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Articles Published Processes
12/27/2022 9:49:43 AM | Browse: 119 | Download: 462
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Received |
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2022-08-27 07:15 |
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Peer-Review Started |
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2022-08-27 07:15 |
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To Make the First Decision |
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Return for Revision |
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2022-09-26 14:14 |
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Revised |
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2022-10-15 08:13 |
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Second Decision |
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2022-11-10 03:33 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2022-11-16 18:52 |
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Articles in Press |
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2022-11-16 18:52 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-11-17 09:48 |
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Publish the Manuscript Online |
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2022-12-27 09:49 |
| ISSN |
1948-9366 (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) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Nursing |
| Manuscript Type |
Observational Study |
| Article Title |
Development of a prediction model for enteral feeding intolerance in intensive care unit patients: A prospective cohort study
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xue-Mei Lu, Lan Chen, Deng-Shuai Jia, Rui Wang, Qing Yang and Shan-Shan Jin |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Lan Chen, PhD, Chief Nurse, Department of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University, No. 86 Wu Jin Road, Shanghai 200080, China. 13636317690@126.com |
| Key Words |
Enteral feeding intolerance; Critical care medicine; Clinical prediction model; Nutrition assessment; Nutritional support; Critical care nursing |
| Core Tip |
Enteral nutrition (EN) is an essential piece of providing care to critically ill patients. However, some patients will experience complications related to EN and become intolerant to this nutritional support. In this study, we developed a model to predict patients who are at high risk of enteral feeding intolerance. In the future when an intensive care unit patient requires EN, nurses can distinguish whether the patient is a high-risk patient. Then, they can allocate their time to more observation of the high-risk patient to discover the patient’s complications and administer effective measures in advance. In the long-term, this strategy will reduce the workload of the nursing staff and will achieve more accurate care. |
| Publish Date |
2022-12-27 09:49 |
| Citation |
Lu XM, Jia DS, Wang R, Yang Q, Jin SS, Chen L. Development of a prediction model for enteral feeding intolerance in intensive care unit patients: A prospective cohort study. World J Gastrointest Surg 2022; 14(12): 1363-1374 |
| URL |
https://www.wjgnet.com/1948-9366/full/v14/i12/1363.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v14.i12.1363 |
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