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Oscillometry of the respiratory system in Parkinson's disease: physiological changes and diagnostic use.
Caldas, Bruno Tavares; Ribeiro, Fernando Carlos Vetromille; Pereira, João Santos; Souza, Wilma Costa; Lopes, Agnaldo José; de Melo, Pedro Lopes.
Afiliação
  • Caldas BT; Department of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Ribeiro FCV; Department of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Pereira JS; Department of Neurology, Pedro Ernesto University Hospital, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Souza WC; Carioca Parkinson Association, Municipal Rehabilitation Center, Rio de Janeiro, Brazil.
  • Lopes AJ; Department of Pulmonology, Respiratory Function Testing Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • de Melo PL; Department of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil. plopes@uerj.br.
BMC Pulm Med ; 23(1): 406, 2023 Oct 26.
Article em En | MEDLINE | ID: mdl-37884922
BACKGROUND: Lung function analysis in Parkinson's disease (PD) is often difficult due to the demand for adequate forced expiratory maneuvers. Respiratory oscillometry exams require onlyquiet tidal breathing and provide a detailed analysis of respiratory mechanics. We hypothesized that oscillometry would simplify the diagnosis of respiratory abnormalitiesin PD and improve our knowledge about the pathophysiological changes in these patients. MATERIALS AND METHODS: This observational study includes 20 controls and 47 individuals with PD divided into three groups (Hoehn and Yahr Scale 1-1.5; H&Y scale 2-3 and PD smokers).The diagnostic accuracy was evaluated by investigating the area under the receiver operating characteristic curve (AUC). RESULTS: Initial stages are related to increased peripheral resistance (Rp; p = 0.001). In more advanced stages, a restrictive pattern is added, reflected by reductions in dynamic compliance (p < 0.05) and increase in resonance frequency (Fr; p < 0.001). Smoking PD patients presented increased Rp (p < 0.001) and Fr (p < 0.01). PD does not introduce changes in the central airways. Oscillometric changes were correlated with respiratory muscle weakness (R = 0.37, p = 0.02). Rp showed adequate accuracy in the detection of early respiratory abnormalities (AUC = 0.858), while in more advanced stages, Fr showed high diagnostic accuracy (AUC = 0.948). The best parameter to identify changes in smoking patients was Rp (AUC = 0.896). CONCLUSION: The initial stages of PD are related to a reduction in ventilation homogeneity associated with changes in peripheral airways. More advanced stages also include a restrictive ventilatory pattern. These changes were correlated with respiratory muscle weakness and were observed in mild and moderate stages of PD in smokers and non-smokers. Oscillometry may adequately identify respiratory changes in the early stages of PD and obtain high diagnostic accuracy in more advanced stages of the disease.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Transtornos Respiratórios Limite: Humans Idioma: En Revista: BMC Pulm Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Transtornos Respiratórios Limite: Humans Idioma: En Revista: BMC Pulm Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido