Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages

Abstract Progressive supranuclear palsy (PSP) is a rare and rapidly progressing atypical parkinsonism. Albeit existing clinical criteria for PSP have good specificity and sensitivity, there is a need for biomarkers able to capture early objective disease-specific abnormalities. This study aimed to i...

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Autores principales: Marianna Amboni, Carlo Ricciardi, Marina Picillo, Chiara De Santis, Gianluca Ricciardelli, Filomena Abate, Maria Francesca Tepedino, Giovanni D’Addio, Giuseppe Cesarelli, Giampiero Volpe, Maria Consiglia Calabrese, Mario Cesarelli, Paolo Barone
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/fa390d462e7943688220817ee1b4d75d
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spelling oai:doaj.org-article:fa390d462e7943688220817ee1b4d75d2021-12-02T16:55:24ZGait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages10.1038/s41598-021-88877-22045-2322https://doaj.org/article/fa390d462e7943688220817ee1b4d75d2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88877-2https://doaj.org/toc/2045-2322Abstract Progressive supranuclear palsy (PSP) is a rare and rapidly progressing atypical parkinsonism. Albeit existing clinical criteria for PSP have good specificity and sensitivity, there is a need for biomarkers able to capture early objective disease-specific abnormalities. This study aimed to identify gait patterns specifically associated with early PSP. The study population comprised 104 consecutively enrolled participants (83 PD and 21 PSP patients). Gait was investigated using a gait analysis system during normal gait and a cognitive dual task. Univariate statistical analysis and binary logistic regression were used to compare all PD patients and all PSP patients, as well as newly diagnosed PD and early PSP patients. Gait pattern was poorer in PSP patients than in PD patients, even from early stages. PSP patients exhibited reduced velocity and increased measures of dynamic instability when compared to PD patients. Application of predictive models to gait data revealed that PD gait pattern was typified by increased cadence and longer cycle length, whereas a longer stance phase characterized PSP patients in both mid and early disease stages. The present study demonstrates that quantitative gait evaluation clearly distinguishes PSP patients from PD patients since the earliest stages of disease. First, this might candidate gait analysis as a reliable biomarker in both clinical and research setting. Furthermore, our results may offer speculative clues for conceiving early disease-specific rehabilitation strategies.Marianna AmboniCarlo RicciardiMarina PicilloChiara De SantisGianluca RicciardelliFilomena AbateMaria Francesca TepedinoGiovanni D’AddioGiuseppe CesarelliGiampiero VolpeMaria Consiglia CalabreseMario CesarelliPaolo BaroneNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Marianna Amboni
Carlo Ricciardi
Marina Picillo
Chiara De Santis
Gianluca Ricciardelli
Filomena Abate
Maria Francesca Tepedino
Giovanni D’Addio
Giuseppe Cesarelli
Giampiero Volpe
Maria Consiglia Calabrese
Mario Cesarelli
Paolo Barone
Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
description Abstract Progressive supranuclear palsy (PSP) is a rare and rapidly progressing atypical parkinsonism. Albeit existing clinical criteria for PSP have good specificity and sensitivity, there is a need for biomarkers able to capture early objective disease-specific abnormalities. This study aimed to identify gait patterns specifically associated with early PSP. The study population comprised 104 consecutively enrolled participants (83 PD and 21 PSP patients). Gait was investigated using a gait analysis system during normal gait and a cognitive dual task. Univariate statistical analysis and binary logistic regression were used to compare all PD patients and all PSP patients, as well as newly diagnosed PD and early PSP patients. Gait pattern was poorer in PSP patients than in PD patients, even from early stages. PSP patients exhibited reduced velocity and increased measures of dynamic instability when compared to PD patients. Application of predictive models to gait data revealed that PD gait pattern was typified by increased cadence and longer cycle length, whereas a longer stance phase characterized PSP patients in both mid and early disease stages. The present study demonstrates that quantitative gait evaluation clearly distinguishes PSP patients from PD patients since the earliest stages of disease. First, this might candidate gait analysis as a reliable biomarker in both clinical and research setting. Furthermore, our results may offer speculative clues for conceiving early disease-specific rehabilitation strategies.
format article
author Marianna Amboni
Carlo Ricciardi
Marina Picillo
Chiara De Santis
Gianluca Ricciardelli
Filomena Abate
Maria Francesca Tepedino
Giovanni D’Addio
Giuseppe Cesarelli
Giampiero Volpe
Maria Consiglia Calabrese
Mario Cesarelli
Paolo Barone
author_facet Marianna Amboni
Carlo Ricciardi
Marina Picillo
Chiara De Santis
Gianluca Ricciardelli
Filomena Abate
Maria Francesca Tepedino
Giovanni D’Addio
Giuseppe Cesarelli
Giampiero Volpe
Maria Consiglia Calabrese
Mario Cesarelli
Paolo Barone
author_sort Marianna Amboni
title Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
title_short Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
title_full Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
title_fullStr Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
title_full_unstemmed Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
title_sort gait analysis may distinguish progressive supranuclear palsy and parkinson disease since the earliest stages
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/fa390d462e7943688220817ee1b4d75d
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