A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department

Table 3 Multiple logistic regression model based on ECG and other clinical characteristics of patients (n = 627^a) 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.

	Estimate	95% CI
Baseline odds for ACS^b	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	-

^a Data on at least one of characteristics were missing for 7 (4 with ACS and 3 without ACS) of the original 634 patients.
^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).

ISSN: 1472-6947