Air leaks following pulmonary resection for lung cancer: is it a patient or surgeon related problem?

作者:Elsayed H*; McShane J; Shackcloth M
来源:Annals of the Royal College of Surgeons of England, 2012, 94(6): 422-427.
DOI:10.1308/003588412X13171221592258

摘要

INTRODUCTION Prolonged air leak (PAL) is the most common complication after partial lung resection and the most important determinant of length of hospital stay for patients post-operatively. The aim of this study was to determine the risk factors involved in developing air leaks and the consequences of PAL. %26lt;br%26gt;METHODS All patients undergoing lung resection between January 2002 and December 2007 in our hospital were studied retrospectively. Univariate analysis to predict risk factors for developing post-operative air leaks included patient demographics, smoking status, pulmonary function tests, disease aetiology (benign, malignant), neoadjuvant therapy (pre-operative radiotherapy/chemotherapy), extent and type of resection, and different consultant surgeons%26apos; practice. A logistic regression model was used for multivariate analysis. %26lt;br%26gt;RESULTS A total of 1,911 lung resections were performed over the 6-year study period. An air leak lasting more than 6 days post-operatively was present in 129 patients (6.7%). This included 100 out of the 1,250 patients (8%) from the lobectomy group and 29 out of the 661 patients (4.4%) from the wedge/segmentectomy group. Using the multivariate analysis, the risk factors for developing an air leak included a low predicted forced expiratory volume in 1 second (pFEV(1)) (p%26lt;0.001), performing an upper lobectomy (p=0.002) and different consultant practice (p=0.02). PAL was associated with increased length of stay (p%26lt;0.0001), in-hospital mortality (p=0.003) and intensive care unit readmission (p=0.05). %26lt;br%26gt;CONCLUSIONS Air leaks after pulmonary resections were at an acceptable rate in Our series. Particular patients are at a higher risk but meticulous surgical technique is vital in reducing their incidence. Our study shows that pFEV(1) is the strongest predictor of post-operative air leaks.

  • 出版日期2012-9