Association between pan-immune-inflammation value and hyperlipidemia in the United States population

Object: To investigate the possible association between pan-immune-inflammation value (PIV) and hyperlipidemia. Methods: The authors selected the relevant data from National Health and Nutrition Examination Survey (NHANES) for a detailed cross-sectional study. The independent variable used the logarithmic form of PIV-log10 (PIV). The definition of dependent variable-hyperlipidemiawas based on the National Cholesterol Education Program standards. Both variables were calculated from measured laboratory data. Weighted multivariate logistic regression analyses and restricted cubic splines (RCS) were conducted to analyze the association between PIV and hyperlipidemia. Stratified analyses were used to identify potential associations between PIV and hyperlipidemia with other covariates. The study also constructed the receiver operating characteristic (ROC) curve to assess the predictive value for hyperlipidemia of PIV compared to systemic immune-inflammation index (SII). Results: In the study, 7,715 participants from NHANES were included. After adjusting for all confounders, PIV and hyperglycemia had an significantly positive association (OR (95%CI): 1.55 (1.17-2.06); P = 0.002). Compared to participants with lowest quartile (Q1) of PIV, participants with the highest quartile (Q4) had a significantly higher risk of hyperlipidemia (OR (95%CI): 1.47 (1.21-1.79); P < 0.001). The RCS curve showed a linear relationship between PIV and hyperlipidemia ( P -nonlinear = 0.0633, P -overall < 0.001). The ROC curve found that compared with SII, PIV had a slightly higher predictive value (0.547 vs 0.542, P = 0.267). Conclusion: This national cross-sectional study discovered that PIV had a significantly positive relationship with hyperlipidemia, particularly in young overweight individuals. More prospective studies are needed to verify whether the PIV is a more reliable and effective index for assessing the risk of hyperlipidemia.