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Table 3 Multiple logistic regression model based on ECG and other clinical characteristics of patients (n = 627a) who come to the emergency department with acute chest pain and acute coronary syndrome (ACS). I-STamp, ST amplitude in lead I; aVF-STamp, ST amplitude in lead aVF; V2-STamp, ST amplitude in lead V2; STamp38, ST amplitude at the end of the third out of eight equal intervals between the ST-J point and the end of the T wave.

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 0.0163 0.0073 – 0.0362
Odds ratios   
   Age (no. of years above 40) 1.031 1.014 – 1.047
   Hypertension 1.7 1.1 – 2.8
   Angina pectoris ≤ 1 month 4.1 0.97 – 17
   Congestive heart failure 0.48 0.24 – 0.94
   Previous myocardial infarction   
Yes, ≤ 6 months 2.7 1.2 – 6.4
Yes, > 6 months 2.1 1.2 – 3.8
No 1.0 -
   Previous CABG 0.23 0.09 – 0.60
   Chest discomfort at presentation 1.9 1.2 – 3.1
   Symptom duration   
0 – 6 h 3.8 2.0 – 7.1
7 – 12 h 2.8 1.2 – 6.5
> 12 h 1.0 -
   I-Stamp   
I-STamp > 50 and I-STamp38 > I-Stamp 2.4 0.74 – 7.7
   aVF-Stamp   
aVF-STamp>100 and aVF-STamp38>aVF-Stamp 9.4 2.7 – 33
aVF-STamp < -100 and aVF-STamp38 < aVF-STamp 4.1 0.72 – 23
None of above 1.0  
   V2-Stamp   
V2-STamp > 200 and V2-STamp38 > V2-Stamp 3.4 1.5 – 7.4
100 < V2-STamp ≤ 200 and V2-STamp38 > V2-STamp 1.6 0.90 – 2.8
V2-STamp < -100 and V2-STamp38 < V2-Stamp 2.6 0.54 – 13
None of above 1.0 -
  1. a Data on at least one of characteristics were missing for 7 (4 with ACS and 3 without ACS) of the original 634 patients.
  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).