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Large-scale Retrospective Analyses of the Effect of Iron Deficiency Anemia on Hemoglobin A1c Concentrations

Overview
Journal Clin Chim Acta
Specialty Biochemistry
Date 2022 Feb 15
PMID 35167841
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Abstract

Introduction: HbA1c is a reliable biomarker for diagnosing and prognosis of diabetes, but many clinical scenarios and interfering factors can affect the test results. Any conditions that affect red cell turnover, such as iron-deficiency anemia (IDA), can lead to spurious HbA1c results. Reports on how IDA affects HbA1c concentrations are contradictory, and to understand better the association between HbA1c concentrations and IDA, we conducted a large-scale retrospective study.

Methods: Test results for HbA1c concentrations were retrieved from the years 2015-2019. We evaluated over 12,000 patients with IDA and 21,000 patients without IDA. Patients were classified as having IDA if samples with below the age-based ranges for serum iron, ferritin, or transferrin iron saturation and above age-based ranges for transferrin iron-binding capacity or transferrin concentrations. Kruskal-Wallis statistical analyses method was used to test whether the two samples follow the same distribution and significance.

Results: The median HbA1c concentration was 5.7% among IDA classified patients and 5.4% among normal samples (P < 0.001) for females. For males, the median HbA1c concentration was 6.0% among IDA classified patients and 5.6% among normal samples (P < 0.001).

Conclusion: Patients classified as IDA can have increased HbA1c concentrations than patients without IDA. Clinicians should consider IDA status before making therapeutic decisions based on HbA1c concentrations.

Citing Articles

Unlocking Optimal Glycemic Interpretation: Redefining HbA1c Analysis in Female Patients With Diabetes and Iron-Deficiency Anemia Using Machine Learning Algorithms.

Abdillahi K, Eraldemir F, Kosesoy I J Clin Lab Anal. 2024; 38(13-14):e25087.

PMID: 38984861 PMC: 11317769. DOI: 10.1002/jcla.25087.