Purpose: To evaluate the 5-item dry eye questionnaire (DEQ-5) for measurement precision and unidimensionality, and assess the ability of Ocular Surface Disease Index (OSDI), McMonnies Dry Eye Questionnaire (MQ), Ocular Comfort Index questionnaires (OCI), and DEQ to predict clinical measures of DED in an African population.
Method: Participants (n = 113; mean age 24.7 ± 5.4 years) completed all four questionnaires administered in a randomized order. Internal consistency and test-retest reliability of the instruments were assessed. A masked examiner performed clinical dry eye tests in both eyes of participants and the results used to classify into either "dry" or "non-dry" groups. The diagnostic criteria for dry eye disease were tear break up time (TBUT) < 10 s plus at least one of Schirmer <15 mm in 5 min., > 5 corneal staining spot, or > 9 conjunctival staining spots. Rasch analysis was performed to assess the DEQ for unidimensionality and measurement precision, and receiver operating characteristic curve (AUC) analysis was used to assess the ability of the four questionnaires to predict clinical measures of DED.
Results: The responses from the DEQ-5 met the Rasch analysis criterion of unidimensionality with infit and outfit values of between 0.74-1.43 mean-square and 0.69-1.49 mean-square, respectively, and measurement precision of 2.33. Internal consistency and test-retest reliability of each test was high, with Cronbach alpha >0.70 for the questionnaire and their respective subscales but internal consistency reliability of the MQ was poor (Cronbach's alpha = 0 .29-0 0.52). Each test segregated the "dry" and "non-dry" groups with moderate (all AUC 0.70-0.80) and similar accuracy (P > .05).
Conclusion: The DEQ -5 demonstrated adequate measurement precision and unidimensionality. Each of the four questionnaires showed psychometric validity for clinical use in the African population, and modest and similar accuracy when screening for dry eye signs but the performance of the McMonnies questionnaire was limited in terms of internal consistency reliability.
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http://dx.doi.org/10.1016/j.clae.2021.101468 | DOI Listing |
Background: Overexpression of tear matrix metalloproteinases-9 (MMP-9) on the ocular surface tissues has been reported to result in ocular surface damage. MMP-9 levels in tears have been listed as one of many tools for confirming dry eye disease (DED).
Objective: This investigation aimed to compare MMP-9 levels and ocular surface parameters in diabetic patients with and without DED.
Expert Opin Pharmacother
January 2025
Eye Clinic, Department of Surgical Sciences, University of Cagliari, Cagliari, Italy.
Introduction: Meibomian Gland Dysfunction (MGD) represents the most common cause of dry eye disease (DED). Traditional treatments mainly rely on heating and liquifying the meibum to favor its expression. However, recent knowledge advances have led to the development of novel therapies specifically designed for patients with MGD.
View Article and Find Full Text PDFCont Lens Anterior Eye
January 2025
Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Department of Integrative Medicine, Baoshan Campus of Huashan Hospital, Fudan University, Shanghai, China. Electronic address:
Purpose: To investigate the efficacy and safety of transient receptor potential (TRP) channel modulators for dry eye.
Methods: A thorough search for randomized clinical trials was conducted in seven databases up to February 16, 2024. Suitable studies were identified according to inclusion and exclusion criteria, extracted data were synthesized and analyzed using Review Manager 5.
Expert Opin Drug Saf
January 2025
Eye Institute & Affiliated Xiamen Eye Center, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Background: Dry eye syndrome (DES) has become a significant public health issue, impacting quality of life. Meibomian Gland Dysfunction (MGD) is a primary contributor to DES, and its etiology includes diverse factors. Given the potential for drug-induced MGD, comprehensive investigation into this association is crucial.
View Article and Find Full Text PDFArthritis Res Ther
January 2025
Scientific Research Project Department, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Pazhou Lab, Guangzhou, China.
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