Table 4:

Points assigned to each variable in the parsimonious mortality model according to their regression coefficient

VariablesPoints
Age >701
ppoFEV1 <70%1
Male gender2.5
BMI <18.5 kg/m22.5
Thoracotomy (as opposed to MITS)2.5
Pneumonectomy (as opposed to lesser resections)3
VariablesPoints
Age >701
ppoFEV1 <70%1
Male gender2.5
BMI <18.5 kg/m22.5
Thoracotomy (as opposed to MITS)2.5
Pneumonectomy (as opposed to lesser resections)3

Numeric variables were categorized using ROC analysis.

BMI: body mass index; MITS: minimally invasive thoracic surgery; ppoFEV1: predicted postoperative forced expiratory volume in 1 s.

Table 4:

Points assigned to each variable in the parsimonious mortality model according to their regression coefficient

VariablesPoints
Age >701
ppoFEV1 <70%1
Male gender2.5
BMI <18.5 kg/m22.5
Thoracotomy (as opposed to MITS)2.5
Pneumonectomy (as opposed to lesser resections)3
VariablesPoints
Age >701
ppoFEV1 <70%1
Male gender2.5
BMI <18.5 kg/m22.5
Thoracotomy (as opposed to MITS)2.5
Pneumonectomy (as opposed to lesser resections)3

Numeric variables were categorized using ROC analysis.

BMI: body mass index; MITS: minimally invasive thoracic surgery; ppoFEV1: predicted postoperative forced expiratory volume in 1 s.

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