Correlation between muscle mass reduction and serum uric acid and urinary albumin in middle-aged and elderly type 2 diabetes men

Author:

Abstract

This cross-sectional study correlated the muscle mass reduction with serum uric acid and urinary albumin in middle-aged and elderly men having type 2 diabetes. The study subjects were 288 middle-aged and elderly male patients with type 2 diabetes (T2DM) admitted to our hospital. They were divided into sarcopenia (n = 95) and non-sarcopenia (n = 193) groups based on whether diagnosed with sarcopenia or not. The relevant clinical information of patients was collected. Single factor analysis and multiple factor regression analysis were employed to explore the influencing factors of sarcopenia. A binary logistic regression analysis model was established for the sarcopenia probability in middle-aged and elderly men with T2DM. Hosmer and Lemeshow test evaluated the Goodness of fit of probability model. ROC (Receiver Operating Characteristic) curve was drawn by SPSS and the predictive value of prediction model was evaluated. The univariate analysis depicted that the patients in sarcopenia group compared to those in non-sarcopenia were older with lower BMI (Body Mass Index), lower UA (Uric Acid) and higher CRP (C-reactive Protein). The differences were statistically significant (p < 0.05). The binary logistic regression analysis exhibited that the age and UACR (Urine Albumin-to-Creatinine Ratio) were the risk factors, while BMI and UA were the protective factors for sarcopenia in middle-aged and elderly men with T2DM. For middle-aged and elderly male patients with T2DM, age and UACR were the risk factors, and BMI and UA were the protective factors for sarcopenia. The changes in above-stated indicators of patients with T2DM should be clinically monitored, and early and active intervention be given to high-risk groups for minimizing the sarcopenia occurrence.

Publisher

MRE Press

Subject

Urology,General Medicine,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3