Pereverzeva KG. Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions. World J Cardiol 2025; 17(10): 112428 [DOI: 10.4330/wjc.v17.i10.112428]
Corresponding Author of This Article
Kristina G Pereverzeva, MD, Associate Professor, Department of Hospital Therapy with a Course in Medical and Social Expertise, Federal State Budgetary Educational Institution of Higher Education I.P. Pavlov Ryazan State Medical University of the Ministry of Health of the Russian Federation, 96 Stroykova Street, Ryazan 390026, Ryazanskaya Oblast, Russia. pereverzevakg@gmail.com
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Cardiac & Cardiovascular Systems
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Editorial
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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/
Oct 26, 2025 (publication date) through Oct 27, 2025
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Publication Name
World Journal of Cardiology
ISSN
1949-8462
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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Pereverzeva KG. Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions. World J Cardiol 2025; 17(10): 112428 [DOI: 10.4330/wjc.v17.i10.112428]
World J Cardiol. Oct 26, 2025; 17(10): 112428 Published online Oct 26, 2025. doi: 10.4330/wjc.v17.i10.112428
Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions
Kristina G Pereverzeva
Kristina G Pereverzeva, Department of Hospital Therapy with a Course in Medical and Social Expertise, Federal State Budgetary Educational Institution of Higher Education I.P. Pavlov Ryazan State Medical University of the Ministry of Health of the Russian Federation, Ryazan 390026, Ryazanskaya Oblast, Russia
Author contributions: Pereverzeva KG conceptualized, designed, investigated, and wrote the editorial.
Conflict-of-interest statement: The author declare that has no conflict of interest.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Kristina G Pereverzeva, MD, Associate Professor, Department of Hospital Therapy with a Course in Medical and Social Expertise, Federal State Budgetary Educational Institution of Higher Education I.P. Pavlov Ryazan State Medical University of the Ministry of Health of the Russian Federation, 96 Stroykova Street, Ryazan 390026, Ryazanskaya Oblast, Russia. pereverzevakg@gmail.com
Received: July 28, 2025 Revised: August 13, 2025 Accepted: September 22, 2025 Published online: October 26, 2025 Processing time: 89 Days and 22.3 Hours
Abstract
The innovative study by Zhang et al published in the World Journal of Cardiology focused on predicting 30-day mortality in patients with acute myocardial infarction complicated by ventricular septal rupture at high altitudes. Based on a retrospective analysis of 48 patients from Yunnan Province, China, the authors identified four independent predictors of mortality: Age; Elevated uric acid levels; Interleukin-6 and decreased hemoglobin. Integrating these factors into a nomogram demonstrated high predictive accuracy (area under the curve = 0.939). This model addressed the critical challenge of risk stratification in the resource-limited settings typical of high-altitude areas. This editorial underscored the practical value of the nomogram for timely identification of candidates for intensive therapy and surgical intervention while emphasizing the need for model validation in multicenter cohorts to optimize the management of these patients.
Core Tip: In resource-limited high-altitude regions, ventricular septal rupture complicating myocardial infarction is associated with high mortality rates. Zhang et al developed a nomogram predicting 30-day mortality in patients with ventricular septal rupture, incorporating the following parameters: Age; Uric acid levels; Interleukin-6 and hemoglobin. The model demonstrated high predictive accuracy (area under the curve = 0.939) and enabled timely identification of candidates for emergency surgical intervention. The primary limitation for clinical implementation is the lack of routine interleukin-6 testing availability in most healthcare facilities. Multicenter validation is required prior to adoption in clinical practice.
