Acute kidney injury (AKI) is a common disease among critically ill patients. The incidence of AKI varies according to different definitions. AKI, even with complete recovery or stage 1 AKI by oliguria alone, can be a risk factor for mortality or chronic kidney disease in long term. There are no efficient therapeutic strategies except renal replacement therapy at present. Early identifying patients at high risk and performing effective prevention strategies is the most economic and safest strategy. The current definition mainly relies on serum creatinine and urine output, both of which have inherent shortcomings. Thus, more accurate and effective predictive models or biomarkers are desired.
The objective of this Research Topic is to illustrate novel predictive models/biomarkers or risk stratification on early identification of AKI, duration or prognosis.
This special issue will present original articles or reviews on AKI among patients in the intensive care unit. The Research Topic includes the following, but is not limited to:
1. Novel biomarkers in urine or blood that could perform early identification alone or combined with current biomarkers or clinical predictive models.
2. Biomarkers or clinical models as indicators for specific medical treatment.
3. Biomarkers or clinical models to predict AKI duration.
4. Predictive models for prognosis.
Acute kidney injury (AKI) is a common disease among critically ill patients. The incidence of AKI varies according to different definitions. AKI, even with complete recovery or stage 1 AKI by oliguria alone, can be a risk factor for mortality or chronic kidney disease in long term. There are no efficient therapeutic strategies except renal replacement therapy at present. Early identifying patients at high risk and performing effective prevention strategies is the most economic and safest strategy. The current definition mainly relies on serum creatinine and urine output, both of which have inherent shortcomings. Thus, more accurate and effective predictive models or biomarkers are desired.
The objective of this Research Topic is to illustrate novel predictive models/biomarkers or risk stratification on early identification of AKI, duration or prognosis.
This special issue will present original articles or reviews on AKI among patients in the intensive care unit. The Research Topic includes the following, but is not limited to:
1. Novel biomarkers in urine or blood that could perform early identification alone or combined with current biomarkers or clinical predictive models.
2. Biomarkers or clinical models as indicators for specific medical treatment.
3. Biomarkers or clinical models to predict AKI duration.
4. Predictive models for prognosis.