CFTR Modulators Therapy Efficacy in Reducing Cystic Fibrosis (CF) Exacerbation and Improving Selected Spirometry Parameters: A Real-Life Study in a Single-Centre Polish Population.
Hanna M WiniarskaDaria SpringerFilip WojtaśEwa WysockaSzczepan CoftaPublished in: Journal of clinical medicine (2024)
Background/Objectives: Cystic fibrosis is a genetically determined disease that significantly influences and shortens life. Treatment with CFTR modulators (CFTR-T) is a new hope for patients. It can change the predictive values of a poor prognosis (e.g., exacerbation rate and FEV1 value). The aim of the study was to analyse exacerbation incidence and spirometry data before and after one year (+/- 2 weeks) of CFTR-T in 85 CF patients at the CF Centre in Poznań. To our knowledge, this is the first analysis of CFTR-T efficiency in the Central-Eastern Europe population. Methods : We retrospectively analysed the spirometry and exacerbation data of 85 CF adult patients (both men and women), who in the middle of 2022 began treatment with CFTR modulators. Results : The one-year ratio of hospitalisation caused by severe exacerbations lowered from 1.25 to 0.21 per patient per year. We also saw a 66% decline in ambulatory exacerbations. The median FEV1% increased by 9.60% in absolute values and by 460 mL. Even in the group with very severe obstruction (FEV1 < 35%), there was an increase in median FEV1% of 5.9 in absolute values. We also proved the increase in FVC% (median 17.10% in absolute value and 600 mL) in the study group. Conclusions : After one year of treatment, an impressive improvement was observed in two important predictive values of poor prognosis: exacerbation rate and FEV1 values. Further observation is needed to determine how long the improvement will be present and its influence on quality of life and life expectancy.
Keyphrases
- cystic fibrosis
- lung function
- poor prognosis
- pseudomonas aeruginosa
- chronic obstructive pulmonary disease
- long non coding rna
- small molecule
- healthcare
- early onset
- blood pressure
- electronic health record
- intensive care unit
- newly diagnosed
- stem cells
- south africa
- big data
- machine learning
- combination therapy
- case report
- chronic kidney disease
- bone marrow
- prognostic factors
- cell therapy
- replacement therapy
- drug induced
- extracorporeal membrane oxygenation
- deep learning
- data analysis