Predicting Acute Kidney Injury in Intensive Care Unit Patients: The Role of Tissue Inhibitor of Metalloproteinases-2 and Insulin-Like Growth Factor-Binding Protein-7 Biomarkers

Abstract

Background: Acute kidney injury (AKI) diagnosis is based on a rise in serum creatinine and/or fall in urine output. It has been shown that there are patients that fulfill AKI definition but do not have AKI, and there are also patients with evidence of renal injury who do not meet any criteria for AKI. Recently the innovative and emerging proteomic technology has enabled the identification of novel biomarkers that allow improved risk stratification.

Methods: Tissue inhibitor of metalloproteinases-2 (TIMP-2), insulin-like growth factor-binding protein 7 (IGFBP7) were measured to a cohort of 719 consecutive patients admitted to Intensive Care Unit (ICU). The primary endpoint was the evaluation of clinical performances of the biomarkers focusing on the probability do develop AKI in the first 7 days.

Results: The Kaplan-Meier analysis considering the first 7 days of ICU stay suggested a lower risk of developing AKI (p < 0.0001) for patients with a negative (<0.3; TIMP-2*IGFBP7) test.

Conclusion: (TIMP-2*IGFBP7) at ICU admission has a good performance in predicting AKI, especially in the first 4 days in ICU.

Keywords: Acute kidney injury; Cell cycle arrest biomarker; Tissue inhibitor of metalloproteinases-2 and insulin-like growth factor-binding protein 7.