Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 송태진 | * |
dc.contributor.author | 장윤경 | * |
dc.date.accessioned | 2022-08-02T16:30:39Z | - |
dc.date.available | 2022-08-02T16:30:39Z | - |
dc.date.issued | 2022 | * |
dc.identifier.issn | 1876-0341 | * |
dc.identifier.issn | 1876-035X | * |
dc.identifier.other | OAK-31834 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/261638 | - |
dc.description.abstract | Background: Triglyceride-glucose (TyG) index is a simple and reliable surrogate marker for insulin re-sistance. 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) x 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 (7.4 4%) patients. In the multivariate logistic regression, TyG index was positively asso-ciated 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.(c) 2022 Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. CC_BY_NC_ND_4.0 | * |
dc.language | English | * |
dc.publisher | ELSEVIER SCIENCE LONDON | * |
dc.subject | COVID-19 | * |
dc.subject | Insulin resistance | * |
dc.subject | Triglyceride-glucose index | * |
dc.subject | Glucose | * |
dc.title | Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study | * |
dc.type | Article | * |
dc.relation.issue | 8 | * |
dc.relation.volume | 15 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 837 | * |
dc.relation.lastpage | 844 | * |
dc.relation.journaltitle | JOURNAL OF INFECTION AND PUBLIC HEALTH | * |
dc.identifier.doi | 10.1016/j.jiph.2022.06.014 | * |
dc.identifier.wosid | WOS:000822548400001 | * |
dc.identifier.scopusid | 2-s2.0-85133264182 | * |
dc.author.google | Chang, Yoonkyung | * |
dc.author.google | Jeon, Jimin | * |
dc.author.google | Song, Tae-Jin | * |
dc.author.google | Kim, Jinkwon | * |
dc.contributor.scopusid | 송태진(55507164200) | * |
dc.contributor.scopusid | 장윤경(56525550900) | * |
dc.date.modifydate | 20240315140840 | * |