The value of triglyceride-glucose-body shape index (TyG-ABSI) in evaluating stroke: a multi-centre cross-sectional study.

IF 4.8 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Hanlin Liu, Mingxiao Li, Ziyi Zhang, Yu Duan, Ke Yang, Jiang Liu
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引用次数: 0

Abstract

Background: Stroke is the second leading cause of disability and mortality worldwide. A body shape index (ABSI) is calculated as waist circumference / (body mass index 2/3 × height 1/2). The TyG-ABSI is calculated as the product of the triglyceride-glucose index (TyG) and ABSI. To date, no studies have investigated the relationship between TyG-ABSI and stroke. Therefore, the purpose of this study is to fill this gap.

Methods: This multi-centre cross-sectional study included 14,394 participants from the National Health and Nutrition Examination Survey (NHANES) cycles 2007-2018 and 10,869 participants from the China Health and Retirement Longitudinal Study (CHARLS) performed from 2015-2016. The potential association between TyG-ABSI and stroke was investigated using multivariable logistic regression, supplemented by subgroup analyses, restricted cubic spline (RCS) regression and threshold effect analyses. Pearson correlation analyses and Boruta's algorithm were applied to select features. Subsequently, the discriminative ability of TyG-ABSI for stroke was assessed using seven machine learning models and the SHAP algorithm.

Results: After adjusting for sufficient covariates, the Odds Ratio (OR) for TyG-ABSI was 1.186 (95% CI: 1.027-1.370) in NHANES and 1.189 (95% CI: 1.058-1.336) in CHARLS. Subgroup analyses revealed that this association was more pronounced in non-elderly individuals without hypertension in NHANES. The RCS regression showed a linear relationship between TyG-ABSI and stroke, but no threshold effect was observed in two populations. Among the seven machine learning models, the Gradient Boosting Machine (GBM) performed the best, with an Area Under the Curve (AUC) of 0.784 (95%CI:0.751 - 0.817) in NHANES and 0.651(95%CI:0.604 - 0.699) in CHARLS.

Conclusion: This study demonstrates a positive association between TyG-ABSI and stroke. The results suggest that TyG-ABSI is a relatively valuable indicator associated with stroke and can improve the development of public health policies.

甘油三酯-葡萄糖-体型指数(TyG-ABSI)在评估卒中中的价值:一项多中心横断面研究。
背景:中风是全世界致残和死亡的第二大原因。体型指数(ABSI)的计算方法为腰围/(体重指数2/3 ×身高1/2)。TyG-ABSI计算为甘油三酯-葡萄糖指数(TyG)和ABSI的乘积。到目前为止,还没有研究调查TyG-ABSI与中风之间的关系。因此,本研究的目的就是填补这一空白。方法:本多中心横断面研究纳入了2007-2018年全国健康与营养检查调查(NHANES)周期的14,394名参与者和2015-2016年中国健康与退休纵向研究(CHARLS)的10,869名参与者。采用多变量logistic回归,辅以亚组分析、限制性三次样条(RCS)回归和阈值效应分析,研究TyG-ABSI与卒中之间的潜在关联。采用Pearson相关分析和Boruta算法进行特征选择。随后,使用7种机器学习模型和SHAP算法评估TyG-ABSI对中风的判别能力。结果:在调整足够的协变量后,TyG-ABSI在NHANES中的比值比(OR)为1.186 (95% CI: 1.027-1.370),在CHARLS中的比值比(OR)为1.189 (95% CI: 1.058-1.336)。亚组分析显示,这种关联在NHANES中无高血压的非老年个体中更为明显。RCS回归显示TyG-ABSI与卒中之间存在线性关系,但在两个人群中未观察到阈值效应。在7个机器学习模型中,梯度增强机(Gradient Boosting machine, GBM)表现最好,NHANES的曲线下面积(Area Under the Curve, AUC)为0.784 (95%CI:0.751 ~ 0.817), CHARLS的AUC为0.651(95%CI:0.604 ~ 0.699)。结论:本研究表明TyG-ABSI与脑卒中呈正相关。结果表明,TyG-ABSI是一个相对有价值的与脑卒中相关的指标,可以改善公共卫生政策的制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Medical Research
European Journal of Medical Research 医学-医学:研究与实验
CiteScore
3.20
自引率
0.00%
发文量
247
审稿时长
>12 weeks
期刊介绍: European Journal of Medical Research publishes translational and clinical research of international interest across all medical disciplines, enabling clinicians and other researchers to learn about developments and innovations within these disciplines and across the boundaries between disciplines. The journal publishes high quality research and reviews and aims to ensure that the results of all well-conducted research are published, regardless of their outcome.
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