Abstract 4366660: Phenotypic Conversion in a Rare Hypertrophic Cardiomyopathy Phenocopy: Longitudinal Observations Among Adolescent Patients with PRKAG2 Syndrome

Introduction/Background: PRKAG2 Syndrome is an ultra-rare non-sarcomeric hypertrophic cardiomyopathy phenocopy associated with excessive myocardial glycogen deposition, ventricular pre-excitation, atrial tachyarrhythmias, and cardiac conduction system disease. Phenotypic conversion in this disease—the progression from phenotype negative to phenotype positive—is poorly understood. Research Question: What are the patterns, timing, and predictors of phenotypic conversion in patients with PRKAG2 Syndrome? Methods: We retrospectively analyzed six adolescents with the pathogenic R302Q variant in PRKAG2. Serial clinical, electrocardiographic (ECG), and echocardiographic data were reviewed over an average of 11.7 years. Phenotypic conversion was defined as the emergence of new symptoms, ECG changes, cardiac events, cardiac structural or functional features. Results: All six patients, from three unrelated families, had a parent with PRKAG2 syndrome. The average age at molecular diagnosis was 9.3 years. Baseline features included mean PR interval 126 ms, mean QRS duration 90 ms, mean maximum LV wall thickness (MLVWT) 8.2 mm, mean LV mass index (LVMI) 77.2 g/m 2 , mean LVEF 64.3%, and mean Global longitudinal strain (GLS)-19.8%. At baseline, all patients were NYHA I with normal rhythm, conduction, cardiac structure, and function. Mean phenotypic conversion age was 14.7 years (12–17), occurring 5.3 years (4–7) after molecular diagnosis. Electrophysiologic changes included PR interval shortening (mean change -11.3 ms,p=0.031) and QRS duration widening (mean change +13.3 ms, p=0.043). New-onset right bundle branch block (RBBB) was observed in 2 patients and left anterior hemiblock (LAHB) in 1 patient. Echocardiography revealed significant increases in MLVWT (mean +5.0mm,p=0.031) and LVMI (mean +16.0g/m 2 ,p=0.031). Mean LVMI increased by 3.2 g/m 2 /year. Average GLS worsened (mean –3.3%,p=0.031);LVEF showed a non-significant drop(mean change–3.0%). At 13-year median follow-up, P004 and P005 developed NYHA II symptoms; P004 required a pacemaker at age 25 for complete heart block. The remaining four patients remained asymptomatic throughout the follow-up period. Conclusions: PRKAG2 Syndrome is a dynamic disorder with a high rate of phenotypic conversion, involving electrocardiographic and echocardiographic abnormalities. These findings underscore the need for longitudinal surveillance and early intervention strategies tailored to the unique trajectory of PRKAG2 cardiomyopathy.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4366660
Primary Topic
Glycogen Storage Diseases and Myoclonus
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4366660: Phenotypic Conversion in a Rare Hypertrophic Cardiomyopathy Phenocopy: Longitudinal Observations Among Adolescent Patients with PRKAG2 Syndrome

Ramiah Rajeshkannan, Jaideep Menon, Hisham Ahamed, Aparna Hari et al.
Circulation
Glycogen Storage Diseases and Myoclonus
article

Abstract 4366660: Phenotypic Conversion in a Rare Hypertrophic Cardiomyopathy Phenocopy: Longitudinal Observations Among Adolescent Patients with PRKAG2 Syndrome

Ramiah Rajeshkannan, Jaideep Menon, Hisham Ahamed, Aparna Hari, Navin Mathew
article en

Abstract

Introduction/Background: PRKAG2 Syndrome is an ultra-rare non-sarcomeric hypertrophic cardiomyopathy phenocopy associated with excessive myocardial glycogen deposition, ventricular pre-excitation, atrial tachyarrhythmias, and cardiac conduction system disease. Phenotypic conversion in this disease—the progression from phenotype negative to phenotype positive—is poorly understood. Research Question: What are the patterns, timing, and predictors of phenotypic conversion in patients with PRKAG2 Syndrome? Methods: We retrospectively analyzed six adolescents with the pathogenic R302Q variant in PRKAG2. Serial clinical, electrocardiographic (ECG), and echocardiographic data were reviewed over an average of 11.7 years. Phenotypic conversion was defined as the emergence of new symptoms, ECG changes, cardiac events, cardiac structural or functional features. Results: All six patients, from three unrelated families, had a parent with PRKAG2 syndrome. The average age at molecular diagnosis was 9.3 years. Baseline features included mean PR interval 126 ms, mean QRS duration 90 ms, mean maximum LV wall thickness (MLVWT) 8.2 mm, mean LV mass index (LVMI) 77.2 g/m 2 , mean LVEF 64.3%, and mean Global longitudinal strain (GLS)-19.8%. At baseline, all patients were NYHA I with normal rhythm, conduction, cardiac structure, and function. Mean phenotypic conversion age was 14.7 years (12–17), occurring 5.3 years (4–7) after molecular diagnosis. Electrophysiologic changes included PR interval shortening (mean change -11.3 ms,p=0.031) and QRS duration widening (mean change +13.3 ms, p=0.043). New-onset right bundle branch block (RBBB) was observed in 2 patients and left anterior hemiblock (LAHB) in 1 patient. Echocardiography revealed significant increases in MLVWT (mean +5.0mm,p=0.031) and LVMI (mean +16.0g/m 2 ,p=0.031). Mean LVMI increased by 3.2 g/m 2 /year. Average GLS worsened (mean –3.3%,p=0.031);LVEF showed a non-significant drop(mean change–3.0%). At 13-year median follow-up, P004 and P005 developed NYHA II symptoms; P004 required a pacemaker at age 25 for complete heart block. The remaining four patients remained asymptomatic throughout the follow-up period. Conclusions: PRKAG2 Syndrome is a dynamic disorder with a high rate of phenotypic conversion, involving electrocardiographic and echocardiographic abnormalities. These findings underscore the need for longitudinal surveillance and early intervention strategies tailored to the unique trajectory of PRKAG2 cardiomyopathy.

CirculationVol. 152(Suppl_3)
Amrita Institute of Medical Sciences and Research Centre (IN)
Openalex Percentile: Top 54%
Glycogen Storage Diseases and Myoclonus
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.