Journal Article

Nonlinear association between atherogenic index of plasma and chronic kidney disease: a nationwide cross-sectional study

Zhang, Xin, Wang, Bo, Yan, Chuanzhu, Wang, Jun, Qu, Yinuo, Jiang, Chunqi

2024

Overview

Background The interplay between metabolic disorders and chronic kidney disease (CKD) has been well-documented. However, the connection between CKD and atherogenic index of plasma (AIP) remains understudied. This research delves into the correlation between these two factors, aiming to shed new light on their potential association. Methods The relationship between AIP and CKD was evaluated using a weighted multivariate logistic regression model, and the curvilinear relationship between AIP and CKD was explored through smooth curve fitting. We engaged a recursive partitioning algorithm in conjunction with a two-stage linear regression model to precisely determine the inflection point. By conducting stratified analyses, the heterogeneity within subpopulations was explored. Results In the regression model that accounted for all covariates, ORs (95% CI) for the association between CKD and AIP were 1.12 (0.91, 1.36), indicating no significant association between AIP and CKD. However, sensitivity analyses suggested that the relationship between them may be non-linear. Smooth curve analysis confirmed the non-linear relationship between AIP and CKD, identifying an inflection point at -0.55. Below this threshold, AIP exhibited a significant inverse correlation with CKD. Conversely, above this threshold, a pronounced positive correlation was detected. Stratified analyses elucidated that a non-linear association between AIP and CKD was observed among female participants and those aged 50 and above. Conclusion We found a curvilinear relationship between chronic kidney disease and atherogenic index of plasma.

• Publisher: BioMed Central,BioMed Central Ltd,BMC
• Subject: Adult / Aged / Atherogenic index of plasma / Atherosclerosis / Atherosclerosis - blood / Atherosclerosis - epidemiology / Biomedical and Life Sciences / Blood cholesterol / Blood plasma / Chronic kidney disease / Chronic kidney failure / Clinical Nutrition / Complications and side effects / Cross-Sectional Studies / Cross-sectional study / Curvilinear / Female / Health aspects / Health status indicators / Humans / Life Sciences / Lipidology / Logistic Models / Male / Medical Biochemistry / Medical research / Medicine, Experimental / Middle Aged / NHANES / Physiological aspects / Renal Insufficiency, Chronic - blood / Renal Insufficiency, Chronic - epidemiology / Risk Factors