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维持性血液透析患者心脑血管疾病的风险预测模型的建立

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目的 建立维持性血液透析患者心脑血管疾病的风险预测模型,为维持性血液透析患者心脑血管疾病的诊治提供依据.方法 选取2019年1月至2022年1月在泰安八十八医院行血液透析的患者100例为研究对象.随访2年并记录患者发生心脑血管疾病的时间.采用logistic建立维持性血液透析患者心脑血管疾病风险预测评分模型.ROC曲线验证模型的准确性.结果 共纳入100例患者,随访脱落2例,共98例患者完成了本研究.其中男58例,女40例.随访时,共有27例(27.55%)患者发生冠状动脉事件(18例不稳定型心绞痛和9例急性心肌梗死),23例(23.47%)脑血管疾病;共有7例(7.14%)患者死于心脑血管疾病.共有50例患者发生心脑血管疾病,48例未发生心脑血管疾病,3例患者同时患有心脏疾病及脑血管疾病.血糖、尿酸、低密度脂蛋白、高血压史、原发疾病与心血管事件的发生有关,本研究通过以是否发生心脑血管疾病为状态变量,以风险预测模型的评分为结果变量,绘制ROC曲线.曲线下面积为0.974,灵敏度为95.8%,特异度为86.0%,95%CI为(0.944,1.000),最佳截断值为0.606.结论 本模型预测血液透析患者心脑血管发生灵敏度、特异度较高.
Development of a risk prediction model for cardiovascular and cerebrovascular diseases in patients under maintenance hemodialysis
Objective To develop a risk prediction model for cardiovascular and cerebrovascular diseases in patients under maintenance hemodialysis,and to provide a basis for the diagnosis and treatment of cardiovascular and cerebrovascular diseases in patients under maintenance hemodialysis.Methods A total of 100 patients who underwent hemodialysis in the Tai'an 88 Hospital from January 2019 to January 2022 were selected for the study.They were followed up for 2 years and the time of occurrence of cardiovascular and cerebrovascular diseases was recorded.logistic model was established to predict the risk scores of cardiovascular and cerebrovascular diseases in patients under maintenance hemodialysis.The accuracy of the model was verified by ROC curve.Results A total of 100 patients were enrolled with 2 dropped out at follow up,and a total of 98 patients completed this study.In these patients,58 were males and 40 were females.At follow-up,a total of 27(27.55%)patients experienced coronary events(18 cases of unstable angina and 9 cases of acute myocardial infarction)and 23(23.47%)patients had cerebrovascular diseases.7(7.14%)patients died due to cardiovascular and cerebrovascular diseases.A total of 50 patients developed and 48 patients did not develop cardiovascular and cerebrovascular diseases,with 3 patients suffering from both cardiovascular and cerebrovascular diseases.Blood glucose,uric acid,low-density lipoprotein,history of hypertension,and primary disease were associated with the occurrence of cardiovascular events.In this study,we plotted a ROC curve using the presence of cardiovascular and cerebrovascular diseases as the state variable and the score of the risk prediction model as the outcome variable.The area under the curve was 0.974,with a sensitivity of 95.8%,a specificity of 86.0%,95%CI of[0.944,1.000],and an optimal cutoff value of 0.606.Conclusion This model shows high sensitivity and specificity in the prediction of the occurrence of cardiovascular and cerebrovascular diseases in patients under hemodialysis.

HemodialysisCardiovascular and cerebrovascular diseasesRisk predictionModeling

王仲甜、宋娜

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山东省泰安八十八医院肾内科,山东泰安 271000

血液透析 心脑血管疾病 风险预测 模型建立

2024

中国医药科学
海峡两岸医药卫生交流协会 二十一世纪联合创新(北京)医药科学研究院

中国医药科学

影响因子:1.083
ISSN:2095-0616
年,卷(期):2024.14(19)