Microalbuminuria in Type 2 Diabetes and Hypertension

Basi, Seema; Fesler, Pierre; Mimran, A; Lewis, Julia B.

doi:10.2337/dc08-s249

Cited by 130 publications

(85 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An increased urinary albumin excretion (in the absence of other renal diseases) is found in diabetic nephropathy, the leading cause of kidney disease that affects approximately 40% of type 1 and type 2 diabetic patients, and for which hyperglycemia, increased blood pressure, and genetic predisposition are the main risk factors [16]. Albuminuria is a powerful predictor of renal and cardiovascular risk in patients with type 2 diabetes and hypertension [1]. Clearly, cell counts or protein levels in these disease states will significantly influence protein yield obtained from cells or biofluids.…”

Section: Discussionmentioning

confidence: 99%

Variation in protein levels obtained from human blood cells and biofluids for platelet, peripheral blood mononuclear cell, plasma, urine and saliva proteomics

et al. 2009

View full text Add to dashboard Cite

Blood cells and biofluid proteomics are emerging as a valuable tool to assess effects of interventions on health and disease. This study is aimed to assess the amount and variability of proteins from platelets, peripheral blood mononuclear cells (PBMC), plasma, urine and saliva from ten healthy volunteers for proteomics analysis, and whether protein yield is affected by prolonged fasting. Volunteers provided blood, saliva and morning urine samples once a week for 4 weeks after an overnight fast. Volunteers were fasted for a further 24 h after the fourth sampling before providing their final samples. Each 10 mL whole blood provided 400-1,500 lg protein from platelets, and 100-600 lg from PBMC. 30 lL plasma depleted of albumin and IgG provided 350-650 lg protein. A sample of morning urine provided 0.9-8.6 mg protein/dL, and a sample of saliva provided 70-950 lg protein/mL. None of these yields were influenced by the degree of fasting (overnight or 36 h). In conclusion, in contrast to the yields from plasma, platelets and PBMC, the protein yields of urine and saliva samples were highly variable within and between subjects. Certain disease conditions may cause higher or lower PBMC counts and thus protein yields, or increased urinary protein levels.

show abstract

Section: Discussionmentioning

confidence: 99%

Variation in protein levels obtained from human blood cells and biofluids for platelet, peripheral blood mononuclear cell, plasma, urine and saliva proteomics

et al. 2009

View full text Add to dashboard Cite

show abstract

“…(3) Microalbuminuria in diabetic patients has been recognised as not only a predictor of progression of diabetic nephropathy, but also a powerful independent risk factor for cardiovascular disease. (4) Annual screening of microalbuminuria is recommended for all diabetic patients. Many studies have confirmed that an angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB) can retard the progression of albumin excretion.…”

Section: Introductionmentioning

confidence: 99%

The prevalence of albuminuria among diabetic patients in a primary care setting in Singapore

Lee¹,

Tang²

2015

smedj

View full text Add to dashboard Cite

INTRODUCTIONMicroalbuminuria is an early sign of kidney damage. The prevalence of microalbuminuria in Singapore has been reported to be 36.0%-48.5%. However, the prevalence of microalbuminuria reported in these studies was determined with one urine sample using a qualitative urine test. The aim of this study was to determine the prevalence of micro-and macroalbuminuria using a more stringent criterion of two positive quantitative urine albumin-creatinine ratio (ACR) tests. METHODSWe conducted a cross-sectional study of patients with type 2 diabetes mellitus (T2DM) who were followed up at a primary care clinic in Singapore. Patients were diagnosed to have albuminuria if they had two positive ACR tests within a seven-month period. RESULTSA total of 786 patients with T2DM met the study's inclusion criteria. 55.7% were already on an angiotensin-converting enzyme inhibitor (ACEI) and/or angiotensin receptor blocker (ARB). The prevalence rates of micro-and macroalbuminuria were 14.2% and 5.7%, respectively. Patients with albuminuria were more likely to have hypertension (odds ratio [OR] 3.47, 95% confidence interval [CI] 1.55-7.80). Diabetics with poorer diabetic control (OR 1.88, 95% CI 1.26-2.79), and higher systolic (OR 1.69, 95% CI 1.14-2.49) and diastolic (OR 1.96, 95% CI, 1.20 to 3.22) blood pressures were more likely to have albuminuria. CONCLUSIONIn the present study, the prevalence of microalbuminuria is significantly lower than that previously reported in Singapore. The presence of hypertension, poor diabetic control and suboptimal blood pressure control are possible risk factors for albuminuria in patients with T2DM.

show abstract

“…Compared to 20 years ago, the incidence of diabetic complications without diabetic nephropathy has decreased; however, is still the main complication in diabetes [2]. Microalbuminuria is defined as levels of albumin ranging from 30 to 300 mg in a 24-hrs urine collection [3]. Microalbuminuria was the strongest predictor of cardiovascular events in a high-risk population with underlying atherosclerosis.…”

Section: Introductionmentioning

confidence: 97%

Correlation of Microalbuminuria With Age, Duration, Glycated Hemoglobin, Blood Sugar Levels, Blood Pressure and Renal Parameters of Type 2 Diabetes Patients

Geetha

Shanmugasundaram

2017

Asian J Pharm Clin Res

View full text Add to dashboard Cite

Objectives: Microalbuminuria is the strongest predictor of diabetic nephropathy, which is the main cause of morbidity and mortality. The aim of the study is to determine the prevalence of microalbuminuria in Type 2 diabetes patients and to evaluate the relation between the microalbuminuria and age, duration, glycated hemoglobin (HbA1c), blood sugar levels, blood pressure (BP), and renal parameters of Type 2 diabetes patients. Methods:The prospective study includes 115 patients with Type 2 diabetes, visiting in outpatient diabetes hospital, Chennai. The case reports of the patients diagnosed with blood sugar, HbA1c level BP and renal parameters of Type 2 diabetes patients were recorded and compared with microalbuminuria. Statistical analysis was carried out using student t-test and Pearson correlation. Results:The study revealed that the prevalence of microalbuminuria in this study was 27.82%. Incidence of microalbuminria increases with age, duration of diabetes, blood sugar levels, and hypertension. There is no association of body mass index and sex on the prevalence of microalbuminuria in Type 2 diabetes mellitus. Creatinine clearance has shown a weak negative correlation with microalbuminuria in our study. Conclusion:The present study showed that there is a weak positive correlation of microalbuminuria with blood sugar levels, duration and systolic BP. There is a weak negative correlation of creatinine shows that impairment in the kidney function.

show abstract

Microalbuminuria in Type 2 Diabetes and Hypertension

Cited by 130 publications

References 61 publications

Variation in protein levels obtained from human blood cells and biofluids for platelet, peripheral blood mononuclear cell, plasma, urine and saliva proteomics

Variation in protein levels obtained from human blood cells and biofluids for platelet, peripheral blood mononuclear cell, plasma, urine and saliva proteomics

The prevalence of albuminuria among diabetic patients in a primary care setting in Singapore

Correlation of Microalbuminuria With Age, Duration, Glycated Hemoglobin, Blood Sugar Levels, Blood Pressure and Renal Parameters of Type 2 Diabetes Patients

Contact Info

Product

Resources

About