June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Assessing a new battery of risk factors for dry eye
Author Affiliations & Notes
  • Katherine M Mastrota
    Consultant, Brooklyn, New York, United States
  • Justin Timothy Kwan
    Southern California College of Optometry, Fullerton, California, United States
  • Scott G Hauswirth
    Minnesota Eye Consultants, Minneapolis, Minnesota, United States
  • Scott Schachter
    Advanced Eyecare , Pismo Beach, California, United States
  • Jennifer S Harthan
    Illinois College of Optometry, Chicago, Illinois, United States
  • Leslie E O'Dell
    Dry Eye Center of PA, Manchester, Pennsylvania, United States
  • Kristen Hipolito
    Private Practice, Azuza, California, United States
  • Milton M Hom
    Private Practice, Azuza, California, United States
  • Footnotes
    Commercial Relationships   Katherine Mastrota, None; Justin Kwan, None; Scott Hauswirth, None; Scott Schachter, None; Jennifer Harthan, None; Leslie O'Dell, None; Kristen Hipolito, None; Milton Hom, None
  • Footnotes
    Support  none
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 2652. doi:
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    • Get Citation

      Katherine M Mastrota, Justin Timothy Kwan, Scott G Hauswirth, Scott Schachter, Jennifer S Harthan, Leslie E O'Dell, Kristen Hipolito, Milton M Hom; Assessing a new battery of risk factors for dry eye. Invest. Ophthalmol. Vis. Sci. 2017;58(8):2652.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The purpose of this study was to identify risk factors for dry eye through a brief, 14-question patient profile survey.

Methods : Fourteen questions and the ocular surface disease index (OSDI) were administered to clinic patients at seven clinical sites. Subjects were defined as dry if their OSDI was ≥ 13 and normal if < 13. Dry was also confirmed with one or more clinical tests and established cut points (TBUT, staining, MG expression, phenol red thread test). Proportions and chi-squared tests were performed on the categorical responses by subjects.

Results : The responses that were statistically significant between dry and normal were migraine headaches (p = 0.005), see a doctor for chronic conditions (p = 0.025), sinus issues (p = 0.031), and use of eye drops (p = 0.004). In addition, 45% of the sample had consulted an allergist in the past.

Conclusions : Migraine headache and sinus issues were among the risk factors for dry eye as uncoverd by this survey. Sinus issues is a new risk factor identified in this battery of questions. Previous known risk factors such as diabetes and smoking were not significant. Future work entails assigning point values to these responses to define a cut point maximizing sensitivity and specificity for dry eye. Furthermore, a stronger association between allergy and dry eye may exist and needs continued investigation. This instrument has future implications in population studies as well as everyday clinical practice.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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