Can Radiological Renal Artery Parameters Predict Acute Kidney Injury in Infective Endocarditis Surgery?-From Imaging to Outcomes

• Published in: Diagnostics (Basel) 2024-11, Vol.14 (22), p.2527
• Main Authors: Dinges, Christian, Boxhammer, Elke, Kremser, Iris, Gansterer, Katja, Steindl, Johannes, Schörghofer, Nikolaos, Knapitsch, Christoph, Kaufmann, Reinhard, Hoppe, Uta C, Hammerer, Matthias, Hergan, Klaus, Scharinger, Bernhard
• Format: Article
• Language: English
• Subjects: acute kidney injury; Antimicrobial agents; Austria; Calcification; Cardiovascular agents; computed tomography; Contrast agents; Coronary vessels; Creatinine; CT imaging; Endocarditis; Ethics; Heart; Infections; Infective endocarditis; Intervention; Kidney diseases; Kidneys; Medical imaging; Medical research; Medicine, Experimental; Morphology; Mortality; Patient outcomes; Patients; Prognosis; renal artery anatomy; renal artery calcifications; Risk assessment; Surgery; valve surgery; Veins & arteries
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics14222527

Infective endocarditis (IE) poses significant challenges in cardiovascular medicine, often necessitating valvular surgery to manage severe complications. Postoperative acute kidney injury (AKI) is a notable complication affecting patient outcomes. While clinical and procedural factors have been well studied, the role of radiological renal artery parameters in AKI risk remains underexplored. This retrospective study analyzed 80 patients with IE who underwent valvular surgery from 2013 to 2021, focusing on postoperative AKI as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Radiological parameters, including renal artery calcification, renal ostial calcification, the presence of renal infarctions, and additional arteries, were assessed using preoperative computed tomography (CT). Statistical analyses included binary logistic and linear regression models, Kaplan-Meier survival curves, and Cox proportional hazard regression to explore associations between these parameters and AKI incidence, creatinine levels, and mortality. Out of 80 patients, 31 (38.8%) developed AKI. No significant differences were found in baseline characteristics or radiological parameters between the AKI+ and AKI- groups. Binary logistic and linear regression analyses revealed no substantial relationship between anatomical factors and AKI risk or creatinine levels. However, Cox regression identified "additional renal artery" as a significant predictor of 1-month mortality (HR: 1.747, 95% CI: 1.024-2.979, = 0.041) but not for 6- or 12-month mortality. Radiological anatomical factors, including calcifications and additional arteries, did not significantly impact AKI risk in IE patients undergoing valvular surgery. However, the presence of additional arteries was associated with increased short-term mortality. These findings suggest the need for further research to elucidate factors contributing to AKI and mortality in this context.