Sex Differences in the Prevalence of Meibomian Gland Dysfunction: A Mini Review.

PURPOSE: In this review, we aimed to investigate the literature on sex-specific prevalence of meibomian gland dysfunction (MGD) and to determine whether women or men are more at risk for MGD. METHODS: A search was conducted on PubMed using the terms: (Sex OR Gender OR prevalence) AND (Meibomian gland). RESULTS: Twenty-four relevant studies on MGD prevalence were identified, including 10 population-based and 14 hospital-based studies. Among the population-based studies, five studies reported higher rates among men, three studies found no differences, and one study observed higher rates among women. In the hospital-based studies, 10 studies reported no difference, two found higher rates among men, and one found higher among women. In the reviewed literature, there was a considerable variation between studies in terms of quality, sample size, age ranges, diagnostic criteria. CONCLUSIONS: While most of the population-based studies suggest a higher prevalence among men, the majority of clinic-based studies show no significant difference. Further research with larger samples and standardized criteria is needed to determine whether men are indeed more susceptible to MGD.

Intense pulsed light treatment in meibomian gland dysfunction: Past, present, and future.

Dry eye disease is a highly prevalent condition, which can substantially impair quality of life, work productivity, and vision. It is considered an inflammatory disease and the most common cause is meibomian gland dysfunction. Despite many treatment alternatives being available, including artificial tears, warm compresses, antibiotics, and anti-inflammatory therapy, lasting treatment effects are rare. Over the last two decades, intense pulsed light therapy, after being well established in dermatology, has been gradually introduced to the field of ophthalmology to treat meibomian gland dysfunction. The purpose of the current article is to critically review the clinical studies assessing the use of intense pulsed light to treat meibomian gland dysfunction published to date. The vast majority of the included studies demonstrated improved symptoms and signs, although the degree of efficacy and its duration varied greatly depending on concomitant treatment, number of treatment sessions, and other factors. Several possible mechanisms of action concerning disease propagation and treatment efficacy are discussed. There is still a need for larger, randomised, longitudinal studies to define the most efficacious treatment regime and to predict which patients may benefit the most. More studies are needed on implementing biochemical analyses and machine learning algorithms. Such studies may prove beneficial in predicting treatment effects, defining optimal treatment regimens, and furthering our understanding of the mechanisms of action.

Predicting an unstable tear film through artificial intelligence.

Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. In this pilot study, we retrospectively included clinical data from 431 patients with dry eye disease examined in the Norwegian Dry Eye Clinic to evaluate how artificial intelligence algorithms perform on clinical data related to dry eye disease. The data was processed and subjected to numerous machine learning classification algorithms with the aim to predict decreased tear film break-up time. Moreover, feature selection techniques (information gain and information gain ratio) were applied to determine which clinical factors contribute most to an unstable tear film. The applied machine learning algorithms outperformed baseline classifications performed with ZeroR according to included evaluation metrics. Clinical features such as ocular surface staining, meibomian gland expressibility and dropout, blink frequency, osmolarity, meibum quality and symptom score were recognized as important predictors for tear film instability. We identify and discuss potential limitations and pitfalls.

Antibiotic treatment for dry eye disease related to meibomian gland dysfunction and blepharitis - A review.

BACKGROUND: Dry eye disease (DED) is among the most prevalent ophthalmic conditions but is often underdiagnosed and mistreated. Antibiotics are regularly used to treat DED caused by meibomian gland dysfunction (MGD) or blepharitis, but their use has been questioned. OBJECTIVE: To critically evaluate the use of oral and topical antibiotics in DED management. METHODS: A literature search was conducted on November 15th, 2021, in the PubMed database. The search terms were: (antibiotics OR azithromycin OR doxycycline OR minocycline) AND (dry eye disease OR meibomian gland OR blepharitis anterior OR blepharitis posterior OR chronic blepharitis). All relevant original articles with English full-text were included. Case reports and review articles were excluded. RESULTS: The search provided 619 articles, of which 22 met the inclusion criteria. Oral and topical antibiotics appeared to have short-term positive effects on signs and symptoms of blepharitis- or MGD-related DED. However, these improvements often reverted upon cessation of treatment. The need for repeated treatments and mild adverse events were common. CONCLUSIONS: Current evidence suggests that patients with blepharitis- or MGD-related DED experience short-term benefits of antibiotics. However, evidence for lasting improvement after completed treatment was lacking. Given the unclear long-term benefits, common side effects, and increasing antibiotic resistance seen globally, the existing literature is not sufficient to conclude that antibiotics are useful in long-term MGD management. A survival-analysis of a single round of antibiotics, in addition to the effects of repeated rounds of treatment, on DED parameters could provide useful insights.