Table 2.

Uni- and multivariable Cox proportional regression models for prediction of myocardial infarction during follow-up.

	Coronary Microcalcification Activity >1.56		Target to background ratio >1.28		Coronary Calcium Score > 1199
	Hazard ratio (95% CI)	p-value	Hazard ratio (95% CI)	p-value	Hazard ratio (95% CI)	p-value
Model 1	7.30 (2.44–21.84)	<0.001	6.16 (1.06–18.42)	0.001	3.24 (1.29–8.11)	0.012
Model 2	7.20 (2.36–21.95)	0.001	5.94 (1.94–18.10)	0.002	-
Model 3	6.66 (2.19–20.25)	0.001	5.57 (1.80–17.00)	0.003	2.65 (0.93–7.56)	0.069
Model 4	8.73 (2.44–31.29)	0.001	4.80 (1.54–14.93)	0.007	2.72 (0.90–8.21)	0.075
Model 5	8.91 (2.47–32.16)	0.001	4.83 (1.54–15.20)	0.007	-
Model 6	8.12 (2.57–25.28)	p<0.001	4.30 (1.34–13.82)	0.014
Model 7	7.10 (2.2–25.1)	0.003	4.6 (1.4–14.4)	0.013

Model 1 – unadjusted; Model 2 – adjusted for Coronary Calcium Score; Model 3 – adjusted for segment involvement score, number of coronary stents, multivessel coronary artery disease; Model 4 – adjusted for segment involvement score, number of coronary stents, multivessel coronary artery disease, age, gender, hyperlipidaemia, hypertension, diabetes, smoking; Model 5 – similar to Model 4 and additionally adjusted for coronary calcium scoring; Model 6 – similar to Model 5 and additionally adjusted for REACH and SMART risk scores. Model 7 – similar to model 6 and additionally adjusted for initial patient’s presentation (stable vs acute myocardial infarction) and the study in to which the patient was initially recruited.