Table 4 Linear regression models (1) for depression (HAMD-17) and (2) for comorbid PTSD (CAPS-5).

	B	SE	Beta	p
1) Linear regression model for Depression
DV = HAMD-17 / 6 months after AMI
Constant	8.835	2.688		0.001
HAMD-17 (5 days after AMI)	0.334	0.108	0.287	0.003
IES subscale – hyperarousal (5 days after AMI)	0.318	0.087	0.337	< 0.001
Living arrangements (1 = alone, 2 = with others)	-3.308	1.357	− 0.187	0.016
2) Linear regression model for comorbid PTSD
DV = CAPS-5 / 6 Months after AMI
Constant	17.768	3.795		< 0.001
IES Subscale - Avoidance (5 days after AMI)	0.594	0.107	0.456	< 0.001
Living Arrangements (1 = alone, 2 = with others)	-6.617	2.043	− 0.265	0.002

DV dependent variable, B regression coefficient, SE standard error of estimate.
The variables included in the stepwise (forward) multiple-regression analyses were the scores on the psychometric questionnaires [HAMD-17, HADS-A, IES-R (hyperarousal, intrusion, and avoidance)], anthropometry (height, weight), acute cardiac situation at the time of AMI (STEMI, NSTEMI, KILLIP class, ECG patterns, troponin T level, cardiogenic shock, and resuscitation), PCI parameters (indication for PCI and TIMI flow), in-hospital adverse AMI-related outcome (mortality, major bleeding incidents, reinfarction, and decrease of left ventricular ejection fraction), preexisting cardiac risk factors (nicotine abuse, known coronary artery disease, peripheral arterial occlusive disease, diabetes mellitus (IDDM), hypertension, hyperlipidemia, positive family history of myocardial infarction, history of myocardial infarction, severe liver disease, history of transient ischemic attack (TIA) or stroke), history of psychiatric morbidity before AMI (history of mental illness before AMI, current psychopharmacological treatment, substance abuse history), and sociodemographic data (age, sex, education level, employment status, living arrangement, and marital status).
For inclusion in the prediction equations, the 0.05 level was required.

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