Long QT Syndrome Research Articles

Long QT syndrome: importance of reassessing arrhythmic risk after treatment initiation.

Risk scores are proposed for genetic arrhythmias. Having proposed in 2010 one such score (M-FACT) for the long QT syndrome (LQTS), this study aims to test whether adherence to its suggestions would be appropriate. LQT1/2/3 and genotype-negative patients without aborted cardiac arrest (ACA) before diagnosis or cardiac events (CEs) below age 1 were included in the study, focusing on an M-FACT score ≥2 (intermediate/high risk), either at presentation (static) or during follow-up (dynamic), previously associated with 40% risk of implantable cardioverter defibrillator (ICD) shocks within 4 years. Overall, 946 patients (26 ± 19 years at diagnosis, 51% female) were included. Beta-blocker (βB) therapy in 94% of them reduced the rate of those with a QTc ≥500 ms from 18% to 12% (P < .001). During 7 ± 6 years of follow-up, none died; 4% had CEs, including 0.4% with ACA. A static M-FACT ≥2 was present in 110 patients, of whom 106 received βBs. In 49/106 patients with persistent dynamic M-FACT ≥2, further therapeutic optimization (left cardiac sympathetic denervation in 55%, mexiletine in 31%, and ICD at 27%) resulted in just 7 (14%) patients with CEs (no ACA), with no CEs in the remaining 57. Additionally, 32 patients developed a dynamic M-FACT ≥2 but, after therapeutic optimization, only 3 (9%) had CEs. According to an M-FACT score ≥2, a total of 142 patients should have received an ICD, but only 22/142 (15%) were implanted, with shocks reported in 3. Beta-blockers often shorten QTc, thus changing risk scores and ICD indications for primary prevention. Yearly risk reassessment with therapy optimization leads to fewer ICD implants (3%) without increasing life-threatening events.

Generation of induced pluripotent stem cell lines from patients with LQT1 caused by heterozygous mutations in the KCNQ1 gene

Long QT Syndrome (LQTS) is a genetic heart disorder that can induce cardiac arrhythmias. The most prevalent subtype, LQT1, stems from rare variants in the KCNQ1 gene. Utilizing induced pluripotent stem cells (iPSCs) enables detailed cellular studies and personalized medicine approaches for this life-threatening condition. We generated two LQT1 iPSC lines with single nucleotide nonsense mutations, c.1031 C > T and c.1121 T > A in KCNQ1. Both lines exhibited typical iPSC morphology, expressed high levels of pluripotent markers, maintained normal karyotype, and possessed the capability to differentiate into three germ layers. These cell lines serve as important tools for investigating the biological mechanisms underlying LQT1 due to mutations in the KCNQ1 gene.

Congenital Long QT Syndrome in Children and Adolescents: A General Overview.

Congenital long QT syndrome (LQTS) represents a disorder of myocardial repolarization characterized by a prolongation of QTc interval on ECG, which can degenerate into fast polymorphic ventricular arrhythmias. The typical symptoms of LQTS are syncope and palpitations, mainly triggered by adrenergic stimuli, but it can also manifest with cardiac arrest. At least 17 genotypes have been associated with LQTS, with a specific genotype-phenotype relationship described for the three most common subtypes (LQTS1, -2, and -3). β-Blockers are the first-line therapy for LQTS, even if the choice of the appropriate patients needing to be treated may be challenging. In specific cases, interventional measures, such as an implantable cardioverter-defibrillator (ICD) or left cardiac sympathetic denervation (LCSD), are useful. The aim of this review is to highlight the current state-of-the-art knowledge on LQTS, providing an updated picture of possible diagnostic algorithms and therapeutic management.

Utilizing median and maximum QTc values improves prediction of breakthrough cardiac events in pediatric long QT syndrome.

Although prior studies indicate that a QTc > 500 ms on a single baseline 12-lead electrocardiogram (ECG) is associated with significantly increased risk of arrhythmic events in long QT syndrome (LQTS), less is known about the risk of persistent QT prolongation. We sought to determine QTc persistence and its prognostic effect on breakthrough cardiac events (BCEs) among pediatric patients treated for LQTS. We performed a retrospective analysis of 433 patients with LQTS evaluated, risk-stratified, and undergoing active guideline-based LQTS treatment between 1999 and 2019. BCEs were defined as arrhythmogenic syncope/seizure, sudden cardiac arrest (SCA), appropriate VF-terminating ICD shock, and sudden cardiac death (SCD). During the median follow-up of 5.5 years (interquartile range [IQR] = 3-9), 32 (7%) patients experienced a total of 129 BCEs. A maximum QTc threshold of 520 ms and median QTc threshold of 490 ms were determined to be strong predictors for BCEs. A landmark analysis controlling for age, sex, genotype, and symptomatic status demonstrated models utilizing both the median QTc and maximum QTc demonstrated the highest discriminatory value (c-statistic = 0.93-0.95). Patients in the high-risk group (median QTc > 490 ms and maximum QTc > 520 ms) had a significantly lower BCE free survival (70%-81%) when compared to patients in both medium-risk (93%-97%) and low-risk (98%-99%) groups. The risk of BCE among patients treated for LQTS increases not only based upon their maximum QTc, but also their median QTc (persistence of QTc prolongation). Patients with a maximum QTc > 520 ms and median QTc > 490 ms over serial 12-lead ECGs are at the highest risk of BCE while on guideline-directed medical therapy.

Single-Center Case Series Study: Barostim Improves Quality of Life Outcomes of Heart Failure Patients

The list of medications known to induce QT prolongation is long. We report here a case of long QT syndrome (LQTS) caused by use of Doxylamine, which has previously only been reported once. The patient arrived to the emergency department after having ingested two bottles of Doxylamine (roughly 96 tablets) in a suicidal attempt and was noted to have seizure-like activity prior to arrival. Upon admission she was found to have severe rhabdomyolysis and significant QTc prolongation (&gt;650 ms). Her clinical status improved over the course of hospitalization with supportive treatment that included intravenous fluids as well as electrolyte monitoring and replacement. Given the relative ubiquity of Doxylamine, the purpose of this article is to raise awareness of a unique adverse effect of a widely available medication.

Antisense oligonucleotide therapeutic approach for Timothy syndrome

Timothy syndrome (TS) is a severe, multisystem disorder characterized by autism, epilepsy, long-QT syndrome and other neuropsychiatric conditions1. TS type 1 (TS1) is caused by a gain-of-function variant in the alternatively spliced and developmentally enriched CACNA1C exon 8A, as opposed to its counterpart exon 8. We previously uncovered several phenotypes in neurons derived from patients with TS1, including delayed channel inactivation, prolonged depolarization-induced calcium rise, impaired interneuron migration, activity-dependent dendrite retraction and an unanticipated persistent expression of exon 8A2–6. We reasoned that switching CACNA1C exon utilization from 8A to 8 would represent a potential therapeutic strategy. Here we developed antisense oligonucleotides (ASOs) to effectively decrease the inclusion of exon 8A in human cells both in vitro and, following transplantation, in vivo. We discovered that the ASO-mediated switch from exon 8A to 8 robustly rescued defects in patient-derived cortical organoids and migration in forebrain assembloids. Leveraging a transplantation platform previously developed7, we found that a single intrathecal ASO administration rescued calcium changes and in vivo dendrite retraction of patient neurons, suggesting that suppression of CACNA1C exon 8A expression is a potential treatment for TS1. Broadly, these experiments illustrate how a multilevel, in vivo and in vitro stem cell model-based approach can identify strategies to reverse disease-relevant neural pathophysiology.

Digital precision medicine in rhythmology : Risk prediction of recurrences, sudden cardiac death, and outcome

Digital precision medicine is gaining increasing importance in rhythmology, especially in the treatment of cardiac arrhythmias. This trend is driven by the advancing digitization in healthcare and the availability of large amounts of data from various sources such as electrocardiograms (ECGs), implants like pacemakers and implantable cardioverter-defibrillators (ICDs), as well as wearables like smartwatches and fitness trackers. Through the analysis of this data, physicians can develop more precise and individualized diagnoses and treatment strategies for patients with cardiac arrhythmias. For example, subtle changes in ECGs can be identified, indicating potentially dangerous arrhythmias. Genetic analyses and resulting large datasets also play an increasingly significant role, especially in hereditary ion channel disorders such as long QT syndrome (LQTS) and Brugada syndrome (BrS), as well as in lone atrial fibrillation (AF). Precision medicine enables the development of individualized treatment approaches tailored to the specific needs and risk factors of each patient. This can help improve screening strategies, reduce adverse events, and ultimately enhance the quality of life for patients. Technological advancements such as big data, artificial intelligence, machine learning, and predictive analytics play acrucial role in predicting the risk of arrhythmias and sudden cardiac death. These concepts enable more precise and personalized predictions and support physicians in the treatment and monitoring of their patients.

A novel mutation in hERG gene associated with azithromycin-induced acquired long QT syndrome.

Mutations in human ether-à-go-go-related gene (hERG) potassium channels are closely associated with long QT syndrome (LQTS). Previous studies have demonstrated that macrolide antibiotics increase the risk of cardiovascular diseases. To date, the mechanisms underlying acquired LQTS remain elusive. A novel hERG mutation I1025N was identified in an azithromycin-treated patient with acquired long QT syndrome via Sanger sequencing. The mutant I1025N plasmid was transfected into HEK-293 cells, which were subsequently incubated with azithromycin. The effect of azithromycin and mutant I1025N on the hERG channel was evaluated via western blot, immunofluorescence, and electrophysiology techniques. The protein expression of the mature hERG protein was down-regulated, whereas that of the immature hERG protein was up-regulated in mutant I1025N HEK-293 cells. Azithromycin administration resulted in a negative effect on the maturation of the hERG protein. Additionally, the I1025N mutation exerted an inhibitory effect on hERG channel current. Moreover, azithromycin inhibited hERG channel current in a concentration-dependent manner. The I1025N mutation and azithromycin synergistically decreased hERG channel expression and hERG current. However, the I1025N mutation and azithromycin did not alter channel gating dynamics. These findings suggest that hERG gene mutations might be involved in the genetic susceptibility mechanism underlying acquired LQTS induced by azithromycin.

Long QT syndrome due to Doxylamine overdose

The list of medications known to induce QT prolongation is long. We report here a case of long QT syndrome (LQTS) caused by use of Doxylamine, which has previously only been reported once. The patient arrived to the emergency department after having ingested two bottles of Doxylamine (roughly 96 tablets) in a suicidal attempt and was noted to have seizure-like activity prior to arrival. Upon admission she was found to have severe rhabdomyolysis and significant QTc prolongation (&gt;650 ms). Her clinical status improved over the course of hospitalization with supportive treatment that included intravenous fluids as well as electrolyte monitoring and replacement. Given the relative ubiquity of Doxylamine, the purpose of this article is to raise awareness of a unique adverse effect of a widely available medication.

Prioritize Variant Reclassification in Pediatric Long QT Syndrome-Time to Revisit.

Congenital long QT syndrome (LQTS) is an inherited arrhythmia syndrome associated with sudden cardiac death. Accurate interpretation and classification of genetic variants in LQTS patients are crucial for effective management. All patients with LQTS with a positive genetic test over the past 18years (2002-2020) in our single tertiary pediatric cardiac center were identified. Reevaluation of the reported variants in LQTS genes was conducted using the American College of Genetics and Genomics (ACMG) guideline after refinement by the US ClinGen SVI working group and guideline by Walsh et al. on genetic variant reclassification, under multidisciplinary input. Among the 59 variants identified. 18 variants (30.5%) were reclassified. A significant larger portion of variants of unknown significance (VUS) were reclassified compared to likely pathogenic (LP)/pathogenic (P) variants (57.7% vs 9.1%, p < 0.001). The rate of reclassification was significantly higher in the limited/disputed evidence group compared to the definite/moderate evidence group (p = 0.0006). All LP/P variants were downgraded in the limited/disputed evidence group (p = 0.0057). VUS upgrades are associated with VUS located in genes within the definite/moderate evidence group (p = 0.0403) and with VUS present in patients exhibiting higher corrected QT intervals (QTc) (p = 0.0445). A significant number of pediatric LQTS variants were reclassified, particularly for VUS. The strength of the gene-disease association of the genes influences the reclassification performance. The study provides important insights and guidance for pediatricians to seek for reclassification of "outdated variants" in order to facilitate contemporary precision medicine.

Wearable electrocardiogram devices in patients with congenital long QT syndrome: The SMART-QT study

BackgroundIn patients with congenital long QT syndrome (LQTS), the risk of ventricular arrhythmia is correlated with the duration of the corrected QT interval and the changes in the ST-T wave pattern on the 12-lead surface electrocardiogram (12L-ECG). Remote monitoring of these variables could be useful. AimTo evaluate the abilities of two wearable electrocardiogram devices (Apple Watch and KardiaMobile 6L) to provide reliable electrocardiograms in terms of corrected QT interval and ST-T wave patterns in patients with LQTS. MethodsIn a prospective multicentre study (ClinicalTrials.gov identifier: NCT04728100), a 12L-ECG, a 6-lead KardiaMobile 6L electrocardiogram and two single-lead Apple Watch electrocardiograms were recorded in patients with LQTS. The corrected QT interval and ST-T wave patterns were evaluated manually. ResultsOverall, 98 patients with LQTS were included; 12.2% were children and 92.8% had a pathogenic variant in an LQTS gene. The main genotypes were LQTS type 1 (40.8%), LQTS type 2 (36.7%) and LQTS type 3 (7.1%); rarer genotypes were also represented. When comparing the ST-T wave patterns obtained with the 12L-ECG, the level of agreement was moderate with the Apple Watch (k=0.593) and substantial with the KardiaMobile 6L (k=0.651). Regarding the corrected QT interval, the correlation with 12L-ECG was strong for the Apple Watch (r=0.703 in lead II) and moderate for the KardiaMobile 6L (r=0.593). There was a slight overestimation of corrected QT interval with the Apple Watch and a subtle underestimation with the KardiaMobile 6L. ConclusionsIn patients with LQTS, the corrected QT interval and ST-T wave patterns obtained with the Apple Watch and the KardiaMobile 6L correlated with the 12L-ECG. Although wearable electrocardiogram devices cannot replace the 12L-ECG for the follow-up of these patients, they could be interesting additional monitoring tools.

Ablation of the epicardial substrate in patients with long-QT syndrome at risk of sudden death.

Sudden cardiac death remains a critical public health concern globally, affecting millions annually. Recent advances in cardiac arrhythmia mapping have demonstrated that the ventricular epicardial region has a critical arrhythmogenic role in some inherited cardiogenetic diseases. Among these, long-QT syndrome (LQTS) exposes patients to the risk of life-threatening arrhythmic events. Despite advancements, there is a need for more effective therapeutic strategies. A recent study has uncovered a noteworthy connection between LQTS and epicardial structural abnormalities, challenging the traditional view of LQTS as purely an electrical disorder. High-density mapping revealed electroanatomic abnormalities in the right ventricular epicardium, presenting a potential target for catheter ablation, to finally suppress ventricular fibrillation recurrences in high-risk LQTS patients.

A Case of Ventricular Fibrillation in Masked Long-QT Syndrome Coexisting with Coronary Vasospasm.

Although long-QT syndrome (LQTS) with a normal range QT interval at rest leads to fatal ventricular arrhythmias, it is difficult to diagnose. In this article, we present a rare case of a patient who suffered a cardiac arrest and was recently diagnosed with LQTS and coronary vasospasm. A 62-year-old man with no syncopal episodes had a cardiopulmonary arrest while running. During coronary angiography, vasospasm was induced and we prescribed coronary vasodilators, including calcium channel blockers. An exercise stress test was performed to evaluate the effect of medications and accidentally unveiled exercise-induced QT prolongation. He was diagnosed with LQTS based on diagnostic criteria. Pharmacotherapy and an implantable cardioverter defibrillator were used for his medical management. It is extremely rare for LQTS and coronary vasospasm to coexist. In cases of exercise-induced arrhythmic events, the exercise stress test might be helpful to diagnose underlying disease.

Long QT Syndrome and the Risk of Sudden Death in Adult Patients: An In-depth Analysis of Clinical Correlates and Prognostic Factors

Long QT Syndrome (LQTS) is a hereditary or acquired cardiac disorder characterized by delayed ventricular repolarization, predisposing affected individuals to life-threatening arrhythmias. While extensively studied in the pediatric population, there is a paucity of comprehensive research focusing on the clinical implications and prognostic markers of LQTS in adults. This article aims to elucidate the association between Long QT Syndrome and the heightened risk of sudden death in adult patients, exploring pertinent clinical correlates and potential prognostic factors. A systematic literature review was conducted to identify relevant studies published between 2000 and 2024, utilizing databases such as PubMed, MEDLINE, and Cochrane Library. Eligible articles were critically appraised for methodological quality and relevance to adult populations with Long QT Syndrome. Data extraction encompassed demographics, genetic predispositions, clinical presentations, electrocardiographic findings, and outcomes, focusing on the incidence of sudden death. Preliminary findings underscore the significance of a prolonged QT interval as a critical marker for adverse cardiovascular events in adults with Long QT Syndrome. Additionally, the study examines the impact of genotype-phenotype correlations, gender-related differences, and the influence of comorbidities on the risk of sudden death. Furthermore, potential therapeutic interventions and risk stratification strategies will be discussed in light of recent advancements in the field. This review aims to bridge the existing knowledge gap regarding Long QT Syndrome in the adult population, emphasizing the need for heightened clinical awareness, risk stratification, and targeted interventions to mitigate the risk of sudden death in affected individuals. The synthesis of current evidence will contribute to a more nuanced understanding of the complex interplay between Long QT Syndrome and adverse outcomes in adults, facilitating the development of tailored therapeutic approaches and improved patient outcomes

Deep Learning–Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome

Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, and sudden death. Half of patients with LQTS have a normal or borderline-normal QT interval despite LQTS often being detected by QT prolongation on resting electrocardiography (ECG). To develop a deep learning-based neural network for identification of LQTS and differentiation of genotypes (LQTS1 and LQTS2) using 12-lead ECG. This diagnostic accuracy study used ECGs from patients with suspected inherited arrhythmia enrolled in the Hearts in Rhythm Organization Registry (HiRO) from August 2012 to December 2021. The internal dataset was derived at 2 sites and an external validation dataset at 4 sites within the HiRO Registry; an additional cross-sectional validation dataset was from the Montreal Heart Institute. The cohort with LQTS included probands and relatives with pathogenic or likely pathogenic variants in KCNQ1 or KCNH2 genes with normal or prolonged corrected QT (QTc) intervals. Convolutional neural network (CNN) discrimination between LQTS1, LQTS2, and negative genetic test results. The main outcomes were area under the curve (AUC), F1 scores, and sensitivity for detecting LQTS and differentiating genotypes using a CNN method compared with QTc-based detection. A total of 4521 ECGs from 990 patients (mean [SD] age, 42 [18] years; 589 [59.5%] female) were analyzed. External validation within the national registry (101 patients) demonstrated the CNN's high diagnostic capacity for LQTS detection (AUC, 0.93; 95% CI, 0.89-0.96) and genotype differentiation (AUC, 0.91; 95% CI, 0.86-0.96). This surpassed expert-measured QTc intervals in detecting LQTS (F1 score, 0.84 [95% CI, 0.78-0.90] vs 0.22 [95% CI, 0.13-0.31]; sensitivity, 0.90 [95% CI, 0.86-0.94] vs 0.36 [95% CI, 0.23-0.47]), including in patients with normal or borderline QTc intervals (F1 score, 0.70 [95% CI, 0.40-1.00]; sensitivity, 0.78 [95% CI, 0.53-0.95]). In further validation in a cross-sectional cohort (406 patients) of high-risk patients and genotype-negative controls, the CNN detected LQTS with an AUC of 0.81 (95% CI, 0.80-0.85), which was better than QTc interval-based detection (AUC, 0.74; 95% CI, 0.69-0.78). The deep learning model improved detection of congenital LQTS from resting ECGs and allowed for differentiation between the 2 most common genetic subtypes. Broader validation over an unselected general population may support application of this model to patients with suspected LQTS.

Mechanisms of torsades de pointes: an update.

Torsades de Pointes (TdP) refers to a polymorphic ventricular tachycardia (VT) with undulating QRS axis that occurs in long QT syndrome (LQTS), although the term has been used to describe polymorphic ventricular tachyarrhythmias in which QT intervals are not prolonged, such as short-coupled variant of TdP currently known as short-coupled ventricular fibrillation (VF) and Brugada syndrome. Extensive works on LQTS-related TdP over more than 50 years since it was first recognized by Dessertennes who coined the French term meaning "twisting of the points", have led to current understanding of the electrophysiological mechanism that TdP is initiated by triggered activity due to early afterdepolarization (EAD) and maintained by reentry within a substrate of inhomogeneous repolarization. While a recently emerging notion that steep voltage gradients rather than EADs are crucial to generate premature ventricular contractions provides additions to the initiation mode, the research to elucidate the maintenance mechanism hasn't made much progress. The reentrant activity that produces the specific form of VT is not well characterized. We have conducted optical mapping in a rabbit model of electrical storm by electrical remodeling (QT prolongation) due to chronic complete atrioventricular block and demonstrated that a tissue-island with prolonged refractoriness due to enhanced late Na+ current (INa-L) contributes to the generation of drifting rotors in a unique manner, which may explain the ECG characteristic of TdP. Moreover, we have proposed that the neural Na+ channel NaV1.8-mediated INa-L may be a new player to form the substrate for TdP. Here we discuss TdP mechanisms by comparing the findings in electrical storm rabbits with recently published studies by others in simulation models and human and animal models of LQTS.

Base genética de las arritmias primarias hereditarias más frecuentes: síndrome de QT largo, el síndrome de brugada y taquicardia ventricular polimórfica catecolaminérgica

Inherited primary arrhythmias correspond to a group of genetic disorders, including long QT syndrome (LQTS), Brugada syndrome (BrS), and catecholaminergic polymorphic ventricular tachycardia (CPVT), among others. They are usually caused by pathogenic variants in genes related to ion channels, predisposing to arrhythmias and cardiac events. Inherited primary arrhythmias affect approximately 1 in 3,000 people and are an important cause of sudden cardiac death, mainly in young adults. Diagnosis is based on clinical history, particular electrocardiographic patterns, and detection of mutations. Given that mutation carriers are usually diagnosed after presenting a cardiac event and that the consequences of not identifying or treating them promptly can be fatal, genetic studies are very relevant to guide management, define prognosis, and detect asymptomatic individuals in the family, after performing cascade genetic studies, which allows early intervention in this risk group. This article reviews the genetic causes of LQTS, BrS, and CPVT, highlighting the relevance of genetic studies in patients with these arrhythmias.

Concealed Long-QT Syndrome with Rare KCNQ1 Gene Mutation in an Elderly Female: A Case Report

Long QT syndrome (LQTS) is a hereditary disorder that can lead to recurrent syncope, convulsive episodes, and sudden death due to ventricular arrhythmia. In most instances, LQTS remains concealed and primarily presents as unexplained syncope despite have a normal electrocardiogram (ECG) during periods of rest. This characteristic can be highly deceptive and may result in severe and potentially fatal consequences if treated incorrectly. In this report, we present a case of concealed LQTS in an elderly female patient who experienced an initial episode of syncope at the age of 76. Upon admission, the surface ECG showed no abnormalities. However, during the bedside ECG examination, typical manifestations of LQTS were detected, indicating an early stage of the ictal process. Subsequent treatment with βblockers provided symptomatic relief. Genetic testing identified a rare mutation, p. Arg366Trp (with a c.1096C&gt;T variant), in the KCNQ1 gene, confirming the diagnosis of LQTS. Although congenital LQTS cases are more commonly found in young females, the potential for LQTS should not be overlooked in elderly patients who complain of unexplained syncope, even if their ECG normal. The use of an artificial intelligence (AI)-based diagnostic tool has the potential to offer a more precise means of identifying concealed LQTS in the future, but, until now, thorough examination and close observation during admission is necessary to avoid missed diagnoses of the concealed LQTS-syndrome.

Clinical and Genetic Characteristics of 18 Cases with Suspected Congenital Long QT Syndrome: A Retrospective Cross-Sectional Study

Background: Long QT syndrome (LQTS) is characterized by prolonged QT interval in electrocardiogram (ECG), which is highly associated with sudden cardiac death (malignant arrhythmia). The purpose of this study was to explore the clinical and genetic characteristics of LQTS in children. Materials and Methods: Whole-exome sequencing and Sanger sequencing were performed in 18 probands with prolonged QT interval on the surface ECG. The pathogenicity of the detected variants was evaluated. Results: 44.4% (8/18) of patients were diagnosed with LQTS in the QT prolongation cohort, among which five variants in KCNQ1 and three in SCN5A were detected. Syncope was the primary manifestation. The mean QTc for variant-positive patients was 522 ± 36 ms and that for patients with negative results was 481 ± 15 ms. High probability (7/11, 63.6%) of LQTS presented among the patients with high Schwartz score (Schwartz score ≥3.5). Partial variant carrier parents had no symptoms but prolonged QTc on ECG. Besides, a case masquerading as epilepsy was reported. Conclusions: For a rapid and accurate diagnosis of LQTS, genetic testing should be combined with assessment of clinical information and ECG. Moreover, routine ECG examination is proposed in seizure patients to avoid misdiagnosis. Two novel variants in SCN5A were detected and the variant spectrum of which was expanded. Besides, we discuss incomplete penetrance and phenotypic heterogeneity of LQTS and suggest focusing on the variant carriers with no obvious symptoms.

Clinical characterization of type 1 long QT syndrome caused by C-terminus Kv7.1 variants

BackgroundVariants in the KCNQ1 gene, encoding the α-subunit of the slow component of delayed rectifier K+ channel Kv7.1, cause long QT syndrome (LQTS) type 1. The location of variants may be one of the factors in determining prognosis. However, detailed genotype-phenotype relationships associated with C-terminus variants remain unelucidated. ObjectiveWe investigated the clinical characteristics and variant-specific arrhythmic risks in patients with LQTS carrying Kv7.1 C-terminus variants. MethodsThe study comprises 202 consecutive patients with LQTS (98 probands and 104 family members) who carry a rare heterozygous variant in the Kv7.1 C-terminus. Their clinical characteristics and arrhythmic events were investigated. ResultsWe identified 36 unique C-terminus variants (25 missense and 11 non-missense). The p.R366W variant was identified in 8 families, and p.T587M was identified in 21 families in large numbers from northwestern Japan. As for the location of the variant, we found that the variants in highly conserved regions and nonhelical domains were associated with longer QTc intervals compared with the variants in other regions. Both p.R366W and p.T587M variants are located in the highly conserved and functionally pivotal regions close to helices A and D, which are associated with calmodulin binding and channel assembly (tetramerization), respectively. The probands carrying p.T587M and p.R366W variants had worse arrhythmia outcomes compared with those with other C-terminus variants. The haplotype analysis of p.T587M families was suggestive of a founder effect. ConclusionThe arrhythmic risk of C-terminus variants in Kv7.1 in LQTS is not homogeneous, and locations of variants can be a determining factor for prognosis.