Evaluation of the Ocular Surface Disease Index Questionnaire as a Discriminative Test for Clinical Findings in Dry Eye Disease Patients

Unsupervised Learning Based on Meibography Enables Subtyping of Dry Eye Disease and Reveals Ocular Surface Features

Purpose

This study aimed to establish an image-based classification that can reveal the clinical characteristics of patients with dry eye using unsupervised learning methods.

Methods

In this study, we analyzed 82,236 meibography images from 20,559 subjects. Using the SimCLR neural network, the images were categorized. Data for each patient were averaged and subjected to mini-batch k-means clustering, and validated through consensus clustering. Statistical metrics determined optimal category numbers. Using a UNet model, images were segmented to identify meibomian gland (MG) areas. Clinical features were assessed, including tear breakup time (BUT), tear meniscus height (TMH), and gland atrophy. A thorough ocular surface evaluation was conducted on 280 cooperative patients.

Results

SimCLR neural network achieved clustering patients with dry eye into six image-based subtypes. Patients in different subtypes harbored significantly different noninvasive BUT, significantly correlated with TMH. Subtypes 1 and 5 had the most severe MG atrophy. Subtype 2 had the highest corneal fluorescent staining (CFS). Subtype 4 had the lowest TMH, whereas subtype 5 had the highest. Subtypes 3 and 6 had the largest MG areas, and the upper MG areas of a person's bilateral eyes were highly correlated. Image-based subtypes are related to meibum quality, CFS, and morphological characteristics of MG.

Conclusions

In this study, we developed an unsupervised neural network model to cluster patients with dry eye into image-based subtypes using meibography images. We annotated these subtypes with functional and morphological clinical characteristics.

Diagnosing dry-eye: Which tests are most accurate?

PURPOSE

To demonstrate how the likelihood of making a correct diagnosis of dry eye disease varies according to the clinical test methods used.

METHODS

The probability of a person having dry eye, given that they return a positive test, was calculated for a range of standard tests, using the Bayes-Price rule. Global specificity and sensitivity values for each test were estimated by employing the Beta distribution to combine all relevant data obtained from a literature review.

RESULTS

At an assumed prevalence of 11.6%, the single test with the highest probability of a correct diagnosis was corneal staining (probability = 0.28) and the lowest was the ocular surface disease index - OSDI (0.14). The best combination of symptoms with a single test of tear film homeostasis was the 5-item dry eye questionnaire (DEQ-5) + corneal staining (0.42) while OSDI + tear film break up time (TBUT) was the worst (0.23). The simultaneous observation of conjunctival and corneal staining was associated with a probability of 0.49. The probability of a correct diagnosis increased with the number of positive tests, up to a maximum of 0.90 when all of DEQ-5, conjunctival and corneal staining, osmolarity and TBUT were positive.

CONCLUSION

A significant risk of misdiagnosis is associated with using any single test for dry eye disease, or the minimum TFOS DEWS II criterion of symptoms plus any single test of tear film homeostasis. To minimize this risk, the maximum number of tests available should be performed and the results used to inform diagnosis. The simultaneous occurrence of conjunctival and corneal staining should be considered a key outcome and be specified in future guidelines.

Serum Vitamin D Levels and Dry Eye Disease in Postmenopausal Women: A Case-Control Study at a Tertiary Care Center in Rural Haryana

Background

Despite the high prevalence of Vitamin-D insufficiency and high susceptibility to dry eye disease (DED) in postmenopausal women (PMW), correlation between DED and Vitamin D has not been explored in PMW in any Indian study.

Aims and Objectives

To explore the correlation between serum Vitamin D levels in PMW with and without DED, in a hospital-based population in rural Haryana.

Materials and Methods

Subjective (ocular surface disease index [OSDI] questionnaire) and objective clinical tests were undertaken for DED diagnosis. 25(OH) Vitamin D was measured in serum using enzyme-linked immunosorbent assay; insufficient (10-30 ng/ml) and deficient (<10 ng/ml). Descriptive statistics were analyzed by mean ± standard deviation for continuous and frequencies for the categorical variables; Student's t-test used to find out mean difference in Vitamin D levels; P < 0.05 was considered statistically significant.

Results

One hundred and forty PMW (60.1 ± 5.32 years) were included; Group-A (Controls; no DED; n: 70); Group-B (Cases; DED diagnosed by OSDI scores; n: 70); Subgroup-B1 (clinical tests negative; n: 30) and B2 (clinical tests positive; n: 40). There was no statistically significant difference in OSDI scores between B1 and B2. Significantly lower mean Vitamin D levels were found in cases (14.36 ± 4.08 ng/ml) as compared to controls (19.19 ± 6.4 ng/ml) (P = 0.001) and in B2 (13.15 ± 3.51 ng/ml) as compared to B1 (15.57 ± 4.66 ng/ml) (P = 0.01).

Conclusion

There were significantly low levels of Vitamin-D in clinically established DED. Evaluating Vitamin D levels as a part of the dry eye workup in PMW is recommended. OSDI scores were not aligned with the clinical test scores; questionnaire-based tests alone may not be sufficient for diagnosing DED.

What Are the Dry Eye Questionnaires Available in the Scientific Literature Used for? A Scoping Review

PURPOSE

Dry eye disease (DED) is a frequent chronic ophthalmic condition. Its diagnosis includes tests and patient reported outcomes (PRO) questionnaires. Although many PRO dry eye questionnaires (PRO-DEQs) are available, they differ greatly from each other and not all have been validated. The purpose of this study was to retrieve the PRO-DEQs present in the scientific literature by performing a descriptive analysis of them and identifying those with known validity and reliability characteristics and to perform a descriptive analysis of the geographic area, year of publication, and characteristics of the target population of the clinical studies that have used validated PRO-DEQs.

DESIGN

Scoping review of the literature.

METHODS

Searches were conducted in PubMed to retrieve PRO-DEQs published up to July 2018 and written in English, French, Italian or Spanish.

RESULTS

One thousand six hundred two records were identified and 973 were included in the final analysis. Of these, 56 provided information on the design and validation of PRO-DEQs and 49 PRO-DEQs were identified. Twenty-two PRO-DEQs were validated (17 original and 5 modified) and 27 had no associated design, validity, and reliability studies. Most of the validated PRO-DEQs were designed in English, the number of items varies from 1 to 57, the dimensions are generally not specified, and they are self-administered. The greatest use of validated PRO-DEQs in clinical studies has been in Asia since 2010, with the Ocular Surface Disease Index being the most used. These questionnaires have been used mostly in adults, retired professionals, and people with visual diseases to diagnose DED.

CONCLUSIONS

This study aims to encourage the use of validated PRO-DEQs to guarantee the quality of the results obtained and the comparability and replicability among studies.

Validation of the Modified Schein Dry Eye Symptom Questionnaire and Comparison With the Ocular Surface Disease Index

Purpose

This study evaluated the validity and diagnostic efficacy of a modified Schein dry eye questionnaire and compared it to the Ocular Surface Disease Index (OSDI).

Methods

The original Schein survey was modified to allow numerical scoring on a 0 to 24 scale and evaluated in prospective studies in normal and dry eye subjects. Receiver operating characteristic (ROC) analysis for test efficacy in aqueous deficient dry eye (ADDE) and evaporative dry eye (EDE) related to meibomian gland dysfunction was determined.

Results

Dry eye subtype, age and gender were statistically significant in explaining variation in modified Schein scores (n = 377; general linear model; all P values < 0.006) whereas for Ocular Surface Disease Index (OSDI) only age and gender were significant, but not dry eye subtype. The modified Schein ROC curve had an area under the curve (AUC) of 0.693 (95% confidence interval [CI], 0.635–0.753), with cutpoint of 7.5 (sensitivity of 0.75, specificity of 0.55). Similarly, the OSDI had an AUC of 0.685 (95% CI, 0.610–0.760), at a cutpoint of 10.4 (sensitivity of 0.75, specificity of 0.55). Modified Schein and OSDI correlated well (Pearson r = 0.81; P < 0.001). Symptom change for the modified Schein with artificial tear treatment was significant in EDE subjects (Dunnet's tests, P value < 0.001).

Conclusions

The modified Schein questionnaire is rapid to administer and score and compares well with the OSDI for test efficacy. Moreover, it differentiates normals from ADDE and EDE subtypes and is responsive to dry eye treatment. These attributes make the modified Schein survey an attractive dry eye symptom characterization instrument.

Translational Relevance

The modified Schein symptom survey, validated against clinical diagnosis and an existing survey, provides a new, efficacious diagnostic and treatment monitoring instrument in dry eye disease.

Tear Film Break-Up Time and Dry Eye Disease Severity in a Large Norwegian Cohort

This study evaluated to what extent tear film break-up time (TFBUT) could discriminate pathological scores for other clinical tests and explore the associations between them. Dry eye patients (n = 2094) were examined for ocular surface disease index (OSDI), tear film osmolarity (Osm), TFBUT, blink interval, ocular protection index (OPI), ocular surface staining (OSS), Schirmer I test, meibomian expressibility, meibomian quality, and meibomian gland dysfunction. The results were grouped into eight levels of break-up time (≤2, ≥3, ≤5, ≥6, ≤10, ≥11, ≤15, and ≥16) with or without sex stratification. Receiver-operating characteristic curve (ROC) analysis and Pearson’s correlation coefficients were used to study TFBUT’s discriminative power and the associations among the tests, respectively. Above and below each TFBUT’s cut-off, all of the parameters indicated significant difference between groups, except OSDI (cut-off 15 s) and Osm (cut-offs 5 s–15 s). At TFBUT cut-off of 2 s, sex difference could be detected for OSDI, Osm, and OSS. OPI presented the strongest discriminative power and association with TFBUT in sharp contrast to Osm, holding the poorest discriminative power with no significant correlation. The remaining parameters were within the poor to very poor categories, both with regard to discrimination and correlation. In conclusion, patients with lower TFBUT presented with more severe DED parameters at all four defined cut-off values.

Toward better outcomes in Sjögren's syndrome: The promise of a stratified medicine approach

Sjögren's syndrome is a systemic autoimmune disease defined by its targeted inflammation of the salivary and lacrimal glands, resulting in dry mouth and eyes in the majority and persistent or recurrent salivary gland enlargement in a minority of those affected. Involvement of major organs, an increased risk of lymphoma, and autoantibodies against ubiquitous cellular ribonucleoproteins define some of its systemic features. Those affected have a high symptom burden and the development of disease-modifying therapies is thus an urgent need. A stratified medicine approach offers promise as a means of targeting specific therapies to patients for whom the mechanism of action is most relevant. Implementation of this approach will require an understanding of the pathophysiological processes underlying different patient subsets, and then identifying or developing a drug that targets this pathway. Such therapies would be most effective if implemented early in the disease course before the advent of adverse outcomes or glandular damage. This review will provide a disease overview followed by an analysis of the feasibility of a stratified medicine approach, focusing on the disease heterogeneity, predictors of disease progression and adverse outcomes, and recent advances in the development of relevant outcome measures and new therapies.

Tear Metabolomics in Dry Eye Disease: A Review

Dry eye disease (DED) is a multifactorial syndrome that can be caused by alteration in the quality or quantity of the precorneal tear film. It is considered one of the most common ocular conditions leading patients to seek eye care. The current method for diagnostic evaluations and follow-up examinations of DED is a combination of clinical signs and symptoms determined by clinical tests and questionnaires, respectively. The application of powerful omics technologies has opened new avenues toward analysis of subjects in health and disease. Metabolomics is a new emerging and complementary research discipline to all modern omics in the comprehensive analysis of biological systems. The identification of distinct metabolites and integrated metabolic profiles in patients can potentially inform clinicians at an early stage or during monitoring of disease progression, enhancing diagnosis, prognosis, and the choice of therapy. In ophthalmology, metabolomics has gained considerable attention over the past decade but very limited such studies have been reported on DED. This paper aims to review the application of tear metabolomics in DED.