Description

Andersson et al developed a score for predicting 30-day mortality for a patient with heart failure who is undergoing non-cardiac surgery. This can help to identify a patient who may benefit from more aggressive or alternative management. The authors are from multiple universities in Denmark, Sweden, and the United States.


Patient selection: adult with heart failure, undergoing non-cardiac surgery

 

Outcome: 30-day mortality

 

Parameters:

(1) gender

(2) age in years

(3) body mass index (BMI) in kilograms per square meter

(4) acute surgery

(5) high-risk procedure (intraperitoneal, intrathoracic, suprainguinal vascular surgery)

(6) renal disease

(7) cerebrovascular disease

(8) insulin therapy (presumably diabetes)

 

Parameter

Finding

Points

gender

female

0

 

male

1

age

<= 55 years

0

 

56 to 65 years

2

 

66 to 75 years

4

 

76 to 85 years

5

 

> 85 years

7

body mass index

< 18.5 (underweight)

4

 

18.5 to 24.9 (normal)

3

 

25 to 29.9(overweight)

1

 

>= 30 (obese)

0

acute surgery

no

0

 

yes

5

high risk procedure

no

0

 

yes

3

renal disease

no

0

 

yes

1

cerebrovascular disease

no

0

 

yes

1

insulin therapy

no

0

 

yes

1

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 23

• The higher the score the greater the risk of 30-day mortality.

 

Total Score

30-Day Mortality

0 to 4

< 2%

5 to 8

2-5%

9 to 11

5 to 10%

12 to 14

10 to 20%

15 or 16

20 to 30%

17 to 19

30 to 50%

20 to 23

> 50%

 

Performance:

• The area under the ROC curve is 0.79.


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