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Table 6 Multiple logistic regression model based on expert assessment of the ECG together with clinical characteristics (n = 605)a for the association between characteristics of ED chest pain patients and acute coronary syndrome (ACS).

From: A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department

  Estimate 95% CI
Baseline odds for ACSb 0.0066 0.0024 – 0.0178
Odds ratios   
   Age (no. of years above 40) 1.036 1.016 – 1.057
   Hypertension 2.3 1.3 – 4.1
   Angina pectoris ≤ 1 month 2.8 0.58 – 14
   Congestive heart failure 0.55 0.26 – 1.2
   Previous myocardial infarction   
Yes, ≤ 6 months 3.4 1.3 – 8.7
Yes, > 6 months 1.9 0.99 – 3.7
No 1.0 -
   Previous CABG 0.28 0.10 – 0.75
   Chest discomfort at presentation 1.8 1.0 – 3.1
   Symptom duration   
0 – 6 h 4.6 2.2 – 9.6
7 – 12 h 3.7 1.4 – 10
> 12 h 1.0 -
   ECG expert assessment   
ACS and TMI 97 26 – 360
ACS but not TMI 11 3.5 – 37
Probably ACS 5.8 3.2 – 11
No signs of ACS 1.0 -
  1. a Data on at least one of characteristics were missing for 3 (1 with and 2 without ACS) of the 608 patients with ECG assessed by the experts.
  2. b Baseline odds for ACS for a 40-year old patient who belongs to the reference category with respect to all other characteristics. The corresponding risk (probability) for ACS can be calculated as Odds/(1+Odds).