AIM: To analyze and screen the risk factors for acute kidney injury (AKI) following heart transplantation (HT), and to establish a dynamic nomograms prediction model to forecast early AKI after HT. METHODS: A retrospective analysis was conducted on clinical data from HT recipients at Nanjing First Hospital from October 2012 to June 2024. Patients were divided into AKI and non-AKI groups based on AKI occurrence within 7 days post-surgery, with a 8:2 ratio for training and testing sets. Lasso regression and multivariable logistic regression were used to select influencing factors. A dynamic nomogram model was visualized using R. Internal validation was performed using 1 000 bootstrap samples. Model accuracy and discrimination were evaluated using the area under the receiver operating characteristic curve (AUC-ROC), calibration curves, and the Hosmer-Lemeshow goodness-of-fit test. The nomogram model was compared with the Cleveland score. RESULTS: The results of a multivariable logistic regression indicate that a history of atrial fibrillation (OR=9.647, 95% CI=1.961-47.470), vasoactive inotropic score (OR=1.094, 95% CI=1.012-1.183), intraoperative transfusion of red blood cells or plasma (OR=10.200, 95% CI=1.727-60.238), postoperative central venous pressure (OR=1.548, 95% CI=1.186-2.021), and postoperative use of vancomycin (OR=25.082, 95% CI=2.122-296.417) are independent risk factors for HT-AKI. The dynamic nomogram model achieved an AUC of 0.842 (95% CI: 0.676-0.971) in the test set, with a calibration plot showing a slope close to 1 and a Brier score of 0.173. The Hosmer-Lemeshow goodness-of-fit test (χ2=5.658, P=0.685) suggests good predictive performance of the model. Moreover, this model demonstrates superior discriminative ability compared to the Cleveland score. CONCLUSION: This study identified preoperative, intraoperative, and postoperative risk factors influencing the occurrence of HT-AKI. The developed dynamic nomogram model accurately identifies high-risk individuals for early HT-AKI and is convenient for clinical use.