Description

Hubacek et al developed a model for predicting hospital mortality in a patient with an acute coronary syndrome undergoing percutaneous coronary intervention (PCI). This was based on the bedside score of Moscucci et al (above, original Michigan model). The authors are the APPROACH investigators from Canada.


 

Parameters:

(1) time interval from acute myocardial infarction (AMI) to PCI

(2) indication for PCI (see Table 1, page 309)

(3) cardiogenic shock

(4) serum creatinine

(5) cardiac arrest

(6) number of diseased vessels

(7) age of the patient in years

(8) left ventricular ejection fraction

(9) peripheral vascular disease

(10) gender

Parameter

Finding

Points

interval from AMI to PCI

<= 24 hours

0.5

 

> 24 hours

0

indication for PCI

myocardial infarction (MI)

2.0

 

non-MI

0

cardiogenic shock

absent

0

 

present

3.0

serum creatinine

normal

0

 

increased

1.5

cardiac arrest

none

0

 

present

2.5

number of diseased vessels

1

0.5

 

2

1.0

 

3

1.5

age of the patient

< 70 years

0

 

70 - 79 years

1.0

 

>= 80 years

1.5

ejection fraction

>= 50%

0

 

< 50%

1.0

 

missing

1.5

 

unable to do

1.5

peripheral vascular disease

absent

0

 

present

1.0

gender

male

0

 

female

0.5

 

total score =

= SUM(points for all 10 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 15.5

• The higher the score the greater the hospital mortality.

 

Score

Predicted Mortality

<= 4.0

0

4.5

0.3%

5.0

0.6%

5.5

1.0%

6.0

1.6%

6.5

2.7%

7.0

6.4%

7.5

10%

8.0

15%

8.5

23%

9.0

34%

9.5

45%

10.0

56%

10.5

67%

11.0

75%

11.5

84%

12.0

89%

12.5

93%

13.0

98%

13.5

98%

14 - 15.5

> 98%

from, Figure 2, page 310

 

To simplify this, the following table can be used based on the above data (this is not included in the citation).

 

Score

Predicted Mortality

0 to 4.0

none

4.5 to 6.5

very low

7.0 to 8.0

low

8.5 to 9.5

moderate


To read more or access our algorithms and calculators, please log in or register.