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Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population

BACKGROUND: Few studies discussed the predictive ability of aspartate aminotransferase/alanine aminotransferase (AST/ALT, DeRitis) ratio for diabetes risk. The aim of this study was to characterize the role of AST/ALT ratio in the prediction of Chinese diabetes. METHODS: This retrospective cohort st...

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Autores principales: Xie, Wangcheng, Yu, Weidi, Chen, Shanshan, Ma, Zhilong, Yang, Tingsong, Song, Zhenshun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666731/
https://www.ncbi.nlm.nih.gov/pubmed/36408044
http://dx.doi.org/10.3389/fpubh.2022.1049804
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author Xie, Wangcheng
Yu, Weidi
Chen, Shanshan
Ma, Zhilong
Yang, Tingsong
Song, Zhenshun
author_facet Xie, Wangcheng
Yu, Weidi
Chen, Shanshan
Ma, Zhilong
Yang, Tingsong
Song, Zhenshun
author_sort Xie, Wangcheng
collection PubMed
description BACKGROUND: Few studies discussed the predictive ability of aspartate aminotransferase/alanine aminotransferase (AST/ALT, DeRitis) ratio for diabetes risk. The aim of this study was to characterize the role of AST/ALT ratio in the prediction of Chinese diabetes. METHODS: This retrospective cohort study analyzed a Chinese population comprising 87,883 participants without diabetes at baseline between 2010 and 2016. Cox proportional hazards regression was used to identify independent risk factors. Restricted cubic spline (RCS) was performed to investigate the non-linear correlation between AST/ALT ratio and diabetes risk. RESULTS: During a median follow-up period of 3.01 years, 1,877 participants developed diabetes. Comparing the baseline characteristics, diabetes group exhibited lower AST/ALT ratio. The Kaplan-Meier curve showed that participants with low AST/ALT ratio had higher cumulative incidence, and Cox regression also demonstrated that the lower AST/ALT ratio, the higher diabetes risk (HR: 0.56, 95% CI: 0.37–0.85, P = 0.006). The RCS model revealed a non-linear correlation between AST/ALT ratio and diabetes risk. In the condition of AST/ALT ratio ≤1.18, diabetes risk increased as it decreased (HR: 0.42, 95% CI: 0.19–0.91, P = 0.028). In contrast, AST/ALT ratio did not independently affect diabetes when beyond 1.18. CONCLUSION: AST/ALT ratio is a valuable predictor of diabetes. Diabetes risk increases rapidly in the condition of AST/ALT ratio ≤1.18.
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spelling pubmed-96667312022-11-17 Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population Xie, Wangcheng Yu, Weidi Chen, Shanshan Ma, Zhilong Yang, Tingsong Song, Zhenshun Front Public Health Public Health BACKGROUND: Few studies discussed the predictive ability of aspartate aminotransferase/alanine aminotransferase (AST/ALT, DeRitis) ratio for diabetes risk. The aim of this study was to characterize the role of AST/ALT ratio in the prediction of Chinese diabetes. METHODS: This retrospective cohort study analyzed a Chinese population comprising 87,883 participants without diabetes at baseline between 2010 and 2016. Cox proportional hazards regression was used to identify independent risk factors. Restricted cubic spline (RCS) was performed to investigate the non-linear correlation between AST/ALT ratio and diabetes risk. RESULTS: During a median follow-up period of 3.01 years, 1,877 participants developed diabetes. Comparing the baseline characteristics, diabetes group exhibited lower AST/ALT ratio. The Kaplan-Meier curve showed that participants with low AST/ALT ratio had higher cumulative incidence, and Cox regression also demonstrated that the lower AST/ALT ratio, the higher diabetes risk (HR: 0.56, 95% CI: 0.37–0.85, P = 0.006). The RCS model revealed a non-linear correlation between AST/ALT ratio and diabetes risk. In the condition of AST/ALT ratio ≤1.18, diabetes risk increased as it decreased (HR: 0.42, 95% CI: 0.19–0.91, P = 0.028). In contrast, AST/ALT ratio did not independently affect diabetes when beyond 1.18. CONCLUSION: AST/ALT ratio is a valuable predictor of diabetes. Diabetes risk increases rapidly in the condition of AST/ALT ratio ≤1.18. Frontiers Media S.A. 2022-11-02 /pmc/articles/PMC9666731/ /pubmed/36408044 http://dx.doi.org/10.3389/fpubh.2022.1049804 Text en Copyright © 2022 Xie, Yu, Chen, Ma, Yang and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Xie, Wangcheng
Yu, Weidi
Chen, Shanshan
Ma, Zhilong
Yang, Tingsong
Song, Zhenshun
Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
title Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
title_full Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
title_fullStr Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
title_full_unstemmed Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
title_short Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
title_sort low aspartate aminotransferase/alanine aminotransferase (deritis) ratio assists in predicting diabetes in chinese population
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666731/
https://www.ncbi.nlm.nih.gov/pubmed/36408044
http://dx.doi.org/10.3389/fpubh.2022.1049804
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