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

Authors
 Yoonkyung Chang  ;  Jimin Jeon  ;  Tae-Jin Song  ;  Jinkwon Kim 
Citation
 JOURNAL OF INFECTION AND PUBLIC HEALTH, Vol.15(8) : 837-844, 2022-08 
Journal Title
JOURNAL OF INFECTION AND PUBLIC HEALTH
ISSN
 1876-0341 
Issue Date
2022-08
MeSH
Biomarkers ; Blood Glucose ; COVID-19* ; Glucose ; Humans ; Insulin Resistance* ; Prognosis ; Risk Assessment ; Risk Factors ; Triglycerides
Keywords
COVID-19 ; Glucose ; Insulin resistance ; Triglyceride-glucose index
Abstract
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.
Files in This Item:
T202202348.pdf Download
DOI
10.1016/j.jiph.2022.06.014
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jinkwon(김진권) ORCID logo https://orcid.org/0000-0003-0156-9736
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/189382
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