CLINICAL AND IMMUNOLOGICAL PREDICTORS OF ADVERSE MYOCARDIAL REMODELING AFTER TRANSCATHETER VENTRICULAR SEPTAL DEFECT CLOSURE IN CHILDREN

The present study explores the contribution of immune mechanisms to myocardial remodeling in children after transcatheter ventricular septal defect (VSD) closure. A total of 200 patients were monitored through clinical assessment, echocardiography, cardiac MRI, and immunological profiling. The analysis demonstrated that excessive activation of pro-inflammatory cytokines and innate immune markers correlated with adverse remodeling, whereas balanced immune responses were linked to favorable outcomes. Based on the integration of clinical, imaging, and immunological data, a predictive model was designed, providing reliable stratification of high-risk patients. The findings may improve individualized follow-up and preventive strategies in pediatric cardiology.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-15
DOI
https://doi.org/10.5281/zenodo.17118479
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

CLINICAL AND IMMUNOLOGICAL PREDICTORS OF ADVERSE MYOCARDIAL REMODELING AFTER TRANSCATHETER VENTRICULAR SEPTAL DEFECT CLOSURE IN CHILDREN

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

CLINICAL AND IMMUNOLOGICAL PREDICTORS OF ADVERSE MYOCARDIAL REMODELING AFTER TRANSCATHETER VENTRICULAR SEPTAL DEFECT CLOSURE IN CHILDREN

article en

Abstract

The present study explores the contribution of immune mechanisms to myocardial remodeling in children after transcatheter ventricular septal defect (VSD) closure. A total of 200 patients were monitored through clinical assessment, echocardiography, cardiac MRI, and immunological profiling. The analysis demonstrated that excessive activation of pro-inflammatory cytokines and innate immune markers correlated with adverse remodeling, whereas balanced immune responses were linked to favorable outcomes. Based on the integration of clinical, imaging, and immunological data, a predictive model was designed, providing reliable stratification of high-risk patients. The findings may improve individualized follow-up and preventive strategies in pediatric cardiology.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 41%
Geochemistry and Geologic Mapping
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