title: GENESIS-PRAXY (GENdEr and Sex determInantS of cardiovascular disease: From bench to beyond-Premature Acute Coronary SYndrome).
abstract: BACKGROUND
  Previous research has not adequately addressed the topic of sex and gender differences in occurrence of premature acute coronary syndrome (ACS). This study will investigate the clinical presentation, prognosis, and health care use in young men and women with ACS.
  
  
  METHODS
  We have set up a prospective, multicenter study of 1,576 patients aged 18-55 years and admitted to hospital with ACS. At baseline, questionnaires will be administered, and anthropometric and biological measurements will be performed. The patients will be observed for at least 1 year, with additional questionnaires being administered at 1, 6, and 12 months post-discharge. A review of medical records will be performed both at baseline and during follow-up.
  
  
  CONCLUSIONS
  This study will provide important evidence on the roles that a wide range of behavioral, environmental, and biological factors play in premature ACS and will help determine to what extent these roles depend on the individual's sex and gender. Ultimately, the knowledge derived from this study may facilitate accurate diagnosis and effective prevention and management of ACS in young women and men.
authors.affiliation: Division of General Internal Medicine, McGill University Health Centre, 687 Pine Avenue West, Montreal, Quebec, Canada. louise.pilote@mcgill.ca
authors.forename: Louise
authors.initials: L
authors.lastname: Pilote
authors.forename: Igor
authors.initials: I
authors.lastname: Karp
mesh_terms: D054058:Acute Coronary Syndrome / Q000453:epidemiology* / Q000209:etiology* / Q000503:physiopathology; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D017668:Age of Onset; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000209:etiology* / Q000503:physiopathology; D003430:Cross-Sectional Studies; D004777:Environment; D019317:Evidence-Based Medicine; D005260:Female; D015438:Health Behavior; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D008019:Life Style; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D011792:Quebec / Q000453:epidemiology; D012307:Risk Factors; D012720:Severity of Illness Index; D017678:Sex Distribution; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D055815:Young Adult