Predictores de síndrome coronario agudo sin supradesnivel del ST y estratificación de riesgo en la unidad de dolor torácico. Experiencia en 1.168 pacientes
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 pat...
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Autores principales: | , , , , , , |
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Lenguaje: | Spanish / Castilian |
Publicado: |
Sociedad Médica de Santiago
2008
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Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872008000400004 |
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Sumario: | 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 |
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