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March 6, 2026European journal of medical researchOpen Access

Development and validation of a risk prediction model integrating WWI and lipocalin-2 for cognitive impairment in patients with type 2 diabetes

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Authors

KLKunyu LiuTNTong NiuJZJunru Zhou

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Overview

Cross-sectional evaluation reveals WWI and lipocalin-2 predict cognitive impairment in type 2 diabetes, suggesting improved risk assessment methods.

Key Points

  • This research aims to assess the relationship between weight-adjusted waist index (WWI), lipocalin-2, and mild cognitive impairment (MCI) in patients with type 2 diabetes.
  • Conducted a cross-sectional study with 410 patients having type 2 diabetes.
  • Collected anthropometric data, metabolic indices, LCN2 levels, and neuropsychological test scores.
  • Divided participants into training (70%) and validation (30%) cohorts for model development.
  • Used LASSO regression for predictor selection and multivariable logistic models for analysis.
  • Evaluated model performance based on discrimination and calibration across cohorts.
  • Participants with MCI had significantly higher WWI and LCN2 levels compared to those with normal cognition.
  • After adjusting for other factors, WWI and LCN2 remained significant predictors of MCI with notable odds ratios.
  • The multivariable model showed satisfactory discrimination with AUC values of 0.745 and 0.774 in training and validation cohorts, respectively.
  • The combined model outperformed individual predictors, indicating the potential for better cognitive risk stratification.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69aa710d531e4c4a9ff5b51chttps://doi.org/10.1186/s40001-026-04164-8
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