Literature DB >> 24551649

Quantitative Micro-albuminuria Assessment from 'Random Voided Urinary Albumin: Creatinine Ratio' Versus '24 hours Urinary Albumin Concentration' for Screening of Diabetic Nephropathy.

Monika Pathania1, Vyas Kumar Rathaur2, Neeraj Yadav3, Aparna Jayara4, Aditi Chaturvedi5.   

Abstract

AIMS: This study aims at assessing the predictive value of random urine A:C ratio as a screening method for Micro-albuminuria assessment in DM patients as compared to 24 hours urine albumin. SETTINGS AND
DESIGN: A cross sectional observational study was conducted at a tertiary care centre. One hundred ninty three patients diagnosed with DM were enrolled in the study but 14 participants didn't turn up with 24 hours urine sample. Thus, 179 people actually participated in the study.
MATERIAL AND METHODS: All DM patients who attended Out Patient Departments (OPDs) and In Patient Departments (IPDs) of Medicine, Surgery and Orthopaedics, were enrolled. Proper history about development and duration of DM was taken from the patients. Examination in the form of height and weight measurement to know Body Mass Index (BMI), the Waist: Hip Ratio (W:H ratio) calculated from waist and hip circumference and blood pressure measurement was done. Fasting blood sugar was measured in the study group. [Urine analysis was done for urinary albumin and urinary creatinine]. Two urine samples were collected from each participant; one, 24 hours sample and the other random urine sample. 24 hours urine samples were used to measure urinary albumin concentration while urinary albumin to creatinine ratio was measured from random urine sample. STATISTICAL ANALYSIS USED: SPSS 17.
RESULTS: Twenty four hours RUA:C ratio has very good sensitivity and specificity of Sensitivity and specificity of 84.9% and 95.8% respectively,which makes it a better alternative to 24 hours UAC. Negative and positive predictive values of RUA:C ratio method are 0.93 and 0.090 respectively with false negative and false positive rates, 15.1% and 4.2 % respectively.
CONCLUSION: Twenty four hours UAC is considered gold standard for screening of Micro-albuminuria but is cumbersome to collect 24 hours urine sample especially in OPD setup and in female patients. This leads to loss of compliance thereby preventing early diagnosis of diabetic nephropathy. This problem is more impracticable in hilly regions of India. By using random urine sample for screening of Micro-albuminuria in the form of RUA: C in random urine sample that correlates well with 24 hours UAC in 24 hours urine sample,is easier and more practical in Indian scenario especially in diabetics residing in hills.

Entities:  

Keywords:  Creatinine; Diabetes mellitus; Diabetic nephropathy; Macro albuminuria; Proteinuria; Urine sample

Year:  2013        PMID: 24551649      PMCID: PMC3919350          DOI: 10.7860/JCDR/2013/6589.3768

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  14 in total

1.  Type 2 diabetes and diabetic nephropathy in India--magnitude of the problem.

Authors:  V Viswanathan
Journal:  Nephrol Dial Transplant       Date:  1999-12       Impact factor: 5.992

2.  Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study.

Authors:  I M Stratton; A I Adler; H A Neil; D R Matthews; S E Manley; C A Cull; D Hadden; R C Turner; R R Holman
Journal:  BMJ       Date:  2000-08-12

3.  Prevalence of diabetic nephropathy in non-insulin dependent diabetics.

Authors:  L John; P S Rao; A S Kanagasabapathy
Journal:  Indian J Med Res       Date:  1991-02       Impact factor: 2.375

4.  Use of protein: creatinine ratio in a random spot urine sample for predicting significant proteinuria in diabetes mellitus.

Authors:  B K Yadav; S Adhikari; P Gyawali; R Shrestha; B Poudel; M Khanal
Journal:  Nepal Med Coll J       Date:  2010-06

5.  Prevalence of microalbuminuria in type 2 diabetes mellitus at a diabetes centre in southern India.

Authors:  A Varghese; R Deepa; M Rema; V Mohan
Journal:  Postgrad Med J       Date:  2001-06       Impact factor: 2.401

6.  Assessing proteinuria in chronic kidney disease: protein-creatinine ratio versus albumin-creatinine ratio.

Authors:  Shona Methven; Mark S MacGregor; Jamie P Traynor; Denis St J O'Reilly; Christopher J Deighan
Journal:  Nephrol Dial Transplant       Date:  2010-03-17       Impact factor: 5.992

7.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

8.  Epidemiology of type 2 diabetes: Indian scenario.

Authors:  V Mohan; S Sandeep; R Deepa; B Shah; C Varghese
Journal:  Indian J Med Res       Date:  2007-03       Impact factor: 2.375

Review 9.  Hyperglycemia and microvascular and macrovascular disease in diabetes.

Authors:  R Klein
Journal:  Diabetes Care       Date:  1995-02       Impact factor: 19.112

10.  Diabetic nephropathy - Epidemiology in Asia and the current state of treatment.

Authors:  E Ritz; X Zeng
Journal:  Indian J Nephrol       Date:  2011-04
View more
  3 in total

1.  Relationship between Hyponatremia and Peripheral Neuropathy in Patients with Diabetes.

Authors:  Yongze Zhang; Chuanchuan Li; Lingning Huang; Ximei Shen; Fengying Zhao; Cailin Wu; Sunjie Yan
Journal:  J Diabetes Res       Date:  2021-08-19       Impact factor: 4.011

Review 2.  Chronic kidney disease in low-income to middle-income countries: the case for increased screening.

Authors:  Cindy George; Amelie Mogueo; Ikechi Okpechi; Justin B Echouffo-Tcheugui; Andre Pascal Kengne
Journal:  BMJ Glob Health       Date:  2017-05-29

Review 3.  MicroRNAs in the Progress of Diabetic Nephropathy: A Systematic Review and Meta-Analysis.

Authors:  Li-Ping Wang; Yu-Zhen Gao; Bin Song; Guo Yu; Hui Chen; Zhen-Wen Zhang; Cai-Feng Yan; Yun-Long Pan; Xiao-Yan Yu
Journal:  Evid Based Complement Alternat Med       Date:  2019-03-07       Impact factor: 2.629

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.