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Validation of an individual risk assessment algorithm to optimize screening frequency for diabetic retinopathy

Poster Details

First Author: C.Hernaez-Ortega SPAIN

Co Author(s):    J. Pinies   E. Soto-Pedre               0   0 0   0 0   0 0   0 0

Abstract Details


To adjust the frequency of eye-screening visits in patients with diabetes mellitus by using information technology and individualized risk assessment.


Retrospective follow-up study of patients with diabetes mellitus attending a diabetes centre. European Innovative Biomedicine Institute (EIBI), Cantabria (Spain). Pinies Diabetes Centre (PDC), Bilbao (Spain).


Data on gender, type and duration of diabetes, HbA1c, blood pressure and the presence and grade of retinopathy was collected from consecutive patients. These data was used to estimate risk for sight-threatening retinopathy (STDR) for each individual’s worse eye over time by means of a mathematical algorithm created based on epidemiological data on risk factors for diabetic retinopathy (RetinaRisk TM, RISK ehf., Reykjavik, Iceland). Receiver operating characteristics (ROC) analysis was performed to determine the diagnostic ability of the algorithm.


508 screening visits of patients with diabetes mellitus were analyzed. The median diabetes duration was 10 years, 87% were type 2 diabetes, 33% had mild non-proliferative diabetic retinopathy at baseline and 3.1% developed STDR before the next screening visit. The area under the ROC curve was 0.74 (95% CI 0.62- 0.86). The median recommended screening interval was 20 months (IQR 9-36). The reduction in screening frequency was 40% compared with fixed annual screening.


The algorithm determined individual risk and the screening interval was individually determined based on each patient’s risk profile. This algorithm has potential to save on healthcare resources by reducing the number of screening visits.

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