Foveal Sensitivity as a Biomarker for Early Maculopathy in Diabetic Patients | ||||
| The Egyptian Journal of Hospital Medicine | ||||
| Article 185, Volume 100, Issue 1, July 2025, Page 3836-3841 PDF (783.64 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejhm.2025.449136 | ||||
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| Abstract | ||||
| Background: Hyperglycemia is linked to diabetic retinopathy (DR) and diabetic macular oedema (DME). Neurodegeneration in the retina is the cause of their development. Even in the absence of DR that is clinically apparent, this neurodegeneration results in diminished foveal sensitivity. Aim: To compare foveal sensitivity in diabetic to nondiabetic patients by using standard automated perimetry a (10-2) protocol. Patients and methods: A prospective, cross-sectional, comparative study was conducted at the Ophthalmology Department, Al-Zahraa University Hospital in Cairo, Egypt. All participants, who ranged in age from 18 to 60 years, were divided into two groups: Group (A) included sixty eyes from thirty diabetic patients without retinopathy, while Group (B) included sixty eyes from 30 non-diabetic patients. Every participant had a detailed history taking, full ocular examination, visual field testing, and OCT investigation. Results: The control group had substantially better mean values for visual acuity (VA), best corrected visual acuity (BCVA), central foveal thickness (CFT), foveal sensitivity (FS1), (FS3), and (FS5) degrees, and mean deviation (MD) than the diabetic group. MD and foveal sensitivity (FS1), (FS3), and (FS5) showed a substantial positive connection. Significant mild positive correlations were found between pattern standard deviation and FS1, FS3, and FS5, between VA and FS1, FS3, and FS5, and between BCVA and FS1, FS3, and FS5. Conclusion: Standard automated perimetry can detect those who are at risk of future vision loss through functional abnormalities in the fovea prior to any substantial structural changes. | ||||
| Keywords | ||||
| Foveal Sensitivity; Maculopathy; Diabetes Mellitus; Standard Automated Perimetry; Pattern Standard Deviation; Mean Deviation | ||||
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