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Correlation between retinal vascular geometric parameters and pathologically diagnosed type 2 diabetic nephropathy
Fang Liu1,2, Xiaoniao Chen3, Qian Wang1
1Department of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China.
Clinical Kidney Journal
|August 5, 2024
Summary
Retinal vascular geometric parameters, like fractal dimension, can help differentiate diabetic nephropathy (DN) from non-diabetic renal disease (NDRD). Incorporating these non-invasive measures improves diagnostic accuracy for diabetic kidney disease.
Area of Science:
- Ophthalmology
- Nephrology
- Diabetology
Background:
- Diabetic nephropathy (DN) and diabetic retinopathy (DR) are common diabetes complications.
- Investigating the link between retinal vascular geometry and type 2 DN is crucial.
Purpose of the Study:
- To explore the correlation between retinal vascular geometric parameters and pathologically diagnosed type 2 DN.
- To assess the utility of retinal vascular geometric parameters in distinguishing DN from non-diabetic renal disease (NDRD).
Main Methods:
- Adult patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease underwent renal biopsy.
- Univariate and multivariable regression analyses assessed associations between retinal vessel geometry and DN.
- A differential diagnostic model for DN was developed using logistic regression.
Main Results:
- 37.7% of 403 patients had DN, 39.0% had NDRD.
- Smaller retinal vascular fractal dimensions were significantly associated with DN (P < .05) after multivariate analysis.
- A diagnostic model combining clinical indicators and retinal parameters achieved an AUC of 0.930.
Conclusions:
- Retinal vessel fractal dimension aids in rapid, non-invasive differentiation of DN.
- Integrating retinal vessel fractal dimension into diagnostic models enhances efficiency for DN and NDRD differentiation.
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