied to construct the nomogram model for prediction of embolism.Results Multivariate logistic regression analysis indicated that higher levels of D-dimer,interleukin-6(IL-6)and neutrophil to lymphocyte ratio(NLR),lung necrosis,and pleural effusion were risk factors for embolism in children with RMPP(P＜0.05).The area under the curve of the nomogram model for prediction of embolism constructed based on the aforementioned risk factors was 0.912(95％CI:0.871-0.952,P＜0.05).The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit with the actual situation(P＜0.05).Calibration and decision curve analysis indicated that the model had high predictive efficacy and clinical applicability.Conclusions Higher levels of D-dimer,IL-6 and NLR,lung necrosis,and pleural effusion are risk factors for embolism in children with RMPP.The nomogram model based on these risk factors has high clinical value for predicting embolism in children with RMPP.
