Literature DB >> 24401229

Inverse correlation between coronary and retinal blood flows in patients with normal coronary arteries and slow coronary blood flow.

Yaron Arbel1, Amir Sternfeld2, Adiel Barak3, Zvia Burgansky-Eliash4, Amir Halkin2, Shlomo Berliner5, Itzhak Herz2, Gad Keren2, Ardon Rubinstein6, Shmuel Banai2, Ariel Finkelstein2.   

Abstract

BACKGROUND: The "Slow Coronary Flow" (SCF) phenomenon in the presence of angiographically normal coronaries is attributed to microvascular and endothelial dysfunction. The microcirculation can be non-invasively assessed by measuring retinal blood flow velocity. The aim of the present study was to evaluate the efficacy of the "Retinal Functional Imager" (RFI) device as a noninvasive method of diagnosing patients with slow coronary flow.
METHODS: Coronary blood flow velocity assessed by corrected TIMI Frame Count and retinal arterioles blood flow assessed by RFI were measured in 28 consecutive patients with normal coronary arteries. The patients were divided into 2 groups: a slow coronary flow (SCF) and a normal coronary flow (NCF) groups.
RESULTS: Inverse correlation was found between retinal and coronary blood flows so that higher retinal arterial flow velocity was observed in the SCF group (3.8 ± 1.1 mm/s vs. 2.9 ± 0.61 mm/s, respectively, p = 0.022). RFI provided 73% sensitivity and 77% specificity for diagnosing SCF using ROC analysis. Additionally, patients with SCF had higher values of serum LDL cholesterol (104.7 ± 18.93 mg/dl vs. 81.55 ± 14.62 mg/dl in NCF, p = 0.005), Glucose (96.9 ± 23.0 mg/dl vs. 83.55 ± 9.7 mg/dl in NCF, p = 0.024), and lower percentage of statin consumption (40.0% vs. 76.9% in NCF, p = 0.049).
CONCLUSIONS: Slow coronary blood flow can be non-invasively diagnosed with Retinal Functional Imager. Patients with normal coronary arteries and slow coronary blood flow have high retinal arteriolar blood flow. Early non-invasive diagnosis of SCF might help detect individuals who are at higher risk to develop coronary atherosclerosis, and to provide them with early preventive measures.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Coronary flow; Normal coronary arteries; Retinal blood flow; Slow coronary flow; TIMI frame count

Mesh:

Year:  2013        PMID: 24401229     DOI: 10.1016/j.atherosclerosis.2013.10.033

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  7 in total

1.  Impaired retinal microcirculation in multiple sclerosis.

Authors:  Hong Jiang; Silvia Delgado; Jia Tan; Che Liu; Kottil W Rammohan; Delia Cabrera DeBuc; Byron L Lam; William J Feuer; Jianhua Wang
Journal:  Mult Scler       Date:  2016-02-22       Impact factor: 6.312

2.  Assessment of potential vessel segmentation pitfalls in the analysis of blood flow velocity using the Retinal Function Imager.

Authors:  Gábor Márk Somfai; Jing Tian; Delia Cabrera DeBuc
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-15       Impact factor: 3.117

Review 3.  Microvascular Dysfunction as a Systemic Disease: A Review of the Evidence.

Authors:  Daniel S Feuer; Eileen M Handberg; Borna Mehrad; Janet Wei; C Noel Bairey Merz; Carl J Pepine; Ellen C Keeley
Journal:  Am J Med       Date:  2022-04-23       Impact factor: 5.928

Review 4.  The retinal function imager and clinical applications.

Authors:  Daniel Su; Sunir Garg
Journal:  Eye Vis (Lond)       Date:  2018-08-12

5.  Alprostadil vs. isosorbide dinitrate in ameliorating angina episodes in patients with coronary slow flow phenomenon: A randomized controlled trial.

Authors:  Weifeng Zhang; Jinjie Dai; Lan Shen; Yue Jiang; Xiaowen Zheng; Ke Xu; Xiaoxiao Yang; Xiaolei Wang; Ziyong Hao; Yu Zhao; Dong Wang; Lisheng Jiang; Xingbiao Qiu; Linghong Shen; Ben He
Journal:  Front Cardiovasc Med       Date:  2022-09-08

6.  Functional slit lamp biomicroscopy metrics correlate with cardiovascular risk.

Authors:  Veena C Karanam; Leonardo Tamariz; Hatim Batawi; Jianhua Wang; Anat Galor
Journal:  Ocul Surf       Date:  2018-09-22       Impact factor: 6.268

7.  Circulating miRNA-155 as a Potential Biomarker for Coronary Slow Flow.

Authors:  Qiang Su; Huafeng Yang; Lang Li
Journal:  Dis Markers       Date:  2018-06-25       Impact factor: 3.434

  7 in total

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