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Published on: June 12, 2020
Electrocardiographic characteristics of children with newly diagnosed Duchenne muscular dystrophy
Xin Wang1, Xinmu Li2, Shujuan Chen3
1Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China.
Insights
Electrocardiograms (ECGs) reveal key abnormalities in children with Duchenne muscular dystrophy (DMD). These ECG changes, including deepened Q waves and increased R wave amplitude, can aid in early DMD detection, especially in resource-limited settings.
Area of Science:
- Pediatric Cardiology
- Neuromuscular Disorders
- Medical Diagnostics
Background:
- Electrocardiograms (ECGs) are vital non-invasive screening tools for Duchenne muscular dystrophy (DMD) patients.
- Understanding ECG characteristics in newly diagnosed DMD children is crucial for early identification and management.
Purpose of the Study:
- To investigate and summarize the specific electrocardiographic features of children newly diagnosed with Duchenne muscular dystrophy.
- To compare ECG parameters between DMD patients and a control group, analyzing age and genotype subgroups.
Main Methods:
- A retrospective, single-center study involving 44 children diagnosed with DMD via genetic testing.
- Manual measurement of 12-lead ECG parameters and comparative analysis against a control group.
- Assessment of ECG differences across various age and genotype subgroups.
Main Results:
- Significant ECG abnormalities were found in DMD children, including deepened Q waves (V5-V6), increased R wave amplitude (chest leads), higher R/S ratio (V1), and elevated Sokolow-Lyon index.
- Abnormalities progressed with age, becoming more evident after age 7.
- The study enrolled 43 males (97.7%) with an average age at diagnosis of 36.78 months.
Conclusions:
- Observed ECG abnormalities in DMD children are significant indicators for early diagnosis.
- ECG analysis can be a valuable tool for supporting early Duchenne muscular dystrophy detection, particularly in resource-limited clinical environments.
Background:
The electrocardiograms (ECGs) serve as a critical and routine screening tool of non-invasive imaging for Duchenne muscular dystrophy (DMD) patients. Our study aims to summarize and investigate the electrocardiographic characteristics of newly diagnosed DMD children.
Methods:
We conducted a single-center retrospective study to collect all DMD children diagnosed through genetic testing at Tianjin Children's Hospital from July 2018 to December 2023. 12‑lead ECGs were recorded and ECG parameters were manually measured. The comparative analyses were conducted to assess the differences in ECG parameters between DMD and normal children across various age and genotype subgroups.
Results:
A total of 44 children diagnosed with DMD were retrospectively enrolled, including 43 males (97.7 %). The average age at diagnosis was 36.78 ± 21.69 months old. Comparison of ECG between the DMD group and control group suggested that the abnormal ECG parameters such as deepened Q wave amplitude in leads V5-V6 (p < 0.01), increased R wave amplitude in chest leads (p < 0.01), a higher R/S wave amplitude ratio in lead V1 (p < 0.01), and an increased Sokolow-Lyon index (p = 0.02). The results revealed after the age of 7, additional ECG abnormalities became evident, reflecting a progression in the severity and number of abnormalities with increasing age.
Conclusions:
The ECG abnormalities observed in this study could play a crucial role in supporting the early detection of DMD in resource-limited clinical settings.
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