search for




 

Objective Parameters Associated with Subjective Symptom Severity in Dry Eye Syndrome Patients
건성안증후군 환자의 주관적 증상 중증도와 관련있는 객관적 지표들
JKOS 2017 Mar;58(3):259-67
Published online March 15, 2017
Copyright © 2017 The Korean Ophthalmological Society.
PDF Download Count: 329 / View Count: 329

Min Hwan Seo, MD, Joo Youn Shin, MD, Do Hyung Lee, MD, PhD, Jin Hyoung Kim, MD, PhD
서민환⋅신주연⋅이도형⋅김진형

Department of Ophthalmology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
인제대학교 의과대학 일산백병원 안과학교실
Received November 10, 2016; Revised January 6, 2017; Accepted February 21, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
 Abstract
Purpose: To evaluate the correlation between the ocular surface disease index (OSDI score) and objectively quantifiable parameters in dry eye syndrome patients, and to assess environmental and lifestyle risk factors in severe OSDI patients.
Methods: The present study was retrograde and included 30 patients (30 eyes) diagnosed with dry eye syndrome at Ilsan Paik Hospital for the first time. Shirmer’s test, corneal staining, and conjunctiva staining were assessed, and tear break-up time, meibum quality, and OSDI questionnaires were performed. We measured the lipid layer thickness in tear meniscus and counted the amount of partial eyelid blinking using Lipiview®. Moreover, we modified images of the lower lid meibography and calculated the percentage of meibomian glands outside the lower tarsal plate using the ImageJ® software. We analyzed the Pearson’s correlation and performed a multiple linear regression analysis between the test values and OSDI. In addition, logistic regression analysis was used to determine the risk factors of the severe OSDI group, such as insomnia, level of computer use, and exposure to fully air-conditioned indoor environments.
Results: According to the Pearson’s correlation analysis, quality of the meibum showed the highest statistically significant correlation with OSDI, followed by age, conjunctiva staining score, counts of partial blinking, and corneal staining score. The multiple linear regression analysis revealed that quality of the meibum and age were statistically significant factors affecting the OSDI score. Based on the logistic regression analysis, using a computer for more than 4 hours at a time exhibited a 7.43-fold odds ratio for severe OSDI (p-value = 0.029).
Conclusions: Meibomian gland dysfunction and age should be considered to be important factors, especially in treating dry eye syndrome patients who complain severely. Moreover, we should also consider environmental factors such as long-term computer use for the treatment of dry eye syndrome patients with severe symptoms.
Keywords : Dry eye syndrome, Meibomian gland dysfunction, Ocular surface disease index

 

October 2019, 60 (10)