Background. The effect of the intrarenal arterial resistance index (RI) on long-term renal functions is not well known. We examined the predictive value of intrarenal RI on long-term allograft outcomes. Methods. We retrospectively investigated 121 stable renal transplant recipients, followed for a mean of 63.21 ± 19.9 months after renal transplant. Patients with complications during the first six months after transplant were not included. Color Doppler ultrasonography was done to calculate the intrarenal RI within the first four weeks after transplant. Results. Older recipient age, high pulse pressure, active smoking, and proteinuria were associated with a higher intrarenal RI. Multivariate analyses revealed that renal RI and donor age were independent predictors of allograft outcome. Kaplan-Meier estimates of cumulative graft survival were significantly worse in patients who had an RI of 0.7 or more than they were in patients who had an RI of less than 0.7 (p = .005). Development of chronic allograft nephropathy (CAN) was significantly higher in patients who had an RI of 0.7 or more (p = .02). Conclusions. Renal RI determined within the first month after renal transplant predicts long-term allograft function and development of CAN in renal transplant recipients.

Contrast-induced nephropathy (CIN) significantly increases morbidity and mortality among acute myocardial infarction (MI) patients undergoing coronary angiography (CAG). This study evaluated the predictive value of serum uric acid (SUA) and C-reactive protein/albumin ratio (CAR) for CIN development. A retrospective analysis included 1326 acute MI patients who underwent CAG between November 2022 and January 2024. CIN occurred in 119 patients (9.0%). Higher SUA (5.60 vs 4.60 mg/dL, P < .001) and CAR (2.79 vs 2.15, P = .004) were significantly associated with CIN. Multivariate analysis confirmed SUA (Odds Ratio [OR]: 1.577, P < .001) and contrast volume (OR: 1.014, P < .001) as independent predictors. Receiver Operating Characteristic (ROC) analysis identified optimal SUA cutoff at 4.9 mg/dL (sensitivity 67.7%, specificity 68.1%). The predictive value of SUA was stronger among diabetic patients. Additionally, SUA positively correlated with CAR ( r = .41, P < .001). A simplified risk score incorporating SUA, CAR, contrast volume, diabetes, and age effectively stratified CIN risk. Elevated SUA levels and high CAR independently predict CIN in acute MI patients, enhancing clinical risk stratification and guiding preventive strategies.