Central Hospital of Jinan City, No. 105, Jiefang Road, Jinan City, Shandong Province, China.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No. 16369, Jingshi Road, Jinan City, Shandong Province, China.
Lipids Health Dis. 2024 Sep 27;23(1):312. doi: 10.1186/s12944-024-02288-6.
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.
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.
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.
We found a curvilinear relationship between chronic kidney disease and atherogenic index of plasma.
代谢紊乱与慢性肾脏病（CKD）之间的相互作用已有充分的记录。然而，CKD 与血浆致动脉粥样硬化指数（AIP）之间的联系仍研究不足。本研究深入探讨了这两个因素之间的相关性，旨在揭示它们之间潜在的关联。
使用加权多变量逻辑回归模型评估 AIP 与 CKD 之间的关系，并通过平滑曲线拟合探索 AIP 与 CKD 之间的曲线关系。我们结合递归分区算法和两阶段线性回归模型，精确确定拐点。通过进行分层分析，探索了亚人群内部的异质性。
在包含所有协变量的回归模型中，CKD 与 AIP 之间关联的 OR（95%CI）为 1.12（0.91，1.36），表明 AIP 与 CKD 之间没有显著关联。然而，敏感性分析表明它们之间的关系可能是非线性的。平滑曲线分析证实了 AIP 与 CKD 之间的非线性关系，确定拐点为-0.55。在此阈值以下，AIP 与 CKD 呈显著负相关。相反，在此阈值以上，检测到明显的正相关。分层分析表明，在女性参与者和 50 岁及以上的参与者中，AIP 与 CKD 之间存在非线性关联。
我们发现慢性肾脏病与血浆致动脉粥样硬化指数之间存在曲线关系。
