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Zeng X, Chen R, Zhang X, Su T, Wang Y, Hu Y, Shang X, Shi D, Yu H. Associations between a healthy lifestyle score and retinal neurovascular health. Br J Ophthalmol 2025:bjo-2024-326184. [PMID: 39929700 DOI: 10.1136/bjo-2024-326184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Accepted: 01/09/2025] [Indexed: 04/23/2025]
Abstract
AIMS To investigate the associations between a healthy lifestyle score and retinal neurovascular health, and explore whether lower inflammation levels mediate these associations. METHODS This study is based on the UK Biobank. The healthy lifestyle score ranged from 0 to 6 and comprised physical activity, diet, sleep duration, smoking status, alcohol consumption and bodyweight. Outcomes included retinal diseases (age-related macular degeneration (AMD) and retinal vascular occlusion (RVO)) from hospital admission records (378 648 participants), retinal vascular metrics from retinal photography (32 226 participants) and retinal neural metrics from optical coherence tomography (42 557 participants). An INFLA-score was used to characterise inflammation levels. RESULTS Participants with better healthy life score (scored from 5 to 6) were associated with a 29% lower risk of AMD, 25% lower risk of RVO, 2% increase in artery-to-vein ratio (AVR), 0.22 µm increase in central retinal artery equivalent, 0.36 µm decrease in central retinal vein equivalent (CRVE), 0.004 increase in fractal dimension, 0.38 µm increase in retinal nerve fibre layer, 0.69 µm increase in ganglion cell-inner plexiform layer (GCIPL) and 0.35 µm increase in photoreceptor segment (PS) compared with those with worst lifestyle score (scored from 0 to 1) (all ptrend<0.01). In addition, INFLA-score partially mediated the associations between healthy lifestyle score and increased risk of AMD (mediated proportion (MP): 14.8%), higher AVR (MP: 12.76%), narrower CRVE (MP: 24.49%), thicker GCIPL (MP: 4.97%) and thicker PS (MP: 26.86%). CONCLUSION Great adherence to a healthier lifestyle was associated with better retinal health in a dose-response manner. Lower inflammation partially mediated the association between a healthy lifestyle score and retinal health.
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Affiliation(s)
- Xiaomin Zeng
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Ruiye Chen
- The Ophthalmic Epidemiology Department, Centre for Eye Research Australia, Melbourne, Victoria, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Ting Su
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yaxin Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- The Ophthalmic Epidemiology Department, Centre for Eye Research Australia, Melbourne, Victoria, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Hong Kong, Hong Kong, China
| | - Danli Shi
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Hong Kong, Hong Kong, China
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, Guangdong, China
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2
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van der Heide FCT, Mokhtar S, Khanna A, Said M, Henry RMA, Kroon AA, Dagnelie PC, Eussen SJPM, Berendschot TTJM, Schouten JSAG, Schram MT, van der Kallen CJH, van Greevenbroek MMJ, Wesselius A, Savelberg HHCM, Schaper NC, Webers CAB, Stehouwer CDA. Retinal Functional and Structural Neural Indices: Potential Biomarkers for the Monitoring of Cerebral Neurodegeneration: The Maastricht Study. J Alzheimers Dis 2023:JAD230104. [PMID: 37182886 DOI: 10.3233/jad-230104] [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] [Indexed: 05/16/2023]
Abstract
BACKGROUND If retinal indices of neurodegeneration are to be biomarkers for the monitoring of cerebral neurodegeneration, it is important to establish whether potentially modifiable risk factors for dementia are associated with retinal neurodegenerative changes. OBJECTIVE To study associations of dementia risk factors with retinal sensitivity, an index of retinal neural function, and retinal nerve fiber layer (RNFL) thickness, an index of retinal neural structure. METHODS We used cross-sectional data from The Maastricht Study (up to 5,666 participants, 50.5% men, mean age 59.7), and investigated associations with regression analyses (adjusted for potential confounders). RESULTS Most risk factors under study (i.e., hyperglycemia, unhealthy diet, lower cardiorespiratory fitness, smoking, alcohol consumption, and hypertension) were significantly associated with lower retinal sensitivity and lower RNFL thickness. CONCLUSION Findings of this population-based study support the concept that retinal neural indices may be biomarkers for the monitoring of therapeutic strategies that aim to prevent early-stage cerebral neurodegeneration and, ultimately, dementia.
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Affiliation(s)
- Frank C T van der Heide
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Sara Mokhtar
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Anjani Khanna
- Department of Ophthalmology, Sharpsight eye hospital, New Delhi, India
| | - Mozhda Said
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Ronald M A Henry
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- Heart and Vascular Centre, MUMC+ Maastricht, The Netherlands
| | - Abraham A Kroon
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Pieter C Dagnelie
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Simone J P M Eussen
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Epidemiology, UM, The Netherlands
- CAPHRI Care and Public Health Research Institute, UM, The Netherlands
| | - Tos T J M Berendschot
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Jan S A G Schouten
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
- Department of Ophthalmology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Miranda T Schram
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- Heart and Vascular Centre, MUMC+ Maastricht, The Netherlands
| | - Carla J H van der Kallen
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Marleen M J van Greevenbroek
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Anke Wesselius
- Department of Genetics and Cell Biology, Complex Genetics, UM, The Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, UM, The Netherlands
| | - Hans H C M Savelberg
- NUTRIM School for Nutrition and Translational Research in Metabolism, UM, The Netherlands
- Department of Nutrition and Movement Sciences, UM, The Netherlands
| | - Nicolaas C Schaper
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Social Medicine, MUMC+, The Netherlands
- Department of Internal Medicine, Division of Endocrinology and Metabolic Disease, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Carroll A B Webers
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
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Chen Y, Yuan Y, Zhang S, Yang S, Zhang J, Guo X, Huang W, Zhu Z, He M, Wang W. Retinal nerve fiber layer thinning as a novel fingerprint for cardiovascular events: results from the prospective cohorts in UK and China. BMC Med 2023; 21:24. [PMID: 36653845 PMCID: PMC9850527 DOI: 10.1186/s12916-023-02728-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/05/2023] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Retinal structural abnormalities have been found to serve as biomarkers for cardiovascular disease (CVD). However, the association between retinal nerve fiber layer (RNFL) thickness and the incidence of CVD events remains inconclusive, and relevant longitudinal studies are lacking. Therefore, we aimed to examine this link in two prospective cohort studies. METHODS A total of 25,563 participants from UK Biobank who were initially free of CVD were included in the current study. Another 635 participants without retinopathy at baseline from the Chinese Guangzhou Diabetes Eye Study (GDES) were adopted as the validation set. Measurements of RNFL thickness in the macular (UK Biobank) and peripapillary (GDES) regions were obtained from optical coherence tomography (OCT). Adjusted hazard ratios (HRs), odd ratios (ORs), and 95% confidence intervals (CI) were calculated to quantify CVD risk. RESULTS Over a median follow-up period of 7.67 years, 1281 (5.01%) participants in UK Biobank developed CVD events. Each 5-μm decrease in macular RNFL thickness was associated with an 8% increase in incident CVD risk (HR = 1.08, 95% CI: 1.01-1.17, p = 0.033). Compared with participants in the highest tertile of RNFL thickness, the risk of incident CVD was significantly increased in participants in the lowest thickness tertile (HR = 1.18, 95% CI: 1.01-1.38, p = 0.036). In GDES, 29 (4.57%) patients developed CVD events within 3 years. Lower average peripapillary RNFL thickness was also associated with a higher CVD risk (OR = 1.35, 95% CI: 1.11-1.65, p = 0.003). The additive net reclassification improvement (NRI) was 21.8%, and the absolute NRI was 2.0% by addition of RNFL thickness over the Framingham risk score. Of 29 patients with incident CVD, 7 were correctly reclassified to a higher risk category while 1 was reclassified to a lower category, and 21 high risk patients were not reclassified. CONCLUSIONS RNFL thinning was independently associated with increased incident cardiovascular risk and improved reclassification capability, indicating RNFL thickness derived from the non-invasive OCT as a potential retinal fingerprint for CVD event across ethnicities and health conditions. TRIAL REGISTRATION ISRCTN 15853192.
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Affiliation(s)
- Yanping Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Yixiong Yuan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shiran Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shaopeng Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Junyao Zhang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne. Level 7, 32 Gisborne Street, East Melbourne, VIC, 3002, Australia
| | - Xiao Guo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne. Level 7, 32 Gisborne Street, East Melbourne, VIC, 3002, Australia.
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne. Level 7, 32 Gisborne Street, East Melbourne, VIC, 3002, Australia.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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4
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Wang YN, Wang YX, Zhou JQ, Wan QQ, Fang LJ, Wang HW, Yang JY, Dong L, Wang JY, Yang X, Yan YN, Wang Q, Wu SL, Chen SH, Zhu JY, Wei WB, Jonas JB. Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population. Int J Ophthalmol 2023; 16:427-433. [PMID: 36935788 PMCID: PMC10009594 DOI: 10.18240/ijo.2023.03.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 01/18/2023] [Indexed: 03/06/2023] Open
Abstract
AIM To investigate the risk and protective factors associated with the retinal nerve fiber layer defect (RNFLD) in a Chinese adult population. METHODS This study was a cross-sectional population-based investigation including employees and retirees of a coal mining company in Kailuan City, Hebei Province. All the study participants underwent a comprehensive systemic and ophthalmic examination. RNFLD was diagnosed on fundus photographs. Binary logistic regression was used to investigate the risk and protective factors associated with the RNFLD. RESULTS The community-based study included 14 440 participants. There were 10 473 participants in our study, including 7120 males (68.0%) and 3353 females (32.0%). The age range was 45-108y, averaging 59.56±8.66y. Totally 568 participants had RNFLD and the prevalence rate was 5.42%. A higher prevalence of RNFLD was associated with older age [P<0.001, odds ratio (OR): 1.032; 95% confidence interval (CI): 1.018-1.046], longer axial length (P=0.010, OR: 1.190; 95%CI: 1.042-1.359), hypertension (P=0.007, OR: 0.639; 95%CI: 0.460-0.887), and diabetes mellitus (P=0.019, OR: 0.684; 95%CI: 0.499-0.939). The protective factors of RNFLD were visual acuity (P=0.038, OR: 0.617; 95%CI: 0.391-0.975), and central anterior chamber depth (P=0.046, OR: 0.595; 95%CI: 0.358-0.990). CONCLUSION In our cross-sectional community-based study, with an age range of 45-108y, RNFLD is associated with older age, longer axial length, hypertension, and diabetes mellitus. The protective factors of RNFLD are visual acuity and central anterior chamber depth. These can help to predict and evaluate RNFLD related diseases and identify high-risk populations early.
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Affiliation(s)
- Ye-Nan Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
- Department of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Ya-Xing Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Jin-Qiong Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Qian-Qian Wan
- Department of Ophthalmology, the Second Hospital of Anhui Medical University, Hefei 230011, Anhui Province, China
| | - Li-Jian Fang
- Department of Ophthalmology, Beijing Liangxiang Hospital, Capital Medical University, Beijing 102401, China
| | - Hai-Wei Wang
- Department of Ophthalmology, Fuxing Hospital, Capital Medical University, Beijing 100045, China
| | - Jing-Yan Yang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Jin-Yuan Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Xuan Yang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Yan-Ni Yan
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Qian Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Shou-Ling Wu
- Cardiology Department, Kailuan General Hospital, Tangshan 063001, Hebei Province, China
| | - Shuo-Hua Chen
- Health Care Center, Kailuan Group, Tangshan 063000, Hebei Province, China
| | - Jing-Yuan Zhu
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Wen-Bin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Jost B. Jonas
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karls-University of Heidelberg, Heidelberg 68167, Germany
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Betzler BK, Sabanayagam C, Tham YC, Cheung CY, Cheng CY, Wong TY, Nusinovici S. Retinal Vascular Profile in Predicting Incident Cardiometabolic Diseases among Individuals with Diabetes. Microcirculation 2022; 29:e12772. [PMID: 35652745 DOI: 10.1111/micc.12772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/12/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To determine the longitudinal associations between retinal vascular profile (RVP) and four major cardiometabolic diseases; and to quantify the predictive improvements when adding RVP beyond traditional risk factors in individuals with diabetes. METHODS Subjects were enrolled from the Singapore Epidemiology of Eye Disease (SEED) study, a multi-ethnic population-based cohort. Four incident cardiometabolic diseases, calculated over a ~6-year period, were considered: cardiovascular disease (CVD), hypertension (HTN), diabetic kidney disease (DKD) and hyperlipidaemia (HLD). The RVP - vessel tortuosity, branching angle, branching coefficient, fractal dimension, vessel calibre, and DR status - was characterized at baseline using a computer-assisted program. Traditional risk factors at baseline included age, gender, ethnicity, smoking, blood pressure (BP), HbA1c, estimated glomerular filtration rate (eGFR) or cholesterol. The improvements in predictive performance when adding RVP (compared to only traditional risk factors) was calculated using several metrics including area under the receiver operating characteristics curve (AUC) and Net Reclassification Improvement (NRI). RESULTS Among 1,770 individuals with diabetes, incidences were 6.3% (n=79/1259) for CVD, 48.7% (n=166/341) for HTN, 14.6% (n=175/1199) for DKD, and 59.4% (n=336/566) for HLD. DR preceded the onset of CVD (RR 1.85[1.14;3.00]) and DKD (1.44 [1.06;1.96]). Narrower arteriolar calibre preceding the onset of HTN (0.84 [0.72;0.99]), and changes in arteriolar branching angle preceded the onset of CVD (0.78 [0.62;0.98]) and HTN (1.15 [1.03;1.29]). The largest predictive improvement was found for HTN with AUC increment of 3.4% (p=0.027) and better reclassification of 11.4% of the cases and 4.6% of the controls (p=0.008). CONCLUSION We found that RVPs improved the prediction of HTN in individuals with diabetes, but add limited information for CVD, DKD and HLD predictions.
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Affiliation(s)
- Bjorn Kaijun Betzler
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, National University of Singapore, Singapore
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, National University of Singapore, Singapore
| | - Carol Y Cheung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, National University of Singapore, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, National University of Singapore, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Simon Nusinovici
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, National University of Singapore, Singapore
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6
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Ceylan OM, Yılmaz M, Yilmaz H, Çelikay O, Köylü MT, Turan A. Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as inflammation markers in patients with papilledema due to idiopathic intracranial hypertension. Indian J Ophthalmol 2021; 69:1499-1505. [PMID: 34011728 PMCID: PMC8302273 DOI: 10.4103/ijo.ijo_2030_20] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Purpose: The aim of this study was to investigate the role of inflammation in the pathogenesis of idiopathic intracranial hypertension (IIH) using the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as inflammation markers. Methods: The files of 33 IIH patients and 33 controls were screened for this retrospective study. For each patient, the NLR and PLR values were calculated using a single fasting blood sample. For both eyes, papilledema (PE) grades, best-corrected visual acuity (BCVA), retinal nerve fiber layer thickness (RNFLT), and ganglion cell layer thickness (GCLT) measurements were recorded along with the demographic data, including body mass index (BMI), and complete neurological and ophthalmological findings. Comparisons between the two groups and between the IIH patients with and without PE were made. The associations of NLR and PLR with all other parameters were analyzed independently from age, gender, and BMI. Results: NLR and PLR were higher in patients with IIH than controls (P < 0.05). They were also higher in patients with PE (P < 0.05) in the IIH group. NLR and PLR were found to be associated with BCVA (P < 0.001 and P = 0.023, respectively), global RNFLT (P = 0.004 and 0.012, respectively), RNFLT of the temporal quadrant (P < 0.001 and P = 0.042, respectively) and PE grade (P < 0.001 and P = 0.035, respectively). Conclusion: The NLR and PLR values and their associations with BCVA, RNFLT, and PE support the hypothesis that inflammation is a very important component of the pathogenesis of IIH.
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Affiliation(s)
- Osman Melih Ceylan
- Department of Ophthalmology, Gulhane Medical Faculty, Health Sciences University, Ulucanlar Training and Research Hospital, Ankara, Turkey
| | - Mevlüt Yılmaz
- Department of Ophthalmology, Health Sciences University, Ulucanlar Training and Research Hospital, Ankara, Turkey
| | - Hayati Yilmaz
- Department of Ophthalmology, Umraniye Training and Research Hospital, Health Sciences University, Istanbul, Turkey
| | - Osman Çelikay
- Department of Ophthalmology, Dıskapi Training and Research Hospital, Health Sciences University, Ankara, Turkey
| | - Mehmet Talay Köylü
- Department of Ophthalmology, Gulhane Medical Faculty, Health Sciences University, Ulucanlar Training and Research Hospital, Ankara, Turkey
| | - Aynur Turan
- Department of Radiology, Dıskapi Training and Research Hospital, Health Sciences University, Ankara, Turkey
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7
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Wang D, Zhang Q, Wang A, Wu S, Zhao X. Ideal Cardiovascular Health Metrics on the New Occurrence of Peripheral Artery Disease: A Prospective Cohort Study in Northern China. Sci Rep 2020; 10:9660. [PMID: 32541812 PMCID: PMC7296034 DOI: 10.1038/s41598-020-66578-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 05/24/2020] [Indexed: 12/20/2022] Open
Abstract
Peripheral artery disease (PAD) is a common atherosclerotic disease which could lead to severe cardiovascular and cerebrovascular events. Previous studies have indicated the ideal cardiovascular health (ICVH) was associated with many atherosclerotic diseases and cardiovascular events. This study aimed to find out the relationship between ICVH metrics and the new occurrence of PAD. We collected information of baseline from 2010 on the seven ICVH metrics (including smoking, body mass index, dietary intake, physical activity, blood pressure, total cholesterol and fasting blood glucose); and assessed PAD by ankle brachial index among the enrolled participants. The relationship between the ICVH metrics and new occurrence of PAD was analyzed using the multivariate logistic regression in 2018. There were 214 participants were diagnosed with the new occurrence of PAD during the follow-up visit. Participants with PAD tend to be older, with a lower level of education and a higher morbidity of hypertension. Among the seven ICVH metrics, BMI seems to be the most sensitive metric to the occurrence of PAD after adjusting the other risk factors (HR (95% CI) = 0.704 (0.529-0.937), P = 0.0163). We further found out as the number of ICVH metric increased, the morbidity of PAD decreased gradually (HR (95% CI) = 0.888 (0.801-0.984), P for trend= 0.0240). There is no difference between different age and gender groups. The ICVH metrics affect the new occurrence of PAD in a Chinese population. It enhances the importance of ideal health behaviors and factors in the prevention of PAD.
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Affiliation(s)
- Dandan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Qian Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, Tangshan, China.
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, China. .,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China. .,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
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