Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
| Autor: | Maria Francesca Tepedino, Mario Cesarelli, Filomena Abate, Giuseppe Cesarelli, Paolo Barone, Gianluca Ricciardelli, Marianna Amboni, Giovanni D'Addio, Chiara De Santis, Maria Consiglia Calabrese, Giampiero Volpe, Marina Picillo, Carlo Ricciardi |
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| Přispěvatelé: | Amboni, M., Ricciardi, C., Picillo, M., De Santis, C., Ricciardelli, G., Abate, F., Tepedino, M. F., D'Addio, G., Cesarelli, G., Volpe, G., Calabrese, M. C., Cesarelli, M., Barone, P. |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Male medicine.medical_specialty Logistic Model medicine.medical_treatment Science Disease Logistic regression Article Progressive supranuclear palsy Diagnosis Differential 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Medical research medicine Humans Aged Multidisciplinary Rehabilitation business.industry Cognition Parkinson Disease Middle Aged medicine.disease Gait eye diseases 030104 developmental biology Logistic Models Neurology Gait analysis Biomarker (medicine) Medicine Female Supranuclear Palsy Progressive business Gait Analysis 030217 neurology & neurosurgery Biomarkers Human Neuroscience |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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