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The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus

Background: To measure the relationship between variability in HbA(1c) and microalbuminuria (MA) and diabetic retinopathy (DR) in the long term. Methods: A prospective case-series study, was conducted on 366 Type 1 Diabetes Mellitus patients with normoalbuminuria and without diabetic retinopathy at...

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Autores principales: Romero-Aroca, Pedro, Navarro-Gil, Raul, Feliu, Albert, Valls, Aida, Moreno, Antonio, Baget-Bernaldiz, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304596/
https://www.ncbi.nlm.nih.gov/pubmed/34202444
http://dx.doi.org/10.3390/diagnostics11071151
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author Romero-Aroca, Pedro
Navarro-Gil, Raul
Feliu, Albert
Valls, Aida
Moreno, Antonio
Baget-Bernaldiz, Marc
author_facet Romero-Aroca, Pedro
Navarro-Gil, Raul
Feliu, Albert
Valls, Aida
Moreno, Antonio
Baget-Bernaldiz, Marc
author_sort Romero-Aroca, Pedro
collection PubMed
description Background: To measure the relationship between variability in HbA(1c) and microalbuminuria (MA) and diabetic retinopathy (DR) in the long term. Methods: A prospective case-series study, was conducted on 366 Type 1 Diabetes Mellitus patients with normoalbuminuria and without diabetic retinopathy at inclusion. The cohort was followed for a period of 12 years. The Cox survival analysis was used for the multivariate statistical study. The effect of variability in microangiopathy (retinopathy and nephropathy) was evaluated by calculating the standard deviation of HbA(1c) (SD-HbA(1c)), the coefficient of variation of HbA(1c) (CV-HbA(1c)), average real variability (ARV-HbA(1c)) and variability irrespective of the mean (VIM-HbA(1c)) adjusted for the other known variables. Results: A total of 106 patients developed diabetic retinopathy (29%) and 73 microalbuminuria (19.9%). Overt diabetic nephropathy, by our definition, affected only five patients (1.36%). Statistical results show that the current age, mean HbA(1c), SD-HbA(1c) and ARV-HbA(1c) are significant in the development of diabetic retinopathy. Microalbuminuria was significant for current age, mean HbA(1c), CV-HbA(1c) and ARV-HbA(1c). Conclusions: By measuring the variability in HbA(1c), we can use SD-HbA(1c) and ARV-HbA(1c) as possible targets for judging which patients are at risk of developing DR and MA, and CV-HbA(1c) as the target for severe DR.
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spelling pubmed-83045962021-07-25 The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus Romero-Aroca, Pedro Navarro-Gil, Raul Feliu, Albert Valls, Aida Moreno, Antonio Baget-Bernaldiz, Marc Diagnostics (Basel) Article Background: To measure the relationship between variability in HbA(1c) and microalbuminuria (MA) and diabetic retinopathy (DR) in the long term. Methods: A prospective case-series study, was conducted on 366 Type 1 Diabetes Mellitus patients with normoalbuminuria and without diabetic retinopathy at inclusion. The cohort was followed for a period of 12 years. The Cox survival analysis was used for the multivariate statistical study. The effect of variability in microangiopathy (retinopathy and nephropathy) was evaluated by calculating the standard deviation of HbA(1c) (SD-HbA(1c)), the coefficient of variation of HbA(1c) (CV-HbA(1c)), average real variability (ARV-HbA(1c)) and variability irrespective of the mean (VIM-HbA(1c)) adjusted for the other known variables. Results: A total of 106 patients developed diabetic retinopathy (29%) and 73 microalbuminuria (19.9%). Overt diabetic nephropathy, by our definition, affected only five patients (1.36%). Statistical results show that the current age, mean HbA(1c), SD-HbA(1c) and ARV-HbA(1c) are significant in the development of diabetic retinopathy. Microalbuminuria was significant for current age, mean HbA(1c), CV-HbA(1c) and ARV-HbA(1c). Conclusions: By measuring the variability in HbA(1c), we can use SD-HbA(1c) and ARV-HbA(1c) as possible targets for judging which patients are at risk of developing DR and MA, and CV-HbA(1c) as the target for severe DR. MDPI 2021-06-24 /pmc/articles/PMC8304596/ /pubmed/34202444 http://dx.doi.org/10.3390/diagnostics11071151 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Romero-Aroca, Pedro
Navarro-Gil, Raul
Feliu, Albert
Valls, Aida
Moreno, Antonio
Baget-Bernaldiz, Marc
The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_full The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_fullStr The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_full_unstemmed The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_short The Effect of HbA(1c) Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_sort effect of hba(1c) variability as a risk measure for microangiopathy in type 1 diabetes mellitus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304596/
https://www.ncbi.nlm.nih.gov/pubmed/34202444
http://dx.doi.org/10.3390/diagnostics11071151
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