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Description

Brunelli et al reported two risk models for patients undergoing lung resection surgery. The Eurolung2 score predicts postoperative mortality. The authors are from multiple institutions in Europe.


Patient selection: lung resection surgery

 

Outcome: 30-day mortality

 

Parameters:

(1) sex

(2) age in years

(3) coronary artery disease (CAD)

(4) cerebrovascular disease (CVD)

(5) predicted postoperative FEV1 (ppoFEV1) in percent based on number of segments resected

(6) body mass index (BMI)

(7) pneumonectomy

(8) surgical approach (thoracotomy vs VATS)

(9) extended resection

 

Parameter

Finding

beta-coefficient

Aggregate Score

sex

female

0

0

 

male

0.903

3

age

 

0.044*(age)

2 if > 65

CAD

absent

0

0

 

present

0.264

1

CVD

absent

0

0

 

present

0.581

2

ppoFEV1

 

-0.009 * (ppoFEV1)

1 if < 70%

BMI

no

0

0

 

yes

-0.064 * (BMI)

3 if < 18.5

pneumonectomy

yes

0.929

3

 

no

0

0

extended resection

no

0

0

 

yes

0.300

1

surgery

thoracotomy

0.894

3

 

VATS

0

0

 

where:

• The ppoFEV1 is presumed to be based on the percent loss of preoperative FEV1 due to loss of respiratory tissue.

 

X =

= SUM(beta-coefficients for all 9 parameters) -5.82

 

probability of morbidity =

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

 

aggregate score for morbidity =

= SUM(points for all 9 parameters)

 

Interpretation:

• minimum aggregate score: 0

• maximum aggregate score: 19

 

Score

Morbidity

0 or 3

0.4%

4 to 6

1.4%

7 or 8

2.9%

9 to 11

5%

12 to 14

11%

15 to 17

29%

 


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