Literature DB >> 27499940

Severity of coronary artery disease and retinal microvascular signs in patients with diagnosed versus undiagnosed diabetes: cross-sectional study.

Kevin Phan1, Paul Mitchell1, Gerald Liew1, Adam J Plant1, Sarah B Wang1, Joshua Xu1, Joseph Chiha2, Aravinda Thiagalingam2, George Burlutsky1, Bamini Gopinath1.   

Abstract

BACKGROUND: There is increasing evidence that a considerable proportion of patients with diabetes remain undiagnosed and untreated, however, it is unclear whether this is associated with more severe coronary artery disease (CAD) and microvasculature changes compared with diagnosed patients. We assessed CAD extent and severity, along with changes to the retinal microvascular structure in participants with undiagnosed versus diagnosed type 2 diabetes.
METHODS: Participants of the Australian Heart Eye Study were stratified into participants with previously diagnosed diabetes (n=489), undiagnosed diabetes (n=76) and no diabetes (n=1,112). Retinal vessel caliber was measured from digital retinal images. Extent and severity of CAD was assessed using Extent and Gensini scores from angiography findings, respectively.
RESULTS: Participants with undiagnosed and diagnosed diabetes versus those with no diabetes (reference group) had increased odds of being in the highest quartile of Gensini scores, multivariate adjusted odds ratios (OR) =7.02 [95% confidence interval (CI), 2.04-24.1] and OR =2.76 (95% CI, 1.67-4.55), respectively. Participants with undiagnosed and diagnosed diabetes versus those with no diabetes also had increased odds of being in the highest quartile of Extent scores, multivariate adjusted OR =7.63 (95% CI, 2.15-27.10) and OR =3.72 (95% CI, 2.22-6.27), respectively. No significant differences were observed in retinal vessel caliber between participants with undiagnosed versus diagnosed diabetes.
CONCLUSIONS: The present study demonstrated that participants with undiagnosed diabetes compared to those with previously diagnosed diabetes, had a stronger likelihood of having more severe and extensive CAD. However, retinal microvascular signs did not differ by diabetes status.

Entities:  

Keywords:  Coronary artery disease (CAD); diabetes; microvascular; retinal

Year:  2016        PMID: 27499940      PMCID: PMC4958785          DOI: 10.21037/jtd.2016.05.61

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  28 in total

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

Authors:  Wolfgang Rathmann; Guido Giani
Journal:  Diabetes Care       Date:  2004-10       Impact factor: 19.112

2.  ACCF/AHA 2011 key data elements and definitions of a base cardiovascular vocabulary for electronic health records: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Clinical Data Standards.

Authors:  William S Weintraub; Ronald P Karlsberg; James E Tcheng; Jeffrey R Boris; Alfred E Buxton; James T Dove; Gregg C Fonarow; Lee R Goldberg; Paul Heidenreich; Robert C Hendel; Alice K Jacobs; William Lewis; Michael J Mirro; David M Shahian
Journal:  J Am Coll Cardiol       Date:  2011-06-07       Impact factor: 24.094

3.  Relationship between macular and retinal diseases with prevalent atrial fibrillation - an analysis of the Australian Heart Eye Study.

Authors:  Kevin Phan; Paul Mitchell; Gerald Liew; Sarah B Wang; Adam J Plant; Aravinda Thiagalingam; George Burlutsky; Bamini Gopinath
Journal:  Int J Cardiol       Date:  2014-10-22       Impact factor: 4.164

4.  Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The Third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  M I Harris; K M Flegal; C C Cowie; M S Eberhardt; D E Goldstein; R R Little; H M Wiedmeyer; D D Byrd-Holt
Journal:  Diabetes Care       Date:  1998-04       Impact factor: 19.112

5.  Morbidity and mortality in diabetics in the Framingham population. Sixteen year follow-up study.

Authors:  M J Garcia; P M McNamara; T Gordon; W B Kannel
Journal:  Diabetes       Date:  1974-02       Impact factor: 9.461

6.  Prediabetes, diagnosed and undiagnosed diabetes, their risk factors and association with knowledge of diabetes in rural Bangladesh: The Bangladesh Population-based Diabetes and Eye Study.

Authors:  Fakir M Amirul Islam; Rahul Chakrabarti; M Tauhidul Islam; Mohammad Wahab; Ecosse Lamoureux; Robert P Finger; Jonathan E Shaw
Journal:  J Diabetes       Date:  2015-05-06       Impact factor: 4.006

7.  Undiagnosed NIDDM: clinical and public health issues.

Authors:  M I Harris
Journal:  Diabetes Care       Date:  1993-04       Impact factor: 19.112

8.  Undiagnosed diabetes mellitus in rural communities in Sudan: prevalence and risk factors.

Authors:  S K M Noor; S O E Bushara; A A Sulaiman; W M Y Elmadhoun; M H Ahmed
Journal:  East Mediterr Health J       Date:  2015-05-19       Impact factor: 1.628

9.  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
Journal:  Am Heart J       Date:  1990-06       Impact factor: 4.749

10.  Estimating the population prevalence of diagnosed and undiagnosed diabetes.

Authors:  Aaron Leong; Kaberi Dasgupta; Jean-Louis Chiasson; Elham Rahme
Journal:  Diabetes Care       Date:  2013-05-08       Impact factor: 19.112

View more
  3 in total

1.  Burden of Undiagnosed Type 2 Diabetes in Diabetic Kidney Disease: A Japanese Retrospective Cohort Study.

Authors:  Hayato Tanabe; Haruka Saito; Noritaka Machii; Akihiro Kudo; Kenichi Tanaka; Koichi Asahi; Junichiro James Kazama; Michio Shimabukuro
Journal:  J Clin Med       Date:  2020-06-28       Impact factor: 4.241

2.  Deep Learning-Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation.

Authors:  Eugene Yu-Chuan Kang; Yi-Ting Hsieh; Chien-Hung Li; Yi-Jin Huang; Chang-Fu Kuo; Je-Ho Kang; Kuan-Jen Chen; Chi-Chun Lai; Wei-Chi Wu; Yih-Shiou Hwang
Journal:  JMIR Med Inform       Date:  2020-11-26

3.  Retinal arteriolar tortuosity and fractal dimension are associated with long-term cardiovascular outcomes in people with type 2 diabetes.

Authors:  Emmanuel Sandoval-Garcia; Stela McLachlan; Anna H Price; Thomas J MacGillivray; Mark W J Strachan; James F Wilson; Jackie F Price
Journal:  Diabetologia       Date:  2021-06-23       Impact factor: 10.122

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.