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Standardizing the haemoglobin glycation index.

James M Hempe1, Shengping Yang2, Shuqian Liu3

  • 1Department of Pediatrics, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.

Endocrinology, Diabetes & Metabolism
|September 24, 2021
PubMed
Summary
This summary is machine-generated.

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Standardizing the haemoglobin glycation index (HGI) calculation is crucial. A high HGI indicates increased risk for hypoglycaemia and vascular disease, and a standardized method will improve clinical risk assessment.

Area of Science:

  • Endocrinology and Metabolism
  • Clinical Chemistry
  • Public Health

Background:

  • A high haemoglobin glycation index (HGI) correlates with increased risks of hypoglycaemia and chronic vascular disease.
  • Standardizing HGI calculation is essential for consistent research findings and clinical application in risk assessment.

Purpose of the Study:

  • To establish a standardized regression equation for calculating the HGI using a demographically diverse, diabetes-naïve adult population.
  • To facilitate the clinical and research use of HGI for assessing risks associated with diabetes and its complications.

Main Methods:

  • Utilized data from 18,675 diabetes treatment-naïve adults from the U.S. National Health and Nutrition Examination Survey (NHANES) 2005-2016.
  • Developed a regression equation (predicted HbA1c = 0.024 FPG + 3.1) based on the linear relationship between fasting plasma glucose (FPG) and HbA1c.
Keywords:
HbA1cNHANESdiabeteshaemoglobin glycation index

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  • Categorized participants into low, moderate, and high HGI subgroups based on the calculated index.

    • Main Results:

    • A high HGI was associated with black race, older age, higher BMI, and elevated CRP in non-diabetic individuals.
    • Self-reported diabetic adults exhibited a mean HGI that was 0.6% higher.
    • HGI showed no association with plasma insulin, HOMA-IR, or 2-hour OGTT in participants across normal, prediabetic, and diabetic classifications.

    Conclusions:

    • The derived regression equation from the NHANES reference population provides a suitable standard for HGI calculation in both clinical and research settings.
    • Standardization will aid in understanding population variations in HGI and its link to chronic vascular disease risk.