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).


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
-

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.

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).

Björk et al. BMC Medical Informatics and Decision Making 2006 6:28   doi:10.1186/1472-6947-6-28