1
|
Maccora I, Simonini G, Guly CM, Ramanan AV. Management of JIA associated uveitis. Best Pract Res Clin Rheumatol 2024; 38:101979. [PMID: 39048481 DOI: 10.1016/j.berh.2024.101979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/14/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024]
Abstract
Juvenile Idiopathic Arthritis (JIA) is the most common chronic rheumatic disease in childhood, and is associated with uveitis in up to 20-25% of cases. Typically, the uveitis is chronic, asymptomatic, non-granulomatous and anterior. For this reason, screening for uveitis is recommended to identify uveitis early and allow treatment to prevent sight-threatening complications. The management of JIA associated uveitis requires a multidisciplinary approach and a close collaboration between paediatric rheumatologist and ophthalmologist. Starting the appropriate treatment to control uveitis activity and prevent ocular complications is crucial. Current international recommendations advise a step-wise approach, starting with methotrexate and moving on to adalimumab if methotrexate alone is not sufficient to control the disease. If the uveitis remains active despite standard treatment other therapeutic options may be considered including anti-IL6 or other anti-TNF agents such as infliximab, although the evidence for these agents is limited.
Collapse
Affiliation(s)
- Ilaria Maccora
- NeuroFARBA Department, University of Florence, Florence, Italy; Rheumatology Unit, ERN ReCONNET Center, Meyer Children's Hospital IRCCS, Florence, Italy.
| | - Gabriele Simonini
- NeuroFARBA Department, University of Florence, Florence, Italy; Rheumatology Unit, ERN ReCONNET Center, Meyer Children's Hospital IRCCS, Florence, Italy.
| | - Catherine M Guly
- Bristol Eye Hospital, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
| | - Athimalaipet V Ramanan
- Department of Paediatric Rheumatology, Bristol Royal Hospital for Children, Bristol, UK; Translational Health Science, University of Bristol, Bristol, UK.
| |
Collapse
|
2
|
Pichi F, Neri P. Overview on automated OCT assessment of anterior chamber cells in uveitis. Int Ophthalmol 2024; 44:344. [PMID: 39122881 DOI: 10.1007/s10792-024-03273-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2024]
Affiliation(s)
- Francesco Pichi
- Eye Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Piergiorgio Neri
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
| |
Collapse
|
3
|
Patel RP, Petrushkin H, Etherton K, Terence K, Dick AD, Rahi JS, Solebo AL. Quality assessment of anterior segment OCT images: Development and validation of quality criteria. Photodiagnosis Photodyn Ther 2024; 45:103886. [PMID: 37952811 DOI: 10.1016/j.pdpdt.2023.103886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 10/27/2023] [Accepted: 11/03/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND The utility of medical imaging is dependant on image quality. We aimed to develop and validate quality criteria for ocular anterior segment optical coherence tomography (AS-OCT) images. METHODS We undertook a cross-sectional study using AS-OCT images from patients aged 6-16. A novel three-level grading system (good, limited or poor) was developed based on the presence of image artefact (categorised as lid, eyelash, cropping, glare, or movement artefact). Three independent experts graded 2825 images, with agreement assessed using confusion matrices and intraclass correlation coefficients (ICC) for each parameter. RESULTS There was very good inter-grader IQA agreement assessing image quality with ICC 0.85 (95 %CI: 0.84-0.87). The most commonly occurring artefact was eyelash artefact (1008/2825 images, 36 %). Graders labelled 621/2825 (22 %) images as good and 384 (14 %) as poor. There was complete agreement at either end of the confusion matrix with no 'good' images labelled as 'poor' by other graders, and vice versa. Similarly, there was very good agreement when assessing presence of lash (0.96,0.94-0.98), movement (0.97,0.96-0.99), glare (0.82,0.80-0.84) and cropping (0.90,0.88-0.92). CONCLUSIONS The novel image quality assessment criteria (IQAC) described here have good interobserver agreement overall, and excellent agreement on the differentiation between 'good' and 'poor' quality images. The large proportion of images graded as 'limited' suggests the need for refine this classification, using the specific IQAC features, for which we also report high interobserver agreement. These findings support the future potential for wider clinical and community care implementation of AS-OCT for the diagnosis and monitoring of ocular disease.
Collapse
Affiliation(s)
- Radhika Pooja Patel
- Imperial College London, United Kingdom; Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Harry Petrushkin
- Moorfields Eye Hospital, London, United Kingdom; Great Ormond Street Hospital, London, United Kingdom
| | | | - Katherine Terence
- Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Andrew D Dick
- UCL Institute of Ophthalmology, London, United Kingdom; Bristol University, Bristol, United Kingdom; NIHR Moorfields Biomedical Research Centre, London, United Kingdom
| | - Jugnoo S Rahi
- Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Moorfields Eye Hospital, London, United Kingdom; Great Ormond Street Hospital, London, United Kingdom; NIHR Great Ormond Street Hospital Biomedical Research, London, United Kingdom; UCL Institute of Ophthalmology, London, United Kingdom; NIHR Moorfields Biomedical Research Centre, London, United Kingdom; Ulverscroft Vision Research Group, London, United Kingdom
| | - Ameenat Lola Solebo
- Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Great Ormond Street Hospital, London, United Kingdom; NIHR Great Ormond Street Hospital Biomedical Research, London, United Kingdom; NIHR Moorfields Biomedical Research Centre, London, United Kingdom.
| |
Collapse
|
4
|
Oo HH, Mohan M, Song W, Rojas-Carabali W, Tsui E, de-la-Torre A, Cifuentes-González C, Rousselot A, Srinivas SP, Aslam T, Gupta V, Agrawal R. Anterior chamber inflammation grading methods: A critical review. Surv Ophthalmol 2023:S0039-6257(23)00135-2. [PMID: 37804869 DOI: 10.1016/j.survophthal.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/26/2023] [Accepted: 10/03/2023] [Indexed: 10/09/2023]
Abstract
Assessing anterior chamber inflammation is highly subjective and challenging. Although various grading systems attempt to offer objectivity and standardization, the clinical assessment has high interobserver variability. Traditional techniques, such as laser flare meter and fluorophotometry, are not widely used since they are time-consuming. With the development of optical coherence tomography with high sensitivity, direct imaging offers an excellent alternative to assess objectively inflammation with the potential for automated analysis. We describe various anterior chamber inflammation grading methods and discuss their utility, advantages, and disadvantages.
Collapse
Affiliation(s)
- Hnin Hnin Oo
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
| | - Madhuvanthi Mohan
- Medical Research Foundation, Sankara Nethralaya, Chennai, Tamil Nadu, India
| | - Wenjun Song
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
| | - William Rojas-Carabali
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Edmund Tsui
- Ocular Inflammatory Disease Center, UCLA Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Alejandra de-la-Torre
- Neuroscience (NEUROS) Research Group, Neurovitae Center for Neuroscience, Institute of Translational Medicine (IMT), Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia
| | - Carlos Cifuentes-González
- Neuroscience (NEUROS) Research Group, Neurovitae Center for Neuroscience, Institute of Translational Medicine (IMT), Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia
| | - Andres Rousselot
- Consultorios Oftalmológicos Benisek Ascarza, Capital Federal, Argentina
| | | | - Tariq Aslam
- School of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Vishali Gupta
- Department of Ophthalmology, Advanced Eye Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Rupesh Agrawal
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Singapore Eye Research Institute, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Duke NUS Medical School, Singapore, Singapore.
| |
Collapse
|
5
|
Maccora I, Marrani E, Pagnini I, Mastrolia MV, de Libero C, Caputo R, Simonini G. Challenges and management of childhood non-infectious chronic uveitis. Expert Rev Clin Immunol 2023; 19:599-611. [PMID: 36996498 DOI: 10.1080/1744666x.2023.2198210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Abstract
INTRODUCTION Childhood uveitis is a sight-threatening condition, because if not properly recognized and treated can lead to several ocular complications and blindness. It represents a real challenge not only from an etiologic/diagnostic point of view, but also for management and therapy. AREAS COVERED In this review we will discuss the main etiologies, the diagnostic approach, risk factors associated to childhood non-infectious uveitis (cNIU), and the difficulties in eye examination in childhood. Moreover, we will discuss the treatment of cNIU in term of therapeutic choice, timing of initiation and withdrawal. EXPERT OPINION Identification of specific diagnosis is mandatory to prevent severe complications, thus a thorough differential diagnosis is essential. Pediatric eye examination may be extremely challenging due to the scarce collaboration, but novel techniques and biomarkers will help in identify low grade of inflammation, eventually modify long-term outcomes. Once identified the appropriate diagnosis, recognition of children who may benefit of a systemic treatment is crucial. What, When and how long are the key questions to address in this field. Current evidence and future results of ongoing clinical trials will help in driving treatment. A proper ocular screening, not only in the context of systemic disease, should be discussed by experts.
Collapse
Affiliation(s)
- Ilaria Maccora
- Pediatric Rheumatology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- NeuroFARBA department, University of Florence, Florence, Italy
| | - Edoardo Marrani
- Pediatric Rheumatology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Ilaria Pagnini
- Pediatric Rheumatology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | | | | | - Roberto Caputo
- Ophthalmology Unit, Meyer Children's Hospital, Florence, Italy
| | - Gabriele Simonini
- Pediatric Rheumatology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- NeuroFARBA department, University of Florence, Florence, Italy
| |
Collapse
|
6
|
Solebo AL, Kellett S, Rahi J, Pattani R, Edelsten C, Dick AD, Denniston A. Development of a Nationally Agreed Core Clinical Dataset for Childhood Onset Uveitis. Front Pediatr 2022; 10:881398. [PMID: 35799695 PMCID: PMC9253543 DOI: 10.3389/fped.2022.881398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background Childhood onset uveitis comprises a group of rare inflammatory disorders characterized by clinical heterogeneity, chronicity, and uncertainties around long term outcomes. Standardized, detailed datasets with harmonized clinical definitions and terminology are needed to enable the clinical research necessary to stratify disease phenotype and interrogate the putative determinants of health outcomes. We aimed to develop a core routine clinical collection dataset for clinicians managing children with uveitis, suitable for multicenter and national clinical and experimental research initiatives. Methods Development of the dataset was undertaken in three phases: phase 1, a rapid review of published datasets used in clinical research studies; phase 2, a scoping review of disease or drug registries, national cohort studies and core outcome sets; and phase 3, a survey of members of a multicenter clinical network of specialists. Phases 1 and 2 provided candidates for a long list of variables for the dataset. In Phase 3, members of the UK's national network of stakeholder clinicians who manage childhood uveitis (the Pediatric Ocular Inflammation Group) were invited to select from this long-list their essential items for the core clinical dataset, to identify any omissions, and to support or revise the clinical definitions. Variables which met a threshold of at least 95% agreement were selected for inclusion in the core clinical dataset. Results The reviews identified 42 relevant studies, and 9 disease or drug registries. In total, 138 discrete items were identified as candidates for the long-list. Of the 41 specialists invited to take part in the survey, 31 responded (response rate 78%). The survey resulted in inclusion of 89 data items within the final core dataset: 81 items to be collected at the first visit, and 64 items at follow up visits. Discussion We report development of a novel consensus core clinical dataset for the routine collection of clinical data for children diagnosed with non-infectious uveitis. The development of the dataset will provide a standardized approach to data capture able to support observational clinical studies embedded within routine clinical care and electronic patient record capture. It will be validated through a national prospective cohort study, the Uveitis in childhood prospective national cohort study (UNICORNS).
Collapse
Affiliation(s)
- Ameenat Lola Solebo
- Population, Policy and Practice Programme, UCL GOS Institute of Child Health, London, United Kingdom
- National Institute for Health Research Biomedical Research Center at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
- Great Ormond Street Hospital for Children NHS Trust, London, United Kingdom
| | - Salomey Kellett
- Population, Policy and Practice Programme, UCL GOS Institute of Child Health, London, United Kingdom
| | - Jugnoo Rahi
- Population, Policy and Practice Programme, UCL GOS Institute of Child Health, London, United Kingdom
- National Institute for Health Research Biomedical Research Center at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
- Great Ormond Street Hospital for Children NHS Trust, London, United Kingdom
- Ulverscroft Vision Research Group, Institute of Child Health, University College London, London, United Kingdom
- National Institute for Health Research Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Reshma Pattani
- Great Ormond Street Hospital for Children NHS Trust, London, United Kingdom
| | - Clive Edelsten
- Great Ormond Street Hospital for Children NHS Trust, London, United Kingdom
| | - Andrew D. Dick
- National Institute for Health Research Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Bristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom
- Translational Health Sciences, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Alastair Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
- Academic Unit of Ophthalmology, Institute of Inflammation & Aging, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| |
Collapse
|
7
|
Tsui E, Chen JL, Jackson NJ, Leyva O, Rasheed H, Baghdasaryan E, Fung SS, McCurdy DK, Sadda SR, Holland GN. Quantification of Anterior Chamber Cells in Children with Uveitis Using Anterior Segment Optical Coherence Tomography. Am J Ophthalmol 2022; 241:254-261. [PMID: 35609675 DOI: 10.1016/j.ajo.2022.05.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 11/01/2022]
Abstract
PURPOSE To evaluate the feasibility of anterior segment optical coherence tomography (AS-OCT) for measuring anterior chamber (AC) cells in children with uveitis and to compare different AS-OCT acquisition modes. DESIGN Validity and reliability analysis. METHODS We enrolled children younger than 18 years of age who had uveitis involving the anterior segment and children without eye disease as controls. All underwent clinical grading of AC cells. AC images of each eye were obtained using the Optovue Avanti RTVue XR AS-OCT. Two acquisition modes were used: a single cross-sectional line scan and an 8-line radial scan in an asterisk pattern. Two independent, masked graders counted cells manually on AS-OCT images. Rater agreement was assessed using intraclass correlation (ICC). RESULTS Included were 30 children (59 eyes) with uveitis (median age 13.0 years, range 3-17 years) and 20 control children (40 eyes, median age 10.5 years, range 4-17 years). The number of eyes assigned each clinical grade of cells were as follows: none, 32 (54%); 0.5+, 12 (20.3%); 1+, 5 (8.5%); 2+, 8 (13.6%); 3+, 2 (3.4%). ICC of graders for line and radial scan protocols were 0.87 and 0.90. There was no significant difference between acquisition modes for pooled grader results (95% confidence interval [CI] for difference: -0.04 to 0.14). ICC of cell counts between line and radial scan protocols was 0.85 (95% CI: 0.69-0.90). No control eyes had cells on AS-OCT images. CONCLUSIONS Quantification of AC cell in children with uveitis is feasible with AS-OCT and has excellent reliability between different graders and acquisition modes.
Collapse
|
8
|
Etherton K, Rahi JS, Petrushkin H, Dick AD, Akbarali S, Pattani R, Hau S, Lacassagne S, Liu X, Denniston AK, Solebo AL. Quantitative and qualitative assessment of anterior segment optical coherence tomography capture of disease state in childhood anterior uveitis. Br J Ophthalmol 2022:bjophthalmol-2021-320448. [PMID: 35197261 DOI: 10.1136/bjophthalmol-2021-320448] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 02/06/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND/AIMS Anterior segment optical coherence tomography (AS-OCT) assessment of anterior chamber inflammation is an emerging tool. We describe the performance of AS-OCT in a paediatric population. METHODS A mixed-methods prospective study, using routine clinical assessment as reference standard, and AS-OCT, with Tomey CASIA2 or Heidelberg Spectralis HS1, as index test, with data collected on patient perceptions of imaging. Repeatability, diagnostic indices, responsiveness to clinical change and clinical correlations of imaging-based metrics (image cell count, size, density and brightness) were assessed, with construction of receiver operated characteristic curves. Exploratory thematic analysis of responses from families was undertaken. RESULTS A total of 90 children (180 eyes) underwent imaging. Bland Altman limits of agreement for CASIA2 repeatability ranged from +17 cells (95% CI 13.6 to 21.1) to -19 cells (95% CI -15.6 to -23.2) and HS1 from +1 (95% CI 0.9 to 1.2) to -1.0 (-1.2 to -0.8) cells. CASIA2 imaging had higher sensitivity of 0.92 (95% CI 0.78 to 0.97) vs HS1 imaging 0.17 (95% CI 0.07 to 0.34), with positive correlation between clinical grade and CASIA2 cell count (coefficient 12.8, p=0.02, 95% CI 2.2 to 23.4). Change in clinical grade at follow-up examinations correlated with change in image based 'cell' count (r2=0.79, p<0.001). Patients reported a potential positive impact of seeing their disease activity. CONCLUSION Our findings suggest that OCT-based imaging holds the promise of deeper understanding of disease, improved patient experience and more granular monitoring of activity with resultant improved outcomes, but further work is needed to refine acquisition and analysis protocols.
Collapse
Affiliation(s)
- Katie Etherton
- Optometry Department, Moorfields Eye Hospital NHS Trust, London, UK
| | - Jugnoo S Rahi
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
| | - Harry Petrushkin
- Uveitis and Scleritis Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK.,Rheumatology, Great Ormond Street Hospital for Children, London, UK
| | - Andrew D Dick
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and Institute of Ophthalmology, University College London, London, UK
| | - Saira Akbarali
- Rheumatology, Great Ormond Street Hospital for Children, London, UK
| | - Reshma Pattani
- Rheumatology, Great Ormond Street Hospital for Children, London, UK
| | - Scott Hau
- External Disease, Moorfields Eye Hospital, London, UK
| | | | - Xiaoxuan Liu
- Ophthalmology Department, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Alastair K Denniston
- Department of Ophthalmology, University Hospitals Birmingham NHSFT, Birmingham, UK
| | - Ameenat Lola Solebo
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
| |
Collapse
|
9
|
Maring M, Saraf SS, Blazes M, Sharma S, Srivastava S, Pepple KL, Lee CS. Grading Anterior Chamber Inflammation with Anterior Segment Optical Coherence Tomography: An Overview. Ocul Immunol Inflamm 2022; 30:357-363. [PMID: 35442873 PMCID: PMC9038027 DOI: 10.1080/09273948.2022.2028289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/01/2021] [Accepted: 11/23/2021] [Indexed: 10/18/2022]
Abstract
The objective grading of anterior chamber inflammation (ACI) has remained a challenge in the field of uveitis. While the grading criteria produced by the Standardization of Uveitis Nomenclature (SUN) International Workshop have been widely adopted, limitations exist including interobserver variability and grading confined to discrete categories rather than a continuous measurement. Since the earliest iterations of optical coherence tomography (OCT), ACI has been assessed using anterior segment OCT and shown to correlate with slit-lamp findings. However, widespread use of this approach has not been adopted. Barriers to standardization include variability in OCT devices across clinical settings, lack of standardization of image acquisition protocols, varying quantification methods, and the difficulty of distinguishing inflammatory cells from other cell types. Modern OCT devices and techniques in artificial intelligence show promise in expanding the clinical applicability of anterior segment OCT for the grading of ACI.
Collapse
Affiliation(s)
- Morgan Maring
- University of Southern California, Los Angeles, California, United States
| | - Steven S. Saraf
- Department of Ophthalmology, University of Washington, Seattle, Washington, United States
| | - Marian Blazes
- Department of Ophthalmology, University of Washington, Seattle, Washington, United States
| | - Sumit Sharma
- Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
| | - Sunil Srivastava
- Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
| | - Kathryn L. Pepple
- Department of Ophthalmology, University of Washington, Seattle, Washington, United States
| | - Cecilia S. Lee
- Department of Ophthalmology, University of Washington, Seattle, Washington, United States
| |
Collapse
|
10
|
Abstract
Childhood noninfectious uveitis leads to sight-threatening complications. Idiopathic chronic anterior uveitis and juvenile idiopathic arthritis-associated uveitis are most common. Inflammation arises from an immune response against antigens within the eye. Ophthalmic work-up evaluates anatomic involvement, disease activity, ocular complications, and disease course. Local and/or systemic glucocorticoids are initial treatment, but not as long-term sole therapy to avoid glucocorticoids-induced toxicity or persistent ocular inflammation. Children with recurrent, refractory, or severe disease require systemic immunosuppression with methotrexate and/or anti-tumor necrosis factor monoclonal antibody medications (adalimumab, infliximab). Goals of early detection and treatment are to optimize vision in childhood uveitis.
Collapse
Affiliation(s)
- Margaret H Chang
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Fegan 6, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Jessica G Shantha
- Department of Ophthalmology, Emory University, Emory Eye Center, 1365 Clifton Road, Clinic Building B, Atlanta, GA 30326, USA
| | - Jacob J Fondriest
- Department of Internal Medicine, Summa Health System, Internal Medicine Center, 55 Arch Street, Suite 1B, Akron, OH 44304, USA; Rush Eye Center, 1725 West Harrison Street, Suite 945, Chicago, IL 60612, USA
| | - Mindy S Lo
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Fegan 6, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Sheila T Angeles-Han
- Division of Rheumatology, Cincinnati Children's Hospital Medical Center, 3333 Burnett Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA; Division of Ophthalmology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Ophthalmology, University of Cincinnati, Cincinnati, OH, USA.
| |
Collapse
|
11
|
Diala FGI, McCarthy K, Chen JL, Tsui E. Multimodal imaging in pediatric uveitis. Ther Adv Ophthalmol 2021; 13:25158414211059244. [PMID: 34901748 PMCID: PMC8655435 DOI: 10.1177/25158414211059244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 10/25/2021] [Indexed: 11/17/2022] Open
Abstract
Pediatric uveitis accounts for up to 10% of all uveitis cases, so special attention must be paid to ensure early diagnosis as well as treatment and follow-up of these young patients in order to decrease the risk of possible ocular complications and consequently vision loss. Multimodal imaging has been an effective and important adjunct in the diagnoses and management of uveitis, especially in children. Reviewed here are the currently utilized modalities, advances, as well as their applications in juvenile idiopathic arthritis-associated uveitis, pars planitis, retinal vasculitis, tubulointerstitial nephritis and uveitis syndrome, Behçet disease, Blau syndrome, and Vogt-Koyanagi-Harada syndrome.
Collapse
Affiliation(s)
- Fitz Gerald I. Diala
- UCLA Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kayne McCarthy
- John A. Burns School of Medicine, University of Hawai’i at Ma¯noa, Honolulu, HI, USA
| | - Judy L. Chen
- UCLA Stein Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Edmund Tsui
- UCLA Stein Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, 200 Stein Plaza, Los Angeles, CA 90095-7003, USA
| |
Collapse
|