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老年高血压患者颈动脉硬化风险预测模型的建立

Establishment of a risk prediction model for carotid artery stiffness in elderly hypertensive patient
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摘要 分析老年高血压患者颈动脉硬化影响因素,并建立其预测列线图模型。选择2022年4月至2023年3月我院接诊的老年高血压患者782例,以7:3比例分为2组,其中模型组547例,验证组235例。收集可能影响老年高血压患者颈动脉硬化相关因素,根据是否存在颈动脉硬化将患者分为2组。比较2组基本资料与疾病相关指标,用LASSO回归筛选出潜在影响因素后行多因素分析,以此建立预测模型并验证。结果表明本研究建立的模型可用于预测老年高血压患者颈动脉硬化,为此类患者颈动脉硬化预防干预方案的设计提供参考。 To analyze the influencing factors of carotid atherosclerosis in elderly hypertensive patients and establish a predictive column chart model.782 elderly hypertensive patients admitted to our hospital from April 2022 to March 2023 were selected and divided into two groups in a 7:3 ratio,with 547 in the model group and 235 in the validation group.Collect factors that may affect carotid atherosclerosis in elderly hypertensive patients and divide them into two groups based on the presence of carotid atherosclerosis.Compare two sets of basic data with disease-related indicators,use LASSO regression to screen out potential influencing factors,and conduct multivariate analysis to establish a predictive model and verify it.The results indicate that the model established in this study can be used to predict carotid atherosclerosis in elderly hypertensive patients,providing reference for the design of preventive intervention plans for carotid atherosclerosis in such patients.
作者 牟博勇 侯国清 庞艳蓉 刘明涛 黄晓玲 Mu Boyong;Hou Guoqing;Pang Yanrong;Liu Mingtao;Huang Xiaoming(Department of cardiovascular medicine,Wenjiang Hospital of Sichuan Provincial People's Hospital,Chengdu,Sichuan,611130)
出处 《现代科学仪器》 2024年第5期128-132,共5页 Modern Scientific Instruments
基金 2019四川省医学会高血压疾病专项科研课题(2019TG23)。
关键词 老年 高血压 颈动脉硬化 LASSO回归 多因素分析 列线图模型 elderly hypertension carotid atherosclerosis LASSO regression multifactorial analysis Nomogram
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