Heterogeneity of aortic disease severity in patients with Loeys-Dietz syndrome

This study aimed to determine aortic disease severity in patients with Loeys-Dietz syndrome (LDS). Thirty-three patients with LDS diagnosed and followed up at our unit were included. After reviewing all family trees, 25 deceased family members with clear clinical suspicion of having had LDS were also included. Clinical presentation, aortic dilation rate by echocardiography and age at aortic surgery, dissection or death were determined. Median aortic diameter at diagnosis was 36 mm, 43% of the patients aged >40 years had a z-score <2. Median aortic root dilation rate was 0.67 mm/year (maximum 2.0 mm/year) over a median follow-up of 2 years (IQR 1.0-4.0). In the global cohort, 31/58 patients reached a clinical endpoint; 19% death, median age: 52 years; 14% dissection, median age: 36 years; 21% aortic surgery, median age: 53 years. As expected, probands had a higher z-score (2.9 vs 1.5, p=0.019) and more often required aortic surgery (33.4% vs 18.2%, p=0.035) compared with family members. TGFBR2 carriers had a higher z-score compared with TGFBR1 carriers (3.2 vs 1.5, p=0.034) and younger age at aortic surgery (HR 4.9, 95% CI 1.5 to 123, p=0.026). Craniofacial severity index was inversely correlated with age at first event (r=-0.765, p=0.045). Although paediatric patients were not properly represented in our cohort, our patients with LDS presented a significant heterogeneity in the severity of aortic disease with large intrafamilial and interfamilial variability, aortic root aneurysm were less frequent and aortic complications less premature than previously depicted. Furthermore, aortic dilation rate was similar to that reported in Marfan syndrome and aortic root diameters appear to be larger in TGFBR2 carrier

Role of copy number variants in sudden cardiac death and related diseases: genetic analysis and translation into clinical practice.

Several studies have identified copy number variants (CNVs) as responsible for cardiac diseases associated with sudden cardiac death (SCD), but very few exhaustive analyses in large cohorts of patients have been performed, and they have been generally focused on a specific SCD-related disease. The aim of the present study was to screen for CNVs the most prevalent genes associated with SCD in a large cohort of patients who suffered sudden unexplained death or had an inherited cardiac disease (cardiomyopathy or channelopathy). A total of 1765 European patients were analyzed with a homemade algorithm for the assessment of CNVs using high-throughput sequencing data. Thirty-six CNVs were identified (2%), and most of them appeared to have a pathogenic role. The frequency of CNVs among cases of sudden unexplained death, patients with a cardiomyopathy or a channelopathy was 1.4% (8/587), 2.3% (20/874), and 2.6% (8/304), respectively. Detection rates were particularly high for arrhythmogenic cardiomyopathy (5.1%), long QT syndrome (4.7%), and dilated cardiomyopathy (4.4%). As such large genomic rearrangements underlie a non-neglectable portion of cases, we consider that their analysis should be performed as part of the routine genetic testing of sudden unexpected death cases and patients with SCD-related diseases

Clinical Risk Prediction in Patients With Left Ventricular Myocardial Noncompaction

Left ventricular noncompaction (LVNC) is a heterogeneous entity with uncertain prognosis. This study sought to develop and validate a prediction model of major adverse cardiovascular events (MACE) and to identify LVNC cases without events during long-term follow-up. This is a retrospective longitudinal multicenter cohort study of consecutive patients fulfilling LVNC criteria by echocardiography or cardiovascular magnetic resonance. MACE were defined as heart failure (HF), ventricular arrhythmias (VAs), systemic embolisms, or all-cause mortality. A total of 585 patients were included (45 ± 20 years of age, 57% male). LV ejection fraction (LVEF) was 48% ± 17%, and 18% presented late gadolinium enhancement (LGE). After a median follow-up of 5.1 years, MACE occurred in 223 (38%) patients: HF in 110 (19%), VAs in 87 (15%), systemic embolisms in 18 (3%), and 34 (6%) died. LVEF was the main variable independently associated with MACE (P 35% (P < 0.05). A prediction model of MACE was developed using Cox regression, composed by age, sex, electrocardiography, cardiovascular risk factors, LVEF, and family aggregation. C-index was 0.72 (95% confidence interval: 0.67-0.75) in the derivation cohort and 0.72 (95% confidence interval: 0.71-0.73) in an external validation cohort. Patients with no electrocardiogram abnormalities, LVEF ≥50%, no LGE, and negative family screening presented no MACE at follow-up. LVNC is associated with an increased risk of heart failure and ventricular arrhythmias. LVEF is the variable most strongly associated with MACE; however, LGE confers additional risk in patients without severe systolic dysfunction. A risk prediction model is developed and validated to guide management.The project was partially funded by a grant from the Catalan Society of Cardiology (Barcelona, Spain). Hospital Universitario Virgen de la Arrixaca (Murcia, Spain) was supported by a grant from the Foundation Marató TV3 (218/C/2015) (Barcelona, Spain). Hospital Universitario y Politécnico La Fe (Valencia, Spain) was partially supported by Fondo Europeo de Desarrollo Regional (“Unión Europea, Una forma de hacer Europa”) (Madrid, Spain) and the Instituto de Salud Carlos III (La Fe Biobank PT17/0015/ 0043) (Madrid, Spain). Dr Guala was supported by funding from the Spanish Ministry of Science, Innovation and Universities (IJC2018-037349-I) (Madrid, Spain). Dr La Mura was supported by a research grant from the Cardiopath PhD program (Naples, Italy). Prof de la Pompa was supported by grants PID2019-104776RB-I00 and CB16/11/00399 (CIBER CV) from the Spanish Ministry of Science, Innovation and Universities. Dr Bayes-Genis was supported by grants from CIBER Cardiovascular (CB16/11/00403 and 16/11/00420) (Madrid, Spain) and AdvanceCat 2014-2020 (Barcelona, Spain); and has received advisory board and lecture fees from Novartis, Boehringer Ingelheim, Vifor, Roche Diagnostics, and Critical Diagnostics. Dr Pontone has received speaker honorarium and/or institutional research grants from GE Healthcare, Bracco, Boehringer Ingelheim, and HeartFlow. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.S