Objective:To investigate the risk factors for acute kidney injury (AKI) in elderly patients with severe fever with thrombocytopenia syndrome (SFTS).Methods:A retrospective analysis was performed on 414 elderly patients with SFTS admitted to Weihai Central hospital from April 2016 to October 2024.According to the occurrence of AKI, patients were divided into the AKI group (n=120) and the non-AKI group (n=294).Clinical indicators were compared between the two groups.Logistic regression was used to identify risk factors for AKI in SFTS patients.A Nomogram model was constructed based on the identified risk factors, and receiver operator characteristic (ROC) curve was used to analyze the predictive value of Nomogram model and risk factors.Results:Multivariate logistic regression analysis showed that platelet count ( OR=0.977, 95% CI: 0.966-0.988, P<0.001), baseline creatinine value ( OR=1.044, 95% CI: 1.026-1.062, P<0.001), serum uric acid / albumin ratio ( OR=1.215, 95% CI: 1.142-1.293, P<0.001) were independent risk factors for AKI in elderly SFTS patients.The ROC curve analysis showed that the area under the curve (AUC ) of the Nomogram model was 0.884, significantly higher than those of serum uric acid / albumin ratio (AUC=0.836), baseline creatinine(AUC=0.793)and platelet count(AUC=0.725)( Z=3.085, 4.747, 6.101, all P < 0.05). Conclusions:Serum uric acid/albumin ratio, baseline creatinine value and platelet count are significant risk factors for AKI in elderly patients with SFTS.The Nomogram model based on these three variables significantly improves the prediction accuracy of AKI in elderly patients with SFTS.
(8.0+极速模式)