The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus

Background: To measure the relationship between variability in HbA<sub>1c</sub> 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 dia...

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Main Authors: Pedro Romero-Aroca, Raul Navarro-Gil, Albert Feliu, Aida Valls, Antonio Moreno, Marc Baget-Bernaldiz
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/11/7/1151
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spelling doaj-e21695dfb93e435190968682fe5057fb2021-07-23T13:36:59ZengMDPI AGDiagnostics2075-44182021-06-01111151115110.3390/diagnostics11071151The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes MellitusPedro Romero-Aroca0Raul Navarro-Gil1Albert Feliu2Aida Valls3Antonio Moreno4Marc Baget-Bernaldiz5Ophthalmology Service, University Hospital Sant Joan, Institut de Investigacio Sanitaria Pere Virgili (IISPV), Universitat Rovira & Virgili, 43204 Reus, SpainOphthalmology Service, University Hospital Sant Joan, Institut de Investigacio Sanitaria Pere Virgili (IISPV), Universitat Rovira & Virgili, 43204 Reus, SpainPediatric Service, University Hospital Sant Joan, Institut de Investigacio Sanitaria Pere Virgili (IISPV), Universitat Rovira & Virgili, 43204 Reus, SpainDepartament d’Enginyeria Informàtica I Matemàtiques, Escola Tècnica Superior d’Enginyeria, Universitat Rovira & Virgili, ITAKA-Intelligent Technologies for Advanced Knowledge Acquisition, 43204 Tarragona, SpainDepartament d’Enginyeria Informàtica I Matemàtiques, Escola Tècnica Superior d’Enginyeria, Universitat Rovira & Virgili, ITAKA-Intelligent Technologies for Advanced Knowledge Acquisition, 43204 Tarragona, SpainOphthalmology Service, University Hospital Sant Joan, Institut de Investigacio Sanitaria Pere Virgili (IISPV), Universitat Rovira & Virgili, 43204 Reus, SpainBackground: To measure the relationship between variability in HbA<sub>1c</sub> 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<sub>1c</sub> (SD-HbA<sub>1c</sub>), the coefficient of variation of HbA<sub>1c</sub> (CV-HbA<sub>1c</sub>), average real variability (ARV-HbA<sub>1c</sub>) and variability irrespective of the mean (VIM-HbA<sub>1c</sub>) 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<sub>1c</sub>, SD-HbA<sub>1c</sub> and ARV-HbA<sub>1c</sub> are significant in the development of diabetic retinopathy. Microalbuminuria was significant for current age, mean HbA<sub>1c</sub>, CV-HbA<sub>1c</sub> and ARV-HbA<sub>1c</sub>. Conclusions: By measuring the variability in HbA<sub>1c</sub>, we can use SD-HbA<sub>1c</sub> and ARV-HbA<sub>1c</sub> as possible targets for judging which patients are at risk of developing DR and MA, and CV-HbA<sub>1c</sub> as the target for severe DR.https://www.mdpi.com/2075-4418/11/7/1151HbA<sub>1c</sub> variabilitycoefficient of variation of HbA<sub>1c</sub>diabetic retinopathyseverity of diabetic retinopathy
collection DOAJ
language English
format Article
sources DOAJ
author Pedro Romero-Aroca
Raul Navarro-Gil
Albert Feliu
Aida Valls
Antonio Moreno
Marc Baget-Bernaldiz
spellingShingle Pedro Romero-Aroca
Raul Navarro-Gil
Albert Feliu
Aida Valls
Antonio Moreno
Marc Baget-Bernaldiz
The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
Diagnostics
HbA<sub>1c</sub> variability
coefficient of variation of HbA<sub>1c</sub>
diabetic retinopathy
severity of diabetic retinopathy
author_facet Pedro Romero-Aroca
Raul Navarro-Gil
Albert Feliu
Aida Valls
Antonio Moreno
Marc Baget-Bernaldiz
author_sort Pedro Romero-Aroca
title The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_short The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_full The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_fullStr The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_full_unstemmed The Effect of HbA<sub>1c</sub> Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus
title_sort effect of hba<sub>1c</sub> variability as a risk measure for microangiopathy in type 1 diabetes mellitus
publisher MDPI AG
series Diagnostics
issn 2075-4418
publishDate 2021-06-01
description Background: To measure the relationship between variability in HbA<sub>1c</sub> 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<sub>1c</sub> (SD-HbA<sub>1c</sub>), the coefficient of variation of HbA<sub>1c</sub> (CV-HbA<sub>1c</sub>), average real variability (ARV-HbA<sub>1c</sub>) and variability irrespective of the mean (VIM-HbA<sub>1c</sub>) 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<sub>1c</sub>, SD-HbA<sub>1c</sub> and ARV-HbA<sub>1c</sub> are significant in the development of diabetic retinopathy. Microalbuminuria was significant for current age, mean HbA<sub>1c</sub>, CV-HbA<sub>1c</sub> and ARV-HbA<sub>1c</sub>. Conclusions: By measuring the variability in HbA<sub>1c</sub>, we can use SD-HbA<sub>1c</sub> and ARV-HbA<sub>1c</sub> as possible targets for judging which patients are at risk of developing DR and MA, and CV-HbA<sub>1c</sub> as the target for severe DR.
topic HbA<sub>1c</sub> variability
coefficient of variation of HbA<sub>1c</sub>
diabetic retinopathy
severity of diabetic retinopathy
url https://www.mdpi.com/2075-4418/11/7/1151
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