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

Abstract

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 affecting SEP, with statistically significant differences (P＜0.05). In the validation of the model, the AUC of the column-line plot was 0.914, indicating that the model had good discrimination. The optimal calibration curve showed good agreement between predicted and actual values. The clinical decision curve attested to the practical efficacy of the model. Conclusion Factors affecting changes in SEP include overweight, hemorrhage, body temperature, and the use of electrosurgical equipment. The construction of a column chart to forecast SEP changes empowers spinal physicians to implement proactive therapeutic interventions effectively, concurrently enhancing the precision of electrophysiological monitoring.

Keywords

• somatosensory evoked potentials
• decompression laminectomy line graphs
• overweight
• bleeding volume
• body temperature
• electrophysiology