View 2024 Abstracts

Click here to go back to listing page

Abstract ID: 24-167

Quality of life for patients with mild to moderate meibomian gland dysfunction: the baseline characteristics from a randomized clinical trial

Kelvin Chong


Purpose

To report the quality of life (QoL) in mild to moderate meibomian gland dysfunction (MGD) and evaluate its relationship with MGD-related clinical measures at baseline for patients enrolled in a randomized clinical trial. (ClinicalTrials.gov ID NCT05577910)


Methods

Subjects self-administered the 36-Item Short Form Surveys (SF-36). It includes Physical Component Summary (PCS) and Mental Component Summary (MCS) scores with eight dimensions: physical functioning (PF), role-functioning physical (RP), body pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE) and mental health (MH). Clinical measures include slit-lamp MGD grading, Oculus Keratograph 5M, and Lipiview II. Multiple linear regression (MLR) was applied for analysis of the correlation between SF-36 and clinical measures via SPSS V.29.


Results

47 subjects (40 females, 85.10%) aged 59.8 ±9.0 were included in our study. Mean of PCS and MCS were 301.83 ±60.89 and 278.69 ±57.07. The lowest scoring dimension was SF (56.91 ±12.71). PCS and MCS were not associated with age, sex, first non-invasive keratograph break-up time (NIKBUT), average NIKBUT, meiboscore, fluorescence tear break-up time (FTBUT), oxford scheme for corneal and conjunctival staining, quality of expressed meibum (QEM). QEM and SF-36 dimensions showed significant correlation between QEM and VT score (p= 0.02).


Conclusion

Overall physical and mental components as measured with SF-36 did not correlate with most clinical measurement of MGD in our cohort. Of the eight dimensions of SF-36, SF was most affected by MGD, but VT correlated best with clinical severity of MGD reflected by QEM. SF-36 as a generic measure of QoL may not be a sensitive measure of QoL impact in mild to moderate MGD.


Additional Authors

Zhi Chao Hu – The Chinese University of Hong Kong

Hanson Yiu Man Wong – The Chinese University of Hong Kong

Jeffrey Chun Fung Lam – King’s College London

Wai Yan Lam – Grantham Hospital