Bibliometric analysis of ophthalmic OCT and OCT angiography research trends over the past 20 years.

PURPOSE: Optical coherence tomography (OCT) and OCT angiography (OCTA) are widely used in the diagnosis of ophthalmic diseases. This study aims to provide a comprehensive bibliometric analysis of ophthalmologic OCT and OCT angiography. METHODS: We retrieved publications on ophthalmic OCT and OCTA from 2003 to 2022 from the Web of Science Core Collection and used bibliometric tools to analyze and visualize the distribution, trend, and hotspots. RESULTS: In total, 20,817 articles written by 48,160 authors from 106 countries were selected. The number of publications has significantly increased. In the last two decades, the USA was the most productive country and received the highest citations. The most productive journal was Investigative Ophthalmology and Visual Science and received the highest number of citations. Moorfields Eye Hospital was the most productive institution. Bandello F published the most papers, while Spaide RF was the highest cited author. SPAIDE RF, 2011, AM J Ophthalmology was the most cited document. "OCT", "glaucoma" and "OCTA" were three hotspots in the last two decades. "Vessel density" and "deep learning" would be research hotspots in the future. CONCLUSION: The bibliometric analysis of ophthalmic OCT and OCTA research over the past two decades on keywords, authors, citations, hotspots and trends will provide global researchers with valuable information for future research and cooperation.

[Ocular manifestations of rheumatic diseases]. / Glaznye proyavleniya revmaticheskikh zabolevanii.

Rheumatic diseases are a large group of conditions of various origins, predominantly systemic in nature, with persistent or transient joint syndrome and involvement of other organs and systems, including the eyes. Many rheumatic diseases are characterized by specific types of ocular inflammation, which manifests through its localization, symmetry, and clinical features.

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.

INTRODUCTION: Seamless interoperability of ophthalmic clinical data is beneficial for improving patient care and advancing research through the integration of data from various sources. Such consolidation increases the amount of data available, leading to more robust statistical analyses, and improving the accuracy and reliability of artificial intelligence models. However, the lack of consistent, harmonized data formats and meanings (syntactic and semantic interoperability) poses a significant challenge in sharing ophthalmic data. METHODS: The Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR), a standard for the exchange of healthcare data, emerges as a promising solution. To facilitate cross-site data exchange in research, the German Medical Informatics Initiative (MII) has developed a core data set (CDS) based on FHIR. RESULTS: This work investigates the suitability of the MII CDS specifications for exchanging ophthalmic clinical data necessary to train and validate a specific machine learning model designed for predicting visual acuity. In interdisciplinary collaborations, we identified and categorized the required ophthalmic clinical data and explored the possibility of its mapping to FHIR using the MII CDS specifications. DISCUSSION: We found that the current FHIR MII CDS specifications do not completely accommodate the ophthalmic clinical data we investigated, indicating that the creation of an extension module is essential.

Ocular manifestations and treatment progress of Crouzon syndrome.

PURPOSE: Crouzon syndrome is a congenital genetic disease caused by mutations of the FGFR2 gene on chromosome 10. It is usually inherited in an autosomal dominant pattern and is one of the most common types of craniosynostosis syndromes. This article focuses on the ophthalmology-related aspects of Crouzon syndrome in order to help diagnose and develop personalized treatment plans. METHODS: A combined systematic search of PubMed electronic database by using Boolean operators AND and OR was conducted, choosing the following keywords: "Crouzon", "craniosynostosis", " eye ", " oculus ", " ocular ", " ophthalmic ", " ophthalmologic ", " ophthalmology ", " globe ", " orbit ", " exophthalmos ", " exorbitism ", " keratopathy ", " visual " etc. After the initial screening of these articles, repetitive literatures were excluded. RESULTS: 47 articles were selected. This article introduces the ocular manifestations, possible pathogenesis and treatment progress in Crouzon syndrome. CONCLUSIONS: The incidence of ocular abnormalities in Crouzon syndrome is very high, such as shallow orbits, exophthalmos, hypertelorism, exposure keratopathy, strabismus, optic neuropathy, ametropia, glaucoma, etc. The pathogenesis of these ocular abnormalities is related to orbital deformities. Most of the treatments are aimed at compensating the abnormal anatomic structure at present.

Impact of COVID-19 pandemic on ocular disease: KNHANES 2015-2021.

The aim of this study was to evaluate the impact of COVID-19 on ocular diseases and changes in risk factors before and after the COVID-19 pandemic. This study was conducted using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2015-2021, a national cross-sectional health examination and survey. Associations between ocular diseases and risk factors were determined using the chi-squared test and logistic regression analysis. Bivariable adjusted logistic regression analysis was performed to examine the odds ratio (OR) and 95% confidence interval (CI) to evaluate of the impact of COVID-19 on ocular diseases. Individuals were divided into two age groups (< 60 and ≥ 60 years). A total of 50,158 people were diagnosed, of whom 7270 were diagnosed with cataract, 921 with glaucoma, and 439 with age-related macular degeneration (AMD). Risk factors for cataract were COVID-19 pandemic (OR 1.161), hypertension (OR 1.608), diabetes (OR 1.573), dyslipidemia (OR 1.167), stroke (OR 1.272), and depression (OR 1.567). Risk factors for AMD were COVID-19 pandemic (OR 1.600), dyslipidemia (OR 1.610), and depression (OR 1.466). Risk factors for glaucoma were hypertension (OR 1.234), dyslipidemia (OR 1.529), diabetes (OR 1.323), and depression (OR 1.830). The COVID-19 pandemic was a risk factor for cataracts and AMD, but not for glaucoma. Cataracts and AMD may be more influenced by the acquired health conditions or the environment.

Management of COVID-19 in Ophthalmology.

From its outbreak in early 2020, the new SARS-CoV-2 infection has deeply affected the entire eye care system for several reasons. Since the beginning of the COVID-19 pandemic, ophthalmologists were among the "high-risk category" for contracting the SARS-CoV-2 infection based on the notion that the eye was suspected to be a site of inoculation, infection, and transmission. Clinical ophthalmologists have been required to learn and promptly recognize the ocular manifestations associated with the COVID-19 disease, with its treatments and vaccinations. Restriction measures, lockdown periods, guidelines to prevent SARS-CoV-2 infection transmission, and the use of telemedicine and artificial intelligence modalities have induced profound modifications. These changes, which are most likely to be irreversible, influence routine clinical practice, education, and research, thus giving rise to a "new ophthalmology in the COVID era". This book chapter aims to provide several notions regarding COVID-19 in ophthalmology, including the SARS-CoV-2 virus infection and transmission modalities; the ocular manifestation associated with the COVID-19 disease; the drugs and vaccines used for COVID-19; the precautions adopted in the ophthalmic practice to limit the spread of the virus; the consequences of the pandemic on the ophthalmic patients, clinicians, and the entire eye care system; and, the future of ophthalmology in the era of "COVID new normal".

[OCULAR DISEASES, FALLS AND HIP FRACTURES].

BACKGROUND: Falls occur among old people and sometimes cause fractures in the hip. There are many reasons for falls. OBJECTIVES: To examine which ocular diseases are frequent among old people who fell and had hip fractures; to verify whether the use of glasses can prevent fall events. METHODS: A survey was conducted on a sample of 100 patients, 63 women and 37 men, who fell and broke their hip between the years 2008 - 2012, were operated on and hospitalized for rehabilitation. Their mean age was 78+8.4 years old and mean weight, 69+14.4 kg. All these patients were examined by an ophthalmologist to detect ocular diseases. RESULTS: Only 67% of them suffered from ophthalmic disease. Among them, 49.3% suffered from problems in the anterior compartment of at least one eye, 32.8% in the posterior compartment and 17.9% in both compartments. The cataract was the most frequent disease (42%), and the second, was the retinopathy. We must mention that 77.6% of the patients who needed glasses were not using them at the time of the fall. The mean age of the patients who had no ocular disease was 4 years younger than the age of those who suffered from it (Independent t-test, p=0.0115 1-side). CONCLUSIONS: Treatment for optic diseases and the use of glasses are important factors in falls prevention among the elderly. DISCUSSION: Elderly people are more prone to fall and break their hip than younger people. Even though it was not statistically proved, disorders in visual acuity and in the visual field, can cause falls among old people.

Application of eye organoids in the study of eye diseases.

The eyes are one of the most important sensory organs in the human body. Currently, diseases such as limbal stem cell deficiency, cataract, retinitis pigmentosa and dry eye seriously threaten the quality of people's lives, and the treatment of advanced blinding eye disease and dry eye is ineffective and costly. Thus, new treatment modalities are urgently needed to improve patients' symptoms and suffering. In recent years, stem cell-derived three-dimensional structural organoids have been shown to mimic specific structures and functions similar to those of organs in the human body. Currently, 3D culture systems are used to construct organoids for different ocular growth and development models and ocular disease models to explore their physiological and pathological mechanisms. Eye organoids can also be used as a platform for drug screening. This paper reviews the latest research progress in regard to eye organoids (the cornea, lens, retina, lacrimal gland, and conjunctiva).

Running the enrollment numbers on ophthalmic clinical trials in the United States.

SIGNIFICANCE: This is one of the first reports to summarize the enrollment metrics for ophthalmology trials completed in the United States (US). PURPOSE: This study aimed to describe US ophthalmology clinical trial enrollment metrics to facilitate planning and budgeting of US Food and Drug Administration-regulated ophthalmological drugs trials. METHODS: A GlobalData PLC search was conducted on or before February 27, 2024, to evaluate the clinical trial landscape for completed ophthalmology clinical trials conducted in the US. The primary search contained only the term "ophthalmology," which was restricted to trials that were completed and were conducted within the US. Trials were classified as multicenter when trials included three sites or more, and when the enrollment search resulted in ≥30 multicenter trials for an individual indication, enrollment data were further broken down by Food and Drug Administration trial phase. RESULT: The search yielded 2229 trials, which analyzed 980 different drugs produced by 854 different sponsors. The most common indications evaluated in US trials were macular degeneration, glaucoma, macular edema, allergies, and keratoconjunctivitis. Multicenter trials by indication had an overall median enrollment period range of 4.8 to 35.1 months; number of subjects enrollment, range of 36 to 518 subjects; number of sites utilized, range of 4 to 74 sites; and enrollment rate, range of 0.11 to 4.04 subjects/sites per month. There were 17 indications with ≥30 multicenter trials, which allowed for enrollment metric calculation by trial phase. CONCLUSIONS: This study provides sponsors with an understanding of the number of subjects and sites needed to complete a trial while also setting realistic enrollment timelines. Although this work represents the US market, more work is needed to better understand other countries given that country-specific guidelines and subject beliefs may impact enrollment metrics.

[Effectiveness of the Eye Care Protocol in the Intensive Care Unit Patients: A Randomized Controlled Trial].

PURPOSE: This study investigated the effects of an eye care protocol (ECP) on patients in the intensive care unit (ICU). METHODS: This study utilized a randomized controlled design. Participants were patients who met the inclusion criteria and were admitted to the ICU (36 in the experimental group and 38 in the control group). The experimental group received an ECP, while the control group received standard eye care, starting the day after admission, for a duration of 10 days. The ECP classifies the degree of eyelid obstruction into three stages based on the degree of exposure to the lower eyelid conjunctiva and cornea. The protocol included cleansing with normal saline gauze, administering eye drops, applying silicone and polyurethane films, and recommending consultation with an ophthalmologist if necessary. The effectiveness of ECP was assessed by analyzing tear volume, hyperemia, chemosis, and eye discharge. Data analysis was conducted using SPSS 27.0, employing the Mann-Whitney U-test and generalized estimating equations. RESULTS: On day 5, the experimental group demonstrated a significant increase in tear volume in both eyes compared with the control group. However, no statistically significant differences were observed in the incidence of hyperemia, chemosis, and eye discharge on days 5 and 10 of the intervention. CONCLUSION: The application of the ECP in this study increased tear volume in ICU patients, thereby reducing discomfort caused by dry eyes. It has the potential to prevent complications such as damage to the surface of the eyeball resulting from decreased tear volume.

Understanding Health Care Disparities Based on Medicare Use for Inflammatory and Infectious Eye Diseases.

Purpose: Inflammatory and infectious eye diseases are an important cause of visual impairment in patients older than 65 years of age. Health care disparities for eye care are present for general eye care. However, there is lack of national data on health disparities regarding eye care use for inflammatory and infectious eye diseases. Our study examines the effect of gender and race on eye care in patients with inflammatory and infectious eye diseases who are equal or greater than 65 years of age. Methods: We have used Medicare data to examine the effect gender and race on use of eye care services in patients with inflammatory and infectious eye diseases for 2014 to 2018. Medicare is a national insurance program administered by the government of United States to insure people age 65 years or older. Owing to its high enrollment, those in Medicare are representative of the U.S. population aged 65 and older. Results: We found that females have higher use for Medicare for inflammatory and infectious eye diseases across all races from 2014 to 2018. On examining the effect of race, African Americans have lower use as compared with Whites. People of Asian descent have the highest use, followed by Hispanic people. Conclusions: Health care disparities exist for eye care use for inflammatory and infectious eye diseases for patients 65 years of age and older. Future studies are required to address these disparities to provide equitable eye care. Translational Relevance: Identification of eye care disparities is the first step to addressing these disparities.

Corneal application of SOCS1/3 peptides for the treatment of eye diseases mediated by inflammation and oxidative stress.

Several blinding diseases affecting the retina and optic nerve are exacerbated by or caused by dysregulated inflammation and oxidative stress. These diseases include uveitis, age related macular degeneration, diabetic retinopathy and glaucoma. Consequently, despite their divergent symptoms, treatments that reduce oxidative stress and suppress inflammation may be therapeutic. The production of inflammatory cytokines and their activities are regulated by a class of proteins termed Suppressors of Cytokine Signaling (SOCS). SOCS1 and SOCS3 are known to dampen signaling via pathways employing Janus kinases and signal transducer and activator of transcription proteins (JAK/STAT), Toll-like Receptors (TLR), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), mitogen activated kinase (MAPK) and NLR family pyrin domain containing 3 (NLRP3). We have developed cell-penetrating peptides from the kinase inhibitory region of the SOCS1 and SOCS3 (denoted as R9-SOCS1-KIR and R9-SOCS3-KIR) and tested them in retinal pigment epithelium (RPE) cells and in macrophage cell lines. SOCS-KIR peptides exhibited anti-inflammatory, anti-oxidant and anti-angiogenic properties. In cell culture, both Th1 and Th17 cells were suppressed together with the inhibition of other inflammatory markers. We also observed a decrease in oxidants and a simultaneous rise in neuroprotective and anti-oxidant effectors. In addition, treatment prevented the loss of gap junction proteins and the ensuing drop in transepithelial electrical resistance in RPE cells. When tested in mouse models by eye drop instillation, they showed protection against autoimmune uveitis, as a prophylactic as well as a therapeutic. Mice with endotoxin-induced uveitis were protected by eye drop administration as well. R9-SOCS3-KIR was particularly effective against the pathways acting through STAT3, e.g. IL-6 and VEGF-A mediated responses that lead to macular degeneration. Eye drop administration of R9-SOCS3-KIR stimulated production of antioxidant effectors and reduced clinical symptoms in mouse model of oxidative stress that replicates the RPE injury occurring in AMD. Because these peptides suppress multiple pathogenic stimuli and because they can be delivered topically to the cornea, they are attractive candidates for therapeutics for uveitis, macular degeneration, diabetic retinopathy and glaucoma.

Integrative therapeutics for ocular surface disorders.

PURPOSE OF REVIEW: Integrative medicine techniques are increasingly accepted into the treatment paradigm for many chronic disorders including eye disease. Over 71% of patients, including 67% of those with eye disorders, use some form of Integrative therapy. Physicians should be well versed in evidence-based therapies to know how to refer patients for the best complimentary care. We highlight the most effective integrative therapeutics from different complementary treatment paradigms to offer a framework for approaching therapy in patients with ocular surface disorders (OSDs). RECENT FINDINGS: Lifestyle and behavioral modifications help a proportion of people with OSDs like dry eye disease and allergic conjunctivitis, which are interrelated disorders. Nutrition and supplementation can also play a role in addressing underlying inflammation and improving OSD symptoms. Acupuncture and traditional herbal medicine may also benefit some patients. New technologies offer innovative treatment pathways in the treatment of OSD but require referral to Ocular Surface Treatment Centers. SUMMARY: Integrative treatment approach for OSD incorporates allopathic medicine, traditional remedies and lifestyle behavioral interventions, Ayurveda and herbal medicine, Nutritional Supplements, Homeopathy, Acupuncture and Chinese Medicine. New cutting-edge technologies offer breakthroughs in difficult to treat ocular surface cases. Collaboration between allergy or otolaryngology offices, complementary practitioners, as well as optometrists and ophthalmologists in Ocular Surface Treatment Centers can offer patients new avenues of treatment.

Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.

IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess children's eye conditions from mobile photographs could facilitate convenient and early identification of eye disorders in a home setting. OBJECTIVE: To develop an AI model to identify myopia, strabismus, and ptosis using mobile photographs. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study was conducted at the Department of Ophthalmology of Shanghai Ninth People's Hospital from October 1, 2022, to September 30, 2023, and included children who were diagnosed with myopia, strabismus, or ptosis. MAIN OUTCOMES AND MEASURES: A deep learning-based model was developed to identify myopia, strabismus, and ptosis. The performance of the model was assessed using sensitivity, specificity, accuracy, the area under the curve (AUC), positive predictive values (PPV), negative predictive values (NPV), positive likelihood ratios (P-LR), negative likelihood ratios (N-LR), and the F1-score. GradCAM++ was utilized to visually and analytically assess the impact of each region on the model. A sex subgroup analysis and an age subgroup analysis were performed to validate the model's generalizability. RESULTS: A total of 1419 images obtained from 476 patients (225 female [47.27%]; 299 [62.82%] aged between 6 and 12 years) were used to build the model. Among them, 946 monocular images were used to identify myopia and ptosis, and 473 binocular images were used to identify strabismus. The model demonstrated good sensitivity in detecting myopia (0.84 [95% CI, 0.82-0.87]), strabismus (0.73 [95% CI, 0.70-0.77]), and ptosis (0.85 [95% CI, 0.82-0.87]). The model showed comparable performance in identifying eye disorders in both female and male children during sex subgroup analysis. There were differences in identifying eye disorders among different age subgroups. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, the AI model demonstrated strong performance in accurately identifying myopia, strabismus, and ptosis using only smartphone images. These results suggest that such a model could facilitate the early detection of pediatric eye diseases in a convenient manner at home.