The study of prevalence of hyperuricemia and metabolic syndrome in type 2 diabetes mellitus

作者
Sanjay Mundhe,Dinkar Mhasde
出处
期刊:International Journal of Advances in Medicine [Medip Academy]
卷期号:: 241-249 被引量:21
标识
DOI:10.18203/2349-3933.ijam20160655
摘要

Background: Type 2 diabetes mellitus (Type 2 DM) is associated with cardiovascular complications, of which metabolic syndrome plays a prominent role. The metabolic syndrome is a cluster of cardiovascular risk factors characterized by central obesity, insulin resistance, dyslipidemia and hypertension. Hyperuricemia is gaining importance as cardiovascular risk factor and has role in renal and metabolic diseases. Our study was aimed to find out the prevalence of hyperuricemia and metabolic syndrome in type 2 DM and to evaluate association of hyperuricemia with metabolic syndrome.Methods: This observational longitudinal study was carried out on 150 patients of type 2 DM patients for determination of hyperuricemia and components of metabolic syndrome.Results: Metabolic syndrome was diagnosed in 68 patients (45.3%) with higher prevalence in males (53.4%) than females (33.9%). Hyperuricemia was found in 38 patients (25.3%) with higher prevalence in males (33%) than females (14.5%). Hyperuricemia and metabolic syndrome was found in 32 (21.3%) patients with higher prevalence among males (27.3%) than females (12.9%). The patients with hyperuricemia and metabolic syndrome compared to those without hyperuricemia and metabolic syndrome had higher mean age (63.16 versus 55), mean FBS (139.31 versus 117.23), mean duration of diabetes (12.66 versus 5.64), mean BMI (28.71 versus 24.61), systolic BP (128.50 versus 122.12), diastolic BP (80.63 versus 74.27), TG (176.28 versus 141.69) and lower HDL (39.63 versus 52.03).Conclusions: Prevalence of hyperuricemia is higher in patients of type 2 diabetes with metabolic syndrome and is positively correlated with BMI, blood pressure and triglycerides and negatively correlated with HDL-C.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
乐烯发布了新的文献求助10
刚刚
@@@发布了新的文献求助10
刚刚
刚刚
金秋时节雨纷纷完成签到,获得积分10
刚刚
哄哄发布了新的文献求助10
1秒前
杨帆发布了新的文献求助10
1秒前
不教授完成签到,获得积分10
2秒前
Duha完成签到,获得积分10
2秒前
CMCM发布了新的文献求助10
2秒前
2秒前
赘婿应助4qfguj采纳,获得10
3秒前
星星发布了新的文献求助10
4秒前
4秒前
析界成微发布了新的文献求助10
4秒前
4秒前
完美世界应助Wzzzz采纳,获得10
4秒前
5秒前
aajhajkahna应助yuu采纳,获得20
5秒前
东方元语应助龙科采纳,获得20
5秒前
6秒前
潘佳琪完成签到 ,获得积分10
6秒前
7秒前
7秒前
JamesPei应助onion采纳,获得10
7秒前
ldy完成签到,获得积分10
7秒前
爆米花应助Lx采纳,获得10
7秒前
受伤含蕾完成签到,获得积分20
8秒前
翻糖顺利毕业完成签到,获得积分10
8秒前
挞挞不太胖完成签到 ,获得积分10
8秒前
miemie完成签到,获得积分10
9秒前
华仔应助苹果大福采纳,获得10
10秒前
!hau发布了新的文献求助10
10秒前
开始完成签到,获得积分10
10秒前
10秒前
英姑应助12umi采纳,获得10
10秒前
10秒前
杨帆完成签到,获得积分10
10秒前
印度free饼完成签到,获得积分10
11秒前
温柔海发布了新的文献求助10
11秒前
Lucas应助Peterpk采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7630034
求助须知:如何正确求助?哪些是违规求助? 9204527
关于积分的说明 19738230
捐赠科研通 7199553
什么是DOI,文献DOI怎么找? 3274356
关于科研通互助平台的介绍 2436486
邀请新用户注册赠送积分活动 2270620