Design and Validation of Endophthalmitis Infectivity Measurement Algorithm in Post Cataract Acute Endophthalmitis: EMS Report No. 6.

ABSTRACT:

Purpose

We constructed a clinical clue-based algorithm to identify the microbiology-positive post-cataract surgery endophthalmitis.

Methods

The Endophthalmitis Infectivity Measurement Algorithm (EIMA) was constructed using presenting Snellen vision (Letter score [LS]) and Inflammation Score (IS, from the cornea, anterior chamber, iris, and vitreous). Retrospective data (70% for training; 30% for testing) was fitted into CHAID (Chi-squared Automatic Interaction Detection). EIMA was validated with prospective data. EIMA-categorized disease severity was weighed against the symptom duration to detect infecting micro-organisms.

Results

EIMA was constructed from 1444 retrospective data. The average LS was 6.03 ± 12.11, median IS was 14 (8-24), and culture positivity was 38%

SUBMITTER: Das T 

PROVIDER: S-EPMC11316448 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature