Objective To analyze the risk factors of short-term renal function loss of the operated side after partial nephrectomy (PN), and to construct and verify a prediction model based on this, in order to provide some guidance for improving postoperative renal function of patients.Methods The clinical data of 107 patients who underwent PN in our hospital from January 2015 to December 2023 were retrospectively analyzed. The patients were divided into renal function loss group (27 cases) and non-renal function loss group (80 cases) according to the occurrence of renal function loss on the operated side after operation. The risk factors affecting postoperative renal function loss of the surgical side of patients were analyzed, and a Nomogram model was constructed to predict the risk of postoperative renal function loss of patients. The receiver operating characteristic curve (ROC) was drawn, and the area under the curve (AUC) was used to analyze the predictive efficiency of the prediction model for postoperative renal function loss of patients.Results The maximum tumor diameter, R.E.N.A.L score, the proportion of warm ischemia type and the proportion of ischemic time > 45 min in the loss group were higher than those in the non-loss group, and the renal volume preservation rate was lower than that in the non-loss group (P <0.05). Multivariate stepwise Logistic regression analysis showed that R.E.N.A.L score [O^R = 5.609 (95% CI: 2.710, 11.606) ], ischemic type [O^R = 4.462 (95% CI: 1.978, 10.064) were the risk factors of postoperative short-term renal function loss in PN patients (P < 0.05). Renal volume preservation rate [O^R = 0.285 (95% CI: 0.098, 0.826) ] was a protective factor (P < 0.05). The nomogram prediction model based on the above influencing factors was internally verified by the Bootstrap method, and the C-index index was 0.852 (95% CI: 0.783, 0.964), and the calibration curve for predicting renal function loss of patients was close to the ideal curve (P > 0.05). ROC showed that the sensitivity and specificity of the nomogram model in predicting renal function loss were 88.90% (95% CI: 0.791, 0.984) and 91.20% (95% CI: 0.841, 0.994), respectively.Conclusion R.E.N.A.L score and ischemia type are independent risk factors for postoperative short-term renal function loss in PN patients, and renal volume preservation rate is an independent protective factor. The nomogram prediction model based on this model can better evaluate the risk of short-term renal function loss on the operated side after PN.