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Reliability of HbA1c Testing in Diabetes Research

This study confirms HbA1c testing accuracy in assessing blood sugar control.

― 5 min read


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Table of Contents

Hemoglobin A1c (HbA1c) is a common test used to check how well blood sugar levels are controlled in people with Diabetes. The higher the HbA1c level, the greater the risk of serious health issues related to diabetes. Over the years, improvements in testing methods have made it possible to include HbA1c measurement as part of the criteria for diagnosing diabetes since 2010. Normally, HbA1c testing is done on fresh Blood Samples, which can be kept in the fridge for up to a week without losing accuracy. Previous studies showed that blood samples could be frozen and still provide reliable HbA1c measurements even after being stored for many years.

The REGARDS study is a large and ongoing research project designed to look at why there are differences in stroke rates among Black individuals and those living in certain parts of the Southeastern United States. This study included more than 30,000 adults aged 45 and older. It began enrolling participants from 2003 to 2007, before HbA1c testing was used to classify diabetes. Instead, the study relied on Fasting Plasma Glucose levels to measure blood sugar control. As HbA1c testing became more important for diagnosing and managing diabetes, the researchers wanted to add HbA1c measurements to the existing data from REGARDS.

Why Use HbA1c Testing?

HbA1c testing offers several advantages. One major benefit is that it measures average blood sugar levels over the past two to three months rather than just a single point in time, as with some other blood tests. This helps doctors understand a patient's overall blood sugar management better. The test tracks a specific form of hemoglobin in the blood that binds to glucose, which makes it a reliable indicator of blood sugar levels over time.

Today, various methods are available for HbA1c testing. One commonly used method is immunoturbidimetric assay, which works on the differences in the structure of hemoglobin rather than its electrical charge. This method is beneficial because it minimizes the effect of common blood variations on the HbA1c results, making it more accurate.

Study Objectives

The goal of this research was to determine whether the REGARDS study could accurately measure HbA1c levels. Specifically, the researchers looked at participants who did not have diabetes during two visits, measuring HbA1c and comparing it to fasting plasma glucose levels and other relevant health factors.

Study Design and Methods

A Pilot Study was first conducted with a smaller group of adults to choose the best method for measuring HbA1c. In this pilot study, researchers collected blood samples from 27 adults and stored them for a short time before testing. Their findings showed that HbA1c measurements were consistent across different sample types.

The larger REGARDS study began recruiting participants between 2003 and 2007. Selected individuals, aged 45 and older, were contacted through phone interviews. Once they agreed to participate, researchers collected their blood and medical history information during a home visit. A follow-up visit occurred between 2013 and 2016 to gather similar data again.

During both visits, blood samples were taken after the participants had fasted overnight. The samples were stored properly and sent for further testing. Different methods were used to measure HbA1c, including the immunoturbidimetric assay, which was employed in subsequent analyses as well.

Analyzing Demographic and Health Data

At the first visit, important demographic information was recorded, including age, gender, race, education level, and income. Blood pressure and body mass index (BMI) were also measured. Blood tests were conducted to assess fasting glucose levels along with other health markers like cholesterol and kidney function.

From the initial group of over 30,000 participants, HbA1c levels were measured for a random sample of 3,276 individuals during the first visit. In the second visit, 1,246 participants underwent similar measurements. After excluding individuals with diabetes, researchers focused on 917 participants who remained diabetes-free during both assessments.

Key Findings

The results from the study showed that the HbA1c measurements were reliable and consistent across different sample types. For the participants without diabetes, there was a strong correlation between fasting glucose levels and HbA1c averages. Additionally, health factors like age, gender, blood pressure, and body fat were also examined for their relationships with HbA1c levels.

Among participants who did not meet the diabetes criteria based on fasting glucose, a small percentage were classified as having diabetes when looking at their HbA1c results using a cut-off point of 6.5%. This indicates that although the HbA1c test is widely used, it can sometimes show a different result than other tests used to diagnose diabetes.

Clinical Implications

The study outcomes support the validity of using frozen blood samples for measuring HbA1c over time. This is especially important for epidemiological studies that examine health trends over extended periods. The ability to store blood samples for years without losing reliable information makes longitudinal studies more feasible.

Despite some limitations, including focusing only on individuals without diabetes and potential issues with sample handling, the strengths of this study are notable. It provides valuable insights into HbA1c measurement methods while contributing to a better understanding of diabetes management.

Conclusion

In summary, HbA1c is a significant marker for assessing blood sugar control and diabetes management. This study demonstrated that measuring HbA1c in frozen blood samples stored for many years is a reliable method for research and clinical practice. With the continuing importance of HbA1c testing in diabetes care, future research should include individuals with diabetes and further evaluate how well HbA1c predicts diabetes and other relevant health outcomes.

Original Source

Title: Measuring Hemoglobin A1C with Frozen Packed Cell and Frozen Whole Blood Samples in an Epidemiologic Study: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study

Abstract: IntroductionHemoglobin A1c (HbA1c) measurement in epidemiology studies could be increased if reliability of measurements in frozen stored samples was known. In the REasons for Geographic and Racial Differences in Stroke, a longitudinal study of 30,239 Black and White U.S. adults, we investigated reliability of HbA1c measurements for two types of samples stored at -80{degrees}C for up to 14 years. MethodsAmong 917 participants without diabetes, HbA1c was measured in 2017 in frozen packed cells from the first visit (2003-07) and in frozen whole blood samples from the second visit (2013-16). To study reliability, associations between HbA1c and glycemia-related characteristics were examined. ResultsEach 10mg/dL greater fasting glucose was associated with 0.08% (95%CI: 0.05-0.11%) greater HbA1c in frozen packed cells (visit 1) and 0.10% (95%CI: 0.08-0.12%) greater HbA1c in whole blood (visit 2). HbA1c was also similarly higher with both methods with increasing age, gender, systolic blood pressure, body mass index, high-density lipoprotein, triglycerides, C-reactive protein, and hemoglobin. Using both methods, [≤]3.5% were classified with diabetes based on HbA1c [≥]6.5%. ConclusionsIn REGARDS participants without diabetes, HbA1c measurement appeared reliable in frozen packed cells or whole blood under long-term storage, suggesting acceptability for study of the epidemiology of HbA1c.

Authors: Mary Cushman, D. Kamin Mukaz, S. Tison, D. L. Long, A. P. Carson, K. J. Hunt, S. E. Judd

Last Update: 2023-09-29 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2023.09.27.23296242

Source PDF: https://www.medrxiv.org/content/10.1101/2023.09.27.23296242.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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