Accuracy of the preoperative assessment in predicting pulmonary risk after nonthoracic surgery

Am J Respir Crit Care Med. 2003 Mar 1;167(5):741-4. doi: 10.1164/rccm.200209-985BC. Epub 2002 Dec 4.

Abstract

We examined the accuracy of preoperative assessment in predicting postoperative pulmonary risk in a prospective cohort of 272 consecutive patients referred for evaluation before nonthoracic surgery. Outcomes were assessed by an independent investigator who was blinded to the preoperative data. There were 22 (8%) postoperative pulmonary complications. Statistically significant predictors of pulmonary complications (all p < or = 0.005) were as follows: hypercapnea of 45 mm Hg or more (odds ratio, 61.0), a FVC of less than 1.5 L/minute (odds ratio, 11.1), a maximal laryngeal height of 4 cm or less (odds ratio, 6.9), a forced expiratory time of 9 seconds or more (odds ratio, 5.7), smoking of 40 pack-years or more (odds ratio, 5.7), and a body mass index of 30 or more (odds ratio, 4.1). Multiple regression analyses revealed three preoperative clinical factors that are independently associated with pulmonary complications: an age of 65 years or more (odds ratio, 1.8; p = 0.02), smoking of 40 pack-years or more (odds ratio, 1.9; p = 0.02), and maximum laryngeal height of 4 cm or less (odds ratio, 2.0; p = 0.007). Thus, preoperative factors can identify those patients referred to pulmonologists or internists who are at increased risk for pulmonary complications after nonthoracic surgery.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Body Mass Index
  • Cohort Studies
  • Female
  • Humans
  • Hypercapnia / complications
  • Lung Diseases / epidemiology*
  • Lung Diseases / etiology
  • Male
  • Middle Aged
  • Odds Ratio
  • Physical Examination
  • Postoperative Complications / epidemiology*
  • Postoperative Complications / etiology
  • Prognosis
  • Prospective Studies
  • Regression Analysis
  • Respiratory Function Tests
  • Risk Factors
  • Sex Factors
  • Smoking / adverse effects