Citations

Abstract Objectives The progression of extra-mitral valve (MV) cardiac damage in patients with primary mitral regurgitation (MR) following surgical repair has not been described. We aimed to investigate the evolution of extra-MV cardiac damage after MV repair and to assess its prognostic significance. Methods Patients with severe primary MR undergoing surgical repair at 5 referral centres were included when echocardiographic follow-up assessment was available. Based on echocardiographic parameters at baseline and at a median follow-up of 7 (interquartile range [IQR] 4-11) months after MV repair, patients were hierarchically classified as follows: stage 0: no cardiac damage; stage 1: left ventricular dilatation and/or dysfunction; stage 2: left atrial dilatation and/or atrial fibrillation; stage 3: pulmonary hypertension and/or significant tricuspid regurgitation. The primary outcome was all-cause mortality. Results A total of 764 patients (mean age 62 ± 13 years, 70% men) were included. Compared to baseline, 43% improved at least 1 stage, 49% remained unchanged, and 8% worsened at least 1 stage during follow-up after MV repair. At a median follow-up of 91 months after MV repair, 94 patients (12%) died. By multivariate Cox regression analysis, after adjusting for potential confounders, extra-MV cardiac damage staging at follow-up (HR per-1-stage-increase = 1.571; P = .009) and cardiac damage evolution (improved group, HR = 0.467; P = .034; worsened group, HR = 2.481, P = .037) were independently associated with all-cause mortality and had incremental prognostic value over preprocedural assessment. Conclusions Extra-MV cardiac damage improves significantly after MV repair, and its evolution is independently associated with all-cause mortality, suggesting the importance of comparative echocardiographic assessment following MV repair to improve risk stratification.

Abstract Background Left ventricular (LV) remodeling in patients with valvular heart disease may vary according to the type of overload (pressure vs volume) as well as patients’ characteristics and comorbidities. Different LV remodeling patterns can be defined based on either an increase in LV mass index (LVMI), relative wall thickness (RWT), or both, and have been largely studied in patients with aortic valve disease but not in patients with primary mitral regurgitation (PMR). Purpose To describe the prevalence and baseline characteristics of the different LV remodeling patterns in PMR patients undergoing mitral valve (MV) surgery, and their association with outcome. Methods Four LV remodeling patterns were identified before MV surgery according to LVMI and RWT (Fig1-a). A cutoff of >115 g/m2 in males or >95 g/m2 in females was used to define high LVMI, and >0.42 was used to define high RWT. Patients with more than mild concomitant aortic stenosis were excluded. The study outcome was all-cause mortality. Results A total of 1538 patients were included, of which 362 (23.5%) had normal LV geometry (NG), 774 (50.3%) had eccentric hypertrophy (EH), 286 (18.6%) had concentric hypertrophy (CH), and 116 (7.5%) had concentric remodeling (Fig 1-a). Compared to the NG group (Fig 2), the EH group had more females, with larger LV size and left atrial volume index (LAVI). Compared to the NG group, patients in the CH group were significantly older and had more proportion of females. Moreover, they were more symptomatic, had higher prevalence of arterial hypertension, atrial fibrillation, and worse renal function, with smaller LV end-diastolic diameters and thicker LV walls.. Compared to the NG group, the CR group included patients with significantly smaller LV cavities and thicker LV walls, but interestingly similar LAVI and systolic pulmonary pressure, suggesting that this group might represent patients with a rather acute onset MR. Of note, there was no difference among the groups as regards LV systolic dysfunction (ejection fraction ≤ 60%, P=0.314). However, patients with CH and CR had significantly worse e’ and E/e’ ratio. After a median follow-up of 6.2 years, 211 (13.7%) patients died. Kaplan-Meier analysis showed similar survival between the NG and EH groups (91.4 vs 91.6%, P = 0.964), with significantly lower survival in the CH (76.6%, P<0.001) and CR (81.9%, P=0.028) groups, compared to NG (Fig 1-b). On multivariable analysis, after correcting for all the significant variables (Fig 1-c), CH and CR patterns carried higher risk of mortality (HR 1.7, P=0.024 and 2.0, P=0.017) compared to NG, while EH carried no additional risk (P=0.768). Conclusion LV remodeling patterns help in phenotyping patients with PMR undergoing MV surgery, and are independently associated with different risks of post-operative mortality.Figure 1:Prevalence and outcome Figure 2:Baseline characteristics

Background Intracranial aneurysms ( IAs ), abdominal aortic aneurysms ( AAAs ), and thoracic aortic aneurysms ( TAAs ) all have a familial predisposition. Given that aneurysm types are known to co‐occur, we hypothesized that there may be shared genetic risk factors for IAs , AAAs, and TAAs . Methods and Results We performed a mega‐analysis of 1000 Genomes Project‐imputed genome‐wide association study ( GWAS ) data of 4 previously published aneurysm cohorts: 2 IA cohorts (in total 1516 cases, 4305 controls), 1 AAA cohort (818 cases, 3004 controls), and 1 TAA cohort (760 cases, 2212 controls), and observed associations of 4 known IA , AAA , and/or TAA risk loci (9p21, 18q11, 15q21, and 2q33) with consistent effect directions in all 4 cohorts. We calculated polygenic scores based on IA ‐, AAA ‐, and TAA ‐associated SNP s and tested these scores for association to case‐control status in the other aneurysm cohorts; this revealed no shared polygenic effects. Similarly, linkage disequilibrium–score regression analyses did not show significant correlations between any pair of aneurysm subtypes. Last, we evaluated the evidence for 14 previously published aneurysm risk single‐nucleotide polymorphisms through collaboration in extended aneurysm cohorts, with a total of 6548 cases and 16 843 controls ( IA ) and 4391 cases and 37 904 controls ( AAA ), and found nominally significant associations for IA risk locus 18q11 near RBBP 8 to AAA (odds ratio [ OR ]=1.11; P =4.1×10 −5 ) and for TAA risk locus 15q21 near FBN 1 to AAA ( OR =1.07; P =1.1×10 −3 ). Conclusions Although there was no evidence for polygenic overlap between IAs , AAAs , and TAAs , we found nominally significant effects of two established risk loci for IAs and TAAs in AAAs . These two loci will require further replication.