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Introduction: Combined nutritional deficiency is an uncommon cause of vision loss in the USA. Notably, vitamin A deficiency can produce nyctalopia but rarely causes bilateral central vision loss. The combination of these symptoms is unusual, although likely underreported. Case Presentation: We report an exceptionally rare case of bilateral central vision loss and nyctalopia caused by combined vitamin A, zinc, and copper deficiency, likely following bariatric surgery and alcohol use. Following mineral and vitamin supplementation, the patient's vision improved significantly and returned to baseline within 1 month. Vision loss resulting from this specific multicombination of vitamin and mineral deficiency has never been reported previously in the English-language ophthalmic literature. Conclusion: Given rising rates of bariatric surgery and alcohol use in the USA and abroad, clinicians should be aware that the combination of progressive nyctalopia and bilateral central vision loss may be produced by combined nutritional deficiency. Screening and supplementation of both vitamin and mineral deficiency may result in dramatic reversal of visual loss in such cases.
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OBJECTIVES: To standardize optic nerve sheath diameter (ONSD) point-of-care ultrasonography (POCUS) and improve its research and clinical utility by developing the ONSD POCUS Quality Criteria Checklist (ONSD POCUS QCC). DESIGN: Three rounds of modified Delphi consensus process and three rounds of asynchronous discussions. SETTING: Online surveys and anonymous asynchronous discussion. SUBJECTS: Expert panelists were identified according to their expertise in ONSD research, publication records, education, and clinical use. A total of 52 panelists participated in the Delphi process. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Three Delphi rounds and three asynchronous discussion rounds generated consensus on quality criteria (QC). This started with 29 QC in addition to other QC proposed by expert panelists. The QC items were categorized into probe selection, safety, body position, imaging, measurement, and research considerations. At the conclusion of the study, 28 QC reached consensus to include in the final ONSD POCUS QCC. These QC were then reorganized, edited, and consolidated into 23 QC that were reviewed and approved by the panelists. CONCLUSIONS: ONSD POCUS QCC standardizes ONSD ultrasound imaging and measurement based on international consensus. This can establish ONSD ultrasound in clinical research and improve its utility in clinical practice.
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Multiple Sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) characterized by inflammation, demyelination, and axonal damage. Early recognition and treatment are important for preventing or minimizing the long-term effects of the disease. Current gold standard modalities of diagnosis (e.g., CSF and MRI) are invasive and expensive in nature, warranting alternative methods of detection and screening. Oculomics, the interdisciplinary combination of ophthalmology, genetics, and bioinformatics to study the molecular basis of eye diseases, has seen rapid development through various technologies that detect structural, functional, and visual changes in the eye. Ophthalmic biomarkers (e.g., tear composition, retinal nerve fibre layer thickness, saccadic eye movements) are emerging as promising tools for evaluating MS progression. The eye's structural and embryological similarity to the brain makes it a potentially suitable assessment of neurological and microvascular changes in CNS. In the advent of more powerful machine learning algorithms, oculomics screening modalities such as optical coherence tomography (OCT), eye tracking, and protein analysis become more effective tools aiding in MS diagnosis. Artificial intelligence can analyse larger and more diverse data sets to potentially discover new parameters of pathology for efficiently diagnosing MS before symptom onset. While there is no known cure for MS, the integration of oculomics with current modalities of diagnosis creates a promising future for developing more sensitive, non-invasive, and cost-effective approaches to MS detection and diagnosis.
