Development and validation of a nomogram for predicting recurrence in patients with Meige syndrome after radiofrequency ablation - Report - MDSpire

Development and validation of a nomogram for predicting recurrence in patients with Meige syndrome after radiofrequency ablation

  • By

  • Xiang Xu

  • Tao Wang

  • Zi Wang

  • July 14, 2026

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Clinical Report: Creation and validation of a nomogram for Meige syndrome

Overview

This study developed and validated a nomogram to predict 1-year recurrence after radiofrequency ablation in patients with Meige syndrome. Key independent factors influencing recurrence included the Jankovic Rating score, disease duration, and final temperature.

Background

Meige syndrome is a rare cranial dystonia characterized by blepharospasm and oromandibular dystonia, primarily affecting individuals aged 40 to 70 years. Current treatment options include oral medications, botulinum toxin injections, and surgical interventions, with radiofrequency ablation emerging as a therapeutic option. Recurrence remains a significant concern.

Data Highlights

FactorInfluence on Recurrence
Jankovic Rating Score (JRS)Independent predictor
Disease DurationIndependent predictor
Final TemperatureIndependent predictor
AUC for Nomogram0.932 (95% CI: 0.912–0.958)

Key Findings

  • A nomogram was developed to predict 1-year recurrence after radiofrequency ablation in Meige syndrome patients.
  • Independent factors influencing recurrence include the Jankovic Rating score, disease duration, and final temperature.
  • The nomogram demonstrated an AUC of 0.932, indicating high accuracy.
  • 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.

Clinical Implications

The nomogram can assist clinicians in identifying high-risk patients for postoperative recurrence.

Conclusion

The study constructed a nomogram for recurrence in Meige syndrome patients post-ablation.

Related Resources & Content

  1. Huang et al., Frontiers in Cardiovascular Medicine, 2026 -- Construction of a regression model and post-procedure care strategy for predicting atrial fibrillation recurrence risk after radiofrequency ablation using combined P-wave electrocardiographic markers and serum
  2. Development and validation of a multimodality radiomics-based nomogram for predicting HER2 expression status in invasive breast cancer, Frontiers in Oncology, 2026
  3. A predictive nomogram for overall and disease-free survival following curative gastrectomy in gastric cancer patients, Updates in Surgery, 2021
  4. The aMAP score improves discrimination of prognostic models in hepatocellular carcinoma after radiofrequency ablation, Frontiers in Oncology, 2026
  5. Definition and Classification of Dystonia - Albanese - 2025 - Movement Disorders - Wiley Online Library
  6. Efficacy comparison and outcome predictors of GPi- and STN-targeted deep brain stimulation for Meige syndrome: a systematic review of individual patient data - PubMed
  7. Computed tomography-navigated radiofrequency ablation for Meige's syndrome: A game-changer in treatment - ScienceDirect
  8. Definition and Classification of Dystonia - Albanese - 2025 - Movement Disorders - Wiley Online Library
  9. Efficacy comparison and outcome predictors of GPi- and STN-targeted deep brain stimulation for Meige syndrome: a systematic review of individual patient data - PubMed
  10. Computed tomography-navigated radiofrequency ablation for Meige's syndrome: A game-changer in treatment - ScienceDirect

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