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Quality assessment of a screening algorithm for diabetic retinopathy: prolongation of screening intervals with minimal effect of HbA1c and arterial hypertension on the length of intervals.

Stine BybergDorte VistisenMarit Eika JørgensenLars Jorge DiazMarianne ValeriusJavad Nouri HajariHenrik Lund-Andersen
Published in: Acta ophthalmologica (2020)
The present study supports the validity of the current algorithm. We found no increased risk of unexpected events among dysregulated intervals but a nonlinear effect of HbA1c . Age, diabetes duration and diabetes type were significantly associated with unexpected events.
Keyphrases
  • diabetic retinopathy
  • arterial hypertension
  • type diabetes
  • cardiovascular disease
  • machine learning
  • glycemic control
  • deep learning
  • optical coherence tomography
  • neural network
  • adipose tissue
  • weight loss