| ISSN |
1949-8462 (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) 2025. 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 |
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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 |
Hematology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Risk factors and predictive model for mortality in acute myocardial infarction with ventricular septal rupture at high altitude
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Li-Hong Zhang, Zhi-Fu Cen, Qian Qiao, Xue-Rui Ye, Lu Cheng, Gui-Qin Liu, Yi Liu, Xing-Qiang Zhang, Xian-Feng Pan, Hao-Ling Zhang and Jing-Jing Zhang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Science and Technology Department of Yunnan Province - Kunming Medical University, Kunming Medical joint special project - surface project |
No.202401AY070001-164 |
| Yunnan Provincial Department of Science and Technology Science and Technology Plan Project - Key Research and Development Program |
No.202103AC100004 |
| Yunnan Provincial Clinical Research Center Cardiovascular Diseases - New Technology Research for Development Project for Diagnosis and Treatment Cardiovascular Diseases |
No.202102AA310002 |
| Yunnan Provincial Department of Science and Technology Science and Technology Plan Project—Major Science and Technology Special Projects |
No.202405AJ310003 |
|
| Corresponding Author |
Jing-Jing Zhang, Assistant Professor, Department of Cardiovascular Medicine, Fuwai Yunnan Hospital, Chinese Academy Medical Sciences, No. 88, East Kunming Road, Kunming 650000, Yunnan Province, China. zhangjingjing1@kmmu.edu.cn |
| Key Words |
High-altitude regions; Acute myocardial infarction complicated by ventricular septal rupture; Mortality risk factors; Nomogram predictive model |
| Core Tip |
This study identifies key clinical factors—age, uric acid, interleukin-6, and hemoglobin—as significant predictors of 30-day mortality in acute myocardial infarction complicated by ventricular septal rupture at high altitudes. A nomogram model developed from these risk factors demonstrates excellent predictive power, offering a valuable tool for early mortality risk assessment and intervention in high-risk populations. |
| Publish Date |
2025-07-22 08:44 |
| Citation |
Zhang LH, Cen ZF, Qiao Q, Ye XR, Cheng L, Liu GQ, Liu Y, Zhang XQ, Pan XF, Zhang HL, Zhang JJ. Risk factors and predictive model for mortality in acute myocardial infarction with ventricular septal rupture at high altitude. World J Cardiol 2025; 17(7): 109044 |
| URL |
https://www.wjgnet.com/1949-8462/full/v17/i7/109044.htm |
| DOI |
https://dx.doi.org/10.4330/wjc.v17.i7.109044 |
