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Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study

BACKGROUND: Triglyceride-glucose (TyG) index is a simple and reliable surrogate marker for insulin resistance. Epidemiology studies have shown that insulin resistance is a risk factor for various infectious diseases. We evaluated the prognostic value of TyG index measured before the COVID-19 infecti...

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Autores principales: Chang, Yoonkyung, Jeon, Jimin, Song, Tae-Jin, Kim, Jinkwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225941/
https://www.ncbi.nlm.nih.gov/pubmed/35779467
http://dx.doi.org/10.1016/j.jiph.2022.06.014
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author Chang, Yoonkyung
Jeon, Jimin
Song, Tae-Jin
Kim, Jinkwon
author_facet Chang, Yoonkyung
Jeon, Jimin
Song, Tae-Jin
Kim, Jinkwon
author_sort Chang, Yoonkyung
collection PubMed
description BACKGROUND: Triglyceride-glucose (TyG) index is a simple and reliable surrogate marker for insulin resistance. Epidemiology studies have shown that insulin resistance is a risk factor for various infectious diseases. We evaluated the prognostic value of TyG index measured before the COVID-19 infection in COVID-19 infected patients. METHODS: From a nationwide COVID-19 cohort dataset in Korea, we included COVID-19 patients diagnosed between Jan and Jun 2020. Based on the nationwide health screening data between 2015 and 2018, TyG index was calculated as ln [triglyceride (mg/dL) × fasting glucose level (mg/dL)/2]. Primary outcome is development of severe complications of COVID-19 defined as composite of mechanical ventilation, intensive care unit care, high-flow oxygen therapy, and mortality within two months after the diagnosis of COVID-19. RESULTS: This study included 3887 patients with COVID-19 confirmed by reverse transcription polymerase chain reaction. Mean ± standard deviation of TyG index was 8.54 ± 0.61. Severe complications of COVID-19 were noted in 289 (7.44%) patients. In the multivariate logistic regression, TyG index was positively associated with severe complications of COVID-19 (adjusted odds ratio: 1.42, 95% confidence interval [1.12–1.79]). CONCLUSIONS: In COVID-19 infected patients, high TyG index was associated with increased risk for severe complications. TyG index might be useful predictor for the severity of COVID-19 infection.
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spelling pubmed-92259412022-06-24 Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study Chang, Yoonkyung Jeon, Jimin Song, Tae-Jin Kim, Jinkwon J Infect Public Health Original Article BACKGROUND: Triglyceride-glucose (TyG) index is a simple and reliable surrogate marker for insulin resistance. Epidemiology studies have shown that insulin resistance is a risk factor for various infectious diseases. We evaluated the prognostic value of TyG index measured before the COVID-19 infection in COVID-19 infected patients. METHODS: From a nationwide COVID-19 cohort dataset in Korea, we included COVID-19 patients diagnosed between Jan and Jun 2020. Based on the nationwide health screening data between 2015 and 2018, TyG index was calculated as ln [triglyceride (mg/dL) × fasting glucose level (mg/dL)/2]. Primary outcome is development of severe complications of COVID-19 defined as composite of mechanical ventilation, intensive care unit care, high-flow oxygen therapy, and mortality within two months after the diagnosis of COVID-19. RESULTS: This study included 3887 patients with COVID-19 confirmed by reverse transcription polymerase chain reaction. Mean ± standard deviation of TyG index was 8.54 ± 0.61. Severe complications of COVID-19 were noted in 289 (7.44%) patients. In the multivariate logistic regression, TyG index was positively associated with severe complications of COVID-19 (adjusted odds ratio: 1.42, 95% confidence interval [1.12–1.79]). CONCLUSIONS: In COVID-19 infected patients, high TyG index was associated with increased risk for severe complications. TyG index might be useful predictor for the severity of COVID-19 infection. The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2022-08 2022-06-24 /pmc/articles/PMC9225941/ /pubmed/35779467 http://dx.doi.org/10.1016/j.jiph.2022.06.014 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Chang, Yoonkyung
Jeon, Jimin
Song, Tae-Jin
Kim, Jinkwon
Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
title Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
title_full Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
title_fullStr Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
title_full_unstemmed Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
title_short Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
title_sort association of triglyceride-glucose index with prognosis of covid-19: a population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225941/
https://www.ncbi.nlm.nih.gov/pubmed/35779467
http://dx.doi.org/10.1016/j.jiph.2022.06.014
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