Predicting Progression to Vision-Threatening Complications in Diabetic Retinopathy

Area of Science:

• Ophthalmology
• Medical Imaging
• Diabetic Retinopathy Research

Background:

• Diabetic retinopathy (DR) is a leading cause of vision loss.
• Predicting progression to vision-threatening complications (VTCs) in nonproliferative diabetic retinopathy (NPDR) is crucial for timely intervention.
• Current staging systems may not fully capture individual risk.

Purpose of the Study:

• To evaluate the predictive performance of 56 parameters from electroretinography (ERG)/pupillometry, color fundus photography (FP), OCT angiography (OCTA), and ultra-widefield fluorescein angiography (UWF-FA) for NPDR progression to VTCs.
• To identify key imaging biomarkers for early risk stratification.

Main Methods:

• A longitudinal prospective study involving 162 subjects with moderate-to-severe NPDR.
• Analysis of 56 parameters across four imaging modalities: ERG/pupillometry, FP, OCTA, and UWF-FA.
• Kaplan-Meier analysis and Cox proportional hazards modeling to identify significant predictors of progression to VTCs (defined as proliferative DR, diabetic macular edema, or treatment).

Main Results:

• The RETeval DR score, integrating ERG and pupil response, was the strongest predictor (RR 5.6, P < 0.0001).
• Other significant predictors included UWF-FA's total ischemia index (RR 5.3, P < 0.0001), OCTA's foveal avascular zone area (RR 3.6, P < 0.05), and FP's DR severity scale (RR 2.1, P < 0.05).

Conclusions:

• Both functional (ERG, pupil response) and structural (FP, OCTA, UWF-FA) imaging modalities can predict DR progression to VTCs.
• The DR score demonstrates superior predictive capability, suggesting potential for improved DR staging.
• Enhanced risk stratification may optimize healthcare resource allocation for diabetic eye disease management.