Regular articleProposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales☆
Section snippets
Material and methods
At the time of the initiation of this project, it was agreed that the clinical disease severity scale should be evidence based, using data from important clinical studies such as the ETDRS and the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR)8, 9 The severity scale was intended to be primarily aimed at comprehensive ophthalmologists and primary care physicians, because these individuals see most patients with diabetes. Retinal specialists were considered to be familiar with the
Results
The results of the ratings for each of the stages (and some alternative definitions based on alternative views) after all deliberations are presented in Table 1. Regarding diabetic retinopathy, there was 100% agreement regarding the desirability of a level for “no retinopathy,” and there was significant disagreement for including “no apparent retinopathy” and “minimal nonproliferative retinopathy” in a single significant level (Table 1). There was 100% agreement regarding a level for
Discussion
The need to provide a framework for improved communications and transfer of information among the primary care physician, endocrinologist, ophthalmologist, and other eye care providers was a major impetus to develop simplified clinical disease severity scales that could be used internationally. This international clinical classification system is based on an evidence-based approach, particularly the findings of the ETDRS and the WESDR.2, 9 These two studies have provided an understanding of the
References (11)
Photocoagulation treatment of proliferative diabetic retinopathythe second report of diabetic retinopathy study findings
Ophthalmology
(1978)Early photocoagulation for diabetic retinopathy. ETDRS report number 9
Ophthalmology
(1991)Barriers to prevention of vision loss caused by diabetic retinopathy
Arch Ophthalmol
(1997)A modification of the Airlie House classification of diabetic retinopathy. Report 7
Invest Ophthalmol Vis Sci
(1981)Screening para retinopatia diabetica en Latino America. Resultados
Rev Soc Brasil Retina Vitreo
(2001)
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Manuscript no. 220905.
Supported by Eli Lilly Company, Indianapolis, Indiana.
There are no conflicts of interest related to the manuscript on the part of authors.
Reprint requests to Flora Lum, MD, American Academy of Ophthalmology, 655 Beach Street, P.O. Box 7424, San Francisco, CA 94120-7424.