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1From the Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia; the 2Centre for Vision Research, University of Sydney, Sydney, Australia; the 3Department of Community, Occupational, and Family Medicine and the 4Singapore Eye Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; the 5Singapore National Eye Center, Singapore; and the 6Department of Endocrinology, Singapore General Hospital, Singapore.
| Abstract |
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METHODS. The Singapore Malay Eye Study is a population-based, cross-sectional survey that included 3280 (78.7% response) persons aged 40 to 80 years. Retinal vascular caliber was measured from digital retinal photographs using a validated standardized protocol. Data on major cardiovascular risk factors were collected from all participants.
RESULTS. Of the 3019 participants with retinal vascular caliber data available, the mean retinal arteriolar caliber (CRAE) was 139.5 ± 15.7 µm (SD), and mean venular caliber (CRVE) was 219.3 ± 22.2 µm (SD). Smaller retinal arteriolar caliber was associated with higher current mean blood pressure and male sex (P < 0.001 for both). Larger retinal venular caliber was associated with younger age, current cigarette smoking, greater body mass index, higher glycosylated hemoglobin level, and lower HDL cholesterol (P = 0.012 for glycosylated hemoglobin level and P < 0.001 for other risk factors). The association of retinal arteriolar narrowing and blood pressure was stronger in younger people than in older people and in men than in women (P for interaction < 0.001 for both).
CONCLUSIONS. In this Asian population, smaller retinal arteriolar caliber was associated with hypertension and larger retinal venular caliber with cigarette smoking, dyslipidemia, hyperglycemia, and higher body mass index. The pattern of these associations is similar to that in white populations.
However, most studies have been conducted exclusively in whites3 4 7 8 9 14 or predominantly white populations,5 with only one study in an exclusively Asian population.6 There are well-recognized ethnic differences in the relationship between cardiovascular risk factors and large vessel atherosclerosis.15 In contrast, there are limited data on associations of cardiovascular risk factors with microvascular disease in nonwhite populations.6 Furthermore, few studies have examined the potential age and sex interactions of these relationships. Some have suggested that the role of microvascular disease may be more prominent in middle-aged persons (age, 43–69 years) than in older people (age,
70 years).16 For example, in the Blue Mountains Eye Study, the association of higher blood pressure with arteriolar narrowing diminished with increasing age,10 suggesting that aging may lead to local changes in vessel wall elasticity and reactivity that prevent the microcirculation from responding to changes brought on by blood pressure. However, whether the microvascular response to other cardiovascular risk factors also diminishes with aging is unknown. There is also a suggestion that retinal arteriolar caliber may be narrower in men than in women,5 which could be due to sex-specific effects of cardiovascular risk factors (e.g., diabetes),17 sex hormonal influence, or sex-related structural and functional differences in the vasculature.18
The purposes of this study were to describe the distribution of retinal vascular caliber and its associations with cardiovascular risk factors in an Asian population. We also examined potential age and sex interactions of retinal vascular caliber with blood pressure.
| Methods |
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Digital fundus photography was performed for 3264 (99.5% of the total study population) participants, of which 3193 (97.8%) had retinal photographs suitable for measurement of retinal vascular caliber. Of these, we excluded 174 participants with ungradable photographs of either eye, leaving 3019 participants who were considered eligible for this analysis (92.0% of the total 3280 participants).
Measurement of Retinal Vascular Caliber
All participants had their pupils dilated except those with known allergy to mydriatic eye drops and those with closed anterior chamber angles and intraocular pressure >21 mm Hg.19 After pupil dilation with tropicamide 1% and phenylephrine hydrochloride 2.5%, color fundus photographs were taken of both eyes in each participant, with a digital retinal camera (CR-DGi with a 10D SLR backing; Canon, Tokyo, Japan). Two retinal images of each eye were obtained, one centered on the optic disc and another centered on the fovea (Early Treatment of Diabetic Retinopathy Study [ETDRS] standard fields 1 and 2).
Retinal vascular caliber was measured at the Retinal Vascular Imaging Centre, the University of Melbourne with image-analysis software, as used in previous population-based studies.20 21 A trained grader, masked to participant characteristics, performed the vessel measurements on the optic disc–centered image of the right eye for most participants and of the left eye in those without gradable right eye images. The largest six arterioles and venules coursing through a zone between 0.5 and 1 disc diameter from the optic disc margin were measured. Images were considered ungradable if the largest six arterioles and venules could not be measured.22 Estimates were summarized as central arteriolar equivalent (CRAE) and central retinal venular equivalent (CRVE), representing the average diameter of arterioles and venules of the eye, respectively, by using a modification of the Parr-Hubbard formulas21 as described by Knudtson et al.22 These revised formulas have demonstrated clear superiority over the previous Parr-Hubbard formulas, providing more robust measurements that are independent of the number and the scale of retinal vessels measured.22 They use measurements from the same software (IVAN, University of Wisconsin, Madison, WI) as in previous population-based studies,20 21 but combine individual vessel measures differently, by an iterative procedure of pairing the largest vessels with the smallest and repeating until a single value, the central retinal vessel equivalent, is obtained.22
Intragrader reliability was assessed in 200 randomly selected retinal photographs, and the intraclass correlation coefficient (95% CI) was 0.99 (0.98–0.99) for CRAE and 0.94 (0.92–0.96) for CRVE.
Assessment of Cardiovascular Risk Factors
Participants underwent a standardized interview, systemic and ocular examination, and laboratory investigations. A detailed interviewer-administered questionnaire based on the Blue Mountains Eye Study was used to collect information about medical history (e.g., hypertension, diabetes, angina, myocardial infarction, and stroke), cigarette smoking (defined as current, past, or never), alcohol consumption (defined as ever or never), and current medications used (e.g., aspirin, oral steroids).4 23 Socioeconomic variables assessed included education, income levels, housing type, and marital status. Education was recorded as the highest number of years of schooling completed and was categorized as primary or lower (
6 years), secondary (7–10 years), or postsecondary (
11 years, including university education). Income level was defined as individual monthly income in US dollars (USD) and was divided into two categories: (1) low (from <USD680 to USD2040 or retired) and (2) high (>USD2040). The majority of Singaporeans live in government-built high-rise buildings, with the remainder in private estates. As a result, housing status was classified as one- to two-room, three- to four-room, or five-room public housing or private housing. Marital status was categorized as married, divorced or separated, never married, or widowed.
Height was measured in centimeters using a wall-mounted measuring tape. Weight was measured in kilograms with a digital scale (SECA, model 782-2321009; Vogel & Halke, Hamburg, Germany). Body mass index (BMI) was calculated as kg/m2. Blood pressure was taken with the participant seated and after 5 minutes of rest by using a digital automatic blood pressure monitor (Dinamap model Pro Series DP110X-RW, 100V2; GE Medical Systems Information Technologies, Inc., Milwaukee, WI) according to a protocol similar to that used in the Multi-ethnic Study of Atherosclerosis.24 Blood pressure was measured twice, 5 minutes apart. A third measurement was made if the systolic blood pressure differed by more than 10 mm Hg or the diastolic by more than 5 mm Hg. The mean between the two closest readings was then taken as the blood pressure of that individual. Mean arterial blood pressure (MABP) was calculated as two thirds of the diastolic blood pressure plus one third of the systolic value. Hypertension was defined as systolic blood pressure
140 mm Hg or diastolic blood pressure
90 mm Hg at examinations or physician diagnosis. Diabetes mellitus was defined as nonfasting glucose
11.1 mmol/L, use of diabetic medication, or self-reported history of diabetes.25
Nonfasting venous blood samples were collected and used to assess levels of serum lipids (total, HDL, and LDL cholesterol), glycosylated hemoglobin (HbA1C), serum creatinine, and glucose at the National University Hospital Reference Laboratory.19
Statistical Analysis
Retinal vascular caliber (CRAE and CRVE) was analyzed as continuous variables. We used analysis of covariance (ANCOVA) to estimate mean retinal vascular caliber associated with the presence versus absence of categorical variables (e.g., diabetes) or increasing quartiles of continuous variables (e.g., glucose levels) adjusted for age and sex. Tests for trend were determined by treating categorical risk factors (e.g., quartiles of glucose) as continuous ordinal variables in multiple linear regression models. We analyzed age both continuously and categorically (age groups: 40–49, 50–59, 60–69, and 70–80 years).
We constructed two multivariate models. First, in model 1, we constructed a model for CRAE initially including variables that were significantly associated with CRAE in age and sex analyses. Final variables were selected based on a stepwise backward approach, adjusting for age. We then constructed a similar model for CRVE based on variables significantly associated with CRVE in age and sex analyses. Second, in model 2, we preformed supplementary analysis by additional adjustment for the fellow retinal vessel caliber (i.e., CRVE was included as an independent variable in the model for CRAE, and vice versa), as previously described by Liew et al.26 to control for potential confounding from fellow vessel diameter. We calculated sequential R2 to indicate the contribution of each independent variable to the model. Data presented here are based on results from model 1, as results from model 2 were largely similar.
Finally, we investigated the potential interaction of risk factors with age and sex. Where interactions were statistically significant (P < 0.01), stratified analyses were performed by subgroup. All analyses were conducted with commercial software (Stata ver. 9.0; Stata Corp., College Station, TX).
| Results |
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Table 3 shows multivariate analyses (model 1) for retinal vascular caliber. Smaller retinal arteriolar caliber was associated with male sex and elevated MABP. Larger arteriolar caliber was associated with current cigarette smoking. In supplementary analyses (model 2), the associations of male sex and MABP with narrower retinal arteriolar caliber remained significant after further adjustment for retinal venular caliber, but the association of current cigarette smoking with wider arteriolar caliber was no longer present (data not shown). Larger retinal venular caliber was associated with younger age, current cigarette smoking, greater body mass index, higher HbA1c level, lower HDL cholesterol and lower income levels (model 1). After further adjusting for retinal arteriolar caliber, all associations remained significant except for the association of lower income with wider retinal venular caliber (model 2, P = 0.07, data not shown).
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Table 4 presents the results showing significant interaction of age and sex with MABP in relation to retinal arteriolar caliber. The relationship of narrower retinal arteriolar caliber to higher MABP was weaker with increasing age; with a decreasing trend in β-coefficients for MABP (–5.26, –4.44, –3.04, and –1.27, across the age groups of 40–49, 50–59, 60–69, and 70–80 years, respectively). Among persons with MABP levels <100 mm Hg, retinal arteriolar caliber narrowed with increasing age, but in persons with MABP >110 mm Hg, retinal arteriolar caliber significantly widened with increasing age. The relationship of narrower retinal arteriolar caliber and higher MABP was stronger in the men than in the women, with trend β-coefficient across four MABP groups of –4.35 for the men and –2.83 for the women, respectively.
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| Discussion |
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The association of retinal arteriolar narrowing and hypertension is well documented.1 2 In our study, the observed magnitude of the association between elevated blood pressure and smaller arteriolar caliber was similar to that demonstrated in other population-based studies of white persons.3 4 5 6 28 29 Besides blood pressure, we found few associations with arteriolar caliber. The association of current cigarette smoking with larger arteriolar caliber became nonsignificant after further adjustment for the fellow vascular caliber, suggesting the possibility of a confounding effect of retinal venular caliber on this association.26
We have shown that larger retinal venular caliber predicts incident stroke and coronary heart disease.9 The relationship of larger retinal venular caliber to current cigarette smoking, lower HDL cholesterol level, higher glycosylated hemoglobin, and higher BMI, all major cardiovascular risk factors, is consistent with previous data in white and black populations5 14 30 and supports the notion that larger venular caliber is a biomarker of adverse vascular risk in persons with diabetes and prediabetes.31 32 33 The finding that lower income was associated with larger venular caliber, independent of other risk factors, is interesting. Lower income, reflecting lower socioeconomic status, has been shown to affect health behavior and lifestyle patterns and is considered a surrogate for cardiovascular risk factors and other exposures.34 35
We have described an interaction between age, blood pressure, and retinal arteriolar caliber. The weaker association of higher blood pressure and narrower retinal arteriolar caliber in the older compared with the younger participants is consistent with previous observations among white persons in the Beaver Dam and Blue Mountains Eye studies.3 10 In addition, in persons with lower blood pressure, we showed that increasing age was associated with smaller arteriolar caliber; however, in persons with higher blood pressure, increasing age was independently associated with wider arteriolar caliber. This arteriolar "ballooning" effect associated with increasing blood pressure in older individuals has been described previously28 and may be related to cumulative fibrotic or atrophic arteriolar wall changes from both aging (and its related conditions) and blood pressure, with subsequent passive dilation.36
Our finding that retinal arteriolar caliber is wider in women than in men is similar to reports of some previous studies in whites and other ethnicities,4 5 although this has not been a consistent finding.37 We also found a stronger effect of blood pressure on retinal arteriolar narrowing in men than in women. We speculate that these findings reflect a protective effect of sex hormones on the microcirculation, consistent with a similar effect of estrogen on macrovascular disease.38 We should note, however, that previous studies lend little support to an effect of hormone replacement therapy or female reproductive parameters on retinal arteriolar caliber in elderly white women.39 40
Taken together, the range of cardiovascular risk factors considered in our analysis explained only 8.7% and 4.2%, respectively, of the variance in retinal arteriolar caliber and venular caliber. This suggests that many unmeasured and unknown factors (e.g., genetic factors and inflammatory markers) affect retinal vascular caliber.26 41
The strengths of our study include its population-based sample, the use of standardized retinal vascular caliber measurement from digital photographs, and detailed information on a range of risk factors and potential confounders. The findings in our study should be interpreted within the context of several potential limitations. First, the cross-sectional nature of our study and others does not provide temporal information or support for the associations. There are current plans for a prospective study. Second, blood glucose, HbA1c, and lipids were measured from nonfasting blood samples. Third, retinal vascular caliber measured using our imaging software may be influenced by the pulse cycle, although this variation is likely to bias associations toward the null.42 We obtained estimates of central retinal vascular caliber using the improved Knudtson formulas, which have been shown to be more robust than the previous Parr-Hubbard formulas, and this may partially explain some differences between our findings and those of other studies in which the Parr-Hubbard formulas were used.22 Finally, some variables (e.g., alcohol consumption, smoking, and education level) were obtained from self-reported questionnaires based on validated questionnaires used in other population-based studies, such as the Blue Mountains Eye Study, and are unlikely to be a major source of bias.
In conclusion, findings from this large Asian Malay population confirm observations in white, blacks, and Japanese populations that there are two distinct patterns of association for retinal arteriolar and venular caliber. Retinal arteriolar caliber is strongly related to blood pressure. Retinal venular caliber, in contrast, is related to cigarette smoking, lower HDL cholesterol, higher HbA1c levels, and greater BMI. Stronger effects of blood pressure on retinal arteriolar caliber were seen in men compared with women and in younger compared with older people. These findings add to the growing body of literature on the effects of blood pressure and cardiovascular factors on retinal vascular changes in diverse populations.
| Acknowledgements |
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| Footnotes |
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Submitted for publication November 11, 2007; revised January 6, 2008; accepted March 13, 2008.
Disclosure: C. Sun, None; G. Liew, None; J.J. Wang, None; P. Mitchell, None; S.M. Saw, None; T. Aung, None; E.S. Tai, None; T.Y. Wong, None
The publication costs of this article were defrayed in part by page charge payment. This article must therefore be marked "advertisement" in accordance with 18 U.S.C.
1734 solely to indicate this fact.
Corresponding author: Tien Yin Wong, Centre for Eye Research Australia, University of Melbourne, 32 Gisborne Street, Victoria 3002, Australia; twong{at}unimelb.edu.au.
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