Literature DB >> 27133324

Severity of coronary artery disease in type 2 diabetes mellitus: Does the timing matter?

Mukund P Srinivasan1, Padmanabh K Kamath2, Narayan M Bhat3, Narasimha D Pai3, Rajesh U Bhat4, Tejas D Shah5, Anish Singhal6, Chakrapani Mahabala7.   

Abstract

AIM: The aim of our study was to compare the angiographic changes in 53 nondiabetic patients, 54 type 2 diabetic patients of less than 5 years of duration, 41 patients with 5-10 years of diabetes, and 27 with more than 10 years of diabetic duration.
METHODS: In this cross-sectional study, 175 patients, who underwent coronary angiogram for the evaluation of the coronary artery disease (CAD), were recruited. Based on the angiographic findings, syntax score, vessel score, and coronary collaterals grading were analyzed. The biochemical analysis was done by using the auto analyzer.
RESULTS: A significant increase in the mean syntax score (p=0.019), vessel score (p=0.007), and coronary collateral grade (p=0.008) was observed in the patients with 5-10 years of diabetes when compared to those with less than 5 years of diabetic duration. There was no significant difference in the mean syntax score (p=0.979), vessel score (p=0.299), and collateral grade (p=0.842) between the patients with 5-10 years and more than 10 years of diabetes. The difference in the mean syntax score (p=0.791), vessel score (p=0.098), and collateral grade (p=0.661) between the nondiabetic and the patients with less than 5 years of diabetes was not significant.
CONCLUSION: A significant structural change in the coronary arteries was found among the patients with 5-10 years of diabetes.
Copyright © 2015 Cardiological Society of India. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coronary artery disease; Syntax score; Type 2 diabetes mellitus

Mesh:

Year:  2016        PMID: 27133324      PMCID: PMC4867948          DOI: 10.1016/j.ihj.2015.08.004

Source DB:  PubMed          Journal:  Indian Heart J        ISSN: 0019-4832


  20 in total

1.  Effect of diabetes mellitus on formation of coronary collateral vessels.

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2.  EPIDEMIOLOGICAL STUDIES OF CARDIOVASCULAR DISEASE IN A TOTAL COMMUNITY--TECUMSEH, MICHIGAN.

Authors:  F H EPSTEIN; L D OSTRANDER; B C JOHNSON; M W PAYNE; N S HAYNER; J B KELLER; T FRANCIS
Journal:  Ann Intern Med       Date:  1965-06       Impact factor: 25.391

3.  The vascular complications of diabetes mellitus; a clinical study.

Authors:  J W BRYFOGLE; R F BRADLEY
Journal:  Diabetes       Date:  1957 Mar-Apr       Impact factor: 9.461

4.  Association of multiple risk factors and insulin resistance with increased prevalence of asymptomatic coronary artery disease by an electron-beam computed tomographic study.

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Journal:  Arterioscler Thromb Vasc Biol       Date:  2001-12       Impact factor: 8.311

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6.  Coronary atherosclerosis in Type II diabetes: angiographic findings and clinical outcome.

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Journal:  Diabetologia       Date:  2000-05       Impact factor: 10.122

7.  Rates of complications and mortality in older patients with diabetes mellitus: the diabetes and aging study.

Authors:  Elbert S Huang; Neda Laiteerapong; Jennifer Y Liu; Priya M John; Howard H Moffet; Andrew J Karter
Journal:  JAMA Intern Med       Date:  2014-02-01       Impact factor: 21.873

8.  A new method of scoring coronary angiograms to reflect extent of coronary atherosclerosis and improve correlation with major risk factors.

Authors:  D R Sullivan; T H Marwick; S B Freedman
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9.  A new coronary artery disease grading system correlates with numerous routine parameters that were associated with atherosclerosis: a grading system for coronary artery disease severity.

Authors:  Michael Sponder; Monika Fritzer-Szekeres; Rodrig Marculescu; Brigitte Litschauer; Jeanette Strametz-Juranek
Journal:  Vasc Health Risk Manag       Date:  2014-11-07

10.  Diagnosis and classification of diabetes mellitus.

Authors: 
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

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  4 in total

1.  Predictors of abnormality in thallium myocardial perfusion scans for type 2 diabetes.

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3.  Comparison between Machine Learning and Multiple Linear Regression to Identify Abnormal Thallium Myocardial Perfusion Scan in Chinese Type 2 Diabetes.

Authors:  Jiunn-Diann Lin; Dee Pei; Fang-Yu Chen; Chung-Ze Wu; Chieh-Hua Lu; Li-Ying Huang; Chun-Heng Kuo; Shi-Wen Kuo; Yen-Lin Chen
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4.  Correlation between global longitudinal strain and SYNTAX score in coronary artery disease evaluation.

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  4 in total

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