ArticleClinical cardiology2019
Prediction of spontaneous closure of ventricular septal defect and guidance for clinical follow-up.
Article in Clinical cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- Economic Impact of Echocardiography Use in the Follow-Up of Small and Small to Moderate Size Muscular Ventricular Septal Defects.Pediatric cardiology · 2026Article
- Assessment of Fetal Cardiac Geometry and Systolic Function in Fetuses With Ventricular Septal Defect During the Second Trimester Using Fetal Heart Quantification Technology.Prenatal diagnosis · 2025Article
- Predictive Scoring System for Spontaneous Closure of Infant Ventricular Septal Defect: The P-VSD Score.Pediatric cardiology · 2025Article
- Development and validation of a prognostic risk model for pediatric patients with left-to-right shunt congenital heart disease and heart failure.Frontiers in public health · 2025Article
- Risk factor analysis for adverse prognosis of the fetal ventricular septal defect (VSD).BMC pregnancy and childbirth · 2023Article
- Biomarkers for isolated congenital heart disease based on maternal amniotic fluid metabolomics analysis.BMC cardiovascular disorders · 2022Article
- Prediction of spontaneous closure of ventricular septal defect and guidance for clinical follow-up.Clinical cardiology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
aimTo predict the spontaneous closure of ventricular septal defect (VSD) and assist pediatrician to manage VSD children.
methodsBetween January 2008 and December 2016, 132 children diagnosed with isolated VSD by echocardiography were enrolled. All participating children were followed-up by echocardiography yearly until the closure of VSD or 6 years old. The clinical indicators and echocardiographic parameters of patients were collected. Statistically significant factors were used to establish a Logistic Regression model for predicting spontaneous closure of VSD. Receiver operating characteristic (ROC) analysis was used to assess the specificity and sensitivity of Logistic Regression model.
resultsSpontaneous closure occurred in 60% of all patients; 57% in perimembranous VSD (p-VSD) and 64% in muscular VSD (m-VSD) patients. Initial diagnosis age, defect size, aneurysms tissue of the ventricular membranous septum (ATVMS), pulmonary hypertension (PH), and left ventricular diastolic dimension (LVDD) were statistically significant. Defect size, ATVMS and LVDD were determined by the Logistic Regression model as representative factor. P-VSD and m-VSD model had areas under the ROC curves 0.854 and 0.898, respectively.
conclusionWe inferred that defect size, ATVMS and LVDD were characteristic and representative predictors for spontaneous closure of VSD. And we summarized the prognostic factors and recommended a follow-up criteria to assist the pediatrician managing VSD children.
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