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Gulamali F, Jayaraman P, Sawant AS, Desman J, Fox B, Chang A, Soong BY, Arivazagan N, Reynolds AS, Duong SQ, Vaid A, Kovatch P, Freeman R, Hofer IS, Sakhuja A, Dangayach NS, Reich DS, Charney AW, Nadkarni GN. Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. NPJ Digit Med 2024; 7:233. [PMID: 39237755 PMCID: PMC11377429 DOI: 10.1038/s41746-024-01227-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 08/13/2024] [Indexed: 09/07/2024] Open
Abstract
Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000-2013) from Boston, we developed an artificial intelligence-derived biomarker for elevated ICP (aICP) for adult patients. aICP uses routinely collected extracranial waveform data as input, reducing the need for invasive monitoring. We externally validated aICP with an independent dataset from the Mount Sinai Hospital (2020-2022) in New York City. The AUROC, accuracy, sensitivity, and specificity on the external validation dataset were 0.80 (95% CI, 0.80-0.80), 73.8% (95% CI, 72.0-75.6%), 73.5% (95% CI 72.5-74.5%), and 73.0% (95% CI, 72.0-74.0%), respectively. We also present an exploratory analysis showing aICP predictions are associated with clinical phenotypes. A ten-percentile increment was associated with brain malignancy (OR = 1.68; 95% CI, 1.09-2.60), intracerebral hemorrhage (OR = 1.18; 95% CI, 1.07-1.32), and craniotomy (OR = 1.43; 95% CI, 1.12-1.84; P < 0.05 for all).
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Affiliation(s)
- Faris Gulamali
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pushkala Jayaraman
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ashwin S Sawant
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacob Desman
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin Fox
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Annette Chang
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian Y Soong
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Naveen Arivazagan
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexandra S Reynolds
- Department of Neurosurgery and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Son Q Duong
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Akhil Vaid
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patricia Kovatch
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert Freeman
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ira S Hofer
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ankit Sakhuja
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Neha S Dangayach
- Department of Neurosurgery and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David S Reich
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexander W Charney
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Girish N Nadkarni
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Riina N, Harris A, Siesky BA, Ritzer L, Pasquale LR, Tsai JC, Keller J, Wirostko B, Arciero J, Fry B, Eckert G, Verticchio Vercellin A, Antman G, Sidoti PA, Guidoboni G. Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma. Invest Ophthalmol Vis Sci 2024; 65:16. [PMID: 39250119 PMCID: PMC11385878 DOI: 10.1167/iovs.65.11.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2024] Open
Abstract
Purpose To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG). Methods Neural network models, also known as multi-layer perceptrons (MLPs), were trained on a prospectively collected observational dataset comprised of 93 glaucoma patients confirmed by a glaucoma specialist and 113 control subjects. The base model used only intraocular pressure, blood pressure, heart rate, and visual field (VF) parameters to diagnose glaucoma. The following models were given the base parameters in addition to one of the following biomarkers: structural features (optic nerve parameters, retinal nerve fiber layer [RNFL], ganglion cell complex [GCC] and macular thickness), choroidal thickness, and RNFL and GCC thickness only, by optical coherence tomography (OCT); and vascular features by OCT angiography (OCTA). Results MLPs of three different structures were evaluated with tenfold cross validation. The testing area under the receiver operating characteristic curve (AUC) of the models were compared with independent samples t-tests. The vascular and structural models both had significantly higher accuracies than the base model, with the hemodynamic AUC (0.819) insignificantly outperforming the structural set AUC (0.816). The GCC + RNFL model and the model containing all structural and vascular features were also significantly more accurate than the base model. Conclusions Neural network models indicate that OCTA optic nerve head vascular biomarkers are equally useful for ML diagnosis of POAG when compared to OCT structural biomarker features alone.
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Affiliation(s)
- Nicholas Riina
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Alon Harris
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Brent A Siesky
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Lukas Ritzer
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - James C Tsai
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- New York Eye and Ear Infirmary of Mount Sinai, New York, New York, United States
| | - James Keller
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri, United States
| | - Barbara Wirostko
- University of Utah Health John A Moran Eye Center, Salt Lake City, Utah, United States
| | - Julia Arciero
- Department of Mathematical Sciences, IUPUI School of Science, Indianapolis, Indiana, United States
| | - Brendan Fry
- Department of Mathematics and Statistics, Metropolitan State University of Denver, Denver, Colorado, United States
| | - George Eckert
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, United States
| | | | - Gal Antman
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Department of Ophthalmology, Rabin Medical Center, Petah Tikva, Central, Israel
- Faculty of Medicine, Tel Aviv University, Israel
| | - Paul A Sidoti
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- New York Eye and Ear Infirmary of Mount Sinai, New York, New York, United States
| | - Giovanna Guidoboni
- Maine College of Engineering and Computing, The University of Maine, Orono, Maine, United States
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Ahmad SS. The mechanical theory of glaucoma in terms of prelaminar, laminar, and postlaminar factors. Taiwan J Ophthalmol 2024; 14:376-386. [PMID: 39430347 PMCID: PMC11488796 DOI: 10.4103/tjo.tjo-d-23-00103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/22/2023] [Indexed: 10/22/2024] Open
Abstract
The mechanical theory is one of the oldest concepts regarding the development of glaucomatous neural degeneration. However, after a prolonged period of relative monopoly among the various theories explaining the pathogenesis of glaucoma, this concept gradually faded away from discourse. Several developments in the recent past have rekindled interest in the mechanical theory of glaucoma. Now we know a lot more about the biomechanics of the eye, prelaminar changes, mechanisms of retinal ganglion cell death, biomechanical features of the optic nerve head and sclera, extracellular matrix composition and its role, astrocytic changes, axoplasmic flow, and postlaminar factors such as translaminar pressure difference. These factors and others can be categorized into prelaminar, laminar, and postlaminar elements. The objective of this review was to present a concise analysis of these recent developments. The literature search for this narrative review was performed through databases, such as PubMed, Google Scholar, and Clinical Key.
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Affiliation(s)
- Syed Shoeb Ahmad
- Department of Ophthalmology, Ibn Sina Academy, Aligarh, Uttar Pradesh, India
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Reynolds GL, Plant G, Epps S, Sebastian R, Bennetto L. Glaucoma: what the neurologist needs to know. Pract Neurol 2024:pn-2023-003905. [PMID: 38906698 DOI: 10.1136/pn-2023-003905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/23/2024]
Abstract
Glaucoma is a progressive optic neuropathy resulting from pathological changes at the optic disc due to elevated intraocular pressure. Its diagnosis, treatment and follow-up are almost entirely conducted in ophthalmology clinics, with screening conducted by community optometrists. Despite this, neurologists may encounter glaucoma in both its acute presentation (as angle closure, presenting as acute headache) and its chronic forms (often as optic neuropathy of unknown cause). An awareness of the underlying pathological process, and the key distinguishing signs and symptoms, will allow neurologists to identify the glaucomatous process rapidly. Timely referral is essential as glaucoma invariably results in progressive visual loss without treatment. This review therefore condenses the wide field of glaucoma into a practical summary, aimed at practitioners with limited clinical experience of this ophthalmic condition.
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Affiliation(s)
- Gavin L Reynolds
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol Eye Hospital, Bristol, UK
| | - Gordon Plant
- National Hospital for Neurology and Neurosurgery, London, UK
| | - Simon Epps
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol Eye Hospital, Bristol, UK
| | - Rani Sebastian
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol Eye Hospital, Bristol, UK
| | - Luke Bennetto
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol Eye Hospital, Bristol, UK
- Department of Neuroscience, North Bristol NHS Trust Southmead Hospital, Bristol, UK
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Rossinelli D, Fourestey G, Killer HE, Neutzner A, Iaccarino G, Remonda L, Berberat J. Large-scale in-silico analysis of CSF dynamics within the subarachnoid space of the optic nerve. Fluids Barriers CNS 2024; 21:20. [PMID: 38419077 PMCID: PMC10900650 DOI: 10.1186/s12987-024-00518-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Impaired cerebrospinal fluid (CSF) dynamics is involved in the pathophysiology of neurodegenerative diseases of the central nervous system and the optic nerve (ON), including Alzheimer's and Parkinson's disease, as well as frontotemporal dementia. The smallness and intricate architecture of the optic nerve subarachnoid space (ONSAS) hamper accurate measurements of CSF dynamics in this space, and effects of geometrical changes due to pathophysiological processes remain unclear. The aim of this study is to investigate CSF dynamics and its response to structural alterations of the ONSAS, from first principles, with supercomputers. METHODS Large-scale in-silico investigations were performed by means of computational fluid dynamics (CFD) analysis. High-order direct numerical simulations (DNS) have been carried out on ONSAS geometry at a resolution of 1.625 μm/pixel. Morphological changes on the ONSAS microstructure have been examined in relation to CSF pressure gradient (CSFPG) and wall strain rate, a quantitative proxy for mass transfer of solutes. RESULTS A physiological flow speed of 0.5 mm/s is achieved by imposing a hydrostatic pressure gradient of 0.37-0.67 Pa/mm across the ONSAS structure. At constant volumetric rate, the relationship between pressure gradient and CSF-accessible volume is well captured by an exponential curve. The ONSAS microstructure exhibits superior mass transfer compared to other geometrical shapes considered. An ONSAS featuring no microstructure displays a threefold smaller surface area, and a 17-fold decrease in mass transfer rate. Moreover, ONSAS trabeculae seem key players in mass transfer. CONCLUSIONS The present analysis suggests that a pressure drop of 0.1-0.2 mmHg over 4 cm is sufficient to steadily drive CSF through the entire subarachnoid space. Despite low hydraulic resistance, great heterogeneity in flow speeds puts certain areas of the ONSAS at risk of stagnation. Alterations of the ONSAS architecture aimed at mimicking pathological conditions highlight direct relationships between CSF volume and drainage capability. Compared to the morphological manipulations considered herein, the original ONSAS architecture seems optimized towards providing maximum mass transfer across a wide range of pressure gradients and volumetric rates, with emphasis on trabecular structures. This might shed light on pathophysiological processes leading to damage associated with insufficient CSF flow in patients with optic nerve compartment syndrome.
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Affiliation(s)
- Diego Rossinelli
- Institute for Computational and Mathematical Engineering (ICME), Center for Turbulence Research, Stanford University, Stanford, CA, 94305-3024, USA.
| | - Gilles Fourestey
- Scientific IT & Application Support (SCITAS), Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
| | | | - Albert Neutzner
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Gianluca Iaccarino
- Institute for Computational and Mathematical Engineering (ICME), Center for Turbulence Research, Stanford University, Stanford, CA, 94305-3024, USA
| | - Luca Remonda
- Institute of Neuroradiology, Kantonsspital Aarau, 5000, Aarau, Switzerland
| | - Jatta Berberat
- Institute of Neuroradiology, Kantonsspital Aarau, 5000, Aarau, Switzerland
- Geriatric Psychiatry, Department of Psychiatry, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland
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Gulamali F, Jayaraman P, Sawant AS, Desman J, Fox B, Chang A, Soong BY, Arivazaghan N, Reynolds AS, Duong SQ, Vaid A, Kovatch P, Freeman R, Hofer IS, Sakhuja A, Dangayach NS, Reich DS, Charney AW, Nadkarni GN. Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.30.24301974. [PMID: 38352556 PMCID: PMC10863000 DOI: 10.1101/2024.01.30.24301974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/19/2024]
Abstract
Importance Increased intracranial pressure (ICP) is associated with adverse neurological outcomes, but needs invasive monitoring. Objective Development and validation of an AI approach for detecting increased ICP (aICP) using only non-invasive extracranial physiological waveform data. Design Retrospective diagnostic study of AI-assisted detection of increased ICP. We developed an AI model using exclusively extracranial waveforms, externally validated it and assessed associations with clinical outcomes. Setting MIMIC-III Waveform Database (2000-2013), a database derived from patients admitted to an ICU in an academic Boston hospital, was used for development of the aICP model, and to report association with neurologic outcomes. Data from Mount Sinai Hospital (2020-2022) in New York City was used for external validation. Participants Patients were included if they were older than 18 years, and were monitored with electrocardiograms, arterial blood pressure, respiratory impedance plethysmography and pulse oximetry. Patients who additionally had intracranial pressure monitoring were used for development (N=157) and external validation (N=56). Patients without intracranial monitors were used for association with outcomes (N=1694). Exposures Extracranial waveforms including electrocardiogram, arterial blood pressure, plethysmography and SpO2. Main Outcomes and Measures Intracranial pressure > 15 mmHg. Measures were Area under receiver operating characteristic curves (AUROCs), sensitivity, specificity, and accuracy at threshold of 0.5. We calculated odds ratios and p-values for phenotype association. Results The AUROC was 0.91 (95% CI, 0.90-0.91) on testing and 0.80 (95% CI, 0.80-0.80) on external validation. aICP had accuracy, sensitivity, and specificity of 73.8% (95% CI, 72.0%-75.6%), 99.5% (95% CI 99.3%-99.6%), and 76.9% (95% CI, 74.0-79.8%) on external validation. A ten-percentile increment was associated with stroke (OR=2.12; 95% CI, 1.27-3.13), brain malignancy (OR=1.68; 95% CI, 1.09-2.60), subdural hemorrhage (OR=1.66; 95% CI, 1.07-2.57), intracerebral hemorrhage (OR=1.18; 95% CI, 1.07-1.32), and procedures like percutaneous brain biopsy (OR=1.58; 95% CI, 1.15-2.18) and craniotomy (OR = 1.43; 95% CI, 1.12-1.84; P < 0.05 for all). Conclusions and Relevance aICP provides accurate, non-invasive estimation of increased ICP, and is associated with neurological outcomes and neurosurgical procedures in patients without intracranial monitoring.
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Affiliation(s)
- Faris Gulamali
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Pushkala Jayaraman
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ashwin S. Sawant
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jacob Desman
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Benjamin Fox
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Annie Chang
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Brian Y. Soong
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Naveen Arivazaghan
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alexandra S. Reynolds
- Department of Neurosurgery and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Son Q Duong
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Akhil Vaid
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Patricia Kovatch
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Robert Freeman
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ira S. Hofer
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ankit Sakhuja
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Neha S. Dangayach
- Department of Neurosurgery and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - David S. Reich
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alexander W Charney
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Girish N. Nadkarni
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
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Kuang G, Salowe R, O'Brien J. Paving the way while playing catch up: mitochondrial genetics in African ancestry primary open-angle glaucoma. FRONTIERS IN OPHTHALMOLOGY 2023; 3:1267119. [PMID: 38983031 PMCID: PMC11182247 DOI: 10.3389/fopht.2023.1267119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/28/2023] [Indexed: 07/11/2024]
Abstract
Glaucoma, the leading cause of irreversible blindness worldwide, disproportionately affects individuals of African descent. Specifically, previous research has indicated that primary open-angle glaucoma (POAG), the most common form of disease, is more prevalent, severe, early-onset, and rapidly-progressive in populations of African ancestry. Recent studies have identified genetic variations that may contribute to the greater burden of disease in this population. In particular, mitochondrial genetics has emerged as a profoundly influential factor in multiple neurodegenerative diseases, including POAG. Several hypotheses explaining the underlying mechanisms of mitochondrial genetic contribution to disease progression have been proposed, including nuclear-mitochondrial gene mismatch. Exploring the fundamentals of mitochondrial genetics and disease pathways within the understudied African ancestry population can lead to groundbreaking advancements in the research and clinical understanding of POAG. This article discusses the currently known involvements of mitochondrial genetic factors in POAG, recent directions of study, and potential future prospects in mitochondrial genetic studies in individuals of African descent.
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Affiliation(s)
- Grace Kuang
- Penn Medicine Center for Genetics in Complex Disease, Scheie Eye Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Rebecca Salowe
- Penn Medicine Center for Genetics in Complex Disease, Scheie Eye Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Joan O'Brien
- Penn Medicine Center for Genetics in Complex Disease, Scheie Eye Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
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Luis J, Eastlake K, Lamb WDB, Limb GA, Jayaram H, Khaw PT. Cell-Based Therapies for Glaucoma. Transl Vis Sci Technol 2023; 12:23. [PMID: 37494052 PMCID: PMC10383000 DOI: 10.1167/tvst.12.7.23] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 06/20/2023] [Indexed: 07/27/2023] Open
Abstract
Glaucomatous optic neuropathy (GON) is the major cause of irreversible visual loss worldwide and can result from a range of disease etiologies. The defining features of GON are retinal ganglion cell (RGC) degeneration and characteristic cupping of the optic nerve head (ONH) due to tissue remodeling, while intraocular pressure remains the only modifiable GON risk factor currently targeted by approved clinical treatment strategies. Efforts to understand the mechanisms that allow species such as the zebrafish to regenerate their retinal cells have greatly increased our understanding of regenerative signaling pathways. However, proper integration within the retina and projection to the brain by the newly regenerated neuronal cells remain major hurdles. Meanwhile, a range of methods for in vitro differentiation have been developed to derive retinal cells from a variety of cell sources, including embryonic and induced pluripotent stem cells. More recently, there has been growing interest in the implantation of glial cells as well as cell-derived products, including neurotrophins, microRNA, and extracellular vesicles, to provide functional support to vulnerable structures such as RGC axons and the ONH. These approaches offer the advantage of not relying upon the replacement of degenerated cells and potentially targeting earlier stages of disease pathogenesis. In order to translate these techniques into clinical practice, appropriate cell sourcing, robust differentiation protocols, and accurate implantation methods are crucial to the success of cell-based therapy in glaucoma. Translational Relevance: Cell-based therapies for glaucoma currently under active development include the induction of endogenous regeneration, implantation of exogenously derived retinal cells, and utilization of cell-derived products to provide functional support.
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Affiliation(s)
- Joshua Luis
- NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK
| | - Karen Eastlake
- NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK
| | - William D. B. Lamb
- NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK
| | - G. Astrid Limb
- NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK
| | - Hari Jayaram
- NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK
| | - Peng T. Khaw
- NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK
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Nair A, Baneke AJ. Comment on: 'Could the AREDS formula benefit patients with glaucoma?'. Eye (Lond) 2023; 37:2160. [PMID: 36335205 PMCID: PMC10333207 DOI: 10.1038/s41433-022-02279-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/06/2022] [Accepted: 09/28/2022] [Indexed: 11/07/2022] Open
Affiliation(s)
- Aditya Nair
- School of Medicine, Anglia Ruskin University, Chelmsford, UK.
| | - Alex J Baneke
- Broomfield Hospital, Mid and South Essex NHS Foundation Trust, Chelmsford, UK
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10
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Stoskuviene A, Siaudvytyte L, Januleviciene I, Vaitkus A, Simiene E, Bakstyte V, Ragauskas A, Antman G, Siesky B, Harris A. The Relationship between Intracranial Pressure and Visual Field Zones in Normal-Tension Glaucoma Patients. Diagnostics (Basel) 2023; 13:diagnostics13020174. [PMID: 36672984 PMCID: PMC9857814 DOI: 10.3390/diagnostics13020174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/29/2022] [Accepted: 12/31/2022] [Indexed: 01/05/2023] Open
Abstract
Growing evidence suggests that intracranial pressure (ICP) plays an important role in the pathophysiology of glaucoma, especially in normal-tension glaucoma (NTG) patients. Controversial results exist about ICP’s relationship to visual field (VF) changes. With the aim to assess the relationship between ICP and VF zones in NTG patients, 80 NTG patients (age 59.5 (11.6) years) with early-stage glaucoma were included in this prospective study. Intraocular pressure (IOP) (Goldmann), visual perimetry (Humphrey) and non-invasive ICP (via a two-depth Transcranial Doppler, Vittamed UAB, Lithuania) were evaluated. Translaminar pressure difference (TPD) was calculated according to the formula TPD = IOP − ICP. The VFs of each patient were divided into five zones: nasal, temporal, peripheral, central, and paracentral. The average pattern deviation (PD) scores were calculated in each zone. The level of significance p < 0.05 was considered significant. NTG patients had a mean ICP of 8.5 (2.4) mmHg. Higher TPD was related with lower mean deviation (MD) (p = 0.01) and higher pattern standard deviation (PSD) (p = 0.01). ICP was significantly associated with the lowest averaged PD scores in the nasal VF zone (p < 0.001). There were no significant correlations between ICP and other VF zones with the most negative mean PD value. (p > 0.05). Further studies are needed to analyze the involvement of ICP in NTG management.
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Affiliation(s)
- Akvile Stoskuviene
- Eye Clinic, Lithuanian University of Health Sciences, Eiveniu Str. 2, 50161 Kaunas, Lithuania
| | - Lina Siaudvytyte
- Eye Clinic, Lithuanian University of Health Sciences, Eiveniu Str. 2, 50161 Kaunas, Lithuania
| | - Ingrida Januleviciene
- Eye Clinic, Lithuanian University of Health Sciences, Eiveniu Str. 2, 50161 Kaunas, Lithuania
- Correspondence: ; Tel.: +370-37326760; Fax: +370-37327064
| | - Antanas Vaitkus
- Neurology Clinic, Lithuanian University of Health Sciences, Eiveniu Str. 2, 50161 Kaunas, Lithuania
| | - Evelina Simiene
- Eye Clinic, Lithuanian University of Health Sciences, Eiveniu Str. 2, 50161 Kaunas, Lithuania
| | - Viktorija Bakstyte
- Eye Clinic, Lithuanian University of Health Sciences, Eiveniu Str. 2, 50161 Kaunas, Lithuania
| | - Arminas Ragauskas
- Health Telematics Science Centre of Kaunas University of Technology, Studentu Str. 50, 51368 Kaunas, Lithuania
| | - Gal Antman
- Department of Ophthalmology, Rabin Medical Center, Petah Tikva 49100, Israel
| | - Brent Siesky
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alon Harris
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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11
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Machiele R, Frankfort BJ, Killer HE, Fleischman D. Problems in CSF and Ophthalmic Disease Research. FRONTIERS IN OPHTHALMOLOGY 2022; 2:896680. [PMID: 38983539 PMCID: PMC11182282 DOI: 10.3389/fopht.2022.896680] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/30/2022] [Indexed: 07/11/2024]
Abstract
There has been significant interest and progress in the understanding of cerebrospinal fluid pressure and its relationship to glaucoma and other ophthalmic diseases. However, just as every physiologic fluid pressure fluctuates, cerebrospinal fluid pressure (CSFP) is similarly dynamic. Coupling this with the difficulty in measuring the pressure, there are many obstacles in furthering this field of study. This review highlights some of the difficulties in CSFP research, including fluid compartmentalization, estimation equations, and pressure fluctuation. Keeping these limitations in mind will hopefully improve the quality and context of this burgeoning field.
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Affiliation(s)
- Ryan Machiele
- Department of Ophthalmology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | | | - Hanspeter Esriel Killer
- Department of Ophthalmology, Kantonsspital Aarau, Aarau, Switzerland
- Center for Biomedicine University of Basel, Basel, Switzerland
| | - David Fleischman
- Department of Ophthalmology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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12
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Moussa IR, Kassem RR, Edris NA, Khalil DH. Normal intraocular pressure in Egyptian children and meta-analysis. Eye (Lond) 2022; 36:1266-1273. [PMID: 34145417 PMCID: PMC9151725 DOI: 10.1038/s41433-021-01633-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/22/2021] [Accepted: 06/10/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE To determine the normal intraocular pressure in a sample of Egyptian children 0-12 years of age, and compare it to that recorded in previous studies. METHODS This is a prospective cross-sectional study, including 345 eyes. All children underwent complete history taking and ophthalmic examination. Any glaucomatous patients or glaucoma suspects were excluded. Intraocular pressure was measured using Haag Streit Perkins M2 handheld applanation tonometer under topical or general anaesthesia. Three readings were recorded for each eye and the average was calculated. Central corneal thickness was measured, using handheld pachymeter (Pachmate 2), whenever possible. RESULTS The study included 345 eyes of 187 children (101 males and 86 females), aged 2 months to 12 years (mean: 5.69 ± 3.42 years). The recorded IOP was 5-20 mm Hg (mean: 11.5 ± 2.34 mm Hg). Central corneal thickness was 469-742 μm (mean: 564.8 ± 42.72 μm). The mean recorded intraocular pressure showed positive correlation with increased age (p = 0.026) and increased central corneal thickness (p = 0.037), with a difference of 1 mm Hg for every 100-μm change in central corneal thickness. The mean IOP was significantly lower than that recorded by most previous studies. A detailed comparative analysis is presented comparing our findings with other studies including grouped analysis, by country, ethnicity and tonometers used. CONCLUSIONS The mean IOP in a group of normal Egyptian children was 11.5 ± 2.34 mm Hg, with positive correlation to age and central corneal thickness. This mean intraocular pressure was lower than that previously reported in any other population.
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Affiliation(s)
| | | | - Noha Ahmed Edris
- grid.7776.10000 0004 0639 9286Ophthalmic Department, Cairo University, Cairo, Egypt
| | - Dalia Hamed Khalil
- grid.7776.10000 0004 0639 9286Ophthalmic Department, Cairo University, Cairo, Egypt
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13
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Yang M, Ye Z, Alsaab N, Farhat M, Chen PY. In-Vitro Demonstration of Ultra-Reliable, Wireless and Batteryless Implanted Intracranial Sensors Operated on Loci of Exceptional Points. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2022; 16:287-295. [PMID: 35380967 DOI: 10.1109/tbcas.2022.3164697] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Vital signal monitoring, such as pulse, respiration rate, intra-organ and intra-vascular pressure, can provide important information for determination of clinic diagnosis, treatments, and surgical protocols. Nowadays, micromachined bioimplants, equipped with antennas for converting bio-signals to modulated radio transmissions, may allow remote continuous monitoring of patients' vital signs. Yet, current passive biotelemetry techniques usually suffer from poor signal reproducibility and robustness in light of inevitable misalignment between transmitting and receiving antennas. Here, we seek to address this long-existing challenge and to robustly acquire information from a passive wireless intracranial pressure (or brain pressure) sensor by introducing a novel, high-performance biotelemetry system. In spite of variable inductive links, this biotelemetry system may have absolute accuracy by leveraging the uniqueness of loci of exceptional points (EPs) in non-Hermitian radio-frequency (RF) electronic systems with parity-time (PT) symmetry. Our in-vitro experimental demonstration shows that the proposed intracranial (ICP) monitoring system can provide a sub-mmHg resolution in the ICP range of 0-20 mmHg and ultra-robust wireless data acquisition against the misalignment-induced weakening of inductive link. Our results could provide a practical pathway toward reliable, real-time wireless monitoring of ICP, and other vital signals generated by bio-implants and wearables.
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14
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Dias MS, Luo X, Ribas VT, Petrs-Silva H, Koch JC. The Role of Axonal Transport in Glaucoma. Int J Mol Sci 2022; 23:ijms23073935. [PMID: 35409291 PMCID: PMC8999615 DOI: 10.3390/ijms23073935] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/28/2022] [Accepted: 03/31/2022] [Indexed: 11/16/2022] Open
Abstract
Glaucoma is a neurodegenerative disease that affects the retinal ganglion cells (RGCs) and leads to progressive vision loss. The first pathological signs can be seen at the optic nerve head (ONH), the structure where RGC axons leave the retina to compose the optic nerve. Besides damage of the axonal cytoskeleton, axonal transport deficits at the ONH have been described as an important feature of glaucoma. Axonal transport is essential for proper neuronal function, including transport of organelles, synaptic components, vesicles, and neurotrophic factors. Impairment of axonal transport has been related to several neurodegenerative conditions. Studies on axonal transport in glaucoma include analysis in different animal models and in humans, and indicate that its failure happens mainly in the ONH and early in disease progression, preceding axonal and somal degeneration. Thus, a better understanding of the role of axonal transport in glaucoma is not only pivotal to decipher disease mechanisms but could also enable early therapies that might prevent irreversible neuronal damage at an early time point. In this review we present the current evidence of axonal transport impairment in glaucomatous neurodegeneration and summarize the methods employed to evaluate transport in this disease.
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Affiliation(s)
- Mariana Santana Dias
- Intermediate Laboratory of Gene Therapy and Viral Vectors, Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Rio de Janeiro 21941-902, Brazil; (M.S.D.); (H.P.-S.)
| | - Xiaoyue Luo
- Department of Neurology, University Medical Center Göttingen, 37077 Göttingen, Germany;
| | - Vinicius Toledo Ribas
- Laboratory of Neurobiology, Department of Morphology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Hilda Petrs-Silva
- Intermediate Laboratory of Gene Therapy and Viral Vectors, Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Rio de Janeiro 21941-902, Brazil; (M.S.D.); (H.P.-S.)
| | - Jan Christoph Koch
- Department of Neurology, University Medical Center Göttingen, 37077 Göttingen, Germany;
- Correspondence:
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15
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Three "Red Lines" for Pattern Recognition-Based Differential Diagnosis Using Optical Coherence Tomography in Clinical Practice. J Neuroophthalmol 2021; 41:385-398. [PMID: 34415273 DOI: 10.1097/wno.0000000000001173] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Optical coherence tomography (OCT) devices for imaging of the eye are broadly available. The test is noninvasive, rapid, and well-tolerated by patients. This creates a large number of OCT images and patient referrals. Interpretation of OCT findings at the interface between neurological and ophthalmologic conditions has become a key skill in the neuro-ophthalmology service. Similar to the interpretation of visual fields, recogntion of the vertical and horizontal medians are helpful. A third "red line" is added, which will be reviewed here. EVIDENCE Levels 1a to 5 evidence. ACQUISITION Literature research. RESULTS There is level 1a evidence that neurodegeneration of the brain is associated with inner retinal layer atrophy. Predominantly, this is driven by retrograde (trans-synaptic) axonal degeneration from the brain to the eye. This process typically stops at the level of the inner nuclear layer (INL). Anterograde (Wallerian) axonal degeneration from the eye to the brain can trespass the INL. The geography of atrophy and swelling of individual macular retinal layers distinguishes prechiasmal from postchiasmal pathology. The emerging patterns are a front-back "red line" at the INL; a vertical "red line" through the macula for chiasmal/postchiasmal pathology; and a horizontal "red line" through the macular for pathology pointing to the optic disc. This is summarized by illustrative case vignettes. CONCLUSIONS The interpretation of patterns of individual retinal layer atrophy (3 "red lines") needs to be combined with recognition of localized layer thickening (edema, structural) at the macula. Certain macular patterns point to pathology at the level of the optic disc. This requires revision of the optic disc OCT and will guide need for further investigations. The 3 "red lines" proposed here may be found useful in clinical practice and the related mnemonics ("half moon," "sunset," "rainbow") for teaching.
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16
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Cruz NFS, Santos KS, Matuoka ML, Kasahara N. Translaminar Pressure Difference and Ocular Perfusion Pressure in Glaucomatous Eyes with Different Optic Disc Sizes. J Ophthalmic Vis Res 2021; 16:171-177. [PMID: 34055254 PMCID: PMC8126746 DOI: 10.18502/jovr.v16i2.9080] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 01/08/2020] [Indexed: 11/24/2022] Open
Abstract
Purpose Intracranial pressure (ICP) and ocular perfusion pressure (OPP) are both involved with the pathogenesis of glaucoma. The orbital ICP determines a retrolaminar counter pressure that is antagonistic to the intraocular pressure (IOP). The purpose of this study is to evaluate whether the translaminar pressure difference (TLPD) and the OPP varies in glaucoma patients with different optic disc sizes. Methods In this university hospital-based, observational, cross-sectional clinical study,
all patients underwent an ophthalmic evaluation. Blood pressure, height, weight, and the results of retinal nerve fiber layer examination with optical coherence tomography examination were recorded. TLPD and OPP were calculated for each patient using proxy algorithms to attain indirect surrogate parameter values. Patients' eyes were stratified into three quantiles according to optic disc sizes and the differences compared. Data from both eyes were used after using the appropriate correction for inter-eye dependency. Results The sample consisted of 140 eyes of 73 patients with primary open-angle glaucoma and suspects. Patients with large disc size presented with higher TLPD as compared to those with average and small-sized discs (2.4 ± 4.5, 2.8 ± 3.8, and 3.7 ± 4.7 mmHg for first, second, and third tertile, respectively (P< 0.000). OPP did not vary according to the optic disc size. Conclusion Glaucoma patients with larger optic discs have higher TLPD. The pathological significance of this finding warrants further investigation.
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Affiliation(s)
- Natasha F S Cruz
- Department of Ophthalmology, Irmandade da Santa Casa de Misericordia de Sao Paulo, Sao Paulo, Brazil
| | - Katia S Santos
- Department of Ophthalmology, Irmandade da Santa Casa de Misericordia de Sao Paulo, Sao Paulo, Brazil
| | - Mateus L Matuoka
- Department of Ophthalmology, Irmandade da Santa Casa de Misericordia de Sao Paulo, Sao Paulo, Brazil
| | - Niro Kasahara
- Department of Ophthalmology, Irmandade da Santa Casa de Misericordia de Sao Paulo, Sao Paulo, Brazil.,Santa Casa de Sao Paulo School of Medical Sciences, Sao Paulo, Brazil
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17
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Ma D, Wei S, Sun Y, Li SM, An WZ, Hu JP, Cao K, Yang XH, Lin CX, Guo JY, Li H, Fu J, Wang N. Distribution of IOP and its relationship with refractive error and other factors: the Anyang University Students Eye Study. Int J Ophthalmol 2021; 14:554-559. [PMID: 33875947 DOI: 10.18240/ijo.2021.04.12] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 12/29/2020] [Indexed: 02/02/2023] Open
Abstract
AIM To investigate the distribution of intraocular pressure (IOP) and its relationship with refractive error and other factors in university students from Anyang, China. METHODS A university-based study was conducted. Subjects were invited to complete ophthalmic examinations, including visual acuity, noncontact tonometry (NCT), cycloplegic autorefraction, and ocular biometry. Univariable and multivariable analyses were used to evaluate the associations between IOP and other factors. Only data from right eyes were used in analysis. RESULTS A total of 7720 subjects aged 16 to 26 years old were included, and 2834 (36.4%) of the participants were male. The mean IOP of the right eye for all subjects was 15.52±3.20 mm Hg (95%CI: 15.45, 15.59). Using multivariate linear regression analysis, IOP was found to correlate significantly with younger age (P<0.001; standardized regression coefficient β, -0.061; regression coefficient β, -0.139; 95%CI: -0.18, -0.09), higher myopic refractive error (P=0.044; standardized β, -0.060; regression coefficient β, -0.770; 95%CI: -0.15, -0.002), higher central corneal thickness (P<0.001; standardized β, 0.450; regression coefficient β, 0.044; 95%CI: 0.04, 0.05), and shorter axial length (AL; P<0.001; standardized β, -0.061; regression coefficient β, -0.163; 95%CI: -0.25, -0.07). CONCLUSION This study described the normal distribution of IOP. In Chinese university students aged 16-26y, higher IOP is associated with younger age, higher myopic refractive error, higher thickness of the central cornea, and shorter AL.
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Affiliation(s)
- Dandan Ma
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Shifei Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Yunyun Sun
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Shi-Ming Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Wen-Zai An
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Jian-Ping Hu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China.,Beijing Institute of Ophthalmology, Beijing 100730, China
| | - Kai Cao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China.,Beijing Institute of Ophthalmology, Beijing 100730, China
| | - Xiao-Hui Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China.,Beijing Institute of Ophthalmology, Beijing 100730, China
| | - Cai-Xia Lin
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Ji-Yuan Guo
- Anyang Eye Hospital, Anyang 455000, Henan Province, China
| | - He Li
- Anyang Eye Hospital, Anyang 455000, Henan Province, China
| | - Jing Fu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China
| | - Ningli Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, China.,Beijing Institute of Ophthalmology, Beijing 100730, China
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18
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Yazdani S. Glaucomatous Optic Neuropathy: The Dark Side of the Moon. J Ophthalmic Vis Res 2021; 16:148-150. [PMID: 34055250 PMCID: PMC8126728 DOI: 10.18502/jovr.v16i2.9076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 02/13/2021] [Indexed: 11/24/2022] Open
Abstract
This is an Editorial and does not have an abstract. Please download the PDF or view the article HTML.
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Affiliation(s)
- Shahin Yazdani
- Ocular Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Ophthalmic Research Center, Research Institute for Ophthalmology and Vision Research, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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19
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Hanekamp S, Ćurčić-Blake B, Caron B, McPherson B, Timmer A, Prins D, Boucard CC, Yoshida M, Ida M, Hunt D, Jansonius NM, Pestilli F, Cornelissen FW. White matter alterations in glaucoma and monocular blindness differ outside the visual system. Sci Rep 2021; 11:6866. [PMID: 33767217 PMCID: PMC7994383 DOI: 10.1038/s41598-021-85602-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/15/2021] [Indexed: 01/23/2023] Open
Abstract
The degree to which glaucoma has effects in the brain beyond the eye and the visual pathways is unclear. To clarify this, we investigated white matter microstructure (WMM) in 37 tracts of patients with glaucoma, monocular blindness, and controls. We used brainlife.io for reproducibility. White matter tracts were subdivided into seven categories ranging from those primarily involved in vision (the visual white matter) to those primarily involved in cognition and motor control. In the vision tracts, WMM was decreased as measured by fractional anisotropy in both glaucoma and monocular blind subjects compared to controls, suggesting neurodegeneration due to reduced sensory inputs. A test-retest approach was used to validate these results. The pattern of results was different in monocular blind subjects, where WMM properties increased outside the visual white matter as compared to controls. This pattern of results suggests that whereas in the monocular blind loss of visual input might promote white matter reorganization outside of the early visual system, such reorganization might be reduced or absent in glaucoma. The results provide indirect evidence that in glaucoma unknown factors might limit the reorganization as seen in other patient groups following visual loss.
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Affiliation(s)
- Sandra Hanekamp
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
- Department of Intelligent Systems Engineering, Luddy School of Informatics and Engineering, Indiana University, Bloomington, IN, USA.
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
| | - Branislava Ćurčić-Blake
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bradley Caron
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
- Program in Vision Science, School of Optometry, Indiana University, Bloomington, IN, USA
| | - Brent McPherson
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Anneleen Timmer
- Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Doety Prins
- Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Christine C Boucard
- Department of Ophthalmology, Jikei University School of Medicine, Tokyo, Japan
| | - Masaki Yoshida
- Department of Ophthalmology, Jikei University School of Medicine, Tokyo, Japan
| | - Masahiro Ida
- Department of Radiology, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - David Hunt
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Nomdo M Jansonius
- Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Franco Pestilli
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
- Department of Intelligent Systems Engineering, Luddy School of Informatics and Engineering, Indiana University, Bloomington, IN, USA.
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
- Program in Neuroscience, Indiana University, Bloomington, IN, USA.
- Program in Vision Science, School of Optometry, Indiana University, Bloomington, IN, USA.
| | - Frans W Cornelissen
- Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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20
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Tsutsumi S, Ono H, Ishii H. Hyperintense areas in the intraorbital optic nerve evaluated by T2-weighted magnetic resonance imaging: a glymphatic pathway? Surg Radiol Anat 2021; 43:1273-1278. [PMID: 33399917 DOI: 10.1007/s00276-020-02649-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 12/04/2020] [Indexed: 01/27/2023]
Abstract
PURPOSE The present study aimed to explore the glymphatic pathway in the intraorbital optic nerve (ON) using magnetic resonance imaging (MRI). METHODS Following conventional MRI examination, a total of 89 outpatients underwent T2-weighted imaging in thin-sliced coronal and sagittal sections. Moreover, three injected cadaver heads were dissected. RESULTS In the cadaver specimens, differences in appearance between the central and peripheral parts of the ON were not observed. On the axial T2-weighted MRI performed in the initial examination, the central part of the intraorbital ONs was delineated as a well-demarcated, linear hyperintense area in 19% of patients. On the thin-sliced serial coronal images, the hyperintense areas were identified on both sides in 91% of patients. They were delineated as continuous hyperintense areas in the ONs with an inconsistent appearance even in the same nerve. In 12.4% of patients, the areas were divided into the upper and lower parts by a horizontal septum, while others showed variable morphologies, lacking a septum. On thin-sliced sagittal images, hyperintense areas were identified in 46% of patients. CONCLUSION Hyperintense areas in the intraorbital ON detected on T2-weighted sequences may involve a glymphatic pathway with perivascular spaces of the ON and central retinal artery. These may be collapsed and difficult to identify on surgical and cadaver specimens.
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Affiliation(s)
- Satoshi Tsutsumi
- Department of Neurological Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan.
| | - Hideo Ono
- Division of Radiological Technology, Medical Satellite Yaesu Clinic, Tokyo, Japan
| | - Hisato Ishii
- Department of Neurological Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan
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21
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[Dependency of intraocular pressure on body posture in glaucoma patients : New approaches to pathogenesis and treatment]. Ophthalmologe 2020; 117:730-739. [PMID: 32399617 DOI: 10.1007/s00347-020-01113-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKROUND Human intraocular pressure (IOP) depends on the position of the head in relation to the body in space. Physiologically, the IOP increases in a lying position compared to an upright posture. Microgravity in space also appears to cause an increase in intraocular pressure, accompanied by other ophthalmological changes, which are summarized under the term spaceflight associated neuro-ocular syndrome (SANS). Bed rest studies are being carried out to investigate the effects of weightlessness on the human body. So here there is an intersection between research into SANS and glaucoma. Increased intraocular pressure remains the most important risk factor for glaucoma development and progression that can be influenced by treatment. The influence of position-dependent IOP fluctuations on glaucoma is still not sufficiently understood. MATERIALS AND METHODS A literature search was carried in PubMed on the subject of IOP fluctuations related to posture. Analysis and evaluation of the published study results and a summary of available clinical data. RESULTS The increase in IOP when changing from a seated to a lying body position is greater in glaucoma patients with an increase of up to 8.6 mm Hg compared to healthy subjects with an increase up to 5 mm Hg. In small pilot studies the increase in lying IOP in some glaucoma patients and healthy volunteers could be attenuated by elevation of the head by 30%. A lower compartmental pressure in the subarachnoid space has been associated with glaucoma and may represent a risk factor for glaucoma development. Not only the level of IOP but also IOP fluctuations were associated with an increased risk of disease progression. CONCLUSION The clinical significance of IOP peaks during sleep on glaucoma is still not sufficiently understood. New methods for continuous IOP measurement offer promising opportunities for further research into the importance of IOP fluctuations related to changes of body and head posture.
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Short-Term Steady-State Pattern Electroretinography Changes Using a Multi-Pressure Dial in Ocular Hypertensive, Glaucoma Suspect, and Mild Open-Angle Glaucoma Patients: A Randomized, Controlled, Prospective, Pilot Study. Ophthalmol Ther 2020; 9:981-992. [PMID: 32939747 PMCID: PMC7708609 DOI: 10.1007/s40123-020-00302-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 09/04/2020] [Indexed: 11/21/2022] Open
Abstract
Introduction This study evaluates the effects of the multi-pressure dial (MPD) on steady-state pattern electroretinography (ss-pERG) parameters. The study is a randomized, controlled, prospective, pilot trial in a private practice setting with ocular hypertensive (OHT), glaucoma suspect, and open-angle glaucoma (OAG) subjects. Methods This study included nine patients (64 ± 9.0 years, nine female) with OHT, glaucoma suspect, or mild OAG. One eye of each subject was randomized to receive negative periocular pressure, while the contralateral eye served as the intrasubject control through the goggle without negative pressure. The Diopsys High Contrast Sensitivity ss-pERG protocol was conducted on both eyes of each subject while wearing the MPD device. Application of negative periocular pressure was set at 50% of baseline intraocular pressure for each study eye. Results Following 2 h of negative periocular pressure application, the difference in MagnitudeD (MagD) from baseline for eyes randomized to receive negative periocular pressure (+ 0.17 versus − 0.26) was statistically significant (p = 0.023). Over the same period, the change in MagD/Magnitude (MagD/Mag ratio) from baseline for eyes randomized to receive negative periocular pressure was also higher (+ 0.14 versus − 0.16), compared to the control eyes, approached significance (p = 0.059). Conclusions Following 2 h of MPD wear, the measured MagD and MagD/Mag ratio improved compared to control, suggesting that negative periocular pressure application to the anterior globe can lead to short-term improvement in one measure of retinal ganglion cell function.
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Pircher A, Killer HE. Comment on: The role of intracranial pressure in glaucoma. Eye (Lond) 2020; 35:1793. [PMID: 32461563 DOI: 10.1038/s41433-020-0975-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 05/13/2020] [Accepted: 05/13/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Achmed Pircher
- Department of Neuroscience/Ophthalmology, Uppsala University, Uppsala, Sweden.,Department of Ophthalmology, Kantonsspital Aarau, Aarau, Switzerland
| | - Hanspeter E Killer
- Department of Ophthalmology, Kantonsspital Aarau, Aarau, Switzerland. .,Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland.
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Baneke AJ, Aubry J, Viswanathan AC, Plant GT. Response to "Comment on: The role of intracranial pressure in glaucoma and therapeutic implications". Eye (Lond) 2020; 35:1782. [PMID: 32444862 DOI: 10.1038/s41433-020-0977-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 04/23/2020] [Accepted: 05/13/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Alex J Baneke
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.
| | - James Aubry
- General Electric Oil and Gas, Florence, Italy
| | - Ananth C Viswanathan
- NIHR Biomedical Research Centre for Ophthalmology at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Gordon T Plant
- Institute of Neurology, University College London, London, UK
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