Heat Shock Protein-72 as a Novel Biomarker to Predict Acute Kidney Injury in Critically Ill Patients

Ahmed, Safaa Hamdy; Amin, Ezzat Kamel; Khalifa, Naglaa Ali; Ali, Yaser Mohammed

doi:10.21608/ejhm.2022.266826

Heat Shock Protein-72 as a Novel Biomarker to Predict Acute Kidney Injury in Critically Ill Patients

Document Type : Original Article

Authors

10.21608/ejhm.2022.266826

Abstract

Background: Acute kidney injury (AKI), also known as transient renal failure, is characterized by a sudden loss in kidney function and a reversible acute rise in nitrogen waste products. A measurable decrease in urine output can be used to identify renal function decline. Blood tests for the kidney's typical excretion products, urea and creatinine, are frequently used to identify it. AKI in rats and people can be detected early by using a sensitive biomarker called heat shock protein-72 (Hsp 72). The biomarker Hsp-72 has sufficient sensitivity and specificity to identify the AKI up to 3 days before the diagnosis in severely sicked individuals.
Aim: This study aimed to assess the sensitivity, specificity, and predictive values of Hsp-72 in the early prediction of AKI in severely diseased candidates.
Subject and Methods: This study was done in PICU, Pediatrics Department, Zagazig University. Participants were split into 2 collections according to development of AKI.
Results: There was significance elevation in neutrophil gelatinase-associated lipocalin (NGAL), KIM-1 and Hsp-72 levels at 3^rd day compared to levels on admission. Urinary output showed significant decrease in AKI group compared to no AKI group. There were no statistical significance variations among the double collections as regards nephrotoxic drug. Conclusion: Even though most of the investigated biomarkers had comparable capacities to inspect the AKI 24-h before the AKIN features was met, Hsp-72 was much utmost due to it was the initial discoverable AKI biomarker and was remarkably sensitive and specific. HSP-72 was the most popular diagnosis at day 3. AKI in severely sicked individuals can be accurately and specifically predicted by the biomarker HSP-72 up to three days before the diagnosis.

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