Year: 2025
Type: article
Study design: Clinical Trial
Abstract: Objective: To evaluate the efficacy of a custom-designed approach to treatment with algorithms (C-DATA) for diabetic macular edema (DME) compared to established published protocols. Design: Prospective, comparative clinical study.Subjects: 33 patients with DME, contributing to 49 distinct eyes treated.Methods: Patients were treated according to the C-DATA algorithm, which guided the selection and timing of intravitreal injections, subtenon injections, and focal grid laser therapy based on individual patient characteristics and treatment responses.Comprehensive ophthalmic examinations, including Optical Coherence Tomography (OCT), were performed at each visit. Main Outcome Measures: Best-corrected visual acuity, treatment frequency, and patient dropout rate.Results: Eyes treated with C-DATA showed a mean improvement of 14.7 letters over an average follow-up period of 37.2 months, compared to 8.2 letters for eyes treated with standard protocols.71.4% of C-DATA-treated eyes improved, gaining an average of 22.14 letters.C-DATA required an average of 2.6 treatments per year, compared to 10.6 treatments per year for regimented protocols.The dropout rate for C-DATA was 1.9%, versus 11.4% for standard protocols.Conclusions: The C-DATA approach for DME management demonstrated superior visual acuity outcomes, significantly reduced treatment burden, and enhanced patient compliance compared to traditional regimented protocols.These findings suggest that personalized, algorithm-based treatment strategies may optimize DME management and improve long-term patient outcomes.
Source: Journal of Ocular Biology
Author: Nabil M. Jabbour
Institution: West Virginia University
Language: English
Subfield: Ophthalmology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4411285094