ReviewEndocrine2025
Obesity-related indices as predictors of lower extremity arterial disease in type 2 diabetes mellitus.
Review in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Comparison of the association and discriminatory ability of CVAI, LAP, CI, and AVI for type 2 diabetes in Chinese adults aged ≥ 50 years: a sex-specific analysis.Frontiers in endocrinology · 2026Article
- Construction and validation of a hypoglycemia risk prediction model for hospitalized type 2 diabetes patients based on machine learning.BMC endocrine disorders · 2025Article
- Bidirectional causal links between diabetes mellitus and autoimmune liver diseases: Insights from Mendelian randomization.Journal of diabetes investigation · 2025Article
- Predicting circadian syndrome by obesity indices in middle-aged and older Chinese: evidence from the China Health and Retirement Longitudinal Study.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Changes and Diagnostic Value of Serum CCL26 and CCR3 in T2DM with Lower Extremity Artery Disease.Vascular health and risk management · 2025Article
- Association of pan-immune inflammation value, platelet-to-neutrophil ratio and fibrinogen-to-albumin ratio with lower extremity artery disease in patients with type 2 diabetes mellitus: a cross-sectional study.Frontiers in endocrinology · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to investigate the relationship between obesity and lower extremity arterial disease (LEAD) in patients with type 2 diabetes mellitus (T2DM).
methodsThis retrospective study included 1821 patients with type 2 diabetes: 364 patients with LEAD and 1457 patients without LEAD. The patients were divided into training and internal test cohorts in a 7:3 ratio. LASSO regression analysis was used in the training cohort to filter relevant variables. Univariate and multivariate regression analyses were conducted to assess independent risk factors. A diagnostic nomogram was constructed and its discrimination was evaluated using the area under the ROC curve (AUC). The consistency was assessed using a calibration plot. The clinical application of the nomogram was evaluated by performing a decision curve analysis (DCA) and validated by an internal test cohort of the training cohorts.
resultsThe LEAD group exhibited significantly higher values in obesity-related indices compared to the non-LEAD group, including waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). Multivariate analysis identified BMI, CI, BAI, and other parameters as independent risk factors for LEAD. A nomogram was constructed, and the AUC value of the nomogram was 0.746 in the training cohort and 0.663 in the internal test cohort.
conclusionObesity-related indices are associated with LEAD in patients with T2DM. Therefore, it is important to manage waist circumference and weight to reduce the risk of LEAD in patients with T2DM.
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