Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China.
Front Endocrinol (Lausanne). 2024 May 14;15:1405828. doi: 10.3389/fendo.2024.1405828. eCollection 2024.
Atherogenic Index of plasma (AIP) is closely related to metabolic abnormalities. But as of now, there is no definitive conclusion on the dose-response relationship pattern between AIP and metabolic associated fatty liver disease (MAFLD).
The objective of this study was to provide a fresh insight for understanding the intrinsic link between AIP and the prevalence of MAFLD by exploring the dose-response pattern between AIP and MAFLD.
A total of 9254 participants received the survey and 1090 participants were finally included according to the screening criteria. To evaluate the association between AIP and the prevalence of MAFLD based on weighted multivariate logistic regression. Sensitivity analysis of the association between AIP and MAFLD was performed using propensity score matching (PSM). Restrictive cubic splines (RCS) were used to identify patterns of dose-response relationships between AIP and MAFLD, and receiver operator characteristic (ROC) curves were used to evaluate the predictive ability of AIP and traditional lipid parameters for MAFLD.
In this study, a total of 563 participants were found to have MAFLD. The results of weighted multivariate logistic regression analysis demonstrated that, after adjusting for sex and age, participants in the highest quartile (Q4) of AIP had a significantly increased risk of developing MAFLD compared to those in the lowest quartile (Q1) (Model 2: OR = 9.03, 95% CI 4.75-17.17). A similar trend was observed in the fully adjusted model (Model 3: OR = 3.85, 95% CI 1.55-9.52). The RCS analysis revealed a linear dose-response association between AIP and MAFLD( for crude non-linearity = 0.087). This association remained significant after accounting for potential confounding variables( for adjusted non-linearity = 0.663). The ROC curve results suggest that AIP performs better than traditional lipid indicators in predicting MAFLD (AUC = 0.732, 95%CI 0.705-0.758).
A linear dose-response relationship exists between AIP and MAFLD, suggesting that as AIP increases, so does the risk of developing MAFLD.
血浆致动脉粥样硬化指数（AIP）与代谢异常密切相关。但目前，关于 AIP 与代谢相关脂肪性肝病（MAFLD）之间的剂量-反应关系模式尚无明确结论。
本研究旨在通过探讨 AIP 与 MAFLD 之间的剂量-反应关系模式，为理解 AIP 与 MAFLD 之间的内在联系提供新的视角。
共纳入 9254 名参与者进行调查，根据筛选标准最终纳入 1090 名参与者。采用加权多变量 logistic 回归评估 AIP 与 MAFLD 患病率之间的关联。采用倾向评分匹配（PSM）对 AIP 与 MAFLD 之间的关联进行敏感性分析。采用限制性立方样条（RCS）识别 AIP 与 MAFLD 之间的剂量-反应关系模式，采用受试者工作特征（ROC）曲线评估 AIP 和传统血脂参数对 MAFLD 的预测能力。
本研究共发现 563 例 MAFLD 患者。加权多变量 logistic 回归分析结果显示，在校正性别和年龄后，AIP 最高四分位（Q4）组发生 MAFLD 的风险明显高于最低四分位（Q1）组（模型 2：OR=9.03，95%CI 4.75-17.17）。在完全校正模型（模型 3：OR=3.85，95%CI 1.55-9.52）中也观察到类似的趋势。RCS 分析显示，AIP 与 MAFLD 之间存在线性剂量-反应关系（未经调整的非线性=0.087）。在考虑潜在混杂因素后，这种关联仍然显著（经调整的非线性=0.663）。ROC 曲线结果表明，AIP 在预测 MAFLD 方面优于传统血脂指标（AUC=0.732，95%CI 0.705-0.758）。
AIP 与 MAFLD 之间存在线性剂量-反应关系，提示随着 AIP 的增加，MAFLD 的发病风险也随之增加。
