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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 31, 2020
Date Accepted: Apr 27, 2020

The final, peer-reviewed published version of this preprint can be found here:

Stratification of Individual Symptoms of Contact Lens–Associated Dry Eye Using the iPhone App DryEyeRhythm: Crowdsourced Cross-Sectional Study

Inomata T, Nakamura M, Iwagami M, Midorikawa-Inomata A, Sung J, Fujimoto K, Okumura Y, Eguchi A, Iwata N, Miura M, Fujio K, Nagino K, Hori S, Tsubota K, Dana R, Murakami A

Stratification of Individual Symptoms of Contact Lens–Associated Dry Eye Using the iPhone App DryEyeRhythm: Crowdsourced Cross-Sectional Study

J Med Internet Res 2020;22(6):e18996

DOI: 10.2196/18996

PMID: 32589162

PMCID: 7381048

Stratification of Individual Symptoms of Contact Lens-Associated Dry Eye: A Crowdsourced Study Using iPhone Application DryEyeRhythm

  • Takenori Inomata; 
  • Masahiro Nakamura; 
  • Masao Iwagami; 
  • Akie Midorikawa-Inomata; 
  • Jaemyoung Sung; 
  • Keiichi Fujimoto; 
  • Yuichi Okumura; 
  • Atsuko Eguchi; 
  • Nanami Iwata; 
  • Maria Miura; 
  • Kenta Fujio; 
  • Ken Nagino; 
  • Satoshi Hori; 
  • Kazuo Tsubota; 
  • Reza Dana; 
  • Akira Murakami

ABSTRACT

Background:

Discontinuation of contact lens use is mainly caused by contact lens-associated dry eye. It is crucial to delineate contact lens-associated dry eye's multifaceted nature to tailor treatment to each patient’s individual needs for future personalized medicine.

Objective:

To quantify and stratify individual subjective symptoms of contact lens-associated dry eye and clarify its risk factors for future personalized medicine using the smartphone application, “DryEyeRhythm.”

Methods:

This cross-sectional study included iPhone users in Japan who downloaded DryEyeRhythm. DryEyeRhythm was used to collect medical big data related to contact lens-associated dry eye between November 2016 and January 2018. The main outcome measure was the incidence of contact lens-associated dry eye. Univariate and multivariate-adjusted odds ratios of risk factors for contact lens-associated dry eye were determined by logistic regression analyses. The t-distributed Stochastic Neighbor Embedding was used to depict the stratification of subjective symptoms of contact lens-associated dry eye.

Results:

Records of 4,454 individuals (median age, 27.9 ± 12.6 years; female, 66.7%) who completed all surveys were included in this study; among the included participants, 1,844 were using contact lenses, and 1,447 (78.5%) had contact lens-associated dry eye. Multivariate-adjusted odds ratios (95% confidence interval) of risk factors for contact lens-associated dry eye were as follows: younger age, 0.98 (0.96–0.99); female sex, 1.53 (1.05–2.24); hay fever, 1.38 (1.10–1.74); mental illness other than depression or schizophrenia, 2.51 (1.13–5.57); past dry eye diagnosis, 2.21 (1.63–2.99); extended screen exposure time > 8 hours, 1.61 (1.13–2.28); and smoking, 2.07 (1.49–2.88). The t-distributed Stochastic Neighbor Embedding analysis visualized and stratified 14 groups based on the subjective symptoms of contact lens-associated dry eye.

Conclusions:

This study identified and stratified individuals with contact lens-associated dry eye and its risk factors. Data on subjective symptoms of contact lens-associated dry eye could be used for prospective prevention of contact lens-associated dry eye progression. Clinical Trial: N/A


 Citation

Please cite as:

Inomata T, Nakamura M, Iwagami M, Midorikawa-Inomata A, Sung J, Fujimoto K, Okumura Y, Eguchi A, Iwata N, Miura M, Fujio K, Nagino K, Hori S, Tsubota K, Dana R, Murakami A

Stratification of Individual Symptoms of Contact Lens–Associated Dry Eye Using the iPhone App DryEyeRhythm: Crowdsourced Cross-Sectional Study

J Med Internet Res 2020;22(6):e18996

DOI: 10.2196/18996

PMID: 32589162

PMCID: 7381048

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