Evidence map›Paper›PMID 40457148›Full record

ArticleEndocrine2025

Increased survival reveals new paradigms in diabetic macular edema among patients with type 1 diabetes.

Pedro Marques-Couto, Arthur Villard, Pedro Mota-Moreira, António Ferrão-Mendes, Ana Rita Leite, João Sérgio Neves, Manuel Falcão, Rita Laiginhas

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Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pedro Marques-CoutoDepartment of Ophthalmology, Unidade Local de Saúde de São João, Porto, Portugal.
Arthur VillardFaculty of Medicine of the University of Porto, Porto, Portugal.
Pedro Mota-MoreiraDepartment of Ophthalmology, Unidade Local de Saúde de São João, Porto, Portugal.
António Ferrão-MendesDepartment of Ophthalmology, Unidade Local de Saúde de São João, Porto, Portugal.
Ana Rita LeiteDepartment of Endocrinology, Diabetes and Metabolism, Unidade Local de Saúde de São João, Porto, Portugal.
João Sérgio NevesDepartment of Endocrinology, Diabetes and Metabolism, Unidade Local de Saúde de São João, Porto, Portugal.
Manuel FalcãoDepartment of Ophthalmology, Unidade Local de Saúde de São João, Porto, Portugal.
Rita LaiginhasDepartment of Ophthalmology, Unidade Local de Saúde de São João, Porto, Portugal. alaiginhas@med.up.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTreatment and monitoring developments markedly improved the survival rate of individuals with type 1 diabetes (T1D). Nevertheless, literature remains scarce on long-term incidence of diabetic macular edema (DME) in this population, with the major study existing in the field - Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) - reporting its development at 30 years of disease. We aimed to estimate the long-term risk of DME and associated factors in a representative sample of type 1 diabetic patients.

methodsThis retrospective cohort study included 235 patients with T1D from a tertiary center in Portugal. Data on demographics and clinical characteristics were extracted from digital medical records and analyzed using descriptive statistics. Kaplan-Meier survival analysis was used to assess DME development over the follow-up period. Potential predictors of DME, including age at T1D diagnosis, duration of T1D, glycated hemoglobin (HbA1c), body mass index (BMI), severity of diabetic retinopathy (DR), systolic and diastolic blood pressure (SBP and DBP), and smoking habits, were analyzed using multivariate Cox regression.

resultsThe overall prevalence of DME was 18.7%. The cumulative risk of developing DME escalated from 7.6% at 20 years to 51.1% at 65 years of T1D duration (p < 0.001). Patients with severe or proliferative DR had a significantly higher prevalence of DME (p < 0.001). The prevalence of microvascular complications was higher in the DME group (54.5% versus 19.4%, p < 0.001). Age at T1D diagnosis and DR severity were the strongest predictors of DME, with hazard ratios of 1.03 (95% CI [1.00-1.06]; p = 0.029) and 1.46 (95% CI [1.20-1.77]; p < 0.001), respectively. HbA1c and SBP were associated with DME in univariate analysis but lost significance in multivariate models.

conclusionsThis study highlights the time-dependent nature of DME development in T1D, with a marked increase in risk beyond 20 years of disease duration, a pattern that appears to differ from what is typically observed in T2D. DR severity was a key predictor of DME. DME was associated with the presence of microvascular, but not macrovascular complications. These findings emphasize the importance of tailored surveillance strategies to improve outcomes in this high-risk population.

Indexed as

Diabetes Mellitus, Type 1Diabetic RetinopathyMacular EdemaAdolescentAdultAgedFemaleHumansIncidenceMaleMiddle AgedPortugalPrevalenceRetrospective StudiesRisk FactorsYoung AdultDiabetic macular edemaDiabetic retinopathyLongitudinal studyRisk factorsType 1 diabetes

Identifiers

PMID40457148
PMCPMC12370821

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