Atrial fibrillation and the risk of sudden cardiac arrest in patients with hypertrophic cardiomyopathy - A nationwide cohort study

Impact of rs1805127 and rs55742440 Variants on Atrial Remodeling in Hypertrophic Cardiomyopathy Patients with Atrial Fibrillation: A Romanian Cohort Study

Atrial fibrillation (AFib) is characterized by a complex genetic component. We aimed to investigate the association between variations in genes related to cardiac ion handling and AFib in a cohort of Romanian patients with hypertrophic cardiomyopathy (HCM). Forty-five unrelated probands with HCM were genotyped by targeted next-generation sequencing (NGS) for 24 genes associated with cardiac ion homeostasis. Subsequently, the study cohort was divided into two groups based on the presence (AFib+) or absence (AFiB-) of AFib detected during ECG monitoring. We identified two polymorphisms (rs1805127 located in KCNE1 and rs55742440 located in SCN1B) linked to AFib susceptibility. In AFib+, rs1805127 was associated with increased indexed left atrial (LA) maximal volume (LAVmax) (58.42 ± 21 mL/m2 vs. 32.54 ± 6.47 mL/m2, p < 0.001) and impaired LA strain reservoir (LASr) (13.3 ± 7.5% vs. 24.4 ± 6.8%, p < 0.05) compared to those without respective variants. The rs55742440 allele was less frequent in patients with AFib+ (12 out of 25, 48%) compared to those without arrhythmia (15 out of 20, 75%, p = 0.05). Also, AFib+ rs55742440 carriers had significantly lower LAVmax compared to those who were genotype negative. Among patients with HCM and AFib+, the rs1805127 variant was accompanied by pronounced LA remodeling, whereas rs55742440's presence was related to a milder LA enlargement.

Predicting Risk of Cardiac Arrest in Young Asian Americans: Insights from an Artificial Neural Network Analysis of the Nationwide Cohort

We used the Artificial Neural Network (ANN) model to identify predictors of Sudden Cardiac Arrest (SCA) in a national cohort of young Asian patients in the United States. The National Inpatient Sample (2019) was used to identify young Asians (18-44-year-old) who were hospitalized with SCA. The neural network's predicted criteria for SCA were selected. After eliminating missing data, young Asians (n = 65,413) were randomly divided into training (n = 45,094) and testing (n = 19347) groups. Training data (70%) was used to calibrate ANN while testing data (30%) was utilized to assess the algorithm's accuracy. To determine ANN's performance in predicting SCA, we compared the frequency of incorrect prediction between training and testing data and measured the area under the Receiver Operating Curve (AUC). The 2019 young Asian cohort had 327,065 admissions (median age 32 years; 84.2% female), with SCA accounting for 0.21%. The exact rate of error in predictions vs. tests was shown by training data (0.2% vs 0.2%). In descending order, the normalized importance of predictors to accurately predict SCA in young adults included prior history of cardiac arrest, sex, age, diabetes, anxiety disorders, prior coronary artery bypass grafting, hypertension, congenital heart disease, income, peripheral vascular disease, and cancer. The AUC was 0.821, indicating an excellent ANN model for SCA prediction. Our ANN models performed excellently in revealing the order of important predictors of SCA in young Asian American patients. These findings could have a considerable impact on clinical practice to develop risk prediction models to improve the survival outcome in high-risk patients.

Prognostic effect of atrial fibrillation on survival in patients with hypertrophic cardiomyopathy: a meta-analysis

OBJECTIVE

To systematically evaluate the prognostic impact of atrial fibrillation (AF) in patients with hypertrophic cardiomyopathy (HCM).

METHODS

The Chinese and English databases (PubMed, EMBASE, Cochrane Library, Chinese National Knowledge Infrastructure, and Wanfang database were systematically searched to include observational studies on the prognosis of AF in cardiovascular events or death in patients with HCM; these were evaluated using Revman 5.3.

RESULTS

After systematic search and screening, a total of 11 studies with a high study quality were included in this study. Meta-analysis showed that patients with HCM accompanied by AF had a higher risk of all-cause death (odds ratio [OR] = 2.75; 95% confidence interval [CI]: 2.18-3.47; P < 0.001), heart-related death (OR = 2.62; 95%CI: 2.02-3.40; P < 0.001), sudden cardiac death (OR = 7.09; 95%CI: 5.77-8.70; P < 0.001), heart-failure-related death (OR = 2.04; 95%CI: 1.24-3.36; P = 0.005), and stroke death (OR = 17.05; 95%CI: 6.99-41.58; P < 0.001) compared with patients with HCM without AF.

CONCLUSION

Atrial fibrillation is a risk factor for adverse survival outcomes in patients with HCM, and aggressive interventions are needed in this population to avoid the occurrence of adverse outcomes.

Updated risk assessments for sudden cardiac death in hypertrophic cardiomyopathy patients with implantable cardioverter-defibrillator

Hypertrophic cardiomyopathy (HCM) is a genetic disease associated with a risk of malignant ventricular tachyarrhythmias and sudden cardiac death (SCD). Assessment of the SCD risk is crucial for its clinical management, and there has been considerable interest in developing risk stratification strategies. An implantable cardioverter-defibrillator (ICD) is a life-saving treatment for patients with HCM who are at a high-risk of ventricular tachyarrhythmias and SCD. However, a substantial number of ICD recipients experience adverse effects arising from inappropriate device therapy and implant-related complications. This has led to numerous investigations of the risk of SCD and the indications for ICD implantation. American guidelines were recently updated to include new risk markers, including left ventricular systolic dysfunction, apical aneurysm, and extensive late gadolinium enhancement, while European guidelines recommend individualized estimated 5-year SCD risk assessment models. Studies evaluating other risk factors for SCD in patients with HCM have also been published. Drawing on recent guidelines and publications on clinical risk factors, we focus this review on updated risk assessments for SCD with ICD therapy in patients with HCM.

Associations of New-Onset Atrial Fibrillation With Risks of Cardiovascular Disease, Chronic Kidney Disease, and Mortality Among Patients With Type 2 Diabetes

OBJECTIVE

Atrial fibrillation (AF) frequently occurs in patients with type 2 diabetes (T2D); however, the longitudinal associations of new-onset AF with risks of adverse health outcomes in patients with T2D remain unclear. In this study, we aimed to determine the associations of new-onset AF with subsequent risks of atherosclerotic cardiovascular disease (ASCVD), heart failure, chronic kidney disease (CKD), and mortality among patients with T2D.

RESEARCH DESIGN AND METHODS

We included 16,551 adults with T2D, who were free of cardiovascular disease (CVD) and CKD at recruitment from the UK Biobank study. Time-varying Cox regression models were used to assess the associations of incident AF with subsequent risks of incident ASCVD, heart failure, CKD, and mortality.

RESULTS

Among the patients with T2D, 1,394 developed AF and 15,157 remained free of AF during the follow-up. Over median follow-up of 10.7-11.0 years, we documented 2,872 cases of ASCVD, 852 heart failure, and 1,548 CKD and 1,776 total death (409 CVD deaths). Among patients with T2D, those with incident AF had higher risk of ASCVD (hazard ratio [HR] 1.85; 95% CI 1.59-2.16), heart failure (HR 4.40; 95% CI 3.67-5.28), CKD (HR 1.68; 95% CI 1.41-2.01), all-cause mortality (HR 2.91; 95% CI 2.53-3.34), and CVD mortality (HR 3.75; 95% CI 2.93-4.80) compared with those without incident AF.

CONCLUSIONS

Patients with T2D who developed AF had significantly increased risks of developing subsequent adverse cardiovascular events, CKD, and mortality. Our data underscore the importance of strategies of AF prevention to reduce macro- and microvascular complications in patients with T2D.