Skip to main content

Table 2 Multivariate analysis of the factors associated with in-hospital mortality after coronary revascularization procedures among patients with and without type 2 diabetes in Spain, 2001-2011

From: National trends in utilization and outcomes of coronary revascularization procedures among people with and without type 2 diabetes in Spain (2001–2011)

 

In-hospital mortality (OR)

In-hospital mortality (OR)

In-hospital mortality (OR)

  

Type 2 diabetes

No diabetes

All

  

PCI

CABG

PCI

CABG

PCI

CABG

Age (years)

35-59

1

1

1

1

1

1

60-69

1.49

1.65

1.45

1.47

1.46

1.50

(1.30-1.70)

(1.35-2.01)

(1.33-1.58)

(1.31-1.63)

(1.36-1.57)

(1.37-1.65)

70-79

2.38

2.69

2.30

2.33

2.34

2.40

(2.10-2.71)

(2.23-3.25)

(2.14-2.48)

(2.10-2.57)

(2.19-2.49)

(2.20-2.63)

≥80

3.73

3.55

3.93

3.42

3.88

3.44

(3.25-4.29)

(2.72-4.62)

(3.62-4.28)

(2.99-3.91)

(3.61-4.16)

(3.05-3.88)

Sex

Men

1

1

1

1

1

1

Female

1.36

1.69

1.34

1.53

1.35

1.58

(1.26-1.46)

(1.52-1.89)

(1.26-1.42)

(1.42-1.65)

(1.29-1.41

(1.49-1.68)

Charlson index

0

1

1

1

1

1

1

1-2

2.92

2.58

3.14

2.56

3.07

2.56

(2.71-3.15)

(2.31-2.88)

(2.98-3.31)

(2.40-2.74)

(2.94-3.21)

(2.42-2.72)

≥3

5.27

4.95

6.62

5.43

6.07

5.27

(4.51-6.15)

(3.83-6.42)

(5.86-7.48)

(4.62-6.38)

(5.51-6.68)

(4.60-6.05)

Diabetes

No

-

-

-

-

1

1

Yes

-

-

-

-

0.99

0.67

-

-

-

-

(0.95-1.04)

(0.63-0.71)

Year

0.99

0.93

1.00

0.95

0.99

0.94

  

(0.97-1.00)

(0.91-0.94)

(0.99-1.01)

(0.93-0.96)

(0.98-1.01)

(0.93-0.95)

  1. Calculate using logistic regression models: Odds Ratio (OR). The logistic regression multivariate model were built using as dependent variable”death (yes/no)” of PCI or CABG respectively, and as independent variables year, sex, Charlson comorbidity index and age.