title: Non-clinical factors influencing the selection of patients with acute coronary syndromes for angiography.
abstract: OBJECTIVE
  To analyse clinical and non-clinical factors determining the selection for coronary angiography in patients with acute coronary syndromes (ACS).
  
  
  METHODS
  Single centre, prospective cohort study.
  
  
  METHODS
  Eighty consecutive patients admitted with a diagnosis of ACS during the period 21 May 2001 to 4 July 2001.
  
  
  METHODS
  Coronary care unit of a tertiary referral centre, the Manchester Royal Infirmary.
  
  
  METHODS
  Information concerning baseline patient characteristics, clinical presentation, and the selection for angiography was collected from the patient notes.
  
  
  METHODS
  Windows SPSS version 9.0 using cross tabulations with chi(2) estimation and binomial logistic regression analysis.
  
  
  METHODS
  Selection for angiography in ACS.
  
  
  RESULTS
  Cross tabulations with chi(2) analysis and logistic regression analysis identified significant non-clinical factors predicting the use of angiography. Although clinical factors such as recurrent ischaemia (odds ratio 5.11) influenced the decision to undergo coronary angiography, non-clinical factors such as young age (odds ratio 6.88 for <65 years old), gender (odds ratio 3.81 for males), admission on a weekday (odds ratio 0.2488 for admission on the weekend), and consultant in charge (odds ratio 0.111 for consultant "2") independently predicted the use of angiography in ACS.
  
  
  CONCLUSIONS
  The selection of patients for angiography in ACS is not based purely on clinical criteria. Awareness of the apparent sources of bias among clinical decision makers may improve management of these patients.
authors.affiliation: Manchester Heart Centre, Manchester Royal Infirmary, Oxford Road, Manchester M139WL, UK. alex_quaas@hotmail.com
authors.forename: A
authors.initials: A
authors.lastname: Quaas
authors.forename: N
authors.initials: N
authors.lastname: Curzen
authors.forename: C
authors.initials: C
authors.lastname: Garratt
mesh_terms: D000208:Acute Disease; D000368:Aged; D017023:Coronary Angiography / Q000706:statistics & numerical data*; D003325:Coronary Care Units / Q000706:statistics & numerical data; D003327:Coronary Disease / Q000000981:diagnostic imaging*; D004739:England; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018579:Patient Selection; D013577:Syndrome