Clinical Study

The Challenge of Triaging Chest Pain Patients: The Bernese University Hospital Experience

Table 3

Logistic regression models for each variable separately on ACS.

VariablesOdds ratio95% CI value

Age21.29–3.090.002
Gender (female : male)0.40.20–0.800.0094
Coronary heart disease2.821.50–5.310.0013
Other heart disease0.290.10–0.830.021
Other cardiovascular disease1.540.65–3.620.328
History of thromboembolic disease0.870.24–3.110.828
Chronic lung disease0.630.23–1.700.36
Diabetes mellitus1.510.57–4.010.404
Arterial hypertension0.680.34–1.370.281
Cigarette smoker0.760.32–1.790.522
History of cigarette smoking0.860.36–2.040.728
Dyslipidemia1.240.44–3.490.688
Familial history of coronary heart disease0.730.27–1.980.537
Cancer0.240.03–1.870.175
Referred with chest pain0.680.37–1.240.212
Referred with dyspnoea0.270.10–0.700.0069
Referred with suspected ACS10.84.86–23.9<0.001
Symptoms lasting <1 hour0.870.10–7.620.902
Symptoms lasting 1–6 hours0.670.29–1.580.362
Symptoms lasting >6 hours2.030.96–4.290.063
Symptom lasting one day or more0.260.11–0.600.0015
Symptom chest pain3.461.32–9.050.012
Oppressive retrosternal chest pain radiating to arms or neck37.616.0–88.2<0.001
Nonradiating oppressive retrosternal chest pain1.290.61–2.710.5
Burning chest pain0.620.075–5.130.656
Respiration-dependent chest pain0.130.03–0.570.0064
Stabbing chest pain0.290.10–0.850.023
Nonspecific chest pain0.110.032–0.350.0002
Symptom dyspnoea0.910.46–1.810.792
Cough0.160.05–0.530.0027
Heartburn0.720.16–3.310.672