Predictores de síndrome coronario agudo sin supradesnivel del ST y estratificación de riesgo en la unidad de dolor torácico. Experiencia en 1.168 pacientes

• Luigi A Gabrielli ^[1] ; Pablo F Castro ^[1] ; Hugo E Verdejo ^[1] ; Paul A McNab ^[1] ; Silvana A Llevaneras ^[1] ; José M Mardonez ^[1] ; Ramón L Corbalán ^[1]
  1. [1] Pontificia Universidad Católica de Chile

     Pontificia Universidad Católica de Chile

     Santiago, Chile

     
• Localización: Revista Médica de Chile, ISSN-e 0034-9887, Vol. 136, Nº. 4, 2008, págs. 442-450
• Idioma: español
• Títulos paralelos:
  • Predictors of acute coronary syndrome without ST segment elevation and risk stratification in the chest pain unit
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• Resumen

  • Background: Nearly 10% of patients with an actual acute coronary syndrome (ACS) are discharged with an inadequate diagnosis. Aim To select clinical and laboratory predictors to identify patients with a high likelihood of ACS in the Chest Pain Unit. Material and methods: Prospective evaluation of patients consulting in a Chest Pain Unit of a University Hospital. Initial assessment was standardized and included evaluation of pain characteristics, electrocardiogram and Troponin I. Independent predictors of ACS were identified with a multiple logistic regression. Results: In a four years period, 1,168 patients aged 62±23 years (69% males), were studied. After initial evaluation, 62% of the patients were admitted to the hospital for further testing and in 71% of them, a definite diagnosis of ACS was made. No events were reported by patients directly discharged from the Chest Pain Unit. Independent predictors associated with a higher likelihood of ACS were an abnormal electrocardiogram at the initial evaluation (Odds ratio (OR) 5.37, 95% confidence intervals (CI) 3.61-7.99), two or more cardiovascular risk factors (OR 2.16, 95% CI 1.21-2.84), cervical irradiation of the pain (OR 1.84, 95% CI 1.25-2.69), age over 65years (OR 1.73, 95% CI (1.32-2.27) and a Troponin I above the upper normal limit (OR: 5.68, 95% CI 3.72-8.29). Conclusions: Simple clinical findings allow an appropriate identification of patients with a high likelihood of ACS without specialized methods for myocardial ischemia detection