Literature DB >> 28233623

Prediction Factors of Recurrent Stroke among Chinese Adults Using Retinal Vasculature Characteristics.

Yuanyuan Zhuo1, Haibo Yu1, Zhuoxin Yang2, Benny Zee3, Jack Lee4, Lei Kuang4.   

Abstract

OBJECTIVE: To identify the characteristics of retinal vessels that are associated with recurrent cerebral infarction and to establish predictive model for recurrent cerebral infarction in further study.
METHODS: Up to 196 patients with cerebral infarction were included in our study, including 137 patients with new onset cerebral infarction and 59 patients with recurrent cerebral infarction. Retinal vessel characteristics of all patients were analyzed and reported by an automated retinal image analysis system. Retinal and clinical characteristics were compared between recurrent and new onset subjects. Multivariate logistic regression was used to identify risk factors associated with recurrent ischemic stroke within the year after an initial stroke onset.
RESULTS: Every unit increase in the vessel caliber measures of central retinal artery and vein equivalent was found to give coronary heart diseases an additional 4.28 times (95% confidence interval 1.204-15.215) the risk of stroke recurrent whereas every increased unit of arterial and venous angles would be associated with 3.9 and 13.7 times increase in such risk among atrial fibrillation subjects. Measures such as bifurcation coefficient of arterioles showed opposite effects when interacted with different clinical factors. Negative integrations were found between venous asymmetry index and various factors such as atrial fibrillation (odds ratio .73, 95% confidence interval .61-.88), coronary heart diseases (odds ratio .79, 95% confidence interval .70-.89), and bifurcation coefficient of arterioles (odds ratio .38, 95% confidence interval .21-.72), indicating a decreased recurrent risk among these subjects when venous asymmetry level increases.
CONCLUSIONS: Retinal vessel characteristics interacted with each other as well as traditional clinical risk factors in affecting the risk of stroke recurrence.
Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cerebral infarction; recurrent infarction; retinal vessels; risk prediction

Mesh:

Year:  2017        PMID: 28233623     DOI: 10.1016/j.jstrokecerebrovasdis.2017.01.020

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  8 in total

1.  Assessment of image quality on color fundus retinal images using the automatic retinal image analysis.

Authors:  Chuying Shi; Jack Lee; Gechun Wang; Xinyan Dou; Fei Yuan; Benny Zee
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

2.  Estimation of stroke severity with National Institutes of Health Stroke Scale grading and retinal features: A cross-sectional study.

Authors:  Yuanyuan Zhuo; Yimin Qu; Jiaman Wu; Xingxian Huang; Weiqu Yuan; Jack Lee; Zhuoxin Yang; Benny Zee
Journal:  Medicine (Baltimore)       Date:  2021-08-06       Impact factor: 1.817

3.  Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders.

Authors:  Yimin Qu; Jack Jock-Wai Lee; Yuanyuan Zhuo; Shukai Liu; Rebecca L Thomas; David R Owens; Benny Chung-Ying Zee
Journal:  J Clin Med       Date:  2022-05-10       Impact factor: 4.964

4.  Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke.

Authors:  Adnan Khan; Patrick De Boever; Nele Gerrits; Naveed Akhtar; Maher Saqqur; Georgios Ponirakis; Hoda Gad; Ioannis N Petropoulos; Ashfaq Shuaib; James E Faber; Saadat Kamran; Rayaz A Malik
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

5.  Corneal Confocal Microscopy detects a Reduction in Corneal Endothelial Cells and Nerve Fibres in Patients with Acute Ischemic Stroke.

Authors:  Adnan Khan; Saadat Kamran; Naveed Akhtar; Georgios Ponirakis; Hamad Al-Muhannadi; Ioannis N Petropoulos; Shumoos Al-Fahdawi; Rami Qahwaji; Faheem Sartaj; Blessy Babu; Muhammad Faisal Wadiwala; Ashfaq Shuaib; Rayaz A Malik
Journal:  Sci Rep       Date:  2018-11-26       Impact factor: 4.379

6.  Traditional and Genetic Risk Score and Stroke Risk Prediction in Korea.

Authors:  Keum Ji Jung; Semi Hwang; Sunmi Lee; Hyeon Chang Kim; Sun Ha Jee
Journal:  Korean Circ J       Date:  2018-08       Impact factor: 3.243

7.  Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images.

Authors:  Benny Zee; Yanny Wong; Jack Lee; Yuhua Fan; Jinsheng Zeng; Bonnie Lam; Adrian Wong; Lin Shi; Allen Lee; Chloe Kwok; Maria Lai; Vincent Mok; Alexander Lau
Journal:  Brain Commun       Date:  2021-06-03

8.  Long-Term Effect of Left Atrial Appendage Occlusion in Treating Patients with Previous Ischemic Stroke on the Disease Recurrence.

Authors:  Jia Yu; Yufeng Liu; Peng Sun; Xing Guo; Haiyang Jiang; Wei Fang; Xin Jin
Journal:  Comput Math Methods Med       Date:  2021-10-13       Impact factor: 2.238

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.