Study type

Study topic

DiseaseĀ /health condition

Study type

Non-interventional study

Scope of the study

Disease epidemiology
Drug utilisation
Healthcare resource utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Other

Non-interventional study design, other

Retrospective longitudinal study
Study drug and medical condition

Medical condition to be studied

Pulmonary hypertension
Chronic respiratory disease
Interstitial lung disease
Pulmonary arterial hypertension
Population studied

Short description of the study population

The study focused on two main cohorts and a subgroup: group 1 patients with pulmonary arterial hypertension (PAH) cohort, group 3 patients with pulmonary arterial hypertension (PAH) and/or hypoxia cohort, and subgroup 3.2 of patients with pulmonary hypertension associated with interstitial lung disease.

Age groups

Adults (18 to < 46 years)
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

Patients with hypertension and lung disease

Estimated number of subjects

15000
Study design details

Main study objective

To estimate prevalence and incidence of PH with lung diseases and/or hypoxia (PH-LD) and PH with interstitial lung disease (PH-ILD) in Germany, France, and the UK. To characterize baseline characteristics, comorbidities, resource use, and real-world outcomes of PH-LD and PH-ILD patients. To describe treatment patterns of three cohorts: pulmonary arterial hypertension (PAH), PH-LD, and PH-ILD.

Outcomes

1. Estimation of the prevalence and incidence of PH-LD and PH-ILD in Germany, France, and the UK. - 2. The characterization of the treatment patterns of PAH, PH-LD, and the sub-group PH-ILD patients, 1. Estimation of burden of disease of PH-LD and PH-ILD patients in terms of resource use and costs, evaluating hospital care (inpatient and outpatient), expenditure on tests, procedures, diagnostics, and medications. - 2. Characterization of the patient profile, real-world outcomes in terms of demographic and clinical characteristics, comorbidity burden, survival rate, yearly hospitalization rate

Data analysis plan

The queries, management and statistical analysis of the data used will be developed by Alira Health using R and RStudio software or Python for France and UK databases, whereas for the German claims data, SAS and Excel will be used. Descriptive statistics will be presented for all evaluation criteria for each population, as follows: - Quantitative variables a. Quantitative variables will be described with standard statistics including, the mean, standard deviation (SD), median, quartiles, and minimum and maximum. The number of patients with missing data will be reported for each variable and will be described accordingly. Quantitative variables may be categorized into quantiles as required. - Categorical variables - Counts and percentages will be computed for categorical variables. - If relevant, all statistical tests will be two-sided and considered significant at the 5% level. A more detailed Statistical Analysis Plan of the study will be developed.