Literature DB >> 28750414

Retinal Vessel Geometry and the Incidence and Progression of Diabetic Retinopathy.

Laurence S Lim1, Miao Li Chee2, Carol Y Cheung3, Tien Yin Wong1.   

Abstract

Purpose: To analyze the associations between retinal vessel geometry and the 1-year incidence and progression of diabetic retinopathy (DR) in a Chinese population.
Methods: This was a prospective cohort study of adult subjects with diabetes mellitus. Retinal vascular geometry was quantified from fundus photographs using a semiautomated computer-assisted program. Diabetic retinopathy was graded from retinal photographs at baseline and 1 year. Incident DR and 2-step change in DR were analyzed.
Results: In total, 249 subjects were included. Their mean age was 59.9 ± 8.9 years, 74% were male, and the mean glycated hemoglobin A1c (HbA1C) and duration of diabetes were 7.7 ± 1.4% and 14.3 ± 10.6 years, respectively. The distribution of DR severity at baseline was no DR in 35.7%, minimal nonproliferative diabetic retinopathy (NPDR) in 15.3%, mild NPDR in 14.6%, moderate NPDR in 23.1%, severe NPDR in 5.1%, and proliferative DR in 6.1% of eyes. In multivariate analyses adjusting for age, duration of diabetes, sex, smoking status, HbA1c, hypertension, and hyperlipidemia, subjects with higher venular fractal dimensions were more likely to have incident DR (odds ratio [OR] 0.38, [95% confidence interval (CI), 0.15-0.96], P = 0.032, per SD decrease). Lower venular tortuosity was associated with a lower likelihood of DR progression (OR 0.76, [95% CI, 0.59-0.97], P = 0.005, per SD decrease). Lower arteriolar tortuosity was associated with a greater likelihood of DR regression (OR 1.95, [95% CI 1.07-3.56], P = 0.037, per SD decrease). Conclusions: Novel measures of retinal vascular geometry are associated with the incidence and progression of DR at 1 year. These geometric measures are likely to represent early dysfunction in the retinal microvasculature.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28750414     DOI: 10.1167/iovs.17-21699

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  8 in total

1.  Computer aided diabetic retinopathy detection based on ophthalmic photography: a systematic review and Meta-analysis.

Authors:  Hui-Qun Wu; Yan-Xing Shan; Huan Wu; Di-Ru Zhu; Hui-Min Tao; Hua-Gen Wei; Xiao-Yan Shen; Ai-Min Sang; Jian-Cheng Dong
Journal:  Int J Ophthalmol       Date:  2019-12-18       Impact factor: 1.779

2.  Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy.

Authors:  David Le; Minhaj Alam; Bernadette A Miao; Jennifer I Lim; Xincheng Yao
Journal:  Biomed Opt Express       Date:  2019-04-22       Impact factor: 3.732

3.  Correlations between visual acuity and macular microvasculature quantified with optical coherence tomography angiography in diabetic macular oedema.

Authors:  Chia-Chieh Hsiao; Chung-May Yang; Chang-Hao Yang; Tzyy-Chang Ho; Tso-Ting Lai; Yi-Ting Hsieh
Journal:  Eye (Lond)       Date:  2019-08-12       Impact factor: 3.775

4.  The Relationship of Retinal Vessel Geometric Characteristics to the Incidence and Progression of Diabetic Retinopathy.

Authors:  Ronald Klein; Kristine E Lee; Lorraine Danforth; Michael Y Tsai; Ronald E Gangnon; Stacy E Meuer; Tien Y Wong; Carol Y Cheung; Barbara E K Klein
Journal:  Ophthalmology       Date:  2018-05-18       Impact factor: 12.079

5.  Macular Vascular Geometry Changes With Sex and Age in Healthy Subjects: A Fundus Photography Study.

Authors:  Ziqing Feng; Gengyuan Wang; Honghui Xia; Meng Li; Guoxia Liang; Tingting Dong; Peng Xiao; Jin Yuan
Journal:  Front Med (Lausanne)       Date:  2021-12-15

6.  The Longitudinal Assessment of Vascular Parameters of the Retina and Their Correlations with Systemic Characteristics in Type 2 Diabetes-A Pilot Study.

Authors:  Rehana Khan; Sajib K Saha; Shaun Frost; Yogesan Kanagasingam; Rajiv Raman
Journal:  Vision (Basel)       Date:  2022-07-20

7.  Age-related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour.

Authors:  Sophie Lemmens; Martial Luyts; Nele Gerrits; Anna Ivanova; Charlien Landtmeeters; Reinout Peeters; Anne-Sophie Simons; Julie Vercauteren; Gordana Sunaric-Mégevand; Karel Van Keer; Geert Molenberghs; Patrick De Boever; Ingeborg Stalmans
Journal:  Acta Ophthalmol       Date:  2021-11-07       Impact factor: 3.988

8.  Retinal vascular tortuosity assessment: inter-intra expert analysis and correlation with computational measurements.

Authors:  Lucía Ramos; Jorge Novo; José Rouco; Stephanie Romeo; María D Álvarez; Marcos Ortega
Journal:  BMC Med Res Methodol       Date:  2018-11-20       Impact factor: 4.615

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.