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目的用聚类分析法分析儿童喘息性疾病的临床表现,为其临床诊疗提供更有效的依据。方法 2014年10月—2015年12月收治的喘息性疾病患儿680例,其中,毛细支气管炎244例、喘息性支气管炎304例、支气管哮喘132例。收集患者的病历资料,用聚类分析法进行分析,P<0.05为差异有统计学意义。结果毛细支气管炎患儿年龄、C反应蛋白、湿啰音、白细胞区分度较好(均P<0.05);第1类4.5%,第2类82.4%,第3类13.1%。喘息性支气管炎患儿年龄、C反应蛋白、白细胞聚类区分度较好(均P<0.05);第1类10.82%,第2类49.05%,第3类40.13%。支气管哮喘患儿年龄、C反应蛋白、白细胞数聚类区分度比较好(均P<0.05);第1类13.64%,第2类26.52%,第3类59.85%。结论用聚类分析法分析儿童喘息性疾病的临床表现,可为该病得到有效的诊治和预防提供更为明确的参考依据。
Objective To analyze the clinical manifestations of wheezing diseases in children by cluster analysis to provide a more effective basis for its clinical diagnosis and treatment. Methods From October 2014 to December 2015, 680 children with wheezing diseases were admitted, including 244 cases of bronchiolitis, 304 cases of asthmatic bronchitis and 132 cases of bronchial asthma. Patient’s medical records were collected and analyzed by cluster analysis. P <0.05 was considered statistically significant. Results The age, C-reactive protein, dampness and white blood cell differentiation of children with bronchiolitis were better (all P <0.05). The first category was 4.5%, the second category was 82.4% and the third category was 13.1%. The age, C-reactive protein and leukocyte clustering of children with asthmatic bronchitis were well differentiated (all P <0.05). The first category was 10.82%, the second category was 49.05% and the third category was 40.13%. The age, C-reactive protein, and white blood cell count of children with bronchial asthma were well differentiated (all P <0.05). The first category was 13.64%, the second category was 26.52% and the third category was 59.85%. Conclusion The analysis of the clinical manifestations of wheezing diseases in children by cluster analysis can provide more definite reference for the effective diagnosis and treatment of the disease.