- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1364-8535
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Daily fluctuations in kidney function in critically ill adults ; volume:26 ; number:1 ; day:9 ; month:11 ; year:2022 ; pages:1-3 ; date:12.2022
Critical care ; 26, Heft 1 (9.11.2022), 1-3, 12.2022
- Creator
-
Huang, Chao-Yuan
Güiza, Fabian
De Vlieger, Greet
Meyfroidt, Geert
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13054-022-04226-3
- URN
-
urn:nbn:de:101:1-2023012321123517203633
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Huang, Chao-Yuan
- Güiza, Fabian
- De Vlieger, Greet
- Meyfroidt, Geert
- SpringerLink (Online service)
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Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis
Fluid accumulation, recognition and staging of acute kidney injury in critically-ill patients
Early administration of high protein for critically ill patients with acute kidney injury?
Duration of acute kidney injury in critically ill patients
Continuous kidney replacement therapy in critically ill children: heparin vs citrate
Acute kidney injury risk prediction score for critically-ill surgical patients
Frailty status among older critically ill patients with severe acute kidney injury
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Association between EASIX and acute kidney injury in critically ill cancer patients
Daily urinary urea excretion to guide intermittent hemodialysis weaning in critically ill patients
Body temperature and infection in critically ill patients on continuous kidney replacement therapy
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis
Fluid accumulation, recognition and staging of acute kidney injury in critically-ill patients