Study type

Study type

Non-interventional study

Scope of the study

Effectiveness study (incl. comparative)
Study drug and medical condition

Name of medicine

OFEV

Medical condition to be studied

Pulmonary fibrosis

Additional medical condition(s)

Connective tissue disease
Population studied

Age groups

  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

120
Study design details

Main study objective

The main objective of the study is to investigate the correlation between changes from baseline at Month 24 in FVC % pred. and changes from baseline at Month 24 in dyspnoea score points and cough score points as measured with the L-PF questionnaire over 24 months of nintedanib treatment in patients with CTD suffering from chronic fibrosing ILD with a progressive phenotype (excluding IPF).

Outcomes

• The correlation between changes from baseline at Month 24 in FVC % pred. and changes from baseline at Month 24 in dyspnoea symptom score points • The correlation between changes from baseline at Month 24 in FVC % pred. and changes from baseline at Month 24 in cough symptom score points, • The correlation between change from baseline at Month 24 in FVC mL and change from baseline at Month 24 in dyspnoea symptom score • The correlation between change from baseline at Month 24 in FVC mL and change from baseline at Month 24 in cough symptom score • The correlation between baseline FVC % pred and change in dyspnoea symptom score from baseline at Month 24

Data analysis plan

Continuous characteristics will be presented in the form of mean values (SD) and/ or median values (IQR, expressed in the form 25th– 75th percentile), depending on the fulfilment of the normality assumption for their distribution. The normality assumption will be examined via graphical means (PP – plot, QQ – plot, and Histograms) alongside the statistical tests of Kolmogorov-Smirnov and Shapiro-Wilk, depending on the available valid sample size available for every variable examined. Categorical characteristics will be presented in the form of absolute (N) and relative frequencies (%). For the analysis of the primary outcome, the Pearson and/or the Spearman correlation coefficient (depending on the fulfilment of the normality assumption of their distribution) will be calculated, along with their 95% confidence intervals and the two-sided p-values. The respective null hypothesis will be rejected in case if p ≤ 0.025 (Bonferroni correction for mult