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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Early Identification of Prolonged QT Interval for Prevention of Sudden Infant Death
Georgia Sarquella-Brugada1,2, Oscar García-Algar3, María Dolores Zambrano1
1Arrhythmias Unit, Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain.
Insights
Routine electrocardiograms in newborns can identify 0.14% with long QT syndrome, enabling early intervention to prevent sudden infant death. Genetic testing further aids diagnosis and risk assessment for affected families.
Area of Science:
- Pediatrics
- Cardiology
- Genetics
Background:
- Long QT syndrome is a primary cause of sudden infant death.
- Early diagnosis via electrocardiogram (ECG) can prevent lethal events.
- ECG inclusion in neonatal screening is debated.
Purpose of the Study:
- To evaluate the clinical value of ECG and follow-up in newborns for long QT syndrome.
- To assess the effectiveness of early detection and intervention strategies.
Main Methods:
- ECG screening in 685 neonates within the first week of life.
- One-year follow-up for QTc > 450 ms.
- Massive sequencing genetic analysis for QTc > 470 ms.
Main Results:
- 54 neonates had QTc > 450 ms/<470 ms, normalizing within 6 months.
- Eight neonates had QTc > 480 ms, with some receiving pharmacological treatment.
- Genetic variants identified in 5 cases; 3 had a family history of sudden death.
Conclusions:
- 0.14% of neonates had definite long QT syndrome, supporting routine ECG implementation.
- ECG is an effective, non-invasive tool to prevent sudden death in neonates and families.
- Genetic analysis is crucial for diagnosing arrhythmias and identifying at-risk relatives for personalized prevention.
Abstract:
Introduction: Long QT syndrome is the main arrhythmogenic disease responsible for sudden death in infants, especially in the first days of life. Performing an electrocardiogram in newborns could enable early diagnosis and adoption of therapeutic measures focused on preventing lethal arrhythmogenic events. However, the inclusion of an electrocardiogram in neonatal screening protocols still remains a matter of discussion. To comprehensively analyse the potential clinical value of performing an electrocardiogram and subsequent follow-up in a cohort of newborns. Methods: Electrocardiograms were performed in 685 neonates within the first week of life. One year follow-up was performed if QTc > 450 ms identified. Comprehensive genetic analysis using massive sequencing was performed in all cases with QTc > 470 ms. Results: We identified 54 neonates with QTc > 450 ms/ <470 ms; all normalized QTc values within 6 months. Eight cases had QTc > 480 ms at birth and, if persistent, pharmacological treatment was administrated during follow-up. A rare variant was identified as the potential cause of long QT syndrome in five cases. Three cases showed a family history of sudden arrhythmogenic death. Conclusions: Our prospective study identifies 0.14% of cases with a definite long QT, supporting implementation of electrocardiograms in routine pediatric protocols. It is an effective, simple and non-invasive approach that can help prevent sudden death in neonates and their relatives. Genetic analyses help to unravel the cause of arrhythmogenic disease in diagnosing neonates. Further, clinical assessment and genetic analysis of relatives allowed early identification of family members at risk of arrhythmias helping to adopt preventive personalized measures.
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