Abstract：Abstract: In order to identify the high-risk children with early community-acquired pneumonia (CAP) complicated with myocardial injury, the nomogram of CAP complicated with myocardial injury was constructed and evaluated, the nomogram of early CAP complicated with myocardial injury was constructed and evaluated. The medical records of 385 children with CAP were retrospectively analyzed and divided into training set and validation set. The predictors were screened by LASSO regression and Logistic regression, and the nomogram for predicting myocardial injury was developed. The nomogram was evaluated by ROC curve, calibration curve, DCA curve. Age, early chest radiograph characteristics, type of cough, extrapulmonary complication, the highest temperature, lymphocyte percentage, SaO2, CRP and mycoplasma infection were the predictors of early CAP with myocardial injury in children. The AUC value of nomogram in two set were 0.827 and 0.815. The calibration curve was in good agreement with the actual curve. And the DCA curve showed that the use of nomogram can benefit in a wide diagnostic thresholds range. The nomogram with good discrimination and accuracy can identify the risk of myocardial injury in children with early cap and help clinicians to give early warning and timely intervention.
Key words: children; community-acquired pneumonia; myocardial injury; prediction; nomogram model
（Acta Laser Biology Sinica, 2022, 31(4): 379-384）
引用本文:
张 元，罗 斐，刁娟娟. 儿童早期社区获得性肺炎合并心肌损伤风险列线图模型的构建[J]. 激光生物学报, 2022, 31(4): 379-384.
ZHANG Yuan, LUO Fei, DIAO Juanjuan. Development of a Nomogram to Predict Early Community-acquired Pneumonia with Myocardial Injury in Children. journal1, 2022, 31(4): 379-384.
