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Table 3 Effect of patients personal characteristics on risk of non admission to Coronary Care Unit (CCU)

From: Differences in access to coronary care unit among patients with acute myocardial infarction in Rome: old, ill, and poor people hold the burden of inefficiency

 

Patients

% directly admitted to CCU

OR

95% C.I.

OR*

95% C.I.

Gender

      

   Male

6243

56.7

1.00

 

1.00

 

   Female

2884

47.9

0.70

0.64 – 0.77

0.73

0.64 – 0.84

Age (years)

      

   <50

673

67.9

1.00

 

1.00

 

   50–64

2665

62.7

0.79

0.67 – 0.95

0.79

0.60 – 1.04

   65–74

2606

55.1

0.58

0.48 – 0.69

0.72

0.55 – 0.95

   75–84

2234

44.8

0.35

0.32 – 0.46

0.49

0.37 – 0.65

   85+

949

37.7

0.29

0.23 – 0.35

0.35

0.25 – 0.48

Charlson's comorbidity index

      

   0

4516

60.2

1.00

 

1.00

 

   1

2807

53.1

0.75

0.68 – 0.82

0.69

0.60 – 0.80

   2

1117

41.4

0.47

0.41 – 0.53

0.45

0.36 – 0.55

   3+

687

36.8

0.38

0.33 – 0.45

0.48

0.37 – 0.61

SES level

      

   I

1523

52.6

1.00

 

1.00

 

   II

2840

53.5

1.04

0.91 – 1.17

0.90

0.75 – 1.09

   III

2603

54.8

1.09

0.96 – 1.24

0.79

0.65 – 0.95

   IV

1883

54.7

1.09

0.95 – 1.25

0.81

0.66 – 0.99

  1. OR: Crude Odds Ratio
  2. OR*: Odds Ratio adjusted for age, gender, severity of illness, and SES. Random effect model with admitting hospital as clustering variable