BACKGROUND: Acute kidney injury (AKI) is independently associated with worsened morbidity and increased mortality in the pediatric intensive care unit (PICU). AKI risk score, termed renal angina index (RAI) is used in developed countries to predict subsequent severe AKI. Very few studies have investigated application of RAI in the PICU of a developing country. This prospective observational study aimed to predict severe subsequent AKI in children admitted to PICU using RAI. METHODS: Over 1 year, children admitted to PICU aged 1 month-18 years old, with no previous kidney disease, were included. RAI was assessed from 8 to 12 h of PICU admission (day 0). RAI was calculated from product of the renal risk and renal injury score. Renal angina positivity was defined as RAI ≥ 8. On day 3, serum creatinine was estimated and estimated glomerular filtrration rate (eGFR) calculated. RAI was correlated with presence/absence of subsequent (day 3) severe AKI. RAI positivity was also correlated with duration of PICU stay, need for dialysis, mechanical ventilation, and mortality. RESULTS: RAI positivity was seen in 16.7% cases, of which 36.2% developed AKI at 4 days vs. 2.3% in RAI-negative cases (p < 0.001). Mean duration of PICU stay in the RAI-positive group was 7.19 ± 5.13 days vs. 4.72 ± 2.71 days in the RAI-negative group (p < 0.001). Mortality was seen in 31.9% of RAI-positive cases vs. 2% in RAI-negative cases (p < 0.001). CONCLUSIONS: RAI could be used as a simple and important bedside tool to predict patients at risk of severe AKI.
BACKGROUND:Acute kidney injury (AKI) is independently associated with worsened morbidity and increased mortality in the pediatric intensive care unit (PICU). AKI risk score, termed renal angina index (RAI) is used in developed countries to predict subsequent severe AKI. Very few studies have investigated application of RAI in the PICU of a developing country. This prospective observational study aimed to predict severe subsequent AKI in children admitted to PICU using RAI. METHODS: Over 1 year, children admitted to PICU aged 1 month-18 years old, with no previous kidney disease, were included. RAI was assessed from 8 to 12 h of PICU admission (day 0). RAI was calculated from product of the renal risk and renal injury score. Renal angina positivity was defined as RAI ≥ 8. On day 3, serum creatinine was estimated and estimated glomerular filtrration rate (eGFR) calculated. RAI was correlated with presence/absence of subsequent (day 3) severe AKI. RAI positivity was also correlated with duration of PICU stay, need for dialysis, mechanical ventilation, and mortality. RESULTS:RAI positivity was seen in 16.7% cases, of which 36.2% developed AKI at 4 days vs. 2.3% in RAI-negative cases (p < 0.001). Mean duration of PICU stay in the RAI-positive group was 7.19 ± 5.13 days vs. 4.72 ± 2.71 days in the RAI-negative group (p < 0.001). Mortality was seen in 31.9% of RAI-positive cases vs. 2% in RAI-negative cases (p < 0.001). CONCLUSIONS:RAI could be used as a simple and important bedside tool to predict patients at risk of severe AKI.
Authors: Rajit K Basu; Michael Zappitelli; Lori Brunner; Yu Wang; Hector R Wong; Lakhmir S Chawla; Derek S Wheeler; Stuart L Goldstein Journal: Kidney Int Date: 2013-09-18 Impact factor: 10.612
Authors: Michael Zappitelli; Pierre-Luc Bernier; Richard S Saczkowski; Christo I Tchervenkov; Ronald Gottesman; Adrian Dancea; Ayaz Hyder; Omar Alkandari Journal: Kidney Int Date: 2009-07-29 Impact factor: 10.612
Authors: Scott M Sutherland; Michael Zappitelli; Steven R Alexander; Annabelle N Chua; Patrick D Brophy; Timothy E Bunchman; Richard Hackbarth; Michael J G Somers; Michelle Baum; Jordan M Symons; Francisco X Flores; Mark Benfield; David Askenazi; Deepa Chand; James D Fortenberry; John D Mahan; Kevin McBryde; Douglas Blowey; Stuart L Goldstein Journal: Am J Kidney Dis Date: 2009-12-30 Impact factor: 8.860
Authors: Francisco Ribeiro-Mourão; Ana Carvalho Vaz; André Azevedo; Helena Pinto; Marta João Silva; Joana Jardim; Augusto Ribeiro Journal: Pediatr Nephrol Date: 2021-06-08 Impact factor: 3.714