BACKGROUND AND PURPOSE: Microvascular disease has been implicated in the pathogenesis of stroke. The retina provides a window to assess microcirculation noninvasively. We studied the association between quantitatively measured retinal microvascular characteristics and acute ischemic stroke. METHODS: We conducted a case-control study with acute ischemic stroke patients recruited from a tertiary hospital in Singapore and controls from the Singapore Epidemiology of Eye Disease program matched by 10-year age strata, sex, and race. Strokes were classified using modified Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria. Retinal vascular parameters were measured from retinal fundus photographs using a computer program. Logistic regression models for stroke were constructed adjusting for age, sex, race, and additionally for smoking, hypertension, diabetes mellitus, and hypercholesterolemia. RESULTS: We included 557 ischemic stroke cases (261 lacunar, 185 large artery, and 54 cardioembolic stroke) and 557 controls. After adjusting for vascular risk factors, decreased arteriolar fractal dimension (odds ratio [OR] per standard deviation [SD] decrease, 2.28; 95% confidence interval [CI], 1.80-2.87) and venular fractal dimension (OR per SD decrease, 1.80; 95% CI, 1.46-2.23), increased arteriolar tortuosity (OR per SD increase, 1.56; 95% CI, 1.25-1.95), and venular tortuosity (OR per SD increase, 1.49; 95% CI, 1.27-1.76), narrower arteriolar caliber (OR per SD decrease, 2.79; 95% CI, 2.21-3.53), and wider venular caliber (OR per SD increase, 1.57; 95% CI, 1.27-1.95) were associated with stroke. Stratification by stroke subtypes and further adjustment for retinopathy signs revealed similar results. CONCLUSIONS: Patients with ischemic stroke have a sparser and more tortuous microvascular network in the retina. These findings provide insight into the structure and pattern of microcirculation changes in stroke.
BACKGROUND AND PURPOSE:Microvascular disease has been implicated in the pathogenesis of stroke. The retina provides a window to assess microcirculation noninvasively. We studied the association between quantitatively measured retinal microvascular characteristics and acute ischemic stroke. METHODS: We conducted a case-control study with acute ischemic strokepatients recruited from a tertiary hospital in Singapore and controls from the Singapore Epidemiology of Eye Disease program matched by 10-year age strata, sex, and race. Strokes were classified using modified Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria. Retinal vascular parameters were measured from retinal fundus photographs using a computer program. Logistic regression models for stroke were constructed adjusting for age, sex, race, and additionally for smoking, hypertension, diabetes mellitus, and hypercholesterolemia. RESULTS: We included 557 ischemic stroke cases (261 lacunar, 185 large artery, and 54 cardioembolic stroke) and 557 controls. After adjusting for vascular risk factors, decreased arteriolar fractal dimension (odds ratio [OR] per standard deviation [SD] decrease, 2.28; 95% confidence interval [CI], 1.80-2.87) and venular fractal dimension (OR per SD decrease, 1.80; 95% CI, 1.46-2.23), increased arteriolar tortuosity (OR per SD increase, 1.56; 95% CI, 1.25-1.95), and venular tortuosity (OR per SD increase, 1.49; 95% CI, 1.27-1.76), narrower arteriolar caliber (OR per SD decrease, 2.79; 95% CI, 2.21-3.53), and wider venular caliber (OR per SD increase, 1.57; 95% CI, 1.27-1.95) were associated with stroke. Stratification by stroke subtypes and further adjustment for retinopathy signs revealed similar results. CONCLUSIONS:Patients with ischemic stroke have a sparser and more tortuous microvascular network in the retina. These findings provide insight into the structure and pattern of microcirculation changes in stroke.
Authors: Hong Jiang; Giovana Rosa Gameiro; Yi Liu; Ying Lin; Jeffrey Hernandez; Yuqing Deng; Giovanni Gregori; Silvia Delgado; Jianhua Wang Journal: Am J Ophthalmol Date: 2020-01-08 Impact factor: 5.258
Authors: Jing Xie; M Kamran Ikram; Mary Frances Cotch; Barbara Klein; Rohit Varma; Jonathan E Shaw; Ronald Klein; Paul Mitchell; Ecosse L Lamoureux; Tien Yin Wong Journal: JAMA Ophthalmol Date: 2017-06-01 Impact factor: 7.389
Authors: Harald Hampel; Nicola Toschi; Claudio Babiloni; Filippo Baldacci; Keith L Black; Arun L W Bokde; René S Bun; Francesco Cacciola; Enrica Cavedo; Patrizia A Chiesa; Olivier Colliot; Cristina-Maria Coman; Bruno Dubois; Andrea Duggento; Stanley Durrleman; Maria-Teresa Ferretti; Nathalie George; Remy Genthon; Marie-Odile Habert; Karl Herholz; Yosef Koronyo; Maya Koronyo-Hamaoui; Foudil Lamari; Todd Langevin; Stéphane Lehéricy; Jean Lorenceau; Christian Neri; Robert Nisticò; Francis Nyasse-Messene; Craig Ritchie; Simone Rossi; Emiliano Santarnecchi; Olaf Sporns; Steven R Verdooner; Andrea Vergallo; Nicolas Villain; Erfan Younesi; Francesco Garaci; Simone Lista Journal: J Alzheimers Dis Date: 2018 Impact factor: 4.472
Authors: Ali Kord Valeshabad; Justin Wanek; Faisal Mukarram; Ruth Zelkha; Fernando D Testai; Mahnaz Shahidi Journal: Microvasc Res Date: 2015-04-24 Impact factor: 3.514
Authors: M L Rasmussen; R Broe; U Frydkjaer-Olsen; B S Olsen; H B Mortensen; T Peto; J Grauslund Journal: Graefes Arch Clin Exp Ophthalmol Date: 2016-08-12 Impact factor: 3.117