摘要
目的分析2型糖尿病(type 2 diabetes,T2DM)患者发生幽门螺杆菌(Helicobacter pylori,Hp)感染的独立危险因素,构建并验证一个简单有效的风险预测模型,为干预治疗提供合理参考意见。方法选取3967例在锦州医科大学附属第一医院健康管理中心进行检查的T2DM患者,采用随机抽样法抽取70%患者为训练集,剩余30%组成验证集。收集所有研究对象的体检资料、调查其生活方式,通过单因素、多因素分析筛选出独立危险因素,构建列线图模型,应用受试者工作特征(receiver operating characteristic curve,ROC)曲线、校正曲线验证预测模型的准确性及有效性。结果T2DM患者中发生Hp感染的有1647例,占比41.52%。Logistic回归分析筛选出性别、吸烟、高血压、中性粒细胞百分比、体质量指数(body mass index,BMI)、低密度脂蛋白胆固醇(low-density lipoprotein cholesterol,LDL-C)是T2DM患者发生Hp感染的独立危险因素。根据变量绘制列线图预测模型,模型预测训练集和验证集患者发生Hp感染的ROC曲线下面积(area under curve,AUC)分别为0.7965、0.8238,提示本模型有中度预测价值;训练集和验证集的校正曲线均表现出实际诊断与预测诊断之间的良好一致性。结论包含性别、吸烟、高血压、中性粒细胞百分比、BMI、LDL-C的预测模型有较好的准确性,可有效筛查出T2DM伴Hp感染的高危人群。
Objective The independent risk factors for Helicobacter pylori infection were analyzed in patients with type 2 diabetes mellitus(T2DM).A simple and effective risk prediction model was constructed and verified,which provided a reasonable reference for intervention.Methods A total of 3967 T2DM patients were enrolled in the Health Management Center of the First Affiliated Hospital of Jinzhou Medical University.Seventy percent of the patients were selected by random sampling as the training set,and the remaining 30%served as the validation set.The physical examination data of all subjects were collected and their lifestyles was investigated.Independent risk factors were screened out through single-and multi-factor analysis,and a line graph model was constructed.Receiver operating characteristic(ROC)and correction curves were used to verify the accuracy and effectiveness of the prediction model.Results Hp infection occurred in 1647 T2DM patients(41.52%).Logistic regression analysis showed that gender,cigarette smoking,hypertension,percentage of neutrophils,body mass index(BMI),and low-density lipoprotein-cholesterol(LDL-C)were independent risk factors for Hp infection.Based on the variables to plot a line graph prediction model,the area under the ROC curve(AUC)for an Hp infection in the training and validation sets was 0.7965 and 0.8238,respectively,suggesting that the model has moderate predictive value.The calibration curves of both the training and validation sets showed good consistency between the actual and predicted diagnoses.Conclusion The predictive models,including gender,cigarette smoking,hypertension,percentage of neutrophils,BMI,and LDL-C level had good accuracy,and effectively screened high-risk populations of T2DM patients with Hp infections.
作者
罗宏
徐锦江
LUO Hong;XU Jin-jiang(Nursing School of Jinzhou Medical University,Liaoning 121000,China;不详)
出处
《慢性病学杂志》
2022年第7期1034-1039,共6页
Chronic Pathematology Journal
关键词
糖尿病
幽门螺杆菌感染
低密度脂蛋白胆固醇
血压
Diabetes mellitus
Helicobacter pylori
Low-density lipoprotein-cholesterol
Hypertension
