Electrocardiographic Markers as Predictors of Pulmonary Arterial Hypertension in Children with Acyanotic CHD

Introduction: Pulmonary arterial hypertension (PAH) is a life-threatening complication of uncorrected acyanotic congenital heart disease (CHD). While right heart catheterization (RHC) is the diagnostic gold standard, its invasive nature and limited accessibility in low-resource settings underscore the need for alternative tools. This study aims to evaluate the diagnostic utility of electrocardiography (ECG) markers in predicting PAH severity among children with acyanotic CHD in Bangladesh. Methods & Materials: This cross-sectional analytical study included 83 children (age range: 0.6–17 years) diagnosed with acyanotic CHD at a tertiary care hospital. All participants underwent ECG and cardiac catheterization to assess mean pulmonary artery pressure (mPAP). ECG parameters were analyzed for diagnostic accuracy and correlation with mPAP. Results: PAH was identified in 72.3% of patients, with 40.96% exhibiting severe PAH. R ≥ 7 mm in V1, S ≥ 7 mm in V5, and R V1 + S V5 ≥ 10 mm demonstrated the highest sensitivities (85.0%, 88.3%, and 83.3%, respectively). The composite R V1 + S V5 had the strongest correlation with mPAP (r = 0.68, p < 0.001). All ECG markers assessed showed statistically significant associations with mPAP. Conclusion: ECG parameters—particularly R in V1, S in V5, and their composite—show strong diagnostic value in predicting PAH in children with acyanotic CHD. ECG offers a feasible, cost-effective screening alternative in resource-limited settings.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-27
DOI
https://doi.org/10.5281/zenodo.17245764
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrocardiographic Markers as Predictors of Pulmonary Arterial Hypertension in Children with Acyanotic CHD

Zenodo (CERN European Organization for Nuclear Research)
Image Processing and 3D Reconstruction
article

Electrocardiographic Markers as Predictors of Pulmonary Arterial Hypertension in Children with Acyanotic CHD

article en

Abstract

Introduction: Pulmonary arterial hypertension (PAH) is a life-threatening complication of uncorrected acyanotic congenital heart disease (CHD). While right heart catheterization (RHC) is the diagnostic gold standard, its invasive nature and limited accessibility in low-resource settings underscore the need for alternative tools. This study aims to evaluate the diagnostic utility of electrocardiography (ECG) markers in predicting PAH severity among children with acyanotic CHD in Bangladesh. Methods & Materials: This cross-sectional analytical study included 83 children (age range: 0.6–17 years) diagnosed with acyanotic CHD at a tertiary care hospital. All participants underwent ECG and cardiac catheterization to assess mean pulmonary artery pressure (mPAP). ECG parameters were analyzed for diagnostic accuracy and correlation with mPAP. Results: PAH was identified in 72.3% of patients, with 40.96% exhibiting severe PAH. R ≥ 7 mm in V1, S ≥ 7 mm in V5, and R V1 + S V5 ≥ 10 mm demonstrated the highest sensitivities (85.0%, 88.3%, and 83.3%, respectively). The composite R V1 + S V5 had the strongest correlation with mPAP (r = 0.68, p < 0.001). All ECG markers assessed showed statistically significant associations with mPAP. Conclusion: ECG parameters—particularly R in V1, S in V5, and their composite—show strong diagnostic value in predicting PAH in children with acyanotic CHD. ECG offers a feasible, cost-effective screening alternative in resource-limited settings.

Zenodo (CERN European Organization for Nuclear Research)
Bangladesh University (BD), Guru Gobind Singh Medical College and Hospital (IN), Ibrahim Cardiac Hospital & Research Institute (BD), Square Hospitals (BD), National Institute of Cancer Research and Hospital (BD), Dhaka Medical College and Hospital (BD)
Openalex Percentile: Top 44%
Image Processing and 3D Reconstruction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Electrocardiographic Markers as Predictors of Pulmonary Arterial Hypertension in Children with Acyanotic CHD · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS