Huber Simone Leonora, Parzer Verena, Ludvik Bernhard, Pollreisz Andreas, Mahnert Nikolaus, Brix Johanna Maria
Department of Medicine I, Klinik Landstrasse Vienna, Austria; Karl Landsteiner Institute for Obesity and Metabolic Disorders, Vienna, Austria.
Department of Medicine I, Klinik Landstrasse Vienna, Austria; Karl Landsteiner Institute for Obesity and Metabolic Disorders, Vienna, Austria.
J Diabetes Complications. 2025 Oct;39(10):109120. doi: 10.1016/j.jdiacomp.2025.109120. Epub 2025 Jul 2.
This study assessed the IDx-DR software's effectiveness as a diabetic retinopathy (DR) screening tool in a routine outpatient setting. It also evaluated the software's safety and feasibility.
RA prospectively planned analysis of patients with diabetes was conducted at the diabetes outpatient clinic of a specialized tertiary care center from March 2021 to October 2022. These patients underwent retinal imaging with IDx-DR during routine visits.
The majority of the 996 included patients were female (53.1 %), and the median age was 61.1 years. Notably, 40.2 % had a BMI ≥ 30 kg/m, and 35.8 % were active smokers. DR was detected by IDx-DR in n = 178 (26 %) of patients. 73.1 % of those patients were newly diagnosed with retinopathy without any history of retinopathy in the medical history (p < 0.001). DR patients were older (median 60.4 vs 57.5 years; p = 0.050), had higher HbA1c levels (7.0 % vs. 7.6 %; p < 0.001) and a higher frequency of ophthalmologic check-ups (p = 0.015). In multiple binary logistic regression, use of insulin (OR = 1.735 [1.096; 2.748], p = 0.19) and diabetes duration (medium vs. short: OR = 2.356 [1.36; 4.07], p = 0.002, long vs. short: OR = 1.776 [1.03; 3.06], p = 0.39) independently predicted DR, while age and sex were not significant predictors.
This study supports integrating AI tools like IDx-DR in DR screening. It highlights IDx-DR's utility and efficacy in improving DR detection and patient care, suggesting its potential for broader, cost-effective screening in Austria and possibly elsewhere.
