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Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19

BACKGROUND: The triglyceride and glucose index (TyG) has been proposed as a marker of insulin resistance. This study aims to evaluate the association of the TyG index with the severity and mortality of coronavirus disease 2019 (COVID-19). METHODS: The study included a cohort of 151 patients with COV...

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Autores principales: Ren, Huihui, Yang, Yan, Wang, Fen, Yan, Yongli, Shi, Xiaoli, Dong, Kun, Yu, Xuefeng, Zhang, Shujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213552/
https://www.ncbi.nlm.nih.gov/pubmed/32393351
http://dx.doi.org/10.1186/s12933-020-01035-2
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author Ren, Huihui
Yang, Yan
Wang, Fen
Yan, Yongli
Shi, Xiaoli
Dong, Kun
Yu, Xuefeng
Zhang, Shujun
author_facet Ren, Huihui
Yang, Yan
Wang, Fen
Yan, Yongli
Shi, Xiaoli
Dong, Kun
Yu, Xuefeng
Zhang, Shujun
author_sort Ren, Huihui
collection PubMed
description BACKGROUND: The triglyceride and glucose index (TyG) has been proposed as a marker of insulin resistance. This study aims to evaluate the association of the TyG index with the severity and mortality of coronavirus disease 2019 (COVID-19). METHODS: The study included a cohort of 151 patients with COVID-19 admitted in a tertiary teaching hospital in Wuhan. Regression models were used to investigate the association between TyG with severity and mortality of COVID-19. RESULTS: In this cohort, 39 (25.8%) patients had diabetes, 62 (41.1%) patients were severe cases, while 33 (22.0%) patients died in hospital. The TyG index levels were significantly higher in the severe cases and death group (mild vs. severe 8.7 ± 0.6 vs. 9.2 ± 0.6, P < 0.001; survivor vs. deceased 8.8 ± 0.6 vs. 9.3 ± 0.7, P < 0.001), respectively. The TyG index was significantly associated with an increased risk of severe case and mortality, after controlling for potential confounders (OR for severe case, 2.9, 95% CI 1.2–6.3, P = 0.007; OR for mortality, 2.9, 95% CI 1.2–6.7, P = 0.016). The associations were not statistically significant for further adjustment of inflammatory factors. CONCLUSION: TyG index was closely associated with the severity and morbidity in COVID-19 patients, thus it may be a valuable marker for identifying poor outcome of COVID-19.
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spelling pubmed-72135522020-05-11 Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19 Ren, Huihui Yang, Yan Wang, Fen Yan, Yongli Shi, Xiaoli Dong, Kun Yu, Xuefeng Zhang, Shujun Cardiovasc Diabetol Original Investigation BACKGROUND: The triglyceride and glucose index (TyG) has been proposed as a marker of insulin resistance. This study aims to evaluate the association of the TyG index with the severity and mortality of coronavirus disease 2019 (COVID-19). METHODS: The study included a cohort of 151 patients with COVID-19 admitted in a tertiary teaching hospital in Wuhan. Regression models were used to investigate the association between TyG with severity and mortality of COVID-19. RESULTS: In this cohort, 39 (25.8%) patients had diabetes, 62 (41.1%) patients were severe cases, while 33 (22.0%) patients died in hospital. The TyG index levels were significantly higher in the severe cases and death group (mild vs. severe 8.7 ± 0.6 vs. 9.2 ± 0.6, P < 0.001; survivor vs. deceased 8.8 ± 0.6 vs. 9.3 ± 0.7, P < 0.001), respectively. The TyG index was significantly associated with an increased risk of severe case and mortality, after controlling for potential confounders (OR for severe case, 2.9, 95% CI 1.2–6.3, P = 0.007; OR for mortality, 2.9, 95% CI 1.2–6.7, P = 0.016). The associations were not statistically significant for further adjustment of inflammatory factors. CONCLUSION: TyG index was closely associated with the severity and morbidity in COVID-19 patients, thus it may be a valuable marker for identifying poor outcome of COVID-19. BioMed Central 2020-05-11 /pmc/articles/PMC7213552/ /pubmed/32393351 http://dx.doi.org/10.1186/s12933-020-01035-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Investigation
Ren, Huihui
Yang, Yan
Wang, Fen
Yan, Yongli
Shi, Xiaoli
Dong, Kun
Yu, Xuefeng
Zhang, Shujun
Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
title Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
title_full Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
title_fullStr Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
title_full_unstemmed Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
title_short Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
title_sort association of the insulin resistance marker tyg index with the severity and mortality of covid-19
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213552/
https://www.ncbi.nlm.nih.gov/pubmed/32393351
http://dx.doi.org/10.1186/s12933-020-01035-2
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