Correlation between metabolic status and diabetic retinopathy evolution in type 1 diabetes
- Authors:
- Aurelia Romila
- Vasile Potop
- Radu Ciuluvica
- Banita Monica
- Mihaela Cezarina Mehedinti Hincu
- Sanda Jurja
View Affiliations
Affiliations: Department of Geriatrics, Faculty of Medicine, ‘Dunarea de Jos’ University of Medicine and Pharmacy, 800008 Galati, Romania, Department of Ophthalmology, Faculty of Medicine, University of Medicine and Pharmacy ‘Carol Davila’, 020956 Bucharest, Romania, Department of Anatomy, Faculty of Dental Medicine, University of Medicine and Pharmacy ‘Carol Davila’, 020956 Bucharest, Romania, Department of Histology, Craiova University of Medicine and Pharmacy, 200349 Craiova, Romania, Department of Histology, ‘Dunarea de Jos’ University of Galati, Medicine and Pharmacy Faculty, 800008 Galati, Romania, Department of Ophthalmology, ‘Ovidius’ University of Constanta, 900470 Constanta, Romania
- Published online on: August 26, 2021 https://doi.org/10.3892/etm.2021.10648
-
Article Number:
1214
-
Copyright: © Romila
et al. This is an open access article distributed under the
terms of Creative
Commons Attribution License.
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Abstract
Out of the multiple vascular complications of diabetes, retinopathy is the easiest to diagnose and monitor as the examination of the eye fundus is an easy investigation to perform, does not require expensive medical equipment and can be repeated without any risk to the patient. The appearance of the retinal vessels, the optic nerve and the retina can provide useful information on the coronary and cerebral circulation, plasma lipid levels, renal function, and the quality of the arteries of the lower limbs. It is known that visual acuity changes variably depending on the macular alteration and may decrease when edema is installed in the macular region or is altered by the appearance of hemorrhages or the presence of foveolar neovascular tissues resulting from traction retinal detachment. In the absence of proper treatment, diabetes leads to blindness. The lesions that appear are not specific to diabetes, but by combining them they create a clinical picture characteristic of this disease.
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