“…Given our sample's moderate smoking history, we expected to nd effects similar to Ribeiro et al [23]. The role of nicotine in relieving motor symptoms is currently being discussed, and its association with symptomatic improvement in humans is still under debate [7,47]. Assuming that the respiratory changes result from these symptoms, it is reasonable to hypothesize that this relief could contribute to the absence of changes in R4 (Fig.…”
Section: Discussionmentioning
confidence: 75%
“…The neuroprotection of smoking related to nicotine, the main component of cigarettes, causing increased release and concentration of dopamine in the striatum in PD is well described in experimental models, including relieving motor symptoms. However, this relationship between symptomatic improvement in humans is still debated in the literature [7,47]. This relief of motor symptoms in the PGtab could lead to better performance in spirometry, assuming that the ventilatory changes result from these symptoms, which could justify the ndings.…”
Section: Discussionmentioning
confidence: 99%
“…The required sample size was calculated based on the results of a pilot study with a smaller number of patients [47]. Using MedCalc® software (MedCalc Software, Mariakerke, Belgium) and assuming 10% type I and type II errors in the group PG1-1.5, the minimum sample size was 13 volunteers in each group (controls and patients).…”
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 only quiet tidal breathing and provide a detailed analysis of respiratory mechanics. We hypothesized that oscillometry would simplify the diagnosis of respiratory abnormalities in 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 = 0.0004). In more advanced stages, a restrictive pattern is added, reflected by changes in dynamic compliance (p < 0.02) and resonance frequency (Fr; p < 0.0001). Smoking PD patients presented increased Rp (p = 0.00015) and Fr (p = 0.007). 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.
“…Given our sample's moderate smoking history, we expected to nd effects similar to Ribeiro et al [23]. The role of nicotine in relieving motor symptoms is currently being discussed, and its association with symptomatic improvement in humans is still under debate [7,47]. Assuming that the respiratory changes result from these symptoms, it is reasonable to hypothesize that this relief could contribute to the absence of changes in R4 (Fig.…”
Section: Discussionmentioning
confidence: 75%
“…The neuroprotection of smoking related to nicotine, the main component of cigarettes, causing increased release and concentration of dopamine in the striatum in PD is well described in experimental models, including relieving motor symptoms. However, this relationship between symptomatic improvement in humans is still debated in the literature [7,47]. This relief of motor symptoms in the PGtab could lead to better performance in spirometry, assuming that the ventilatory changes result from these symptoms, which could justify the ndings.…”
Section: Discussionmentioning
confidence: 99%
“…The required sample size was calculated based on the results of a pilot study with a smaller number of patients [47]. Using MedCalc® software (MedCalc Software, Mariakerke, Belgium) and assuming 10% type I and type II errors in the group PG1-1.5, the minimum sample size was 13 volunteers in each group (controls and patients).…”
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 only quiet tidal breathing and provide a detailed analysis of respiratory mechanics. We hypothesized that oscillometry would simplify the diagnosis of respiratory abnormalities in 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 = 0.0004). In more advanced stages, a restrictive pattern is added, reflected by changes in dynamic compliance (p < 0.02) and resonance frequency (Fr; p < 0.0001). Smoking PD patients presented increased Rp (p = 0.00015) and Fr (p = 0.007). 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.
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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