Validation of a model for the prediction of retinopathy in persons with type 1 diabetes.
Autor: | Schreur V; Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands Vivian.Schreur@radboudumc.nl., Ng H; Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands., Nijpels G; Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU Medical Centre, Amsterdam, The Netherlands., Stefánsson E; Department of Ophthalmology, University of Iceland, Reykjavík, Iceland., Tack CJ; Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Klevering BJ; Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands., de Jong EK; Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands., Hoyng CB; Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands., Keunen JEE; Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands., van der Heijden AA; Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU Medical Centre, Amsterdam, The Netherlands. |
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Jazyk: | angličtina |
Zdroj: | The British journal of ophthalmology [Br J Ophthalmol] 2021 Sep; Vol. 105 (9), pp. 1286-1288. Date of Electronic Publication: 2019 Mar 01. |
DOI: | 10.1136/bjophthalmol-2018-313539 |
Abstrakt: | 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 A 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. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.) |
Databáze: | MEDLINE |
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