机构地区:[1]河南省人民医院儿科,河南郑州450003 [2]河南省人民医院骨科,河南郑州450003
出 处:《实用医院临床杂志》2024年第3期129-133,共5页Practical Journal of Clinical Medicine
基 金:河南省科技厅科研基金资助项目(编号:212102310449)。
摘 要:目的探讨学龄期儿童幽门螺旋杆菌感染的影响因素,构建并评价预测模型。方法回顾性分析2020年3月~2022年10月河南省人民医院收治的1882例学龄期儿童的临床资料,根据是否发生幽门螺旋杆菌感染分为感染组(n=378)和未感染组(n=1504)。比较两组临床资料,多因素Logistic回归分析学龄期儿童幽门螺旋杆菌感染的危险因素,并构建预测模型,绘制受试者工作特征(ROC)曲线分析预测模型对学龄期儿童幽门螺旋杆菌感染的预测价值。分析幽门螺旋杆菌感染对学龄期儿童生长发育情况及营养指标的影响。结果多因素Logistic回归分析结果显示,农村、人均居住面积<30 m^(2)、非独立餐具、习惯啃手指、无饭前便后洗手、刷牙口杯公用、未独立睡眠、监护人是小学文凭、照顾者有胃病史是学龄期儿童幽门螺旋杆菌感染的独立危险因素(P<0.05)。ROC曲线分析显示,当logit(P)>12.00时,曲线下面积(AUC)值为0.868,诊断敏感度为81.33%,特异度为80.52%。感染组患儿身高、体质量指数、全血血红蛋白、白蛋白水平均低于未感染组(P<0.05)。结论幽门螺旋杆菌感染可影响学龄期儿童营养状况及生长发育,学龄期儿童幽门螺旋杆菌感染的独立危险因素较多,根据其构建回归模型对学龄期儿童幽门螺旋杆菌感染的预测价值较高,临床可据此给予针对性的防治措施及治疗。Objective To explore the influencing factors of Helicobacter pylori infection in school-age children,and build and evaluate the prediction model.Methods Clinical data of 1,882 school-age children admitted to our hospital from March 2020 to October 2022 were retrospectively analyzed.They were divided into an infected group(n=378)and a non-infected group(n=1,504)according to the occurrence of Helicobacter pylori infection.The clinical data were compared between the two groups.Multifactor Logistic regression analysis was used to analyze the risk factors of Helicobacter pylori infection in the school-age children.The prediction model was builded,and the working characteristics(ROC)curve of subjects was drawn to analyze the predictive value of the prediction model for Helicobacter pylori infection in school-age children.The effects of Helicobacter pylori infection on the growth and development of school-age children and their nutritional indicators were analyzed.Results Multivariate Logistic regression analysis showed that rural areas,per capita living area<30 m^(2),non-independent tableware,habit of chewing fingers,no washing hands before and after meals,brushing teeth and cups for public use,non-independent sleep,guardians with primary school diploma,and caregivers with a history of stomach disease were independent risk factors for Helicobacter pylori infection in these school-age children(P<0.05).ROC curve analysis showed that when logic(P)>12.00,area under curve(AUC)was 0.868,the diagnostic sensitivity was 81.33%,and the specificity was 80.52%.The height,body mass index,levels of whole blood hemoglobin and albumin of children in the infected group were lower than those in the non-infected group(P<0.05).Conclusions Helicobacter pylori infection could affect the nutritional status,growth and development of school-age children.There are many independent risk factors for Helicobacter pylori infection in the school-age children.The predictive value of the regression model constructed for Helicobacter pylori infection i
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