Literature DB >> 20167920

Retinal microvascular signs may provide clues to the underlying vasculopathy in patients with deep intracerebral hemorrhage.

Michelle L Baker1, Peter J Hand, Gerald Liew, Tien Y Wong, Elena Rochtchina, Paul Mitchell, Richard I Lindley, Graeme J Hankey, Jie Jin Wang.   

Abstract

BACKGROUND AND
PURPOSE: Deep intracerebral hemorrhage (ICH) and lacunar infarcts are the result of small vessel disease, whereas nonlacunar infarcts are often caused by large artery atherosclerosis or cardiac embolism. We hypothesized that patients with deep ICH and lacunar infarcts have similar retinal microvascular signs and that these differ from those seen in patients with nonlacunar infarcts.
METHODS: We studied patients with acute stroke and classified their stroke as deep ICH, lacunar infarction, or nonlacunar infarction. In a masked fashion we assessed retinal photographs for quantitative and qualitative evidence of microvascular damage.
RESULTS: We recruited 630 patients (51 had deep ICH, 93 had lacunar infarction, and 486 had nonlacunar infarction). Patients with deep ICH were more likely than those with nonlacunar infarcts to have severe focal narrowing of the retinal arterioles (OR, 3.7), severe arteriovenous nicking (OR, 2.6), and quantitatively narrower retinal arterioles and wider retinal venules. Retinal microvascular signs were similar in patients with deep ICH and lacunar infarction.
CONCLUSIONS: Patients with deep ICH and lacunar infarcts are more likely than patients with nonlacunar infarcts to have signs indicating hypertensive damage in the retinal arteriolar wall.

Entities:  

Mesh:

Year:  2010        PMID: 20167920     DOI: 10.1161/STROKEAHA.109.569764

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  10 in total

Review 1.  Retinal Vascular Changes are a Marker for Cerebral Vascular Diseases.

Authors:  Heather E Moss
Journal:  Curr Neurol Neurosci Rep       Date:  2015-07       Impact factor: 5.081

Review 2.  Retinal microvascular network alterations: potential biomarkers of cerebrovascular and neural diseases.

Authors:  Delia Cabrera DeBuc; Gabor Mark Somfai; Akos Koller
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-12-06       Impact factor: 4.733

3.  Blood-ocular barrier disruption in patients with acute stroke.

Authors:  Emi Hitomi; Alexis N Simpkins; Marie Luby; Lawrence L Latour; R John Leigh; Richard Leigh
Journal:  Neurology       Date:  2018-02-07       Impact factor: 9.910

Review 4.  Hypertensive eye disease.

Authors:  Carol Y Cheung; Valérie Biousse; Pearse A Keane; Ernesto L Schiffrin; Tien Y Wong
Journal:  Nat Rev Dis Primers       Date:  2022-03-10       Impact factor: 52.329

Review 5.  International epidemiology of intracerebral hemorrhage.

Authors:  M Arfan Ikram; Renske G Wieberdink; Peter J Koudstaal
Journal:  Curr Atheroscler Rep       Date:  2012-08       Impact factor: 5.113

6.  Morphometric analysis of small arteries in the human retina using adaptive optics imaging: relationship with blood pressure and focal vascular changes.

Authors:  Edouard Koch; David Rosenbaum; Aurélie Brolly; José-Alain Sahel; Philippe Chaumet-Riffaud; Xavier Girerd; Florence Rossant; Michel Paques
Journal:  J Hypertens       Date:  2014-04       Impact factor: 4.844

7.  Automated retinal imaging and trend analysis - a tool for health monitoring.

Authors:  Karin Roesch; Tristan Swedish; Ramesh Raskar
Journal:  Clin Ophthalmol       Date:  2017-05-23

8.  Retinal vascular abnormalities and their associations with cardiovascular and cerebrovascular diseases: a Study in rural southwestern Harbin, China.

Authors:  Junwei Wang; Fei Leng; Zhijian Li; Xianling Tang; Hua Qian; Xiaoguang Li; Yi Zhang; Xuedong Chen; Haitao Du; Ping Liu
Journal:  BMC Ophthalmol       Date:  2020-04-06       Impact factor: 2.209

Review 9.  A Review on the Extraction of Quantitative Retinal Microvascular Image Feature.

Authors:  Kuryati Kipli; Mohammed Enamul Hoque; Lik Thai Lim; Muhammad Hamdi Mahmood; Siti Kudnie Sahari; Rohana Sapawi; Nordiana Rajaee; Annie Joseph
Journal:  Comput Math Methods Med       Date:  2018-07-02       Impact factor: 2.238

10.  Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis.

Authors:  Yimin Qu; Yuanyuan Zhuo; Jack Lee; Xingxian Huang; Zhuoxin Yang; Haibo Yu; Jinwen Zhang; Weiqu Yuan; Jiaman Wu; David Owens; Benny Zee
Journal:  Front Neurol       Date:  2022-08-22       Impact factor: 4.086

  10 in total

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