Sex dependent risk factors for mortality after myocardial infarction: individual patient data meta-analysis

Table 2 Selected main effects and interactions in Lasso regression analysis

	β*	Frequency ^†
Demographics
Age <50	–0.47
Age >70	0.86
Heart disease
History of MI	0.52
LVEF <40%	0.31
Killip class II–IV	0.54
Beta-blocker use	–0.53
Comorbidity
Diabetes	0.47
General health
BMI <20	0.20
Selected interactions
Killip class * beta-blocker use	0.26	95/100
Male sex * LVEF <40%	0.14	68/100
Male sex * age <50	–0.18	64/100
Male sex * depression high^‡	0.13	64/100
Male sex * hyperlipidaemia	–0.17	61/100
Diabetes * beta-blocker use	0.10	36/100
Killip class * hyperlipidaemia	0.10	34/100

β, Penalized beta-coefficient; BMI, Body mass index; LVEF, Left ventricular ejection fraction; MI, Myocardial infarction.
*All main effects and interactions with a penalized beta-coefficient ≥0.1 or ≤ –0.1 selected in Lasso regression analysis in the training data (n = 8,410).
^†The number of times this interaction was found with a beta-coefficient ≥0.1 or ≤ –0.1 in 100 Lasso regression analyses in random 80% samples of the training data (n = 6,728).
^‡Depression high: depression z-score in highest quartile.

ISSN: 1741-7015