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Cohort Study2010

Nwagha 2010: AIP as Predictor of Cardiovascular Risk

Nwagha et al.Clinica Chimica Acta

Key Finding

AIP is a useful predictor of cardiovascular risk in metabolic syndrome

Original title: Atherogenic index of plasma as useful predictor of cardiovascular risk

Plain English Summary

Study validating AIP as a useful predictor of cardiovascular risk, particularly in patients with metabolic syndrome. Demonstrates practical utility of this simple calculation.

In-Depth Analysis

Background

Dr. U.I. Nwagha and colleagues published this study in Clinica Chimica Acta (PMID: 21327136), validating the Atherogenic Index of Plasma (AIP) as a predictor of cardiovascular risk in patients with metabolic syndrome.

Study Design

Design: Cross-sectional study Population: Adults with and without metabolic syndrome Measurements: Lipid profile, AIP calculation [log(TG/HDL-C)], other cardiovascular risk markers Analysis: Correlation and predictive value assessment

Key Findings

AIP comparison:

GroupMean AIPP value
Metabolic syndrome0.35 ± 0.21
Controls0.08 ± 0.18<0.001

AIP correlations with cardiovascular risk factors:

  • HOMA-IR: r = 0.48 (p < 0.001)
  • Waist circumference: r = 0.42 (p < 0.001)
  • BMI: r = 0.35 (p < 0.001)
  • Blood pressure: r = 0.28 (p < 0.01)

Key finding: AIP outperformed individual lipid parameters for identifying metabolic syndrome.

Mechanistic Insights

AIP integrates multiple metabolic derangements:

  1. Elevated TG reflects hepatic insulin resistance
  2. Low HDL reflects impaired reverse cholesterol transport
  3. The ratio captures small, dense LDL predominance
  4. Log transformation normalizes the distribution

Clinical Implications

AIP provides a simple, cost-effective cardiovascular risk marker from routine lipid testing. Particularly useful in resource-limited settings where advanced lipid testing is unavailable.

Metabolic Health Perspective

AIP is a core marker for metabolic optimization—it responds rapidly to carbohydrate restriction and captures the atherogenic dyslipidemia of insulin resistance. Target: <0.11 (low risk category).

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

Relevant

Current scientific understanding, often ahead of guidelines

Metabolic Optimization

Relevant

Proactive targets for optimal health, not just disease absence

Study Details

Type
Cohort Study

Topic

Related Biomarkers

TRIGLYCERIDESHDL CAIP

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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