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ABSTRACT: Importance
Infectious conjunctivitis can lead to corneal involvement and result in ocular morbidity. The identification of biomarkers associated with corneal involvement has the potential to improve patient care.Objective
To identify biomarkers in patients with acute infectious conjunctivitis.Design, setting, and participants
This cross-sectional study took place from December 2016 to March 2024. Analyses were performed in 3 phases. First, logistic regression and machine learning algorithms were used to predict the probability of demonstrating corneal involvement in patients with presumed infectious conjunctivitis. Second, quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to confirm the most important biomarker gene identified by the al
SUBMITTER: Seitzman GD
PROVIDER: S-EPMC11327903 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature