Description

Zainab et al reported a score for predicting respiratory failure in a patient who has undergone cardiac surgery. This can help to identify a patient who may benefit from more aggressive management. The authors are from Houston Methodist Hospital.


Patient selection: cardiac surgery

 

Outcome: respiratory failure

 

Parameters:

(1) body mass index (BMI)

(2) diabetes

(3) chronic lung disease

(4) home oxygen

(5) recent pneumonia

(6) eGFR in mL per min per 1.73 square meter

(7) previous cardiac intervention

(8) NYHA classification

(9) cardiopulmonary bypass

(10) cardiogenic shock

(11) mechanical support

(12) total number of blood product units used

(13) ASA score

 

Parameter

Finding

Beta-Coefficient

Points

body mass index

< 30 kg per sq m

0

0

 

>= 30

0.32

5

diabetes

no

0

0

 

yes

0.18

3

chronic lung disease

no

0

0

 

yes

0.36

5

home oxygen

no

0

0

 

yes

0.47

7

recent pneumonia

no

0

0

 

yes

0.30

4

eGFR

>= 60

0

0

 

< 60

0.53

8

cardiac intervention

no

0

0

 

yes

0.40

6

NYHA class

1 or 2

0

0

 

3 or 4

0.60

9

CP bypass

no

0

0

 

yes

0.47

7

cardiogenic shock

no

0

0

 

yes

1.21

17

mechanical support

no

0

0

 

yes

0.53

8

blood products

none

0

0

 

0.09 * (number)

(number)

ASA score

1 to 3

0

0

 

4 or 5

0.07

1

 

value of X =

= SUM(beta-coefficients for all of the parameters) - 3.20119

 

probability of respiratory failure =

= 1 / (1 + EXP((-1) * X))

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

minimum score: 0

maximum score: 81

 

Score

Risk Group

0 to 15

low

16 to 25

moderate

>- 26

high

 

Performance:

The area under the ROC curve is 0.73.


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