June 2020
Volume 61, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2020
Assessing the accuracy of a cataract incidence calculator using Liwan data
Author Affiliations & Notes
  • Qing Wen
    Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
  • Nathan G Congdon
    Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
  • Susan Lewallen
    Kilimanjaro Centre for Community Ophthalmology/University of Cape Town, South Africa
  • Elena Schmidt
    Sightsavers, West Sussex, United Kingdom
  • Mingguang He
    Centre for Eye Research Australia, University of Melbourne, Victoria, Australia
  • Lanhua Wang
    Centre for Eye Research Australia, University of Melbourne, Victoria, Australia
  • Hans Limburg
    Health Information Services, Netherlands
  • Footnotes
    Commercial Relationships   Qing Wen, None; Nathan Congdon, None; Susan Lewallen, None; Elena Schmidt, None; Mingguang He, None; Lanhua Wang, None; Hans Limburg, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 3859. doi:
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    • Get Citation

      Qing Wen, Nathan G Congdon, Susan Lewallen, Elena Schmidt, Mingguang He, Lanhua Wang, Hans Limburg; Assessing the accuracy of a cataract incidence calculator using Liwan data. Invest. Ophthalmol. Vis. Sci. 2020;61(7):3859.

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

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Abstract

Purpose : To assess for the first time the accuracy of a cataract incidence calculator using longitudinal data from the Liwan study. Using simple data such as could be obtained from a RAAB (Rapid Assessment of Avoidable Blindness), this incidence calculator enables service planners to estimate target cataract surgical rates (CSR) needed to eliminate the cataract backlog in their countries, which is crucial for planning.

Methods : The incidence rate is generally obtained through long-term cohort longitudinal studies, which are often expensive and impractical. A cataract incidence calculator was designed to utilize the data from RAAB, a widely used survey method to model the epidemiology of visually significant cataract and to estimate the incidence of cataract. So far there is no systematic research to test the cataract incidence calculator, the accuracy of its estimation has yet to be determined. In this research, we assessed the accuracy of the cataract incidence calculator using the survey data from a population-based study carried out in Liwan, Southern China. Liwan data has 2003-2004 baseline and a 5-year follow-up (2009) eye-examination results, both includes visual presenting acuity (PVA), best-corrected visual acuity in each eye (if PVA <6/12), lens examination, and the main cause of decreased VA. Using the Liwan baseline data, the incidence calculator estimated the cataract incidence at three different levels of visual acuity (VA<6/18, VA<6/60, VA<3/60) and the results were compared with actual cataract incidence in the follow-up data.

Results : 1061 participants aged 50 and above at baseline were included (male=473, 44.6%; female=588, 55.4%) as input, the estimated five-year annual incidence rate each year from the cataract incidence calculator is 0.0186 [95% CI 0.0137, 0.0228] for VA Level <6/18; 0.0086 [95% CI 0.0058, 0.0123] for VA Level <6/60; and 0.0087 [95% CI 0.0052, 0.0126] for VA Level <3/60. The actual incidence rates for each corresponding level are 0.0140 [95% CI 0.00844, 0.0196]; 0.00700 [95% CI 0.00308, 0.0109] and 0.00680 [95% CI 0.00293, 0.0107] respectively.

Conclusions : The validation with actual cataract incidence from Liwan data indicates that the incidence calculator is reasonably accurate in the estimation of cataract incidence rate, therefore provides assurance to potential users.

This is a 2020 ARVO Annual Meeting abstract.

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