[1]钱晰彦 汤一帆 梅克文 高春红 范云霞 李婷茹.高血压患者心血管疾病发病风险的Rothman-Keller模型构建[J].心血管病学进展,2025,(6):548.[doi:10.16806/j.cnki.issn.1004-3934.2025.06.016]
 QIAN Xiyan,TANG Yifan,MEI Kewen,et al.The Construction of Rothman-Keller Model for the Cardiovascular Disease Risk in Hypertensive Patients[J].Advances in Cardiovascular Diseases,2025,(6):548.[doi:10.16806/j.cnki.issn.1004-3934.2025.06.016]
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高血压患者心血管疾病发病风险的Rothman-Keller模型构建()

《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2025年6期
页码:
548
栏目:
论著
出版日期:
2025-06-25

文章信息/Info

Title:
The Construction of Rothman-Keller Model for the Cardiovascular Disease Risk in Hypertensive Patients
作者:
钱晰彦1 汤一帆1 梅克文 2 高春红 3 范云霞 2 李婷茹 1
(1.南京医科大学第一附属医院老年心血管科,江苏 南京 210000;2.南京医科大学第一附属医院老年医学科,江苏 南京 210000;3.南京医科大学第一附属医院护理部,江苏 南京 210000)
Author(s):
QIAN Xiyan1TANG Yifan1MEI Kewen2GAO Chunhong3FAN Yunxia2LI Tingru1
(1.Department of Geriatric Cardiology,The First Affiliated Hospital of Nanjing Medical University,Nanjing 210000, Jiangsu,China2.Department of Geriatrics,The First Affiliated Hospital of Nanjing Medical University,Nanjing 210000, Jiangsu,China3.Department of Nursing,The First Affiliated Hospital of Nanjing Medical University,Nanjing 210000, Jiangsu,China)
关键词:
高血压心血管疾病影响因素meta分析Rothman-Keller模型
Keywords:
High blood pressure Cardiovascular diseases Influencing factors Meta-analysis Rothman-Keller model
DOI:
10.16806/j.cnki.issn.1004-3934.2025.06.016
摘要:
目的 构建用于评估高血压人群发生心血管疾病(CVD)风险的 Rothman-Keller模型,并在模型的基础上确定疾病风险等级的划分。方法 本研究在PubMed、Embase、Web of Science、CINAHL等数据库中全面检索2022年11月之前公开发表的英文文献,提取被纳入文献的相关数据,采用Revman 5.3.5软件进行meta分析,通过OR值及暴露率等计算出相关参数,建立Rothman-Keller模型,再通过二项分布函数的方法来确定风险等级界限。结果 最终共纳入了60篇文章进行meta分析,共得到11种危险因素,分别为男性、高龄、高胆固醇、低肾小球滤过率、糖尿病、贫血、体能状态差、高血压治疗经历、高血压控制不佳、抑郁、睡眠呼吸暂停。将11项危险因素的二项分布函数随机生成的20 000例数据代入到Rothman-Keller模型中,绘制出了高血压患者发生CVD风险的发病风险曲线,选择0.373 7、0.605 4作为低、中、高危的分界值。结论 本研究构建的高血压患者CVD发病风险的Rothman-Keller模型简单易行,并具有一定的准确性及预测能力,可为临床识别高血压人群中可能发生CVD的高风险患者提供帮助,促进CVD一级预防,具有一定的参考意义。
Abstract:
Objective To construct a Rothman-Keller model for assessing the risk of cardiovascular disease (CVD) in hypertensive populations and to determine the classification of disease risk levels based on the model. Methods This study comprehensively searched PubMed ,Embase,Web of Science,CINAHL,and other databases for publicly available English literature published before November 2021. Relevant data from included articles were extracted,and a meta-analysis was conducted using Revman 5.3.5 software. Relevant parameters were calculated through OR values and exposure rates ,and the Rothman-Keller model was established. The risk level boundaries were determined using the method of binomial distribution functions. Results A total of 60 articles were finally included for Meta-analysis,yielding 11 risk factors: male gender,advanced age,high cholesterol,low glomerular filtration rate,diabetes,anemia,poor physical condition,history of hypertension treatment,poor hypertension control,depression,and sleep apnea. The binomial distribution function of these 11 risk factors randomly generated 20 000 sets of data,which were input into the Rothman-Keller model to plot the incidence risk curve for CVD in hypertensive patients. The values 0.373 7 and 0.605 4 were selected as the boundaries for low,medium,and high risk. Conclusion The Rothman-Keller model constructed in this study for assessing the risk of CVD in hypertensive patients is simple and feasible ,with certain accuracy and predictive ability. It can assist in identifying high-risk patients among hypertensive populations who may develop CVD,promoting primary prevention of CVD,and has certain reference significance

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