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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8304596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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