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
Disease epidemiology
Drug utilisation
Healthcare resource utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(A10) DRUGS USED IN DIABETES
DRUGS USED IN DIABETES
(B01AC) Platelet aggregation inhibitors excl. heparin
Platelet aggregation inhibitors excl. heparin
(C07) BETA BLOCKING AGENTS
BETA BLOCKING AGENTS
(C09A) ACE INHIBITORS, PLAIN
ACE INHIBITORS, PLAIN
(C09B) ACE INHIBITORS, COMBINATIONS
ACE INHIBITORS, COMBINATIONS
(C09C) ANGIOTENSIN II RECEPTOR BLOCKERS (ARBs), PLAIN
ANGIOTENSIN II RECEPTOR BLOCKERS (ARBs), PLAIN
(C09D) ANGIOTENSIN II RECEPTOR BLOCKERS (ARBs), COMBINATIONS
ANGIOTENSIN II RECEPTOR BLOCKERS (ARBs), COMBINATIONS
(C10) LIPID MODIFYING AGENTS
LIPID MODIFYING AGENTS
(N02BA01) acetylsalicylic acid
acetylsalicylic acid

Medical condition to be studied

Coronary artery disease
Population studied

Short description of the study population

Subject with stable coronary artery disease (CAD) (patients with a history of MI at least one year ago), high risk stable CAD (stable CAD patients with additional risk factors), and PEGASUS-like patients (high risk stable CAD patients with other main PEGASUS inclusion and exclusion criteria) identified from French real world setting for the study period of 2005 to 2012.

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

Hepatic impaired
Immunocompromised
Pregnant women
Renal impaired

Estimated number of subjects

5600
Study design details

Main study objective

To assess event rates and cumulative incidence rates of nonfatal MI, nonfatal stroke, major bleeding, and mortality during follow-up, and by specific time periods (follow-up periods 0-1 year, 1-2 years, 2-3 years).

Outcomes

Clinical events during follow-up as well as specific follow-up time periods (0-1 year, 1-2 years, 2-3 years): i) A composite of hospitalisation for non-fatal ACS (primary diagnosis ICD-10 codes I20.0-I21) or non-fatal stroke (ICD-10 codes I63-I64), and all-cause mortality, ii) Each event separately, iii) Hospitalisation for fatal and non-fatal major bleeding (ICD10 codes for bleeding). To describe baseline demographic and clinical characteristics at the time of trigger event and during the year between trigger event and index date.To describe treatment pattern during follow-up, as well as specific time periods (follow-up periods 0-1 year, 1-2 years, 2-3 years).To describe health care resource use and costs during follow-up as well as specific follow-up time periods.

Data analysis plan

Statistical analysis will be carried out by the Bordeaux pharmacoepi according to a documented and approved Statistical Analysis Plan (SAP). The SAP describes statistical analysis as foreseen at the time of planning study. Statistical analysis will be performed after database lock using SASĀ® software (SAS Institute, last version, North Carolina, USA). Blind double programming will be used for the main outcome measures.Qualitative variables (dichotomous or categorical) will be described in terms of number and frequency. Quantitative variables will be described in terms of mean, standard deviation, median, first and third quartiles, as well as deciles.The Kaplan Meier estimate will be used to estimate the incidence of clinical events. The Cox proportional hazards risk model will be used to assess predictors of the composite clinical events.