Nephrotoxic drug burden among 1001 critically ill patients: impact on acute kidney injury
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2110-5820
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Nephrotoxic drug burden among 1001 critically ill patients: impact on acute kidney injury ; volume:9 ; number:1 ; day:23 ; month:9 ; year:2019 ; pages:1-9 ; date:12.2019
Annals of intensive care ; 9, Heft 1 (23.9.2019), 1-9, 12.2019
- Creator
-
Ehrmann, Stephan
Helms, Julie
Joret, Aurélie
Martin-Lefevre, Laurent
Quenot, Jean-Pierre
Herbrecht, Jean-Etienne
Benzekri-Lefevre, Dalila
Robert, René
Desachy, Arnaud
Bellec, Fréderic
Plantefeve, Gaëtan
Bretagnol, Anne
Dargent, Auguste
Lacherade, Jean-Claude
Meziani, Ferhat
Giraudeau, Bruno
Tavernier, Elsa
Dequin, Pierre-François
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13613-019-0580-1
- URN
-
urn:nbn:de:101:1-2020020218310758181147
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:03 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
- Ehrmann, Stephan
- Helms, Julie
- Joret, Aurélie
- Martin-Lefevre, Laurent
- Quenot, Jean-Pierre
- Herbrecht, Jean-Etienne
- Benzekri-Lefevre, Dalila
- Robert, René
- Desachy, Arnaud
- Bellec, Fréderic
- Plantefeve, Gaëtan
- Bretagnol, Anne
- Dargent, Auguste
- Lacherade, Jean-Claude
- Meziani, Ferhat
- Giraudeau, Bruno
- Tavernier, Elsa
- Dequin, Pierre-François
- SpringerLink (Online service)
Other Objects (12)
Burden of acute kidney injury and 90-day mortality in critically ill patients
Duration of acute kidney injury in critically ill patients
Acute kidney injury risk prediction score for critically-ill surgical patients
Frailty status among older critically ill patients with severe acute kidney injury
Association between EASIX and acute kidney injury in critically ill cancer patients
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
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?
The clinical utility window for acute kidney injury biomarkers in the critically ill
Interpretable machine learning model for predicting acute kidney injury in critically ill patients
Burden of acute kidney injury and 90-day mortality in critically ill patients
Duration of acute kidney injury in critically ill patients
Acute kidney injury risk prediction score for critically-ill surgical patients
Frailty status among older critically ill patients with severe acute kidney injury
Association between EASIX and acute kidney injury in critically ill cancer patients
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
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?
The clinical utility window for acute kidney injury biomarkers in the critically ill
Interpretable machine learning model for predicting acute kidney injury in critically ill patients
Burden of acute kidney injury and 90-day mortality in critically ill patients
Duration of acute kidney injury in critically ill patients
Acute kidney injury risk prediction score for critically-ill surgical patients
Frailty status among older critically ill patients with severe acute kidney injury
Association between EASIX and acute kidney injury in critically ill cancer patients
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
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?
The clinical utility window for acute kidney injury biomarkers in the critically ill