Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach.

Journal: Archivos de la Sociedad Espanola de Oftalmologia
PMID: 31122680

Abstract

OBJECTIVE: Because of high variability, tear film osmolarity measures have been questioned in dry eye assessment. Understanding the origin of such variability would aid data interpretation. This study aims to evaluate osmolarity variability in a clinical setting.

Authors

  • C Cartes
    Centro de la Visión, Filial Clínica Las Condes, Santiago, Chile.
  • D Lopez
    Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, OH 45701, USA.
  • D Salinas
    Centro de la Visión, Filial Clínica Las Condes, Santiago, Chile.
  • C Segovia
    School of Medical Technology, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile.
  • C Ahumada
    School of Medical Technology, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile.
  • N Pérez
    School of Medical Technology, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile.
  • F Valenzuela
    Fundación Oftalmológica Los Andes, Vitacura, Santiago, Chile.
  • N Lanza
    Bascom Palmer Eye Institute, University of Miami, Miami, Fl, Estados Unidos.
  • R O López Solís
    Institute for Biomedical Sciences (Cellular and Molecular Biology), Faculty of Medicine, University of Chile, Independencia, Santiago, Chile.
  • V L Perez
    Duke Eye Center for Ocular Immunology, Duke University School of Medicine, Durham, NC, Estados Unidos.
  • P Zegers
    College of Engineering and Applied Sciences, Universidad de los Andes, Santiago, Chile.
  • A Fuentes
    College of Engineering and Applied Sciences, Universidad de los Andes, Santiago, Chile.
  • C Alarcón
    Private Practice, Santiago, Chile.
  • L Traipe
    Centro de la Visión, Filial Clínica Las Condes, Santiago, Chile. Electronic address: ltraipe@gmail.com.

Keywords

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