儿童重症肺炎继发心力衰竭的危险因素及预测模型构建

Risk factors for secondary heart failure in children with severe pneumonia and establishment of prediction model

  • 摘要:
    目的 探究重症肺炎患儿继发心力衰竭的影响因素,构建列线图预测模型。
    方法 选取2018年3月-2024年3月南京医科大学附属儿童医院767例重症肺炎患儿进行研究,依据(7∶3)的比例将患儿分为建模组537例及验证组230例,另选取2024年4月-2024年12月收治的127例重症肺炎患儿作为外部验证组,依据是否继发心力衰竭将建模组患儿分为心力衰竭组56例及非心力衰竭组481例。收集患儿资料,采用多因素logistic回归分析重症肺炎患儿继发心力衰竭的影响因素,使用R软件构建重症肺炎继发心力衰竭的预测模型,受试者工作特征(ROC)曲线及霍斯默-莱梅肖(Hosmer-Lemeshow test,H-L)拟合检验分析重症肺炎患儿继发心力衰竭预测模型的效能。
    结果 危重症病例评分(OR=8.847, 95%CI:3.806~20.566)、持续肺动脉高压(OR=5.557, 95%CI:2.450~12.604)、呼吸衰竭(OR=2.646, 95%CI:1.066~6.567)、凝血功能障碍(OR=13.444, 95%CI:5.790~31.219)及降钙素原(PCT)水平(OR=8.103, 95%CI:3.466~18.943)是重症肺炎患儿继发心力衰竭的影响因素(P<0.05),验证组及外部验证组的ROC曲线下面积(0.962,0.973)及H-L检验(P=0.779,0.817)显示,构建的重症肺炎患儿继发心力衰竭的预测模型具有较好的一致性及区分度。
    结论 危重症病例评分、持续肺动脉高压、呼吸衰竭、凝血功能障碍及PCT水平是重症肺炎患儿继发心力衰竭的影响因素,以此影响因素构建的预测模型具有较好的效能。

     

    Abstract:
    OBJECTIVE To explore the influencing factors for secondary heart failure in the children with severe pneumonia and establish the nomogram prediction model.
    METHODS A total of 767 children with severe pneumonia who were treated in Children′s Hospital of Nanjing Medical University from Mar. 2018 to Mar. 2024 were enrolled in the study and were divided into the modeling group with 537 cases and the validation group with 230 cases in a 7∶3 ratio. Meanwhile, 127 children with severe pneumonia who were treated from Apr. 2024 to Dec. 2024 were chosen as the external validation group. The children of the modeling group were divided into the heart failure group with 56 cases and the non-heart failure group with 481 cases according to the status of secondary heart failure. The clinical data were collected from the children. Multivariate logistic regression analysis was performed for the influencing factors for the secondary heart failure in the children with severe pneumonia, the prediction model for secondary heart failure in the severe pneumonia children was established with the use of R software. The efficacy of the model in prediction of secondary heart failure in the children with severe pneumonia was analyzed by means of receiver operating characteristic (ROC) curves and Hosmer-Lemeshow (H-L) fitting test.
    RESULTS The critically ill case score(OR=8.847, 95%CI: 3.806 to 20.566), persistent pulmonary arterial hypertension (OR=5.557, 95% CI: 2.450 to 12.604), respiratory failure (OR=2.646, 95% CI: 1.066 to 6.567), coagulation dysfunction (OR=13.444, 95% CI: 5.790 to 31.219) and procalcitonin (PCT) (OR=8.103, 95% CI: 3.466 to 18.943) were the influencing factors for the secondary heart failure in the children with severe pneumonia(P < 0.05). The area under the ROC curve of the validation group was 0.962, the external validation group 0.973; the H-L test showed that the prediction model had high consistency and discrimination for the secondary heart failure in the children with severe pneumonia.
    CONCLUSIONS The critically ill case score, persistent pulmonary arterial hypertension, respiratory failure, coagulation dysfunction and PCT level are the influencing factors for the secondary heart failure in the children with severe pneumonia. The prediction model that is established based on the influencing factors shows high efficiency.

     

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