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Table 3 Odds ratios and 95% CIs for multilevel logistic models estimating 30-day in-hospital mortality by ST-segment elevation

From: 30-day in-hospital mortality after acute myocardial infarction in Tuscany (Italy): An observational study using hospital discharge data

 

STEMI

NSTEMI

Hierarchical null model

Hierarchical model without presence of a cardiac catheterisation lab.

Hierarchical model with presence of a cardiac catheterisation lab.

Hierarchical null model

Hierarchical model without presence of a cardiac catheterisation lab.

Hierarchical model with presence of a cardiac catheterisation lab.

Patients Characteristics

      

Gender (male vs. female)

–

1.15 (0.86–1.52)

1.14 (0.86–1.51)

–

1.02 (0.74–1.40)

1.01 (0.74–1.39)

Age (years)

–

1.08 (1.06–1.09)

1.08 (1.06–1.09)

–

1.11 (1.09–1.13)

1.11 (1.09–1.14)

History of COPD

–

2.89 (1.51–5.53)

2.67 (1.40–5.11)

–

1.75 (1.02–3.03)

1.73 (1.00–2.99)

History of diabetes

–

–

–

–

1.65 (1.02–2.67)

1.64 (1.01–2.65)

History of cerebrovascular diseases

–

–

–

–

1.79 (1.08–2.97)

1.80 (1.09–2.98)

Cerebrovascular diseases

–

1.86 (1.13–3.07)

1.81 (1.10–2.98)

–

–

–

History of tumours

–

3.08 (1.70–5.58)

2.93 (1.62–5.32)

–

2.49 (1.34–4.65)

2.50 (1.34–4.67)

Vascular diseases

–

2.05 (1.17–3.59)

2.05 (1.17–3.58)

–

–

–

History of other forms of ischemic heart diseases

–

–

–

–

0.54 (0.33–0.86)

0.54 (0.34–0.86)

History of heart failure

–

–

–

–

1.87 (1.21–2.89)

1.87 (1.21–2.88)

Hospital Characteristic

      

Presence of cardiac catheterisation lab.

–

–

0.59 (0.42–0.85)

–

–

0.89 (0.65–1.20)

Hospital Variance

      

σ 2 (p-value)*

0.42 (<0.001)

0.17 (0.002)

0.08 (0.046)

<0.01 (1.000)

<0.01 (1.000)

<0.01 (1.000)

Goodness of fit

      

Pseudo R 2

–

0.27

0.29

–

0.37

0.37

Wald χ 2 (p-value)

–

162.44 (<0.001)

174.44 (<0.001)

–

151.59 (<0.001)

152.17 (<0.001)

AIC

1,749.24

1,554.80

1,549.84

1,464.31

1,273.26

1,274.64

BIC

1,753.46

1,567.69

1,564.34

1,467.36

1,288.52

1,291.43

  1. * p-value from LR (likelihood ratio) test vs. logistic regression of σ 2 = 1.