Nontraditional lipid and lipid-inflammatory parameters for risk stratification of abnormal glucose metabolism: a cross-sectional study in Chinese adults - Summary - MDSpire

Nontraditional lipid and lipid-inflammatory parameters for risk stratification of abnormal glucose metabolism: a cross-sectional study in Chinese adults

  • By

  • Dan-jing Chen

  • Hua Fang

  • Sheng-gen Wu

  • Wen Si

  • Shi-yuan Wang

  • Li-zhi Liu

  • Ying Han

  • Xian-E Peng

  • July 10, 2026

  • 0 min

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Objective:

To evaluate the associations and diagnostic ability of non-traditional lipid parameters and lipid-inflammation parameters with abnormal glucose metabolism, and to investigate the mediating role of high-sensitivity C-reactive protein (hs-CRP).

Approach:
  • Study Design: Cross-sectional survey data from 9,790 adults in Fujian Province, China (2020-2021) were analyzed, with 2,301 participants included in the final analysis.
Key Findings:
  • All parameters were significantly positively associated with impaired glucose metabolism.
  • Several parameters showed nonlinear dose-response relationships.
  • In prediabetes, atherogenic coefficient, Castelli’s index-I, remnant cholesterol-CRP index, and RC/HDL-C-CRP had superior diagnostic ability.
  • In diabetes, atherogenic index of plasma and RC/HDL-C-CRP performed better.
  • hs-CRP partially mediated the association between non-traditional lipid parameters and prediabetes.
Interpretation:

Non-traditional lipid parameters and lipid-inflammation parameters were significantly associated with impaired glucose metabolism, suggesting that incorporating inflammatory information may enhance identification of high-risk individuals.

Limitations:
  • The study is cross-sectional, limiting causal inferences.
  • Findings may not be generalizable beyond the Chinese adult population.
Conclusion:

Incorporating inflammatory information may enhance the identification of high-risk individuals, particularly in prediabetic populations.

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