Pre-existing traits associated with Covid-19 illness severity

  1. Ebinger, Joseph E.
  2. Achamallah, Natalie
  3. Ji, Hongwei
  4. Claggett, Brian L.
  5. Sun, Nancy
  6. Botting, Patrick
  7. Nguyen, Trevor-Trung
  8. Luong, Eric
  9. Kim, Elizabeth H.
  10. Park, Eunice
  11. Liu, Yunxian
  12. Rosenberry, Ryan
  13. Matusov, Yuri
  14. Zhao, Steven
  15. Pedraza, Isabel
  16. Zaman, Tanzira
  17. Thompson, Michael
  18. Raedschelders, Koen ORCID logo
  19. Berg, Anders H.
  20. Grein, Jonathan D.
  21. Noble, Paul W.
  22. Chugh, Sumeet S.
  23. Bairey Merz, C. Noel
  24. Marbán, Eduardo
  25. Van Eyk, Jennifer E.
  26. Solomon, Scott D.
  27. Albert, Christine M.
  28. Chen, Peter
  29. Cheng, Susan ORCID logo

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WeightNameValue
1000 Titel
  • Pre-existing traits associated with Covid-19 illness severity
1000 Autor/in
  1. Ebinger, Joseph E. |
  2. Achamallah, Natalie |
  3. Ji, Hongwei |
  4. Claggett, Brian L. |
  5. Sun, Nancy |
  6. Botting, Patrick |
  7. Nguyen, Trevor-Trung |
  8. Luong, Eric |
  9. Kim, Elizabeth H. |
  10. Park, Eunice |
  11. Liu, Yunxian |
  12. Rosenberry, Ryan |
  13. Matusov, Yuri |
  14. Zhao, Steven |
  15. Pedraza, Isabel |
  16. Zaman, Tanzira |
  17. Thompson, Michael |
  18. Raedschelders, Koen |
  19. Berg, Anders H. |
  20. Grein, Jonathan D. |
  21. Noble, Paul W. |
  22. Chugh, Sumeet S. |
  23. Bairey Merz, C. Noel |
  24. Marbán, Eduardo |
  25. Van Eyk, Jennifer E. |
  26. Solomon, Scott D. |
  27. Albert, Christine M. |
  28. Chen, Peter |
  29. Cheng, Susan |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-23
1000 Erschienen in
1000 Quellenangabe
  • 15(7):e0236240
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0236240 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377468/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236240#sec015 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • IMPORTANCE: Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. OBJECTIVE: To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. DESIGN: Retrospective observational study. We curated data from the electronic health record, and used multivariable logistic regression to examine the association of pre-existing traits with a Covid-19 illness severity defined by level of required care: need for hospital admission, need for intensive care, and need for intubation. SETTING: A large, multihospital healthcare system in Southern California. PARTICIPANTS: All patients with confirmed Covid-19 infection (N = 442) RESULTS: Of all patients studied, 48% required hospitalization, 17% required intensive care, and 12% required intubation. In multivariable-adjusted analyses, patients requiring a higher levels of care were more likely to be older (OR 1.5 per 10 years, P<0.001), male (OR 2.0, P = 0.001), African American (OR 2.1, P = 0.011), obese (OR 2.0, P = 0.021), with diabetes mellitus (OR 1.8, P = 0.037), and with a higher comorbidity index (OR 1.8 per SD, P<0.001). Several clinical associations were more pronounced in younger compared to older patients (Pinteraction<0.05). Of all hospitalized patients, males required higher levels of care (OR 2.5, P = 0.003) irrespective of age, race, or morbidity profile.
1000 Sacherschließung
lokal Obesity
gnd 1206347392 COVID-19
lokal Hospitals
lokal Medical risk factors
lokal Diabetes mellitus
lokal Virus testing
lokal African American people
lokal Intubation
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
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  1. Erika J. Glazer Family Foundation |
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  1. Pre-existing traits associated with Covid-19 illness severity
    Pre-existing traits associated with Covid-19 illness severity
1000 Förderung
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    1000 Förderer Erika J. Glazer Family Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6422439.rdf
1000 Erstellt am 2020-08-10T14:30:00.754+0200
1000 Erstellt von 122
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-08-10T14:34:23.003+0200
1000 Objekt bearb. Mon Aug 10 14:32:54 CEST 2020
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