Publication Name	World Journal of Respirology
Manuscript ID	56444
Country	United Kingdom

Category	Respiratory System
Manuscript Type	Editorial
Article Title	Personalising exacerbation prediction strategies in chronic obstructive pulmonary disease
Manuscript Source	Invited Manuscript
All Author List	Paul Robert Ellis and Alice M Turner
Funding Agency and Grant Number
Corresponding Author	Paul Robert Ellis, MBChB, Research Fellow, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom. p.ellis@bham.ac.uk
Key Words	Chronic obstructive pulmonary disease; Exacerbations; Phenotypes; Endotypes; Precision medicine; Clinical
Core Tip	Chronic obstructive pulmonary disease (COPD) patients and the exacerbations they suffer are complex and heterogenous in nature. They should all be treated on an individual basis with detailed clinical history and initial work up to better understand the impact it is having on their life. Careful consideration of the benefits of treatment should be weighed up against the risks of their side effects to ensure the maximum benefit of treatment. Precision medicine is starting to appear in management of COPD, both for acute exacerbations and their prevention.
Citation	Ellis PR, Turner AM. Personalising exacerbation prediction strategies in chronic obstructive pulmonary disease. World J Respirol 2020; 10(2): 11-16

Received	2020-04-30 10:57
Peer-Review Started	2020-04-30 10:57
To Make the First Decision
Return for Revision	2020-07-04 22:19
Revised	2020-08-22 15:35
Second Decision	2020-09-08 12:07
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-09-08 20:30
Articles in Press	2020-09-08 20:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2020-10-16 05:40

ISSN	2218-6255 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright	The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com