title: Defining and predicting severe community-acquired pneumonia.
abstract: OBJECTIVE
  Community-acquired pneumonia is a significant clinical and public health problem. Defining and predicting severe pneumonia is difficult but important.
  
  
  RESULTS
  Several new predictive models and more sophisticated approaches to describing pneumonia severity have been recently proposed, with subsequent validation in varied patient populations. Early data suggest that biomarkers may be useful in the future.
  
  
  CONCLUSIONS
  Definitions of pneumonia severity depend on the relevant clinical or public health question. A health services reference definition seems most useful in most settings. The Infectious Disease Society of America/American Thoracic Society 2007 guidelines and SMART-COP are two recent promising methods for predicting severe pneumonia at the time of presentation. The traditional pneumonia severity index and Confusion Uremia Respiratory rate Blood pressure (CURB)-65 models are less useful. Accurate assessment of severity has important implications for triage, outcome, and defining populations for research applications. Novel biomarkers, while somewhat promising, do not yet have a validated role in pneumonia severity assessment.
authors.affiliation: Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, University of Utah, Salt Lake City, Utah, USA. Samuel.Brown@imail.org
authors.forename: Samuel M
authors.initials: SM
authors.lastname: Brown
authors.forename: Nathan C
authors.initials: NC
authors.lastname: Dean
mesh_terms: D017714:Community-Acquired Infections / Q000175:diagnosis* / Q000473:pathology*; D006801:Humans; D011014:Pneumonia / Q000175:diagnosis* / Q000473:pathology*; D011379:Prognosis; D012720:Severity of Illness Index