Abstract: Objective: To analyze the influencing factors of Intraoperative Acquired Pressure Injuries (IAPI) in patients undergoing posterior spinal surgery and construct a risk prediction model, aiming to provide a screening tool for such patients. Methods: A total of 435 patients who underwent posterior spinal surgery from November 2022 to March 2023 at a tertiary hospital in Nanchang were enrolled. Their clinical data were collected. Univariate and Logistic regression analysis were used to identify risk factors and construct a risk prediction model, followed by the creation of a nomogram. Results: IAPI occurred in 66 patients, with an incidence rate of 15.17%. Logistic regression analysis showed that age (OR=1.052), diabetes (OR=3.310), BMI (OR=2.977), spinal cord injury (OR=3.106), surgical duration (OR=1.027), and serum albumin (OR=0.874) were influencing factors for IAPI (P<0.05). The nomogram model had an AUC of 0.864 (95% CI: 0.820, 0.908), indicating good discrimination. The Hosmer-Lemeshow test showed χ2=3.004 and P=0.934, suggesting good model fit. The calibration curve demonstrated good agreement between predicted and observed probabilities of IAPI. Conclusion: The constructed risk prediction model for IAPI in patients undergoing posterior spinal surgery shows good predictive performance and holds clinical application value.

Key words: posterior spinal surgery; Intraoperative Acquired Pressure Injury; prediction model