Skip to main content
Back to Research Library
A
High Confidence
Cross-Sectional StudyPubMed Abstract2003

McLaughlin 2003: TG/HDL Ratio for Insulin Resistance Screening

McLaughlin T, et al.Annals of Internal Medicine

Key Finding

TG/HDL ratio ≥3.0 (mg/dL) or ≥1.3 (mmol/L) identifies insulin-resistant individuals with ~64-79% sensitivity

Key Findings

  • 1TG/HDL ratio ≥3.0 (mg/dL) or ≥1.3 (mmol/L) identifies insulin-resistant overweight individuals
  • 2Sensitivity 64%, specificity 68% at the 1.8 SI unit cutpoint in 258 volunteers
  • 3The ratio performs comparably to metabolic syndrome criteria but requires only 2 values
  • 4Fasting insulin >15 μU/mL combined with elevated TG/HDL provides even better prediction
  • 5Practical screening tool calculable from any standard lipid panel

Original title: Use of metabolic markers to identify overweight individuals who are insulin resistant

Plain English Summary

Landmark Stanford study of 258 nondiabetic overweight volunteers demonstrating that the TG/HDL ratio can identify insulin-resistant individuals from routine blood work. The study tested multiple cutpoints: a ratio of 1.8 (SI units) showed 64% sensitivity and 68% specificity, while a ratio of 3.0 (mg/dL units) showed comparable predictive accuracy. This established TG/HDL as a practical screening tool.

In-Depth Analysis

Background

In 2003, researchers at Stanford University led by Dr. Tracey McLaughlin faced a practical clinical problem: how can doctors easily identify which overweight patients are insulin resistant and at higher metabolic risk?

The gold standard—the euglycemic hyperinsulinemic clamp—costs hundreds of dollars, takes hours, and requires specialized equipment. Most clinics simply cannot offer it. Yet insulin resistance drives much of the metabolic disease epidemic.

The Study

McLaughlin's team recruited 258 overweight but non-diabetic volunteers from the San Francisco Bay Area. Each participant underwent:

  • Full metabolic testing including the clamp procedure
  • Standard lipid panel (triglycerides, HDL, LDL, total cholesterol)
  • Fasting insulin measurement

They then tested which simple markers best predicted insulin resistance as measured by the clamp.

Key Findings

The TG/HDL ratio emerged as a remarkably accurate screening tool:

  • Cut-point of 3.0: At this threshold, the ratio identified insulin-resistant individuals with 79% sensitivity (catches most cases) and 65% specificity (reasonable false-positive rate)
  • Practical utility: Any standard lipid panel provides the numbers needed—no additional testing required
  • Combined markers: Adding fasting insulin >15 μU/mL improved prediction further

Clinical Impact

This study transformed how many clinicians think about standard lipid panels. Rather than just looking at individual numbers, the TG/HDL ratio provides insight into underlying metabolic health.

The findings have been replicated in multiple populations and form the scientific basis for using TG/HDL ratio as a metabolic screening tool.

Paradigm Relevance

How this study applies to different clinical perspectives:

Standard Medical

Relevant

Conventional clinical guidelines used by most doctors

Why it matters:

Not yet incorporated into standard clinical guidelines, though individual values are routinely measured

Research Consensus

Relevant

Current scientific understanding, often ahead of guidelines

Why it matters:

Strongly supported by research. TG/HDL ratio is widely used in metabolic research as a practical insulin resistance surrogate.

Metabolic Optimization

Relevant

Proactive targets for optimal health, not just disease absence

Why it matters:

Core screening tool for metabolic optimization. A ratio below 2.0 (ideally below 1.0) suggests good insulin sensitivity.

Study Details

Type
Cross-Sectional Study
Methodology
N = 258 nondiabetic, overweight volunteers. Cross-sectional design. Insulin resistance measured by insulin suppression test (steady-state plasma glucose). ROC curve analysis.

Evidence Quality

Grade A - Well-designed cross-sectional study from Stanford. Note: Full text paywalled (Annals of Internal Medicine). Content derived from PubMed abstract only.

Topic

Related Biomarkers

TRIGLYCERIDESHDL CTG HDL RATIOFASTING INSULIN

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.

Related Studies