RT Journal Article SR Electronic T1 Validation of a model for the prediction of retinopathy in persons with type 1 diabetes JF British Journal of Ophthalmology JO Br J Ophthalmol FD BMJ Publishing Group Ltd. SP 1286 OP 1288 DO 10.1136/bjophthalmol-2018-313539 VO 105 IS 9 A1 Vivian Schreur A1 Heijan Ng A1 Giels Nijpels A1 Einar Stefánsson A1 Cees J Tack A1 B Jeroen Klevering A1 Eiko K de Jong A1 Carel B Hoyng A1 Jan E E Keunen A1 Amber A van der Heijden YR 2021 UL http://bjo.bmj.com/content/105/9/1286.abstract AB Background/Aim To validate a previously developed model for prediction of diabetic retinopathy (DR) for personalised retinopathy screening in persons with type 1 diabetes.Methods Retrospective medical data of persons with type 1 diabetes treated in an academic hospital setting were used for analysis. Sight-threatening retinopathy (STR) was defined as the presence of severe non-proliferative DR, proliferative DR or macular oedema. The presence and grade of retinopathy, onset of diabetes, systolic blood pressure, and levels of haemoglobin A1c were used to calculate an individual risk estimate and personalised screening interval. In persons with STR, the occurrence was compared with the calculated date of screening. The model’s predictive performance was measured using calibration and discrimination techniques.Results Of the 268 persons included in our study, 24 (9.0%) developed STR during a mean follow-up of 4.6 years. All incidences of STR occurred after the calculated screening date. By applying the model, the mean calculated screening interval was 30.5 months, which is a reduction in screening frequency of 61% compared with annual screening and 21% compared with biennial screening. The discriminatory ability was good (Harrell’s C-statistic=0.82, 95% CI 0.74 to 0.90), and calibration showed an overestimation of risk in persons who were assigned to a higher risk for STR.Conclusion This validation study suggests that a screening programme based on the previously developed prediction model is safe and efficient. The use of a personalised screening frequency could improve cost-effectiveness of diabetic eye care.Deidentified participant data and statistical code are available upon request.