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Dataset Information

Nomogram model predicts the risk of visual impairment in diabetic retinopathy: a retrospective study.


ABSTRACT:

Background

To develop a model for predicting the risk of visual impairment in diabetic retinopathy (DR) by a nomogram.

Methods

Patients with DR who underwent both optical coherence tomography angiography (OCTA) and fundus fluorescein angiography (FFA) were retrospectively enrolled. FFA was conducted for DR staging, swept-source optical coherence tomography (SS-OCT) of the macula and 3*3-mm blood flow imaging by OCTA to observe retinal structure and blood flow parameters. We defined a logarithm of the minimum angle of resolution visual acuity (LogMAR VA) ≥0.5 as visual impairment, and the characteristics correlated with VA were screened using binary logistic regression. The selected factors were then entered into a multivariate binary stepwise regression, and a nomogram was d

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC9733396 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature