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Ding Q, Wu H, Wang W, Xiong K, Gong X, Yuan G, Li T, Li Y, Liu H, Wang L, Huang W. Association of Body Mass Index and Waist-to-Hip Ratio With Retinal Microvasculature in Healthy Chinese Adults: An Optical Coherence Tomography Angiography Study. Am J Ophthalmol 2023; 246:96-106. [PMID: 36240858 DOI: 10.1016/j.ajo.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 09/14/2022] [Accepted: 09/20/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE To investigate the association of body mass index (BMI) and waist-to-hip ratio (WHR) with macular vessel density (VD) and foveal avascular zone (FAZ), using optical coherence tomography angiography (OCTA), in healthy Chinese adults. DESIGN Cross-sectional study. METHODS A total of 1555 Chinese adults aged ≥ 50 years with no history of ocular disease were recruited from communities in Guangzhou, China. The OCTA was performed with a 6 × 6 mm macular angiography model. The FAZ of the superficial capillary plexus (SCP), and VD of SCP and deep capillary plexus (DCP) were calculated. Univariable and multivariable linear regression analyses were used to evaluate the effect of BMI and WHR on VD and FAZ. RESULTS The VD of the SCP increased as BMI increased, with average measurements of 39.30 ± 2.14 for normal, 39.52 ± 2.07 for overweight, and 39.76 ± 2.03 for obesity (P = .001). The VD of the DCP also increased with increasing BMI (P = .009). Multiple regression models confirmed a positive association between generalized obesity and superficial VD in the whole image (β = 0.350, P = .008), inner circle (β = 0.431, P = .032), and outer circle (β = 0.368, P = .005). After adjusting for confounders, tertile 3 of the WHR level was positively associated with superficial VD (β = 0.472, P = .033) and deep VD (β = 0.422, P = .034) only in the inner circle. CONCLUSIONS Generalized obesity was associated with increased superficial VD, while abdominal obesity was associated with increased superficial and deep VD only in the inner circle. Different manifestations of the retinal microvasculature may reflect distinct roles of body composition on macular vessel alterations and disease occurrence.
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Affiliation(s)
- Qiong Ding
- From 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 (Q.D, W.W., K.X., X.G., L.W., W.H.); The First People's Hospital of Zhaoqing, Zhaoqing City, China (Q.D., G.Y., T.L., Y.L.)
| | - Huimin Wu
- Shenzhen Children's Hospital, Shenzhen, Guangdong, China (H.W.)
| | - Wei Wang
- From 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 (Q.D, W.W., K.X., X.G., L.W., W.H.)
| | - Kun Xiong
- From 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 (Q.D, W.W., K.X., X.G., L.W., W.H.)
| | - Xia Gong
- From 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 (Q.D, W.W., K.X., X.G., L.W., W.H.)
| | - Guiliang Yuan
- The First People's Hospital of Zhaoqing, Zhaoqing City, China (Q.D., G.Y., T.L., Y.L.)
| | - Tengchao Li
- The First People's Hospital of Zhaoqing, Zhaoqing City, China (Q.D., G.Y., T.L., Y.L.)
| | - Youjia Li
- The First People's Hospital of Zhaoqing, Zhaoqing City, China (Q.D., G.Y., T.L., Y.L.)
| | - Hua Liu
- Department of Ophthalmology, Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, China (H.L.).
| | - Lanhua Wang
- From 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 (Q.D, W.W., K.X., X.G., L.W., W.H.).
| | - Wenyong Huang
- From 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 (Q.D, W.W., K.X., X.G., L.W., W.H.)
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Kairaitis K, Amis TC, Perri R, Lee S, Drury A, Lambeth C, Mitchell P, Lindley RI, Wheatley JR. Sleep disordered breathing has minimal association with retinal microvascular diameters in a non-diabetic sleep clinic cohort. PLoS One 2023; 18:e0279306. [PMID: 36626381 PMCID: PMC9831323 DOI: 10.1371/journal.pone.0279306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 11/15/2022] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION Obstructive sleep apnea (OSA) may increase stroke risk; retinal arteriolar (central retinal arteriolar equivalent, CRAE) diameter narrowing and/or retinal venular (central retinal venule equivalent, CRVE) widening may predict stroke. We examined relationships between sleep disordered breathing (SDB) and CRAE and CRVE and in a diabetes-free sleep clinic cohort. METHODS Patients for SDB assessment were recruited (Main Group, n = 264, age: 58.5 ± 8.9 yrs [mean ± SD]; males: 141) for in-laboratory polysomnography (standard metrics, eg apnea hypopnea index, AHI) and retinal photographs (evening and morning). A more severe SDB sub-group (n = 85) entered a 12-month cardiovascular risk factor minimisation (hypertension/hypercholesterolemia control; RFM) and continuous positive airway pressure (CPAP) intervention (RFM/CPAP Sub-Group); successfully completed by n = 66 (AHI = 32.4 [22.1-45.3] events/hour, median[IQR]). Univariate (Spearman's correlation, t-test) and multiple linear regression models examined non-SDB and SDB associations with CRAE and CRVE measures. RESULTS Main Group: Evening CRAE predictors were: systolic blood pressure (0.18μm decrease per mmHg, p = 0.001), age (2.47μm decrease per decade, p = 0.012), Caucasian ethnicity (4.45 μm versus non-Caucasian, p = 0.011), height (0.24 μm decrease per cm increase, p = 0.005) and smoking history (3.08 μm increase, p = 0.052). Evening CRVE predictors were: Caucasian ethnicity (11.52 μm decrease versus non-Caucasian, p>0.001), diastolic blood pressure (0.34 μm increase in CRVE per mmHg, p = 0.001), hypertension history (6.5 μm decrease, p = 0.005), and smoking history (4.6 μm increase, p = 0.034). No SDB metric (all p>0.08) predicted CRAE or CRVE measures. RFM/CPAP Sub-Group: A one-unit increase in ln(AHI+1) was associated with a 0.046μm increase in CRAE (n = 85; p = 0.029). Mean evening CRAE and CRVE values did not change across the intervention (n = 66), but evening CRVE decreased ~6.0 μm for individuals with AHI >30 events/hr. CONCLUSION No major SDB associations with CRAE or CRVE were identified, although the RFM/CPAP intervention reduced evening CRVE for severe OSA patients. Implications for cerebro-vascular disease risk remain uncertain. TRIAL REGISTRATION The protocol was registered with the Australian New Zealand Clinical Trials Registry (Trial Id: ACTRN12620000694910).
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Affiliation(s)
- Kristina Kairaitis
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Westmead Clinical School, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Terence C. Amis
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Westmead Clinical School, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
- * E-mail:
| | - Rita Perri
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Sharon Lee
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Anne Drury
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Christopher Lambeth
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Paul Mitchell
- Faculty of Medicine and Health, University of Sydney, Westmead Clinical School, Westmead, New South Wales, Australia
- Department of Ophthalmology, Westmead Hospital, Sydney, New South Wales, Australia
- Centre for Vision Research, The Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Richard I. Lindley
- The George Institute for Global Health, Newtown, New South Wales, Australia
- Westmead Applied Research Centre, University of Sydney, Westmead, New South Wales, Australia
| | - John R. Wheatley
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Westmead Clinical School, Westmead, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
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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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Kushner-Lenhoff S, Li Y, Zhang Q, Wang RK, Jiang X, Kashani AH. OCTA Derived Vessel Skeleton Density Versus Flux and Their Associations With Systemic Determinants of Health. Invest Ophthalmol Vis Sci 2022; 63:19. [PMID: 35142788 PMCID: PMC8842473 DOI: 10.1167/iovs.63.2.19] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Purpose To examine the associations of optical coherence tomography angiography (OCTA)-derived retinal capillary flux with systemic determinants of health. Methods This is a cross-sectional study of subjects recruited from the African American Eye Disease Study. A commercially available swept-source (SS)-OCTA device was used to image the central 3 × 3 mm macular region. Retinal capillary perfusion was assessed using vessel skeleton density (VSD) and flux. Flux approximates the number of red blood cells moving through vessel segments and is a novel metric, whereas VSD is a previously validated measure commonly used to quantify capillary density. The associations of OCTA derived measures with systemic determinants of health were evaluated using multivariate generalized linear mixed-effects models. Results A total of 154 eyes from 83 participants were enrolled. Mean VSD and flux were 0.148 ± 0.009 and 0.156 ± 0.016, respectively. In a model containing age, systolic blood pressure, diabetes status, hematocrit, and presence of retinopathy as covariates, there was a negative correlation between VSD and age (P < 0.001) and retinopathy (P = 0.02), but not with hematocrit (P = 0.85) or other factors. There was a positive correlation between flux and hematocrit (P = 0.02), as well as a negative correlation for flux with age (P < 0.001), systolic blood pressure (P = 0.04), and diabetes status (P = 0.02). A 1% decrease in hematocrit was associated with the same magnitude change in flux as ∼1.24 years of aging. Signal strength was associated with flux (P < 0.001), but not VSD (P = 0.51). Conclusions SS-OCTA derived flux provides additional information about retinal perfusion distinct from that obtained with skeleton density-based measures. Flux is appropriate for detecting subclinical changes in perfusion in the absence of clinical retinopathy.
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Affiliation(s)
- Sam Kushner-Lenhoff
- Department of Ophthalmology, UW Medicine Eye Institute, University of Washington, Seattle, Washington, United States
| | - Yuandong Li
- Department of Biomedical Therapeutics, University of Washington, Seattle, Washington, United States
| | - Qinqin Zhang
- Department of Biomedical Therapeutics, University of Washington, Seattle, Washington, United States
| | - Ruikang K Wang
- Department of Biomedical Therapeutics, University of Washington, Seattle, Washington, United States
| | - Xuejuan Jiang
- Department of Ophthalmology, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, United States
| | - Amir H Kashani
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, United States
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Marques-Vidal P. I can't see your heart from here. Eur J Prev Cardiol 2021; 29:903. [PMID: 33693640 DOI: 10.1093/eurjpc/zwab039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
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