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HbA1c: a review of non-glycaemic variables
Leon Campbell1, Tessa Pepper2, Kate Shipman3
1Department of Medicine, Western Sussex Hospitals NHS Foundation Trust, Worthing, UK leon.campbell@wsht.nhs.uk.
Insights
Hemoglobin A1c (HbA1c) is a key biomarker for diabetes management. While most non-glycemic factors don't impact HbA1c readings, a few can significantly alter results, necessitating alternative biomarker consideration.
Area of Science:
- Clinical Biochemistry
- Endocrinology
- Diabetes Mellitus Research
Background:
- Hemoglobin A1c (HbA1c) is a vital biomarker for diagnosing and monitoring diabetes mellitus.
- Non-glycemic variables can influence HbA1c measurements, leading to potential discrepancies.
- The 'glycation gap' highlights cases where predicted and measured HbA1c differ, impacting clinical interpretation.
Purpose of the Study:
- To review existing evidence on non-glycemic variables affecting HbA1c.
- To quantify the clinical significance of these non-glycemic influences.
- To provide guidance on managing HbA1c interpretation in light of these variables.
Main Methods:
- A comprehensive literature search was conducted using PubMed.
- Search terms focused on non-glycemic variables impacting HbA1c.
- Retrieved articles were reviewed for clinical relevance and practical implications.
Main Results:
- Numerous non-glycemic variables demonstrate statistically significant effects on HbA1c levels.
- The majority of these effects have minimal clinical relevance.
- A small subset of non-glycemic variables exhibit clinically significant impacts on HbA1c.
Conclusions:
- Clinicians must be aware of specific non-glycemic factors that significantly alter HbA1c.
- For individuals affected by these factors, alternative or supplementary biomarkers may be necessary.
- In most clinical situations, HbA1c remains a reliable and confident diagnostic tool.
Abstract:
Identification of the correlation between HbA1c and diabetic complications has yielded one of the most clinically useful biomarkers. HbA1c has revolutionised the diagnosis and monitoring of diabetes mellitus. However, with widespread adoption of HbA1c has come increasing recognition that non-glycaemic variables can also affect HbA1c, with varying clinical significance. Furthermore, the identification of a discrepancy between predicted and measured HbA1c in some individuals, the so-called 'glycation gap', may be clinically significant. We aimed to review the current body of evidence relating to non-glycaemic variables to quantify any significance and provide subsequent suggestions. A PubMed-based literature search was performed, using a variety of search terms, to retrieve articles detailing the non-glycaemic variables suggested to affect HbA1c. Articles were reviewed to assess the relevance of any findings in clinical practice and where possible guidance is given. A range of non-glycaemic variables have statistically significant effects on HbA1c. While the clinical implications are generally irrelevant, a small number of non-glycaemic variables do have clinically significant effects and alternative biomarkers should be considered instead of, or in addition to, HbA1c. There are a small number of non-glycaemic variables which have a clinically significant effect on HbA1c, However, the vast majority of non-glycaemic variables have no clinical relevance. While clinicians should have an awareness of those non-glycaemic variables with clinical significance, in the vast majority of clinical scenarios HbA1c should continue to be used with confidence.
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