Background Due to the convenience of serum creatinine (SCr) monitoring and the relative
complexity of urine output (UO) monitoring, most studies have predicted acute kidney injury …

Purpose Acute kidney injury (AKI) is a prevalent and detrimental condition in intensive care
unit patients. Most AKI predictive models only predict creatinine-triggered AKI (AKI Cr) and …

Background. Diagnosis of acute kidney injury (AKI) has been a major concern due to its
association with increased morbidity and mortality. However, the clinical implication of the …

Background Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in
the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a …

Purpose To assess the performance of models for early prediction of acute kidney injury
(AKI) in the Intensive Care Unit (ICU) setting. Patients and Methods Data were collected from …

Abstract Background Acute Kidney Injury (AKI), a frequent complication of pateints in the
Intensive Care Unit (ICU), is associated with a high mortality rate. Early prediction of AKI is …

Background The development of acute kidney injury (AKI) during an intensive care unit
(ICU) admission is associated with increased morbidity and mortality. Methods Our objective …

Background We aimed to identify the affecting features of persistent acute kidney injury
(pAKI) for patients in intensive care units (ICU). Methods The Medical Information Mart for …

Background Combining tubular damage and functional biomarkers may improve prediction
precision of acute kidney injury (AKI). Serum cystatin C (sCysC) represents functional …

Rationale & Objective Risk prediction tools for assisting acute kidney injury (AKI)
management have focused on AKI onset but have infrequently addressed kidney recovery …