Prediction of severity of coronary artery disease in cad patients using urinary albumin to creatinine ratio (uacr)

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International Journal of Development Research

Volume: 
07
Article ID: 
8554
5 pages

Prediction of severity of coronary artery disease in cad patients using urinary albumin to creatinine ratio (uacr)

Dr. Sunil Kumar Mittal and Dr. Anoop jain

Received 25th February, 2017; Received in revised form 29th March, 2017; Accepted 08th April, 2017; Published online 20th May, 2017

Copyright©2017, Dr. Sunil Kumar Mittal and Dr. Anoop Jain. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract: 

Introduction: Microalbuminuria (MA) is a well-known risk factor for coronary artery disease (CAD). It is associated with higher cardiovascular mortality, especially in diabetics. However, there are few data linking angiographic severity of CAD to MA. Aims and Objective: The aim of the present study was to assess the albumin to creatinine ratio as a new predictor for CAD and to correlate with its severity apart from other traditional CAD risk factors. Methods: Our study included 200 patients with documented CAD by coronary angiography in Department of cardiology SMS medical college and associated group of hospital. The severity of CAD was scored by using Syntax score (SS). Urine albumin excretion was measured for all patients in morning spot urine samples by immune precipitation technique. We correlate between MA and severity of CAD. Results: In a total of 200 patients (152 males and 48 females), (mean age 54.56± 12.34yrs) MA was present in 73 patients only. Patients were divided into two groups; group I included those without MA and group II with MA. A direct relationship between MA and severity of atherosclerotic coronary lesions based on syntax score was noticed (P = 0.001).

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