title: Prediction of hypoxemia and mechanical ventilation after lung resection for cancer.
abstract: BACKGROUND
  Hypoxemia usually occurs after thoracotomy, and respiratory failure represents a major complication.
  
  
  METHODS
  To define predictive factors of postoperative hypoxemia and mechanical ventilation (MV), we prospectively studied 48 patients who had undergone lung resection. Preoperative data included, age, lung volume, force expiratory volume in one second (FEV1), predictive postoperative FEV1 (FEV1ppo), blood gases, diffusing capacity, and number of resected subsegments.
  
  
  RESULTS
  On postoperative day 1 or 2, hypoxemia was assessed by measurement of PaO2 and alveolar-arterial oxygen tension difference (A-aDO2) in 35 nonventilated patients breathing room air. The other patients (5 lobectomies, 9 pneumonectomies) required MV for pulmonary or nonpulmonary complications. Using simple and multiple regression analysis, the best predictors of postoperative hypoxemia were FEV1ppo (r = 0.74, p < 0.001) in lobectomy and tidal volume (r = 0.67, p < 0.01) in pneumonectomy. Using discriminant analysis, FEV1ppo in lobectomy and tidal volume in pneumonectomy were also considered as the best predictive factors of MV for pulmonary complications.
  
  
  CONCLUSIONS
  These results suggest that the degree of chronic obstructive pulmonary disease in lobectomy and impairment of preoperative breathing pattern in pneumonectomy are the main factors of respiratory failure after lung resection.
authors.affiliation: Department of Thoracic Surgery, Gabriel Montpied Hospital, Clermond-Ferrand, France. mfilaire@chu-clermontferrand.fr
authors.forename: M
authors.initials: M
authors.lastname: Filaire
authors.forename: M
authors.initials: M
authors.lastname: Bedu
authors.forename: A
authors.initials: A
authors.lastname: Naamee
authors.forename: S
authors.initials: S
authors.lastname: Aubreton
authors.forename: L
authors.initials: L
authors.lastname: Vallet
authors.forename: B
authors.initials: B
authors.lastname: Normand
authors.forename: G
authors.initials: G
authors.lastname: Escande
mesh_terms: D000328:Adult; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D000860:Hypoxia / Q000209:etiology*; D008175:Lung Neoplasms / Q000601:surgery*; D008297:Male; D008875:Middle Aged; D011013:Pneumonectomy; D011183:Postoperative Complications; D011184:Postoperative Period; D011379:Prognosis; D011446:Prospective Studies; D012044:Regression Analysis; D012121:Respiration, Artificial; D012129:Respiratory Function Tests; D015656:Respiratory Mechanics