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To Determine the Risk-Based Screening Interval for Diabetic Retinopathy: Development and Validation of Risk Algorithm
Jinxiao Lian1, Ching So1, Sarah Morag McGhee2
1School of Optometry, The Hong Kong Polytechnic University, Hong Kong.
Diabetes & Metabolism Journal
|October 31, 2024
Summary
A new risk algorithm accurately predicts sight-threatening diabetic retinopathy (STDR) in Chinese populations. This tool enables personalized screening intervals, focusing resources on high-risk individuals.
Area of Science:
- Ophthalmology
- Diabetology
- Biostatistics
Background:
- Diabetic retinopathy (DR) screening intervals are debated.
- A predictive algorithm for referable sight-threatening diabetic retinopathy (STDR) is needed.
- This study focuses on a predominantly Chinese population.
Purpose of the Study:
- To develop and validate a risk algorithm for predicting individual STDR risk.
- To provide evidence supporting risk-based screening intervals for DR.
- To optimize DR screening strategies.
Main Methods:
- Retrospective cohort study of 117,418 subjects in Hong Kong (2010-2016).
- Development and validation of a risk algorithm using a parametric survival model.
- Assessment of calibration and discrimination using ROC curves.
Main Results:
- Key predictors identified: diabetes duration, HbA1c, systolic blood pressure, CKD, diabetes medication, and age.
- The algorithm showed good prediction performance in both males and females.
- Area under ROC curve was 0.80 for males and 0.81 for females.
Conclusions:
- The developed risk algorithm accurately predicts referable STDR.
- Risk-based screening intervals can optimize resource allocation.
- Higher-risk individuals receive more frequent screening, while lower-risk individuals are screened less often.
