Evidence map›Paper›PMID 42275293›Full record

ArticleAnnals of medicine2026

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

Wenzhen Li, Hong Zhang, Shuo Yang, Dajie Chen, Lap Ah Tse

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Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Wenzhen LiJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0009-0001-7152-9791
Hong ZhangDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0009-0007-6631-8010
Shuo YangDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0009-0006-7570-8814
Dajie ChenDepartment of Health Service and Management, School of Medicine and Health, Wuhan Polytechnic University, Wuhan, Hubei China.
Lap Ah TseJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence regarding the relationships between atherogenic index of plasma (AIP)-related indices and carotid atherosclerosis (CA) is limited.

methodsA 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).

resultsPer 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).

conclusionsAIP-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.

Indexed as

AtherosclerosisCarotid Artery DiseasesAgedBody Mass IndexCarotid Intima-Media ThicknessChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsWaist CircumferenceAtherogenic index of plasmacarotid atherosclerosiscarotid intima-media thicknessplaquestenosis

Identifiers

PMID42275293
PMCPMC13262098

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.