Objective To construct and verify the risk early warning model of febrile convulsion caused by respiratory tract infec-tion in children.Methods A total of 156 children with respiratory tract infection who were treated in the hospital from April 2020 to August 2022 were retrospectively selected as the research objects.They were divided into model samples(109 cases)and validation samples(47 cases)at a ratio of 7:3.Both samples were divided into febrile convulsion group and non-febrile convulsion group accord-ing to whether febrile convulsion occurred.Multivariate Logistic regression was used to analyze the influencing factors of febrile convul-sion and to construct a risk warning model for febrile convulsion in children.The accuracy of the model was judged by ROC curve,and the fitting degree of the model was evaluated by Hosmer-Lemeshow test.Results There were 43 cases(39.45%)in the febrile con-vulsion group and 66 cases(60.55%)in the non-febrile convulsion group.There were 16 cases(34.04%)in the febrile convulsion group and 31 cases(65.96%)in the non-febrile convulsion group.The results of multivariate analysis showed.Age(OR=0.044,95%CI:0.004-0.447,P=0.008),respiratory rhythm disorder(OR=10.678,95%CI:1.506-75.709,P=0.018),body temperature(OR=11.963,95%CI=1.725-82.951,P=0.012),respiratory rate(BR)(OR=1.571,95%CI:1.138-2.168,P=0.006)and heart rate(HR)(OR=1.252,95%CI:1.076-1.457,P=0.004)were independent influencing factors of febrile convulsion in the two groups(all P<0.05).The area under the ROC curve was 0.981,95%CI:0.960-1.000,the sensitivity was 0.930,the specificity was 0.970,and the Youden index was 0.900.The Hosemer-Lemeshow test showed x2=4.136,P=0.845.Conclusion The early warn-ing model of febrile convulsion in children with respiratory tract infection based on the nomogram model has good early warning perform-ance.Medical staff can judge the risk of febrile convulsion in children with respiratory tract infection by age,combined respiratory rhythm disorder,body temperature,BR and HR,and take targeted intervention programs.
关键词
儿童/呼吸道感染/高热惊厥/预警模型
Key words
Children/Respiratory tract infection/High fever convulsion/Early warning model