Suppr超能文献

多状态马尔可夫模型在2型糖尿病患者慢性并发症数量转变及影响因素研究中的应用

[Application of multi-state Markov model in studying transition of number of chronic complications and influencing factors in type 2 diabetes mellitus patients].

作者信息

Shi S Y, Zhao H Y, Liu Z K, Yang Q Q, Shen P, Zhan S Y, Lin H B, Sun F

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Peking University, Beijing 100191, China.

Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo 315100, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Jul 10;42(7):1274-1279. doi: 10.3760/cma.j.cn112338-20210128-00075.

Abstract

To establish a multi-state Markov model of type 2 diabetes mellitus (T2DM) patients and explore the transition rule between the cumulative number of different chronic complications, estimate the transition probability and intensity between status, and explore the possible factors affecting the transition between status. A retrospective cohort study of 33 575 patients with T2DM was conducted. According to the baseline and the cumulative number of chronic complications during the follow-up period, the patients were classified based on five status: T2DM, one complication, two complications, three complications, four and above complication, indicated by S0, S1, S2, S3 and S4, respectively. A time-continuous and state-discrete multi-state irreversible Markov model was used for statistical analysis. The study included 33 575 T2DM patients, and their average age was 60 years old, the median of follow-up length was 8 years. In these patients, 32 653 had no baseline complications. At the end of follow-up, the transition probabilities of S0→S1, S1→S2, S2→S3 and S3→S4 were 16.4%, 32.4%, 45.6% and 25.9%, respectively. The results of multivariate analysis showed that being female (=0.919), less than 60 years old (=0.929), higher fasting plasma glucose (=1.601), lower high-density lipoprotein (=1.087), higher total cholesterol (=1.090),weekly exercise (=0.897), vegetarian diet (=0.852) and heavy diet (=1.887) were the risk factors for S0 to S1. And being female (=0.768), less than 60 years old (=0.859) and lower high-density lipoprotein (=1.160) were the risk factors for S1 to S2. The probability of multiple complications in T2DM patients increased over time, the transition intensity of S2→S3 was largest, followed by S1→S2. Therefore, we need to conduct both early and long-term indicators monitoring and disease prevention, strengthen the health education to improve patients' daily living habits at early stage of the illness, encourage patients to have moderate exercise and balanced diet, strengthen the monitoring of fasting blood- glucose, cholesterol and high-density lipoprotein levels to prevent the deterioration of the illness.

摘要

建立2型糖尿病(T2DM)患者的多状态马尔可夫模型,探索不同慢性并发症累积数量之间的转变规律,估计状态之间的转移概率和强度,并探讨影响状态转变的可能因素。对33575例T2DM患者进行了一项回顾性队列研究。根据基线和随访期间慢性并发症的累积数量,将患者分为五种状态:T2DM、一种并发症、两种并发症、三种并发症、四种及以上并发症,分别用S0、S1、S2、S3和S4表示。采用时间连续、状态离散的多状态不可逆马尔可夫模型进行统计分析。该研究纳入了33575例T2DM患者,他们的平均年龄为60岁,随访时间中位数为8年。在这些患者中,32653例无基线并发症。随访结束时,S0→S1、S1→S2、S2→S3和S3→S4的转移概率分别为16.4%、32.4%、45.6%和25.9%。多因素分析结果显示,女性(=0.919)、年龄小于60岁(=0.929)、空腹血糖较高(=1.601)、高密度脂蛋白较低(=1.087)、总胆固醇较高(=1.090)、每周运动(=0.897)、素食(=0.852)和饮食油腻(=1.887)是S0至S1的危险因素。女性(=0.768)、年龄小于60岁(=0.859)和高密度脂蛋白较低(=1.160)是S1至S2的危险因素。T2DM患者发生多种并发症的概率随时间增加,S2→S3的转变强度最大,其次是S1→S2。因此,我们需要进行早期和长期指标监测及疾病预防,在疾病早期加强健康教育以改善患者日常生活习惯,鼓励患者适度运动和均衡饮食,加强对空腹血糖、胆固醇和高密度脂蛋白水平的监测以防止病情恶化。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验