To analyze the risk factors for complications after endovascular aortic repair of abdominal aortic aneurysm, and to construct and evaluate the predictive efficiency of a prediction model for postoperative complications based on these risk factors.

Clinical data of 270 patients who underwent endovascular aortic repair for abdominal aortic aneurysm from August 2022 to August 2024 were retrospectively collected. Patients were divided into a complication group (n=80) and a non-complication group (n=190) according to the occurrence of postoperative complications. Measurement data conforming to normal distribution were expressed as (

The proportions of hypertension, liver disease, bilateral internal iliac artery embolization during operation, and maximum difference of intraoperative mean arterial pressure (MAP) in the complication group were higher than those in the non-complication group, while the preoperative hemoglobin level was lower (P<0.05). Logistic regression analysis showed that hypertension (OR=4.740, 95%CI: 1.828-12.287), liver disease (OR=1.357, 95%CI: 1.021-1.803), bilateral internal iliac artery embolization during operation (OR=3.607, 95%CI: 1.733-7.509), and maximum difference of intraoperative MAP (OR=2.881, 95%CI: 1.572-5.278) were risk factors for postoperative complications. Preoperative hemoglobin level was a protective factor (OR=0.641, 95%CI: 0.426-0.963), all P<0.05. The combined prediction model was logit (P) = -0.279 + 1.556 × hypertension + 0.305 × liver disease + 1.283 × bilateral internal iliac artery embolization + 1.058 × maximum difference of intraoperative MAP -0.445× preoperative hemoglobin. ROC curve showed that the area under the curve (AUC) of the model for predicting postoperative complications was 0.867, with a sensitivity of 72.5% and a specificity of 89.0%, which was superior to individual index prediction (Z=6.865, 12.302, 8.200, 1.976, 5.742, P<0.05).

The occurrence of complications after endovascular aortic repair of abdominal aortic aneurysm is closely related to hypertension, liver disease, bilateral internal iliac artery embolization during operation, maximum difference of intraoperative MAP, and preoperative hemoglobin level. The prediction model constructed based on the above indicators shows significant predictive efficiency for postoperative complications.