A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management

In this study, we assessed the correlations between hemoglobin A1c (HbA1c) measurements obtained using three different diagnostic methods, namely reversed-phase cation-exchange chromatography, high-performance liquid chromatography, and lateral flow immunoassay (LIFA) with an AnyLab F instrument. Hb...

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Main Authors: Hyeokjun Yun, Joo won Park, Jae Kyung Kim
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/13/22/3449
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author Hyeokjun Yun
Joo won Park
Jae Kyung Kim
author_facet Hyeokjun Yun
Joo won Park
Jae Kyung Kim
author_sort Hyeokjun Yun
collection DOAJ
description In this study, we assessed the correlations between hemoglobin A1c (HbA1c) measurements obtained using three different diagnostic methods, namely reversed-phase cation-exchange chromatography, high-performance liquid chromatography, and lateral flow immunoassay (LIFA) with an AnyLab F instrument. HbA1c levels measured with the AnyLab F instrument and those measured with the HA8190V, HA8180, and D100 instruments were strongly correlated. High R-square values and low <i>p</i>-values indicated significant and reliable correlations, supporting the clinical interchangeability of these methods. Notably, demographic and clinical analyses revealed uniform HbA1c levels across age groups, suggesting minimal age-related variations in HbA1c levels in the cohort. This finding has implications for diabetes management strategies across different age groups, emphasizing the versatility of the AnyLab F instrument. Overall an average HbA1c level of 7.857% among diabetes mellitus-diagnosed participants suggests moderately elevated HbA1c levels, underscoring the need for improved diabetes management. Younger individuals exhibited lower HbA1c levels, potentially owing to heightened awareness and treatment plan adherence. Conversely, older adults had higher HbA1c levels, likely influenced by age-related changes and comorbidities. Larger sample sizes and a comprehensive evaluation of various measurement principles are needed to strengthen the findings herein. Additionally, exploring additional biomarkers and assessing LIFA performance in larger sample sets will advance the clinical utility of HbA1c measurements.
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spelling doaj.art-3f4452e90dcf4ae486586b85167a41242023-11-24T14:37:38ZengMDPI AGDiagnostics2075-44182023-11-011322344910.3390/diagnostics13223449A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes ManagementHyeokjun Yun0Joo won Park1Jae Kyung Kim2Department of Medical Laser, Graduate School of Medicine, Dankook University, Cheonan 31116, Republic of KoreaDepartment of Laboratory Medicine, College of Medicine, Dankook University, Cheonan 31116, Republic of KoreaDepartment of Medical Laser, Graduate School of Medicine, Dankook University, Cheonan 31116, Republic of KoreaIn this study, we assessed the correlations between hemoglobin A1c (HbA1c) measurements obtained using three different diagnostic methods, namely reversed-phase cation-exchange chromatography, high-performance liquid chromatography, and lateral flow immunoassay (LIFA) with an AnyLab F instrument. HbA1c levels measured with the AnyLab F instrument and those measured with the HA8190V, HA8180, and D100 instruments were strongly correlated. High R-square values and low <i>p</i>-values indicated significant and reliable correlations, supporting the clinical interchangeability of these methods. Notably, demographic and clinical analyses revealed uniform HbA1c levels across age groups, suggesting minimal age-related variations in HbA1c levels in the cohort. This finding has implications for diabetes management strategies across different age groups, emphasizing the versatility of the AnyLab F instrument. Overall an average HbA1c level of 7.857% among diabetes mellitus-diagnosed participants suggests moderately elevated HbA1c levels, underscoring the need for improved diabetes management. Younger individuals exhibited lower HbA1c levels, potentially owing to heightened awareness and treatment plan adherence. Conversely, older adults had higher HbA1c levels, likely influenced by age-related changes and comorbidities. Larger sample sizes and a comprehensive evaluation of various measurement principles are needed to strengthen the findings herein. Additionally, exploring additional biomarkers and assessing LIFA performance in larger sample sets will advance the clinical utility of HbA1c measurements.https://www.mdpi.com/2075-4418/13/22/3449correlation coefficientHbA1cperformance evaluationpoint-of-care testingrapid diagnostic kit
spellingShingle Hyeokjun Yun
Joo won Park
Jae Kyung Kim
A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management
Diagnostics
correlation coefficient
HbA1c
performance evaluation
point-of-care testing
rapid diagnostic kit
title A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management
title_full A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management
title_fullStr A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management
title_full_unstemmed A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management
title_short A Comparative Evaluation of HbA1c Measurement Methods and Their Implications for Diabetes Management
title_sort comparative evaluation of hba1c measurement methods and their implications for diabetes management
topic correlation coefficient
HbA1c
performance evaluation
point-of-care testing
rapid diagnostic kit
url https://www.mdpi.com/2075-4418/13/22/3449
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