Literature DB >> 32682082

Meibomian gland dysfunction is the primary determinant of dry eye symptoms: Analysis of 2346 patients.

Calesta Hui Yi Teo1, Hon Shing Ong2, Yu-Chi Liu3, Louis Tong4.   

Abstract

PURPOSE: To determine relative contributions of various ocular surface clinical signs and predisposing factors to the magnitude of dry eye symptoms.
METHODS: Clinical audit data were prospectively collected for newly referred dry eye patients. All 2346 patients had an initial visit evaluation of the Ocular Surface Disease Index (OSDI), and a detailed ophthalmic examination including tear breakup time (TBUT), ocular surface fluorescein staining, Schirmer's I test. Among the participants, 1414 had number of liquid meibum expressing glands (NLMEG) evaluated on standard force expression. Other variables collected included history of glaucoma or glaucoma surgery, and history of allergies.
RESULTS: In patients aged 46.2 ± 14.8 years, 77.4% were women and 87.1% Chinese. The mean ± SD OSDI was 35.2 ± 21.7. On univariate analysis, higher OSDI was associated with glaucoma diagnosis (p = 0.003), glaucoma surgery (p = 0.002), greater temporal corneal staining (p = 0.002), reduced NLMEG (p < 0.001), and higher inferior forniceal papillary grade (p < 0.001). OSDI was not significantly associated with gender, TBUT, Schirmer's I test values, or the use of cyclosporine eyedrops. On multivariate regression, higher OSDI scores were associated with fewer NLMEG (p = 0.002) and increased lower eyelid forniceal papillary grading (p = 0.002). Corneal staining, glaucoma status and glaucoma surgery were not significantly associated with OSDI. Logistic regression showed that severe symptoms (OSDI>32) was associated with <2 NLMEG [OR(95%CI): 1.34(1.08-1.66)], and presence of inferior eyelid forniceal papillae [1.50(1.17-1.91)].
CONCLUSIONS: Meibomian gland dysfunction (MGD) and lower forniceal papillary reaction had significant contributions to the severity of symptoms, in contrast to traditional dry eye signs. MGD should be objectively assessed and treated to improve symptoms.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allergic conjunctivitis; Dry eye; Dry eye symptoms; Meibomian gland dysfunction; Ocular surface disease; Questionnaire

Mesh:

Year:  2020        PMID: 32682082     DOI: 10.1016/j.jtos.2020.06.008

Source DB:  PubMed          Journal:  Ocul Surf        ISSN: 1542-0124            Impact factor:   5.033


  8 in total

1.  The Effect of Past Cataract Surgery within the Medium to Long-Term Period on Patients with Dry Eye Disease.

Authors:  Lei Siew; Louis Tong
Journal:  J Clin Med       Date:  2022-02-13       Impact factor: 4.241

2.  Comparison of tear proteomic and neuromediator profiles changes between small incision lenticule extraction (SMILE) and femtosecond laser-assisted in-situ keratomileusis (LASIK).

Authors:  Yu-Chi Liu; Gary Hin-Fai Yam; Molly Tzu-Yu Lin; Ericia Teo; Siew-Kwan Koh; Lu Deng; Lei Zhou; Louis Tong; Jodhbir S Mehta
Journal:  J Adv Res       Date:  2020-11-05       Impact factor: 10.479

3.  Effect of a Novel Thermostatic Device on Meibomian Gland Dysfunction: A Randomized Controlled Trial in Chinese Patients.

Authors:  Siyuan Li; Ke Yang; Lei Tian; Ying Jie; Jingyi Wang; Shang Li; Lei Zhu; Jun Feng
Journal:  Ophthalmol Ther       Date:  2021-11-25

4.  Assessment and Management of Dry Eye Disease and Meibomian Gland Dysfunction: Providing a Singapore Framework.

Authors:  Louis Tong; Li Lim; Donald Tan; Wee Jin Heng; Jimmy Lim; Cordelia Chan; Anshu Arundhati; Anna Tan
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2021-11-11

5.  Dry Eye Disease Symptoms and Its Association with Daily Beverage Intake Among Adults in Saudi Arabia.

Authors:  Rakan Jaser Alsahly; Abdulrahman Abbas Aldawsari; Nawaf Fahad Alzaidy; Faisal Ali Al Jabr; Mamdouh Mohammed Alotaibi; Elsadig Yousef Mohammed
Journal:  Clin Ophthalmol       Date:  2022-02-22

Review 6.  Artificial Tears: Biological Role of Their Ingredients in the Management of Dry Eye Disease.

Authors:  Marc Labetoulle; Jose Manuel Benitez-Del-Castillo; Stefano Barabino; Rocio Herrero Vanrell; Philippe Daull; Jean-Sebastien Garrigue; Maurizio Rolando
Journal:  Int J Mol Sci       Date:  2022-02-23       Impact factor: 5.923

7.  Predicting demographics from meibography using deep learning.

Authors:  Jiayun Wang; Andrew D Graham; Stella X Yu; Meng C Lin
Journal:  Sci Rep       Date:  2022-09-20       Impact factor: 4.996

8.  Exploratory Search for Characteristic Symptoms to Distinguish Meibomian Gland Dysfunction from Dry Eye in a Population-Based Study in Japan.

Authors:  Reiko Arita; Takanori Mizoguchi; Motoko Kawashima; Shima Fukuoka; Shizuka Koh; Rika Shirakawa; Takashi Suzuki; Naoyuki Morishige
Journal:  J Clin Med       Date:  2022-03-19       Impact factor: 4.241

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.