Model of Strand for Predicting 30-Day Mortality Following Resection of a Lung Cancer

Description

Strand et al reported a model for predicting short-term mortality for a patient undergoing resection of a lung cancer. This can help to identify a patient who may benefit from an alternative therapy. The authors are from the Cancer Registry of Norway.

Patient selection: resection of a lung cancer, age < 90 years

Outcome: 30-day mortality

Parameters:

(1) sex of the patient

(2) age in years

(3) side of the resection

(4) surgical approach

(5) surgical procedure

(6) histopathologic type

(7) pathological stage

(8) hospital volume for the number of lung tumor resections per year

(9) tumor size in cm

Parameter	Finding	Beta-Coefficient
sex	female	0
	male	0.56
age in years	< 50 years	0
	50 to 59 years	0.038
	60 to 69 years	0.47
	70 to 79 years	1.22
	80 to 89 years	2.3
side	left	0
	right	0.55
surgical approach	VATS	0
	open thoracotomy	0.63
surgical procedure	upper lobectomy	0
	middle lobectomy	-0.5
	lower lobectomy	0.42
	bilobectomy	1.12
	pneumonectomy	1.51
	sublobar resection	-0.086
histopathologic type	adenocarcinoma	0
	squamous cell	0.078
	other	0.32
pathologic stage	I	0
	II	0.14
	III	0.21
	IV	0.98
hospital volume	< 20 cases per year	0
	>= 20 cases per year	-0.28
tumor size	<= 3 cm	0
	3.01 to 5 cm	-0.073
	> 5 cm	0.095
	unknown	0.14

value of X =

= SUM(all of the beta-coefficients) - 5.97

probability of 30-day mortality =

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

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

Model of Strand for Predicting 30-Day Mortality Following Resection of a Lung Cancer

Description

Specialty