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甘油三酯与血糖指数(TyG-BMI)与正常-高血压值及高血压之间的关联:来自非糖尿病患者群体的横断面证据

Associations between TyG-BMI and normal-high blood pressure values and hypertension: cross-sectional evidence from a non-diabetic population.

作者信息

Peng Nan, Kuang Maobin, Peng Yi, Yu Hang, Zhang Shuhua, Xie Guobo, Sheng Guotai, Zou Yang

机构信息

Department of Cardiology, Jiangxi Provincial People's Hospital, Medical College of Nanchang University, Nanchang, China.

Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.

出版信息

Front Cardiovasc Med. 2023 Apr 24;10:1129112. doi: 10.3389/fcvm.2023.1129112. eCollection 2023.

DOI:10.3389/fcvm.2023.1129112
PMID:37168658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10164981/
Abstract

OBJECTIVE

Triglyceride glucose body mass index (TyG-BMI) has been shown to be strongly associated with a variety of chronic diseases. However, little is known about the associations between TyG-BMI and normal-high blood pressure (BP) values and hypertension (HTN).

METHOD

The current study was cross-sectional in design and included 15,464 non-diabetic participants recruited between 1994 and 2016 in the NAGALA (NAfld in the Gifu Area, Longitudinal Analysis) study. Associations between TyG-BMI and normal-high BP values and HTN were assessed using multivariate logistic regression. The ability of the TyG index, BMI, and their combined index TyG-BMI to identify normal-high BP values and HTN was compared by receiver operating characteristic (ROC) curves.

RESULTS

Among the 15,464 eligible non-diabetic participants, 28.56% (4,416/15,464) and 6.23% (964/15,464) had normal-high BP values and HTN, respectively. Multivariate logistic regression analysis showed positive correlations between BMI, TyG index, TyG-BMI and normal-high BP values/HTN; after standardized regression coefficients, TyG-BMI had the strongest association with normal-high BP values and HTN compared to BMI and TyG index. In the fully adjusted model, the odds ratio (OR) value corresponding to the relationship between TyG-BMI and HTN/normal-high BP values was 2.35; when TyG-BMI was used as a categorical variable, compared with the lowest quartile of TyG-BMI the regression coefficient for the association of the highest quartile of TyG-BMI with normal-high BP values increased by 426%, while the regression coefficient for the association with HTN increased by 527%. In further spline regression analysis, we also found that there was a linearly positive correlation between TyG-BMI and systolic BP/diastolic BP (SBP/DBP), which supported the linear trend between TyG-BMI and HTN/normal-high BP values (-trend <0.0001). In addition, ROC analysis showed that TyG-BMI had good diagnostic values for both normal-high BP values and HTN, and TyG index combined with BMI can significantly improve the ability of a single index to identify normal-high BP values and HTN.

CONCLUSION

In the non-diabetic population, TyG-BMI showed a significant positive correlation with both normal-high BP values and HTN, and TyG-BMI was of higher value for the identification of both normal-high BP values and HTN compared to BMI and TyG index alone.

摘要

目的

甘油三酯葡萄糖体质指数(TyG-BMI)已被证明与多种慢性疾病密切相关。然而,关于TyG-BMI与正常高值血压(BP)及高血压(HTN)之间的关联,人们所知甚少。

方法

本研究为横断面设计,纳入了1994年至2016年期间在NAGALA(岐阜地区非酒精性脂肪性肝病纵向分析)研究中招募的15464名非糖尿病参与者。使用多因素逻辑回归评估TyG-BMI与正常高值BP及HTN之间的关联。通过受试者工作特征(ROC)曲线比较TyG指数、BMI及其联合指数TyG-BMI识别正常高值BP及HTN的能力。

结果

在15464名符合条件的非糖尿病参与者中,分别有28.56%(4416/15464)和6.23%(964/15464)的人患有正常高值BP及HTN。多因素逻辑回归分析显示BMI、TyG指数、TyG-BMI与正常高值BP/HTN之间呈正相关;标准化回归系数后,与BMI和TyG指数相比,TyG-BMI与正常高值BP及HTN的关联最强。在完全调整模型中,TyG-BMI与HTN/正常高值BP之间关系对应的比值比(OR)值为2.35;当将TyG-BMI用作分类变量时,与TyG-BMI最低四分位数相比,TyG-BMI最高四分位数与正常高值BP关联的回归系数增加了426%,而与HTN关联的回归系数增加了527%。在进一步的样条回归分析中,我们还发现TyG-BMI与收缩压/舒张压(SBP/DBP)之间存在线性正相关,这支持了TyG-BMI与HTN/正常高值BP之间的线性趋势(-趋势<0.0001)。此外,ROC分析表明TyG-BMI对正常高值BP及HTN均具有良好的诊断价值,且TyG指数与BMI联合可显著提高单一指标识别正常高值BP及HTN的能力。

结论

在非糖尿病人群中,TyG-BMI与正常高值BP及HTN均呈显著正相关,与单独的BMI和TyG指数相比,TyG-BMI在识别正常高值BP及HTN方面具有更高价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/2df79e6f998d/fcvm-10-1129112-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/a180d16c8401/fcvm-10-1129112-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/42ec6da38719/fcvm-10-1129112-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/2df79e6f998d/fcvm-10-1129112-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/a180d16c8401/fcvm-10-1129112-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/42ec6da38719/fcvm-10-1129112-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b20c/10164981/2df79e6f998d/fcvm-10-1129112-g003.jpg

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