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Dataset Information

Biomarker Detection and Validation for Corneal Involvement in Patients With Acute Infectious Conjunctivitis.


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