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Prediction of Retinopathy at 20 Years After Onset in Younger-Onset Type 1 Diabetes Using Mean Metabolic Memory-Free HbA(1c) Values: The importance of using HbA(1c) data of total, not partial, diabetes duration
OBJECTIVE: Metabolic memory, in which past hyperglycemia could affect future retinopathy, is a potential issue in studying the relationship between glycemia and retinopathy. We examined retrospectively if mean “metabolic memory-free” glycosylated hemoglobin A1C (HbA(1c)) values covering total diabet...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816923/ https://www.ncbi.nlm.nih.gov/pubmed/24026558 http://dx.doi.org/10.2337/dc13-0532 |
Sumario: | OBJECTIVE: Metabolic memory, in which past hyperglycemia could affect future retinopathy, is a potential issue in studying the relationship between glycemia and retinopathy. We examined retrospectively if mean “metabolic memory-free” glycosylated hemoglobin A1C (HbA(1c)) values covering total diabetes duration could predict retinopathy in younger-onset type 1 diabetes mellitus (T1DM). RESEARCH DESIGN AND METHODS: Inclusion criteria were T1DM onset before age 30 years, first visit to our center between 1988 and 1990 soon after onset, continuous HbA(1c) data for 20 years, and a 20-year follow-up retinopathy examination. Retinopathy predictive capabilities of HbA(1c) variables were examined. RESULTS: Of 15 subjects, 5 were retinopathy-positive and 10 were retinopathy-negative at the 20-year follow-up. Mean metabolic memory-free HbA(1c) values for the 20 years showed a substantial capacity to predict retinopathy at 20 years. The longer the period without HbA(1c) data following onset in simulation, the less accurate the prediction. CONCLUSIONS: HbA(1c) values may predict retinopathy better if metabolic memory-free data are used. |
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