A clinical prediction rule for pulmonary complications after thoracic surgery for primary lung cancer. Academic Article uri icon

Overview

abstract

  • BACKGROUND: There is controversy surrounding the value of the predicted postoperative diffusing capacity of lung for carbon monoxide (DLCOppo) in comparison to the forced expired volume in 1 s for prediction of pulmonary complications (PCs) after thoracic surgery. METHODS: Using a prospective database, we performed an analysis of 956 patients who had resection for lung cancer at a single institution. PC was defined as the occurrence of any of the following: atelectasis, pneumonia, pulmonary embolism, respiratory failure, and need for supplemental oxygen at hospital discharge. RESULTS: PCs occurred in 121 of 956 patients (12.7%). Preoperative chemotherapy (odds ratio 1.64, 95% confidence interval 1.06-2.55, P = 0.02, point score 2) and a lower DLCOppo (odds ratio per each 5% decrement 1.13, 95% confidence interval 1.06-1.19, P < 0.0001, point score 1 per each 5% decrement of DLCOppo less than 100%) were independent risk factors for PCs. We defined 3 overall risk categories for PCs: low < or =10 points, 39 of 448 patients (9%); intermediate 11-13 points, 37 of 256 patients (14%); and high > or =14 points, 42 of 159 patients (26%). The median (range) length of hospital stay was significantly greater for patients who developed PCs than for those who did not: 12 (3-113) days vs 6 (2-39) days, P < 0.0001, respectively. Similarly, 30-day mortality was significantly more frequent for patients who developed PCs than for those who did not: 16 of 121 (13.2%) vs 6 of 835 (0.7%), P < 0.0001. CONCLUSIONS: These data show that PCs after thoracic surgery for lung cancer can be predicted with moderate accuracy based on DLCOppo and whether patients had chemotherapy. Forced expired volume in 1 s was not a predictor of PCs.

publication date

  • October 27, 2009

Research

keywords

  • Lung Diseases
  • Lung Neoplasms
  • Postoperative Complications
  • Thoracic Surgical Procedures

Identity

Scopus Document Identifier

  • 77951742033

Digital Object Identifier (DOI)

  • 10.1213/ANE.0b013e3181bf5c99

PubMed ID

  • 19861366

Additional Document Info

volume

  • 110

issue

  • 5