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).