Acute kidney injury in the critically ill : an updated review on pathophysiology and management
© 2021. The Author(s)..
Acute kidney injury (AKI) is now recognized as a heterogeneous syndrome that not only affects acute morbidity and mortality, but also a patient's long-term prognosis. In this narrative review, an update on various aspects of AKI in critically ill patients will be provided. Focus will be on prediction and early detection of AKI (e.g., the role of biomarkers to identify high-risk patients and the use of machine learning to predict AKI), aspects of pathophysiology and progress in the recognition of different phenotypes of AKI, as well as an update on nephrotoxicity and organ cross-talk. In addition, prevention of AKI (focusing on fluid management, kidney perfusion pressure, and the choice of vasopressor) and supportive treatment of AKI is discussed. Finally, post-AKI risk of long-term sequelae including incident or progression of chronic kidney disease, cardiovascular events and mortality, will be addressed.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:47 |
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| Enthalten in: |
Intensive care medicine - 47(2021), 8 vom: 05. Aug., Seite 835-850 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Pickkers, Peter [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 09.08.2021 Date Revised 09.08.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s00134-021-06454-7 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM327602783 |
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| 500 | |a Date Revised 09.08.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s). | ||
| 520 | |a Acute kidney injury (AKI) is now recognized as a heterogeneous syndrome that not only affects acute morbidity and mortality, but also a patient's long-term prognosis. In this narrative review, an update on various aspects of AKI in critically ill patients will be provided. Focus will be on prediction and early detection of AKI (e.g., the role of biomarkers to identify high-risk patients and the use of machine learning to predict AKI), aspects of pathophysiology and progress in the recognition of different phenotypes of AKI, as well as an update on nephrotoxicity and organ cross-talk. In addition, prevention of AKI (focusing on fluid management, kidney perfusion pressure, and the choice of vasopressor) and supportive treatment of AKI is discussed. Finally, post-AKI risk of long-term sequelae including incident or progression of chronic kidney disease, cardiovascular events and mortality, will be addressed | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a Acute kidney injury | |
| 650 | 4 | |a Biomarkers | |
| 650 | 4 | |a Blood pressure management | |
| 650 | 4 | |a Diagnosis | |
| 650 | 4 | |a Fluid therapy | |
| 650 | 4 | |a Heterogeneity | |
| 650 | 4 | |a Long-term consequences | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Nephrotoxicity | |
| 650 | 4 | |a Organ cross-talk | |
| 650 | 4 | |a Pathophysiology | |
| 650 | 4 | |a Phenotypes | |
| 650 | 4 | |a Vasopressor | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 700 | 1 | |a Darmon, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Hoste, Eric |e verfasserin |4 aut | |
| 700 | 1 | |a Joannidis, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Legrand, Matthieu |e verfasserin |4 aut | |
| 700 | 1 | |a Ostermann, Marlies |e verfasserin |4 aut | |
| 700 | 1 | |a Prowle, John R |e verfasserin |4 aut | |
| 700 | 1 | |a Schneider, Antoine |e verfasserin |4 aut | |
| 700 | 1 | |a Schetz, Miet |e verfasserin |4 aut | |
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