You are in:Home/Publications/Prediction Of Acute Kidney Injury Using Renal Angina Index In Pediatric Intensive Care Unit

Ass. Lect. Eman Mohamed Zayed Mohamed :: Publications:

Title:
Prediction Of Acute Kidney Injury Using Renal Angina Index In Pediatric Intensive Care Unit
Authors: S.A.Dabour1, S.A.Elgendy1, E.G.Abdel Rahman1, and E.M.Zayed1
Year: 2020
Keywords: Acute Kidney Injury; Renal Angina Index; PICU
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: Local
Paper Link: Not Available
Full paper Eman Mohamed Zayed Mohamed Kamshosh_eman .pdf
Supplementary materials Not Available
Abstract:

Prediction of AKI or risk stratification of patients in danger of kidney damage is crucial for initiating preventive measures for AKI. Thus, an appropriate risk assessment for AKI is required in every patient admitted to the intensive care unit (ICU). the renal angina index (RAI), which is determined based on changes in renal function, was proposed to risk stratify critically ill children at high risk of AKI. determine the ability of renal angina index to predict acute kidney injury in children in pediatric intensive care unit and comparing its abilility with that of serum creatinine. This study is a prospective obsevational study was carried on 162 children admitted in pediatric intensive care unit, All studied patients have been subjected to full history taking, complete clinical examination and Measurement of Complete blood count, Serum creatinine, Liver function tests (ALT, AST, PT, PTT, INR) and electrolytes. Calculation 0f renal angina index and Detection of patients developed AKI at D3 according to KDIGO criteria. This study included 100 children. 54% of the studied patients were males and 46% were females, their mean age was 6.3 years, Seventy percent of the studied sample had AKI, there were no statistically significant differences between patients with and without AKI regarding sex, age, or weight, ROC curve analysis showed that RAI, and creatinine (each alone) can significantly predict AKI at the shown cutoff values. RAI is more sensitive and specific (79.6% & 64.8% respectively) than creatinine (61.4% & 63.3%).

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus