Initial Retinal Nerve Fiber Layer Loss and Risk of Diabetic Retinopathy Over a Four-Year Period.
Zhong Xiaoying, Li Huangdong, Tan Shaoying, Yang Shaopeng, Zhu Ziyu, Huang Wenyong, Cheng Weijing, Wang Wei
AI Summary
Initial rapid retinal nerve fiber layer thinning predicts future diabetic retinopathy development, improving risk prediction and offering new screening insights for diabetes patients.
Abstract
Purpose
The purpose of this study was to investigate whether the rapid rate of peripapillary retinal nerve fiber layer (pRNFL) thinning in short-term is associated with the future risk of developing diabetic retinopathy (DR).
Methods
This prospective cohort study utilized 4-year follow-up data from the Guangzhou Diabetic Eye Study. The pRNFL thickness was measured by optical coherence tomography (OCT). DR was graded by seven-field fundus photography after dilation of the pupil. Correlations between pRNFL thinning rate and DR were analyzed using logistic regression. The additive predictive value of the prediction model was assessed using the C-index, net reclassification index (NRI), and integrated discriminant improvement index (IDI).
Results
A total of 1012 patients with diabetes (1012 eyes) without DR at both baseline and 1-year follow-up were included in this study. Over the 4-year follow-up, 132 eyes (13%) developed DR. After adjusting for confounding factors, a faster rate of initial pRNFL thinning was significantly associated with the risk of DR (odds ratio per standard deviation [SD] decrease = 1.15, 95% confidence interval [CI] = 1.08 to 1.23, P < 0.001). Incorporating either the baseline pRNFL thickness or its thinning rate into conventional prediction models significantly improved the discriminatory power. Adding the rate of pRNFL thinning further enhanced the discriminative power compared with models with only baseline pRNFL thickness (C-index increased from 0.685 to 0.731, P = 0.040). The IDI and NRI were 0.114 and 0.463, respectively (P < 0.001).
Conclusions
The rate of initial pRNFL thinning was associated with DR occurrence and improved discriminatory power of traditional predictive models. This provides new insights into the management and screening of DR.
MeSH Terms
Shields Classification
Key Concepts5
A faster rate of initial peripapillary retinal nerve fiber layer (pRNFL) thinning was significantly associated with the risk of diabetic retinopathy (DR) in patients with diabetes (odds ratio per standard deviation [SD] decrease = 1.15, 95% confidence interval [CI] = 1.08 to 1.23, P < 0.001) after adjusting for confounding factors.
Incorporating either the baseline peripapillary retinal nerve fiber layer (pRNFL) thickness or its thinning rate into conventional prediction models significantly improved the discriminatory power for predicting diabetic retinopathy (DR) in patients with diabetes.
Adding the rate of peripapillary retinal nerve fiber layer (pRNFL) thinning further enhanced the discriminative power for predicting diabetic retinopathy (DR) compared with models with only baseline pRNFL thickness (C-index increased from 0.685 to 0.731, P = 0.040) in patients with diabetes.
The integrated discriminant improvement index (IDI) and net reclassification index (NRI) were 0.114 and 0.463, respectively (P < 0.001), for models incorporating the rate of peripapillary retinal nerve fiber layer (pRNFL) thinning for predicting diabetic retinopathy (DR) in patients with diabetes.
Over a 4-year follow-up period, 132 eyes (13%) developed diabetic retinopathy (DR) among 1012 patients with diabetes (1012 eyes) who did not have DR at both baseline and 1-year follow-up.
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