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AKI predictor specifications


Unique identifier OMICS_24501
Name AKI predictor
Alternative name AKIpredictor
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Fabian Guiza

Publication for AKI predictor

AKI predictor citations


Pre procedural renal resistive index accurately predicts contrast induced acute kidney injury in patients with preserved renal function submitted to coronary angiography

PMCID: 5383676
PMID: 27995343
DOI: 10.1007/s10554-016-1039-1

[…] unpaired samples was used, while Mann–Whitney U test was implemented in non-normally distributed parameters. Qualitative variables were compared using the Pearson’s Chi square test. Initially all CI-AKI predictor variables were evaluated in univariate analysis and odds ratios (OR) with 95% confidence interval (CI) were calculated. All the variables with p < 0.1 in univariate model were incorporat […]


Urinary neutrophil gelatinase associated lipocalin in critically ill surgical cancer patients

PMCID: 4430742
PMID: 25983430
DOI: 10.4103/0972-5229.156459

[…] rrelation to kidney dysfunction and a tendency toward increase in mortality (possibly not significant due to an insufficient number of patients).In this study, urinary N-GAL, besides being clearly an AKI predictor, was increased (although without statistical significance) in patients who died. N-GAL has been associated with unfavorable outcome in critical patients, particularly (but not exclusivel […]


Acute Kidney Injury Biomarkers for Patients in a Coronary Care Unit: A Prospective Cohort Study

PLoS One
PMCID: 3285210
PMID: 22384218
DOI: 10.1371/journal.pone.0032328

[…] II, serum and urinary CysC, NGAL and IL-18 for these patients. also compares the discriminatory power of APACHE II and these AKI biomarkers. The AUROC analysis confirmed that serum CysC was the best AKI predictor in the overall CCU population (AUROC 0.895±0.031, p<0.001). There were no significant changes in AUROCs for urinary NGAL, IL-18 or CysC after normalizing for urine creatinine (Ucr, data […]


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AKI predictor institution(s)
Clinical Division and Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; Pharmacy Department, Department of Pharmaceutical and Pharmacological Sciences, University Hospitals Leuven and Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium
AKI predictor funding source(s)
Supported by the Fonds Wetenschappelijk Onderzoek (FWO) (11Y1116 N and 1846113 N); the UZLeuven KOF; and the KULeuven.

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