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Kim S, Kim BH, Han K, Kong M, Song SJ. Association Between Three Atopic Triad and Retinal Vein Occlusion Risk: A Nationwide Population-Based Study. Ophthalmic Epidemiol 2024; 31:301-310. [PMID: 37899646 DOI: 10.1080/09286586.2023.2276193] [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: 07/18/2023] [Accepted: 10/23/2023] [Indexed: 10/31/2023]
Abstract
PURPOSE To evaluate the association between three allergic diseases (allergic dermatitis, allergic rhinitis, and asthma) and the development of retinal vein occlusion (RVO), a major retinal disease that causes visual impairment. METHOD This study used data obtained from the Korean National Health Insurance Claims database between 2009 and 2018. The association between the three atopic triads (allergic dermatitis, allergic rhinitis, and asthma) and the occurrence of sight-threatening RVO, as determined by diagnostic and treatment codes, were analyzed. Multivariate adjusted Cox regression analysis was used to determine the hazard ratios (HRs) and 95% confidence intervals for RVO development in the presence of allergic disease. RESULTS In this population-based study, 2,160,195 (54.6%) individuals were male, 1,794,968 (45.4%) were female, and 620,938 (15.7%) were diagnosed with allergic diseases. Patients with either asthma or allergic rhinitis had a greater risk of RVO (adjusted hazard ratio (aHR) = 1.101, 95% confidence interval [CI] = 1.029-1.178 for asthma; aHR = 1.181, 95% CI = 1.147-1.215 for allergic rhinitis) compared to those without asthma or allergic rhinitis; however, patients with atopic dermatitis did not show a significant association with RVO (aHR = 1.071, 95% CI = 0.889-1.290), after adjusting for other risk factors. CONCLUSION Our study revealed that allergic rhinitis, asthma, and coexisting multiple allergic conditions were associated with an increased risk of RVO. Thus, it may be advisable to suggest an ophthalmological examination for patients with allergies due to the increased possibility of the occurrence of retinal vascular disease.
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Affiliation(s)
- Seongho Kim
- Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Bo Hee Kim
- Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Mingui Kong
- Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Su Jeong Song
- Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Biomedical Institute for Convergence (BICS), Sungkyunkwan University, Suwon, Republic of Korea
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Bhome R, Verdi S, Martin SA, Hannaway N, Dobreva I, Oxtoby NP, Castro Leal G, Rutherford S, Marquand AF, Weil RS, Cole JH. A neuroimaging measure to capture heterogeneous patterns of atrophy in Parkinson's disease and dementia with Lewy bodies. Neuroimage Clin 2024; 42:103596. [PMID: 38554485 PMCID: PMC10995913 DOI: 10.1016/j.nicl.2024.103596] [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: 11/09/2023] [Revised: 02/27/2024] [Accepted: 03/19/2024] [Indexed: 04/01/2024]
Abstract
INTRODUCTION Parkinson's disease (PD) and Dementia with Lewy bodies (DLB) show heterogeneous brain atrophy patterns which group-average analyses fail to capture. Neuroanatomical normative modelling overcomes this by comparing individuals to a large reference cohort. Patient-specific atrophy patterns are measured objectively and summarised to index overall neurodegeneration (the 'total outlier count'). We aimed to quantify patterns of neurodegenerative dissimilarity in participants with PD and DLB and evaluate the potential clinical relevance of total outlier count by testing its association with key clinical measures in PD and DLB. MATERIALS AND METHODS We included 108 participants with PD and 61 with DLB. PD participants were subclassified into high and low visual performers as this has previously been shown to stratify those at increased dementia risk. We generated z-scores from T1w-MRI scans for each participant relative to normative regional cortical thickness and subcortical volumes, modelled in a reference cohort (n = 58,836). Outliers (z < -1.96) were aggregated across 169 brain regions per participant. To measure dissimilarity, individuals' Hamming distance scores were calculated. We also examined total outlier counts between high versus low visual performance in PD; and PD versus DLB; and tested associations between these and cognition. RESULTS There was significantly greater inter-individual dissimilarity in brain-outlier patterns in PD poor compared to high visual performers (W = 522.5; p < 0.01) and in DLB compared to PD (W = 5649; p < 0.01). PD poor visual performers had significantly greater total outlier counts compared to high (β = -4.73 (SE = 1.30); t = -3.64; p < 0.01) whereas a conventional group-level GLM failed to identify differences. Higher total outlier counts were associated with poorer MoCA (β = -0.55 (SE = 0.27), t = -2.04, p = 0.05) and composite cognitive scores (β = -2.01 (SE = 0.79); t = -2.54; p = 0.02) in DLB, and visuoperception (β = -0.67 (SE = 0.19); t = -3.59; p < 0.01), in PD. CONCLUSIONS Neuroanatomical normative modelling shows promise as a clinically informative technique in PD and DLB, where patterns of atrophy are variable.
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Affiliation(s)
- R Bhome
- Dementia Research Centre, University College London, 8-11 Queen Square, London WC1N 3AR, United Kingdom; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, 90 High Holborn, London WC1V 6LJ, United Kingdom.
| | - S Verdi
- Dementia Research Centre, University College London, 8-11 Queen Square, London WC1N 3AR, United Kingdom; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, 90 High Holborn, London WC1V 6LJ, United Kingdom
| | - S A Martin
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, 90 High Holborn, London WC1V 6LJ, United Kingdom
| | - N Hannaway
- Dementia Research Centre, University College London, 8-11 Queen Square, London WC1N 3AR, United Kingdom
| | - I Dobreva
- Dementia Research Centre, University College London, 8-11 Queen Square, London WC1N 3AR, United Kingdom
| | - N P Oxtoby
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, 90 High Holborn, London WC1V 6LJ, United Kingdom
| | - G Castro Leal
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, 90 High Holborn, London WC1V 6LJ, United Kingdom
| | - S Rutherford
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Thomas van Aquinostraat 4, 6525 GD Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, the Netherlands; Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - A F Marquand
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Thomas van Aquinostraat 4, 6525 GD Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, the Netherlands
| | - R S Weil
- Dementia Research Centre, University College London, 8-11 Queen Square, London WC1N 3AR, United Kingdom; Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, United Kingdom; Movement Disorders Consortium, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, United Kingdom
| | - J H Cole
- Dementia Research Centre, University College London, 8-11 Queen Square, London WC1N 3AR, United Kingdom; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, 90 High Holborn, London WC1V 6LJ, United Kingdom
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Casciano F, Zauli E, Celeghini C, Caruso L, Gonelli A, Zauli G, Pignatelli A. Retinal Alterations Predict Early Prodromal Signs of Neurodegenerative Disease. Int J Mol Sci 2024; 25:1689. [PMID: 38338966 PMCID: PMC10855697 DOI: 10.3390/ijms25031689] [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: 12/21/2023] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024] Open
Abstract
Neurodegenerative diseases are an increasingly common group of diseases that occur late in life with a significant impact on personal, family, and economic life. Among these, Alzheimer's disease (AD) and Parkinson's disease (PD) are the major disorders that lead to mild to severe cognitive and physical impairment and dementia. Interestingly, those diseases may show onset of prodromal symptoms early after middle age. Commonly, the evaluation of these neurodegenerative diseases is based on the detection of biomarkers, where functional and structural magnetic resonance imaging (MRI) have shown a central role in revealing early or prodromal phases, although it can be expensive, time-consuming, and not always available. The aforementioned diseases have a common impact on the visual system due to the pathophysiological mechanisms shared between the eye and the brain. In Parkinson's disease, α-synuclein deposition in the retinal cells, as well as in dopaminergic neurons of the substantia nigra, alters the visual cortex and retinal function, resulting in modifications to the visual field. Similarly, the visual cortex is modified by the neurofibrillary tangles and neuritic amyloid β plaques typically seen in the Alzheimer's disease brain, and this may reflect the accumulation of these biomarkers in the retina during the early stages of the disease, as seen in postmortem retinas of AD patients. In this light, the ophthalmic evaluation of retinal neurodegeneration could become a cost-effective method for the early diagnosis of those diseases, overcoming the limitations of functional and structural imaging of the deep brain. This analysis is commonly used in ophthalmic practice, and interest in it has risen in recent years. This review will discuss the relationship between Alzheimer's disease and Parkinson's disease with retinal degeneration, highlighting how retinal analysis may represent a noninvasive and straightforward method for the early diagnosis of these neurodegenerative diseases.
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Affiliation(s)
- Fabio Casciano
- Department of Translational Medicine and LTTA Centre, University of Ferrara, 44121 Ferrara, Italy
| | - Enrico Zauli
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Claudio Celeghini
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Lorenzo Caruso
- Department of Environment and Prevention Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Arianna Gonelli
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Giorgio Zauli
- Research Department, King Khaled Eye Specialistic Hospital, Riyadh 12329, Saudi Arabia
| | - Angela Pignatelli
- Department of Neuroscience and Rehabilitation, University of Ferrara, 44124 Ferrara, Italy
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Hannaway N, Zarkali A, Leyland LA, Bremner F, Nicholas JM, Wagner SK, Roig M, Keane PA, Toosy A, Chataway J, Weil RS. Visual dysfunction is a better predictor than retinal thickness for dementia in Parkinson's disease. J Neurol Neurosurg Psychiatry 2023; 94:742-750. [PMID: 37080759 PMCID: PMC10447370 DOI: 10.1136/jnnp-2023-331083] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/30/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND Dementia is a common and devastating symptom of Parkinson's disease (PD). Visual function and retinal structure are both emerging as potentially predictive for dementia in Parkinson's but lack longitudinal evidence. METHODS We prospectively examined higher order vision (skew tolerance and biological motion) and retinal thickness (spectral domain optical coherence tomography) in 100 people with PD and 29 controls, with longitudinal cognitive assessments at baseline, 18 months and 36 months. We examined whether visual and retinal baseline measures predicted longitudinal cognitive scores using linear mixed effects models and whether they predicted onset of dementia, death and frailty using time-to-outcome methods. RESULTS Patients with PD with poorer baseline visual performance scored lower on a composite cognitive score (β=0.178, SE=0.05, p=0.0005) and showed greater decreases in cognition over time (β=0.024, SE=0.001, p=0.013). Poorer visual performance also predicted greater probability of dementia (χ² (1)=5.2, p=0.022) and poor outcomes (χ² (1) =10.0, p=0.002). Baseline retinal thickness of the ganglion cell-inner plexiform layer did not predict cognitive scores or change in cognition with time in PD (β=-0.013, SE=0.080, p=0.87; β=0.024, SE=0.001, p=0.12). CONCLUSIONS In our deeply phenotyped longitudinal cohort, visual dysfunction predicted dementia and poor outcomes in PD. Conversely, retinal thickness had less power to predict dementia. This supports mechanistic models for Parkinson's dementia progression with onset in cortical structures and shows potential for visual tests to enable stratification for clinical trials.
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Affiliation(s)
- Naomi Hannaway
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Angeliki Zarkali
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Louise-Ann Leyland
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Fion Bremner
- National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, UK
| | - Jennifer M Nicholas
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Matthew Roig
- UCL Queen Square Institute of Neurology, London, UK
| | - Pearse A Keane
- UCL Queen Square Institute of Neurology, London, UK
- Institute of Ophthalmology, University College London, London, UK
| | - Ahmed Toosy
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
- MRC CTU at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
- Movement Disorders Centre, University College London, London, UK
| | - Rimona Sharon Weil
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, UK
- Movement Disorders Centre, University College London, London, UK
- The Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK
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Yoon JM, Lim DH, Youn J, Han K, Kim BS, Jung W, Yeo Y, Shin DW, Ham DI. Increased risk of Parkinson's disease amongst patients with age-related macular degeneration and visual disability: A nationwide cohort study. Eur J Neurol 2023; 30:2641-2649. [PMID: 37243434 DOI: 10.1111/ene.15896] [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: 12/28/2022] [Revised: 05/12/2023] [Accepted: 05/22/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND AND PURPOSE The association between Parkinson's disease (PD) and age-related macular degeneration (AMD) has been shown in previous reports. However, the association between the severity of AMD and PD development is unknown. The aim was to evaluate the association of AMD with/without visual disability (VD) with the risk of PD occurrence using the National Health Insurance data in South Korea. METHODS A total of 4,205,520 individuals, 50 years or older and without a previous diagnosis of PD, participated in the Korean National Health Screening Program in 2009. AMD was verified using diagnostic codes, and participants with VD were defined as those with loss of vision or visual field defect as certified by the Korean Government. The participants were followed up until 31 December 2019, and incident cases of PD were identified using registered diagnostic codes. The hazard ratio was calculated for groups (control and AMD with/without VD) using multivariable adjusted Cox regression analysis. RESULTS In total, 37,507 participants (0.89%) were diagnosed with PD. Amongst individuals with AMD, the risk of PD development was higher in individuals with VD (adjusted hazard ratio [aHR] 1.35, 95% confidence interval [CI] 1.09-1.67) than in those without (aHR 1.22, 95% CI 1.15-1.30) compared with controls. Additionally, an increased risk of PD was observed in individuals with AMD compared with controls, regardless of the presence of VD (aHR 1.23, 95% CI 1.16-1.31). CONCLUSIONS Visual disability in AMD was associated with the development of PD. This suggests that neurodegeneration in PD and AMD may have common pathways.
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Affiliation(s)
- Je Moon Yoon
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
| | - Dong Hui Lim
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea
| | - Jinyoung Youn
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Bong Sung Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Wonyoung Jung
- Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yohwan Yeo
- Department of Family Medicine, Hallym University Dongtan Hospital, Hwasung, Korea
| | - Dong Wook Shin
- Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Study Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Korea
| | - Don-Il Ham
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
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Bayram E, Batzu L, Tilley B, Gandhi R, Jagota P, Biundo R, Garon M, Prasertpan T, Lazcano-Ocampo C, Chaudhuri KR, Weil RS. Clinical trials for cognition in Parkinson's disease: Where are we and how can we do better? Parkinsonism Relat Disord 2023; 112:105385. [PMID: 37031010 PMCID: PMC10330317 DOI: 10.1016/j.parkreldis.2023.105385] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 03/24/2023] [Accepted: 03/25/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Cognitive impairment is common in Parkinson's disease (PD) and has a substantial impact on quality of life. Despite numerous trials targeting various PD features, we still lack effective treatments for cognition beyond cholinesterase inhibitors. OBJECTIVE To identify the gaps in recent clinical trials with cognitive outcomes in PD and consider areas for improvement. METHODS We examined recent clinical trials with cognitive outcomes in PD registered on ClinicalTrials.gov, excluding trials without cognitive outcomes, non-interventional studies, and in atypical Parkinsonian disorders. Included trials were categorized by treatment approach (investigational medicinal product, behavioral, physical activity, device-based). Details of trial design and outcomes were collected. RESULTS 178 trials at different stages of trial completion were considered. 46 trials were completed, 25 had available results. Mean follow-up duration was 29.9 weeks. Most common cognitive measure was Montreal Cognitive Assessment. Most were performed in North America or Europe. Majority of the participants identified as non-Hispanic and White. Only eight trials showed improvement in cognition, none showed improvement beyond four months. These included trials of international medicinal products, cognitive and physical interventions and devices. GRADE certainty levels ranged from Moderate to Very Low. Only mevidalen had a Moderate certainty for potential clinical effectiveness. CONCLUSIONS Amongst a large number of trials for cognition in PD, only a small proportion were completed. Few showed significant improvement, with no proven long-lasting effects. Trial design, lack of enrichment for at-risk groups, short follow-up duration, insensitive outcome measures likely contribute to lack of detectable benefit and should be considered in future trials.
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Affiliation(s)
- Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA.
| | - Lucia Batzu
- Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK.
| | - Bension Tilley
- Dementia Research Centre, University College London, London, UK; Department of Brain Sciences, Imperial College London, London, UK
| | - Rhea Gandhi
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Priya Jagota
- Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Roberta Biundo
- Department of General Psychology, University of Padua, Padua, Italy; Study Center for Neurodegeneration (CESNE), University of Padua, Padua, Italy
| | - Michela Garon
- Parkinson and Movement Disorders Unit, Department of Neuroscience, University of Padua, Padua, Italy
| | - Tittaya Prasertpan
- Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Claudia Lazcano-Ocampo
- Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Neurology, Hospital Sotero del Rio, Santiago, Chile
| | - K Ray Chaudhuri
- Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK
| | - Rimona S Weil
- Dementia Research Centre, University College London, London, UK; Movement Disorders Centre, University College London, London, UK
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Alves JN, Westner BU, Højlund A, Weil RS, Dalal SS. Structural and functional changes in the retina in Parkinson's disease. J Neurol Neurosurg Psychiatry 2023; 94:448-456. [PMID: 36806480 PMCID: PMC7614544 DOI: 10.1136/jnnp-2022-329342] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 01/05/2023] [Indexed: 02/19/2023]
Abstract
Parkinson's disease is caused by degeneration of dopaminergic neurons, originating in the substantia nigra pars compacta and characterised by bradykinesia, rest tremor and rigidity. In addition, visual disorders and retinal abnormalities are often present and can be identified by decreased visual acuity, abnormal spatial contrast sensitivity or even difficulty in complex visual task completion. Because of their early onset in patients with de novo Parkinson's disease, the anatomical retinal changes and electrophysiological modification could be valuable markers even at early stages of the disease. However, due to the concomitant occurrence of normal ageing, the relevance and specificity of these predictive values can be difficult to interpret. This review examines retinal dysfunction arising in Parkinson's disease. We highlight the electrophysiological delays and decreased amplitude in the electroretinography recorded in patients and animal models. We relate this to coexisting anatomical changes such as retinal nerve fibre layer and macular thinning, measured using optical coherence tomography, and show that functional measures are more consistent overall than optical coherence-measured structural changes. We review the underlying chemical changes seen with loss of retinal dopaminergic neurons and the effect of levodopa treatment on the retina in Parkinson's disease. Finally, we consider whether retinal abnormalities in Parkinson's disease could have a role as potential markers of poorer outcomes and help stratify patients at early stages of the disease. We emphasise that retinal measures can be valuable, accessible and cost-effective methods in the early evaluation of Parkinson's disease pathogenesis with potential for patient stratification.
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Affiliation(s)
- Jordan N Alves
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Britta U Westner
- Radboud University, Donders Institute for Brain, Cognition and Behaviours, Nijmegen, The Netherlands
| | - Andreas Højlund
- Department of Linguistics, Cognitive Science & Semiotics, Aarhus University, Aarhus, Denmark
| | - Rimona Sharon Weil
- Dementia Research Centre, University College London, London, UK.,Movement Disorders Consortium, University College London, London, UK.,Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Sarang S Dalal
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
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8
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Zhang Y, Zhang X, Yue Y, Tian T. Retinal Degeneration: A Window to Understand the Origin and Progression of Parkinson’s Disease? Front Neurosci 2022; 15:799526. [PMID: 35185448 PMCID: PMC8854654 DOI: 10.3389/fnins.2021.799526] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 12/09/2021] [Indexed: 11/13/2022] Open
Abstract
Parkinson’s disease (PD), the second most prevalent neurodegenerative disorder, manifests with motor and non-motor symptoms associated with two main pathological hallmarks, including the deterioration of dopaminergic cells and aggregation of alpha-synuclein. Yet, PD is a neurodegenerative process whose origin is uncertain and progression difficult to monitor and predict. Currently, a possibility is that PD may be secondary to long lasting peripheral affectations. In this regard, it has been shown that retinal degeneration is present in PD patients. Although it is unknown if retinal degeneration precedes PD motor symptoms, the possibility exists since degeneration of peripheral organs (e.g., olfaction, gut) have already been proven to antedate PD motor symptoms. In this paper, we explore this possibility by introducing the anatomical and functional relationship of retina and brain and providing an overview of the physiopathological changes of retinal structure and visual function in PD. On the basis of the current status of visual deficits in individuals with PD, we discuss the modalities and pathological mechanism of visual function or morphological changes in the retina and focus on the correlation between visual impairment and some representative structural features with clinical significance. To consider retinal degeneration as a contributor to PD origin and progress is important because PD evolution may be monitored and predicted by retinal studies through state-of-the-art techniques of the retina. It is significant to integrally understand the role of retinal morphological and functional changes in the neurodegenerative process for the diagnosis and therapeutic strategies of PD.
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Affiliation(s)
- Yanyan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiaoguang Zhang
- Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yunhua Yue
- Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Yunhua Yue,
| | - Tian Tian
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
- Tian Tian,
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9
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Diederich NJ. [Causes of visual hallucinations in Parkinson's disease]. DER NERVENARZT 2022; 93:392-401. [PMID: 34342675 PMCID: PMC9010390 DOI: 10.1007/s00115-021-01165-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Visual hallucinations (VH) have mainly been considered as late symptoms of Parkinson's disease (PD); however, minor forms of VH also occur in early stages of the disease. Initially dopaminergic overstimulation was discussed as the cause and later on VH have been considered as an early red flag of dementia in PD. OBJECTIVE The present study analyzed whether the pathophysiological concept of VH has been enlarged in recent years. MATERIAL AND METHODS Clinical, pharmacological, neuropathological as well as functional magnetic resonance imaging studies dealing with VH were reviewed. A systematic classification in monomodal and multimodal models of VH is proposed. The applicability to various forms of VH and various triggering situations is critically examined. RESULTS Reduction of the visual information input, erroneous visual processing, attention deficits, and dysfunctional connectivity between various cerebral networks have been shown. There is partial overlapping with the Lhermitte syndrome and the Charles Bonnet syndrome. No model is able to fully explain all VH variants. Not all VH have the same pathogenesis and the same poor prognosis. CONCLUSION The chain of causes underlying VH is complex and can vary from patient to patient. So far the therapeutic applications are largely unexplored; however, there is preliminary evidence that beside adjustment of the medication, improvement of visual acuity, active involvement of the partner, and possibly, individually adaptable coping strategies could be successfully implemented.
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Affiliation(s)
- Nico J. Diederich
- Abteilung für Neurologie, Centre Hospitalier de Luxembourg, 4, rue Barblé, 1210 Luxemburg-Stadt, Luxemburg
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Zhu Z, Hu W, Liao H, Tan Z, Chen Y, Shi D, Shang X, Zhang X, Huang Y, Yu H, Wang W, He M, Yang X. Association of visual impairment with risk for future Parkinson's disease. EClinicalMedicine 2021; 42:101189. [PMID: 34805812 PMCID: PMC8585627 DOI: 10.1016/j.eclinm.2021.101189] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 10/26/2022] Open
Abstract
BACKGROUND Although visual dysfunction is one of the most common non-motor symptoms among patients with Parkinson's disease (PD), it is not known whether visual impairment (VI) predates the onset of clinical PD. Therefore, we aim to examine the association of VI with the future development of PD in the UK Biobank Study. METHODS The UK Biobank Study is one of the largest cohort studies of health, enrolling over 500,000 participants aged 40-69 years between 2006 and 2010 across the UK. VI was defined as a habitual distance visual acuity (VA) worse than 0·3 logarithm of the minimum angle of resolution (LogMAR) in the better-seeing eye. Incident cases of PD were determined by self report data, hospital admission records or death records, whichever came first. Multivariable Cox proportional hazard regression models were used to investigate the association between VI and the risk of incident PD. FINDINGS A total of 117,050 participants were free of PD at the baseline assessment. During the median observation period of 5·96 (IQR: 5·77-6·23) years, PD occurred in 222 (0·19%) participants. Visually impaired participants were at a higher risk of developing PD than non-VI participants (p < 0·001). Compared with the non-VI group, the adjusted hazard ratio was 2·28 (95% CI 1·29-4·05, p = 0·005) in the VI group. These results were consistent in the sensitivity analysis, where incident PD cases diagnosed within one year after the baseline assessment were excluded. INTERPRETATION This cohort study found that VI was associated with an increased risk of incident PD, suggesting that VI may serve as a modifiable risk factor for prevention of future PD.
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Key Words
- Ageing
- BMI, body mass index
- CI, confidence intervals
- HR, hazard ratios
- IQR, interquartile range
- LogMAR, logarithm of the minimum angle of resolution
- NHS, National Health Service
- PD, Parkinson's disease
- PHQ-2, Patient Health Questionnaire-2
- PPV, positive predictive value
- Parkinson's disease
- SD, standard deviations
- VA, visual acuity
- VI, visual impairment
- Visual impairment
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Affiliation(s)
- Zhuoting Zhu
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Wenyi Hu
- Shanghai Jiaotong University, Shanghai, China
- Centre for Eye Research, University of Melbourne, East Melbourne, Victoria, Australia
| | - Huan Liao
- Neural Regeneration Group, Institute of Reconstructive Neurobiology, University of Bonn, Bonn, Germany
| | - Zachary Tan
- Centre for Eye Research, University of Melbourne, East Melbourne, Victoria, Australia
| | - Yifan Chen
- John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Danli Shi
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xianwen Shang
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Xueli Zhang
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Yu Huang
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Corresponding authors.
| | - Mingguang He
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
- Centre for Eye Research, University of Melbourne, East Melbourne, Victoria, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Centre for Eye Research, University of Melbourne, East Melbourne, Victoria, Australia
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
- Corresponding authors.
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Naumann W, Gogarten J, Schönfeld S, Klostermann F, Marzinzik F, Schindlbeck KA. Diplopia in Parkinson's disease: Indication of a cortical phenotype with cognitive dysfunction? Acta Neurol Scand 2021; 144:440-449. [PMID: 34096617 DOI: 10.1111/ane.13479] [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] [Received: 01/08/2021] [Revised: 04/18/2021] [Accepted: 05/14/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND Visual disturbances are increasingly recognized as common non-motor symptoms in Parkinson's disease (PD). In PD patients, intermittent diplopia has been found to be associated with the presence of visual hallucinations and the Parkinson's psychosis spectrum. Here, we investigated whether diplopia in PD is associated with other non-motor traits and cognitive impairment. METHODS We investigated 50 non-demented PD patients with and without intermittent diplopia and 24 healthy controls for visual disturbances, as well as motor and non-motor symptoms. All participants underwent a neuropsychological test battery; visuospatial abilities were further evaluated with subtests of the Visual Object and Space Perception Battery (VOSP). The two PD patient groups did not differ significantly in age, symptom duration, motor symptom severity, frequency of visual hallucinations, or visual sensory efficiency. RESULTS PD patients with diplopia reported more frequent non-motor symptoms including more subjective cognitive problems and apathy without changes in global cognition measures compared to those without diplopia. PD patients with diplopia had greater impairment in several tests of visuospatial function (pentagon copying p = .002; number location p = .001; cube analysis p < .02) and object perception (p < .001) compared to PD patients without diplopia and healthy controls. By contrast, no consistent group differences were observed in executive function, memory, or language. CONCLUSIONS PD patients with diplopia have a greater non-motor symptom burden and deficits in visuospatial function compared to PD patients without diplopia. PD patients with diplopia might be prone to a cortical phenotype with cognitive decline and apathy associated with worse prognosis.
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Affiliation(s)
- Wanda Naumann
- Department of Neurology Charité–Universitätsmedizin Berlin Berlin Germany
| | - Jacob Gogarten
- Department of Neurology Charité–Universitätsmedizin Berlin Berlin Germany
| | - Shideh Schönfeld
- Department of Ophthalmology Charité–Universitätsmedizin Berlin Berlin Germany
| | - Fabian Klostermann
- Department of Neurology Charité–Universitätsmedizin Berlin Berlin Germany
| | - Frank Marzinzik
- Department of Neurology Charité–Universitätsmedizin Berlin Berlin Germany
| | - Katharina A. Schindlbeck
- Department of Neurology Charité–Universitätsmedizin Berlin Berlin Germany
- Center for Neurosciences The Feinstein Institute for Medical Research Manhasset NY USA
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Abstract
Visual hallucinations have intrigued neurologists and physicians for generations due to patients' vivid and fascinating descriptions. They are most commonly associated with Parkinson's disease and dementia with Lewy bodies, but also occur in people with visual loss, where they are known as Charles Bonnet syndrome. More rarely, they can develop in other neurological conditions, such as thalamic or midbrain lesions, when they are known as peduncular hallucinosis. This review considers the mechanisms underlying visual hallucinations across diagnoses, including visual loss, network dysfunction across the brain and changes in neurotransmitters. We propose a framework to explain why visual hallucinations occur most commonly in Parkinson's disease and dementia with Lewy bodies, and discuss treatment approaches to visual hallucinations in these conditions.
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Affiliation(s)
- Rimona S Weil
- Dementia Research Centre, University College London, London, UK
| | - A J Lees
- Reta Lila Weston Institute of Neurological Studies, University College London, London, UK
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Zarkali A, McColgan P, Leyland L, Lees AJ, Weil RS. Visual Dysfunction Predicts Cognitive Impairment and White Matter Degeneration in Parkinson's Disease. Mov Disord 2021; 36:1191-1202. [PMID: 33421201 PMCID: PMC8248368 DOI: 10.1002/mds.28477] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/23/2020] [Accepted: 12/14/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Visual dysfunction predicts dementia in Parkinson's disease (PD), but whether this translates to structural change is not known. The objectives of this study were to identify longitudinal white matter changes in patients with Parkinson's disease and low visual function and also in those who developed mild cognitive impairment. METHODS We used fixel-based analysis to examine longitudinal white matter change in PD. Diffusion MRI and clinical assessments were performed in 77 patients at baseline (22 low visual function/55 intact vision and 13 PD-mild cognitive impairment/51 normal cognition) and 25 controls and again after 18 months. We compared microstructural changes in fiber density, macrostructural changes in fiber bundle cross-section and combined fiber density and cross-section, across white matter, adjusting for age, sex, and intracranial volume. RESULTS Patients with PD and visual dysfunction showed worse cognitive performance at follow-up and were more likely to develop mild cognitive impairment compared with those with normal vision (P = 0.008). Parkinson's with poor visual function showed diffuse microstructural and macrostructural changes at baseline, whereas those with mild cognitive impairment showed fewer baseline changes. At follow-up, Parkinson's with low visual function showed widespread macrostructural changes, involving the fronto-occipital fasciculi, external capsules, and middle cerebellar peduncles bilaterally. No longitudinal change was seen in those with mild cognitive impairment at baseline or converters, even when the 2 groups were combined. CONCLUSION Parkinson's patients with poor visual function show increased white matter damage over time, providing further evidence for visual function as a marker of imminent cognitive decline. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Angeliki Zarkali
- Dementia Research CentreUniversity College LondonLondonUnited Kingdom
| | - Peter McColgan
- Huntington's Disease CentreUniversity College LondonLondonUnited Kingdom
| | | | - Andrew J. Lees
- Reta Lila Weston Institute of Neurological StudiesLondonUnited Kingdom
| | - Rimona S. Weil
- Dementia Research CentreUniversity College LondonLondonUnited Kingdom,Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUnited Kingdom,Movement Disorders ConsortiumNational Hospital for Neurology and NeurosurgeryLondonUnited Kingdom
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Oxtoby NP, Leyland LA, Aksman LM, Thomas GEC, Bunting EL, Wijeratne PA, Young AL, Zarkali A, Tan MMX, Bremner FD, Keane PA, Morris HR, Schrag AE, Alexander DC, Weil RS. Sequence of clinical and neurodegeneration events in Parkinson's disease progression. Brain 2021; 144:975-988. [PMID: 33543247 PMCID: PMC8041043 DOI: 10.1093/brain/awaa461] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 10/05/2020] [Accepted: 10/24/2020] [Indexed: 02/07/2023] Open
Abstract
Dementia is one of the most debilitating aspects of Parkinson's disease. There are no validated biomarkers that can track Parkinson's disease progression, nor accurately identify patients who will develop dementia and when. Understanding the sequence of observable changes in Parkinson's disease in people at elevated risk for developing dementia could provide an integrated biomarker for identifying and managing individuals who will develop Parkinson's dementia. We aimed to estimate the sequence of clinical and neurodegeneration events, and variability in this sequence, using data-driven statistical modelling in two separate Parkinson's cohorts, focusing on patients at elevated risk for dementia due to their age at symptom onset. We updated a novel version of an event-based model that has only recently been extended to cope naturally with clinical data, enabling its application in Parkinson's disease for the first time. The observational cohorts included healthy control subjects and patients with Parkinson's disease, of whom those diagnosed at age 65 or older were classified as having high risk of dementia. The model estimates that Parkinson's progression in patients at elevated risk for dementia starts with classic prodromal features of Parkinson's disease (olfaction, sleep), followed by early deficits in visual cognition and increased brain iron content, followed later by a less certain ordering of neurodegeneration in the substantia nigra and cortex, neuropsychological cognitive deficits, retinal thinning in dopamine layers, and further deficits in visual cognition. Importantly, we also characterize variation in the sequence. We found consistent, cross-validated results within cohorts, and agreement between cohorts on the subset of features available in both cohorts. Our sequencing results add powerful support to the increasing body of evidence suggesting that visual processing specifically is affected early in patients with Parkinson's disease at elevated risk of dementia. This opens a route to earlier and more precise detection, as well as a more detailed understanding of the pathological mechanisms underpinning Parkinson's dementia.
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Affiliation(s)
- Neil P Oxtoby
- Centre for Medical Image Computing, Department of Computer Science and Department of Medical Physics and Biomedical Engineering, UCL, London, UK
| | | | - Leon M Aksman
- Centre for Medical Image Computing, Department of Computer Science and Department of Medical Physics and Biomedical Engineering, UCL, London, UK
| | - George E C Thomas
- Dementia Research Centre, UCL Institute of Neurology, UCL, London, UK
| | - Emma L Bunting
- Dementia Research Centre, UCL Institute of Neurology, UCL, London, UK
| | - Peter A Wijeratne
- Centre for Medical Image Computing, Department of Computer Science and Department of Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Alexandra L Young
- Centre for Medical Image Computing, Department of Computer Science and Department of Medical Physics and Biomedical Engineering, UCL, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Angelika Zarkali
- Dementia Research Centre, UCL Institute of Neurology, UCL, London, UK
| | - Manuela M X Tan
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, UCL, London, UK
- Movement Disorders Consortium, UCL, London, UK
| | - Fion D Bremner
- Neuro-ophthalmology, National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, UK
| | - Pearse A Keane
- Institute of Ophthalmology, UCL, London, UK
- Moorfields Eye Hospital, London, UK
| | - Huw R Morris
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, UCL, London, UK
- Movement Disorders Consortium, UCL, London, UK
| | - Anette E Schrag
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, UCL, London, UK
- Movement Disorders Consortium, UCL, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science and Department of Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Rimona S Weil
- Dementia Research Centre, UCL Institute of Neurology, UCL, London, UK
- Movement Disorders Consortium, UCL, London, UK
- The Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, UCL, London, UK
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15
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Han G, Han J, Han K, Chung TY, Na KS, Lim DH. Relationships among visual acuity, risk of acute myocardial infarction, and stroke: a nationwide cohort study in south korea. Ophthalmic Epidemiol 2021; 29:57-69. [PMID: 33726622 DOI: 10.1080/09286586.2021.1893340] [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: 10/21/2022]
Abstract
Purpose: Visual impairment (VI) is highly prevalent in the elderly and is associated with functional decline. Previous research demonstrated an association between VI and cardiovascular events, but investigations have yet to be conducted in general population samples. We evaluated the relationship between visual acuity (VA) and development of cardiovascular diseases (CVD) in a nationwide Korean population.Methods: This is a nationwide retrospective cohort study. We used the National Health Information Database of the National Health Insurance Service of Korea to identify subjects who participated in the National Health Insurance Service health screening program in 2012. We monitored 5,941,761 subjects for the development of cardiovascular diseases for a period of 5 years.Results: After adjustments for age, sex, and other covariates, with subjects having a visual acuity better than 20/20 as the reference group, the adjusted hazard ratios (HRs) and 95% confidential intervals (CI) for acute myocardial infarction and stroke were visual acuity between 20/20 and 20/60, 1.073 (95% CI 1.053, 1.094) and 1.151 (95% CI 1.132, 1.171), respectively; for visual acuity between 20/60 and 20/200, 1.236 (95% CI 1.197, 1.277), and 1.336 (95% CI 1.302, 1.371), respectively; and for visual acuity worse than 20/200, 1.325 (95% CI 1.285, 1.366) and 1.383 (95% CI 1.349, 1.418), respectively.Conclusion: Subjects with lower VA had higher risks of acute myocardial infarction and stroke. These results suggest that low VA is an independent risk factor for CVD.
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Affiliation(s)
- Gyule Han
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Jisang Han
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Biostatistics, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Tae-Young Chung
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Kyung-Sun Na
- Department of Ophthalmology, College of Medicine, Yeouido St. Mary's Hospital, Seoul, Republic of Korea
| | - Dong Hui Lim
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.,Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
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16
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Lim DH, Shin KY, Han K, Kang SW, Ham DI, Kim SJ, Park YG, Chung TY. Differential Effect of the Metabolic Syndrome on the Incidence of Retinal Vein Occlusion in the Korean Population: A Nationwide Cohort Study. Transl Vis Sci Technol 2020; 9:15. [PMID: 33344059 PMCID: PMC7726586 DOI: 10.1167/tvst.9.13.15] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/10/2020] [Indexed: 11/24/2022] Open
Abstract
Purpose To investigate the impact of the metabolic syndrome (METS) on the incidence of retinal vein occlusion (RVO). Methods This is a retrospective cohort study using Korean National Health Insurance System data. 23,153,600 subjects without previous history of RVO underwent a National Health Screening Program examination between 2009 and 2012. They were monitored for RVO development (registration of diagnostic code for RVO) until 2015. Presence of METS was defined using the data from the National Health Screening Program examination according to the revised criteria of the National Cholesterol Education Program Adult Treatment Panel III. A multivariate adjusted Cox regression analysis was used to reveal hazard ratios and 95% confidence interval for RVO development in the presence of METS. Results The age of the subjects was 47.64 ± 13.51 years. In this cohort, 11,747,439 (50.7%) were male, 11,406,161 (49.3%) were female, and 6,398,071 subjects (27.6%) were diagnosed with METS. The overall incidence of RVO was 0.947 per 1000 person-years. The adjusted hazard ratio of RVO in the presence of METS was 1.458 (95% confidence interval, 1.440–1.475; P < 0.001) after adjusting for age, sex, smoking status, alcohol consumption, physical activity, and income. Among all of the criteria for METS diagnosis, elevated blood pressure was the greatest risk for RVO development (adjusted hazard ratio, 1.610; 95% confidence interval, 1.589–1.631; P < 0.001). Conclusions METS and each of diagnostic criteria was associated with an increased risk of RVO development. Elevated blood pressure seems to be especially important factors for RVO development. Translational Relevance Our results provide information about the link between METS and RVO.
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Affiliation(s)
- Dong Hui Lim
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.,Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Kyoung Yoon Shin
- Department of Ophthalmology, Seongnam Citizens Medical Center, Seongnam, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Se Woong Kang
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Don-Il Ham
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Sang Jin Kim
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Yong Gyu Park
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Tae-Young Chung
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
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