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1000 Titel
  • Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19
1000 Autor/in
  1. Ren, Huihui |
  2. Yang, Yan |
  3. Wang, Fen |
  4. Yan, Yongli |
  5. Shi, Xiaoli |
  6. Shi, Xiaoli |
  7. Yu, Xuefeng |
  8. Zhang, Shujun |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-05-11
1000 Erschienen in
1000 Quellenangabe
  • 19(1):58
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12933-020-01035-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213552/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
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1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Mortality
lokal Severity
lokal TyG index
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1000 Erstellt am 2020-05-12T15:58:55.164+0200
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