Cited 22 times in
Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study
DC Field | Value | Language |
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dc.contributor.author | 김진권 | - |
dc.date.accessioned | 2022-08-23T00:20:29Z | - |
dc.date.available | 2022-08-23T00:20:29Z | - |
dc.date.issued | 2022-08 | - |
dc.identifier.issn | 1876-0341 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/189382 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.relation.isPartOf | JOURNAL OF INFECTION AND PUBLIC HEALTH | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Biomarkers | - |
dc.subject.MESH | Blood Glucose | - |
dc.subject.MESH | COVID-19* | - |
dc.subject.MESH | Glucose | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Insulin Resistance* | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Risk Assessment | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Triglycerides | - |
dc.title | Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurology (신경과학교실) | - |
dc.contributor.googleauthor | Yoonkyung Chang | - |
dc.contributor.googleauthor | Jimin Jeon | - |
dc.contributor.googleauthor | Tae-Jin Song | - |
dc.contributor.googleauthor | Jinkwon Kim | - |
dc.identifier.doi | 10.1016/j.jiph.2022.06.014 | - |
dc.contributor.localId | A01012 | - |
dc.relation.journalcode | J04249 | - |
dc.identifier.eissn | 1876-035X | - |
dc.identifier.pmid | 35779467 | - |
dc.subject.keyword | COVID-19 | - |
dc.subject.keyword | Glucose | - |
dc.subject.keyword | Insulin resistance | - |
dc.subject.keyword | Triglyceride-glucose index | - |
dc.contributor.alternativeName | Kim, Jin Kwon | - |
dc.contributor.affiliatedAuthor | 김진권 | - |
dc.citation.volume | 15 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 837 | - |
dc.citation.endPage | 844 | - |
dc.identifier.bibliographicCitation | JOURNAL OF INFECTION AND PUBLIC HEALTH, Vol.15(8) : 837-844, 2022-08 | - |
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