Establishment of a predictive model for somatosensory evoked potentials during decompression laminectomy

Objective To explore the influencing factors affecting somatosensory evoked potential (SEP) during decompression laminectomy and to establish a prediction model. b>Methods The SEP monitoring data from 120 patients with spinal stenosis who underwent decompression laminectomy at the Spinal Orthopedics Department of Ma'anshan People's Hospital from January 2021 to January 2023 were analyzed retrospectively. Patients were divided into SEP-altered group (n=21) and control group (n=99) based on the presence or absence of SEP signal alteration. Predictors were determined using Lasso regression, cross-validation, logistic regression analysis. A column-line plot predicting change in SEP based on independent predictors was drawn. Receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves were used to evaluate the model. Results Logistic regression analysis indicated that overweight, hemorrhage, body temperature, and use of electrosurgical equipment were independent risk factors aff