Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions

The innovative study by Zhang <i>et al</i> published in the <i>World Journal of Cardiology</i> 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.

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Publication Details

Journal
World Journal of Cardiology
Published
2025-10-23
DOI
https://doi.org/10.4330/wjc.v17.i10.112428
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
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article

Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions

К. G. Pereverzeva
World Journal of Cardiology
Cardiac Arrest and Resuscitation
article

Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions

К. G. Pereverzeva
article en

Abstract

The innovative study by Zhang <i>et al</i> published in the <i>World Journal of Cardiology</i> 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.

World Journal of CardiologyVol. 17(10)
Ryazan State Medical University named after Academician I.P. Pavlov (RU)
Openalex Percentile: Top 52%
Cardiac Arrest and Resuscitation
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Mortality prediction in ventricular septal rupture at high altitude: A novel tool for resource-limited regions — К. G. Pereverzeva · World Journal of Cardiology (2025) | TGRS Research Map | TGRS