Table 3

Univariate and multivariate logistic analysis of risk factors for mechanical complications

	Univariate analysis			Multivariate analysis model 1*			Multivariate analysis model 2†
	OR	95% CI	P value	OR	95% CI	P value	OR	95% CI	P value
Age	1.04	1.00 to 1.09	0.03	1.03	0.99 to 1.08	0.14	1.00	0.96 to 1.05	0.90
Female sex	3.90	1.62 to 9.40	0.002	3.41	1.29 to 9.04	0.01	3.54	1.29 to 9.73	0.01
Body mass index	0.97	0.87 to 1.09	0.65
Current smoker	0.29	0.08 to 0.99	0.047				0.56	0.14 to 2.18	0.40
Hypertension	1.23	0.47 to 3.22	0.67	0.91	0.32 to 2.58	0.86	0.74	0.25 to 2.22	0.59
Diabetes mellitus	1.24	0.52 to 2.98	0.62
Dyslipidaemia	0.58	0.24 to 1.38	0.22
Chronic kidney disease	7.51	2.19 to 25.78	0.001				7.27	1.94 to 27.30	0.003
De novo myocardial infarction	2.08	0.27 to 15.89	0.48	1.90	0.22 to 15.88	0.55	2.49	0.28 to 22.26	0.41
Anterior myocardial infarction	2.37	0.95 to 5.93	0.07	3.23	1.21 to 8.57	0.02	3.49	1.26 to 9.64	0.02
Single-vessel disease	0.47	0.18 to 1.22	0.12	0.38	0.13 to 1.08	0.07	0.39	0.13 to 1.18	0.10
After a state of emergency declaration (vs before)	4.44	1.80 to 10.88	0.002	5.32	2.01 to 14.03	0.001	5.78	2.08 to 16.05	0.001

*Multivariate logistic regression analysis with established risk factors for mechanical complications (age, female, anterior myocardial infarction, de novo myocardial infarction, single-vessel disease and after a state of declaration (vs before)).
†Multivariate logistic regression analysis with factors that were significant in the univariate analysis and established risk factors for mechanical complications.