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Predictive Model Development for Postoperative Complications in Trigeminal Neuralgia Patients Undergoing Percutaneous
Yihui Du1, Wenchang Guo1, Yinzhan Wang1
1Department of Neurosurgery, Hebei General Hospital, Shijiazhuang, China.
World Neurosurgery
|January 16, 2026
Summary
This study identified key risk factors for trigeminal neuralgia (TN) patients after percutaneous balloon compression (PBC). A predictive model helps assess risks and plan preventive strategies for better patient outcomes.
Area of Science:
- Neurosurgery
- Pain Management
- Medical Statistics
Background:
- Trigeminal neuralgia (TN) patients undergoing percutaneous balloon compression (PBC) face risks of postoperative complications.
- Identifying influencing factors and preventive strategies is crucial for managing these complications.
Purpose of the Study:
- To analyze risk factors associated with postoperative complications in TN patients after PBC.
- To develop a predictive model for these complications.
Main Methods:
- Retrospective analysis of 164 TN patients who underwent PBC.
- Utilized LASSO regression and multivariate logistic regression to identify risk factors.
- Developed a predictive model for postoperative complications.
Main Results:
- Nerve branches, hypertension, compression duration, and CD4+ levels showed significant differences between complication and non-complication groups.
- Independent risk factors identified: nerve branches, diabetes, compression duration, and CD4+ levels.
- The predictive model demonstrated good discriminatory power (AUC=0.793) and calibration.
Conclusions:
- A predictive model for postoperative complications in TN patients undergoing PBC was established.
- This model provides a framework for preoperative risk assessment.
- Enables tailored preventive interventions for improved patient care.
Keywords:
ComplicationsLogistic regressionPercutaneous balloon compressionPredictive modelTrigeminal neuralgia
