The relationship between the atherogenic index of plasma and hyperuricemia in American adults aged over 20 years: A cross-sectional study.

After adjusting for all covariates, AIP showed a statistically significant positive correlation with the odds of hyperuricemia.

• OR = 3.22, 95% CI [2.54, 4.10], P < 0.001
• AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol)
• Analysis used multivariate logistic regression with adjustment for all covariates
• Study included 7,057 participants from NHANES 2011-2018

Participants in the highest AIP quartile (Q4) had a significantly higher risk of hyperuricemia compared to those in the lowest quartile (Q1).

• Q4 vs Q1: OR = 2.76, 95% CI [2.20, 3.45], P < 0.001
• This represents a 1.76-fold higher risk of HUA for participants in the highest AIP quartile compared to the reference quartile
• Quartile-based analysis was used to assess dose-response across AIP categories

A nonlinear inverted L-shaped association was found between AIP and the risk of hyperuricemia.

• The inflection point of the inverted L-shaped association was at AIP = 0.34
• Generalized additive models and smoothing fitting curves were used to characterize the nonlinear relationship
• The association was positive throughout but with a changing slope at the inflection point

Gender had a significant interaction with AIP in relation to hyperuricemia risk, with females showing a stronger association than males.

• Subgroup analysis revealed a statistically significant interaction between gender and AIP
• Females demonstrated a stronger association between AIP and HUA risk compared to males
• Stratified analyses confirmed the positive correlation between AIP and HUA risk was significant and consistent regardless of gender and BMI category
• Interaction tests were employed to assess effect modification by gender

The study population consisted of 7,057 American adults aged over 20 years drawn from a nationally representative database.

• Data were obtained from the National Health and Nutrition Examination Survey (NHANES) spanning 2011-2018
• Hyperuricemia was defined by serum uric acid (SUA) levels
• Multivariate logistic regression, generalized additive models, smoothing fitting curves, subgroup analyses, and interaction tests were employed
• This was a cross-sectional study design

The positive correlation between AIP and hyperuricemia risk was consistent across subgroups defined by gender and BMI category.

• Stratified analyses confirmed significance regardless of gender and body mass index (BMI) category
• The consistency of the association across subgroups supports the robustness of the primary finding
• Despite consistency across subgroups, gender modified the magnitude of the association