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Cross-sectional analysis investigates respiratory system parameters in cystic fibrosis, revealing links to disease severity and genetic factors.
This study aimed to investigate the relationship between respiratory system parameters and clinical markers in individuals with cystic fibrosis (CF), as well as to compare individuals with altered oscillometric parameters to those with values within normal range. This cross-sectional analytical study involved children and adolescents with CF. Data collected included anthropometric measurements, disease severity, bacterial colonization, genetic mutations, and parameters from impulse oscillometry (IOS) and spirometry. A total of 115 evaluations were conducted. Correlation was found between respiratory system parameters and the association of total airway resistance (R5) and 5 Hz reactance (X5) with genetic mutations, BMI percentiles, and disease severity. Significant differences were observed between the TypicalX5 and AlteredX5 groups (FEV1% and FEF25-75%, p<0.001) and the TypicalR5 and AlteredR5 groups (FEV1% and FEF25-75%, p<0.001). Height, FEV1 (L), and FEF25-75% (L) explained 69.2% of variations in X5 (kPa), while height and FEV1 (L) together explained 68.2% of variations in R5. Conclusion: This study verified the relationship between spirometric and oscillometric parameters, and found that R5 and X5 are linked to genetic mutation, BMI percentile, and disease severity. Routine spirometry, as well as weight and height assessment, are essential in the management of lung disease.
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Castilho et al. (2025) studied this question.
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