Construction of acute kidney injury risk prediction model and prevention strategies after Da Vinci robot-assisted partial nephrectomy
Objective:To construct a risk prediction model for acute kidney injury(AKI)after Da Vinci Xi robot-assisted partial nephrectomy(RAPN)and to explore related prevention strategies.Methods:Clinical data of 86 renal cancer patients who underwent RAPN in the First Affiliated Hospital of Xinjiang Medical University from May 2023 to January 2024 were retrospectively collected.Patients were divided into the AKI group(n=16)and non-AKI group(n=70)according to whether AKI occurred after surgery.General data and perioperative indicators of patients in the two groups were compared,and binary Logistic regression analysis was used to analyze the influencing factors for AKI after RAPN,and a Nomogram model was created for internal validation.Results:Hypertension,diabetes mellitus,body mass index(BMI),postoperative pneumonia,and warm ischemia time were risk factors affecting postoperative AKI in renal cancer patients who underwent RAPN,and standard deviation of the 5-minute average NN intervals(SDANN)was a protective factor.The C-index value was 0.957,and the model had good discrimination.The ROC results showed that the Nomograph model predicted AKI in renal cancer patients after RAPN with an AUC of 0.987,which has certain predictive value.The specificity,sensitivity,and Youden index were 0.952,0.970,and 0.922,respectively.Conclusion:Hypertension,diabetes mellitus,BMI,postoperative pneumonia,warm ischemia time and SDANN are independent influencing factors associated with the occurrence of AKI in renal cancer patients underwent RAPN.
国家科技期刊平台
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