Crofts 2016: Hyperinsulinemia in the Kraft Database
Crofts et al. • Diabetes Research and Clinical Practice
Key Finding
Over 50% with normal glucose have hyperinsulinemia - earliest metabolic disease marker
Original title: “Identifying hyperinsulinaemia in the absence of impaired glucose tolerance: An examination of the Kraft database”
Plain English Summary
Analysis of Dr. Kraft two-decade OGTT database: over 50% with normal glucose have hyperinsulinemia. Fasting insulin alone insufficient for detection.
In-Depth Analysis
Background
Dr. Catherine Crofts and colleagues from AUT University, New Zealand, analyzed Dr. Joseph Kraft's remarkable database of over 14,000 oral glucose tolerance tests with insulin measurements. Published in Diabetes Research and Clinical Practice (PMID: 27344544).
Study Design
Database: 4,416 subjects from Dr. Kraft's clinical practice (1972-1998) Method: 5-hour OGTT with insulin measured at 0, 30, 60, 120, 180, 240, and 300 minutes Analysis: Applied Kraft patterns to identify hyperinsulinemia with and without glucose abnormalities
Key Findings
| Glucose Status | Hyperinsulinemia Present |
|---|---|
| Normal glucose tolerance | 53% |
| Impaired glucose tolerance | 75% |
| Diabetic glucose tolerance | 85% |
Critical insight: Over half of people with completely normal glucose responses already have hyperinsulinemia—the earliest detectable metabolic abnormality.
Fasting insulin alone missed 75% of hyperinsulinemia cases. Only the full insulin response pattern revealed dysfunction.
Mechanistic Insights
Hyperinsulinemia precedes glucose abnormalities by years to decades. The pancreas compensates for insulin resistance by producing more insulin, maintaining normal glucose until compensation fails.
Clinical Implications
Fasting glucose and A1C are late markers of metabolic disease. Earlier detection requires:
- •Fasting insulin (imperfect but accessible)
- •TG/HDL ratio as proxy
- •Full OGTT with insulin (gold standard but rarely done)
Metabolic Health Perspective
This study validates the metabolic optimization approach: identify and address hyperinsulinemia before glucose ever becomes abnormal. Prevention is far more effective than reversal of established diabetes.
Paradigm Relevance
How this study applies to different clinical perspectives:
Standard Medical
Conventional clinical guidelines used by most doctors
Not directly relevant to this paradigm
Research Consensus
RelevantCurrent scientific understanding, often ahead of guidelines
Metabolic Optimization
RelevantProactive targets for optimal health, not just disease absence
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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