Study type

Study topic

DiseaseĀ /health condition

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology

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

Acute myocardial infarction
Population studied

Short description of the study population

Myocardial infarction patients with 12-month dual antiplatelet treatment.

Age groups

Adolescents (12 to < 18 years)
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

Myocardial infarction patients

Estimated number of subjects

44000
Study design details

Main study objective

The main objective is to describe the risk development and risk factors of subsequent cardiovascular events in patients discharged from hospital after myocardial infarction. We study all patients alive one week after the discharge, and because the mortality is high during the first year, the main focus is in patients surviving without subsequent myocardial infarction or stroke more than one year.

Outcomes

Myocardial infarction (ICD-10 I21-I22), Stroke (total) (ICD-10 I61-64), Cardiovascular mortality (death due to ICD-10 I21-I22, I61-64, I50, I48, I20.0), Composite end-point (deaths due to MI, stroke or cardiovascular mortality causes specified above), Overall mortality (death from any cause), Heart failure (ICD-10 I50), Atrial fibrillation (ICD-10 I48), Unstable angina pectoris (ICD-10 I20.0), Major bleedings (ICD-10 D62, D68.3, I60, J94.2, K22.1, K22.3, K22.6, K25.0, K25.2, K25.4, K25.6, K26.0, K26.2, K26.4, K26.6, K27.0, K27.4, K27.6, K28.0, K28.2, K28.4, K28.6, K29.0, K62.5, K63.1, K63.3, K92.0-K92.2, R04, R31, S06.4-S06.6)

Data analysis plan

R language will be used for in data management for creating the analysis database and in statistical analysis for creating tabulations and graphics as well as in all statistical modelling. If a variable is totally missing it is excluded from the analysis. If a variable is missing for only some of the patients a missing data category is added and used in the analysis. The principles of the statistical analysis by objectives are outlined in protocol. More detailed statistical analysis plans will be written separately.