Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

Table 6 Odds ratio for important characteristics

Characteristics	OR (95% CI)	P value
Age (+ 10-year increments)	1.25 (1.15–1.36)	< 0.001**
Heart rate (+ 20-beat increments)	1.12 (1.06–1.24)	0.047*
BBB
None	1.00 (Dummy variable)
LAFB	1.33 (1.05–1.68)	0.018*
LBBB	1.22 (0.63–2.34)	0.554
LPFB	1.48 (0.93–2.36)	0.101
RBBB	4.21 (2.42–7.02)	< 0.001**
LAFB + RBBB	4.36 (2.17–8.74)	< 0.001**
Ventricular wall motion abnormal
≥ 2 walls	3.26 (2.01–4.36)	< 0.001**
Anterior
	1.24 (0.71–2.19)	0.453
Apex	0.32 (0.08–1.23)	0.980
Anteroseptal	0.20 (0.04–1.02)	0.054
Posterior	1.41 (0.78–2.54)	0.254
Inferior	1.21 (1.12–2.24)	0.013*
None	1.00 (Dummy variable)
Lesions vessels
LAD	1.00 (Dummy variable)
LCX	0.63 (0.33–1.19)	0.154
RCA	3.00 (1.98–4.56)	< 0.001**
LM	1.77 (1.03–3.06)	0.040*
LAD + LCX	0.91 (0.62–1.35)	0.650
LAD + RCA	1.86 (1.33–2.60)	< 0.001**
RCA + LCX	1.91 (1.20–3.03)	0.006*
Triple vessels	1.67 (1.22–2.64)	0.001*

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