Analysis of risk factors for spinal surgical site infections and establishment and validation of a column-line diagram
Objective:To identify risk factors for surgical site infection(SSI)in spinal surgery and develop a nomogram prediction model,providing a basis for post-operative wound management.Methods:To identify risk factors for surgical site infection(SSI)in spinal surgery and develop a nomogram prediction model,providing a basis for post-operative wound management.Results:Key risk factors identified were intraoperative bleeding,time to drain removal,and postoperative albumin≤30 g/L.The ROC AUCs for the training and validation groups were 0.775 and 0.754,respectively.Calibration curve analysis indicated close alignment of predicted and actual probabilities.DCA showed greater clinical utility in the training group.Conclusion:Intraoperative bleeding,drain removal time,and postoperative albumin≤30 g/L are significant risk factors for SSI in spinal surgery.The nomogram model demonstrates good predictive performance,offering an effective tool for clinical evaluation and improving prediction accuracy in postoperative infection risk.
spine surgerynomogrampredictive modelingnational early warning scoreinfection
NETL
NSTL
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