Stability and Accuracy of a Diagnosis of Parkinson Disease Over 10 Years.

IF 7.7 1区 医学 Q1 CLINICAL NEUROLOGY
Neurology Pub Date : 2025-05-13 Epub Date: 2025-04-04 DOI:10.1212/WNL.0000000000213499
Valtteri Räty, Tomi Kuusimäki, Joonas Majuri, Tero Vahlberg, Maria Gardberg, Tommi Noponen, Marko Seppänen, Anna-Maija Tolppanen, Valtteri Kaasinen
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引用次数: 0

Abstract

Background and objectives: Accurate diagnosis of Parkinson disease (PD) remains challenging, with variability and clinical uncertainty, especially in nonspecialized settings. Despite advancements in diagnostic criteria and biological markers, misdiagnosis continues to affect patient care and research. This study aimed to assess the long-term diagnostic stability of PD and evaluate the accuracy of initial diagnoses over time in a large, consecutive cohort diagnosed by neurologists, with or without movement disorder specialization.

Methods: We conducted a retrospective longitudinal analysis of patients diagnosed with PD between 2006 and 2020. Patient records were reviewed over a median follow-up period of 10 years, with more than half of the cohort tracked from motor symptom onset to death. Diagnostic evaluations included dopamine transporter (DAT) imaging and neuropathologic examinations for a subset of patients, based on clinical indications. Two movement disorder specialists cross-validated diagnoses through retrospective chart reviews.

Results: The cohort included 1,626 patients (mean age 69.0 years, 44.1% female). Of these, 10.6% (n = 172) had their diagnoses revised by treating neurologists, and 2.7% (n = 44) were revised based on chart reviews or neuropathologic findings. The median time to diagnosis revision was 22 months (interquartile range = 43). The most common revised diagnoses were vascular parkinsonism, progressive supranuclear palsy, and multiple system atrophy, with 4.7% (n = 77) classified as clinically undetermined parkinsonism. In a secondary analysis separating PD and dementia with Lewy bodies (DLB), the revision rate increased to 17.7%. DAT imaging had been performed on 588 patients and was more frequently used in revised cases. Postmortem neuropathologic examinations had been conducted in only 3% of deceased patients, with 64% confirming the initial PD diagnosis.

Discussion: This study demonstrates significant diagnostic instability in PD, with 13.3% of diagnoses revised, primarily within 2 years. When DLB is considered separately, the revision rate increases to 17.7%. Despite frequent DAT imaging and limited postmortem examinations, clinical uncertainty persists among practicing neurologists, contrasting with lower misdiagnosis rates in specialized centers. These findings highlight the need for systematic application of diagnostic criteria, regular reevaluation of diagnoses, more frequent autopsies, and the development of accessible diagnostic biomarkers.

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来源期刊
Neurology
Neurology 医学-临床神经学
CiteScore
12.20
自引率
4.00%
发文量
1973
审稿时长
2-3 weeks
期刊介绍: Neurology, the official journal of the American Academy of Neurology, aspires to be the premier peer-reviewed journal for clinical neurology research. Its mission is to publish exceptional peer-reviewed original research articles, editorials, and reviews to improve patient care, education, clinical research, and professionalism in neurology. As the leading clinical neurology journal worldwide, Neurology targets physicians specializing in nervous system diseases and conditions. It aims to advance the field by presenting new basic and clinical research that influences neurological practice. The journal is a leading source of cutting-edge, peer-reviewed information for the neurology community worldwide. Editorial content includes Research, Clinical/Scientific Notes, Views, Historical Neurology, NeuroImages, Humanities, Letters, and position papers from the American Academy of Neurology. The online version is considered the definitive version, encompassing all available content. Neurology is indexed in prestigious databases such as MEDLINE/PubMed, Embase, Scopus, Biological Abstracts®, PsycINFO®, Current Contents®, Web of Science®, CrossRef, and Google Scholar.
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