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Cohort Study2002

Rohlfing 2002: HbA1c-Glucose Relationship

Rohlfing et al.Diabetes Care

Key Finding

Established the mathematical relationship between HbA1c and mean plasma glucose

Original title: Defining the relationship between plasma glucose and HbA1c

Plain English Summary

Early study defining the relationship between plasma glucose and HbA1c, foundational for later eAG calculations.

In-Depth Analysis

Background

Dr. Curt L. Rohlfing and colleagues published this study in Diabetes Care (PMID: 12196384), an early effort to define the relationship between HbA1c and mean plasma glucose that would later inform the ADAG study.

Study Design

Design: Retrospective analysis Population: Patients with type 1 and type 2 diabetes Data: HbA1c measurements paired with self-monitored blood glucose (SMBG) averages Analysis: Linear regression modeling

Key Findings

Relationship between HbA1c and mean glucose:

  • Strong linear correlation demonstrated
  • Each 1% increase in HbA1c ≈ 35 mg/dL increase in mean glucose

Early conversion estimates:

HbA1c (%)Estimated Mean Glucose (mg/dL)
6.0~120
7.0~155
8.0~190
9.0~225

Limitations identified:

  • Based on SMBG (not CGM)
  • Individual variation substantial
  • Different glucose profiles can yield same HbA1c

Mechanistic Insights

HbA1c reflects glycation of hemoglobin over RBC lifespan:

  • Non-enzymatic attachment of glucose to hemoglobin
  • Proportional to ambient glucose concentration
  • Integrates glucose exposure over ~120 days
  • Weighted toward recent weeks (newer RBCs)

Clinical Implications

This study laid groundwork for:

  • Understanding HbA1c in glucose units
  • Later ADAG study with CGM validation
  • Clinical translation of HbA1c to "average glucose"

Metabolic Health Perspective

While the HbA1c-glucose relationship is useful, this study acknowledged limitations that remain relevant: individual variation means estimated glucose may not match a patient's actual average. For metabolic optimization, direct glucose monitoring provides superior insight.

Paradigm Relevance

How this study applies to different clinical perspectives:

Standard Medical

Relevant

Conventional clinical guidelines used by most doctors

Research Consensus

Relevant

Current scientific understanding, often ahead of guidelines

Metabolic Optimization

Proactive targets for optimal health, not just disease absence

Not directly relevant to this paradigm

Study Details

Type
Cohort Study

Topic

Related Biomarkers

HBA1CGLUCOSE

Calculate & Evaluate on Metabolicum

Original Source

View on PubMedView DOIFull Text Not Available

DOI (Digital Object Identifier) is a permanent link to this publication. Unlike website URLs that can change, a DOI always resolves to the correct source.

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