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Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.

Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.

期刊: Annals of medicine 日期: 2026-12-01 PMID: 42275293 DOI: 10.1080/07853890.2026.2687227 浏览: 47
作者: Li W, Zhang H, Yang S, Chen D, Tse LA
W, L., H, Z., S, Y., D, C., & LA, T. (2026). Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.. Annals of medicine. https://doi.org/10.1080/07853890.2026.2687227
W L, H Z, S Y, D C, LA T. Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.. Annals of medicine. 2026; doi: 10.1080/07853890.2026.2687227
W L, H Z, S Y, et al. Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.[J]. Annals of medicine. 2026. DOI: 10.1080/07853890.2026.2687227.
@article{w2026,
  author = {Li W and Zhang H and Yang S and Chen D and Tse LA},
  title = {Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.},
  journal = {Annals of medicine},
  year = {2026},
  doi = {10.1080/07853890.2026.2687227},
  note = {PMID: 42275293},
}
TY  - JOUR
AU  - Li W
AU  - Zhang H
AU  - Yang S
AU  - Chen D
AU  - Tse LA
TI  - Associations of atherogenic index of plasma related indices with subclinical carotid atherosclerosis.
T2  - Annals of medicine
PY  - 2026
DO  - 10.1080/07853890.2026.2687227
AN  - PMID:42275293
ER  - 

摘要

BACKGROUND: Evidence regarding the relationships between atherogenic index of plasma (AIP)-related indices and carotid atherosclerosis (CA) is limited. METHODS: A total of 59123 participants from the China Stroke High-risk Population Screening and Intervention Program (CSHPSIP) in Hubei Province, China, from 2017 to 2020 were included in this cross-sectional study. Three indices were developed to assess AIP-related indices: AIP-body mass index (AIP-BMI), AIP-waist circumference (AIP-WC), and AIP-waist-height ratio (AIP -WHtR). RESULTS: Per 1-standard deviation (SD) increase in AIP-BMI (OR = 1.36, 95% CI = 1.31-1.41), AIP-WC (1.34, 1.29-1.38), and AIP-WHtR (1.33, 1.28-1.38) were associated with CIMT. Per 1-standard deviation (SD) increase in AIP-BMI (OR = 1.32, 95% CI = 1.28-1.37), AIP-WC (1.34, 1.29-1.38), and AIP-WHtR (1.33, 1.29-1.38) were associated with plaques. AIP-BMI, AIP-WC and AIP-WHtR were positively associated with stenosis when they were divided into interquartile range (IQR), compared with the Q1 group. The ROC analyses showed that AIP-BMI had the greatest diagnostic value for CA and CIMT, with the AUC of 0.833 (0.828, 0.838) and 0.817 (0.811, 0.824), respectively. AIP-BMI, AIP-WC and AIP-WHtR had the greatest diagnostic value for plaques, with the AUC of 0.842 (0.836, 0.848), 0.842 (0.836, 0.847), and 0.842 (0.836, 0.848), respectively. Meanwhile, all the four indices (AIP, AIP-BMI, AIP-WC and AIP-WHtR) showed the same diagnostic value for plaques, with the AUC of 0.871 (0.858, 0.884). CONCLUSIONS: AIP-related indices were positively associated with CA, carotid intima-media thickness (CIMT), plaque and stenosis. Future prospective studies are needed to confirm our findings and clarify their clinical utility.

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