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