Association between serum uric acid, urinary albumin excretion, and glycated hemoglobin in Type 2 diabetic patient

Neupane, Sunita; Gautam, Narayan; Agrawal, Kopila; Jayan, Archana; Shrestha, Sujata; Jha, Amit Chandra

doi:10.4103/0300-1652.182074

Cited by 9 publications

(4 citation statements)

References 29 publications

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“…Multiple regression analysis was done which showed that serum uric acid concentration, systolic blood pressure, HbA1c and total duration of DM were independent determinants of UAE. 16 Another study done by Suryawanshi and associates showed a positive association between urine microalbumin and levels of uric acid in serum (p<0.001), hence concluded that the levels of uric acid in serum and urine microalbumin were early diagnostic markers for kidney and atherogenic cardiovascular diseases, besides this, it was also very helpful in defining the prognostic monitoring of the disease in Type-2 diabetics. 17…”

Section: Discussionmentioning

confidence: 94%

Correlation between Serum Uric Acid Level and Microalbuminuria in Type-2 Diabetic Nephropathy

et al. 2017

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Objective:To measure the correlation between microalbuminuria and serum uric acid level in Type-2 diabetic nephropathy.Methods:This cross-sectional study was done in department of Medicine, Mayo hospital Lahore from August 2014 to February 2015. A total of 200 patients with Type-2 diabetic nephropathy were enrolled in the study. Demographic data and contact details were obtained. Serum Uric acid and microalbuminuria by albumin to creatinine ratio (ACR) in random urine sample was measured at the time of inclusion of patients. All the information was collected through a pre-defined proforma. Pearson correlation coefficient and t-test were used to assess correlation and significance respectively.Results:Out of 200 cases, 29%(n=58) were between 16-40 years of age while 71%(n=142) were between 41-65 years of age, Mean ± SD was calculated as 48.1±10.26 years, 48.5%(n=97) were male and 51.5%(n=103) were females, Mean serum uric acid level was calculated as 6.99±1.01 mg/dL while microalbuminuria was calculated as 5.63±1.08 mg/mmol, r value was 0.0838 which is a positive correlation.Conclusion:The results of our study concluded that level of serum uric acid and microalbuminuria are significantly correlated to nephropathy in patients having Type-2 diabetes mellitus.

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Section: Discussionmentioning

confidence: 94%

Correlation between Serum Uric Acid Level and Microalbuminuria in Type-2 Diabetic Nephropathy

et al. 2017

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“…One study finds that TC and abnormal LDL-C values of patients with HbA1c ≥7.0% were significantly higher than those of patients with HbA1c <7.0% [ 32 ]. At the same time, studies on patients with type 2 diabetes have found that serum uric acid concentration is associated with microalbuminuria and glycosylated hemoglobin [ 33 ]. These results are consistent with our results, and our study further found that the risk of elevated HbA1c increased by 10.2% for each unit of TG and decreased by 48.0% for each unit of HDLC.…”

Section: Discussionmentioning

confidence: 99%

Role and Risk Factors of Glycosylated Hemoglobin Levels in Early Disease Screening

Chao

Zhu

Chen

2021

Journal of Diabetes Research

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Objective. To clarify the correlation among glycosylated hemoglobin (HbA1c), gender, age, fatty liver, and biochemical indicators through the analysis of big database, and to further investigate the risk factors affecting HbA1c, so as to lay a foundation for the study of HbA1c-related diseases and disease management. Methods. People who have been examined in Health Promotion Center from July 2018 to June 2019 were selected as the research objects. All data were analyzed using the Windows R software (version 3.5.1). Detailed medical history inquiry, laboratory examination, and B-ultrasound examination were carried out for the selected sample population. We determined the sample population according to the inclusion and exclusion criteria and, then, further grouped and analyzed the data. T -test or Mann–Whitney U test was used for continuous variable comparison, and chi-square test was used to compare categorical variables. Logistic regression analysis was used to analyze the risk factors of HbA1c. Results. A total of 23,933 subjects were included in this study. The HbA1c level of men was significantly higher than that of women, the HbA1c level of the group with diabetes was higher than that of the group with no diabetes, and the HbA1c level of the group with fatty liver was higher than that of the group with no fatty liver. In the group with no diabetes, the HbA1c level increased with weight gain. Age, gender (male), fatty liver, waist circumference, systolic blood pressure (SBP), triglyceride (TG), blood urea nitrogen (BUN), free thyroxine (FT4), and red blood cell (RBC) were the risk factors for elevated HbA1c level, while high-density lipoprotein cholesterol (HDL-C), uric acid (UA), creatinine (Cr), free triiodothyronine (FT3), and hemoglobin were protective factors. Conclusion. Blood glucose, age, weight, gender, fatty liver, blood lipids, and UA are related to the increase of HbA1c level. HbA1c is related to many metabolic indexes and may be used as a marker for early detection of chronic diseases.

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“…Other variables in this study included age (years), gender (male/female), race (Mexican American/other Hispanic/non-Hispanic white/non-Hispanic black/other race), the ratio of household income to poverty, an education level (lower than high school/high school or general education development/high school and above), body mass index (BMI, kg/m 2 , calculated as body weight (kg) divided by the square of height (m)), energy and nutrition intake in the diet, blood pressure level (systolic blood pressure and diastolic blood pressure), renal function level (urinary albumin, urinary creatinine and urinary albumin creatinine ratio), blood lipid level (low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, and total cholesterol), smoking status (whether or not to smoke at least 100 cigarettes in a lifetime), and drinking status (once drinking 4/5 and more sitting time per day). The criteria for selecting covariates are based on previously published studies and variables [ 3 , 7 ]. The data used in this study can be found on the NHANES website.…”

Section: Methodsmentioning

confidence: 99%

“…Studies have shown that SUA was closely related to HbA1c and urinary microalbumin in diabetic patients. It was essential for diabetic patients to check HbA1c levels regularly and prevent renal damage [ 3 ]. A retrospective study in China found that SUA was positively correlated with hyperinsulinemia and insulin resistance in prediabetic patients [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020

Li,

Sun,

Huang

et al. 2024

International Journal of Endocrinology

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Background. Serum uric acid (SUA) and glycosylated hemoglobin (HbA1c) were closely related to the body’s metabolism. This study aimed to investigate the relationship between HbA1c and SUA in adults. Methods. This study selected 7293 participants aged ≥20 from 2011 to 2020 in the National Health and Nutrition Examination Survey (NHANES). The multivariate linear regression model was used to test the association between HbA1c and SUA. Subgroup analysis was performed according to age, gender, race, and body mass index (BMI). This study solved the relationship between HbA1c and SUA by fitting a smooth curve. Finally, the inflection point in the nonlinear relationship was calculated by the recursive algorithm, and the relationship between HbA1c and SUA on both sides of the inflection point was analyzed by the two-segment piecewise linear regression model. Results. All 7293 participants found a negative correlation between HbA1c and SUA by completely adjusting the model (β = −7.93 and 95% CI: −9.49–−6.37). In addition, when this study was stratified by gender, age, race, and BMI status, this negative correlation was still statistically significant. In the subgroup analysis, we found that the relationship between the two had different results due to gender differences. In men, HbA1c had a significant negative correlation with SUA. However, in women, the HbA1c value was positively correlated with SUA before 6.8%, and the HbA1c value was negatively correlated with SUA after 6.8%, which indicates that the relationship between HbA1c and SUA in women has changed in prediabetes and diabetes. Conclusion. This study shows that HbA1c is positively correlated with SUA in American adults before 7%. There is a negative correlation after the HbA1c value of 7%.

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Association between serum uric acid, urinary albumin excretion, and glycated hemoglobin in Type 2 diabetic patient

Cited by 9 publications

References 29 publications

Correlation between Serum Uric Acid Level and Microalbuminuria in Type-2 Diabetic Nephropathy

Correlation between Serum Uric Acid Level and Microalbuminuria in Type-2 Diabetic Nephropathy

Role and Risk Factors of Glycosylated Hemoglobin Levels in Early Disease Screening

Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020

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