Diagnostic Classification of Interstitial Lung Disease in Clinical Practice.
Diagnostic classification
Interstitial lung disease
Pulmonary fibrosis
Journal
Clinics in chest medicine
ISSN: 1557-8216
Titre abrégé: Clin Chest Med
Pays: United States
ID NLM: 7907612
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
entrez:
24
5
2021
pubmed:
25
5
2021
medline:
20
7
2021
Statut:
ppublish
Résumé
Interstitial lung diseases (ILDs) are challenging to diagnose, requiring integration of multiple complex features that are often difficult to interpret. This article reviews a pragmatic approach to ILD diagnosis and classification, focusing on diagnostic tools and strategies that are used to separate different subtypes and identify the most appropriate management. We discuss the evolution of ILD classification and the contemporary approach that integrates routinely used diagnostic tools in a multidisciplinary discussion. We highlight the increasing importance of taking a multipronged approach to ILD classification that reflects the recent emphasis on disease behavior while also considering etiopathogenesis and morphologic features.
Identifiants
pubmed: 34024401
pii: S0272-5231(21)00029-0
doi: 10.1016/j.ccm.2021.03.002
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
251-261Subventions
Organisme : NHLBI NIH HHS
ID : K23 HL146942
Pays : United States
Informations de copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of Interest Disclosures A. Adegunsoye is supported by a career development award from the National Heart, Lung, and Blood Institute (K23HL146942), and has received speaking and advisory board fees from Boehringer Ingelheim and grant funding for interstitial lung disease research from the Pulmonary Fibrosis Foundation. C.J. Ryerson is supported by a Health Professional Investigator Award from the Michael Smith Foundation for Health Research.