Model of Algar et al for Predicting Pulmonary Complications After Pneumonectomy for Lung Cancer

Description

Algar et al reported a model for predicting pulmonary complications after pneumonectomy for lung cancer. This can help to identify a patient who may benefit from more aggressive management to reduce the risk. The authors are from University Hospital Reina Sofia in Cordoba, Spain.

Patient selection: pneumonectomy for lung cancer

Outcome: pulmonary complications within 30-days of thoracotomy or before hospital discharge: nosocomial pneumonia, atelectasis, respiratory failure, postpneumonectomy pulmonary edema, postoperative ventilator dependence more than 24 hours, reintubation, pneumothorax of contralateral lung

Parameters:

(1) anesthesia time in minutes

(2) predicted postoperative FEV1 in mL per second

(3) heart disease

(4) COPD

(5) record of previous chest physiotherapy

Parameter	Finding	Points
anesthesia time		0.0117 * (time)
ppo FEV1		-0.0024 * (FEV1)
heart disease	no	0
	yes	0.9941
COPD	no	0
	yes	0.8228
chest physiotherapy	no	0.9705
	yes	0

X =

= SUM(points for all 5 parameters) - 0.8675

probability of pulmonary complications =

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

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Model of Algar et al for Predicting Pulmonary Complications After Pneumonectomy for Lung Cancer

Description

Specialty