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Related Experiment Videos

HbA1c as a postmortem tool to identify glycemic control.

Ruth E Winecker1, Catherine A Hammett-Stabler, John F Chapman

  • 1North Carolina Office of the Chief Medical Examiner, University of North Caolina, Chapel Hill 27599-7580, USA. winecker@ocme.unc.edu

Journal of Forensic Sciences
|November 29, 2002
PubMed
Summary

Postmortem blood tests measuring glycated hemoglobin (HbA1c) can identify individuals with undiagnosed diabetes. This method is reliable even with sample degradation, aiding in understanding diabetes prevalence.

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Area of Science:

  • Forensic Medicine
  • Clinical Chemistry
  • Endocrinology

Background:

  • Undiagnosed diabetes affects millions, increasing morbidity and mortality risks.
  • Glycated hemoglobin (HbA1c) reflects average blood glucose over time.
  • Postmortem analysis requires reliable biomarkers for disease identification.

Purpose of the Study:

  • To evaluate the utility of postmortem glycated hemoglobin (%HbA1c) measurement for identifying individuals with undiagnosed diabetes.
  • To assess the reliability of %HbA1c testing in degraded postmortem blood samples.

Main Methods:

  • An immunoturbidimetric assay was used to measure %HbA1c in postmortem blood samples.
  • Two study populations were utilized: one with known diabetes status and one with unknown status.

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  • Statistical analysis compared %HbA1c levels between diabetic and non-diabetic individuals.

    • Main Results:

    • A statistically significant difference was observed in mean %HbA1c between known diabetics (12.4+/-2.8) and non-diabetics (5.8+/-0.3).
    • In the unknown status population, %HbA1c values ranged from 4.7 to 16.8.
    • Six individuals with unknown status had a mean %HbA1c of 11.7%, statistically similar to the diabetic group.

    Conclusions:

    • Postmortem blood samples are suitable for characterizing HbA1c values.
    • %HbA1c testing can serve as a valuable postmortem tool for identifying previously undiagnosed diabetes.
    • This method can contribute to a better understanding of diabetes prevalence in populations.