Study type

Study topic

DiseaseĀ /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Case-control
Study drug and medical condition

Study drug International non-proprietary name (INN) or common name

TESTOSTERONE

Anatomical Therapeutic Chemical (ATC) code

(G03BA03) testosterone
testosterone

Medical condition to be studied

Hypogonadism male
Population studied

Short description of the study population

All male individuals aged 18 years or older in the source population with a first testosterone use during the study period.

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)

Estimated number of subjects

23000
Study design details

Main study objective

To investigate if testosterone is preferentially given to patients at higher risk profile for cardiovascular events.

Outcomes

Estimation of the association between cardiovascular risk factors and initiation of testosterone therapy

Data analysis plan

The study uses a case-control design. Cases will be ascertained using product and Read medical codes indicating testosterone use. Up to five controls will be drawn from the source population for each case, matched on year of birth, history of pathological hypogonadism (primary or secondary) and GP consultation ±30 days of the index day of the respective case. Descriptive statistics of demographic and baseline clinical characteristics on the index day will be presented for cases and matched controls, including lifestyle factors, pathological hypogonadism (primary or secondary), symptoms associated with hypogonadism, comorbidities, comedications and cardiovascular (CV) risk factors. Crude and adjusted odds ratios (OR) with 95% confidence intervals of the association between CV factors and initiation of testosterone therapy will be estimated using conditional logistic regression for matched case-control data. Results will be stratified by history of pathological hypogonadism.