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Cited 10 time in webofscience Cited 12 time in scopus
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Gamma-glutamyl transferase variability and the risk of hospitalisation for heart failure

Authors
Hong, So-hyeonLee, Ji SungKim, Jung A.Lee, You-BinRoh, EunYu, Ji HeeKim, Nam HoonYoo, Hye JinSeo, Ji A.Kim, Sin GonKim, Nan HeeBaik, Sei HyunChoi, Kyung Mook
Issue Date
Jul-2020
Publisher
BMJ Publishing Group
Keywords
Heart failure; epidemiology; cardiac risk factors and prevention
Citation
Heart, v.106, no.14, pp 1080 - 1086
Pages
7
Indexed
SCIE
SCOPUS
Journal Title
Heart
Volume
106
Number
14
Start Page
1080
End Page
1086
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/49303
DOI
10.1136/heartjnl-2019-316271
ISSN
1355-6037
1468-201X
Abstract
Objective Gamma-glutamyl transferase (GGT) is associated with oxidative stress, inflammation, cardiovascular disease and mortality. Variability in metabolic parameters has recently emerged as an indicator of adverse health outcomes, including heart failure (HF). Methods We investigated whether GGT variability was associated with the incidence of hospitalisation for heart failure (HHF) in a Korean population without previous HF, ischaemic heart disease or liver disease. This longitudinal cohort study analysed 119201 individuals from the Korean National Health Insurance Service-National Health Screening Cohort. GGT variability was calculated as the coefficient of variation (CV), SD and variability independent of the mean (VIM). Results During the 8.4 years of follow-up, 1387 cases of HHF (1.16%) developed. In the multivariable-adjusted model, the HR of HHF was 1.22 (95% CI 1.05 to 1.42) in the highest quartile of GGT variability compared with the lowest quartile, as assessed by CV after adjusting for confounding factors, including alcohol consumption and mean GGT levels. Consistent results were obtained using other indices of GGT variability such as SD (HR 1.37, 95% CI 1.16 to 1.62) and VIM (HR 1.29, 95% CI 1.11 to 1.50). In a subgroup analysis stratified by risk factor variables, although a similar relationship was observed, it was more prominent in individuals with dyslipidaemia. Conclusions The results of the present study demonstrated that variability in GGT was independently associated with the incidence of HHF. These findings suggest that higher GGT variability may be useful as an indicator of future risk of HF.
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Choi, Kyung Mook
Guro Hospital (Department of Endocrinology and Metabolism, Guro Hospital)
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