| 王佳明，田雨，冯兆海，王西宪，石鑫，姜磊，郝玉军.预测面肌痉挛微血管减压术后
迟发性面瘫发生风险列线图的建立及评价[J].神经损伤功能重建,2023,(7):387-390 |
| 预测面肌痉挛微血管减压术后
迟发性面瘫发生风险列线图的建立及评价 |
| Establishment and Evaluation of a Nomogram for Predicting the Occurrence of Delayed FacialPalsy after Microvascular Decompression for Hemifacial Spasm |
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| DOI： |
| 中文关键词: 迟发性面瘫 风险预测模型 列线图 模型验证 |
| 英文关键词: delayed facial palsy risk forecasting model nomograms model validation |
| 基金项目: |
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| 摘要点击次数: 1665 |
| 全文下载次数: 2001 |
| 中文摘要: |
| 目的：评估微血管减压术（microvascular decompression，MVD）治疗面肌痉挛（hemifacial spasm，HFS）
后迟发性面瘫（delayed facial palsy，DFP）的发生率，确定对DFP发生最重要的影响因素，并建立DFP发生的
预测模型。 方法：2015年9月至2020年6月，我院共收治HFS并行MVD术的HFS患者400例。出现DFP
48例（12%），收集患者的临床资料，应用LASSO-Logistic回归分析建立一个预测模型。使用C指数、ROC
（受试者工作曲线）、calibration校正曲线来评估预测模型的鉴别、校准和预测性能。 结果：预测列线图中包
含的预测因素包括年龄、性别、有无面神经压迹、症状侧别、高血压和糖尿病。对模型进行内部验证发现，C
指数为 0.869（95%CI 0.805～0.933），说明模型具有良好的区分度；建模组和验证组的校准曲线与标准曲线
均极为接近，具有良好的校准度。结论：高血压和面神经压迹可能是MVD术后发生DFP的危险因素。基
于列线图的MVD术后DFP发生风险决策模型具有良好的区分度和准确度。 |
| 英文摘要: |
| To investigate the incidence of delayed facial palsy (DFP) after microvascular
decompression (MVD) for hemifacial spasm (HFS), identify the most important factors affecting the occurrence
of DFP, and establish a prediction model for DFP occurrence. Methods: A total of 400 patients with HFS were
admitted to our hospital and underwent MVD between September 2015 and June 2020. Among them, 48
patients (12% ) developed DFP. The clinical data of the patients were collected, and a prediction model was
established by LASSO-Logistic regression analysis. The discrimination, calibration, and predictive performance
of the prediction model were assessed using C index, receiver operating characteristic (ROC) curve, and
calibration curve. Results: The predictive factors in the prediction nomogram included age, sex, presence of
facial nerve pressure trace, symptom laterality, hypertension, and diabetes mellitus. Internal validation of the
model revealed a C index of 0.869 (95% CI 0.805～0.933), indicating good discrimination of the model; the
calibration curves of both the modeling and validation groups were extremely close to the standard curves,
indicating good calibration performance. Conclusion: Hypertension and facial nerve pressure trace may be risk
factors for the occurrence of DFP after MVD. The nomogram-based risk prediction model of DFP after MVD
has good discrimination and accuracy. |
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