Association between atherogenic index of plasma and peripheral arterial disease

<b></b> <i>Background:</i> Growing body of evidence suggests that the atherogenic dyslipidemia phenotype is a precursor to Peripheral Arterial Disease (PAD). Nonetheless, there is limited research regarding the association between Atherogenic Index of Plasma (AIP) and PAD which utilized a community population-based database in the United States. We sought to fill this knowledge gap. <i>Methods:</i> A total of 3,517 participants from the National Health and Nutrition Examination Survey 1999-2004 cycles were enrolled in our study. AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). Logistic regression models were adopted to reveal the relationship of AIP and PAD. Additionally, stratified and interaction analyses were also undertaken to see if the relationship was stable in different subgroups. <i>Results:</i> Participants in the higher tertile of AIP tended to have higher prevalence of PAD. A positive correlation was identified between AIP increase and PAD after fully multivariate adjustment (OR=1.30, 95% CI: 1.06-1.59). The multivariable-adjusted OR and 95% CI of the highest AIP tertile compared with the lowest tertile was 1.50 (1.07-2.1). Subgroup analysis demonstrated that the positive association between AIP and PAD was persistent across population subgroups. <i>Conclusions:</i> Our findings demonstrate a positive association between AIP and the incidence of PAD among adults in American adults. Specifically, 1 unit increase in AIP led to a 30% greater risk of PAD.

Authors

Institutions

Publication Details

Journal
VASA
Published
2024-11-26
DOI
https://doi.org/10.1024/0301-1526/a001160
Citations
3
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between atherogenic index of plasma and peripheral arterial disease

Huiqi Hong, Shaofang Chen, Lei Wu
3 citations
VASA
Lipoproteins and Cardiovascular Health
1.72
article

Association between atherogenic index of plasma and peripheral arterial disease

Huiqi Hong, Shaofang Chen, Lei Wu
article en
3 citations

Abstract

<b></b> <i>Background:</i> Growing body of evidence suggests that the atherogenic dyslipidemia phenotype is a precursor to Peripheral Arterial Disease (PAD). Nonetheless, there is limited research regarding the association between Atherogenic Index of Plasma (AIP) and PAD which utilized a community population-based database in the United States. We sought to fill this knowledge gap. <i>Methods:</i> A total of 3,517 participants from the National Health and Nutrition Examination Survey 1999-2004 cycles were enrolled in our study. AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). Logistic regression models were adopted to reveal the relationship of AIP and PAD. Additionally, stratified and interaction analyses were also undertaken to see if the relationship was stable in different subgroups. <i>Results:</i> Participants in the higher tertile of AIP tended to have higher prevalence of PAD. A positive correlation was identified between AIP increase and PAD after fully multivariate adjustment (OR=1.30, 95% CI: 1.06-1.59). The multivariable-adjusted OR and 95% CI of the highest AIP tertile compared with the lowest tertile was 1.50 (1.07-2.1). Subgroup analysis demonstrated that the positive association between AIP and PAD was persistent across population subgroups. <i>Conclusions:</i> Our findings demonstrate a positive association between AIP and the incidence of PAD among adults in American adults. Specifically, 1 unit increase in AIP led to a 30% greater risk of PAD.

VASAVol. 54(3)
The First People's Hospital of Shunde (CN), Southern Medical University (CN)
Zero hunger
Openalex Percentile: Top 14%
Lipoproteins and Cardiovascular Health
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.