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Erschienen in: Intensive Care Medicine 6/2017

20.02.2017 | Editorial

Predictions are difficult…especially about AKI

verfasst von: Michael Darmon, Marlies Ostermann, Michael Joannidis

Erschienen in: Intensive Care Medicine | Ausgabe 6/2017

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Excerpt

Acute kidney injury (AKI) has been recognised as a major public health problem. Identifying patients at high risk of AKI and diagnosing AKI early are major goals worldwide. The definition of AKI is based on oliguria and elevated serum creatinine levels, two functional markers that are notoriously imperfect [1, 2]. Oliguria is neither sensitive nor specific [1, 3]. It can occur as result of renal injury but may also simply reflect an adaptive physiological response to both intracellular dehydration and hypovolemia [1]. Indeed, only a small proportion of patients in the intensive care unit (ICU) with oliguria have a sustained drop in glomerular filtration rate that leads to a rise in serum creatinine [1]. Serum creatinine is a late marker of renal function. Even when looking at a small rise in serum creatinine of 0.3 mg/dl, which would classify as AKI stage 1 according to current Kidney Disease/Improving Global Outcomes (KDIGO) criteria, acute deterioration in renal function may not be noticeable for >24 h, especially in critically ill patients with fluid accumulation and reduced creatinine generation [4]. These limitations and delays in diagnosis may explain why results from various intervention trials were negative and therapies for AKI are still lacking [5]. …
Literatur
1.
Zurück zum Zitat Prowle JR, Liu Y-L, Licari E et al (2011) Oliguria as predictive biomarker of acute kidney injury in critically ill patients. Crit Care Lond Engl 15:R172. doi:10.1186/cc10318 CrossRef Prowle JR, Liu Y-L, Licari E et al (2011) Oliguria as predictive biomarker of acute kidney injury in critically ill patients. Crit Care Lond Engl 15:R172. doi:10.​1186/​cc10318 CrossRef
5.
Zurück zum Zitat Bove T, Zangrillo A, Guarracino F et al (2014) Effect of fenoldopam on use of renal replacement therapy among patients with acute kidney injury after cardiac surgery: a randomized clinical trial. JAMA. doi:10.1001/jama.2014.13573 PubMed Bove T, Zangrillo A, Guarracino F et al (2014) Effect of fenoldopam on use of renal replacement therapy among patients with acute kidney injury after cardiac surgery: a randomized clinical trial. JAMA. doi:10.​1001/​jama.​2014.​13573 PubMed
6.
7.
Zurück zum Zitat Ho J, Tangri N, Komenda P et al (2015) Urinary, plasma, and serum biomarkers’ utility for predicting acute kidney injury associated with cardiac surgery in adults: a meta-analysis. Am J Kidney Dis Off J Natl Kidney Found 66:993–1005. doi:10.1053/j.ajkd.2015.06.018 CrossRef Ho J, Tangri N, Komenda P et al (2015) Urinary, plasma, and serum biomarkers’ utility for predicting acute kidney injury associated with cardiac surgery in adults: a meta-analysis. Am J Kidney Dis Off J Natl Kidney Found 66:993–1005. doi:10.​1053/​j.​ajkd.​2015.​06.​018 CrossRef
10.
Zurück zum Zitat Kim WH, Lee J-H, Kim E et al (2016) Can we really predict postoperative acute kidney injury after aortic surgery? diagnostic accuracy of risk scores using gray zone approach. Thorac Cardiovasc Surg 64:281–289. doi:10.1055/s-0034-1396082 CrossRefPubMed Kim WH, Lee J-H, Kim E et al (2016) Can we really predict postoperative acute kidney injury after aortic surgery? diagnostic accuracy of risk scores using gray zone approach. Thorac Cardiovasc Surg 64:281–289. doi:10.​1055/​s-0034-1396082 CrossRefPubMed
11.
Zurück zum Zitat Lachance P, Villeneuve P-M, Rewa OG et al (2017) Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review. Nephrol Dial Transplant 32(2):265–272. doi:10.1093/ndt/gfw424 Lachance P, Villeneuve P-M, Rewa OG et al (2017) Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review. Nephrol Dial Transplant 32(2):265–272. doi:10.​1093/​ndt/​gfw424
12.
Zurück zum Zitat Flechet M, Güiza F, Schetz M et al (2017) AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin. Intensive Care Med. doi:10.1007/s00134-017-4678-3 PubMed Flechet M, Güiza F, Schetz M et al (2017) AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin. Intensive Care Med. doi:10.​1007/​s00134-017-4678-3 PubMed
13.
Zurück zum Zitat Zhang A, Cai Y, Wang P-F et al (2016) Diagnosis and prognosis of neutrophil gelatinase-associated lipocalin for acute kidney injury with sepsis: a systematic review and meta-analysis. Crit Care Lond Engl 20:41. doi:10.1186/s13054-016-1212-x CrossRef Zhang A, Cai Y, Wang P-F et al (2016) Diagnosis and prognosis of neutrophil gelatinase-associated lipocalin for acute kidney injury with sepsis: a systematic review and meta-analysis. Crit Care Lond Engl 20:41. doi:10.​1186/​s13054-016-1212-x CrossRef
Metadaten
Titel
Predictions are difficult…especially about AKI
verfasst von
Michael Darmon
Marlies Ostermann
Michael Joannidis
Publikationsdatum
20.02.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Intensive Care Medicine / Ausgabe 6/2017
Print ISSN: 0342-4642
Elektronische ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-017-4720-5

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