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8/2/2017 8:20:05 AM | Browse: 668 | Download: 1028
Publication Name World Journal of Critical Care Medicine
Manuscript ID 33568
Country Germany
Received
2017-02-17 09:05
Peer-Review Started
2017-02-17 17:46
To Make the First Decision
2017-04-14 10:33
Return for Revision
2017-04-20 09:12
Revised
2017-05-02 21:11
Second Decision
2017-05-07 11:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2017-05-15 05:53
Articles in Press
2017-05-15 05:53
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2017-07-26 07:16
Publish the Manuscript Online
2017-08-02 08:20
ISSN 2220-3141(online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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 Authors 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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
Category Critical Care Medicine
Manuscript Type Evidence-Based Medicine
Article Title Algorithm-based arterial blood sampling recognition increasing safety in point-of-care diagnostics
Manuscript Source Invited Manuscript
All Author List Jörg Peter, Wilfried Klingert, Kathrin Klingert, Karolin Thiel, Daniel Wulff, Alfred Königsrainer, Wolfgang Rosenstiel and Martin Schenk
Funding Agency and Grant Number
Corresponding Author Dr. Martin Schenk, Department of General, Visceral and Transplant Surgery, University Hospital Tübingen, Paul-Ehrlich-Straße 36, 72076 Tübingen, Germany. martin.schenk@med.uni-tuebingen.de
Key Words Blood withdrawal detection; Sample dating algorithm; Arterial blood gas analysis; Patient monitoring; Point-of-care diagnostics
Core Tip Blood samplings for point-of-care analysis are essential procedures performed in large quantities in hospital wards every day. Whereas many guidelines and good practices exist, human error may still occur and additional safeguards are needed to avoid mix-ups. Using data from arterial blood pressure monitoring, which regularly is present in critical patients for whom errors would be most severe, different features, even the absence of information, may be used for analysis. We developed a novel approach accounting for lack of data in arterial blood pressure monitoring to determine the exact time of blood withdrawal for better sample dating and patient identification.
Publish Date 2017-08-02 08:20
Citation Peter J, Klingert W, Klingert K, Thiel K, Wulff D, Königsrainer A, Rosenstiel W, Schenk M. Algorithm-based arterial blood sampling recognition increasing safety in point-of-care diagnostics. World J Crit Care Med 2017; 6(3): 172-178
URL http://www.wjgnet.com/2220-3141/full/v6/i3/172.htm
DOI http://dx.doi.org/10.5492/wjccm.v6.i3.172
Full Article (PDF) WJCCM-6-172.pdf
Full Article (Word) WJCCM-6-172.doc
Manuscript File 33568-Review.docx
Answering Reviewers 33568-Answering reviewers.pdf
Audio Core Tip 33568-Audio core tip.mp3
Biostatistics Review Certificate 33568-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 33568-Conflict-of-interest statement.pdf
Copyright License Agreement 33568-Copyright assignment.pdf
Institutional Animal Care and Use Committee Approval Form or Document Institutional_Animal_Care_and_Use_Committee_Statement_20170216181529.pdf
Peer-review Report 33568-Peer-review(s).pdf
Scientific Misconduct Check 33568-Scientific misconduct check.pdf
Scientific Editor Work List 33568-Scientific editor work list.pdf