title: Patterns of use and effectiveness of early invasive strategy in non-ST-segment elevation acute coronary syndromes: an assessment by propensity score.
abstract: BACKGROUND
  The patterns of use and the benefit of an early invasive strategy (EIS) in patients with non-ST-segment elevation acute coronary syndrome in a real-life population are not well established.
  
  
  METHODS
  All consecutive patients hospitalized because of non-ST-segment elevation acute coronary syndrome between November 2004 and June 2005 in 32 randomly selected hospitals were prospectively included. Patients were stratified by their baseline risk profile using the Global Registry of Acute Coronary Events (GRACE) risk score in 2 groups. Inhospital mortality and 1- and 6-month mortality or rehospitalization for acute coronary syndromes were analyzed. To ensure optimal adjustment propensity score, conventional logistic regression and Cox regression were used.
  
  
  RESULTS
  Of 2,856 patients analyzed, 1,616 (56%) had low/intermediate risk (GRACE<or=140) and 1,240 had high risk (GRACE>140). Patients who underwent EIS had lower risk than those who did not (GRACE score 128.2+/-41 vs 138.5+/-43, P<.001). Coronary angiography facility emerged as the strongest predictor of EIS (odds ratio [OR] 13.7 [95% CI 7.1-25]). Patients who underwent EIS had lower rate of the 6-month outcome in both the whole population (9% [95% CI 6.6-11.9] vs 14% [95% CI 12.5-15.6], P=.003) and in high-risk patients (16.5% [95% CI 11-23] vs 23.6% [95% CI 20.8-26.5], P=.04). However, this benefit of EIS was not apparent after statistical adjustment in the whole population (OR 0.8, CI 0.55-1.1, P=.17) or in high-risk patients (OR 0.7, CI 0.46-1.1, P=.16).
  
  
  CONCLUSIONS
  In a real-life population, EIS was mainly performed in patients of low/intermediate risk. An obvious benefit of this strategy could not be found.
authors.affiliation: Cardiology Department, Vall d'Hebron Hospital, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
authors.forename: Ignacio
authors.initials: I
authors.lastname: Ferreira-González
authors.forename: Gaietà
authors.initials: G
authors.lastname: Permanyer-Miralda
authors.forename: Magda
authors.initials: M
authors.lastname: Heras
authors.forename: José
authors.initials: J
authors.lastname: Cuñat
authors.forename: Emilia
authors.initials: E
authors.lastname: Civeira
authors.forename: Fernando
authors.initials: F
authors.lastname: Arós
authors.forename: Juan J
authors.initials: JJ
authors.lastname: Rodríguez
authors.forename: Pedro L
authors.initials: PL
authors.lastname: Sánchez
authors.forename: Josep R
authors.initials: JR
authors.lastname: Marsal
authors.forename: Aida
authors.initials: A
authors.lastname: Ribera
authors.forename: Jaume
authors.initials: J
authors.lastname: Marrugat
authors.forename: Héctor
authors.initials: H
authors.lastname: Bueno
mesh_terms: D054058:Acute Coronary Syndrome / Q000601:surgery*; D000368:Aged; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010818:Practice Patterns, Physicians'