Effect of dual-chamber minimal ventricular pacing on paroxysmal atrial fibrillation incidence in myotonic dystrophy type 1 patients: A prospective, randomized, single-blind, crossover study

Comprehensive Cardiovascular Management of Myotonic Dystrophy Type 1 Patients: A Report from the Italian Neuro-Cardiology Network

Myotonic dystrophy is a hereditary disorder with systemic involvement. The Italian Neuro-Cardiology Network-"Rete delle Neurocardiologie" (INCN-RNC) is a unique collaborative experience involving neurology units combined with cardio-arrhythmology units. The INCN facilitates the creation of integrated neuro-cardiac teams in Neuromuscular Disease Centers for the management of cardiovascular involvement in the treatment of myotonic dystrophy type 1 (MD1).

Echocardiographic Features of Cardiac Involvement in Myotonic Dystrophy 1: Prevalence and Prognostic Value

Myotonic dystrophy type 1 (DM1) is the most common muscular dystrophy in adults. Cardiac involvement is reported in 80% of cases and includes conduction disturbances, arrhythmias, subclinical diastolic and systolic dysfunction in the early stage of the disease; in contrast, severe ventricular systolic dysfunction occurs in the late stage of the disease. Echocardiography is recommended at the time of diagnosis with periodic revaluation in DM1 patients, regardless of the presence or absence of symptoms. Data regarding the echocardiographic findings in DM1 patients are few and conflicting. This narrative review aimed to describe the echocardiographic features of DM1 patients and their prognostic role as predictors of cardiac arrhythmias and sudden death.

Prevalence of atrial fibrillation in myotonic dystrophy type 1: A systematic review

Cardiac involvement is recorded in about 80% of patients affected by myotonic dystrophy type 1 (DM1). The prevalence of cardiac conduction abnormalities is well described. Data regarding the prevalence of atrial fibrillation (AF) are still conflicting. The primary objective of this review was to assess the prevalence of AF in DM1. The secondary aim was to examine the association of clinical features with AF, to detect predisposing and/or influencing prognosis factors. A systematic search was developed in MEDLINE, EMBASE, Cochrane Register of Controlled Trials and Web of Science databases, to identify original reports between January 1, 2002 and January 30, 2020, assessing the prevalence of AF in DM1 population. Retrospective/prospective cohort studies and case series describing the prevalence of atrial fibrillation evaluated by periodic electrocardiogram (ECG) and/or ECG Holter 24 h, external loop recording (ELR) and implantable devices interrogation in DM1 patients were included. Case reports, simple reviews, commentaries and editorials were excluded. Thirteen reports fulfilled eligibility criteria and were included in our systematic review. According to the results from all the evaluated studies, the mean prevalence of AF in DM1 patients was 10.9% (n = 404) in 3677 DM1 patients. Male sex, conduction defects, echocardiographic findings of prolonged atrial electromechanical delay seem to be strongly associated with atrial fibrillation, representing factors favoring its onset. DM1 patients who develop AF seem to have a higher risk of cardiovascular and non-cardiovascular death. Further studies are needed to assess the prevalence of AF in DM1 patients and to investigate ECG abnormalities and other clinical features associated with this condition.

SERUM cardiac-specific biomarkers and atrial fibrillation in myotonic dystrophy type I

INTRODUCTION

The aim of the present study was to evaluate the role of high-sensitivity cardiac troponin I, N terminal pro-B-type natriuretic peptide (NT-proBNP), creatine kinase-MB mass concentration (CK-MB mass) and copeptin (CP) in predicting incident atrial fibrillation (AF) in myotonic dystrophy type 1 (DM1) patients.

MATERIALS AND METHODS

The study enrolled 60 consecutive DM1 patients (age 50.3 ± 7.3 years, 34 male) who underwent pacemaker (PM) implantation for cardiac rhythm abnormalities and 60 PM recipients whose age and sex matched served as control group. All DM1 patients underwent a 12-lead electrocardiogram, 2D color Doppler echocardiogram, biomarkers measurements and device interrogation at implantation, 1 month after and every 6 months thereafter for a minimum of 2-year follow-up.

RESULTS

The study population was divided into two groups according to the presence of AF (AF group vs non-AF group). The AF group was older (47.3 ± 8 vs 38.6 ± 7 years, P = .03) and showed higher serum levels of NT-proBNP (151 ± 38.4 vs 107.3 ± 24.2 pg/mL, P < .001) and CP (18.9 ± 4.5 vs 7 ± 2.3 P < .001) than non-AF Group. NT-proBNP (P < .001) and CP (P < .001) were found to be an independent predictor of AF. Based on the receiver-operating characteristics curve analysis, the cut-off value for NT-proBNP that best predicted AF event in DM1 patients was 123 pg/ml (sensitivity of 83.3% and specificity of 86.5%); the cut-off value for CP that best predicted AF event in DM1 patients was 9 pmol/L (sensitivity of 89% and specificity of 87%).

CONCLUSION

NT-proBNP and CP represent two independent predictors of AF onset in DM1 population with conduction disturbances underwent PM implantation.

Cardiovascular manifestations of myotonic dystrophy

Patients with myotonic dystrophy, the most common neuromuscular dystrophy in adults, have a high prevalence of arrhythmic complications with increased cardiovascular mortality and high risk for sudden death. Sudden death prevention is central and relies on annual follow-up and prophylactic permanent pacing in patients with conduction defects on electrocardiogram and/or infrahisian blocks on electrophysiological study. Implantable cardiac defibrillator therapy may be indicated in patients with ventricular tachyarrhythmia.

Evaluation of Atrial Electromechanical Delay to Predict Atrial Fibrillation in Hemodialysis Patients

Background and objective: Prevalence of atrial fibrillation is higher in hemodialysis patients as compared to the general population. Atrial electromechanical delay is known as a significant predictor of atrial fibrillation. In this study, we aimed to reveal the relationship between atrial electromechanical delay and attacks of atrial fibrillation. Materials and methods: The study included 77 hemodialysis patients over 18 years of age giving written consent to participate in the study. The patients were divided into two groups based on the results of 24-h Holter Electrocardiogram (Holter ECG) as the ones having attacks of atrial fibrillation and the others without any attack of atrial fibrillation. Standard echocardiographic measurements were taken from all patients. Additionally, atrial conduction times were measured by tissue Doppler technique and atrial electromechanical delays were calculated. Results: Intra- and interatrial electromechanical delay were found as significantly lengthened in the group of patients with attacks of atrial fibrillation (p = 0.03 and p < 0.001 respectively). The optimal cut-off time for interatrial electromechanical delay to predict atrial fibrillation was >21 ms with a specificity of 79.3% and a sensitivity of 73.7% (area under the curve 0.820; 95% confidence interval (CI), 0.716⁻0.898). In the multivariate logistic regression model, interatrial electromechanical delay (odds ratio = 1.230; 95% CI, 1.104⁻1.370; p < 0.001) and hypertension (odds ratio = 4.525; 95% CI, 1.042⁻19.651; p = 0.044) were also associated with atrial fibrillation after adjustment for variables found to be statistically significant in univariate analysis and correlated with interatrial electromechanical delay. Conclusions: Interatrial electromechanical delay is independently related with the attacks of atrial fibrillation detected on Holter ECG records in hemodialysis patients.