Literature DB >> 34977984

Diagnostic accuracy of renal angina index alone or in combination with biomarkers for predicting acute kidney injury in children.

Jitendra Meena1, Jogender Kumar2, Christy Cathreen Thomas3, Lesa Dawman4, Karalanglin Tiewsoh4, Menka Yadav5, Georgie Mathew6.   

Abstract

Early recognition of patients at risk for severe acute kidney injury (AKI) by renal angina index (RAI) may help in the early institution of preventive measures. Objective was to evaluate performance of RAI alone or in combination with biomarkers in predicting severe AKI (KDIGO stage 2 and 3 or equivalent) and receipt of kidney replacement therapy (KRT) in critically ill children. We searched PubMed, EMBASE, Web of Sciences, and CENTRAL for studies published till May 2021. Search terms included acute kidney injury, pediatrics, adolescent, renal angina index, and biomarker. Proceedings of relevant conferences and references of included studies were also scrutinized. Two reviewers independently assessed the study eligibility. Cohort and cross-sectional studies evaluating the diagnostic performance of RAI in predicting AKI or receipt of KRT in children were included. Eligible participants were the children less than 18 years with RAI assessment on day 0 ofadmission. We followed PRISMA-DTA guidelines and used the QUADAS-2 tool for quality assessment. A bivariate model for meta-analysis was used to calculate the summary estimates of diagnostic parameters. Major outcomes were the diagnostic accuracy of RAI (≥ 8) alone or with biomarkers in predicting severe AKI and KRT receipt. Diagnostic accuracy was reported using summary sensitivity, specificity, and area under the curve (AUC). Overall, 22 studies (24 reports, 14,001 participants) were included. RAI ≥ 8 on day 0 has summary sensitivity, specificity, and AUC of 0.86 (95% CI, 0.77-0.92), 0.77 (0.68-0.83), and 0.88 (0.85-0.91) respectively for prediction of severe AKI on day 3. In comparison, a combination of RAI and urinary neutrophil gelatinase-associated lipocalin (NGAL) showed summary sensitivity, specificity, and AUC of 0.76 (0.62-0.85), 0.89 (0.74-0.96), and 0.87 (0.84-0.90) respectively for predicting severe AKI. The sensitivity, specificity, and AUC of RAI for predicting receipt of KRT were 0.82 (0.71-0.90), 0.74 (0.66-0.81), and 0.85 (0.81-0.88) respectively. In meta-regression, only the study setting (sepsis vs. heterogenous) was associated with heterogeneity. We observed substantial heterogeneity among eligible studies. Five studies had concerns in patient selection, and seven studies also had applicability concerns in patient selection for this review. Moderate certainty evidence showed that RAI ≥ 8 has good predicting ability in recognizing children at risk of severe AKI and receipt of KRT. The combination of urinary NGAL and RAI further improves the predicting ability (low-certainty evidence). Further studies are required on the context-driven assessment of novel biomarkers in the early prediction of AKI in RAI-positive children. Systematic review registration number: CRD4202122268. A higher resolution version of the Graphical abstract is available as Supplementary information.
© 2021. The Author(s), under exclusive licence to International Pediatric Nephrology Association.

Entities:  

Keywords:  Acute kidney injury; Biomarker; Dialysis; Pediatrics; Risk-stratification

Mesh:

Substances:

Year:  2022        PMID: 34977984     DOI: 10.1007/s00467-021-05368-2

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.651


  33 in total

1.  Assessment of a renal angina index for prediction of severe acute kidney injury in critically ill children: a multicentre, multinational, prospective observational study.

Authors:  Rajit K Basu; Ahmad Kaddourah; Stuart L Goldstein
Journal:  Lancet Child Adolesc Health       Date:  2018-02

2.  Outcome of pediatric acute kidney injury: a multicenter prospective cohort study.

Authors:  Jameela A Kari; Khalid A Alhasan; Mohamed A Shalaby; Norah Khathlan; Osama Y Safdar; Suleman A Al Rezgan; Sherif El Desoky; Amr S Albanna
Journal:  Pediatr Nephrol       Date:  2017-09-15       Impact factor: 3.714

3.  World incidence of AKI: a meta-analysis.

Authors:  Paweena Susantitaphong; Dinna N Cruz; Jorge Cerda; Maher Abulfaraj; Fahad Alqahtani; Ioannis Koulouridis; Bertrand L Jaber
Journal:  Clin J Am Soc Nephrol       Date:  2013-06-06       Impact factor: 8.237

4.  Hospital-acquired acute kidney injury and hospital readmission: a cohort study.

Authors:  Ioannis Koulouridis; Lori Lyn Price; Nicolaos E Madias; Bertrand L Jaber
Journal:  Am J Kidney Dis       Date:  2014-10-22       Impact factor: 8.860

5.  Derivation and validation of the renal angina index to improve the prediction of acute kidney injury in critically ill children.

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

6.  Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement.

Authors:  Marlies Ostermann; Alexander Zarbock; Stuart Goldstein; Kianoush Kashani; Etienne Macedo; Raghavan Murugan; Max Bell; Lui Forni; Louis Guzzi; Michael Joannidis; Sandra L Kane-Gill; Mathieu Legrand; Ravindra Mehta; Patrick T Murray; Peter Pickkers; Mario Plebani; John Prowle; Zaccaria Ricci; Thomas Rimmelé; Mitchell Rosner; Andrew D Shaw; John A Kellum; Claudio Ronco
Journal:  JAMA Netw Open       Date:  2020-10-01

7.  Epidemiology of Acute Kidney Injury in Critically Ill Children and Young Adults.

Authors:  Ahmad Kaddourah; Rajit K Basu; Sean M Bagshaw; Stuart L Goldstein
Journal:  N Engl J Med       Date:  2016-11-18       Impact factor: 91.245

Review 8.  The use of diagnostic tools for pediatric AKI: applying the current evidence to the bedside.

Authors:  Dana Fuhrman
Journal:  Pediatr Nephrol       Date:  2021-01-25       Impact factor: 3.714

9.  The severity of acute kidney injury predicts progression to chronic kidney disease.

Authors:  Lakhmir S Chawla; Richard L Amdur; Susan Amodeo; Paul L Kimmel; Carlos E Palant
Journal:  Kidney Int       Date:  2011-03-23       Impact factor: 10.612

Review 10.  Dynamic Biomarker Assessment: A Diagnostic Paradigm to Match the AKI Syndrome.

Authors:  Rajit K Basu
Journal:  Front Pediatr       Date:  2020-01-21       Impact factor: 3.418

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