Assessing Glycosylated Hemoglobin Thresholds for Development of Cardiovascular Disease by Racial and Ethnic Groups

Christopher G Low1, Maqdooda Merchant2, Yun-Yi Hung2

  • 1Kaiser Permanente Medical Center Santa Clara CA.

Insights

Glycosylated hemoglobin (HbA1c) thresholds for predicting cardiovascular events vary significantly by race and ethnicity. Tailoring HbA1c goals based on these differences is crucial for effective diabetes and cardiovascular disease management.

Area of Science:

  • Cardiology
  • Endocrinology
  • Population Health

Background:

  • Diabetes mellitus is a primary risk factor for cardiovascular disease (CVD).
  • Glycosylated hemoglobin (HbA1c) levels exhibit racial and ethnic variations.
  • Current diagnostic thresholds for diabetes lack race- and ethnic-specific considerations for CVD risk prediction.

Purpose of the Study:

  • To investigate whether glycosylated hemoglobin (HbA1c) thresholds for predicting major adverse cardiovascular events (MACEs) differ across racial and ethnic groups.
  • To establish race- and ethnic-specific HbA1c thresholds for CVD risk assessment.

Main Methods:

  • Retrospective cohort study of 309,636 adult members of Kaiser Permanente Northern California (2014-2019).
  • Utilized multivariable logistic regression to analyze MACEs across Filipino, South Asian, East Asian, Black, White, and Hispanic groups.
  • Employed Youden index for calculating HbA1c thresholds, stratified by sex.

Main Results:

  • South Asian race showed the highest odds of MACEs (OR 1.641).
  • HbA1c positively predicted MACEs (OR 1.024 per 0.1% increase).
  • Identified race- and sex-specific HbA1c thresholds for MACE prediction, with several groups falling below the typical 7.0% threshold.

Conclusions:

  • Findings indicate that race and ethnicity-specific HbA1c thresholds are essential for accurate cardiovascular disease risk estimation.
  • Consideration of sex-specific HbA1c thresholds may be necessary for refining diabetes treatment goals and CVD risk management strategies.
Abstract

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