Associations of the atherogenic index of plasma with insulin resistance and inflammation.

Rev Assoc Med Bras (1992)

Yalova University, Faculty of Medicine, Department of Family Medicine - Yalova, Turkey.

Published: December 2024

AI Article Synopsis

  • The study explored how the atherogenic index of plasma (AIP) is linked to insulin resistance and its role in assessing inflammation, specifically looking at correlations with platelet/lymphocyte and neutrophil/lymphocyte ratios.
  • The analysis involved data from 510 patients, revealing a mean AIP of 0.40, with a significant portion (69%) at high risk and various positive correlations found with age, inflammation markers, and insulin resistance indicators.
  • The findings suggest that AIP could be a valuable tool for predicting insulin resistance and understanding inflammation, highlighting its potential for improving clinical risk assessments and management strategies.

Article Abstract

Objective: This study aimed to investigate the association between the atherogenic index of plasma and insulin resistance, while also evaluating atherogenic index of plasma's prognostic value in inflammation by examining its correlation with platelet/lymphocyte ratio and neutrophil/lymphocyte ratio.

Methods: Data collection involved accessing records from January 2022 to December 2022, with analyses including calculation of atherogenic index of plasma and homeostatic model assessment index.

Results: Data from 510 patients (mean age: 48.90±18.71 years; 69.4% female) showed a mean atherogenic index of plasma of 0.40±0.28, with 69% at high risk. Significant positive correlations were found between atherogenic index of plasma and age, lymphocyte, neutrophil, C-reactive protein, glucose, insulin, and homeostatic model assessment-insulin resistance, while the correlation with platelet/lymphocyte ratio was significantly negative.

Conclusion: Atherogenic index of plasma presents as a promising predictor for insulin resistance, demonstrating robust associations with inflammation, thus offering valuable clinical insights and potential for early risk assessment and management strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11639574PMC
http://dx.doi.org/10.1590/1806-9282.20240991DOI Listing

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