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Clinical characteristics and predictors of mortality associated with COVID-19 in elderly patients from a long-term care facility

  1. Trecarichi, Enrico Maria
  2. Mazzitelli, Maria
  3. Serapide, Francesca
  4. Pelle, Maria Chiara
  5. Tassone, Bruno
  6. Arrighi, Eugenio
  7. Perri, Graziella
  8. Fusco, Paolo
  9. Scaglione, Vincenzo
  10. Davoli, Chiara
  11. Lionello, Rosaria
  12. La Gamba, Valentina
  13. Marrazzo, Giuseppina
  14. Busceti, Maria Teresa
  15. Giudice, Amerigo
  16. Ricchio, Marco
  17. Cancelliere, Anna
  18. Lio, Elena
  19. Procopio, Giada
  20. Costanzo, Francesco Saverio
  21. Foti, Daniela Patrizia
  22. Matera, Giovanni
  23. Torti, Carlo
  24. Laganà, Domenico
  25. Petullà, Maria
  26. Bertucci, Bernardo
  27. Quirino, Angela
  28. Barreca, Giorgio Settimo
  29. Giancotti, Aida
  30. Gallo, Luigia
  31. Lamberti, Angelo
  32. Liberto, Maria Carla
  33. Marascio, Nadia
  34. De Francesco, Adele Emanuela
  35. IDTM UMG COVID-19 Group

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1000 Titel
  • Clinical characteristics and predictors of mortality associated with COVID-19 in elderly patients from a long-term care facility
1000 Autor/in
  1. Trecarichi, Enrico Maria |
  2. Mazzitelli, Maria |
  3. Serapide, Francesca |
  4. Pelle, Maria Chiara |
  5. Tassone, Bruno |
  6. Arrighi, Eugenio |
  7. Perri, Graziella |
  8. Fusco, Paolo |
  9. Scaglione, Vincenzo |
  10. Davoli, Chiara |
  11. Lionello, Rosaria |
  12. La Gamba, Valentina |
  13. Marrazzo, Giuseppina |
  14. Busceti, Maria Teresa |
  15. Giudice, Amerigo |
  16. Ricchio, Marco |
  17. Cancelliere, Anna |
  18. Lio, Elena |
  19. Procopio, Giada |
  20. Costanzo, Francesco Saverio |
  21. Foti, Daniela Patrizia |
  22. Matera, Giovanni |
  23. Torti, Carlo |
  24. Laganà, Domenico |
  25. Petullà, Maria |
  26. Bertucci, Bernardo |
  27. Quirino, Angela |
  28. Barreca, Giorgio Settimo |
  29. Giancotti, Aida |
  30. Gallo, Luigia |
  31. Lamberti, Angelo |
  32. Liberto, Maria Carla |
  33. Marascio, Nadia |
  34. De Francesco, Adele Emanuela |
1000 Mitwirkende/r
  1. IDTM UMG COVID-19 Group |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-11-30
1000 Erschienen in
1000 Quellenangabe
  • 10:20834
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41598-020-77641-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705720/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Since December 2019, coronavirus disease 2019 (COVID-19) pandemic has spread from China all over the world and many COVID-19 outbreaks have been reported in long-term care facilities (LCTF). However, data on clinical characteristics and prognostic factors in such settings are scarce. We conducted a retrospective, observational cohort study to assess clinical characteristics and baseline predictors of mortality of COVID-19 patients hospitalized after an outbreak of SARS-CoV-2 infection in a LTCF. A total of 50 patients were included. Mean age was 80 years (SD, 12 years), and 24/50 (57.1%) patients were males. The overall in-hospital mortality rate was 32%. At Cox regression analysis, significant predictors of in-hospital mortality were: hypernatremia (HR 9.12), lymphocyte count < 1000 cells/µL (HR 7.45), cardiovascular diseases other than hypertension (HR 6.41), and higher levels of serum interleukin-6 (IL-6, pg/mL) (HR 1.005). Our study shows a high in-hospital mortality rate in a cohort of elderly patients with COVID-19 and hypernatremia, lymphopenia, CVD other than hypertension, and higher IL-6 serum levels were identified as independent predictors of in-hospital mortality. Given the small population size as major limitation of our study, further investigations are necessary to better understand and confirm our findings in elderly patients.
1000 Sacherschließung
lokal Epidemiology
gnd 1206347392 COVID-19
lokal Infectious diseases
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Erstellt am 2021-02-25T10:39:11.185+0100
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1000 Zuletzt bearbeitet Thu Mar 11 08:14:35 CET 2021
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