Background
In-stent restenosis (ISR) in patients undergoing percutaneous coronary intervention (PCI) to treat coronary artery disease (CAD) is an urgent issue in clinical practice. Recent studies have highlighted uric acid-albumin ratio (UAR) as a new marker for evaluating inflammation and oxidative stress, capable of predicting cardiovascular ailments. We aimed to examine the correlation between UAR levels and ISR in patients who underwent drug-eluting stent (DES) implantation.
Methods
We included 503 patients with CAD who underwent initial DES implantation and angiography during the follow-up period. Based on coronary angiographic findings, the patients were categorized into ISR (n = 73) and non-ISR groups (n = 430). Before angiography, laboratory parameters were measured for all enrolled patients. To ascertain the influential factors linked to ISR, multivariate logistic regression analysis was performed. The predictive capability of UAR in determining ISR was assessed using receiver operating characteristic (ROC) curve analysis. Statistical significance was set at P < 0.05.
Results
Multivariate logistic regression analysis revealed that diabetes mellitus, stent length, UAR, albumin levels, and C-reactive protein levels independently predicted ISR. ROC curve analysis revealed that UAR had an area under the curve of 0.767 (95% CI: 0.709 – 0.826) for predicting ISR and demonstrated that UAR outperformed the individual predictive abilities of uric acid and albumin for ISR.
Conclusion
UAR was associated with ISR in patients with CAD undergoing PCI with DES implantation. Moreover, ROC curve analysis demonstrated that UAR exhibited superior predictive accuracy for ISR compared with evaluating uric acid and albumin levels separately.