Prognostic value of Red Blood Cell Distribution Width in Acute Kidney Injury Patients:A Systematic Review and Meta-analysis
Abstract
BackgroundThe conflicting result with regard to Red Cell Distribution Width (RDW) with Acute Kidney Injury (AKI) has been reported. This systematic review and meta-analysis were aimed to investigate RDW and prognostic value in AKI patients.\n\nMethods/Main ResultsThis meta-analysis included 1251 cases and 1663 controls with a total of 7 enrolled published papers. The results of RDW levels were significantly associated with patients of AKI (WMD=1.127, 95% CI=0.426-1.827; P=0.002), with statistically significant heterogeneity (I2 =95.80%, Pheterogeneity =0.000, random-effects model).\n\nConclusionsIn conclusion, the results of this present meta-analysis suggest that the RDW value is a positive prognostic indicator in patients with AKI. However, these results were obtained on the basis of RCS or small sample sizes studies. Further functional studies with additional data would be needed to validate our findings.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Murine models of renal ischaemia reperfusion injury: An opportunity for refinement using non-invasive monitoring methods
R. Harwood, J. Bridge, … P. Murray·bioRxiv·Dec 17, 2019
- An Empirical Biomarker-based Calculator for Autosomal Recessive Polycystic Kidney Disease The Nieto-Narayan Formula
Jake A Nieto, Michael A Yamin, … Prakash Narayan·bioRxiv·Jul 26, 2016
- Nicotinamide riboside: A promising therapy for MI-induced acute kidney injury by upregulating nicotinamide phosphoribosyltransferase-mediated NAD levels
Nada J. Habeichi, Ghadir Amin, … Fouad Anthony Zouein·Journal of the American Heart AssociationPeer-reviewed·Feb 26, 2025
- Prediction of Acute Kidney Injury with a Machine Learning Algorithm using Electronic Health Record Data
Hamid Mohamadlou, Anna Lynn-Palevsky, … Ritankar Das·Canadian Journal of Kidney Health and DiseasePeer-reviewed·Jan 1, 2018
- Impaired renal gluconeogenesis is a major determinant of acute kidney injury associated mortality
D. Legouis, S.-E. Ricksten, … S. de Seigneux·bioRxiv·Oct 16, 2019
- IL-22 promotes acute kidney injury through activation of the DNA damage response and cell death in proximal tubule cells
K. Taguchi, S. Sugahara, … C. R. Brooks·bioRxiv·Jun 8, 2023