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International Journal of Cardiology.... Aug 2024A deep Y descent in the jugular venous pulse (JVP) is associated with diseases such as a decrease in right ventricular (RV) preload reserve. The present study...
BACKGROUND
A deep Y descent in the jugular venous pulse (JVP) is associated with diseases such as a decrease in right ventricular (RV) preload reserve. The present study investigated the relationship between RV-pulmonary arterial (PA) coupling and a deep Y descent, examined risk factors for a deep Y descent and clarified whether a deep Y descent was an independent risk factor for cardiac events irrespective of RV-PA coupling in patients with heart failure (HF).
METHODS
We enrolled 350 patients with HF who underwent echocardiography and JVP examination. A deep Y descent was identified by a deeper 'Y' descent than 'X' descent in the JVP waveform. We defined cardiac events of HF as follows: sudden death, death from HF, the emergent infusion of loop diuretics, or hospitalization for decompensated HF.
RESULTS AND CONCLUSIONS
A deep Y descent and cardiac events were observed in 129 and 83 patients, respectively. The prevalence of a deep Y descent increased with decreases in the tricuspid annular plane systolic excursion (TAPSE)/systolic pulmonary arterial pressure (SPAP) ratio. Not only the TAPSE/SPAP ratio (odds ratio,0.756 per0.1 mm/mmHg, 95 %confidence interval [CI], 0.660-0.866, p < 0.001), but also age, atrial fibrillation, and the use of beta-blockers were independent factors for a deep Y descent in multivariate logistic model. Multivariate Cox hazard model demonstrated that a deep Y descent was for cardiac events in patients with HF (Hazard ratio,2.682, 95 %CI, 1.599-4.497, p < 0.001) irrespective of the TAPSE/SPAP ratio. The development of therapeutic strategies based on central venous waveform may be needed for patients with HF.
PubMed: 38939016
DOI: 10.1016/j.ijcha.2024.101439 -
JACC. Advances Jul 2023
PubMed: 38939013
DOI: 10.1016/j.jacadv.2023.100434 -
JACC. Advances Jul 2023Obesity cardiomyopathy (OCM) can be associated with sudden cardiac death (SCD) but its pathologic features are not well described.
BACKGROUND
Obesity cardiomyopathy (OCM) can be associated with sudden cardiac death (SCD) but its pathologic features are not well described.
OBJECTIVES
The objective of this study was to characterize the clinical and pathological features of OCM associated with SCD.
METHODS
This was a retrospective case control autopsy study. OCM was identified by an increased heart weight (>550 g in males; >450 g in females) in individuals with obesity (body mass index [BMI] ≥30 kg/m) in the absence of other causes. Cases of OCM with SCD were compared to sex and age matched SCD controls with obesity or with normal weight (BMI 18.5-24.9 kg/m) and morphologically normal hearts. Autopsy measures included: heart weight, atrial dimensions, ventricular wall thickness, and epicardial adipose tissue. Fibrosis was assessed microscopically.
RESULTS
Of 6,457 SCD cases, 53 cases of OCM were identified and matched to 106 controls with obesity and 106 normal weight controls. The OCM mean age at death of individuals with OCM was 42 ± 12 with a male predominance (n = 34, 64%). Males died younger than females (40 ± 13 vs 45 ± 10, = 0.036). BMI was increased in OCM cases compared to controls with obesity (42 ± 8 vs 35 ± 5). The average heart weight was 598 ± 93 g in OCM. There were increases in right and left ventricular wall thickness (all < 0.05) in OCM cases compared to controls. Right ventricular epicardial fat was increased in OCM compared to normal weight controls only. Left ventricular fibrosis was identified in 7 (13%) cases.
CONCLUSIONS
OCM may be a specific pathological entity associated with SCD. It is most commonly seen in young males with increased BMI.
PubMed: 38938994
DOI: 10.1016/j.jacadv.2023.100414 -
JACC. Advances Jun 2024
PubMed: 38938857
DOI: 10.1016/j.jacadv.2024.100985 -
JACC. Advances Mar 2024
PubMed: 38938830
DOI: 10.1016/j.jacadv.2024.100833 -
JACC. Advances Mar 2024Patients with likely pathogenic/pathogenic desmoplakin () variants are poorly characterized. Some of them meet diagnostic criteria for arrhythmogenic right ventricular...
BACKGROUND
Patients with likely pathogenic/pathogenic desmoplakin () variants are poorly characterized. Some of them meet diagnostic criteria for arrhythmogenic right ventricular cardiomyopathy (ARVC), but it is unclear how risk stratification strategies for ARVC perform in this setting.
OBJECTIVES
The purpose of this study was to characterize arrhythmic outcomes and to test the performance of the recently validated ARVC risk calculator in patients with likely pathogenic/pathogenic variants fulfilling definite 2010 ARVC Task Force Criteria (-TFC+).
METHODS
-TFC+ patients were enrolled from 20 institutions across 3 continents. Ventricular arrhythmias (VA), defined as a composite of sustained ventricular tachycardia (VT), appropriate implantable cardioverter defibrillator therapies, and ventricular fibrillation/sudden cardiac death events in follow-up, were reported as the primary outcome. We tested the performance of the ARVC risk calculator for VA prediction, reporting c-statistics.
RESULTS
Among 252 -TFC+ patients (age 39.6 ± 16.9 years, 35.3% male), 94 (37.3%) experienced VA over 44.5 [IQR: 19.6-78.3] months. Patients with left ventricle involvement (n = 194) were at higher VA risk (log-rank = 0.0239). History of nonsustained VT (aHR 2.097; = 0.004) showed the strongest association with VA occurrence during the first 5-year follow-up. Neither age ( = 0.723) nor male sex ( = 0.200) was associated with VAs at follow-up. In 204 patients without VA at diagnosis, incident VA rate was high (32.8%; 7.37%/y). The ARVC risk calculator performed poorly overall (c-statistic 0.604 [0.594-0.614]) and very poorly in patients with left ventricular disease (c-statistic 0.558 [0.556-0.560]).
CONCLUSIONS
-TFC+ patients are at substantial risk for VAs. The ARVC risk calculator performs poorly in -TFC+ patients suggesting need for a gene-specific risk algorithm. Meanwhile, -TFC+ patients with nonsustained VT should be considered as high-risk.
PubMed: 38938828
DOI: 10.1016/j.jacadv.2024.100832 -
Getting to the cART of the Matter: Risk Stratification for Cardiovascular Events With HIV Infection.JACC. Advances Dec 2023
PubMed: 38938479
DOI: 10.1016/j.jacadv.2023.100724 -
JACC. Advances Jun 2023
PubMed: 38938242
DOI: 10.1016/j.jacadv.2023.100401 -
ESC Heart Failure Jun 2024Acute myocarditis, although a rare disease, can be associated with sudden cardiac death or the need for transplantation in both children and young adults. To date, there...
AIMS
Acute myocarditis, although a rare disease, can be associated with sudden cardiac death or the need for transplantation in both children and young adults. To date, there is no definitive evidence to support the routine use of immunosuppressive therapy or treatment targeting inflammation in patients with myocarditis. Animal models of cardiovascular (CV), as well as neurological diseases, have demonstrated that cannabidiol has significant anti-inflammatory properties and may represent a promising therapy in acute myocarditis. This efficacy has been shown in a murine model of autoimmune myocarditis as well as in in vitro and in vivo models of heart failure (HF).
METHODS AND RESULTS
We present the rationale and design of the ARCHER Trial, an international multicentre, double-blind, randomized, placebo-controlled, phase II study examining the safety and efficacy of a pharmaceutically produced cannabidiol formulation, in patients with mild to moderate acute myocarditis. Eligible patients are those with acute myocarditis, randomized within 10 days of the diagnostic cardiac MRI (CMR), which has met defined diagnostic criteria for myocarditis. Oral treatment (cannabidiol or placebo) is titrated from 2.5 mg/kg of body weight up to 10 mg/kg of body weight b.i.d. (or highest tolerated dose) and taken for 12 weeks in addition to standard of care therapy for HF. The primary endpoints are defined as changes in global longitudinal strain (GLS) and extra cellular volume (ECV), measured by CMR at 12 weeks. Assuming 80% power, a 5% alpha risk and 25% missing CMR follow-up data at Week 12, 100 patients are required to demonstrate the desired treatment effect of 18%. The change in left ventricular ejection fraction (LVEF) from baseline to Week 12 was selected as the secondary endpoint. Additional exploratory endpoints include changes in hs-troponin, NT-proBNP, markers of inflammation and endothelial function during the 12-week treatment period. The trial is ongoing but is now more than 50% recruited. As enrolment in the trial continues, no interim data are available for inclusion in this Design paper.
CONCLUSIONS
The ongoing ARCHER Trial is an international, multicentre, double-blind, randomized, placebo-controlled phase II study, designed to determine the effect of a pharmaceutically produced cannabidiol formulation on CMR parameters in patients presenting with acute myocarditis. Enrolment of 100 patients is expected to conclude in Q3 2024. Study results will be available in early 2025.
PubMed: 38937900
DOI: 10.1002/ehf2.14889 -
Scientific Reports Jun 2024The efficacy of an implantable cardioverter-defibrillator (ICD) in patients with a non-ischaemic cardiomyopathy for primary prevention of sudden cardiac death is...
The efficacy of an implantable cardioverter-defibrillator (ICD) in patients with a non-ischaemic cardiomyopathy for primary prevention of sudden cardiac death is increasingly debated. We developed a multimodal deep learning model for arrhythmic risk prediction that integrated late gadolinium enhanced (LGE) cardiac magnetic resonance imaging (MRI), electrocardiography (ECG) and clinical data. Short-axis LGE-MRI scans and 12-lead ECGs were retrospectively collected from a cohort of 289 patients prior to ICD implantation, across two tertiary hospitals. A residual variational autoencoder was developed to extract physiological features from LGE-MRI and ECG, and used as inputs for a machine learning model (DEEP RISK) to predict malignant ventricular arrhythmia onset. In the validation cohort, the multimodal DEEP RISK model predicted malignant ventricular arrhythmias with an area under the receiver operating characteristic curve (AUROC) of 0.84 (95% confidence interval (CI) 0.71-0.96), a sensitivity of 0.98 (95% CI 0.75-1.00) and a specificity of 0.73 (95% CI 0.58-0.97). The models trained on individual modalities exhibited lower AUROC values compared to DEEP RISK [MRI branch: 0.80 (95% CI 0.65-0.94), ECG branch: 0.54 (95% CI 0.26-0.82), Clinical branch: 0.64 (95% CI 0.39-0.87)]. These results suggest that a multimodal model achieves high prognostic accuracy in predicting ventricular arrhythmias in a cohort of patients with non-ischaemic systolic heart failure, using data collected prior to ICD implantation.
Topics: Humans; Female; Male; Middle Aged; Cardiomyopathies; Electrocardiography; Magnetic Resonance Imaging; Retrospective Studies; Arrhythmias, Cardiac; Defibrillators, Implantable; Aged; Artificial Intelligence; Deep Learning; Death, Sudden, Cardiac; Risk Assessment; Risk Factors; ROC Curve
PubMed: 38937555
DOI: 10.1038/s41598-024-65357-x