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血清晚期糖基化终末产物检测对 2 型糖尿病并发症的临床意义 及其膳食关联性研究.

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العنوان: 血清晚期糖基化终末产物检测对 2 型糖尿病并发症的临床意义 及其膳食关联性研究. (Chinese)
Alternate Title: Clinical Significance of Serum Late Glycation End Product Detection on Complications of Type 2 Diabetes Mellitus and its Association with Diet. (English)
المؤلفون: 刘德胜, 郭小佩, 郑 瑞, 陈 会, 刘清泉
المصدر: Progress in Modern Biomedicine; Nov2024, Vol. 24 Issue 21, p4099-4106, 8p
مصطلحات موضوعية: TYPE 2 diabetes, MULTIPLE regression analysis, DIETARY patterns, LOGISTIC regression analysis, AGE differences
Abstract (English): Objective: To explore the effects of AGEs as risk factors and other clinical indicators on the progression of type 2 diabetes complications at different stages, and the effects of risk factors such as dietary nutrient intake, dietary score and AGEs on the progression of type 2 diabetes complications at different stages. Methods: A total of 318 patients from the Department of Endocrinology of Tangdu Hospital were enrolled and divided into simple group, combined group (microvascular disease group, macrovascular disease group, microvascular and macrovascular disease group), and healthy group (30 cases) according to the guidelines for the prevention and treatment of type 2 diabetes mellitus (2020 edition). After the homogeneity test of normal distribution and variance of AGEs and other clinical risk factors, parametric and non-parametric univariate analysis was performed according to the results, and multiple logistic regression was constructed to predict the risk model of type 2 diabetes mellitus progression to complications based on serum AGEs and risk factors, and multiple regression analysis between AGEs and risk factors. A Spearman rank correlation test and cluster analysis were constructed for nutrient content, dietary pattern scores, AGEs and comorbidity progression. Results: There were statistically significant differences in AGEs, age, SBP, course of disease, HCY, SCR, GFR, CysC, Ca, Apo-B, TC, TG, and LDL-C between the simple group and the combined group (P<0.05). There were statistically significant differences in AGEs, heart rate, age, SBP, course of disease, HCY, SCR, GFR, CysC, Apo-B, TC, HDL-C, and LDL-C among the simple group, microvascular group, macrovascular group, and microvascular and macrovascular groups (P<0.05). Multivariate Logistic regression analysis showed that increasing age, increased heart rate, prolonged disease course, and elevated CysC were independent risk factors for type 2 diabetes comorbidities, while elevated AGEs and elevated Ca were independent protective factors. Multiple linear regression analysis showed that BMI, Ca, ALT and DBP had negative effects on AGEs, while GFR, AST, TC and disease course had positive effects on AGEs (P<0.05). Correlation analysis showed that AGEs were closely related to HEI-total score, AHEI-total score, and DBI-2022 low bound score. Cluster analysis showed that AGEs were close to HEI and AHEI. Conclusion: AGEs and a variety of clinical factors play a certain role in the progression of type 2 diabetes mellitus and complications, and the combination of multiple dietary pattern scores with AGEs can assess the risk of progression to type 2 diabetes and its comorbidities in healthy people, and give more specific guidance and improvement at the dietary level. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 目的: 探索 AGEs 作为危险因素与其他临床指标对 2 型糖尿病并发症各阶段进展的影响, 以及膳食营养素摄入、膳食评分与 AGEs 等危险因素对 2 型糖尿病并发症各阶段进展的作用。方法: 纳入唐都医院内分泌科患者 318 例, 根据 2 型糖尿病防治指南 (2020 版) 分为单纯组、合并组 (微血管病变组、大血管病变组、微血管及大血管病变组), 以及健康组 30 例。对 AGEs 和其他临床 危险因素正态分布与方差齐性检验后、根据结果行参数化与非参数化单因素分析, 多元 Logistic 回归构建依据血清 AGEs 及危险 因素预测 2 型糖尿病向并发症进展的风险模型、以及 AGEs 与危险因素之间的多元回归分析。构建营养素、膳食模式评分、AGEs 与合并症进展的 Spearman 秩相关检验与聚类分析。结果: AGEs、年龄、SBP、病程、HCY、SCR、GFR、CysC、Ca、Apo-B、TC、TG、 LDL-C 在单纯组与合并组间存在统计学差异 (P＜0.05)。AGEs、心率、年龄、SBP、病程、HCY、SCR、GFR、CysC、Apo-B、TC、HDL-C、 LDL-C 在单纯组、微血管组、大血管组、微血管与大血管组间存在统计学差异 (P＜0.05) 。多因素 Logistic 回归分析显示, 年龄增 加、心率升高、病程延长、CysC 升高为 2 型糖尿病合并症的独立危险因素, AGEs 升高、Ca 升高为独立保护因素。变量间多元线性 回归分析发现、BMI、Ca、ALT、DBP 对 AGEs 存在负向影响, GFR、AST、TC、病程对 AGEs 存在正向影响 (P＜0.05)。相关性分析发 现 AGEs 与 HEI- 总分、AHEI- 总分、DBI-2022 负向分密切相关。聚类分析提示, AGEs 与 HEI、AHEI 距离较近。结论: AGEs 及多种 临床因素对 2 型糖尿病单纯及并发症进展存在一定作用, 并且多种膳食模式评分结合 AGEs、能评估健康人群向 2 型糖尿病及其 合并症进展风险、给予膳食层面上更加具体的指导与改善。 [ABSTRACT FROM AUTHOR]
Copyright of Progress in Modern Biomedicine is the property of Publishing House of Progress in Modern Biomedicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
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Array ( [Name] => AbstractNonEng [Label] => Abstract (Chinese) [Group] => Ab [Data] => 目的: 探索 AGEs 作为危险因素与其他临床指标对 2 型糖尿病并发症各阶段进展的影响, 以及膳食营养素摄入、膳食评分与 AGEs 等危险因素对 2 型糖尿病并发症各阶段进展的作用。方法: 纳入唐都医院内分泌科患者 318 例, 根据 2 型糖尿病防治指南 (2020 版) 分为单纯组、合并组 (微血管病变组、大血管病变组、微血管及大血管病变组), 以及健康组 30 例。对 AGEs 和其他临床 危险因素正态分布与方差齐性检验后、根据结果行参数化与非参数化单因素分析, 多元 Logistic 回归构建依据血清 AGEs 及危险 因素预测 2 型糖尿病向并发症进展的风险模型、以及 AGEs 与危险因素之间的多元回归分析。构建营养素、膳食模式评分、AGEs 与合并症进展的 Spearman 秩相关检验与聚类分析。结果: AGEs、年龄、SBP、病程、HCY、SCR、GFR、CysC、Ca、Apo-B、TC、TG、 LDL-C 在单纯组与合并组间存在统计学差异 (P＜0.05)。AGEs、心率、年龄、SBP、病程、HCY、SCR、GFR、CysC、Apo-B、TC、HDL-C、 LDL-C 在单纯组、微血管组、大血管组、微血管与大血管组间存在统计学差异 (P＜0.05) 。多因素 Logistic 回归分析显示, 年龄增 加、心率升高、病程延长、CysC 升高为 2 型糖尿病合并症的独立危险因素, AGEs 升高、Ca 升高为独立保护因素。变量间多元线性 回归分析发现、BMI、Ca、ALT、DBP 对 AGEs 存在负向影响, GFR、AST、TC、病程对 AGEs 存在正向影响 (P＜0.05)。相关性分析发 现 AGEs 与 HEI- 总分、AHEI- 总分、DBI-2022 负向分密切相关。聚类分析提示, AGEs 与 HEI、AHEI 距离较近。结论: AGEs 及多种 临床因素对 2 型糖尿病单纯及并发症进展存在一定作用, 并且多种膳食模式评分结合 AGEs、能评估健康人群向 2 型糖尿病及其 合并症进展风险、给予膳食层面上更加具体的指导与改善。 [ABSTRACT FROM AUTHOR] )
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