title: Impact of clinical practice guidelines on priorisation for intensive care beds allocation in high-risk acute coronary syndrome patients: does age play a role?
abstract: OBJECTIVE
  To assess which high-risk acute coronary syndrome (ACS) patient characteristics played a role in prioritising access to intensive care unit (ICU), and whether introducing clinical practice guidelines (CPG) explicitly stating ICU admission criteria altered this practice.
  
  
  METHODS
  All consecutive patients with ACS admitted to our medical emergency centre over 3 months before and after CPG implementation were prospectively assessed. The impact of demographic and clinical characteristics (age, gender, cardiovascular risk factors, and clinical parameters upon admission) on ICU hospitalisation of high-risk patients (defined as retrosternal pain of prolonged duration with ECG changes and/or positive troponin blood level) was studied by logistic regression.
  
  
  RESULTS
  Before and after CPG implementation, 328 and 364 patients, respectively, were assessed for suspicion of ACS. Before CPG implementation, 36 of the 81 high-risk patients (44.4%) were admitted to ICU. After CPG implementation, 35 of the 90 high-risk patients (38.9%) were admitted to ICU. Male patients were more frequently admitted to ICU before CPG implementation (OR=7.45, 95% CI 2.10-26.44), but not after (OR=0.73, 95% CI 0.20-2.66). Age played a significant role in both periods (OR=1.57, 95% CI 1.24-1.99), both young and advanced ages significantly reducing ICU admission, but to a lesser extent after CPG implementation.
  
  
  CONCLUSIONS
  Prioritisation of access to ICU for high-risk ACS patients was age-dependent, but focused on the cardiovascular risk factor profile. CPG implementation explicitly stating ICU admission criteria decreased discrimination against women, but other factors are likely to play a role in bed allocation.
authors.affiliation: Service of Internal Medicine, University Hospital (CHUV), Lausanne, Switzerland. jwasserf@chuv.ch
authors.forename: Jean-Blaise
authors.initials: JB
authors.lastname: Wasserfallen
authors.forename: Christophe
authors.initials: C
authors.lastname: Pinget
authors.forename: Alexandre
authors.initials: A
authors.lastname: Berger
authors.forename: Philippe
authors.initials: P
authors.lastname: Eckert
authors.forename: Jean-Christophe
authors.initials: JC
authors.lastname: Stauffer
authors.forename: Dominique
authors.initials: D
authors.lastname: Gillis
authors.forename: Marie-Denise
authors.initials: MD
authors.lastname: Schaller
authors.forename: Jacques
authors.initials: J
authors.lastname: Cornuz
authors.forename: Lukas
authors.initials: L
authors.lastname: Kappenberger
authors.forename: Bertrand
authors.initials: B
authors.lastname: Yersin
mesh_terms: D000367:Age Factors; D000368:Aged; D000789:Angina, Unstable / Q000453:epidemiology*; D005260:Female; D006801:Humans; D007362:Intensive Care Units; D008297:Male; D009203:Myocardial Infarction / Q000453:epidemiology*; D010343:Patient Admission / Q000706:statistics & numerical data*; D017410:Practice Guidelines as Topic; D011446:Prospective Studies; D013557:Switzerland / Q000453:epidemiology