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Predictors of Worsening Oxygenation in COVID-19

  • Oh, Jee Youn (Division of Pulmonary Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital)
  • Received : 2021.02.26
  • Accepted : 2021.03.10
  • Published : 2021.07.31

Abstract

Keywords

References

  1. Gates B. Responding to COVID-19: a once-in-a-century pandemic? N Engl J Med 2020;382:1677-9. https://doi.org/10.1056/NEJMp2003762
  2. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review. JAMA 2020;324:782-93. https://doi.org/10.1001/jama.2020.12839
  3. Truog RD, Mitchell C, Daley GQ. The toughest triage: allocating ventilators in a pandemic. N Engl J Med 2020;382:1973-5. https://doi.org/10.1056/NEJMp2005689
  4. Choi KJ, Hong HL, Kim EJ. The association between mortality and the oxygen saturation and fraction of inhaled oxygen in patients requiring oxygen therapy due to COVID-19-associated pneumonia. Tuberc Respir Dis 2021;84:125-33. https://doi.org/10.4046/trd.2020.0126
  5. Hahm CR, Lee YK, Oh DH, Ahn MY, Choi JP, Kang NR, et al. Factors associated with worsening oxygenation in patient with non-severe COVID-19 pneumonia. Tuberc Respir Dis 2021;84:115-24. https://doi.org/10.4046/trd.2020.0139
  6. Knight SR, Ho A, Pius R, Buchan I, Carson G, Drake TM, et al. Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score. BMJ 2020;370:m3339.
  7. Sinha P, Matthay MA, Calfee CS. Is a "cytokine storm" relevant to COVID-19? JAMA Intern Med 2020;180:1152-4. https://doi.org/10.1001/jamainternmed.2020.3313
  8. Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of COVID-19 infection: systematic review and critical appraisal. BMJ 2020;369:m1328.
  9. Gu SX, Tyagi T, Jain K, Gu VW, Lee SH, Hwa JM, et al. Thrombocytopathy and endotheliopathy: crucial contributors to COVID-19 thromboinflammation. Nat Rev Cardiol 2021;18:194-209. https://doi.org/10.1038/s41569-020-00469-1
  10. Cortes-Telles A, Lopez-Romero S, Mancilla-Ceballos R, Ortiz-Farias DL, Nunez-Caamal N, Figueroa-Hurtado E. Risk factors for mortality in hospitalized patients with COVID-19: an overview in a Mexican population. Tuberc Respir Dis 2020; 83(Suppl 1):S46-54. https://doi.org/10.4046/trd.2020.0095
  11. Lassau N, Ammari S, Chouzenoux E, Gortais H, Herent P, Devilder M, et al. Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients. Nat Commun 2021;12:634. https://doi.org/10.1038/s41467-020-20657-4
  12. Zhang K, Liu X, Shen J, Li Z, Sang Y, Wu X, et al. Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography. Cell 2020;181:1423-33. https://doi.org/10.1016/j.cell.2020.04.045
  13. Wang M, Xia C, Huang L, Xu S, Qin C, Liu J, et al. Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation. Lancet Digit Health 2020;2:e506-15. https://doi.org/10.1016/S2589-7500(20)30199-0
  14. Gheblawi M, Wang K, Viveiros A, Nguyen Q, Zhong JC, Turner AJ, et al. Angiotensin-converting enzyme 2: SARS-CoV-2 receptor and regulator of the renin-angiotensin system: celebrating the 20th Anniversary of the Discovery of ACE2. Circ Res 2020;126:1456-74. https://doi.org/10.1161/CIRCRESAHA.120.317015
  15. McInnes MD, Leeflang MM, Salameh JP, McGrath TA, van der Pol CB, Frank RA, et al. Imaging tests for the diagnosis of COVID-19. Cochrane Database Syst Rev 2020 Jun 2 [Epub]. https://doi.org/10.1002/14651858.CD013639.
  16. Feng Z, Yu Q, Yao S, Luo L, Zhou W, Mao X, et al. Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics. Nat Commun 2020;11:4968. https://doi.org/10.1038/s41467-020-18786-x
  17. Mesas AE, Cavero-Redondo I, Alvarez-Bueno C, Sarria Cabrera MA, Maffei de Andrade S, Sequi-Dominguez I, et al. Predictors of in-hospital COVID-19 mortality: a comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions. PLoS One 2020;15:e0241742. https://doi.org/10.1371/journal.pone.0241742
  18. Yang Y, Kim H, Hwang J. Quarantine facility for patients with COVID-19 with mild symptoms in Korea: experience from eighteen residential treatment centers. J Korean Med Sci 2020;35:e429. https://doi.org/10.3346/jkms.2020.35.e429

Cited by

  1. Predictors of Worsening COVID-19 Illness vol.84, pp.3, 2021, https://doi.org/10.4046/trd.2021.0040