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Creatinine

Authors: Shigehiko, Uchino;
Abstract

To summarize the history and current findings for creatinine as a renal biomarker and try to predict its future, looking at new biomarkers for kidneys (neutrophil gelatinase-associated lipocalin and cystatin C) and comparing current development to other diseases (troponins and procalcitonin).In general, biomarkers are used for diagnosis, severity classification, outcome prediction, and most importantly, outcome modification. Creatinine can be used for the first three (except for outcome modification). Multiple clinical studies have shown that new renal biomarkers, especially neutrophil gelatinase-associated lipocalin and cystatin C, can diagnose acute kidney injury more rapidly and accurately, have a better relationship with disease severity, and predict outcome of patients with acute kidney injury more accurately, than creatinine. However, to prove the true superiority of the new renal biomarkers to creatinine, more clinical studies will be required. Such studies include interventional ones that can improve outcome (especially mortality) of patients with acute kidney injury and ones showing relationship of the markers with beneficial effects of specific interventions.Unless enough evidence accumulates, considering the history, familiarity, and recent findings related to outcome, creatinine will continue to be used and dominate in clinical practice.

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Keywords

Calcitonin, Cardiopulmonary Bypass, Critical Care, Organ Dysfunction Scores, Calcitonin Gene-Related Peptide, Acute Kidney Injury, Sensitivity and Specificity, Lipocalins, Intensive Care Units, Postoperative Complications, Lipocalin-2, Creatinine, Proto-Oncogene Proteins, Humans, Cardiac Surgical Procedures, Cystatin C, Protein Precursors, Biomarkers, Blood Chemical Analysis, Acute-Phase Proteins

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
74
Top 10%
Top 10%
Top 10%
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