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Association between peripheral blood inflammatory markers and carotid atherosclerotic plaques in an elderly population
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Ye LI, Ting YU, Ting LIU, Bo-wen LEI, Lin CHEN, Jia-yuan LI, Xia JIANG
Modern Preventive Medicine | 2026, 53(3) : 435 - 441
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Modern Preventive Medicine | 2026, 53(3): 435-441
• Epidemiology and Statistical Methods •
Association between peripheral blood inflammatory markers and carotid atherosclerotic plaques in an elderly population
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Ye LI, Ting YU, Ting LIU, Bo-wen LEI, Lin CHEN, Jia-yuan LI, Xia JIANG
Affiliations
  • West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-02-10 doi: 10.20043/j.cnki.MPM.202502373
Outline
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Objective

To investigate the association between peripheral blood inflammatory markers and carotid atherosclerotic plaque in an elderly population.

Methods

A cross-sectional study was conducted, including 6 569 participants from the West China Elderly Cohort who met inclusion criteria between May 2022 and November 2023. Unconditional Logistic regression was used to examine the relationship between inflammatory markers and carotid atherosclerotic plaque, with stratified and interaction analyses conducted for further insights. Multinomial Logistic regression was applied to explore the associations between inflammatory markers and the severity of carotid atherosclerotic plaques (single/multiple).

Results

Unconditional Logistic regression revealed significant associations between plaque formation risk and white blood cell count (OR=1.06, 95% CI: 1.03-1.10, P<0.001), neutrophils count (OR=1.06, 95% CI: 1.02-1.11, P=0.002), monocytes (OR=2.95, 95% CI: 2.02-4.32, P<0.001), and SIRI (OR=1.13, 95% CI: 1.05-1.22, P<0.001). Stratified analysis identified platelets as significantly associated with plaque formation in elderly individuals with diabetes, with a multiplicative interaction observed (P=0.023).Multinomial Logistic regression revealed that monocytes were specifically associated with the risk of single plaques (OR=2.14,95% CI: 1.33-3.43, P=0.002), whereas white blood cells, neutrophils, monocytes, platelets, neutrophil-lymphocyte ratio (NLR),systemic immune-inflammation index (SII), and systemic inflammatory response index (SIRI) were linked to the risk of multiple plaques (P<0.05).

Conclusion

Peripheral blood inflammatory markers are closely related to the formation and severity of carotid atherosclerotic plaques in the elderly, providing valuable insights for assessing carotid atherosclerosis risk.

Inflammation  /  Carotid atherosclerotic plaque  /  Cross-sectional study  /  Logistic regression analysis
李叶, 于婷, 刘婷, 雷博文, 陈林, 李佳圆, 姜侠. 外周血炎症指标与老年人群颈动脉粥样硬化斑块的关联性研究. 现代预防医学, 2026 , 53 (3) : 435 -441 . DOI: 10.20043/j.cnki.MPM.202502373
Ye LI, Ting YU, Ting LIU, Bo-wen LEI, Lin CHEN, Jia-yuan LI, Xia JIANG. Association between peripheral blood inflammatory markers and carotid atherosclerotic plaques in an elderly population[J]. Modern Preventive Medicine, 2026 , 53 (3) : 435 -441 . DOI: 10.20043/j.cnki.MPM.202502373
Year 2026 volume 53 Issue 3
27
15
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doi: 10.20043/j.cnki.MPM.202502373
  • Receive Date:2025-02-21
  • Online Date:2026-11-02
  • Published:2026-02-10
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  • Received:2025-02-21
Affiliations
    West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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