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Chinese Journal of Clinical Laboratory Management(Electronic Edition) ›› 2025, Vol. 13 ›› Issue (03): 159-165. doi: 10.3877/cma.j.issn.2095-5820.2025.03.005

• Experiment Research • Previous Articles    

Association between complete blood count-derived inflammatory indices and lower extremity atherosclerotic lesions in patients with type 2 diabetes mellitus

Longbin Cao1, Yuansi Lu2,(), Xin Qiu1, Qi Ye1   

  1. 1 Department of Clinical Laboratory, the Seventh Affiliated Hospital of Southern Medical University, Foshan Guangdong 528244, China
    2 Nursing Department, Community Health Service Center of Lishui Town, Foshan Guangdong 528244, China
  • Received:2024-05-07 Online:2025-08-28 Published:2025-10-15
  • Contact: Yuansi Lu

Abstract:

Objective

To investigate the relationship between complete blood count-derived inflammatory indices and lower extremity atherosclerotic disease (LEAD) in patients with type 2 diabetes mellitus (T2DM).

Methods

This cross-sectional study enrolled 227 T2DM patients without LEAD (T2DM group), 127 T2DM patients with LEAD (T2DM+LEAD group), and 100 healthy controls. Demographic and clinical data were collected. Absolute counts of WBC, neutrophils, lymphocytes, monocytes, and PLT were measured. Inflammatory indices including systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), derived NLR (d-NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and neutrophil-to-monocyte ratio (NMR) were calculated. Statistical analyses were performed to evaluate the associations between these indices and T2DM and T2DM-LEAD patients.

Results

Compared with the T2DM group, the T2DM+LEAD group exhibited significantly higher SII, NLR, d-NLR, and PLR values (all P<0.05), while LMR was significantly lower (P<0.05). Multivariate regression analysis identified age (β=0.124, OR=1.132, P<0.001), SII (β=0.004, OR=1.004, P<0.001), NLR (β=0.426, OR=1.531, P=0.027), and PLR (β=0.003, OR=1.003, P=0.032) as independent risk factors for LEAD in T2DM patients. Receiver operating characteristic (ROC) curve analysis revealed an area under the curve of 0.749 (95% CI: 0.700~0.793) for SII and 0.682 (95% CI: 0.631~0.731) for NLR.

Conclusion

The SII may serve as a significant biomarker for predicting LEAD in T2DM patients, demonstrating moderate predictive efficacy.

Key words: systemic immune-inflammation index, type 2 diabetes mellitus, lower extremity atherosclerotic disease, inflammation indexes

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