Predictive value of the uric acid-to-albumin ratio for contrast-induced nephropathy after percutaneous coronary intervention and construction of a clinical prediction model in patients with coronary artery disease - Summary - MDSpire
Advertisement
Predictive value of the uric acid-to-albumin ratio for contrast-induced nephropathy after percutaneous coronary intervention and construction of a clinical prediction model in patients with coronary artery disease
To investigate the association between the uric acid-to-albumin ratio (UAR) and contrast-induced nephropathy (CIN) in patients undergoing percutaneous coronary intervention (PCI) and to develop a clinical prediction model.
Key Findings:
CIN occurred in 76 patients (9.6%).
UAR was the strongest single discriminator for CIN (AUC: 0.790).
Incorporating UAR into the base model increased AUC from 0.850 to 0.921 (P < 0.001).
The UAR-augmented model showed significant improvements in net reclassification index (NRI) and integrated discrimination improvement (IDI).
Interpretation:
UAR is a novel and effective predictor of CIN after elective PCI, enhancing pre-procedural risk estimation and aiding clinical decision-making.
Limitations:
The study was conducted in a single center with a specific population, limiting generalizability.
External validation of the nomogram is required before widespread clinical implementation.
Conclusion:
UAR significantly improves risk stratification for CIN in patients undergoing PCI, warranting further validation for clinical use.
