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
RelevantConventional clinical guidelines used by most doctors
Research Consensus
RelevantCurrent 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
Related Biomarkers
Calculate & Evaluate on Metabolicum
Original Source
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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