预测建模揭示帕金森病延迟诊断的特征

IF 6.7 1区医学 Q1 NEUROSCIENCES

NPJ Parkinson's Disease Pub Date : 2025-04-02 DOI:10.1038/s41531-025-00923-2

Tom Hähnel, Tamara Raschka, Jochen Klucken, Enrico Glaab, Jean-Christophe Corvol, Björn H. Falkenburger, Holger Fröhlich

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引用次数: 0

摘要

PD患者表现出多种症状，使及时诊断复杂化。我们使用一种新颖的基于模型的方法分析了1124例PD轨迹，以估计与队列平均值相比诊断是早还是晚。较高的年龄、特定的非运动症状和快速的疾病进展与较晚的诊断有关，而步态障碍导致较早的诊断。我们的研究结果与PD的生物学定义一致，超越了经典的运动症状。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Predictive modeling to uncover Parkinson’s disease characteristics that delay diagnosis

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Predictive modeling to uncover Parkinson’s disease characteristics that delay diagnosis

PD patients present with diverse symptoms, complicating timely diagnosis. We analyzed 1124 PD trajectories using a novel model-based approach to estimate whether diagnosis was early or late compared to cohort averages. Higher age, specific non-motor symptoms, and fast disease progression were linked to later diagnosis, while gait impairment led to earlier diagnosis. Our findings are in line with a biological definition of PD that extends beyond classical motor symptoms.

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来源期刊

NPJ Parkinson's Disease Medicine-Neurology (clinical)

CiteScore

9.80

自引率

5.70%

发文量

156

审稿时长

11 weeks

期刊介绍： npj Parkinson's Disease is a comprehensive open access journal that covers a wide range of research areas related to Parkinson's disease. It publishes original studies in basic science, translational research, and clinical investigations. The journal is dedicated to advancing our understanding of Parkinson's disease by exploring various aspects such as anatomy, etiology, genetics, cellular and molecular physiology, neurophysiology, epidemiology, and therapeutic development. By providing free and immediate access to the scientific and Parkinson's disease community, npj Parkinson's Disease promotes collaboration and knowledge sharing among researchers and healthcare professionals.