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Updated: Jan 19, 2026
08:50
Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
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Risk prediction in chronic kidney disease
1Department of renal medicine, Salford Royal NHS Foundation Trust, Stott Lane, Salford M6 8HD, UK.
Current Opinion in Nephrology and Hypertension
|September 11, 2019
Summary
Accurate risk stratification for chronic kidney disease (CKD) is crucial. Recent advancements include novel biomarkers and imaging techniques, alongside new risk prediction scores for advanced CKD, aiding targeted treatment decisions.
Area of Science:
- Nephrology
- Cardiovascular Medicine
- Biomarker Discovery
Background:
- Accurate risk stratification in chronic kidney disease (CKD) is essential for timely, targeted interventions.
- Conventional cardiovascular risk factors remain significant in advanced CKD (eGFR < 30 mL/min/1.73 m²).
Purpose of the Study:
- To review recent developments in understanding CKD risk factors.
- To highlight advancements in risk prediction for CKD patients.
Main Methods:
- Review of meta-analyses and recent studies on CKD progression.
- Investigation of novel biomarkers (peptides, genes, metabolic factors).
- Evaluation of radiological measures like cortical oxygenation (BOLD-MRI).
Main Results:
- Conventional risk factors are important in advanced CKD.
- Novel biomarkers (e.g., LG1M, MUC1, urinary oxalate) show predictive value.
- BOLD-MRI offers a radiological predictor of eGFR decline.
- A new risk score for advanced CKD (G4-5) has been developed.
Conclusions:
- Ongoing research continues to identify CKD progression determinants.
- Emerging risk prediction tools in CKD show promise but require further validation for clinical utility.
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