Publication Name	World Journal of Clinical Cases
Manuscript ID	93968
Country	China

Received	2024-03-08 14:17
Peer-Review Started	2024-03-08 14:17
To Make the First Decision
Return for Revision	2024-04-16 21:14
Revised	2024-05-06 07:51
Second Decision	2024-05-31 02:45
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-05-31 07:11
Articles in Press	2024-05-31 07:11
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-06-09 14:59
Typeset the Manuscript	2024-06-14 01:29
Publish the Manuscript Online	2024-07-01 06:03

ISSN	2307-8960 (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/
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Category	Geriatrics & Gerontology
Manuscript Type	Retrospective Cohort Study
Article Title	Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke
Manuscript Source	Unsolicited Manuscript
All Author List	Xiao-Chen Liu, Xiao-Jie Chang, Si-Ren Zhao, Shan-Shan Zhu, Yan-Yan Tian, Jing Zhang and Xin-Yue Li
ORCID	Author(s) ORCID Number Si-Ren Zhao http://orcid.org/0009-0007-4851-9361
Funding Agency and Grant Number	Funding Agency Grant Number Shandong Province Grassroots Health Technology Innovation Program Project JCK22007
Corresponding Author	Si-Ren Zhao, MD, Doctor, Doctor, Department of Neurosurgery, Shandong Provincial Third Hospital, No. 11 Middle Wuying Mountain Road, Tianqiao District, Jinan 250031, Shandong Province, China. 871460867@qq.com
Key Words	Acute ischemic stroke; Infection; Risk factors; Nomogram prediction model; Chronic obstructive pulmonary disease
Core Tip	This study analyzed the risk factors for stroke infection in patients with acute ischemic stroke and constructed a nomogram prediction model. Age, diabetes, disturbance of consciousness, National Institutes of Health Stroke Scale score at admission, invasive surgery and chronic obstructive pulmonary disease are all important risk factors for stroke infection in patients with. The nomogram prediction model established based on these factors has high discriminative power and accuracy.
Publish Date	2024-07-01 06:03
Citation	<p>Liu XC, Chang XJ, Zhao SR, Zhu SS, Tian YY, Zhang J, Li XY. Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke. <i>World J Clin Cases</i> 2024; 12(20): 4048-4056</p>
URL	https://www.wjgnet.com/2307-8960/full/v12/i20/4048.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i20.4048

Full Article (PDF)	WJCC-12-4048-with-cover.pdf
STROBE Statement	93968-STROBE-statement.pdf
Manuscript File	93968_Auto_Edited-LJH-YJP_WangTQ.docx
Answering Reviewers	93968-answering-reviewers.pdf
Audio Core Tip	93968-audio.mp3
Biostatistics Review Certificate	93968-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	93968-conflict-of-interest-statement.pdf
Copyright License Agreement	93968-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	93968-foundation-statement.pdf
Signed Informed Consent Form(s) or Document(s)	93968-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	93968-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	93968-non-native-speakers.pdf
Peer-review Report	93968-peer-reviews.pdf
Scientific Misconduct Check	93968-scientific-misconduct-check.png
Scientific Editor Work List	93968-scientific-editor-work-list.pdf
CrossCheck Report	93968-crosscheck-report.pdf
CrossCheck Report	93968-crosscheck-report.png