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Immunoglobulin A nephropathy (IgAN) is a rare but important systemic disease with or without ocular manifestations. We describe 4 cases of IgAN presenting with scleritis and review the various ocular manifestations in patients with IgAN. We found 55 cases with ocular manifestations in patients with prior or newly-diagnosed IgAN described in 38 publications. The most common ocular manifestations of IgAN were episcleritis (23.6%), scleritis (16.4%), hypertensive retinopathy or retinal vasculopathy (20.0%), and uveitis (14.5%). The median age at presentation was 36.5 years, with 54.5% female patients. 61.8% had history of IgAN prior to ocular involvement, while 29.1% had ocular presentations as the first manifestation of IgAN. The majority received systemic corticosteroids and/or immunosuppressants. Additionally, we report 4 women with anterior scleritis and previous diagnosis of IgAN. All 4 were treated with topical and systemic corticosteroids. Three out of 4 patients had no recurrence for at least 1 year since the first presentation. IgAN is a rare but important systemic association to be considered in ocular inflammatory conditions. Timely recognition and comanagement of the disease with nephrologist could reduce disease morbidity.

The pathogenesis of human leukocyte antigen (HLA)-B27-associated diseases such as acute anterior uveitis (AAU) and ankylosing spondylitis (AS) remains poorly understood, though Gram-negative bacteria and subclinical bowel inflammation are strongly implicated. Accumulating evidence from animal models and clinical studies supports several hypotheses, including HLA-B27-dependent dysbiosis, altered intestinal permeability, and molecular mimicry. However, the existing literature is hampered by inadequate studies designed to establish causation or uncover the role of viruses and fungi. Moreover, the unique disease model afforded by AAU to study the gut microbiota has been neglected. This review critically evaluates the current literature and prevailing hypotheses on the link between the gut microbiota and HLA-B27-associated disease. We propose a new potential role for HLA-B27-driven altered antibody responses to gut microbiota in disease pathogenesis and outline recommendations for future well-controlled human studies, focusing on AAU.

Purpose The purpose of this study was to report a case of infective necrotizing scleritis following XEN Gel Stent with mitomycin-C. Methods Case report. This is a case report of a 68-year-old woman. Results XEN Gel Stent glaucoma surgery enhanced with mitomycin-C 0.04% and combined with cataract surgery was performed at a regional center to manage the patient's primary open-angle glaucoma. Past medical history was significant for rheumatoid arthritis requiring treatment with methotrexate and adalimumab. Periocular pain and swelling developed 14 months after the initial operation, followed by a rapid deterioration of visual acuity to 20/60, intraocular pressure of 4 mm Hg, and worsening pain 5 months later. On initial presentation to Sydney Eye Hospital, 180 degrees of scleral necrosis was evident with a moderate anterior segment inflammatory reaction and a large temporal choroidal effusion due to hypotony. Empirical hourly topical ofloxacin and cephalothin 5% drops, with oral moxifloxacin, were initiated. Conjunctival swab grew Staphylococcus aureus and Staphylococcus lugdunensis. Significant clinical improvement occurred, but the XEN Gel Stent became exposed after 9 days of treatment with worsening hypotony. Urgent surgical revision was performed to remove the XEN Gel Stent and apply a tutoplast plug with overlying amniotic membrane graft. Intraocular pressure gradually improved over 6 weeks to 15 mm Hg with reversal of hypotonous changes, and visual acuity stabilized at 20/40. Conclusions To our knowledge, this is the first reported case of necrotizing scleritis following XEN Gel Stent insertion. It is a reminder that infection should always be the primary differential diagnosis in patients with surgical-induced necrotizing scleritis.

Supplemental Digital Content is Available in the Text. The largest case series to date describing uveitis occurring secondary to systemic treatments for malignant melanoma. Twenty-two cases are described. Uveitis occurred after treatment with checkpoint, BRAF, and mitogen-activated protein kinase inhibitors., Background/Purpose: To report the largest case series to date of uveitis occurring in association with immunomodulatory therapy for malignant melanoma. Methods: A retrospective multicenter case review. Twenty-two patients with uveitis occurring in association with either immunotherapy or targeted immune therapy for malignant melanoma were identified. Results: Of 22 patients, 11 had anterior uveitis in isolation. The remainder showed a variety of clinical features including panuveitis, ocular hypotony, papillitis, cystoid macular edema, and melanoma-associated retinopathy. Most patients responded well to treatment. Conclusion: We report the largest case series to date of patients with uveitis secondary to drug treatment for malignant melanoma. These cases are likely to increase in number in the future as newer immunomodulatory therapies for cancers are developed and the indications for these drugs increase. A dilemma arises when patients respond well to these drugs but develop vision-threatening side effects.

Background Despite recent incentives through Medicare (Australia’s universal health insurance scheme) to increase retinal screening rates in primary care, comprehensive diabetic retinopathy (DR) screening has not been reached in Australia. The current study aimed to identify key factors affecting the delivery of diabetic retinopathy (DR) screening in Australian general practices. Methods A descriptive qualitative study involving in-depth interviews was carried out from November 2019 to March 2020. Using purposive snowballing sampling, 15 general practitioners (GPs) were recruited from urban and rural general practices in New South Wales and Western Australia. A semi-structured interview guide was used to collect data from participants. All interviews were conducted over the phone by one facilitator, and each interview lasted up to 45 min. The Socio-Ecological Model was used to inform the content of the interview topic guides and subsequent data analysis. Recorded data were transcribed verbatim, and thematic analysis was conducted to identify and classify recurrent themes. Results Of 15 GPs interviewed, 13 were male doctors, and the mean age was 54.7 ± 15.5 years. Seven participants were practising in urban areas, while eight were practising in regional or remote areas. All participants had access to a direct ophthalmoscope, but none owned retinal cameras. None of the participants reported performing DR screening. Only three participants were aware of the Medicare Benefits Schedule (MBS) items 12,325 and 12,326 that allow GPs to bill for retinal screening. Seven themes, a combination of facilitators and barriers, emerged from interviews with the GPs. Despite the strong belief in their role in managing chronic diseases, barriers such as costs of retinal cameras, time constraints, lack of skills to make DR diagnosis, and unawareness of Medicare incentives for non-mydriatic retinal photography made it difficult to conduct DR screening in general practice. However, several enabling strategies to deliver DR screening within primary care include increasing GPs’ access to continuing professional development, subsidising the cost of retinal cameras, and the need for a champion ace to take the responsibility of retinal photography. Conclusion This study identified essential areas at the system level that require addressing to promote the broader implementation of DR screening, in particular, a nationwide awareness campaign to maximise the use of MBS items, improve GPs’ competency, and subsidise costs of the retinal cameras for small and rural general practices.

The delivery of platforms that can provide access to good quality analytical information on the chemical/biological status of water at an acceptable cost remains a formidable challenge, despite considerable efforts from the research community over many years. The relatively high cost of autonomous analytical platforms means that measurement frequency and density is much lower than desirable, and this in turn is a significant barrier to developing a clearer understanding of environmental status, processes and dynamics, and to the effective policing of environmental regulation. However, recent advances in satellite remote sensing and drone based measurements present opportunities to capture water status data with unprecedented spatial and temporal coverage. The availability of autonomous instruments that provide continuous in-situ data provides complementary information that in a sense completes the requirements for a more complete environmental informatics coverage in that these devices can provide molecular information on related to key determinants of water chemical and biological status. In this paper, I will outline the challenges that have up to now inhibited the emergence of these low-cost, reliable, autonomous biochemical analysers, and explain how developments in rapid prototyping, microfluidics and detection schemes will provide routes to surmounting these challenges. Furthermore, I will discuss how coupling in-situ sensing with satellite remote sensing will, in many instances, reduce the density requirement on in-situ sensors for tracking and modelling water chemistry dynamics.

Cataract surgery is a safe, effective and common elective procedure in Australia but access is inequitable. True waiting times for cataract care are undisclosed or inconsistently reported by governments. Estimates of true waiting times range from 4 to 30 months and have been extended during the coronavirus disease 2019 (COVID-19) pandemic. Comparative analysis revealed that reducing waiting periods from 12 to 3 months would result in estimated public health system cost savings of $6.6 million by preventing 50 679 falls. Investment in public cataract services to address current unmet needs would prevent avoidable vision impairment and associated negative consequences.

Purpose To determine classification criteria for Fuchs uveitis syndrome. Design Machine learning of cases with Fuchs uveitis syndrome and 8 other anterior uveitides. Methods Cases of anterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the anterior uveitides. The resulting criteria were evaluated on the validation set. Results One thousand eighty-three cases of anterior uveitides, including 146 cases of Fuchs uveitis syndrome, were evaluated by machine learning. The overall accuracy for anterior uveitides was 97.5% in the training set and 96.7% in the validation set (95% confidence interval 92.4, 98.6). Key criteria for Fuchs uveitis syndrome included unilateral anterior uveitis with or without vitritis and either: 1) heterochromia or 2) unilateral diffuse iris atrophy and stellate keratic precipitates. The overall accuracy for anterior uveitides was 97.5% in the training set (95% confidence interval [CI] 96.3, 98.4) and 96.7% in the validation set (95% CI 92.4, 98.6). The misclassification rates for FUS were 4.7% in the training set and 5.5% in the validation set, respectively. Conclusions The criteria for Fuchs uveitis syndrome had a low misclassification rate and appeared to perform well enough for use in clinical and translational research.

Purpose To determine classification criteria for Vogt-Koyanagi-Harada (VKH) disease Design Machine learning of cases with VKH disease and 5 other panuveitides. Methods Cases of panuveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the panuveitides. The resulting criteria were evaluated on the validation set. Results One thousand twelve cases of panuveitides, including 156 cases of early-stage VKH and 103 cases of late-stage VKH, were evaluated. Overall accuracy for panuveitides was 96.3% in the training set and 94.0% in the validation set (95% confidence interval 89.0, 96.8). Key criteria for early-stage VKH included: 1) exudative retinal detachment with characteristic appearance on fluorescein angiogram or optical coherence tomography or 2) panuveitis with ≥2 of 5 neurologic symptoms/signs. Key criteria for late-stage VKH included history of early-stage VKH and either: 1) sunset glow fundus or 2) uveitis and ≥1 of 3 cutaneous signs. The misclassification rates in the learning and validation sets for early-stage VKH were 8.0% and 7.7%, respectively, and for late-stage VKH 1.0% and 12%, respectively. Conclusions The criteria for VKH had a reasonably low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Purpose To determine classification criteria for juvenile idiopathic arthritis (JIA)-associated chronic anterior uveitis (CAU). Design Machine learning of cases with JIA CAU and 8 other anterior uveitides. Methods Cases of anterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the anterior uveitides. The resulting criteria were evaluated on the validation set. Results One thousand eighty-three cases of anterior uveitides, including 202 cases of JIA CAU, were evaluated by machine learning. The overall accuracy for anterior uveitides was 97.5% in the training set and 96.7% in the validation set (95% confidence interval 92.4, 98.6). Key criteria for JIA CAU included 1) chronic anterior uveitis (or if newly diagnosed insidious onset) and 2) JIA, except for the systemic, rheumatoid factor-positive polyarthritis, and enthesitis related arthritis variants. The misclassification rates for JIA CAU were 2.4% in the training set and 0% in the validation set, respectively. Conclusions The criteria for JIA CAU had a low misclassification rate and appeared to perform well enough for use in clinical and translational research.

Hong The Nguyen,1,2 Ngoc Dong Pham,3 Tung Quoc Mai,2 Hang Thi Thuy Do,3 Duong Thi Nga Nguyen,3 Peter McCluskey,4 Trong Van Pham2 1Department of Ophthalmology, 108 Military Central Hospital, Hanoi, Vietnam; 2Department of Ophthalmology, Hanoi Medical University, Hanoi, Vietnam; 3Department of Cornea, Vietnam National Eye Hospital, Hanoi, Vietnam; 4Department of Ophthalmology, University of Sydney, Sydney, NSW, AustraliaCorrespondence: Tung Quoc MaiDepartment of Ophthalmology, Hanoi Medical University, 1 Ton That Tung Street, Hanoi, 100000, VietnamTel +84 915644181Email maiquoctung@hmu.edu.vnPurpose: To evaluate the result of tectonic deep anterior lamellar keratoplasty (DALK) for keratitis with perforation and descemetocele.Patients and Methods: A prospective clinical study of 36 patients (36 eyes) treated with tectonic DALK for corneal perforation or descemetocele from microbial keratitis managed at the Vietnam National Eye Hospital over a two-year period. The surgical technique was manual lamellar dissection. The grafts were harvested from the anterior corneal cap of pre-cut donor tissues used for DSAEK or donor corneas with a low endothelial cell count.Results: A mean age was 55.36 ± 13.98 years (ranged from 25 to 75 years). Female gender represented 52%. causative agents were herpes simplex virus (58.3%), bacteria (22.2%), fungi (13.9%) and microsporidia (5.6%). There were 24 eyes with descemetocele (66.7%) and 12 with perforation (33.3%). There were 33 successful cases (91.7%) and 3 failed cases (8.3%). Best corrected visual acuity (BCVA) improved in 28 eyes (84.8%). The range of post-operative BCVA was from hand motions to 20/70. Eleven eyes (33.3%) attained vision 20/200 and higher. Clear graft was obtained in 15 eyes (45.5%), while mild or severe graft opacity was observed in 14 eyes (42.4%), and 4 eyes (12.1%), respectively. Surgical complications included descemet rupture (20.8%), pseudo anterior chamber (41.6%), persistent corneal epithelial defects (8.3%), reinfection (11.1%), glaucoma or ocular hypertension (5.6%) and cataract (8.3%).Conclusion: The study demonstrates that DALK is an effective procedure to treat corneal descemetocele, especially when an urgent penetrating keratoplasty (PKP) cannot be performed.Keywords: deep anterior lamellar keratoplasty, DALK, descemetocele, corneal perforation, corneal transplantation

Purpose To determine classification criteria for varicella zoster virus (VZV) anterior uveitis DESIGN: Machine learning of cases with VZV anterior uveitis and 8 other anterior uveitides. Methods Cases of anterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the anterior uveitides. The resulting criteria were evaluated on the validation set. Results One thousand eighty-three cases of anterior uveitides, including 123 cases of VZV anterior uveitis, were evaluated by machine learning. The overall accuracy for anterior uveitides was 97.5% in the training set and 96.7% in the validation set (95% confidence interval 92.4, 98.6). Key criteria for VZV anterior uveitis included unilateral anterior uveitis with either 1) positive aqueous humor polymerase chain reaction assay for VZV; 2) sectoral iris atrophy in a patient ≥60 years of age; or 3) concurrent or recent dermatomal herpes zoster. The misclassification rates for VZV anterior uveitis were 0.9% in the training set and 0% in the validation set, respectively. Conclusions The criteria for VZV anterior uveitis had a low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Purpose To determine classification criteria for multifocal choroiditis with panuveitis (MFCPU) DESIGN: : Machine learning of cases with MFCPU and 8 other posterior uveitides. Methods Cases of posterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the posterior uveitides. The resulting criteria were evaluated on the validation set. Results One thousand sixty-eight cases of posterior uveitides, including 138 cases of MFCPU, were evaluated by machine learning. Key criteria for MFCPU included: 1) multifocal choroiditis with the predominant lesions size >125 µm in diameter; 2) lesions outside the posterior pole (with or without posterior involvement); and either 3) punched-out atrophic chorioretinal scars or 4) more than minimal mild anterior chamber and/or vitreous inflammation. Overall accuracy for posterior uveitides was 93.9% in the training set and 98.0% (95% confidence interval 94.3, 99.3) in the validation set. The misclassification rates for MFCPU were 15% in the training set and 0% in the validation set. Conclusions The criteria for MFCPU had a reasonably low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Purpose To determine classification criteria for Behcet disease uveitis. Design Machine learning of cases with Behcet disease and 5 other panuveitides. Methods Cases of panuveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the intermediate uveitides. The resulting criteria were evaluated on the validation set. Results One thousand twelve of cases panuveitides, including 194 cases of Behcet disease with uveitis, were evaluated by machine learning. The overall accuracy for panuveitides was 96.3% in the training set and 94.0% in the validation set (95% confidence interval 89.0, 96.8). Key criteria for Behcet disease uveitis were a diagnosis of Behcet disease using the International Study Group for Behcet Disease criteria and a compatible uveitis, including: 1) anterior uveitis; 2) anterior chamber and vitreous inflammation; 3) posterior uveitis with retinal vasculitis and/or focal infiltrates; or 4) panuveitis with retinal vasculitis and/or focal infiltrates. The misclassification rates for Behcet disease uveitis were 0.6 % in the training set and 0% in the validation set, respectively. Conclusions The criteria for Behcet disease uveitis had a low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Purpose To determine classification criteria for sarcoidosis-associated uveitis DESIGN: Machine learning of cases with sarcoid uveitis and 15 other uveitides. Methods Cases of anterior, intermediate, and panuveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were analyzed by anatomic class, and each class was split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training sets to determine a parsimonious set of criteria that minimized the misclassification rate among the intermediate uveitides. The resulting criteria were evaluated on the validation sets. Results One thousand eighty-three anterior uveitides, 589 intermediate uveitides, and 1012 panuveitides, including 278 cases of sarcoidosis-associated uveitis, were evaluated by machine learning. Key criteria for sarcoidosis-associated uveitis included a compatible uveitic syndrome of any anatomic class and evidence of sarcoidosis, either 1) a tissue biopsy demonstrating non-caseating granulomata or 2) bilateral hilar adenopathy on chest imaging. The overall accuracy of the diagnosis of sarcoidosis-associated uveitis in the validation set was 99.7% (95% confidence interval 98.8, 99.9).The misclassification rates for sarcoidosis-associated uveitis in the training sets were: anterior uveitis 3.2%, intermediate uveitis 2.6%, and panuveitis 1.2%; in the validation sets the misclassification rates were: anterior uveitis 0%, intermediate uveitis 0%, and panuveitis 0%, respectively. Conclusions The criteria for sarcoidosis-associated uveitis had a low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Purpose To determine classification criteria for birdshot chorioretinitis. Design Machine learning of cases with birdshot chorioretinitis and 8 other posterior uveitides. Methods Cases of posterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the infectious posterior/panuveitides. The resulting criteria were evaluated on the validation set. Results One thousand sixty-eight cases of posterior uveitides, including 207 cases of birdshot chorioretinitis, were evaluated by machine learning. Key criteria for birdshot chorioretinitis included a multifocal choroiditis with: 1) the characteristic appearance a bilateral multifocal choroiditis with cream-colored or yellow-orange, oval or round choroidal spots ("birdshot" spots); 2) absent to mild anterior chamber inflammation; and 3) absent to moderate vitreous inflammation; or multifocal choroiditis with positive HLA-A29 testing and either: 1) classic "birdshot spots" or 2) characteristic imaging on indocyanine green angiography. Overall accuracy for posterior uveitides was 93.9% in the training set and 98.0% (95% confidence interval 94.3, 99.3) in the validation set. The misclassification rates for birdshot chorioretinitis were 10% in the training set and 0% in the validation set. Conclusions The criteria for birdshot chorioretinitis had a low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Purpose Mer tyrosine kinase-retinitis pigmentosa (MERTK-RP) causes a primary defect in the retinal pigment epithelium, which subsequently affects rod and cone photoreceptors. The study aims to identify the most appropriate MERTK-RP biomarkers to measure disease progression for deciding the optimum therapeutic trial intervention time. Materials and methods Patients' data from baseline (BL) and last follow-up (LFU) were reviewed. Best corrected visual acuity (BCVA), spectral domain-optical coherence tomography (SD-OCT), ultra-widefield fundus autofluorescence (UWF-FAF) patterns, kinetic perimetry (KP), and electroretinography (ERG) parameters were analyzed. Results Five patients were included with the mean age of 17.7 ± 14.4 years old (6.7-42.3) at BL and mean BCVA follow-up of 8.4 ± 5.1 years. Mean BCVA at BL and LFU were 0.84 ± 0.86 LogMAR and 1.14 ± 0.86 LogMAR, respectively. The BCVA decline rate was 0.05 ± 0.03 LogMAR units/year. Ellipzoid zones (EZ) were measurable in eight eyes with mean BL length of 1293.75 ± 421.07 µm and reduction of 140.95 ± 69.28 µm/year and mean BL CMT of 174.2 ± 37.52 µm with the rate of 11.2 ± 12.77 µm declining/year. Full-field ERG (ffERG) and pattern ERG (pERG) were barely recordable. UWF-FAF showed central macular hyper-autofluorescence (hyperAF). KP (III4e and V4e) was normal in two eyes, restricted nasally in four eyes, superior wedge defect in two eyes and undetectable in two eyes. The four restricted nasally KPs became worse, while the others stayed almost unchanged. Conclusions This cohort showed early visual loss, moderately rapid EZ reduction and macular hyperAF. EZ, CMT, and BCVA were consistently reduced. Relative rapid decline in these biomarkers reflecting visual function suggests an early and narrow timespan for intervention.

The uveitides are a collection of over 30 diseases characterised by intraocular inflammation. Previous work demonstrated that the agreement among uveitis experts on diagnosis was modest at best with some pairs of experts having chance alone agreement on selected diseases. The Standardisation of Uveitis Nomenclature (SUN) is a17-year collaboration among experts in uveitis, ocular image grading, informatics, and machine learning to improve clinical and translational uveitis research. The SUN "Developing Classification Criteria for the Uveitides" project used a rigorous, multi-phase approach to develop classification criteria for 25 of the most common uveitic diseases. The project's phases were: (1) informatics; (2) case collection; (3) case selection; (4) machine learning; and (5) consensus review and publication. The results were classification criteria with a high degree of accuracy (93.3%-99.3% depending on anatomic class of the uveitis), the goal of which is to form the basis for future uveitis research.

A 66-years-old Vietnamese healthy female patient presented with prolonged severe right ocular pain and complete vision loss in that eye. Anterior segment assessment including gonioscopy identified angle-closure configuration. A suspected ciliary body melanoma was seen through the pupil. Posterior segment examination revealed a large tumor mass and 360° retinal detachment (kissing configuration). An ultrasound examination was consistent with a uveal tumor. The painful, blind right eye with a tumor mass was enucleated. Histopathology confirmed a type A uveal spindle cell melanoma associated with total serous retinal detachment without evidence of tumor necrosis, epithelioid cells, scleral, or optic nerve infiltration. There was no evidence of metastasis after 1-year of follow-up. It is critically important to differentiate primary and secondary angle closure, especially in cases with life-threatening ocular malignancy as uveal melanoma.

Topic An international, expert-led consensus initiative organized by the Collaborative Ocular Tuberculosis Study (COTS), along with the International Ocular Inflammation Society and the International Uveitis Study Group, systematically developed evidence- and experience-based recommendations for the treatment of tubercular choroiditis. Clinical relevance The diagnosis and management of tubercular uveitis (TBU) pose a significant challenge. Current guidelines and literature are insufficient to guide physicians regarding the initiation of antitubercular therapy (ATT) in patients with TBU. Methods An international expert steering subcommittee of the COTS group identified clinical questions and conducted a systematic review of the published literature on the use of ATT for tubercular choroiditis. Using an interactive online questionnaire, guided by background knowledge from published literature, 81 global experts (including ophthalmologists, pulmonologists, and infectious disease physicians) generated preliminary consensus statements for initiating ATT in tubercular choroiditis, using Oxford levels of medical evidence. In total, 162 statements were identified regarding when to initiate ATT in patients with tubercular serpiginous-like choroiditis, tuberculoma, and tubercular focal or multifocal choroiditis. The COTS group members met in November 2018 to refine these statements by a 2-step modified Delphi process. Results Seventy consensus statements addressed the initiation of ATT in the 3 subtypes of tubercular choroiditis, and in addition, 10 consensus statements were developed regarding the use of adjunctive therapy in tubercular choroiditis. Experts agreed on initiating ATT in tubercular choroiditis in the presence of positive results for any 1 of the positive immunologic tests along with radiologic features suggestive of tuberculosis. For tubercular serpiginous-like choroiditis and tuberculoma, positive results from even 1 positive immunologic test were considered sufficient to recommend ATT, even if there were no radiologic features suggestive of tuberculosis. Discussion Consensus guidelines were developed to guide the initiation of ATT in patients with tubercular choroiditis, based on the published literature, expert opinion, and practical experience, to bridge the gap between clinical need and available medical evidence.

Topic The Collaborative Ocular Tuberculosis Study (COTS), supported by the International Ocular Inflammation Society, International Uveitis Study Group, and Foster Ocular Immunological Society, set up an international, expert-led consensus project to develop evidence- and experience-based guidelines for the management of tubercular uveitis (TBU). Clinical Relevance The absence of international agreement on the use of antitubercular therapy (ATT) in patients with TBU contributes to a significant heterogeneity in the approach to the management of this condition. Methods Consensus statements for the initiation of ATT in TBU were generated using a 2-step modified Delphi technique. In Delphi step 1, a smart web-based survey based on background evidence from published literature was prepared to collect the opinion of 81 international experts on the use of ATT in different clinical scenarios. The survey included 324 questions related to tubercular anterior uveitis (TAU), tubercular intermediate uveitis (TIU), tubercular panuveitis (TPU), and tubercular retinal vasculitis (TRV) administered by the experts, after which the COTS group met in November 2019 for a systematic and critical discussion of the statements in accordance with the second round of the modified Delphi process. Results Forty-four consensus statements on the initiation of ATT in TAU, TIU, TPU, and TRV were obtained, based on ocular phenotypes suggestive of TBU and corroborative evidence of tuberculosis, provided by several combinations of immunologic and radiologic test results. Experts agreed on initiating ATT in recurrent TAU, TIU, TPU, and active TRV depending on the TB endemicity. In the presence of positive results for any 1 of the immunologic tests along with radiologic features suggestive of past evidence of tuberculosis infection. In patients with a first episode of TAU, consensus to initiate ATT was reached only if both immunologic and radiologic test results were positive. Discussion The COTS consensus guidelines were generated based on the evidence from published literature, specialists’ opinions, and logic construction to address the initiation of ATT in TBU. The guidelines also should inform public policy by adding specific types of TBU to the list of conditions that should be treated as tuberculosis.

Importance Australian- and New Zealand-based, uveitis-specialized ophthalmologists have produced recommendations for the management of juvenile idiopathic arthritis (JIA)-type chronic anterior uveitis. Background Historically, the visual prognosis of JIA-type chronic anterior uveitis has been poor. New medical advances are likely to improve outcomes, but recently published guidelines are tailored for ophthalmic care in Europe and the United States. Design This work involved a consensus survey and a panel meeting. Participants The Australian and New Zealand JIA-Uveitis Working Group (29 ophthalmologists) participated in the work. Methods The Delphi technique was used to achieve consensus. Main outcome measures This work yielded consensus statements. Results The Working Group achieved consensus around 18 statements related to clinical evaluation, use of topical and regional corticosteroids, use of systemic corticosteroid and non-corticosteroid immunomodulatory drugs, and management of secondary cataract and glaucoma in childhood JIA-type uveitis. Conclusions and relevance Recommendations of the Australian and New Zealand JIA-Uveitis Working Group provide current and regionally applicable advice for managing chronic anterior uveitis in children with JIA.

Objective To determine the prevalence of fundus pathology in metropolitan Australian EDs utilising a non-mydriatic fundus photography screening programme. Secondary objectives include diagnostic accuracy among emergency physicians compared to telehealth ophthalmologist review. Methods Prospective cross-sectional study investigating non-mydriatic fundus photography as a new diagnostic test in two tertiary Australian EDs. Consecutive adult patients were enrolled if they presented with headache, focal neurological deficit, visual disturbance or diastolic BP >120 mmHg. Diagnostic agreement was determined using kappa statistics and sensitivity and specificity using a reference standard consensus ophthalmology review. Results A total of 345 consecutive patients were enrolled among whom 56 (16%, 95% confidence interval [CI] 13-21) had urgent fundus pathology. Agreement between emergency physician and ophthalmic assessment of fundus photographs was 74% (kappa = 0.196, P = 0.001). Emergency physicians had 40% sensitivity (95% CI 27-54) and 82% specificity (95% CI 76-86) for detecting urgent pathology on photographs. Conclusions Fundus photography detects a clinically significant proportion of fundus pathology and urgent diagnoses. Telehealth specialist image review is important to detect some important, time-critical illnesses that can be missed in routine care. This offers an accurate alternative to direct ophthalmoscopy that warrants further research in Australian EDs.

AimsTo establish expert recommendations for the management of ocular sarcoidosis (OS).MethodsA question-based survey on the management of OS was circulated to international uveitis experts (members of the International Uveitis Study Group and the International Ocular Inflammation Society) electronically. Subsequently, a consensus workshop was conducted at the 7th International Workshop on Ocular Sarcoidosis (IWOS) in June 2019 in Sapporo, Japan as part of the Global Ocular Inflammation Workshops. Statements on the management of OS that were supported by a two-thirds majority of 10 international panel members of the workshop, after discussion and voting, were taken as consensus agreement.ResultsA total of 98 participants from 29 countries responded to the questionnaire survey. The subsequent consensus workshop established recommendations for the management of OS in five sections. The first section concerned evaluation and monitoring of inflammation. The second, third and fourth sections described ocular manifestations that were indications for treatment, and the management of anterior uveitis, intermediate uveitis and posterior uveitis. In the fifth section, the use of systemic corticosteroids and systemic immunosuppressive drugs were detailed.ConclusionsRecommendations for management of OS were formulated through an IWOS consensus workshop.

To report the clinical findings, anatomical features, and treatment outcomes in subjects with ocular tuberculosis (OTB) at 24 months in the Collaborative Ocular Tuberculosis Study (COTS)-1. Of the ...

There are multiple approaches to inhibit inflammatory molecules and pathways in noninfectious uveitis. The cornerstone of local and systemic anti-inflammatory treatment is corticosteroid therapy. Corticosteroids remain the most potent and efficacious drugs for treating intraocular inflammation. However, their long-term use is limited by their medium- and long-term side effects, which are a major concern. The approach taken to limit corticosteroid side effects is to introduce steroid-sparing agents that suppress the inflammatory pathways and immune response differently than corticosteroids. There are several classes of such drugs that are affordable, effective, and generally well-tolerated. Relatively recently, an increasing range of biologic agents has become available to treat intraocular inflammation. However, the relatively expensive cost of these therapies limits their use in the developing world. This systemic review aimst to discuss the use of corticosteroids and different immunosuppressive regimens in the management of various uveitides.

OBJECTIVE: To compare fall incidence, and visual acuity and refractive status, before surgery and after first and second eye cataract surgery. DESIGN, SETTING: Prospective observational study in eight tertiary referral ophthalmology clinics in public hospitals in Sydney, Melbourne, and Perth. PARTICIPANTS: People aged 65 years or more referred for bilateral age-related cataract surgery during 2013-16, followed for maximum of 24 months after study entry or until six months after second eye surgery, whichever was shorter. MAIN OUTCOME MEASURES: Primary outcome: age- and sex-adjusted incidence of falls. SECONDARY OUTCOMES: visual acuity and refractive error. RESULTS: The mean age of the 409 included participants was 75.4 years (SD, 5.4 years); 220 were women (54%). Age- and sex-adjusted fall incidence prior to surgery was 1.17 (95% CI, 0.95-1.43) per year, 0.81 (95% CI, 0.63-1.04) per year after first eye surgery, and 0.41 (95% CI, 0.29-0.57) per year after second eye surgery. For the 118 participants who underwent second eye surgery and participated in all follow-up visits, age- and sex-adjusted incidence before (0.80 [95% CI, 0.55-1.15] falls per year) and after first eye surgery (0.81 [95% CI, 0.57-1.15] falls per year) was similar, but was lower after second eye surgery (0.32 [95% CI 0.21-0.50] falls per year). Mean habitual binocular visual acuity (logMAR) was 0.32 (SD, 0.21) before surgery, 0.15 (SD, 0.17) after first eye surgery, and 0.07 (SD, 0.15) after second eye surgery. CONCLUSIONS: First eye surgery substantially improves vision in older people with cataract, but second eye surgery is required to minimise fall incidence. Timely cataract surgery for both eyes not only optimises vision in older people with cataract, but also reduces their risk of injury from falls.

To introduce the Collaborative Ocular Tuberculosis Study (COTS) Calculator, an online clinical scoring system for initiating antitubercular therapy (ATT) in patients with ocular tuberculosis (TB).The COTS Calculator was derived from COTS Consensus (COTS CON) data, which has previously published consensus guidelines. Using a two-step Delphi method, 81 experts evaluated 486 clinical scenario-based questions, ranking their likelihood of initiating ATT in each specific scenario. Each scenario was a permutation of the results and/or availability of five following components-clinical phenotype, endemicity, two immunological (tuberculin skin test, interferon-γ release assay) and one radiological (chest X-Ray) test results-and a sixth component further stratifying three of the clinical phenotypes. The median scores and interquartile ranges (IQR) of each scenario were tabulated, representing the expert consensus on whether to initiate ATT in that scenario. The consensus table was encoded to develop the COTS Calculator.The COTS Calculator can be accessed online at: https://www.oculartb.net/cots-calc . The attending physician can select the conditions present in the patient, which will generate a median score from 1 to 5. 114 out of 486 scenarios (24%) deliberated had a median score of 5 indicating expert consensus to initiate ATT.The COTS Calculator is an efficient, low-cost, evidence and experience-based clinical tool to guide ATT initiation. While it holds substantial promise in improving standard-of-care for ocular-TB patients, future validation studies can help to as certain its clinical utility and reliability.

BackgroundOcular toxoplasmosis is common across all regions of the world. Understanding of the epidemiology and approach to diagnosis and treatment have evolved recently. In November 2020, an international group of uveitis-specialised ophthalmologists formed the International Ocular Toxoplasmosis Study Group to define current practice.Methods192 Study Group members from 48 countries completed a 36-item survey on clinical features, use of investigations, indications for treatment, systemic and intravitreal treatment with antiparasitic drugs and corticosteroids, and approach to follow-up and preventive therapy.ResultsFor 77.1% of members, unilateral retinochoroiditis adjacent to a pigmented scar accounted for over 60% of presentations, but diverse atypical presentations were also reported. Common complications included persistent vitreous opacities, epiretinal membrane, cataract, and ocular hypertension or glaucoma. Most members used clinical examination with (56.8%) or without (35.9%) serology to diagnose typical disease but relied on intraocular fluid testing—usually PCR—in atypical cases (68.8%). 66.1% of members treated all non-pregnant patients, while 33.9% treated selected patients. Oral trimethoprim–sulfamethoxazole was first-line therapy for 66.7% of members, and 60.9% had experience using intravitreal clindamycin. Corticosteroid drugs were administered systemically by 97.4%; 24.7% also injected corticosteroid intravitreally, almost always in combination with an antimicrobial drug (72.3%). The majority of members followed up all (60.4%) or selected (35.9%) patients after resolution of acute disease, and prophylaxis against recurrence with trimethoprim–sulfamethoxazole was prescribed to selected patients by 69.8%.ConclusionOur report presents a current management approach for ocular toxoplasmosis, as practised by a large international group of uveitis-specialised ophthalmologists.

We present the first published case of successfully treated disseminated Aspergillus lentulus infection in a solid organ transplant recipient with invasive pulmonary disease, endophthalmitis, and a cerebral abscess. This case highlights important challenges associated with treating A. lentulus, particularly regarding antifungal resistance and toxicities associated with long-term antifungal therapy.

Ocular involvement is a rare manifestation of tuberculosis. Four key issues historically faced by clinicians when diagnosing and treating ocular tuberculosis - diagnostic uncertainty, naturally heterogeneous presentations, limitations of existing laboratory diagnostic tools, and non-uniform treatment guidelines - continue to test today's physicians. Unparalleled scientific and clinical developments over the past century have greatly expanded the knowledge surrounding this challenging ophthalmic condition. Experience with large volumes of cases at tuberculosis-endemic centres has led to recent growth in knowledge and physician experience, perhaps more so in developing countries. Looking forward, the role of diverse new technologies, including artificial intelligence and proteomics, will advance ocular tuberculosis research. Efforts have been made to address the lack of standardized nomenclature, diagnostic uncertainty, and unvalidated, geographically variable treatment guidelines.

ObjectivesBiologics are rapidly emerging as an effective vision saving addition to systemic uveitis therapy. The aim of this multicentre retrospective study is to review the outcomes of a large group of patients treated with adalimumab.MethodsA retrospective chart review of patients with refractory non-infectious, active uveitis treated with adalimumab was conducted. The main outcome measures were ability to reduce prednisolone dose, ability to control uveitis, final visual acuity and time to treatment failure.ResultsForty-six patients with uveitis, treated with adalimumab were included in the study. The most common anatomical uveitis phenotype was panuveitis (n=17, 37.0%). The most common diagnosis was idiopathic uveitis (n=19, 41.3%). At their latest review (mean: 4.46 years; median 4.40 years), 35 (76.1%) patients were able to discontinue corticosteroids, 11 (23.9%) patients were able to taper to ConclusionsThis study highlights the efficacy of adalimumab in patients with vision-threatening non-infectious uveitis, preserving vision and allowing reduction of corticosteroid dose.