<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(8)</volume><submitter>Das T</submitter><pubmed_abstract>&lt;h4>Purpose&lt;/h4>We constructed a clinical clue-based algorithm to identify the microbiology-positive post-cataract surgery endophthalmitis.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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%</pubmed_abstract><journal>Translational vision science &amp; technology</journal><pagination>10</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11316448</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Design and Validation of Endophthalmitis Infectivity Measurement Algorithm in Post Cataract Acute Endophthalmitis: EMS Report No. 6.</pubmed_title><pmcid>PMC11316448</pmcid><pubmed_authors>Behera UC</pubmed_authors><pubmed_authors>Joseph J</pubmed_authors><pubmed_authors>Dave VP</pubmed_authors><pubmed_authors>Das T</pubmed_authors><pubmed_authors>Pandya R</pubmed_authors><pubmed_authors>Kapoor A</pubmed_authors><pubmed_authors>Belenje A</pubmed_authors><pubmed_authors>Sahoo J</pubmed_authors><pubmed_authors>Pandey S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Design and Validation of Endophthalmitis Infectivity Measurement Algorithm in Post Cataract Acute Endophthalmitis: EMS Report No. 6.</name><description>&lt;h4>Purpose&lt;/h4>We constructed a clinical clue-based algorithm to identify the microbiology-positive post-cataract surgery endophthalmitis.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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%</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Aug</publication><modification>2025-04-18T20:07:04.305Z</modification><creation>2025-04-07T07:56:34.042Z</creation></dates><accession>S-EPMC11316448</accession><cross_references><pubmed>39110575</pubmed><doi>10.1167/tvst.13.8.10</doi></cross_references></HashMap>