糖尿病患者发生心绞痛的影响因素分析及其贝叶斯网络风险预测

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[中图分类号] R587.1 [文献标志码] A

Analysis on influencing factors for occurrence of angina pectoris in diabetic mellitus patients and its Bayesian network riskprediction

LI Shuang， GE Jiayu， CONG Xianzhu， WANG Aimin，KONG Yujia， SHI Fuyan，WANG Suzhen （Department of Health Statistics，School of Public Health，Shandong Second Medical University， Weifang 261053，China）

ABSTRACT Objective：To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus（DM），to construct a Bayesian network model to explore the network relationships among the influencing factors，and to predict the risk of angina pectoris in the patients with DM.Methods：Based on the UK Biobank（UKB） database，the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM. The taboo search algorithm was used for structure learning，and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results：A total of 22 712 DM patients were included. The influencing factors of angina pectoris in the patients with DM included 14 variables：gender，age，body mass index（BMI）， triglycerides（TG），total cholesterol（TC），glycated hemoglobin（HbAlc），hypertension，matermal smoking around delivery，smoking status，alcohol consumption，regular exercise，insomnia，sleep duration，and childhood relative bodysize （ .p<0.05 ）.ABayesian network model was constructed with 15 nodes and 22 directed edges.Among them，age，HbAlc，hypertension，regular exercise，BMI，and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM，while gender，smoking status，alcohol consumption，TC，TG，insomnia，childhood relative body size，and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM. Conclusion： Age，HbAlc，hypertension，regular exercise，BMI，and sleep duration are direct influencing factors of angina pectoris in the patients with DM. Controling HbAlc，blood pressure，and BMI levels，engaging in regular exercise，and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patientswith DM.

KEYWORDsDiabetes melitus；Angina pectoris；Bayesian network；Risk prediction；Taboo search algorithm

糖尿病（diabetesmellitus，DM）是一组多病因引起的以慢性高血糖为特征的代谢性疾病，极易对患者的血管和神经系统造成损伤，导致DM患者发生心脑血管疾病的风险比非DM患者增加了 2～ 4倍[1-2]。（剩余8964字）