Advertisement!
Author Information Pack
Editorial Board
Submit article
Special Issue
Editor's selection process
Join as Reviewer/Editor
List of Reviewer
Indexing Information
Most popular articles
Purchase Single Articles
Archive
Free Online Access
Current Issue
Recommend this journal to your library
Advertiser
Accepted Articles
Search Articles
Email Alerts
FAQ
Contact Us
Indian Journal of Pathology: Research and Practice

Volume  5, Issue 1, Jan-Apr 2016, Pages 19-23
 

Original Article

Utility of Automated Urine Analysis in Patients with Diabetes Mellitus

Sreelekha B.V.*, Rajashekhar K.S.**, Bharath C.***

*Assistant Professor ***Professor and Head, Department of Pathology, VIMS, Ballari, Karnataka 583104. **Professor, Department of Pathology, JJM Medical College, Davangere, Karnataka. (Affiliated to JJM Medical college, Davangere and VIMS, Bellary)

Choose an option to locate / access this Article:
90 days Access
Check if you have access through your login credentials.        PDF      |
|

Open Access: View PDF

DOI: DOI : https://dx.doi.org/10.21088/ijprp.2278.148X.5116.3

Abstract

 Introduction: The prevalence of  Diabetes mellitus is growing rapidly worldwide and is reaching epidemic proportions. It is estimated that there are 285 million people with diabetes worldwide and this number is set to increase to 438 million by the year 2030. Methodology: 250 out patients of type 2 diabetes mellitus were selected at random. Based on levels of albuminuria the patients were categorized into normo albuminuria with <30 mg/gm of creatinine, microalbuminuria with 30-300mg/gm of creatinine, and macroalbuminuria with >300mg/gm of creatinine. Results: In the present study it was noted that among 250 patients studied, microalbuminuria was common in males, prevalence of microalbuminuria was 20%. Conclusion: Testing for microalbuminuria should be standardized in type 2 diabetes mellitus patients from time of first diagnosis of diabetes because early intervention helps in delaying the progression of diabetic nephropathy.

Keywords: Albuminuria; Body Mass Index; Dyslipidemia.

Corresponding Author : Sreelekha B.V.*