Description

Huijskes et al developed models for predicting outcomes following coronary artery bypass graft and/or cardiac valve surgery. One model describes the risk for in-hospital mortality. The authors are from Amphia Hospital in Breda, The Netherlands.


Parameters:

(1) age in years

(2) gender

(3) serum creatinine in µmol/L

(4) left ventricular ejection fraction

(5) history of previous cardiac surgery

(6) myocardial infarction (AMI) in the past 24 hours

(7) timing for the surgery

(8) type of surgery

 

Parameter

Finding

Points

age

<=60

0

 

> 60

see below

gender

male

0

 

female

1

serum creatinine

< 150 µmol/L

0

 

150 to 200 µmol/L

3

 

> 200 µmol/L

6

left ventricular ejection fraction

fair to good

0

 

poor

2

history of previous cardiac surgery

no

0

 

yes

4

AMI in past 24 hours

no

0

 

yes

5

timing for the surgery

routine or urgent

0

 

emergency

3

type of surgery

combined CABG and mitral valve surgery

4

 

other

0

 

points for age over 60 =

= ROUNDUP((age) – 60)/5,0)

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

• minimum score: 0

• maximum score 33 or more

• The higher the score the greater the risk for in-hospital mortality.

 

Total Score

Risk

0 to 3

low

4 or 5

low to moderate

6 to 8

moderate

9 or 10

moderate to high

11 or more

high

 

The authors also gave the equation from multivariate analysis:

 

Parameter

Beta

age, per 5 years after 60 years of age

0.41

female gender

0.58

serum creatinine at 3 levels (< 150, 150 to 200, > 200)

1.20

poor left ventricular ejection fraction

0.92

history of prior cardiac surgery

1.45

AMI in past 24 hours

1.96

emergency procedure

1.09

combined CABG and mitral valve procedure

1.00

coefficient

-6.84

 


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