Normative profiles of neuroretinal rim area in a multiethnic Asian population: the Singapore Epidemiology of Eye Diseases study

Aims To evaluate the normative profiles for neuroretinal rim area (RA) in a multiethnic Asian population. Methods Subjects were recruited from the Singapore Epidemiology of Eye Diseases (2009–2015) study and underwent standardised examinations. RA measurements were performed using Cirrus high-definition optical coherence tomography (Carl Zeiss Meditec). Multivariable linear regression with generalised estimating equation model was used to evaluate the associations between demographic, systemic and ocular factors with RA. Results A total of 9394 eyes from 5116 subjects (1724 Chinese, 1463 Malay, 1929 Indian) were included in the final analysis. The mean (±SD) of RA was 1.28 (±0.23) mm2 for Chinese, 1.33 (±0.26) mm2 for Malays, and 1.23 (±0.23) mm2 for Indians. The 5th percentile value for RA was 0.94 mm2 for Chinese, 0.96 mm2 for Malay, and 0.89 mm2 for Indian. In multivariable analysis, following adjustment for age, gender, body mass index, diabetes mellitus, hyperlipidaemia, history of cataract surgery, axial length, intraocular pressure (IOP) and disc area, Indian eyes have smaller RA when compared with Malays (β=−0.074; 95% CI −0.090 to −0.058; p<0.001) and Chinese (β=−0.035; 95% CI −0.051 to −0.019; p<0.001), respectively. Additionally, older age (per decade, β=−0.022), male gender (β=−0.031), longer axial length (per mm, β=−0.025), spherical equivalent (per negative dioptre, β=−0.005), higher IOP (per mm Hg, β=−0.009) were associated with smaller RA (all p≤0.004). Conclusion In this multiethnic population-based study, we observed significantly smaller RA in Indian eyes, compared with Chinese and Malays. This indicates the need of a more refined ethnic-specific RA normative databases among Asians.

[1]  T. Wong,et al.  Profiles of Ganglion Cell-Inner Plexiform Layer Thickness in a Multi-Ethnic Asian Population: The Singapore Epidemiology of Eye Diseases Study. , 2020, Ophthalmology.

[2]  T. Wong,et al.  Retinal Nerve Fiber Layer Thickness in a Multiethnic Normal Asian Population: The Singapore Epidemiology of Eye Diseases Study. , 2019, Ophthalmology.

[3]  Philip P. Chen,et al.  Spectral-Domain OCT: Helping the Clinician Diagnose Glaucoma: A Report by the American Academy of Ophthalmology. , 2018, Ophthalmology.

[4]  Hans Limburg,et al.  Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. , 2017, The Lancet. Global health.

[5]  T. Wong,et al.  Singapore Indian Eye Study‐2: methodology and impact of migration on systemic and eye outcomes , 2017, Clinical & experimental ophthalmology.

[6]  Teresa C. Chen,et al.  Facilitating Glaucoma Diagnosis With Intereye Retinal Nerve Fiber Layer Asymmetry Using Spectral-Domain Optical Coherence Tomography , 2016, Journal of glaucoma.

[7]  T. Wong,et al.  Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. , 2014, Ophthalmology.

[8]  J. Jonas,et al.  Retinal nerve fibre layer cross‐sectional area, neuroretinal rim area and body mass index , 2014, Acta ophthalmologica.

[9]  C. Qualls,et al.  Diagnostic precision of retinal nerve fiber layer and macular thickness asymmetry parameters for identifying early primary open-angle glaucoma. , 2013, American journal of ophthalmology.

[10]  P. Mitchell,et al.  Retinal nerve fiber layer and optic disc measurements by spectral domain OCT: normative values and associations in young adults , 2012, Eye.

[11]  P. Mitchell,et al.  Singapore Malay Eye Study: rationale and methodology of 6‐year follow‐up study (SiMES‐2) , 2012, Clinical & experimental ophthalmology.

[12]  Ming-Shien Chang,et al.  Effects of age and disc area on optical coherence tomography measurements and analysis of correlations between optic nerve head and retinal nerve fibre layer , 2012, Clinical & experimental optometry.

[13]  Y. Hwang,et al.  Glaucoma diagnostic ability of quadrant and clock-hour neuroretinal rim assessment using cirrus HD optical coherence tomography. , 2012, Investigative ophthalmology & visual science.

[14]  W. Feuer,et al.  Effect of race, age, and axial length on optic nerve head parameters and retinal nerve fiber layer thickness measured by Cirrus HD-OCT. , 2012, Archives of ophthalmology.

[15]  S. Stinnett,et al.  Body mass index has a linear relationship with cerebrospinal fluid pressure. , 2012, Investigative ophthalmology & visual science.

[16]  B. Morquette,et al.  The molecular basis of retinal ganglion cell death in glaucoma , 2012, Progress in Retinal and Eye Research.

[17]  J. Jonas,et al.  Cerebrospinal fluid pressure correlated with body mass index , 2012, Graefe's Archive for Clinical and Experimental Ophthalmology.

[18]  J. Jonas,et al.  Neuroretinal Rim Area and Body Mass Index , 2012, PloS one.

[19]  Tin Aung,et al.  Determinants of quantitative optic nerve measurements using spectral domain optical coherence tomography in a population-based sample of non-glaucomatous subjects. , 2011, Investigative ophthalmology & visual science.

[20]  G. Wollstein,et al.  Variation in optic nerve and macular structure with age and race with spectral-domain optical coherence tomography. , 2011, Ophthalmology.

[21]  D. Pascolini,et al.  Global estimates of visual impairment: 2010 , 2011, British Journal of Ophthalmology.

[22]  Douglas R. Anderson,et al.  Ability of cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes. , 2011, Ophthalmology.

[23]  P. Mitchell,et al.  Methodology of the Singapore Indian Chinese Cohort (SICC) Eye Study: Quantifying ethnic variations in the epidemiology of eye diseases in Asians , 2009, Ophthalmic epidemiology.

[24]  Joel S Schuman,et al.  Optic Nerve Head (ONH) Topographic Analysis by Stratus OCT in Normal Subjects: Correlation to Disc Size, Age, and Ethnicity , 2009, Journal of glaucoma.

[25]  C. Schmid,et al.  A new equation to estimate glomerular filtration rate. , 2009, Annals of internal medicine.

[26]  T. Wong,et al.  Diabetes, hyperglycemia, and central corneal thickness: the Singapore Malay Eye Study. , 2008, Ophthalmology.

[27]  J. Jonas,et al.  Size of the neuroretinal rim and optic cup and their correlations with ocular and general parameters in adult Chinese: the Beijing eye study , 2007, British Journal of Ophthalmology.

[28]  T. Wong,et al.  Rationale and Methodology for a Population-Based Study of Eye Diseases in Malay People: The Singapore Malay Eye Study (SiMES) , 2007, Ophthalmic epidemiology.

[29]  C. Lueck,et al.  CSF opening pressure: Reference interval and the effect of body mass index , 2006, Neurology.

[30]  G. Eknoyan,et al.  Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). , 2005, Kidney international.

[31]  G. Savini,et al.  Correlation between retinal nerve fibre layer thickness and optic nerve head size: an optical coherence tomography study , 2005, British Journal of Ophthalmology.

[32]  Jost B Jonas,et al.  Anatomic relationship between lamina cribrosa, intraocular space, and cerebrospinal fluid space. , 2003, Investigative ophthalmology & visual science.

[33]  G. Eknoyan,et al.  National Kidney Foundation Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification , 2003, Annals of Internal Medicine.

[34]  R. Poveda,et al.  Goodpasture syndrome during the course of a Schönlein-Henoch purpura. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[35]  Ethan M Balk,et al.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[36]  P. Foster,et al.  The definition and classification of glaucoma in prevalence surveys , 2002, The British journal of ophthalmology.

[37]  A. Hofman,et al.  Changing views on open-angle glaucoma: definitions and prevalences--The Rotterdam Study. , 2000, Investigative ophthalmology & visual science.

[38]  A. Hofman,et al.  Determinants of optic disc characteristics in a general population: The Rotterdam Study. , 1999, Ophthalmology.

[39]  R. Cumming,et al.  Asymmetry in optic disc parameters: the Blue Mountains Eye Study. , 1999, Investigative ophthalmology & visual science.

[40]  A. Sommer,et al.  Race-, age-, gender-, and refractive error-related differences in the normal optic disc. , 1994, Archives of ophthalmology.

[41]  Jost B. Jonas,et al.  Optic disc morphometry in chronic primary open-angle glaucoma , 1988, Graefe's Archive for Clinical and Experimental Ophthalmology.

[42]  Kdoqi Disclaimer K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[43]  J. Jonas,et al.  Pattern of glaucomatous neuroretinal rim loss. , 1993, Ophthalmology.