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Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease
by
Hohenstein Bernd
, Piepel Christiane
, Isberner Nora
, Neufang, Mark
, Weidemann, Alexander
, Classen Annika
, Dolff Sebastian
, Tometten Lukas
, Borgmann, Stefan
, Prasser Fabian
, Keller, Ulrich
, Rueddel Jessica
, Ritter, Annika
, Lanznaster Julia
, Wettstein Matthias
, Kielstein, Jan T
, Roman-Ulrich, Müller
, Eberwein Lukas
, Rothfuss Katja
, Brandenburger Timo
, Guggemos Wolfgang
, Rieg Siegbert
, Droehmann, Daniel
, Schubert Joerg
, Gruener Beate
, Peetz Helga
, Stecher, Melanie
, Stieglitz Sven
, Worm Maximilian
, Heigener, David
, Burst Volker
, Merle Uta
, Vehreschild, Joerg Janne
, Franke, Bernd
, Pilgram, Lisa
, Rüthrich, Maria
, Vehreschild, Maria
, Mueller-Joerger, Gabriele
, Fuhrmann, Sandra
, Bethge, Wolfgang
, Lorenz, Walter
, Fuerst, Julia
, von Bergwelt-Baildon Michael
, Schulze, Nick
, Bals, Robert
, Lablans, Martin
, Hanses, Frank
, Degenhardt, Christian
, Hower, Martin
, Hellwig Kerstin
, de With Katja
, Schultheis Beate
, Beutel Gernot
, Spinner, Christoph
, Koehler, Felix C
, Nattermann Jacob
, Wille Kai
, Raichle, Claudia
, Rauschning Dominic
, Jung, Norma
, Prattes Juergen
, Trauth Janina
, Ruethrich, Maria
, Friedrichs Anette
, Schons Maximilian
, Ja
in
Anemia
/ C-reactive protein
/ Chi-square test
/ Chronic infection
/ Comparative analysis
/ Coronaviruses
/ COVID-19
/ Immune system
/ Kidney diseases
/ Kidneys
/ L-Lactate dehydrogenase
/ Lactate dehydrogenase
/ Lactic acid
/ Mortality
/ Pandemics
/ Parameter identification
/ Patients
/ Risk analysis
/ Risk factors
/ Severe acute respiratory syndrome coronavirus 2
/ Statistical tests
/ Thrombocytopenia
/ Viral diseases
2021
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Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease
by
Hohenstein Bernd
, Piepel Christiane
, Isberner Nora
, Neufang, Mark
, Weidemann, Alexander
, Classen Annika
, Dolff Sebastian
, Tometten Lukas
, Borgmann, Stefan
, Prasser Fabian
, Keller, Ulrich
, Rueddel Jessica
, Ritter, Annika
, Lanznaster Julia
, Wettstein Matthias
, Kielstein, Jan T
, Roman-Ulrich, Müller
, Eberwein Lukas
, Rothfuss Katja
, Brandenburger Timo
, Guggemos Wolfgang
, Rieg Siegbert
, Droehmann, Daniel
, Schubert Joerg
, Gruener Beate
, Peetz Helga
, Stecher, Melanie
, Stieglitz Sven
, Worm Maximilian
, Heigener, David
, Burst Volker
, Merle Uta
, Vehreschild, Joerg Janne
, Franke, Bernd
, Pilgram, Lisa
, Rüthrich, Maria
, Vehreschild, Maria
, Mueller-Joerger, Gabriele
, Fuhrmann, Sandra
, Bethge, Wolfgang
, Lorenz, Walter
, Fuerst, Julia
, von Bergwelt-Baildon Michael
, Schulze, Nick
, Bals, Robert
, Lablans, Martin
, Hanses, Frank
, Degenhardt, Christian
, Hower, Martin
, Hellwig Kerstin
, de With Katja
, Schultheis Beate
, Beutel Gernot
, Spinner, Christoph
, Koehler, Felix C
, Nattermann Jacob
, Wille Kai
, Raichle, Claudia
, Rauschning Dominic
, Jung, Norma
, Prattes Juergen
, Trauth Janina
, Ruethrich, Maria
, Friedrichs Anette
, Schons Maximilian
, Ja
in
Anemia
/ C-reactive protein
/ Chi-square test
/ Chronic infection
/ Comparative analysis
/ Coronaviruses
/ COVID-19
/ Immune system
/ Kidney diseases
/ Kidneys
/ L-Lactate dehydrogenase
/ Lactate dehydrogenase
/ Lactic acid
/ Mortality
/ Pandemics
/ Parameter identification
/ Patients
/ Risk analysis
/ Risk factors
/ Severe acute respiratory syndrome coronavirus 2
/ Statistical tests
/ Thrombocytopenia
/ Viral diseases
2021
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Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease
by
Hohenstein Bernd
, Piepel Christiane
, Isberner Nora
, Neufang, Mark
, Weidemann, Alexander
, Classen Annika
, Dolff Sebastian
, Tometten Lukas
, Borgmann, Stefan
, Prasser Fabian
, Keller, Ulrich
, Rueddel Jessica
, Ritter, Annika
, Lanznaster Julia
, Wettstein Matthias
, Kielstein, Jan T
, Roman-Ulrich, Müller
, Eberwein Lukas
, Rothfuss Katja
, Brandenburger Timo
, Guggemos Wolfgang
, Rieg Siegbert
, Droehmann, Daniel
, Schubert Joerg
, Gruener Beate
, Peetz Helga
, Stecher, Melanie
, Stieglitz Sven
, Worm Maximilian
, Heigener, David
, Burst Volker
, Merle Uta
, Vehreschild, Joerg Janne
, Franke, Bernd
, Pilgram, Lisa
, Rüthrich, Maria
, Vehreschild, Maria
, Mueller-Joerger, Gabriele
, Fuhrmann, Sandra
, Bethge, Wolfgang
, Lorenz, Walter
, Fuerst, Julia
, von Bergwelt-Baildon Michael
, Schulze, Nick
, Bals, Robert
, Lablans, Martin
, Hanses, Frank
, Degenhardt, Christian
, Hower, Martin
, Hellwig Kerstin
, de With Katja
, Schultheis Beate
, Beutel Gernot
, Spinner, Christoph
, Koehler, Felix C
, Nattermann Jacob
, Wille Kai
, Raichle, Claudia
, Rauschning Dominic
, Jung, Norma
, Prattes Juergen
, Trauth Janina
, Ruethrich, Maria
, Friedrichs Anette
, Schons Maximilian
, Ja
in
Anemia
/ C-reactive protein
/ Chi-square test
/ Chronic infection
/ Comparative analysis
/ Coronaviruses
/ COVID-19
/ Immune system
/ Kidney diseases
/ Kidneys
/ L-Lactate dehydrogenase
/ Lactate dehydrogenase
/ Lactic acid
/ Mortality
/ Pandemics
/ Parameter identification
/ Patients
/ Risk analysis
/ Risk factors
/ Severe acute respiratory syndrome coronavirus 2
/ Statistical tests
/ Thrombocytopenia
/ Viral diseases
2021
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Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease
Journal Article
Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease
2021
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Overview
PurposeThe 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.MethodsWe 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.ResultsComparative 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).ConclusionThe 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.
Publisher
Springer Nature B.V
Subject
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