Re-evaluating Renal Angina Index: An Authentic, Evidence-Based Instrument for Acute Kidney Injury Assessment: Critical Appraisal
| Autor: | Isabelle Mawby, Rupesh Raina, Nikhita Kumar, Nikhil Datla, Abhishek Tibrewal, Sidharth Kumar Sethi, Ronith Chakraborty, Nirav Agarwal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
030232 urology & nephrology MEDLINE Context (language use) urologic and male genital diseases Pediatrics intensive care unit RJ1-570 law.invention 03 medical and health sciences 0302 clinical medicine Oliguria law hemic and lymphatic diseases Internal medicine medicine Prospective cohort study Original Research Renal angina business.industry indicator Acute kidney injury renal angina index 030208 emergency & critical care medicine medicine.disease Intensive care unit Critical appraisal pediatric acute kidney injury Pediatrics Perinatology and Child Health medicine.symptom business |
| Zdroj: | Frontiers in Pediatrics Frontiers in Pediatrics, Vol 9 (2021) |
| ISSN: | 2296-2360 |
| DOI: | 10.3389/fped.2021.682672 |
| Popis: | Background/Introduction: Renal angina index (RAI) used to calculate and accurately predict risk for the development of acute kidney injury (AKI) has been heavily explored. AKI is traditionally diagnosed by an increase in serum creatinine (SCr) concentration or oliguria, both of which are neither specific nor sensitive, especially among children. An RAI score may be calculated by combining objective signs of kidney dysfunction (such as SCr) and patient context, such as AKI risk factors, thus potentially serving as a more accurate indicator for AKI.Objective: Due to the propitious and novel nature of RAI, this editorial commentary aims to analyze the current literature on RAI and determine how well RAI serves as a predictor of AKI outcomes.Method: A comprehensive literature search was conducted in PubMed/Medline and Google Scholar between January 2012 and July 2020. Literature included the prognostic aspect of early prediction of AKI in the pediatric and adult population via RAI.Results: The initial literature search included 149 studies, and a total of 10 studies reporting the outcomes of interest were included. The overall sample size across these studies was 11,026. The predictive ability of RAI had a pooled (95% CI) sensitivity of 79.21%, specificity of 73.22%, and negative predictive value of 94.83%.Conclusion: RAI shows benefit in the prediction of AKI among adult and pediatric populations. However, there is a lack of sufficient data, and further prospective studies are needed in pediatric populations to use RAI as a principal AKI indicator among clinicians. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|