» Articles » PMID: 30035208

Assessment of a Renal Angina Index for Prediction of Severe Acute Kidney Injury in Critically Ill Children: a Multicentre, Multinational, Prospective Observational Study

Overview
Specialty Pediatrics
Date 2018 Jul 24
PMID 30035208
Citations 57
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Acute kidney injury (AKI) occurs in one in four children admitted to the intensive care unit (ICU) and AKI severity is independently associated with increased patient morbidity and mortality. Early prediction of AKI has the potential to improve outcomes. In smaller, single center populations, we have previously derived and validated the performance of the renal angina index (RAI), a context driven risk stratification system, to predict severe AKI.

Methods: A prospective, observational study (AWARE, January-December 2014) was conducted in intensive care units from 32 centers in 9 countries. The primary outcome was the presence of severe AKI ("AKI"; Stage 2-3 AKI KDIGO guidelines) on the third day after ICU admission (). We compared the performance of the RAI to changes in serum creatinine relative to baseline (SCr/Base) for prediction of the primary outcome and secondary outcomes of interest. A RAI ≥ 8 defined fulfillment of renal angina (RA+); RA+ was compared to SCr increased relative to baseline ("SCr>Base"; using maximum SCr in first 12 hours of ICU admission).

Findings: The 1590 patients studied were 55% male and had median age of 54.5 months. 286 patients (17.9%) were RA+. AKI occurred in 121 (42.3%) RA+ . 247 (18.9%) RA-patients (relative risk (RR) 2.23; 95% confidence interval (CI): 1.87-2.66, p<0.001). 368 (23.1%) patients with AKI had increased renal replacement therapy utilization (10.9% . 1.5%, p<0.001) and increased mortality (7.6% . 4.3%, p=0.01) compared to patients without AKI. RA+ demonstrated better prediction for AKI than SCr>Base (RR: 1.61; (1.33-1.93), p<0.001) which was maintained on multivariate regression (independent odds ratio (OR): RA+ 3.21; 95% CI (2.20-4.67) vs. SCr>Base 0.68; 95% CI (0.49-4.94)).

Interpretation: Earlier, better prediction of severe AKI has the potential to improve AKI associated patient outcomes. Compared to isolated, context-free changes in SCr, renal angina risk assessment improved accuracy for prediction of severe AKI in critically ill children and young adults.

Citing Articles

Kidney Injury Following Cardiac Surgery: A Review of Our Current Understanding.

Kamla C, Meersch-Dini M, Palma L Am J Cardiovasc Drugs. 2025; .

PMID: 39799538 DOI: 10.1007/s40256-024-00715-8.


Contrast-Enhanced Ultrasound (CEUS) and Ultra-Microangiography (UMA) in Critically Ill Children with Acute Kidney Injury.

Ogorevc N, Slak P, Niksic S, Novljan G, Fister P, Plut D Children (Basel). 2024; 11(10).

PMID: 39457170 PMC: 11506883. DOI: 10.3390/children11101205.


Prediction of cardiac surgery associated acute kidney injury using response to loop diuretic and urine neutrophil gelatinase associated lipocalin.

Sullivan E, Melink K, Pettit K, Goldstein S, Zang H, Ollberding N Pediatr Nephrol. 2024; 39(12):3597-3606.

PMID: 39120723 PMC: 11511769. DOI: 10.1007/s00467-024-06469-4.


Diagnostic Validation of the Updated Pediatric Sepsis Biomarker Risk II for Acute Kidney Injury Prediction Model in Pediatric Septic Shock.

Stanski N, Zhang B, Cvijanovich N, Fitzgerald J, Bigham M, Jain P Pediatr Crit Care Med. 2024; 25(11):1005-1016.

PMID: 39115853 PMC: 11534533. DOI: 10.1097/PCC.0000000000003589.


Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study.

Hu J, Xu J, Li M, Jiang Z, Mao J, Feng L EClinicalMedicine. 2024; 68:102409.

PMID: 38273888 PMC: 10809096. DOI: 10.1016/j.eclinm.2023.102409.


References
1.
Hoste E, Bagshaw S, Bellomo R, Cely C, Colman R, Cruz D . Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015; 41(8):1411-23. DOI: 10.1007/s00134-015-3934-7. View

2.
Basu R, Zappitelli M, Brunner L, Wang Y, Wong H, Chawla L . Derivation and validation of the renal angina index to improve the prediction of acute kidney injury in critically ill children. Kidney Int. 2013; 85(3):659-67. PMC: 4659420. DOI: 10.1038/ki.2013.349. View

3.
Basu R, Chawla L, Wheeler D, Goldstein S . Renal angina: an emerging paradigm to identify children at risk for acute kidney injury. Pediatr Nephrol. 2011; 27(7):1067-78. PMC: 3362708. DOI: 10.1007/s00467-011-2024-5. View

4.
Kellum J, Bellomo R, Ronco C . Kidney attack. JAMA. 2012; 307(21):2265-6. DOI: 10.1001/jama.2012.4315. View

5.
Rhodes A, Evans L, Alhazzani W, Levy M, Antonelli M, Ferrer R . Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Crit Care Med. 2017; 45(3):486-552. DOI: 10.1097/CCM.0000000000002255. View