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Association between fatty liver index and cardiovascular-renal-metabolic syndrome risk: Nonlinear relationship based on NHANES 2011–2020 and mediating effect analysis of TyG, SII, and SIRI

医学 四分位数 优势比 代谢综合征 置信区间 内科学 体质指数 逻辑回归 混淆 脂肪肝 全国健康与营养检查调查 索引(排版) 调解 队列研究 胃肠病学 子群分析 内分泌学 适度 病例对照研究 可能性
作者
Qinke Lv,Chun Yao,Jian Zhong
出处
期刊:Medicine [Wolters Kluwer]
卷期号:104 (49): e46342-e46342
标识
DOI:10.1097/md.0000000000046342
摘要

The Fatty Liver Index (FLI) has been linked to several metabolic diseases, yet its relationship with cardiovascular-kidney-metabolic (CKM) syndrome remains uncertain. This cross-sectional study analyzed data obtained from the 2011-2020 National Health and Nutrition Examination Survey cycles. We employed multivariable-adjusted logistic regression models to examine the relationship between FLI and cardiovascular-kidney-metabolic (CKM) syndrome risk, complemented by comprehensive subgroup analyses. Restricted cubic spline (RCS) models with 3 knots were implemented to explore potential nonlinear associations between FLI and CKM syndrome. Furthermore, causal mediation analysis was conducted to assess the potential mediating roles of systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and triglyceride-glucose (TyG) index in the FLI-CKM syndrome association. In the fully adjusted model, a 1-unit increase in FLI was associated with an approximate 3% rise in CKM syndrome risk (adjusted odds ratio [OR] = 1.03, 95% confidence interval [CI]: 1.02-1.03, P < .001). Participants in the highest FLI quartile had an 18.1-fold higher risk of CKM syndrome compared to those in the lowest quartile (adjusted OR = 18.10, 95% CI: 11.70-27.90, P < .001). The RCS analysis confirmed a nonlinear relationship between FLI and CKM syndrome risk (P for non-linearity < .001, P for overall < .001). A threshold effect was identified, with 25.01 as the inflection point, after which the relationship between FLI and CKM syndrome risk leveled off. In addition, TyG, SII, and SIRI were identified as mediating factors between FLI and CKM prevalence, accounting for 18.82%, 0.77%, and 0.56% of the mediating proportions, respectively. The research findings emphasize the significant association between FLI and CKM prevalence, with TyG-related indicators playing a major mediating role.
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