scholarly journals Is Serum Uric Acid an Added Risk Factor for Micro-Vascular Complications of Diabetes Mellitus? – A Prospective Study

Author(s):  
Santni Manickam ◽  
Prashanth Arun ◽  
Velammal Petchiappan ◽  
Sujaya Menon
Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
Masanari Kuwabara ◽  
Shigeko Hara ◽  
Koichiro Niwa ◽  
Minoru Ohno ◽  
Ichiro Hisatome

Objectives: Prehypertension frequently progresses to hypertension and is associated with cardiovascular diseases, stroke, excess morbidity and mortality. However, the identical risk factors for developing hypertension from prehypertension are not clarified. This study is conducted to clarify the risks. Methods: We conducted a retrospective 5-year cohort study using the data from 3,584 prehypertensive Japanese adults (52.1±11.0 years, 2,081 men) in 2004 and reevaluated it 5 years later. We calculated the cumulative incidences of hypertension over 5 years, then, we detected the risk factors and calculated odds ratios (ORs) for developing hypertension by crude analysis and after adjustments for age, sex, body mass index, smoking and drinking habits, baseline systolic and diastolic blood pressure, pulse rate, diabetes mellitus, dyslipidemia, chronic kidney disease, and serum uric acid. We also evaluated whether serum uric acid (hyperuricemia) provided an independent risk for developing hypertension. Results: The cumulative incidence of hypertension from prehypertension over 5 years was 25.3%, but there were no significant differences between women and men (24.4% vs 26.0%, p=0.28). The cumulative incidence of hypertension in subjects with hyperuricemia (n=726) was significantly higher than those without hyperuricemia (n=2,858) (30.7% vs 24.0%, p<0.001). After multivariable adjustments, the risk factors for developing hypertension from prehypertension were age (OR per 1 year increased: 1.023; 95% CI, 1.015-1.032), women (OR versus men: 1.595; 95% CI, 1.269-2.005), higher body mass index (OR per 1 kg/m 2 increased: 1.051; 95% CI 1.021-1.081), higher baseline systolic blood pressure (OR per 1 mmHg increased: 1.072; 95% CI, 1.055-1.089) and diastolic blood pressure (OR per 1 mmHg increased: 1.085; 95% CI, 1.065-1.106), and higher serum uric acid (OR pre 1 mg/dL increased: 1.149; 95% CI, 1.066-1.238), but not smoking and drinking habits, diabetes mellitus, dyslipidemia, and chronic kidney diseases. Conclusions: Increased serum uric acid is an independent risk factor for developing hypertension from prehypertension. Intervention studies are needed to clarify whether the treatments for hyperuricemia in prehypertensive subjects are useful.


Author(s):  
Anna C van der Burgh ◽  
Arthur Moes ◽  
Brenda C T Kieboom ◽  
Teun van Gelder ◽  
Robert Zietse ◽  
...  

Abstract Background Retrospective studies suggest that tacrolimus-induced hypomagnesaemia is a risk factor for post-transplant diabetes mellitus (PTDM), but prospective studies are lacking. Methods This was a prospective study with measurements of serum magnesium and tacrolimus at pre-specified time points in the first year after living donor kidney transplantation (KT). The role of single nucleotide polymorphisms (SNPs) in hepatocyte nuclear factor 1β (HNF1β) was also explored because HNF1β regulates insulin secretion and renal magnesium handling. Repeated measurement and regression analyses were used to analyse associations with PTDM. Results In our cohort, 29 out of 167 kidney transplant recipients developed PTDM after 1 year (17%). Higher tacrolimus concentrations were significantly associated with lower serum magnesium and increased risk of hypomagnesaemia. Patients who developed PTDM had a significantly lower serum magnesium trajectory than patients who did not develop PTDM. In multivariate analysis, lower serum magnesium, age and body mass index were independent risk factors for PTDM. In recipients, the HNF1β SNP rs752010 G > A significantly increased the risk of PTDM [odds ratio (OR) = 2.56, 95% confidence interval (CI) 1.05–6.23] but not of hypomagnesaemia. This association lost significance after correction for age and sex (OR = 2.24, 95% CI 0.90–5.57). No association between HNF1β SNPs and PTDM was found in corresponding donors. Conclusions A lower serum magnesium in the first year after KT is an independent risk factor for PTDM. The HNF1β SNP rs752010 G > A may add to this risk through an effect on insulin secretion rather than hypomagnesaemia, but its role requires further confirmation.


2021 ◽  
Vol 8 (11) ◽  
pp. 1633
Author(s):  
Mit Panchani ◽  
Neha Dutt ◽  
Vandana Dhangar ◽  
Vinod Dandge

Background: The need for early indicators of diabetic complications is essential to prevent late complications and their deleterious effects. There is a need for sensitive serum markers that are associated with diabetes and its complications. Estimation of these parameters helps in early intervention, thereby delaying the chronic complications of diabetes in the early stages. Hyperuricemia has been shown to be linked to a number of diseases and conditions including gout, hypertension, cardiovascular disease, myocardial infarction, stroke and renal disease. Uric acid has long been associated with delayed complications of diabetes mellitus. This study was conducted on 357 patients of diabetes mellitus to investigate the significance of serum uric acid levels and its correlation with it.Methods: This is an observational cross-sectional study carried out amongst 357 patients with T2DM attending out-patient department as well as indoor patients under medicine department at Surat Municipal Institute of Medical Education and Research (SMIMER) Hospital, of south Gujarat.Results: There is highly significant association seen between HbA1c (glycated hemoglobin) and uric acid levels in present study (p<0.001). There is significant association seen between fasting blood sugar (FBS) levels and uric acid levels in the study (p=0.0253).Conclusions: There is increase in uric acid levels in diabetic patients with increased levels of HbA1c. Thus, serum uric acid may serve as a potential biomarker of the deterioration of glucose metabolism. 


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e84712 ◽  
Author(s):  
Yeqiang Liu ◽  
Cheng Jin ◽  
Aijun Xing ◽  
Xiurong Liu ◽  
Shuohua Chen ◽  
...  

2015 ◽  
Vol 3 (1) ◽  
pp. 10-15
Author(s):  
Dr. Urmila Singh ◽  
◽  
Dr Seema Mehrotra ◽  
Dr Renu Singh ◽  
Dr Sujata Sujata ◽  
...  

2019 ◽  
Vol 12 (2) ◽  
pp. 169-178
Author(s):  
Lili Liu ◽  
Bixia Gao ◽  
Jinwei Wang ◽  
Chao Yang ◽  
Shouling Wu ◽  
...  

2018 ◽  
Vol 129 (01) ◽  
pp. 50-55 ◽  
Author(s):  
Ken-ichiro Tanaka ◽  
Ippei Kanazawa ◽  
Masakazu Notsu ◽  
Toshitsugu Sugimoto

Abstract Objective Sarcopenia has been recognized as a diabetic complication, and hyperuricemia is often accompanied by type 2 diabetes mellitus (T2DM). However, it is unknown whether serum uric acid (UA) levels are associated with reduced muscle mass in T2DM. Methods We conducted a cross-sectional study to investigate the association of serum UA with muscle mass in 401 subjects with T2DM (209 men and 192 postmenopausal women). The relative skeletal muscle mass index (RSMI) was evaluated using whole-body dual-energy x-ray absorptiometry. Results Multiple regression analyses adjusted for body weight, age, serum creatinine, hemoglobin A1c (HbA1c), and duration of T2DM showed that serum UA was negatively associated with RSMI in all subjects and men with T2DM (β=−0.13, p=0.001 and β=−0.17, p=0.003, respectively). Moreover, logistic regression analyses adjusted for these confounding factors showed that a higher serum UA level was significantly associated with low RSMI in men with T2DM [odds ratio (OR)=1.94, 95% confidence interval (CI)=1.10–3.45 per SD increase, p=0.023]. In addition, higher serum UA levels were significantly associated with low RSMI after additional adjustment for age, duration of T2DM, HbA1c level, serum creatinine level, and sex in all subjects with T2DM [OR=1.80, 95% CI=1.20–2.72 per SD increase, p=0.005]. Conclusions The present study showed for the first time that higher serum UA is an independent risk factor of reduced muscle mass in men with T2DM.


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