Literature DB >> 18811748

Retinal microvascular signs: a key to understanding the underlying pathophysiology of different stroke subtypes?

Richard I Lindley1.   

Abstract

BACKGROUND: The heterogeneity of the pathology of stroke has been a major difficulty in assessing new treatments for acute stroke, and contributes to the complexity of stroke medicine. Some underlying mechanisms are poorly understood, such as small vessel (lacunar) disease. New technology such as advanced brain imaging has transformed our knowledge of large vessel disease and we suggest that other new technology such as detailed analysis of retinal vessels may provide new insights into the pathology of small vessel (lacunar) stroke disease. We hypothesise that retinal microvascular signs differ by pathological stroke subtype, and we plan to test this hypothesis in over 1000 acute stroke patients.
SUMMARY: Eligible patients undergo a standardised neurological assessment followed by digital retinal photography. At a consensus meeting, an anatomical and aetiological classification is determined. Retinal photographs will be assessed qualitatively (e.g. retinal emboli, arteriovenous nicking) and quantitatively (arteriolar/venule ratio). Six-month vascular event rates together with disability and vital status are collected.
CONCLUSION: Retinal vessel appearances may provide a 'window' to the brain and help determine the important underlying pathophysiological mechanisms of small vessel disease stroke.

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Year:  2008        PMID: 18811748     DOI: 10.1111/j.1747-4949.2008.00215.x

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  4 in total

Review 1.  Prediction of incident stroke events based on retinal vessel caliber: a systematic review and individual-participant meta-analysis.

Authors:  Kevin McGeechan; Gerald Liew; Petra Macaskill; Les Irwig; Ronald Klein; Barbara E K Klein; Jie Jin Wang; Paul Mitchell; Johannes R Vingerling; Paulus T V M de Jong; Jacqueline C M Witteman; Monique M B Breteler; Jonathan Shaw; Paul Zimmet; Tien Y Wong
Journal:  Am J Epidemiol       Date:  2009-11-01       Impact factor: 4.897

2.  Quantitative measurements of enlarged perivascular spaces in the brain are associated with retinal microvascular parameters in older community-dwelling subjects.

Authors:  Lucia Ballerini; Sarah McGrory; Maria Del C Valdés Hernández; Ruggiero Lovreglio; Enrico Pellegrini; Tom MacGillivray; Susana Muñoz Maniega; Ross Henderson; Adele Taylor; Mark E Bastin; Fergus Doubal; Emanuele Trucco; Ian J Deary; Joanna Wardlaw
Journal:  Cereb Circ Cogn Behav       Date:  2020

3.  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

4.  Heritability of the retinal microcirculation in Flemish families.

Authors:  Yan-Ping Liu; Tatiana Kuznetsova; Yu Jin; Lutgarde Thijs; Kei Asayama; Yu-Mei Gu; Murielle Bochud; Peter Verhamme; Harry A J Struijker-Boudier; Jan A Staessen
Journal:  Am J Hypertens       Date:  2013-01-07       Impact factor: 2.689

  4 in total

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