Association between the triglyceride glucose index and acute kidney injury following traumatic brain injury

被引:0
|
作者
Pan, Rujun [1 ,3 ]
Li, Shaojie [1 ,2 ]
Wu, Baofang [1 ,2 ]
Wang, Jiayin [1 ,2 ]
Lin, Shanglu [1 ,2 ]
Chen, Longjie [1 ,2 ]
Wei, De [3 ,4 ]
Gao, Hongzhi [1 ,2 ]
机构
[1] Med Univ, Affiliated Clin Med Coll 2, Dept Neurosurg, Quanzhou 362000, Fujian, Peoples R China
[2] Fujian Med Univ, Affiliated Hosp 2, Dept Neurosurg, Quanzhou 362000, Peoples R China
[3] Fujian Med Univ, Shengli Clin Med Coll, Dept Neurosurg, Fuzhou 350001, Peoples R China
[4] Fuzhou Univ, Affiliated Prov Hosp, Dept Neurosurg, Fuzhou 350001, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Insulin resistance; Triglyceride glucose index; Propensity score matching; Traumatic brain injury; Acute kidney injury; Gender differences; INSULIN-RESISTANCE; NOMOGRAM;
D O I
10.1038/s41598-024-84690-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Acute kidney injury (AKI) is associated with adverse hospitalization. Previous studies have reported that an elevated triglyceride glucose (TyG) index is significantly associated with the development of AKI in patients with cardiovascular disease, as well as in those undergoing surgery; however, the potential of the TyG index to predict AKI following neurotrauma remains unclear. Patients diagnosed with traumatic brain injury (TBI) in Chinese tertiary hospitals between January 2014 and December 2023 were included in this retrospective study. The outcome was the incidence of AKI. TyG was identified as an independent risk factor for AKI using logistic regression and propensity score matching (PSM). Finally, the association between TyG index and AKI was further assessed using multivariate logistic regression, restricted cubic spline (RCS) regression, and subgroup analysis. The present study enrolled 1,505 patients with TBI, of whom 66.45% were male, with an average age of 55.47 +/- 17.32 years. The incidence of AKI was 9.4%. Multiple logistic regression analyses identified a relationship between the TyG levels and AKI risk. This relationship was retained after PSM. A significant positive correlation between TyG level and AKI was observed in all three models constructed using multivariate logistic regression. RCS regression analyses further indicated a linear increase in AKI risk with an increasing TyG index. In subgroup analyses, this correlation remained stable for the majority of the population but could be influenced by sex. TyG levels were positively correlated with the risk of AKI development in patients following TBI. As a predictive biomarker, the TyG index enables effective risk stratification and customization of management protocols to mitigate AKI in these patients, thus enhancing clinical outcomes.
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页数:13
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