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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

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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.
Establishment of a risk prediction model for carotid artery stiffness in elderly hypertensive patient
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.

elderlyhypertensioncarotid atherosclerosisLASSO regressionmultifactorial analysisNomogram

牟博勇、侯国清、庞艳蓉、刘明涛、黄晓玲

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四川省人民医院温江医院 成都市温江区人民医院,611130

老年 高血压 颈动脉硬化 LASSO回归 多因素分析 列线图模型

2024

现代科学仪器
中国分析测试协会

现代科学仪器

CSTPCD
影响因子:0.329
ISSN:1003-8892
年,卷(期):2024.41(5)