April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Novel Prediction Model for Angle Width in Chinese Singaporeans
Author Affiliations & Notes
  • Li Lian Foo
    Duke-NUS Graduate Medical School, Singapore, Singapore
  • Monisha E. Nongpiur
    Singapore Eye Research Institute, Singapore, Singapore
  • Mingguang He
    State Key Laboratory of Ophthalmology, Guangzhou, China
  • John C. Allen, Jr.
    Duke-NUS Graduate Medical School, Singapore, Singapore
  • Renyi Wu
    Singapore Eye Research Institute, Singapore, Singapore
  • Yingfeng Zheng
    Singapore Eye Research Institute, Singapore, Singapore
  • Seang M. Saw
    Singapore Eye Research Institute, Singapore, Singapore
    Department of Ophthalmology, Yong Loo Lin School of Medicine, Singapore, Singapore
  • Tien Y. Wong
    Singapore Eye Research Institute, Singapore, Singapore
    Department of Ophthalmology, Yong Loo Lin School of Medicine, Singapore, Singapore
  • Tin Aung
    Singapore Eye Research Institute, Singapore, Singapore
    Department of Ophthalmology, Yong Loo Lin School of Medicine, Singapore, Singapore
  • Footnotes
    Commercial Relationships  Li Lian Foo, None; Monisha E. Nongpiur, None; Mingguang He, None; John C. Allen, Jr., None; Renyi Wu, None; Yingfeng Zheng, None; Seang M. Saw, None; Tien Y. Wong, None; Tin Aung, Carl Zeiss Meditec (F, R)
  • Footnotes
    Support  Biomedical Research Council Grant 08/1/35/19/550
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 3064. doi:
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      Li Lian Foo, Monisha E. Nongpiur, Mingguang He, John C. Allen, Jr., Renyi Wu, Yingfeng Zheng, Seang M. Saw, Tien Y. Wong, Tin Aung; Novel Prediction Model for Angle Width in Chinese Singaporeans. Invest. Ophthalmol. Vis. Sci. 2011;52(14):3064.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : To investigate the association of recently identified anterior-segment optical coherence tomography (ASOCT) parameters with angle width; and to describe a novel mathematical model to predict angle width.

Methods: : Subjects were recruited from an on-going population based cross-sectional study of Chinese persons aged 40 years and older in Singapore. Participants underwent gonioscopy, A-scan biometry, and ASOCT (Carl Zeiss Meditec, Dublin, CA). Customized software (Zhongshan Angle Assessment Program, Guangzhou, China) was used to measure the ASOCT parameters. Linear regression modeling using the R-square, best subsets selection method was performed with trabecular-iris space area at 750µm (TISA750) and angle opening distance at 750µm (AOD750) as the dependent angle width variables. The optimal model consisted of the best ASOCT and A-scan subset of six predictors. Subsequently, a forward selection regression algorithm was used to test the improvement in the total R-square with the addition of each variable. Only right eye data of each subject was evaluated.

Results: : Complete data were available for 1067 subjects. The mean (standard deviation) age was 56.9 (8.5) years and 50.2% were male. Using TISA750 as the angle width parameter, the single best predictors among the ASOCT and A-scan independent variables were anterior chamber volume (ACV, R2 = 0.51), followed by anterior chamber area (ACA, R2=0.49) and lens vault (LV, R2=0.47). The best subset of 6 variables explained 81.4% of the variability in TISA750, and the fitted equation is given as TISA750=1.80065+0.01183*ACV-0.13922*ACW-0.29330*iris thickness at 750µm (IT750)-0.07677*ACA+0.09424* iris area (IAREA)-0.00011*LV. The best subset of 5 variables explained 78.2% of the variation in TISA750. The single best predictors of AOD750 as the angle width parameter was LV (R2 = 0.56), followed by ACA (R2=0.55) and ACV (R2=0.54). The best subset of 6 variables explained 85.3% of the variability in AOD750, and the fitted equation is given as AOD750=3.29363-0.01822*ACA 0.26610*ACW- 0.71949*IT750 0.01822*ACV-0.000215*LV+0.15463*IAREA.

Conclusions: : ACV and LV were the most important single variables for predicting angle width. The fitted regression equations obtained for predicting angle width warrants future research as a possible screening tool for narrow angles.

Keywords: imaging/image analysis: clinical • clinical (human) or epidemiologic studies: risk factor assessment • anterior segment 
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