Glaucoma is the leading cause of irreversible blindness in

Glaucoma Does Myopia Affect Angle Closure Prevalence Guangming Jin, 1 Xiaohu Ding, 1 Xinxing Guo, 1 Billy Heung Wing Chang, 1 Capucine Odouard, 1,2 and Mingguang He 1,3 1 State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China 2 Sydney Hospital & Sydney Eye Hospital, Sydney, Australia 3 Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia Correspondence: Mingguang He, Department of Preventive Ophthalmology, Zhongshan Ophthalmic Center, Guangzhou 510060, PR China; mingguang_he@yahoo.com. Submitted: March 20, 2015 Accepted: August 2, 2015 Citation: Jin G, Ding X, Guo X, Chang BHW, Odouard C, He M. How does myopia affect the prevalence of angle closure? A simulation study. Invest Ophthalmol Vis Sci. 2015;56:5714 5719. DOI:10.1167/iovs.15-16914 PURPOSE. To conduct a simulation study to estimate the prevalence of occludable angle (OA), a surrogate for primary angle closure glaucoma (PACG), with the increased rate of myopia in the Chinese population. METHODS. People with phakic eyes in Liwan Eye Study were included as the study sample. Anterior chamber depth (ACD) was measured before dilation by A-mode ultrasound and OA was evaluated with static gonioscopy. Random sampling was used to generate 50 cohorts with sample size of 200 for each of myopic rates 10%, 20%, 40%, 50%, and 135 for myopic rate 60%, according to the multinomial distribution. The mean ACD and OA rates of each cohort were calculated. Logistic function model of nonlinear least-squares estimation was used to predict the prevalence of OA. RESULTS. Data of the right eyes from 1160 subjects were qualified for analysis. The mean age was 64.2 6 9.5 years, with 43% being male. The prevalence of myopia and OA was 32.5% (95% confidence interval [CI], 29.8% 35.3%) and 10.3% (95% CI, 8.7% 12.2%), respectively. The mean ACD in the sampling cohorts increased from 2.68 mm to 2.74 mm when the prevalence of myopia increased from 10% to 60%. The projected prevalence of OA in the cohorts with myopia prevalence of 10%, 20%, 40%, 50%, and 60% was 11.1% (95% CI, 10.5% 11.8%), 10.7% (95% CI, 10.1% 11.4%), 9.9% (95% CI, 9.3% 10.5%), 9.3% (95% CI, 8.8% 9.9%), and 9.6% (95% CI, 8.9 10.3%), respectively. CONCLUSIONS. The increasing prevalence of myopia has minimal impact on the prevalence of OA. Keywords: myopia, occludable angle, primary closure angle glaucoma Glaucoma is the leading cause of irreversible blindness in the world. 1 3 Primary open angle glaucoma (POAG) has been reported to be the predominant type of glaucoma among African-derived populations 4 and white populations, 5 7 while primary angle closure glaucoma (PACG) appears to be more common in east Asian populations, 8 such as Mongolian, 9 Singaporean, 10 and Chinese. 11 Foster and Johnson estimated that PACG is approximately 10 times more visually destructive than POAG in China. 12 Short eye, shallow anterior chamber depth (ACD), and thickening lens have been identified as biometric characteristics for angle closure. 13 18 In contrast to these biometric features, myopic eyes tend to have deeper ACD, larger anterior chamber volumes, as well as longer axial lengths. This suggests that myopia is associated with decreased risk of developing PACG. The prevalence of myopia has been increased over the past few decades, especially in East Asians. 19 21 Among Singaporean adults aged over 40 years, the overall prevalence of myopia was reported to be 38.7%. 22 Such a trend was even prominent in the younger generations. In the sequential nationwide surveys conducted in Taiwan, the prevalence of myopia among the teenagers between 16 and 18 years has increased from 74% in 1983 to 84% in 2000. 23 In addition, the prevalence of myopia in freshmen at National Taiwan University reached 91.3% in 2005. 24 Whether the increasing prevalence of myopia would lead a commensurate reduction in the prevalence of PACG in the East Asian population remains unclear. To the best of our knowledge, no studies have been performed to examine the impact of increased rates of myopia on the prevalence of angle closure in the population perspective. The aim of this paper is to examine this relationship using a simulation study based on data collected in the Liwan Eye Study, a population-based study conducted in urban China. METHODS Ethical approval for this study was obtained from the Ethics Committee of the Zhongshan Ophthalmic Center, and approval was granted by the Research Governance Committee of Moorfields Eye Hospital and Liwan District government. All subjects were treated in accordance with the Declaration of Helsinki. Written informed consent was obtained from all participants after the nature of the study was explicated. Study procedures regarding field examinations have been described elsewhere in detail. 25 In brief, by using the cluster random sampling method, 1864 subjects aged 50 years and older were enrolled from Liwan District, Guangzhou, Guangdong Province. All the examinations of the 1405 participants were performed between September 2003 and February 2004. Noncycloplegic refraction was measured using a handheld Copyright 2015 The Association for Research in Vision and Ophthalmology, Inc. iovs.arvojournals.org j ISSN: 1552-5783 5714

How Does Myopia Affect Angle Closure Prevalence? IOVS j August 2015 j Vol. 56 j No. 9 j 5715 TABLE 1. SE, Prevalence of Myopia and OA, and ACD by Age in the Liwan Eye Study Age Groups No. SE, D* Myopia, % ACD, mm* OA, % 50 54 245 0.07 ( 1.06, 0.50) 33.5 (27.6 39.8) 2.82 (2.55, 3.06) 2.45 (0.90 5.25) 55 59 184 0.15 ( 0.61, 0.75) 26.6 (20.4 33.6) 2.73 (2.53, 2.95) 5.98 (3.02 10.4) 60 64 140 0.47 ( 0.67, 1.06) 25.7 (18.7 33.8) 2.63 (2.44, 2.87) 7.14 (3.48 12.7) 65 69 216 0.56 ( 1.11, 1.43) 33.8 (27.5 40.5) 2.66 (2.46, 2.89) 14.8 (10.4 20.3) 70 74 195 0.62 ( 0.87, 1.50) 28.7 (22.5 35.6) 2.64 (2.43, 2.88) 13.3 (8.90 18.9) 75 79 117 0.13 ( 1.97, 1.13) 41.9 (32.8 51.4) 2.55 (2.39, 2.75) 17.1 (10.8 25.2) 80 84 46 0.63 ( 1.50, 0.77) 54.4 (39.0 69.1) 2.57 (2.37, 2.83) 23.9 (12.6 38.8) >85 17 0.32 ( 1.76, 0.75) 41.2 (18.4 67.1) 2.55 (2.27, 2.73) 23.5 (6.81 49.9) All 1160 0.19 ( 0.94, 1.06) 32.5 (29.8 35.3) 2.67 (2.46, 2.92) 10.3 (8.65 12.2) P <0.001 0.002 <0.001 <0.001 * Spherical equivalent and ACD were presented as median (25th, 75th percentiles). Myopia and OA were presented as percentage prevalence (95% confidence interval [CI]). autorefractor (ARK-30; Nidek Corp., Gamagori, Japan). Eight refraction values with a machine-calculated confidence index were produced by the autorefractor. An error was recorded by the examiner if the handheld autorefractor failed to give valid readings. Gonioscopy was performed using a Goldmann-type, onemirror lens (Haag Streit Dignostics, Bern, Switzerland) before other biometric measurement so that the observation of the examiner would not be affected by the biometry. In detail, gonioscopy was performed by an experienced ophthalmologist (MH) at 325 magnification with low ambient illumination. The overall angle status of each subject was classified as occludable or nonoccludable. In epidemiologic studies, occludable angle (OA) is synonymous with narrow angle and suspect primary angle closure (PAC) and is usually considered as a predictive index of angle closure. 25,26 Occludable angle was defined as anterior drainage angles with over 2708 of the posterior trabecular meshwork hidden from view during static gonioscopy. 27,28 Anterior chamber depth, defined as the distance from anterior corneal epithelial surface to the anterior lens capsule, was measured before pharmacologic dilation of the pupils using A-mode ultrasound (Echoscan US1800; Nidek Corp.). The best trace from 10 individual measurements for each parameter was taken. The records with greatest variation were deleted when the standard deviation was greater than 0.13 mm, and the measurements were repeated. The ACD records obtained from this measurement included the corneal thickness according to the operation protocol. All data in this study were presented for the right phakic eyes only, and spherical equivalent (SE; sphere þ 1/2 cylinder) data from autorefraction were used for analysis. Myopia was defined as SE less than 0.5 diopter (D). Several subcohorts with predefined prevalence of myopia at 10%, 20%, 40%, 50%, and 60% were randomly drawn from the sampling according to the multinomial distribution from the eligible data. The sampling procedure was performed using R software (The R Foundation for Statistical Computing, Vienna, Austria). Fifty subcohorts were drawn for each predefined rate of myopia. Normality was checked with a skewness test. Since the SE and ACD data were not normally distributed, a Kruskal-Wallis test was used for analysis of variance among different groups. A Mann-Whitney U test was applied to analyze the variance of age-specific prevalence of myopia as well as age-specific prevalence of OA. A logistic function model of nonlinear least-squares estimation was fitted to assess the expected relationship between the proportion of OA and ACD and to estimate the age-specific prevalence of OA with different rates of myopia. All data analyses were performed by Stata 12.0 (Stata Corp., College Station, TX, USA). RESULTS The whole study population included a total of 1864 eligible subjects; among them 1405 (75.3%) subjects aged 50 years or older were successfully examined. A total of 245 subjects were excluded, which consisted of subjects with data missing either on refraction (145), ocular biometry (64), or gonioscopy (3), as well as subjects with aphakic or pseudophakic eyes (33). This provided 1160 subjects aged 50 to 91 years eligible for analysis. Among the 1160 subjects, the mean age was 64.2 6 9.5 years, and 499 (43.0%) were men. There was no significant difference of mean age between men and women (t-test, P ¼ 0.411). Table 1 provides the age-specific SE, prevalence of myopia, measurements of ACD, and prevalence of OA. The distribution of SE was skewed (skewness-kurtosis tests, P < 0.001) in this population. The median, first and third quartiles were þ0.19 D, 0.94 D, and þ1.06 D, respectively. The Kruskal- Wallis test suggested that the SE distribution was associated with age (P < 0.001), which tended to be more hyperopic in those aged 55 to 74 years. The overall prevalence of myopia was 32.5% (95% confidence interval [CI], 29.8% 35.3%), and it varied among different age groups, with higher prevalence in those aged over 75 years than in the younger groups. Anterior chamber depth was also not normally distributed; the median, first, and third quartiles of ACD were also provided in Table 1. The overall prevalence of OA was 10.3% (95% CI, 8.6% 12.1%), and an increasing trend could be observed with age. The characteristics of different myopia groups acquired by sampling were summarized in Table 2. The relationship between mean ACD and different prevalence of myopia was illustrated in Figure 1. Mean ACD increased with rates of myopia, particularly when the prevalence of myopia increased from 10% to 20% and from 40% to 60%. The mean ACD in the six myopia cohorts with increasing prevalence were 2.68 mm, 2.70 mm, 2.70 mm, 2.71 mm, 2.72 mm, and 2.74 mm, respectively. In Figure 2, a group of Lowess curves depict the changing trends of age-specific ACD by different myopia cohorts. In each myopia cohort, the mean ACD showed a decreasing trend with age in an approximately linear fashion. With the increase of myopia prevalence, ACD increased in each age group, and OA percentage was predicted to be the lowest in the 60% myopia cohort. Figure 3 illustrates the relationship between OA prevalence and ACD. Anterior chamber depth was divided into six groups from 2.00 mm to 3.20 mm by an interval of 0.20 mm. A category representing ACD greater than 3.20 mm was also included. Figure 3 suggested that OA proportions increased rapidly from approximately 3% to 35% when ACD decreased from 2.60 mm to 2.00 mm. No significant changes in OA

How Does Myopia Affect Angle Closure Prevalence? IOVS j August 2015 j Vol. 56 j No. 9 j 5716 TABLE 2. SE, ACD, and Prevalence of OA in Simulated Myopia Cohorts With Different Prevalences Myopia, % No. Age, y SE, D* ACD, mm* AL, mm LT, mm AO, % 10 9,924 63.9 6 9.3 0.62 ( 0.06, 1.37) 2.64 (2.45, 2.88) 23.1 6 1.01 4.32 6 0.68 11.1 (10.5 11.8) 20 10,044 63.9 6 9.3 0.44 ( 0.32, 1.19) 2.66 (2.45, 2.91) 23.2 6 1.15 4.30 6 0.68 10.7 (10.1 11.4) 32.5 1,160 64.2 6 9.5 0.19 ( 0.94, 1.06) 2.67 (2.46, 2.92) 23.3 6 1.31 4.28 6 0.68 10.3 (8.65 12.2) 40 10,029 64.4 6 9.6 0.06 ( 1.37, 1.00) 2.68 (2.46, 2.93) 23.4 6 1.36 4.27 6 0.68 9.88 (9.30 10.5) 50 10,001 64.4 6 9.6 0.50 ( 1.94, 0.75) 2.69 (2.46, 2.94) 23.5 6 1.49 4.25 6 0.68 9.33 (8.77 9.92) 60 6,578 64.7 6 9.7 0.81 ( 2.44, 0.50) 2.71 (2.49, 2.96) 23.6 6 1.53 4.22 6 0.67 9.55 (8.85 10.3) AL, axial length. * Spherical equivalent and ACD were presented as median (25th, 75th percentiles). Occludable angle was presented as percentage prevalence (95% CI). proportions were observed when ACD was greater than 2.60 mm. The predictive age-specific rate of OA in different myopia cohorts was illustrated in Figure 4. In each myopia group, the rates of OA increased with age in an approximately linear fashion. The rates of OA increased slightly in each age group with increasing myopia prevalence. DISCUSSION To our knowledge, this study, to date, provides the first published data predicting the age-specific prevalence of OA with different rates of myopia in elderly Chinese aged 50 years and older based on a cohort from mainland China. In general, this simulation study found a mildly inverse association between the prevalence of myopia and the prevalence of OA, but the impact on the prevalence of angle closure was moderate when the prevalence of myopia increases from 30% to 60%. As previous studies reported, a shallower ACD has been considered as a risk factor for PACG, 15,29,30 and the measurement of ACD has been used as a screening tool for angle closure. 16,31,32 Myopia tends to be associated with deep ACD and has been regarded as a protective factor against angle closure. 17,33 Our research has previously confirmed that there is an inverse association between ACD and SE, and a mean decrease of 0.03 mm ACD per SE diopter was found. 14 Interestingly, although ACD increased with the elevation of myopia rate, the prevalence of OA was found to have changed very moderately across groups, dropping from 11.1% in a 10% myopia group to 9.6% in a 60% myopia group. There might be several explanations for the current findings. The four-parameter logistic function model of nonlinear least-squares estimation suggested that there is a clear threshold for ACD at around 2.6 mm, and OA is very uncommon when ACD is greater than this threshold. When ACD decreases from 2.6 mm to 2.0 mm, the rate of OA increases rapidly (Fig. 3). Similar observation has also been published by Aung et al. 13 in Mongolian people. In our study, the mean ACDs in different myopia cohorts ranged from 2.64 mm to 2.71 mm, which were all above the threshold, and this might explain the moderate increase of OA rates with the increase of the mean ACDs. Researchers have conducted substantial studies on the relationship between refractive status and angle closure. Some stated that axial myopia is characterized with elongation of the vitreous cavity length (VL) and axial length (AL), but not necessarily ACD. Yong et al. 34 found that among 427 angle-closure cases, a quarter of them manifested myopia, and these myopic angle closure cases tended to have longer AL and VL in comparison with emmetropic and hyperopic angle closure cases. This may explain the phenomenon that although the Chinese population has a much higher prevalence of myopia compared with European populations, they also have a higher prevalence of angle closure. 13,35,36 FIGURE 1. Association of predicted anterior chamber depth (mm) in simulated cohorts with different prevalence of myopia.

How Does Myopia Affect Angle Closure Prevalence? IOVS j August 2015 j Vol. 56 j No. 9 j 5717 FIGURE 2. Lowess curves of anterior chamber depth (mm) as a function of age by sampling cohorts with different myopia prevalence. The actual prevalence of myopia in the Liwan Eye Study was 32.5%. True ACD is regarded as the distance between the anterior surface of the lens and the posterior surface of cornea along the visual axis, which is determined by the position of the anterior lens surface and the height of the corneal dome. Friedman et al. 37 reported that lens thickness was the most cardinal determinant. When comparing normal controls and the contralateral eyes of acute PAC, only a small difference (4%) was found on relative lens position in Singaporean Chinese. Based on a case-control study in Australian Caucasians, Lowe 38 estimated that lens thickness could explain 35% of the variation in ACD, and the remaining 65% was probably due to a more anteriorly positioned lens. All of these studies suggest that shallow anterior chamber is a risk factor of OA and the subsequent angle closure, regardless of the refractive status of the eye. Our research has the advantage of being a population-based study with a reasonably large sample size, thus presenting a representative sample of the Chinese population. Given that it is not possible to obtain comparable cohorts with varied rates of myopia, we performed repeated sampling according to the multinomial distribution from the eligible database and acquired the needed data that best simulate the cohorts with various rate of myopia. This may not fully apply to the realworld situation. The distribution of ACD may depend on not only the myopic rates but also the severity of myopia. In this study, we did not attempt to simulate the impact of severity of myopia in terms of degree of diopter because there are too many possibilities and scenarios. On the other hand, certain manifest myopia in older people, such as those 60 years and older, may be attributable to refractive index changes FIGURE 3. interval. Simulated curve of the association between the prevalence of OA (%) and mean ACD (mm) from 2.00 mm to 3.4 mm, with 0.2-mm

How Does Myopia Affect Angle Closure Prevalence? IOVS j August 2015 j Vol. 56 j No. 9 j 5718 FIGURE 4. Predicted age-specific prevalence of OA (%) in cohorts with different rate of myopia. The actual prevalence of myopia in the Liwan Eye Study was 32.5%. secondary to lens nucleus sclerosis. Therefore, the identified association between ACD and myopic rates may not fully represent the true association in the scenario of purely axial myopia, although as indicated in Table 2, axial length did increase with the myopic rates in the simulation cohorts. Another potential limitation of this study is that the predictive prevalence of OA among different myopia cohorts may be population specific; thus, the conclusion may not be generalizable to different populations. Further research with larger sample sizes and better designs is needed. In summary, our study is, to our knowledge, the first simulation study on age-specific prevalence of OA by different rates of myopia in the Chinese population. We predict that with the elevated prevalence of myopia, the prevalence of OA would be decreased, but at a very moderate rate of change, even when the myopia rates double from 30% to 60%. We deduce that ACD would override refractive error as a risk factor for OA or angle closure. Primary angle closure glaucoma rates would remain high in the Chinese population even when myopia rates increase substantially, and therefore PACG may deserve the same level of public health attention in the future, even when myopia is getting more common than ever before. Acknowledgments Supported by the Fundamental Research Funds of the State Key Laboratory in Ophthalmology, National Natural Science Foundation of China, Grant 81125007. The Centre for Eye Research Australia receives operational infrastructural support from the Victorian Government. The authors alone are responsible for the content and writing of the paper. Disclosure: G. Jin, None; X. Ding, None; X. Guo, None; B.H.W. Chang, None; C. Odouard, None; M. He, None References 1. Quigley HA. Number of people with glaucoma worldwide. Br J Ophthalmol. 1996;80:389 393. 2. Resnikoff S, Pascolini D, Etya ale D, et al. Global data on visual impairment in the year 2002. Bull World Health Organ. 2004; 82:844 851. 3. Thylefors B, Negrel AD. The global impact of glaucoma. Bull World Health Organ. 1994;72:323 326. 4. Buhrmann RR, Quigley HA, Barron Y, West SK, Oliva MS, Mmbaga BB. Prevalence of glaucoma in a rural East African population. Invest Ophthalmol Vis Sci. 2000;41:40 48. 5. Bengtsson B. The prevalence of glaucoma. Br J Ophthalmol. 1981;65:46 49. 6. Wensor MD, McCarty CA, Stanislavsky YL, Livingston PM, Taylor HR. The prevalence of glaucoma in the Melbourne Visual Impairment Project. Ophthalmology. 1998;105:733 739. 7. Hollows FC, Graham PA. Intra-ocular pressure, glaucoma, and glaucoma suspects in a defined population. Br J Ophthalmol. 1966;50:570 586. 8. Cho HK, Kee C. Population-based glaucoma prevalence studies in Asians. Surv Ophthalmol. 2014;59:434 434. 9. Foster PJ, Baasanhu J, Alsbirk PH, Munkhbayar D, Uranchimeg D, Johnson GJ. Glaucoma in Mongolia. A population-based survey in Hovsgol province, northern Mongolia. Arch Ophthalmol. 1996;114:1235 1241. 10. Yip JL, Foster PJ. Ethnic differences in primary angle-closure glaucoma. Curr Opin Ophthalmol. 2006;17:175 180. 11. Song W, Shan L, Cheng F, et al. Prevalence of glaucoma in a rural northern China adult population: a population-based survey in Kailu County, Inner Mongolia. Ophthalmology. 2011;118:1982 1988. 12. Foster PJ, Johnson GJ. Glaucoma in China: how big is the problem? Br J Ophthalmol. 2001;85:1277 1282. 13. Aung T, Nolan WP, Machin D, et al. Anterior chamber depth and the risk of primary angle closure in 2 East Asian populations. Arch Ophthalmol. 2005;123:527 532. 14. He M, Huang W, Zheng Y, Alsbirk PH, Foster PJ. Anterior chamber depth in elderly Chinese: the Liwan eye study. Ophthalmology. 2008;115:1286 1290.e1 e2. 15. Foster PJ, Alsbirk PH, Baasanhu J, Munkhbayar D, Uranchimeg D, Johnson GJ. Anterior chamber depth in Mongolians: variation with age, sex, and method of measurement. Am J Ophthalmol. 1997;124:53 60. 16. Devereux JG, Foster PJ, Baasanhu J, et al. Anterior chamber depth measurement as a screening tool for primary angle-

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