Clinical predictors of a diagnosis of idiopathic pulmonary fibrosis

Am J Respir Crit Care Med. 2010 Apr 15;181(8):832-7. doi: 10.1164/rccm.200906-0959OC. Epub 2010 Jan 7.

Abstract

Rationale: 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.

Objectives: 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).

Methods: 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.

Measurements and main results: 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.

Conclusions: 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 types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Biopsy
  • Diagnosis, Differential
  • Exercise Test / methods
  • Exercise Test / statistics & numerical data
  • Female
  • Humans
  • Idiopathic Interstitial Pneumonias / diagnosis
  • Idiopathic Pulmonary Fibrosis / diagnosis*
  • Idiopathic Pulmonary Fibrosis / pathology
  • Lung / diagnostic imaging
  • Lung / pathology
  • Male
  • Middle Aged
  • Observer Variation
  • Predictive Value of Tests
  • Reproducibility of Results
  • Respiratory Function Tests / methods
  • Respiratory Function Tests / statistics & numerical data
  • Retrospective Studies
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods