To develop and internally validate a nomogram for predicting 1-year recurrence after CT-guided facial nerve radiofrequency ablation in Meige syndrome patients.
Approach:
Study Design: Retrospective analysis of 119 patients with Meige syndrome who underwent CT-guided facial nerve radiofrequency ablation.
Statistical Analysis: Lasso regression and multivariate logistic regression were used to identify independent factors associated with postoperative recurrence.
Nomogram Construction: A nomogram was constructed based on identified predictors and validated using bootstrap resampling.
Key Findings:
Independent factors influencing recurrence include the Jankovic Rating score (JRS), disease duration, and final temperature.
The nomogram achieved an area under the ROC curve (AUC) of 0.932 (95% CI: 0.912–0.958).
Calibration curves showed excellent agreement between predicted probabilities and actual observed values.
Decision curve analysis indicated a higher net benefit for the nomogram predictive model.
Interpretation:
Limitations:
The study is retrospective and may have inherent biases that could affect the results.
The sample size may limit the generalizability of the findings.
Conclusion:
The nomogram aids in identifying high-risk postoperative patients and assists in clinical decision-making.
