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Testing the performance of risk prediction models to determine progression to referable diabetic retinopathy in an Irish type 2 diabetes cohort

Abstract:
Background /aims: To evaluate the performance of existing prediction models to determine risk of progression to referable diabetic retinopathy (RDR) using data from a prospective Irish cohort of people with type 2 diabetes (T2D). Methods: A cohort of 939 people with T2D followed prospectively was used to test the performance of risk prediction models developed in Gloucester, UK, and Iceland. Observed risk of progression to RDR in the Irish cohort was compared with that derived from each of the prediction models evaluated. Receiver operating characteristic curves assessed models' performance. Results: The cohort was followed for a total of 2929 person years during which 2906 screening episodes occurred. Among 939 individuals followed, there were 40 referrals (4%) for diabetic maculopathy, pre-proliferative DR and proliferative DR. The original Gloucester model, which includes results of two consecutive retinal screenings; a model incorporating, in addition, systemic biomarkers (HbA1c and serum cholesterol); and a model including results of one retinopathy screening, HbA1c, total cholesterol and duration of diabetes, had acceptable discriminatory power (area under the curve (AUC) of 0.69, 0.76 and 0.77, respectively). The Icelandic model, which combined retinopathy grading, duration and type of diabetes, HbA1c and systolic blood pressure, performed very similarly (AUC of 0.74). Conclusion: In an Irish cohort of people with T2D, the prediction models tested had an acceptable performance identifying those at risk of progression to RDR. These risk models would be useful in establishing more personalised screening intervals for people with T2D
Publication status:
Published
Peer review status:
Peer reviewed

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Author
ORCID:
0000-0001-9971-7922
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Role:
Author
ORCID:
0000-0001-8948-3691
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-1172-7865
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-8513-710X
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Role:
Author
ORCID:
0000-0003-2666-2937


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Funder identifier:
10.13039/501100000265
Grant:
MR/S003770/1


Publisher:
BMJ Publishing Group
Journal:
British Journal of Ophthalmology More from this journal
Volume:
106
Issue:
8
Pages:
bjophthalmol-2020
Publication date:
2021-04-26
DOI:
EISSN:
1468-2079
ISSN:
0007-1161


Language:
English
Keywords:
Pubs id:
1174144
Local pid:
pubs:1174144
Source identifiers:
W3158561932
Deposit date:
2026-03-24
ARK identifier:
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