Literature DB >> 16445434

Visual prognosis after panretinal photocoagulation for proliferative diabetic retinopathy.

Toke Bek1, Mogens Erlandsen.   

Abstract

INTRODUCTION: Proliferative diabetic retinopathy is treated with panretinal photocoagulation, which improves the visual prognosis in this complication considerably. The visual acuity (VA) and grade of retinopathy before treatment are known indicators of the visual prognosis after treatment, but the prognostic value of other clinical background and treatment parameters is unknown.
METHODS: The study reports predictors for visual outcome identified among retrospective clinical background data and treatment parameters from 4422 panretinal photocoagulation sessions for proliferative diabetic retinopathy in 1013 eyes of 601 patients performed at the Department of Ophthalmology, Arhus University Hospital between 1985 and 2002.
RESULTS: High pretreatment VA and low age were strong positive predictors of post-treatment VA (p < 0.0001). However, diabetes type, diabetes duration and calendar year of treatment showed no influence on post-treatment VA (p = 0.7829, 0.1782, and 0.3747, respectively). The visual prognosis was inversely related to the number of treatment sessions (p = 0.0259) and the number of vitrectomies (OR = 2.66 [1.24; 5.69], p = 0.0117, for more than two operations). However, the visual prognosis was unrelated to any of the other parameters studied.
CONCLUSIONS: Pretreatment VA, age and the number of panretinal photocoagulation treatment sessions and vitrectomies necessary to halt the disease are indicators of the visual prognosis after panretinal laser photocoagulation for proliferative diabetic retinopathy.

Entities:  

Mesh:

Year:  2006        PMID: 16445434     DOI: 10.1111/j.1600-0420.2005.00574.x

Source DB:  PubMed          Journal:  Acta Ophthalmol Scand        ISSN: 1395-3907


  4 in total

1.  Automated detection of proliferative retinopathy in clinical practice.

Authors:  Audrey Karperien; Herbert F Jelinek; Jorge J G Leandro; João V B Soares; Roberto M Cesar; Alan Luckie
Journal:  Clin Ophthalmol       Date:  2008-03

Review 2.  Application of artificial intelligence in ophthalmology.

Authors:  Xue-Li Du; Wen-Bo Li; Bo-Jie Hu
Journal:  Int J Ophthalmol       Date:  2018-09-18       Impact factor: 1.779

3.  Diabetic retinopathy treated with laser photocoagulation and the indirect effect on glycaemic control.

Authors:  Anna Praidou; Sofia Androudi; Periklis Brazitikos; George Karakiulakis; Eleni Papakonstantinou; Ioannis Tsinopoulos; Stavros Dimitrakos
Journal:  J Diabetes Res       Date:  2014-07-17       Impact factor: 4.011

4.  Spatial distribution of early red lesions is a risk factor for development of vision-threatening diabetic retinopathy.

Authors:  Giovanni Ometto; Phil Assheton; Francesco Calivá; Piotr Chudzik; Bashir Al-Diri; Andrew Hunter; Toke Bek
Journal:  Diabetologia       Date:  2017-09-07       Impact factor: 10.122

  4 in total

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