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Clinical predictors of a diagnosis of idiopathic pulmonary fibrosis.

Authors :
Fell CD
Martinez FJ
Liu LX
Murray S
Han MK
Kazerooni EA
Gross BH
Myers J
Travis WD
Colby TV
Toews GB
Flaherty KR
Fell, Charlene D
Martinez, Fernando J
Liu, Lyrica X
Murray, Susan
Han, Meilan K
Kazerooni, Ella A
Gross, Barry H
Myers, Jeffrey
Source :
American Journal of Respiratory & Critical Care Medicine; Apr2010, Vol. 181 Issue 8, p832-837, 6p
Publication Year :
2010

Abstract

<bold>Rationale: </bold>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.<bold>Objectives: </bold>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).<bold>Methods: </bold>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.<bold>Measurements and Main Results: </bold>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.<bold>Conclusions: </bold>Clinical data may be used to predict a diagnosis of IPF over other IIPs. Validation of these data with a prospective study is needed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1073449X
Volume :
181
Issue :
8
Database :
Complementary Index
Journal :
American Journal of Respiratory & Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
105170596
Full Text :
https://doi.org/10.1164/rccm.200906-0959OC