Michelena, Héctor I.

Abstract Mitral valve prolapse (MVP) is the most frequent valve condition but remains a conundrum in many aspects, particularly in regard to the existence and frequency of an arrhythmic form (AMVP) and its link to sudden cardiac death. Furthermore, the presence, frequency, and significance of the anatomic functional feature called mitral annular disjunction (MAD) have remained widely disputed. Recent case series and cohorts have shattered the concept that MVP is most generally benign and have emphasized the various phenotypes associated with clinically significant ventricular arrhythmias, including AMVP. The definition, evaluation, follow-up, and management of AMVP represent the focus of the present review, strengthened by recent coherent studies defining an arrhythmic MVP phenotypic that would affect a small subset of patients with MVP at concentrated high risk. The role of MAD in this context is of particular importance, and this review highlights the characteristics of AMVP phenotypes and MAD, their clinical, multimodality imaging, and rhythmic evaluation. These seminal facts lead to proposing a risk stratification clinical pathway with consideration of medical, rhythmologic, and surgical management and have been objects of recent expert consensus statements and of proposals for new research directions.

Abstract Background and Aims Bicuspid aortic valve (BAV) is the most common congenital heart anomaly. Lifetime morbidity and whether long-term survival varies according to BAV patient-sub-groups are unknown. This study aimed to assess lifetime morbidity and long-term survival in BAV patients in the community. Methods The authors retrospectively identified all Olmsted County (Minnesota) residents with an echocardiographic diagnosis of BAV from 1 January 1980 to 31 December 2009, including patients with typical valvulo-aortopathy (BAV without accelerated valvulo-aortopathy or associated disorders), and those with complex valvulo-aortopathy (BAV with accelerated valvulo-aortopathy or associated disorders). Results 652 consecutive diagnosed BAV patients [median (IQR) age 37 (22–53) years; 525 (81%) adult and 127 (19%) paediatric] were followed for a median (IQR) of 19.1 (12.9–25.8) years. The total cumulative lifetime morbidity burden (from birth to age 90) was 86% (95% CI 82.5–89.7); cumulative lifetime progression to ≥ moderate aortic stenosis or regurgitation, aortic valve surgery, aortic aneurysm ≥45 mm or z-score ≥3, aorta surgery, infective endocarditis and aortic dissection was 80.3%, 68.5%, 75.4%, 27%, 6% and 1.6%, respectively. Survival of patients with typical valvulo-aortopathy [562 (86%), age 40 (28–55) years, 86% adults] was similar to age-sex-matched Minnesota population (P = .12). Conversely, survival of patients with complex valvulo-aortopathy [90 (14%), age 14 (3–26) years, 57% paediatric] was lower than expected, with a relative excess mortality risk of 2.25 (95% CI 1.21–4.19) (P = .01). Conclusion The BAV condition exhibits a high lifetime morbidity burden where valvulo-aortopathy is close to unavoidable by age 90. The lifetime incidence of infective endocarditis is higher than that of aortic dissection. The most common BAV clinical presentation is the typical valvulo-aortopathy with preserved expected long-term survival, while the complex valvulo-aortopathy presentation incurs higher mortality.

Abstract Funding Acknowledgements Type of funding sources: None. Background Severe aortic-stenosis (AS) is the guideline-based indication for aortic-valve-replacement (AVR) performance, which has markedly increased with transcatheter approaches, suggesting possible increasing AS incidence. However, reported secular trends of AS incidence remain contradictory, uncertain and lacking quantitative Doppler-Echocardiographic ascertainment. Thus, population-based trends in presentation, treatment and outcome are unknown. Methods All adults residents our County (MN,USA) diagnosed with incident (first-diagnosis) severe AS based on quantitative Doppler-Echocardiography (aortic-valve-area≤1cm2, aortic-valve-area-index≤0.6cm2/m2, mean-gradient≥40mmHg, peak-velocity≥4m/s, Doppler-velocity-index≤0.25) between 1997–2016, were accounted for and trends for incidence, presentation, treatment and outcome analysed. Results Incident severe-AS was diagnosed in 1069 community-residents over 20-years. Incidence-rate was 52.5[49.4–55.8] per 100.000 patient/year, slightly higher in male vs. female and was almost unchanged after age and sex adjustment for the US population 53.8[50.6–57.0] per-100000 residents/year. Over 20-years severe AS-incidence remained stable (p = 0.20) but absolute-burden of incident-cases markedly increased (p = 0.0004) due to population growth. Incidence-trend differed by sex, stable in men (incidence-rate-ratio 0.99, p = 0.72) but declining in women: (incidence-rate-ratio 0.93, p = 0.024). AS clinical-presentation, age, symptoms, comorbidity, ventricular size/function, valve-area-index, low-flow or low-ejection-fraction AS, remained stable. Over the study 20 years, AVR performance grew (1997–2001 to 2012–2016, at 3-month:14% to 21%, p = 0.02; at 1-year 19% to 33%,p<0.0001), and was more prompt (from 1.3[0.11–3.3]years in 1997–2001 to 0.48[0.15–2.11]years in 2013–2016, p = 0.001) but severe AS undertreatment remained prominent (>40%). Early-AVR (within 3-months) was associated with survival benefit (adjusted-hazard-ratio 0.55[0.42–0.71], p<0.0001) stable throughout the 20-years. Despite these improvements, overall mortality, 8.3% within 3-months, 17.8% within 1-year, 36% within 3-years, was swift, considerable and unabated (all p≥0.44) throughout the 20-year study. Conclusion Over 20 years, the population incidence of severe-AS remained stable with increased absolute case-burden purely related to population growth. Despite stable severe-AS presentation, AVR performance grew notably, but while declining, undertreatment remained substantial and disease-lethality did not decline. These findings have important population-health management implications.

Background: The bicuspid aortic valve (BAV) exhibits abnormal geometry and transvalvular flow and is susceptible to calcification with subsequent cardioembolic stroke from calcific embolic material. However, the description of embolic ischemic strokes in patients with BAV is limited to case reports. Methods: Consecutive patients from 1975-2015 with BAV (n=5401) at our institution were retrospectively identified. Patients with ischemic stroke before aortic valve replacement (AVR) were analyzed, and the stroke was characterized. Patients were grouped according to stroke etiology: calcific embolism from a BAV (BAV stroke); large artery atherosclerotic or lacunar stroke (LA stroke); and non-BAV, non-large artery embolic stroke (nLA stroke). Results: There were 83/5401 (1.5%) patients with ischemic stroke. Mean age was 54 ± 12 years and 28% were female. Stroke etiology was BAV stroke in 26/83 (31%), LA stroke in 23/83 (28%), nLA stroke in 30/83 (36%), and other in 4/83 (5%). Stroke was embolic in 72/83 (87%), as shown in Figure 1. CHA 2 DS 2 -VASc score was not different in patients with BAV stroke (1.4 ± 1.2) versus nLA stroke (1.8 ± 1.2, p=0.188) but was higher in LA stroke (2.3 ± 1.2, p=0.005 vs. BAV stroke). Recurrent stroke occurred in 41% overall (50% BAV stroke vs. 30% LA stroke vs. 47% nLA stroke, both p=NS vs. BAV stroke). BAV stroke was more commonly located in the retinal circulation (39% BAV stroke vs. 13% LA stroke [p=0.044] vs. 0% nLA stroke [p=0.002]). Patients with BAV and LA stroke were more likely to have moderate-to-severe aortic stenosis and undergo AVR sooner after stroke compared to patients with nLA stroke. Conclusions: Stroke is an important complication in patients with BAV. The most common type of stroke in BAV is embolic. Greater than one-third of embolic stroke resulted from embolism from a calcific aortic valve. Patients with BAV stroke commonly have a history of recurrent cerebral ischemic events, severe valvular disease, and proceed to AVR soon after stroke.

Introduction: Bicuspid Aortic Valve (BAV), the most common adult congenital heart defect, is a major cause of aortic insufficiency or stenosis requiring valve replacement and thoracic aortic aneurysms predisposing to acute aortic dissections. The spectrum of BAV ranges from early onset valve and aortic complications to sporadic late onset disease. We determined the frequency and gene content of rare genomic copy number variants (CNVs) in isolated BAV cases. Methods: We performed genome-wide SNP microarray analysis of familial BAV cases with early onset complications in the UTHealth BAV Research Registry (EBAV, n=394) and elderly probands from the International BAV Consortium (BAVCON, n=4216). CNVs were detected in Illumina genotypes using the PennCNV, QuantiSNP and cnvPartition algorithms. BAV cases were compared to 16,576 controls without known cardiovascular disease from the Database of Genotypes and Phenotypes. Only CNV calls with >6 consecutive variants, >20 kb in length, identified by at least two algorithms and intersected with known genes were included. For comparison, we assessed a cohort with left ventricular outflow tract obstructive lesions including BAV (LVOTO, n=1561) using identical methods. CNV burden and associations were tested using PLINK. Results: We identified 84 large recurrent CNVs in BAV cases that are absent or rare (<0.1%) in controls. 34 rare CNVs overlap between BAV and LVOTO cases and involve candidate genes that interact with each other during heart development. The largest and most prevalent of the recurrent CNVs are 8p23 duplications involving GATA4 (OR 340, CI: 42-2700). CNVs of genes that cause BAV when mutated were significantly enriched in cases (n=135, P =1x10 -27 ). The overall burden of rare genic CNVs, specifically large deletions, was also increased in BAV cases (empiric P < 1x10 -5 ) and was higher in younger EBAV cases than in older BAVCON cases. Conclusion: We identified likely pathogenic CNVs in more than 10% of BAV cases, implicating alterations of candidate genes at these loci in the pathogenesis of BAV.

Introduction: Aortic valve calcification (AVC) is the key pathophysiology underlying aortic stenosis (AS). We aimed to assess computed tomography AVC in AS by valve morphology (bicuspid [BAV] vs. tricuspid aortic valve[TAV]) and sex. Methods: Retrospective study of patients with echocardiographic AS severity and AVC assessments within six months. Patients with > moderate aortic regurgitation, prosthetic aortic valve, or indeterminate aortic valve morphology were excluded. Severe AS with high mean gradient (MG) was defined as aortic valve area (AVA)≤1cm2 or indexed AVA≤0.6 cm2/m2 + MG≥40 mmHg. Results: Of 2647 patients, 361(65% men) had BAV and 2286(59% men) had TAV, age 65±11 vs. 80±9 years(p<0.001), AVA 1.07±0.42 vs. 0.90±0.25 cm2(p<0.001), MG 41±16 vs.42±14 mmHg(p=0.4) for BAV and TAV, respectively. For both BAV and TAV groups, age, MG, and severe AS frequency were similar between women and men(all p≥0.06). BAV morphology affected AVC-AS severity and AVC-sex associations (p for interactions <0.001): as AS severity increased, mean AVC difference became larger between BAV-men and TAV-men, but smaller between BAV-women and TAV-women. Similar patterns were observed in AVC density (AVCd, AVC divided by left ventricular outflow tract diameter)-AS severity and AVCd-sex associations (p for interactions < 0.001). In patients with concordant AS severity and MG levels, the best BAV AVC-cutoff for detecting severe AS + high MG by area-under-the-curve analysis was 924 AU for BAV-women and 2851 AU for BAV-men, different from guideline-recommended AVC-thresholds (1200 for women and 2000 for men). The best BAV AVCd cutoff was 289 for BAV-women and 476 for BAV-men, similar to the cutoffs for patients predominantly with TAV (292 for women and 476 for men from Clavel MA JACC 2013). The BAV-AVC threshold identified more patients with severe AS than guideline-recommended threshold in BAV-women (84% vs 74%, p<0.001), but not in BAV-men. Conclusions: Valvular calcium accretion in AS was different by valve morphology and sex. As compared to TAV, BAV-women exhibited the least calcification while BAV-men exhibited the highest. Such patterns may impact the sensitivity of guideline-recommended AVC thresholds for detecting severe AS in BAV patients.

Background Description of cerebral and retinal infarction in patients with bicuspid aortic valve (BAV) is limited to case reports. We aimed to characterize cerebral and retinal infarction and examine outcomes in patients with BAV. Methods and Results Consecutive patients from 1975 to 2015 with BAV (n=5401) were retrospectively identified from the institutional database; those with confirmed cerebral or retinal infarction were analyzed. Infarction occurring after aortic valve replacement was not included. Patients were grouped according to infarction pathogenesis: embolism from a degenerative calcific BAV (BAVi); non‐BAV, large artery atherosclerotic or lacunar infarction (LAi); and non‐BAV, non‐large artery embolic infarction (nLAi). There were 83/5401 (1.5%) patients, mean age 54±12 years and 28% female, with confirmed cerebral or retinal infarction (LAi 23/83 [28%]; nLAi 30/83 [36%]; BAVi 26/83 [31%]; other 4/83 [5%]). Infarction was embolic in 72/83 (87%), and 35/72 (49%) were cardioembolic. CHA 2 DS 2 ‐VASc score was 1.4±1.2 in BAVi ( P =0.188 versus nLAi) and 2.3±1.2 in LAi ( P =0.005). Recurrent infarction occurred in 41% overall (50% BAVi, P =0.164 and 0.803 versus LAi and nLAi). BAVi was more commonly retinal (39% BAVi versus 13% LAi, P =0.044 versus 0% nLAi, P =0.002). Patients with BAVi and LAi were more likely to have moderate‐to‐severe aortic stenosis and undergo aortic valve replacement compared with patients with nLAi. Conclusions Cardioembolism, often from degenerative calcification of the aortic valve, is a predominant cause of cerebral and retinal infarction in patients with BAV and is frequently recurrent. Cerebral and retinal infarction should be regarded as a complication of BAV.

Abstract Aims An artificial intelligence-enabled electrocardiogram (AI-ECG) is a promising tool to detect patients with aortic stenosis (AS) before developing symptoms. However, functional, structural, or haemodynamic components reflected in AI-ECG responsible for its detection are unknown. Methods and results The AI-ECG model that was developed at Mayo Clinic using a convolutional neural network to identify patients with moderate–severe AS was applied. In patients used as the testing group, the correlation between the AI-ECG probability of AS and echocardiographic parameters was investigated. This study included 102 926 patients (63.0 ± 16.3 years, 52% male), and 28 464 (27.7%) were identified as AS positive by AI-ECG. Older age, atrial fibrillation, hypertension, diabetes, coronary artery disease, and heart failure were more common in the positive AI-ECG group than in the negative group (P &lt; 0.001). The AI-ECG was correlated with aortic valve area (ρ = −0.48, R2 = 0.20), peak velocity (ρ = 0.22, R2 = 0.08), and mean pressure gradient (ρ = 0.35, R2 = 0.08). The AI-ECG also correlated with left ventricular (LV) mass index (ρ = 0.36, R2 = 0.13), E/e′ (ρ = 0.36, R2 = 0.12), and left atrium volume index (ρ = 0.42, R2 = 0.12). Neither LV ejection fraction nor stroke volume index had a significant correlation with the AI-ECG. Age correlated with the AI-ECG (ρ = 0.46, R2 = 0.22) and its correlation with echocardiography parameters was similar to that of the AI-ECG. Conclusion A combination of AS severity, diastolic dysfunction, and LV hypertrophy is reflected in the AI-ECG to detect AS. There seems to be a gradation of the cardiac anatomical/functional features in the model and its identification process of AS is multifactorial.