Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease

  1. Pilgram, Lisa
  2. Koehler, Felix C.
  3. Stecher, Melanie
  4. Kielstein, Jan T.
  5. Jakob, Carolin E. M.
  6. Rüthrich, Maria
  7. Burst, Volker
  8. Prasser, Fabian
  9. Müller, Roman-Ulrich
  10. Lanznaster, Julia
  11. Tometten, Lukas
  12. Wille, Kai
  13. Rieg, Siegbert
  14. Borgmann, Stefan
  15. Wettstein, Matthias
  16. Isberner, Nora
  17. Ruethrich, Maria
  18. Spinner, Christoph
  19. Raichle, Claudia
  20. Neufang, Mark
  21. Hanses, Frank
  22. Hohenstein, Bernd
  23. Stieglitz, Sven
  24. Jung, Norma
  25. Bals, Robert
  26. Dolff, Sebastian ORCID logo
  27. Schubert, Joerg
  28. Worm, Maximilian
  29. Degenhardt, Christian
  30. Brandenburger, Timo
  31. Fuerst, Julia
  32. Vehreschild, Maria
  33. Keller, Ulrich
  34. Hower, Martin
  35. von Bergwelt-Baildon, Michael
  36. Rueddel, Jessica
  37. de With, Katja
  38. Gruener, Beate
  39. Eberwein, Lukas
  40. Schultheis, Beate
  41. Heigener, David
  42. Guggemos, Wolfgang
  43. Peetz, Helga
  44. Walter, Lorenz
  45. Prattes, Juergen
  46. Rothfuss, Katja
  47. Hellwig, Kerstin
  48. Nattermann, Jacob
  49. Merle, Uta
  50. Droehmann, Daniel
  51. Rauschning, Dominic
  52. Mueller-Joerger, Gabriele
  53. Weidemann, Alexander
  54. Piepel, Christiane
  55. Ritter, Annika
  56. Beutel, Gernot
  57. Trauth, Janina
  58. Friedrichs, Anette
  59. Bethge, Wolfgang
  60. Vehreschild, Joerg Janne
  61. Pilgram, Lisa
  62. Stecher, Melanie
  63. Schons, Maximilian
  64. Jakob, Carolin E. M.
  65. Classen, Annika
  66. Fuhrmann, Sandra
  67. Franke, Bernd
  68. Schulze, Nick
  69. Prasser, Fabian
  70. Lablans, Martin

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1000 Titel
  • Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease
1000 Autor/in
  1. Pilgram, Lisa |
  2. Koehler, Felix C. |
  3. Stecher, Melanie |
  4. Kielstein, Jan T. |
  5. Jakob, Carolin E. M. |
  6. Rüthrich, Maria |
  7. Burst, Volker |
  8. Prasser, Fabian |
  9. Müller, Roman-Ulrich |
  10. Lanznaster, Julia |
  11. Tometten, Lukas |
  12. Wille, Kai |
  13. Rieg, Siegbert |
  14. Borgmann, Stefan |
  15. Wettstein, Matthias |
  16. Isberner, Nora |
  17. Ruethrich, Maria |
  18. Spinner, Christoph |
  19. Raichle, Claudia |
  20. Neufang, Mark |
  21. Hanses, Frank |
  22. Hohenstein, Bernd |
  23. Stieglitz, Sven |
  24. Jung, Norma |
  25. Bals, Robert |
  26. Dolff, Sebastian |
  27. Schubert, Joerg |
  28. Worm, Maximilian |
  29. Degenhardt, Christian |
  30. Brandenburger, Timo |
  31. Fuerst, Julia |
  32. Vehreschild, Maria |
  33. Keller, Ulrich |
  34. Hower, Martin |
  35. von Bergwelt-Baildon, Michael |
  36. Rueddel, Jessica |
  37. de With, Katja |
  38. Gruener, Beate |
  39. Eberwein, Lukas |
  40. Schultheis, Beate |
  41. Heigener, David |
  42. Guggemos, Wolfgang |
  43. Peetz, Helga |
  44. Walter, Lorenz |
  45. Prattes, Juergen |
  46. Rothfuss, Katja |
  47. Hellwig, Kerstin |
  48. Nattermann, Jacob |
  49. Merle, Uta |
  50. Droehmann, Daniel |
  51. Rauschning, Dominic |
  52. Mueller-Joerger, Gabriele |
  53. Weidemann, Alexander |
  54. Piepel, Christiane |
  55. Ritter, Annika |
  56. Beutel, Gernot |
  57. Trauth, Janina |
  58. Friedrichs, Anette |
  59. Bethge, Wolfgang |
  60. Vehreschild, Joerg Janne |
  61. Pilgram, Lisa |
  62. Stecher, Melanie |
  63. Schons, Maximilian |
  64. Jakob, Carolin E. M. |
  65. Classen, Annika |
  66. Fuhrmann, Sandra |
  67. Franke, Bernd |
  68. Schulze, Nick |
  69. Prasser, Fabian |
  70. Lablans, Martin |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-04-13
1000 Erschienen in
1000 Quellenangabe
  • 49(4):725-737
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s15010-021-01597-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043429/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose!#!The ongoing pandemic caused by the novel severe acute respiratory coronavirus 2 (SARS-CoV-2) has stressed health systems worldwide. Patients with chronic kidney disease (CKD) seem to be more prone to a severe course of coronavirus disease (COVID-19) due to comorbidities and an altered immune system. The study's aim was to identify factors predicting mortality among SARS-CoV-2-infected patients with CKD.!##!Methods!#!We analyzed 2817 SARS-CoV-2-infected patients enrolled in the Lean European Open Survey on SARS-CoV-2-infected patients and identified 426 patients with pre-existing CKD. Group comparisons were performed via Chi-squared test. Using univariate and multivariable logistic regression, predictive factors for mortality were identified.!##!Results!#!Comparative analyses to patients without CKD revealed a higher mortality (140/426, 32.9% versus 354/2391, 14.8%). Higher age could be confirmed as a demographic predictor for mortality in CKD patients (> 85 years compared to 15-65 years, adjusted odds ratio (aOR) 6.49, 95% CI 1.27-33.20, p = 0.025). We further identified markedly elevated lactate dehydrogenase (> 2 × upper limit of normal, aOR 23.21, 95% CI 3.66-147.11, p < 0.001), thrombocytopenia (< 120,000/µl, aOR 11.66, 95% CI 2.49-54.70, p = 0.002), anemia (Hb < 10 g/dl, aOR 3.21, 95% CI 1.17-8.82, p = 0.024), and C-reactive protein (≥ 30 mg/l, aOR 3.44, 95% CI 1.13-10.45, p = 0.029) as predictors, while renal replacement therapy was not related to mortality (aOR 1.15, 95% CI 0.68-1.93, p = 0.611).!##!Conclusion!#!The identified predictors include routinely measured and universally available parameters. Their assessment might facilitate risk stratification in this highly vulnerable cohort as early as at initial medical evaluation for SARS-CoV-2.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Adolescent [MeSH]
lokal Aged, 80 and over [MeSH]
lokal LEOSS
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Logistic Models [MeSH]
lokal Middle Aged [MeSH]
lokal Risk Factors [MeSH]
lokal COVID-19
lokal COVID-19/complications [MeSH]
lokal COVID-19 / SARS-CoV-2
lokal Renal Insufficiency, Chronic/complications [MeSH]
lokal Cohort Studies [MeSH]
lokal Predictive factor
lokal COVID-19/mortality [MeSH]
lokal Original Paper
lokal Young Adult [MeSH]
lokal Comorbidity [MeSH]
lokal Chronic kidney disease
lokal Renal Insufficiency, Chronic/immunology [MeSH]
lokal SARS-CoV-2 [MeSH]
lokal SARS-CoV-2
1000 Liste der Beteiligten
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1000 Erstellt am 2023-04-27T11:52:21.749+0200
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1000 Zuletzt bearbeitet 2023-10-20T11:56:33.172+0200
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