Comparative study of COPD double therapy versus triple therapy: an EGB data analysis

Study type

• Study topic:
  Disease /health condition

  Human medicinal product
• Study type:
  Non-interventional study
• Scope of the study:
  Drug utilisation
• Data collection methods:
  Secondary use of data

Non-interventional study

• Non-interventional study design:
  Cohort

Study drug and medical condition

• Medical condition to be studied:
  Chronic obstructive pulmonary disease

Population studied

• Short description of the study population:
  Patients hospitalized for Chronic obstructive pulmonary disease (COPD) and aged 45 and over.
• Age groups:
  Adults (46 to < 65 years)

  Adults (65 to < 75 years)

  Adults (75 to < 85 years)

  Adults (85 years and over)
• Special population of interest:
  Other
• Special population of interest, other:
  Chronic obstructive pulmonary disease (COPD) patients
• Estimated number of subjects:
  3089

Study design details

• Main study objective:
  To compare dual and triple therapies after COPD hospitalizations, on exacerbations, healthcare resource use, costs and persistence.
• Outcomes:
  exacerbations, Hospitalization MedicationsVisits to physicians Medical acts
• Data analysis plan:
  1:1 matching of the 2 cohortsMatching variables were the following:o Inclusion yearo Time between inclusion date and index date (+/- 5 days)o Incidence or not at the combination of dual or triple therapies.o Propensity scorePropensity score was calculated using a logistic regression model estimating the probability to be treated with a triple therapy, using the following confounding factors calculated in the 12 months before index date: o Age at inclusion dateo Gendero CMU-Co Number of COPD treatmentso Number of exacerbationso Number of visits to a general practitionero Number of visits to a respiratory physiciano Presence/absence of the following comorbidities: cardiovascular diseases, depression, cancer and diabeteso Use or non-use of oxygen therapyo Use or non-use of non-invasive ventilationComparison using a Wilcoxon test for matched data