Different perception of dry eye symptoms between patients with and without primary Sjogren's syndrome

Next-Generation Tear Meniscus Height Detecting and Measuring Smartphone-Based Deep Learning Algorithm Leads in Dry Eye Management

Purpose

This study aims to develop and assess an infrastructure using Python-based deep learning code for future diagnostic and management purposes related to dry eye disease (DED) utilizing smartphone images.

Design

Cross-sectional study using data which was gathered in Vision Health Research Clinic.

Participants

One thousand twenty-one eye images from 734 patients were included in this article that categorizes into 70% females and 30% males, with no sex and age limit.

Methods

One specialist captured eye images using Samsung A71 (601 images) and iPhone 11 (420 images) cell phones with the flashlight on and direct gaze to the camera. These images include the area of only 1 eye (left/right).

Main Outcome Measures

First, our specialist did 3 different segmentations for every eye image separately for 80% of the training data. This part contains eye, lower eyelid, and iris segmentation. In 20% of test data after automated cropping of the lower eyelid margin and upscaling by 8×, the appropriate tear meniscus height segmentation will be chosen and measured using a deep learning algorithm.

Results

The model was trained on 80% of the data and 20% of the data used for validation from both phones with different resolutions. The dice coefficient of the trained model for validation data is 98.68%, and the accuracy of the overall model is 95.39%.

Conclusions

It appears that this algorithm holds the potential to herald an evolution in the future of diagnosis and management of DED by homecare devices solely through smartphones.

Financial Disclosures

The author(s) have no proprietary or commercial interest in any materials discussed in this article.

What can patients tell us in Sjögren's syndrome?

In Sjögren's Syndrome (SS), clinical heterogeneity and discordance between disease activity measures and patient experience are key obstacles to effective therapeutic development. Patient reported outcome measures (PROMs) are useful tools for understanding the unmet needs from the patients' perspective and therefore they are key for the development of patient centric healthcare systems. Initial concern about the subjectivity of PROMs has given way to methodological rigour and clear guidance for the development of PROMs. To date, several studies of patient stratification using PROMs have identified similar symptom-based subgroups. There is evidence to suggest that these subgroups may represent different disease endotypes with differing responses to therapeutic interventions. Stratified medicine approaches, alongside sensitive outcome measures, have the potential to improve our understanding of SS pathobiology and therapeutic development. The inclusion of PROMs is important for the success of such approaches. In this review we discuss the opportunities of using PROMs in understanding the pathogenesis of and therapeutic development for SS.

The varied influence of ocular Demodex infestation on dry eye disease and meibomian gland dysfunction across different age groups

This study aimed to investigate the impact of ocular demodicosis on dry eye disease (DED) and meibomian gland dysfunction (MGD) across different age populations: young (20 to < 40), middle-aged (40 to < 60), and elderly (≥ 60), based on the retrospective medical chart review. In each age subgroup, Demodex infestation and its count were correlated with clinical parameters of DED and MGD. Among the total of 351 subjects, 52.7% had ocular demodicosis, with a mean of 2.31 ± 1.39 mites per four eyelashes (0.58 per lash) in a unilateral eye. In the age subgroup 1 (age < 40; N = 44), subjects with Demodex had significantly higher meibum quality grades. In subgroup 2 (40 ≤ age < 60; N = 122), subjects with Demodex had higher ocular surface disease index scores and higher MG expressibility grades. However, in subgroup 3 (age ≥ 60; N = 185), demographics and all parameters did not differ according to Demodex infestation. Moreover, the number of mites did not correlate with MGD severity in any of the subgroups. In conclusion, age may act as a significant confounding factor in the relationship between ocular Demodex infestation and clinical features of DED and MGD, despite older patients aged 60 years and above being at a higher risk of Demodex infestation and experiencing more severe MGD.

Myositis-Specific and Myositis-Associated Antibodies in Fibromyalgia Patients: A Prospective Study

Fibromyalgia (FM) is a common rheumatologic disorder characterised by widespread muscular pain. Myalgia is also a common clinical feature in Connective Tissue Disease (CTD), and FM should be studied for the concomitant presence of a CTD. The aim of this study is to evaluate the prevalence of Myositis-Specific and Myositis-Associated Antibodies (MSA/MAA) in a cohort of FM patients. We enrolled 233 consecutive FM patients (defined according to the 2016 criteria) that did not report clinical signs of autoimmune disorders and followed them for at least one year. The patients were tested for MSA/MAA with immunoblotting. FM patients were seropositive for Antinuclear Antibodies (ANA) in 24% of cases, for MSA in 9%, and for MAA in 6%. A specific diagnosis of CTD was made in 12 patients (5.2%), namely, 5 cases of primary Sjögren’s Syndrome and 7 of Idiopathic Inflammatory Myopathy. Seropositive patients showed clinical features similar to those who were seronegative at baseline. A CTD diagnosis was associated with ANA positivity (p = 0.03, X2 4.9), the presence of a speckled pattern (p = 0.02, X2 5.3), positivity for MAA (p = 0.004, X2 8.1), and MSA (p = 0.003, X2 9.2). In conclusion, a non-negligible proportion of FM patients may be seropositive for MSA/MAA, and that seropositivity might suggest a diagnosis of CTD.

Different Number of Sessions of Intense Pulsed Light and Meibomian Gland Expression Combination Therapy for Meibomian Gland Dysfunction

PURPOSE

To evaluate the effect of the intense pulsed light (IPL) and meibomian gland (MG) expression (MGX) combination therapy according to the total numbers of sessions in the meibomian gland dysfunction (MGD).

METHODS

Ninety patients with MGD were included. Patients had maximal five sessions of IPL (Aqua Cel, Jeisys Medical) and MGX combination therapy at 2-week intervals. The ocular surface disease index (OSDI) questionnaire score, MG profile grades, tear matrix metalloproteinase-9 (MMP-9), tear break-up time (BUT), tear osmolarity, tear secretion, and corneal erosions were evaluated.

RESULTS

The number of patients who had a total of one to five sessions (1S to 5S) was 10, 25, 17, 20, and 18, respectively. The time-serial decrease of OSDI scores was significant in patients who had three or more sessions (3S, p = 0.002; 4S, p < 0.001; 5S, p < 0.001). The MG expressibility grade decreased with two or more sessions (2S-5S, p < 0.001), but the meibum quality significantly improved with all sessions (1S, p = 0.012; 2S, p = 0.024; 3S, p = 0.015; 4S, p < 0.001; 5S, p < 0.001). Although tear BUT increased even in patients with one session (1S, p = 0.040; 3S, p = 0.005; 4S, p = 0.006; 5S, p = 0.021), tear MMP-9, osmolarity, Schirmer I, and corneal erosions were not improved in every number of sessions. The female sex was the sole contributor to the final symptomatic improvement (p = 0.042), and the MGD stages were not related to the final OSDI decrease.

CONCLUSIONS

The OSDI score, MGD grades, and BUT were improved after the IPL and MGX combination therapy in MGD patients. Unlike MGD grades and tear film instability might be improved just after a few sessions, the overall subjective relief was accomplished in three or more sessions.

Dry eye examination - benefits of Ocular Surface Disease Index (OSDI) questionnaire with clinical testing

Introduction/Objective Dry eye is a multifactorial disease with up to 50% in population. It is characterized by a loss of homeostasis of the tear film and accompanied by ocular symptoms. Ocular Surface Disease Index (OSDI) questionnaire is designed to provide a rapid assessment of the symptoms. The aim of this study was to evaluate diagnostic capacity of OSDI. Methods A prospective, randomized and observational study was conducted at the Clinic for Eye Disease, Clinical Center of Serbia, between December 2018 and February 2019. The OSDI questionnaire was used to rate the severity of dry eye disease. Schirmer I test, tear break-up time test (TBUT), Rose Bengal test and lid-parallel conjunctival folds (LIPCOF) test were performed as a clinical proof of the symptoms. Results A total of 27 patients, 15 male (55.4%) and 12 female (44.6%), with mean age of 60 ? 15 years were included in the study. The average value of OSDI score was 26.37 ? 23.98 (0-80). Schirmer I test and Rose Bengal test for right and left eye, as well as BUT test for left eye were positively correlated with OSDI score (Spearman correlation coefficient). Conclusion OSDI questionnaire is fast, reliable, and cheap test. In our study we have found correlation between OSDI score and other clinical tests, except with LIPCOF test. At this moment, the questionnaire that could be the gold standard for dry eye disease diagnosis doesn?t exist, therefore further studies concerning this topic are needed.