Clinical predictors of a diagnosis of idiopathic pulmonary fibrosis. Academic Article uri icon

Overview

MeSH

  • Age Factors
  • Biopsy
  • Diagnosis, Differential
  • Exercise Test
  • Female
  • Humans
  • Idiopathic Interstitial Pneumonias
  • Lung
  • Male
  • Middle Aged
  • Observer Variation
  • Predictive Value of Tests
  • Reproducibility of Results
  • Respiratory Function Tests
  • Retrospective Studies
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed

MeSH Major

  • Idiopathic Pulmonary Fibrosis

abstract

  • Idiopathic pulmonary fibrosis (IPF) and other idiopathic interstitial pneumonias (IIPs) have similar clinical and radiographic features, but their histopathology, response to therapy, and natural history differ. A surgical lung biopsy is often required to distinguish between these entities. We sought to determine if clinical variables could predict a histopathologic diagnosis of IPF in patients without honeycomb change on high-resolution computed tomography (HRCT). Data from 97 patients with biopsy-proven IPF and 38 patients with other IIPs were examined. Logistic regression models were built to identify the clinical variables that predict histopathologic diagnosis of IPF. Increasing age and average total HRCT interstitial score on HRCT scan of the chest may predict a biopsy confirmation of IPF. Sex, pulmonary function, presence of desaturation, or distance walked during a 6-minute walk test did not help discriminate pulmonary fibrosis from other IIPs. Clinical data may be used to predict a diagnosis of IPF over other IIPs. Validation of these data with a prospective study is needed.

publication date

  • April 15, 2010

has subject area

  • Age Factors
  • Biopsy
  • Diagnosis, Differential
  • Exercise Test
  • Female
  • Humans
  • Idiopathic Interstitial Pneumonias
  • Idiopathic Pulmonary Fibrosis
  • Lung
  • Male
  • Middle Aged
  • Observer Variation
  • Predictive Value of Tests
  • Reproducibility of Results
  • Respiratory Function Tests
  • Retrospective Studies
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed

Research

keywords

  • Journal Article

Identity

Language

  • eng

PubMed Central ID

  • PMC2854332

Digital Object Identifier (DOI)

  • 10.1164/rccm.200906-0959OC

PubMed ID

  • 20056903

Additional Document Info

start page

  • 832

end page

  • 837

volume

  • 181

number

  • 8