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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).