[Predictors of acute coronary syndrome without ST segment elevation and risk stratification in the chest pain unit]

Rev Med Chil. 2008 Apr;136(4):442-50. Epub 2008 Jun 16.
[Article in Spanish]

Abstract

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 65 years (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.

Publication types

  • English Abstract

MeSH terms

  • Acute Coronary Syndrome / blood
  • Acute Coronary Syndrome / diagnosis*
  • Biomarkers / blood
  • Chest Pain / blood
  • Chest Pain / diagnosis*
  • Electrocardiography
  • Emergency Service, Hospital
  • Female
  • Humans
  • Male
  • Middle Aged
  • Odds Ratio
  • Patient Discharge
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Assessment
  • Troponin I / blood

Substances

  • Biomarkers
  • Troponin I