Literature DB >> 32216034

Diabetic eye screening with variable screening intervals based on individual risk factors is safe and effective in ophthalmic practice.

Svein Estil1, AEgir Þór Steinarsson2, Stefan Einarsson2, Thor Aspelund2,3, Einar Stefánsson2,3.   

Abstract

PURPOSE: To test in a 'real world' diabetic eye-screening programme, a computer-based personal risk evaluation for progression to sight-threatening diabetic retinopathy. Screening intervals were individualized, and clinical outcomes, safety and cost-effectiveness documented.
METHODS: The RETINARISK algorithm was used in an ophthalmology clinic in Norway. The diabetes cohort was divided on voluntary basis into two groups: one with variable screening intervals based on their personal risk profile and the other group with conventional fixed interval diabetic eye screening. Compliance, clinical outcomes, safety and health economics were evaluated. A total of 843 diabetic patients participated in the program 2014-2019. A total of 63 had type 1 and 780 type 2 diabetes. A total of 671 patients had no diabetic retinopathy at baseline and 171 had retinopathy.
RESULTS: A total of 444 (53%) diabetic patients were included in the personal risk profile program and 399 in the fixed interval group. The RETINARISK algorithm calculated 563 screening intervals for the variable interval group, which was 23 ± 16 months (mean ± SD), compared to 14 ± 5 months for the group with fixed screening intervals. Due to selection bias, the two groups could not be directly compared. We did not experience any delay in detecting diabetic retinal changes when using the personal risk profile program.
CONCLUSION: The RETINARISK algorithm was safe and effective in a diabetic screening program in an ophthalmology clinic over 5 years. The use of the program reduces the mean frequency of screening visits and liberates valuable time in ophthalmic practice to be used on high-risk diabetic patients or other patient groups.
© 2020 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  blindness; diabetic retinopathy; health care; health economics; information technology; risk; risk factors; risk profile; screening

Mesh:

Year:  2020        PMID: 32216034     DOI: 10.1111/aos.14425

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  3 in total

Review 1.  Artificial Intelligence Algorithms in Diabetic Retinopathy Screening.

Authors:  Sidra Zafar; Heba Mahjoub; Nitish Mehta; Amitha Domalpally; Roomasa Channa
Journal:  Curr Diab Rep       Date:  2022-04-19       Impact factor: 4.810

2.  Validation of a Diagnostic Support System for Diabetic Retinopathy Based on Clinical Parameters.

Authors:  Pedro Romero-Aroca; Raquel Verges-Pujol; Esther Santos-Blanco; Najlaa Maarof; Aida Valls; Xavier Mundet; Antonio Moreno; Luis Galindo; Marc Baget-Bernaldiz
Journal:  Transl Vis Sci Technol       Date:  2021-03-01       Impact factor: 3.283

3.  Validation of an Algorithm for the Prediction of Diabetic Retinopathy in Type 1 Diabetic Patients in a Spanish Population.

Authors:  Pedro Romero-Aroca; Marc Baget-Bernaldiz; Raul Navarro-Gil; Albert Feliu; Najla Maarof; Antonio Moreno; Julian Cristiano; Aida Valls
Journal:  Clin Ophthalmol       Date:  2022-03-10
  3 in total

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