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1000 Titel
  • All-cause mortality and disease progression in SARS-CoV-2-infected patients with or without antibiotic therapy: an analysis of the LEOSS cohort
1000 Autor/in
  1. Schons, Maximilian J. |
  2. Caliebe, Amke |
  3. Classen, Annika Y. |
  4. Ruethrich, Maria M. |
  5. Nunes de Miranda, Susana M. |
  6. Römmele, Christoph |
  7. Vehreschild, Janne |
  8. Haselberger, Martina |
  9. Friedrichs, Anette K. |
  10. Lanznaster, Julia |
  11. Spinner, Christoph D. |
  12. Ruethrich, Maria Madeleine |
  13. Jensen, Bjoern-Erik |
  14. Hower, Martin |
  15. Rupp, Jan |
  16. Roemmele, Christoph |
  17. Vehreschild, Maria |
  18. Degenhardt, Christian |
  19. Borgmann, Stefan |
  20. Hanses, Frank |
  21. Hellwig, Kerstin |
  22. Dahl, Jürgen vom |
  23. Dolff, Sebastian |
  24. Piepel, Christiane |
  25. Kielstein, Jan |
  26. Nadalin, Silvio |
  27. Neufang, Marc |
  28. Milovanovic, Milena |
  29. Wille, Kai |
  30. Rothfuss, Katja |
  31. Eberwein, Lukas |
  32. Rimili, Wolfgang |
  33. Westhoff, Timm |
  34. Worm, Maximilian |
  35. Beutel, Gernot |
  36. Jung, Norma |
  37. Schubert, Joerg |
  38. Markart, Philipp |
  39. Rueddel, Jessica |
  40. Voigt, Ingo |
  41. Bals, Robert |
  42. Raichle, Claudia |
  43. Vehreschild, Jörg Janne |
  44. Jakob, Carolin E. M. |
  45. Pilgram, Lisa |
  46. Stecher, Melanie |
  47. Schons, Maximilian |
  48. de Miranda, Susana M. Nunes |
  49. Schulze, Nick |
  50. Fuhrmann, Sandra |
  51. Brünn, Clara |
  52. Claßen, Annika |
  53. Franke, Bernd |
  54. Praßer, Fabian |
  55. Lablans, Martin |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-10-08
1000 Erschienen in
1000 Quellenangabe
  • 50(2):423-436
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s15010-021-01699-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500268/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose!#!Reported antibiotic use in coronavirus disease 2019 (COVID-19) is far higher than the actual rate of reported bacterial co- and superinfection. A better understanding of antibiotic therapy in COVID-19 is necessary.!##!Methods!#!6457 SARS-CoV-2-infected cases, documented from March 18, 2020, until February 16, 2021, in the LEOSS cohort were analyzed. As primary endpoint, the correlation between any antibiotic treatment and all-cause mortality/progression to the next more advanced phase of disease was calculated for adult patients in the complicated phase of disease and procalcitonin (PCT) ≤ 0.5 ng/ml. The analysis took the confounders gender, age, and comorbidities into account.!##!Results!#!Three thousand, six hundred twenty-seven cases matched all inclusion criteria for analyses. For the primary endpoint, antibiotic treatment was not correlated with lower all-cause mortality or progression to the next more advanced (critical) phase (n = 996) (both p > 0.05). For the secondary endpoints, patients in the uncomplicated phase (n = 1195), regardless of PCT level, had no lower all-cause mortality and did not progress less to the next more advanced (complicated) phase when treated with antibiotics (p > 0.05). Patients in the complicated phase with PCT > 0.5 ng/ml and antibiotic treatment (n = 286) had a significantly increased all-cause mortality (p = 0.029) but no significantly different probability of progression to the critical phase (p > 0.05).!##!Conclusion!#!In this cohort, antibiotics in SARS-CoV-2-infected patients were not associated with positive effects on all-cause mortality or disease progression. Additional studies are needed. Advice of local antibiotic stewardship- (ABS-) teams and local educational campaigns should be sought to improve rational antibiotic use in COVID-19 patients.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Disease Progression [MeSH]
lokal COVID-19/drug therapy [MeSH]
lokal Anti-Bacterial Agents/therapeutic use [MeSH]
lokal LEOSS
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Procalcitonin
lokal COVID-19
lokal Antimicrobial Stewardship [MeSH]
lokal COVID-19 / SARS-CoV-2
lokal Antibiotic stewardship
lokal Original Paper
lokal Antibiotics
lokal SARS-CoV-2 [MeSH]
1000 Liste der Beteiligten
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