July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Impact of the personal microenvironment on dry eye metrics
Author Affiliations & Notes
  • Julia Janecki
    Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Anat Galor
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
    Opthalmology, Miami Veterans Affairs (VA) Medical, Miami, Florida, United States
  • Abigail Hackam
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • Bennie H Jeng
    Opthalmology, University of Maryland School of Medicine, Maryland, United States
  • Naresh Kumar
    Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Footnotes
    Commercial Relationships   Julia Janecki, None; Anat Galor, None; Abigail Hackam, None; Bennie Jeng, None; Naresh Kumar, None
  • Footnotes
    Support  Supported by the Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development, Clinical Sciences Research EPID-006-15S (Dr. Galor), R01EY026174 (Dr. Galor), NIH Center Core Grant P30EY014801 and Research to Prevent Blindness Unrestricted Grant.
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 2742. doi:
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    • Get Citation

      Julia Janecki, Anat Galor, Abigail Hackam, Bennie H Jeng, Naresh Kumar; Impact of the personal microenvironment on dry eye metrics. Invest. Ophthalmol. Vis. Sci. 2019;60(9):2742.

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

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Abstract

Purpose : Dry eye (DE) disease is widely prevalent worldwide and there is growing evidence that environmental factors contribute to DE symptoms and signs. We performed a cross-sectional study to determine the effect of the personal microenvironment, as it relates to indoor air quality, on various DE symptoms and signs in Miami, Florida.

Methods : 99 subjects with normal eyelid and corneal anatomy were recruited from the Miami Veterans Affairs Healthcare eye clinic from October 2017 to August 2018. During the clinic visit, symptoms of DE were assessed with standardized questionnaires and an ocular surface evaluation was conducted to measure tear osmolarity, tear breakup time, corneal epithelial cell disruption, tear production, eyelid parameters, and Meibomian gland atrophy. Within seven days of the clinic visit, a home visit was conducted to measure indoor air quality. An Aerocet Handheld Particle Counter was deployed for 90 minutes in the patient’s home. Environmental measures included number and size of airborne particles, humidity, and temperature. Correlational and multivariable linear regression analyses were performed to examine relationships between environmental and clinical metrics.

Results : The majority of subjects were male (84%), black (56%), and non-Hispanic (67%). Dry eye symptoms in the population were in the mild-moderate range with a mean Dry Eye Questionnaire-5 score of 11±5. Environmental metrics varied widely between homes, with regard to particles counts, temperature, and humidity. Univariate correlational analysis revealed humidity significantly associated with Ocular Surface Disease Index (OSDI) scores (r=0.30, p<0.05), Schirmer score (r= -0.25 p<0.05), Meibomian gland dropout(r=0.27, p<0.05), eyelid vascularity(r=0.27, p<0.05), and inflammation(r=0.32, p<0.01), Particulate matter was not significantly associated with measured DE metrics. A multivariable linear regression revealed that humidity remained a significant predictor of DE symptoms and signs when considering demographics, co-morbidities, medications, and interaction variables. (Table 1).

Conclusions : Humidity was the indoor environmental metric most closely associated with multiple symptoms and signs of DE. Further studies should focus on whether modulating humidity may improve DE metrics in appropriate individuals.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Forward Stepwise Multivariable analysis considering effects of environmental parameters on symptoms and signs of dry eye.

Forward Stepwise Multivariable analysis considering effects of environmental parameters on symptoms and signs of dry eye.

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