Evidence Hub

Rose Bengal photodynamic antimicrobial therapy as an adjunct treatment for Pseudomonas aeruginosa infectious necrotizing scleritis

Merikansky S, Mercado C, Durkee H, Kobus R, Navia JC, Arboleda A, Aguilar MC, Martinez JD et al.

Photodiagnosis and photodynamic therapy, 2025

Abstract

Purpose To report the utility of Rose Bengal Photodynamic Antimicrobial Therapy (RB-PDAT) as an adjunct treatment in rapidly progressing Infectious Necrotizing Scleritis (INS) secondary to Pseudomonas aeruginosa. Methods Retrospective chart review was conducted on consecutive patients with scleritis and culture-proven Pseudomonas aeruginosa who underwent RB-PDAT. Results Six patients with Pseudomonas aeruginosa INS were included. All patients achieved complete resolution of the infection. The mean time to resolution after RB-PDAT was 17 days (range; 6-30 days), with a total treatment course average of 36 days (range; 22-60 days). One patient with pan-resistant Pseudomonas sclerokeratitis required two RB-PDAT treatments due to persistent stromal melting. All patients received a standardized regimen of oral fluoroquinolone, topical tobramycin, and ciprofloxacin/moxifloxacin. The patient with pan-resistant Pseudomonas aeruginosa required treatment with topical imipenem as well. None of the patients required enucleation. Conclusion RB-PDAT is a feasible option to halt the progression of infectious necrotizing scleritis caused by Pseudomonas aeruginosa, especially in cases of impending perforation.

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free