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γ-谷氨酰转移酶升高与非肥胖中国人群中非酒精性脂肪性肝病的发生呈非线性关联:一项二次回顾性研究。

Elevated gamma-glutamyl transferase has a non-linear association with incident non-alcoholic fatty liver disease in the non-obese Chinese population: a secondary retrospective study.

机构信息

Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong Province, China.

Department of Nephrology, Shenzhen Second People's Hospital, No.3002 Sungang Road, Futian District, Shenzhen, 518000, Guangdong Province, China.

出版信息

Lipids Health Dis. 2021 Oct 25;20(1):142. doi: 10.1186/s12944-021-01577-8.

DOI:10.1186/s12944-021-01577-8
PMID:34689770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8543857/
Abstract

BACKGROUND

Effective and applicable predictors of non-alcoholic fatty liver disease (NAFLD) are needed for the non-obese Chinese population. This study was undertaken to investigate: whether serum gamma-glutamyl transferase (GGT) was associated with incident NAFLD in the non-obese Chinese population.

METHODS

This was a retrospective cohort study that enrolled 33,153 initially NAFLD-free individuals who underwent a health examination in Wenzhou Medical Center of Wenzhou People's Hospital from January 2010 to December 2014. Serum GGT levels at the time of enrollment were evaluated in 11,906 persons who follow-up. The relationship between GGT levels and incident NAFLD was analyzed using Cox regression and generalized additive models after adjusting for demographic and clinical variables. In addition, Subgroup analysis was conducted, which was explored by Cox proportional hazard models. It was stated that the data had been downloaded from the DATADRYAD website.

RESULTS

Multivariable Cox regression models were used to estimate the hazard ratio (HR) for GGT with incident NAFLD after adjusted demographic and clinical variables (HR, 1.010; 95% CI, 1.007-1.012; P < 0.001). The incident NAFLD in the highest quartile of GGT levels was 3.653 times as high (95% confidence interval, 2.915 to 4.579) as that the lowest quartile. A non-linear relationship was firstly detected between GGT and incidence of NAFLD, which had an inflection point of GGT was 26 U/L. The effect sizes and the confidence intervals on the left and right sides of the inflection point were 1.104 (1.089-1.120) and 1.001 (0.999-1.004), respectively. In subgroup analyses, the hazard ratio for incident NAFLD remained consistent across subgroups.

CONCLUSIONS

In conclusion, the GGT level in the non-obese Chinese population was statistically significantly associated with incident NAFLD. The relationship between GGT level and incident NAFLD is non-linear. When GGT level is less than 26 U/L, GGT was strong positively with incident NAFLD.

摘要

背景

对于非肥胖的中国人,需要有效的、适用的非酒精性脂肪性肝病(NAFLD)预测因子。本研究旨在探讨:血清γ-谷氨酰转移酶(GGT)是否与非肥胖中国人的非酒精性脂肪性肝病(NAFLD)发病相关。

方法

这是一项回顾性队列研究,纳入了 2010 年 1 月至 2014 年 12 月期间在温州医科大学附属温州人民医院进行健康检查的 33153 例最初无非酒精性脂肪性肝病(NAFLD)的个体。在随访时评估了 11906 名个体的 GGT 水平。使用 Cox 回归和广义加性模型,在调整了人口统计学和临床变量后,分析了 GGT 水平与新发非酒精性脂肪性肝病(NAFLD)之间的关系。此外,还进行了亚组分析,使用 Cox 比例风险模型进行探索。研究数据来源于 DATADRYAD 网站。

结果

多变量 Cox 回归模型用于估计调整人口统计学和临床变量后 GGT 与新发非酒精性脂肪性肝病(NAFLD)的风险比(HR)(HR,1.010;95%置信区间,1.007-1.012;P<0.001)。GGT 水平最高四分位数的新发非酒精性脂肪性肝病(NAFLD)风险是最低四分位数的 3.653 倍(95%置信区间,2.915-4.579)。首先检测到 GGT 与非酒精性脂肪性肝病(NAFLD)之间存在非线性关系,GGT 的拐点为 26 U/L。拐点左侧和右侧的效应大小和置信区间分别为 1.104(1.089-1.120)和 1.001(0.999-1.004)。在亚组分析中,新发非酒精性脂肪性肝病(NAFLD)的风险比在各亚组中保持一致。

结论

总之,非肥胖中国人的 GGT 水平与新发非酒精性脂肪性肝病(NAFLD)呈统计学显著相关。GGT 水平与新发非酒精性脂肪性肝病(NAFLD)之间的关系是非线性的。当 GGT 水平低于 26 U/L 时,GGT 与新发非酒精性脂肪性肝病(NAFLD)呈强正相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/3daa6773b5f5/12944_2021_1577_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/af0c97f3efac/12944_2021_1577_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/c46ee6bf4bb8/12944_2021_1577_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/d5bb832271d3/12944_2021_1577_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/3daa6773b5f5/12944_2021_1577_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/af0c97f3efac/12944_2021_1577_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/c46ee6bf4bb8/12944_2021_1577_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/d5bb832271d3/12944_2021_1577_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f73/8543857/3daa6773b5f5/12944_2021_1577_Fig4_HTML.jpg

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