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DOI 10.3389/fnagi.2023.1232387

Медицинская библиотека · Frontiers in aging neuroscience · 2023

Identifying prodromal symptoms at high specificity for Parkinson's disease.

Jackson Holly, Anzures-Cabrera Judith, Simuni Tanya, Postuma Ronald B, Marek Kenneth, Pagano Gennaro

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Аннотация

INTRODUCTION

To test drugs with the potential to prevent the onset of Parkinson's disease (PD), it is key to identify individuals in the general population at high risk of developing PD. This is often difficult because most of the clinical markers are non-specific, common in PD but also common in older adults (e.g., sleep problems).

OBJECTIVE

We aimed to identify the clinical markers at high specificity for developing PD by comparing individuals with PD or prodromal PD to healthy controls.

METHODS

We investigated motor and non-motor symptoms (Movement Disorder Society Unified Parkinson's Disease Rating Scale Part 1 and 2 items) in 64 prodromal PD and 422 PD individuals calculating the odds ratios, adjusting for age and gender, for PD and prodromal PD versus 195 healthy controls. Symptoms at high specificity were defined as having an adjusted odds ratio ≥ 6.

RESULTS

Constipation had an adjusted odds ratio, 6.14 [95% CI: 2.94-12.80] showing high specificity for prodromal PD, and speech difficulties had an adjusted odds ratio, 9.61 [95% CI: 7.88-48.81] showing high specificity for PD. The proportion of participants showing these specific markers was moderate (e.g., prevalence of constipation was 43.75% in prodromal PD, and speech difficulties was 33.89% in PD), suggesting these symptoms may make robust predictors of prodromal PD and PD, respectively.

DISCUSSION: Clinical markers at high specificity for developing PD could be used as tools in the screening of general populations to identify individuals at higher risk of developing PD.

Для цитирования: Jackson Holly, Anzures-Cabrera Judith, Simuni Tanya, Postuma Ronald B, Marek Kenneth, Pagano Gennaro. Identifying prodromal symptoms at high specificity for Parkinson's disease.. Frontiers in aging neuroscience. 2023. DOI: 10.3389/fnagi.2023.1232387.
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