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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).