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Erschienen in: Endocrine 2/2021

04.08.2021 | Original Article

Association of triglyceride–glucose index with intra- and extra-cranial arterial stenosis: a combined cross-sectional and longitudinal analysis

verfasst von: Anxin Wang, Xue Tian, Yingting Zuo, Shuohua Chen, Xiaoli Zhang, Jiahuan Guo, Shouling Wu, Xingquan Zhao

Erschienen in: Endocrine | Ausgabe 2/2021

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Abstract

Purpose

This study aimed to assess the cross-sectional and longitudinal associations of the triglyceride glucose (TyG) index, a simple surrogate marker of insulin resistance, with intra-cranial and extra-cranial artery stenosis (ICAS and ECAS) in Chinese adults.

Methods

Participants were recruited from the Asymptomatic Polyvascular Abnormalities Community study, 5381 participants were enrolled in the cross-sectional analysis, then 3447 and 1853 participants in the longitudinal analysis for incident ICAS and ECAS, respectively. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Multivariable logistic analysis was used to calculate odds ratio (OR) and 95% confidence interval (CI).

Results

The results of the cross-sectional and longitudinal analysis were basically the same, as the fully adjusted OR comparing participants in the highest tertile versus lowest tertile of the TyG index was 1.34 (95% CI, 1.13–1.59) for the prevalence of ECAS and 1.85 (95% CI, 1.26–2.71) for incident ECAS, respectively. The addition of TyG index to a conventional model had an incremental effect on the predictive value for ECAS. However, we did not observe any significant association between the TyG index and ICAS.

Conclusions

Elevated TyG index was significantly associated with a higher risk of ECAS, but not with ICAS in Chinese adults. This conclusion lends support to the clinical significance of the TyG index for the assessment of artery stenosis, especially for ECAS.
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Metadaten
Titel
Association of triglyceride–glucose index with intra- and extra-cranial arterial stenosis: a combined cross-sectional and longitudinal analysis
verfasst von
Anxin Wang
Xue Tian
Yingting Zuo
Shuohua Chen
Xiaoli Zhang
Jiahuan Guo
Shouling Wu
Xingquan Zhao
Publikationsdatum
04.08.2021
Verlag
Springer US
Erschienen in
Endocrine / Ausgabe 2/2021
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-021-02794-y

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