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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clae.2021.101468DOI Listing

Publication Analysis

Top Keywords

dry eye
24
measurement precision
16
internal consistency
16
screening dry
8
eye disease
8
eye questionnaire
8
precision unidimensionality
8
assess ability
8
predict clinical
8
clinical measures
8

Similar Publications

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.

View Article and Find Full Text PDF

An update on emerging pharmacological treatments for meibomian gland dysfunction.

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 PDF

Efficacy and safety of transient receptor potential channel modulators for dry eye: A systematic review and meta-analysis.

Cont 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.

View Article and Find Full Text PDF

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 PDF

Predicting autoimmune thyroiditis in primary Sjogren's syndrome patients using a random forest classifier: a retrospective study.

Arthritis Res Ther

January 2025

Scientific Research Project Department, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Pazhou Lab, Guangzhou, China.

Article Synopsis
  • The study examines how effective machine learning, particularly the Random Forest Classifier, is in predicting thyroid-specific autoantibodies in patients with Primary Sjogren's syndrome (pSS) based on clinical data.
  • A total of 96 pSS patients were analyzed through thyroid function tests to categorize them by the presence of autoantibodies, leading to the exploration of various risk factors using four different machine learning algorithms.
  • The Random Forest Classifier yielded the best results (AUC = 0.755), highlighting age, IgG levels, complement C4, and dry mouth as significant predictors for autoimmune thyroiditis in these patients.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!