Respiratory dysfunction in Parkinson's disease: a narrative review
Autor: | Tommaso Bocci, Francesca Bartesaghi, Andrea Maria D'Arrigo, Stefano Floro, Stefano Centanni, Giuseppe Francesco Sferrazza Papa, Alberto Priori, Chiara Casellato |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Pulmonary and Respiratory Medicine
0303 health sciences medicine.medical_specialty Parkinson's disease business.industry Incidence (epidemiology) lcsh:R Respiratory dysfunction lcsh:Medicine Disease Review medicine.disease Ventilatory control 03 medical and health sciences 0302 clinical medicine medicine Narrative review Atypical Parkinsonism Respiratory system business Intensive care medicine 030217 neurology & neurosurgery 030304 developmental biology |
Zdroj: | ERJ Open Research article-version (VoR) Version of Record ERJ Open Research, Vol 6, Iss 4 (2020) |
ISSN: | 2312-0541 |
Popis: | The presence of respiratory symptoms in Parkinson's disease (PD) has been known since the first description of the disease, even though the prevalence and incidence of these disturbances are not well defined. Several causes have been reported, comprising obstructive and restrictive pulmonary disease and changes in the central ventilatory control, and different pathogenetic mechanisms have been postulated accordingly. In our review, we encompass the current knowledge about respiratory abnormalities in PD, as well as the impact of anti-Parkinsonian drugs as either risk or protective factors. A description of putative pathogenetic mechanisms is also provided, and possible treatments are discussed, focusing on the importance of recognising and treating respiratory symptoms as a key manifestation of the disease itself. A brief description of respiratory dysfunctions in atypical Parkinsonism, especially α-synucleinopathies, is also provided. This review addresses current knowledge about respiratory dysfunctions in Parkinson's disease, from the aetiopathology to pharmacological and invasive treatments, describing the different clinical phenotypes https://bit.ly/2X7OLtN |
Databáze: | OpenAIRE |
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