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识别长期接受左旋多巴治疗的中国帕金森病患者剂末现象和异动症的风险因素并构建预测模型

Identifying Risk Factors and Constructing Predictive Models for Wearing-Off and Dyskinesia in Chinese Patients With Parkinson's Disease on Long-Term Levodopa Therapy.

作者信息

Zhao Jing, Gao Yunlei, Shi Chong, Chen Jia, Wang Yanhong, Chen Jiaqi, Ma Shaochen, Wang Peifu, Li Jilai, Du Jichen, Wan Zhirong

机构信息

Department of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.

Department of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.

出版信息

CNS Neurosci Ther. 2025 Aug;31(8):e70544. doi: 10.1111/cns.70544.

Abstract

AIMS

This study aimed to investigate the incidence and risk factors of motor complications including wearing-off (WO) and dyskinesia during long-term levodopa (LD) therapy in Chinese patients with Parkinson's disease (PD), and develop corresponding predictive models, thereby providing a basis for personalized treatment strategies.

METHODS

This cross-sectional study included 208 consecutive PD patients who were recruited. The presence of WO and dyskinesia was assessed by a 9-item wearing-off questionnaire and the Unified Parkinson's Disease Rating Scale part IV. Univariate and multivariate logistic regression analyses were used to predict the risk factors of WO and dyskinesia. Predictive models for WO and dyskinesia were then constructed, and their diagnostic performance was evaluated using the area under the curve (AUC).

RESULTS

The overall prevalence rate of motor complications was 46.2% (96/208), with a prevalence of 45.7% (95/208) for WO, 22.1% (46/208) for dyskinesia, and 21.6% (45/208) for the simultaneous occurrence of WO and dyskinesia. Younger age at onset (OR 0.92, p < 0.001), higher levodopa-equivalent daily dose (LEDD) (OR 1.00, p < 0.001), and higher Hoehn-Yahr stage (OR 3.41, p < 0.001) were independent risk factors for WO. A predictive model for WO constructed using these three variables demonstrated high diagnostic efficacy with an AUC of 0.887 (95% CI 0.842-0.932), a sensitivity of 84%, and a specificity of 83%. The independent risk factors for dyskinesia included younger age at onset (OR 0.94, p < 0.001), akinetic-rigid type (OR 2.42, p = 0.034), and higher LEDD (OR 1.01, p < 0.001). A predictive model for dyskinesia constructed using these three variables yielded an AUC value of 0.829 (95% CI 0.767-0.897), with a sensitivity of 67% and a specificity of 89%. The two models were both well calibrated and had a high net clinical benefit.

CONCLUSION

Our findings suggest that the prevalence of motor complications during long-term LD treatment is relatively high among PD patients in China, with WO occurring more commonly than dyskinesia. Younger age at PD onset, higher LEDD, more severe disease, and akinetic-rigid subtype are key predictors of motor complications. The predictive models developed in this study could serve as a potential tool to assist clinicians in identifying patients at higher risk for WO and dyskinesia, and may support personalized treatment optimization.

摘要

目的

本研究旨在调查中国帕金森病(PD)患者长期左旋多巴(LD)治疗期间运动并发症(包括剂末现象(WO)和异动症)的发生率及危险因素,并建立相应的预测模型,从而为个性化治疗策略提供依据。

方法

本横断面研究纳入了连续招募的208例PD患者。通过一份9项剂末现象问卷和统一帕金森病评定量表第四部分评估剂末现象和异动症的存在情况。采用单因素和多因素逻辑回归分析来预测剂末现象和异动症的危险因素。然后构建剂末现象和异动症的预测模型,并使用曲线下面积(AUC)评估其诊断性能。

结果

运动并发症的总体患病率为46.2%(96/208),其中剂末现象的患病率为45.7%(95/208),异动症的患病率为22.1%(46/208),剂末现象和异动症同时出现的患病率为21.6%(45/208)。发病年龄较小(OR 0.92,p < 0.001)、较高的左旋多巴等效日剂量(LEDD)(OR 1.00,p < 0.001)和较高的Hoehn-Yahr分期(OR 3.41,p < 0.001)是剂末现象的独立危险因素。使用这三个变量构建的剂末现象预测模型显示出较高的诊断效能,AUC为0.887(95%CI 0.842 - 0.932),敏感性为84%,特异性为83%。异动症的独立危险因素包括发病年龄较小(OR 0.94,p < 0.001)、少动-强直型(OR 2.42,p = 0.034)和较高的LEDD(OR 1.01,p < 0.001)。使用这三个变量构建的异动症预测模型的AUC值为0.829(95%CI 0.767 - 0.897),敏感性为67%,特异性为89%。这两个模型校准良好且具有较高的净临床效益。

结论

我们的研究结果表明,在中国PD患者中,长期LD治疗期间运动并发症的患病率相对较高,剂末现象比异动症更常见。PD发病年龄较小、较高的LEDD、病情更严重以及少动-强直亚型是运动并发症的关键预测因素。本研究中开发的预测模型可作为一种潜在工具,帮助临床医生识别剂末现象和异动症风险较高的患者,并可能支持个性化治疗优化。

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