慢性肾脏疾病代谢成分和结果的纵向轨迹:国民健康保险服务-国民健康筛查队列。

IF 1 4区 医学 Q3 UROLOGY & NEPHROLOGY
Hyuk Huh, Jae Sung Lee, Eun Hee Park, Minji Noh, Hoseok Koo, Kyung Don Yoo
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引用次数: 0

摘要

目的:纵向轨迹分析可以为慢性肾脏疾病(CKD)中代谢因子的最佳水平提供重要的见解。本研究评估了慢性肾病患者代谢紊乱的纵向轨迹与预后之间的关系。材料和方法:我们使用的数据来自国民健康保险服务-国民健康筛查队列,其中包括从2002年和2003年健康筛查参与者中随机选择的514,866名受试者的数据,他们的年龄在40至79岁之间。根据代谢参数,包括血压(BP)、总胆固醇、甘油三酯、低密度脂蛋白胆固醇(LDL-C)和体重指数(BMI),使用k均值聚类(一种根据数据相似性将单个数据点分配给组的算法)将受试者分为轨迹组。根据距离最小的中心值将受试者分为轨迹相似的组。采用Calinski-Harabasz指数选择最优聚类数。结果是肾功能和全因死亡率下降。结果:共有24,094例CKD患者被纳入轨迹分析。聚类后将BP、甘油三酯、LDL-C分为低、高三类,BMI根据参与者的分布分为6类。Logistic回归分析显示,高收缩压轨迹和体重过轻轨迹与全因死亡率相关,而高收缩压轨迹、低舒张压轨迹和高甘油三酯轨迹与肾功能下降相关。结论:本研究表明代谢紊乱的纵向轨迹与CKD的预后之间存在关联。利用代谢参数的轨迹可以帮助预测CKD的肾脏结局和死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal trajectory of metabolic components and outcomes in chronic kidney disease: The National Health Insurance Service-National Health Screening Cohort.

Aims: Longitudinal trajectory analysis can provide important insights into the optimal levels of metabolic factors in chronic kidney disease (CKD). This study evaluated the association between longitudinal trajectories of metabolic disturbances and prognosis in CKD.

Materials and methods: We used data from the National Health Insurance Service-National Health Screening Cohort, which comprises data from 514,866 subjects randomly selected from the 2002 and 2003 health screening participants, who were aged between 40 and 79 years. Subjects were classified into trajectory groups using K-means clustering - an algorithm that assigns individual data points to groups according to similarity of the data - based on metabolic parameters, including blood pressure (BP), total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), and body mass index (BMI). Subjects were classified into groups with similar trajectories based on the central value with the minimum distance. The optimal number of clusters was selected using the Calinski-Harabasz index. Outcomes were a decline in renal function and all-cause mortality.

Results: A total of 24,094 CKD patients were included in the trajectory analysis. After clustering, BP, triglycerides, and LDL-C were divided into low and high categories, while BMI was classified into 6 categories according to the distribution of participants. Logistic regression analysis showed that a high systolic BP trajectory and underweight trajectory were associated with all-cause mortality, while high systolic BP, low diastolic BP, and high triglyceride trajectories were associated with a decline in renal function.

Conclusion: This study demonstrated the association between longitudinal trajectories of metabolic disturbances and the prognosis of CKD. Using trajectories of metabolic parameters could be helpful for predicting renal outcomes and mortality in CKD.

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来源期刊
Clinical nephrology
Clinical nephrology 医学-泌尿学与肾脏学
CiteScore
2.10
自引率
9.10%
发文量
138
审稿时长
4-8 weeks
期刊介绍: Clinical Nephrology appears monthly and publishes manuscripts containing original material with emphasis on the following topics: prophylaxis, pathophysiology, immunology, diagnosis, therapy, experimental approaches and dialysis and transplantation.
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