The syndrome we agreed to call bronchiolitis
File(s)jiz082.pdf (503.84 KB)
Published version
Author(s)
Polack, Fernando P
Stein, Renato T
Custovic, Adnan
Type
Journal Article
Abstract
We are ignoring evidence suggesting that the diagnosis of bronchiolitis encompasses several diseases with distinct underlying mechanisms, considerable heterogeneity in treatment responses, and ultimately different therapeutic targets. Understanding this heterogeneity may be the only way to deliver appropriate, stratified treatments.
Date Issued
2019-07-15
Date Acceptance
2019-02-16
Citation
Journal of Infectious Diseases, 2019, 220 (2), pp.184-186
ISSN
0022-1899
Publisher
Oxford University Press (OUP)
Start Page
184
End Page
186
Journal / Book Title
Journal of Infectious Diseases
Volume
220
Issue
2
Copyright Statement
© 2019 The Author(s). Published by Oxford University Press for the Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30783666
PII: 5345138
Subjects
Science & Technology
Life Sciences & Biomedicine
Immunology
Infectious Diseases
Microbiology
respiratory syncytial virus
bronchiolitis
machine learning
endotypes
RESPIRATORY SYNCYTIAL VIRUS
DOUBLE-BLIND
PREVENTION
INFANTS
ASTHMA
INFECTION
bronchiolitis
endotypes
machine learning
respiratory syncytial virus
Microbiology
11 Medical and Health Sciences
06 Biological Sciences
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2019-02-19