Association between the risk of hypertension and triglyceride glucose index in Chinese regions: a systematic review and dose-response meta-analysis of a regional update

Background Triglyceride-glucose (TyG) index has been reported to be associated with various cardiovascular diseases in recent years. However, the conclusive association between the TyG index and hypertension was not established in the last meta-analysis. Furthermore, it remains unclear whether a lin...

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Published inFrontiers in cardiovascular medicine Vol. 10; p. 1242035
Main Authors Xu, An-ran, Jin, Qiuyu, Shen, Zhisheng, Zhang, Jiaqi, Fu, Qiang
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 31.07.2023
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Summary:Background Triglyceride-glucose (TyG) index has been reported to be associated with various cardiovascular diseases in recent years. However, the conclusive association between the TyG index and hypertension was not established in the last meta-analysis. Furthermore, it remains unclear whether a linear relationship exists between these two variables. Methods We conducted a comprehensive search of the CNKI, VIP, WanFang Data, CBM, PubMed, EMbase, Web of Science, and The Cochrane Library databases up until May 10, 2023, to identify relevant studies conducted in China. We used Stata version 17.0 and Rstudio version 4.2.1 to analyze the data and assess the association between the TyG index and the risk of hypertension, as well as the dose-response relationship between these two variables. We will select either a random-effects model or a fixed-effects model based on the results of the heterogeneity tests and report 95% confidence intervals accordingly. Results In the end, our analysis encompassed 22 studies involving a total of 668,486 participants, comprising 12 cross-sectional studies and 10 cohort studies. Meta-analysis results showed: Analysis of data from China revealed that an elevated TyG index was associated with a higher risk of developing hypertension, as indicated by an OR/HR of 1.36 [95%CI (1.28–1.45) I 2  = 69.0% P  < 0.001]. Through meta-regression analysis of multiple covariates, we found that study type, study region, sample size, database source, and study quality score, the above five variables were able to explain 63.0% of the total heterogeneity. The results of the dose-response Meta-analysis showed: The TyG index has a linear relationship with the risk of developing hypertension, as indicated by non-significant coefficients of higher-order terms in the nonlinear model ( P  > 0.05). The linear trend analysis showed that for every one-unit increase in the TyG index, the risk of developing hypertension increased by 1.5 times [1.532 95%CI (1.294, 1.813) P  < 0.001]. However, this result is influenced by the number of studies included in the dose-response analysis and requires further corroboration. Conclusion In the Chinese region, there was an independent association between TyG index and the risk of developing hypertension, with a linear trend. However, the results of the linear trend need to be corrected by the more number of related studies. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023425836 .
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Abbreviations TyG, Triglyceride–glucose; HR, Hazard Ratio; OR, Odds Ratio; CI, Confidence interval; HOMA-IR, Homeostatic Model Assessment of Insulin Resistance; BMI, Body Mass Index; COVID-19, Corona Virus Disease 2019.
Edited by: Serafino Fazio, Federico II University Hospital, Italy
Reviewed by: Alessandra Cuomo, Federico II University Hospital, Italy Fabrizio Salvucci, Ticinello Cardiovascular and Metabolic Centre, Italy
ISSN:2297-055X
2297-055X
DOI:10.3389/fcvm.2023.1242035