Table 3

Univariate and multivariate logistic analysis of risk factors for mechanical complications

Univariate analysisMultivariate analysis model 1*Multivariate analysis model 2†
OR95% CIP valueOR95% CIP valueOR95% CIP value
Age1.041.00 to to to 1.050.90
Female sex3.901.62 to 9.400.0023.411.29 to to 9.730.01
Body mass index0.970.87 to 1.090.65
Current smoker0.290.08 to 0.990.0470.560.14 to 2.180.40
Hypertension1.230.47 to 3.220.670.910.32 to 2.580.860.740.25 to 2.220.59
Diabetes mellitus1.240.52 to 2.980.62
Dyslipidaemia0.580.24 to 1.380.22
Chronic kidney disease7.512.19 to 25.780.0017.271.94 to 27.300.003
De novo myocardial infarction2.080.27 to 15.890.481.900.22 to 15.880.552.490.28 to 22.260.41
Anterior myocardial infarction2.370.95 to 5.930.073.231.21 to 8.570.023.491.26 to 9.640.02
Single-vessel disease0.470.18 to to to 1.180.10
After a state of emergency declaration (vs before)4.441.80 to 10.880.0025.322.01 to 14.030.0015.782.08 to 16.050.001
  • *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.