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Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke.

Publication ,  Journal Article
Witt, N; Wong, TY; Hughes, AD; Chaturvedi, N; Klein, BE; Evans, R; McNamara, M; Thom, SAM; Klein, R
Published in: Hypertension
May 2006

Abnormalities of the retinal microcirculation are found in hypertension and diabetes and predict cardiovascular mortality. This study examined the relationship between abnormalities of the retinal microvasculature and death from ischemic heart disease (IHD) and stroke. A population-based, nested case-control study was undertaken within the Beaver Dam Eye Study. Subjects (43 to 74 years) who died of IHD (n=126) or stroke (n=28) over a 10-year period were age and gender matched with controls subjects (n=528; case:control matching, approximately 1:4). Retinal photographs of cases and controls were digitized and analyzed using a computer-based technique. Increased risk of IHD death was associated with a suboptimal relationship of arteriolar diameters at bifurcation (P=0.02 unadjusted) and decreased retinal arteriolar tortuosity (P=0.011 unadjusted). These associations remained significant after adjustment for age, sex, past history of cardiovascular disease, and other known cardiovascular risk factors. Increased arteriolar length:diameter ratio, a measure of generalized arteriolar narrowing, was associated with increased stroke mortality (P=0.02 unadjusted). This association was independent of age and gender but was attenuated by adjustment for systolic blood pressure (P=0.15). Other quantitative measures of the retinal microvascular network (eg, venular tortuosity and arteriolar and venular bifurcation angle) were not associated with death from IHD or stroke. Retinal microvascular abnormalities are predictive of death from IHD and stroke. A detailed assessment of the retinal microvascular network from digitized photographs may be useful in the noninvasive assessment of target organ damage and cardiovascular risk.

Duke Scholars

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Published In

Hypertension

DOI

EISSN

1524-4563

Publication Date

May 2006

Volume

47

Issue

5

Start / End Page

975 / 981

Location

United States

Related Subject Headings

  • Stroke
  • Risk Assessment
  • Retinal Vessels
  • Predictive Value of Tests
  • Myocardial Ischemia
  • Middle Aged
  • Male
  • Image Processing, Computer-Assisted
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Witt, N., Wong, T. Y., Hughes, A. D., Chaturvedi, N., Klein, B. E., Evans, R., … Klein, R. (2006). Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke. Hypertension, 47(5), 975–981. https://doi.org/10.1161/01.HYP.0000216717.72048.6c
Witt, Nicholas, Tien Y. Wong, Alun D. Hughes, Nish Chaturvedi, Barbara E. Klein, Richard Evans, Mary McNamara, Simon A McG Thom, and Ronald Klein. “Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke.Hypertension 47, no. 5 (May 2006): 975–81. https://doi.org/10.1161/01.HYP.0000216717.72048.6c.
Witt N, Wong TY, Hughes AD, Chaturvedi N, Klein BE, Evans R, et al. Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke. Hypertension. 2006 May;47(5):975–81.
Witt, Nicholas, et al. “Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke.Hypertension, vol. 47, no. 5, May 2006, pp. 975–81. Pubmed, doi:10.1161/01.HYP.0000216717.72048.6c.
Witt N, Wong TY, Hughes AD, Chaturvedi N, Klein BE, Evans R, McNamara M, Thom SAM, Klein R. Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke. Hypertension. 2006 May;47(5):975–981.

Published In

Hypertension

DOI

EISSN

1524-4563

Publication Date

May 2006

Volume

47

Issue

5

Start / End Page

975 / 981

Location

United States

Related Subject Headings

  • Stroke
  • Risk Assessment
  • Retinal Vessels
  • Predictive Value of Tests
  • Myocardial Ischemia
  • Middle Aged
  • Male
  • Image Processing, Computer-Assisted
  • Humans
  • Female