Averymcnamara4293

We aimed to assess the prevalence of mitral annulus disjunction (MAD) and to explore the association with aortic disease and mitral valve surgery in patients with Marfan syndrome (MFS) and Loeys-Dietz syndrome (LDS).

We included consecutive MFS patients fulfilling Revised Ghent Criteria and LDS patients fulfilling Loeys-Dietz Revised Nosology. MAD was identified by echocardiography and was quantified as the longitudinal distance from the ventricular myocardium to the hinge point of the posterior mitral leaflet. Aortic events were defined as aortic dissection or prophylactic aortic surgery. We recorded the need of mitral valve surgery including mitral valve repair or replacement. We included 168 patients (103 with MFS and 65 with LDS). The prevalence of MAD was 41%. MAD was present in all age groups. Aortic events occurred in 112 (67%) patients (27 with dissections and 85 with prophylactic surgical interventions). Patients with MAD were younger at aortic event than those without MAD (log rank = 0.02) Patients with aortic events had greater MAD distance in posterolateral wall [8 (7-10) mm vs. 7 (6-8) mm, P = 0.04]. Mitral events occurred more frequently in patients with MAD (P < 0.001).

MAD was highly prevalent in patients with MFS and LDS. MAD was a marker of severe disease including aortic events at younger age and need of mitral valve surgery. check details Screening patients with MFS an LDS for MAD may provide prognostic information and may be relevant in planning surgical intervention. Detection of MAD in patients with MFS and LDS may infer closer clinical follow-up from younger age.

MAD was highly prevalent in patients with MFS and LDS. MAD was a marker of severe disease including aortic events at younger age and need of mitral valve surgery. Screening patients with MFS an LDS for MAD may provide prognostic information and may be relevant in planning surgical intervention. Detection of MAD in patients with MFS and LDS may infer closer clinical follow-up from younger age.Cytomegalovirus (CMV)-related complications after kidney transplantation remain a substantial challenge. Rather than applying one preventive strategy to all at-risk patients, we can now adapt our strategy at the individual patient level. Antiviral prophylaxis or a strict pre-emptive strategy may be optimal for patients at the highest risk for CMV, while patients at lower risk may benefit particularly from pre-emptive monitoring and the administration of therapy only if needed. CMV-specific T-cell assays may be useful for further refining the pre-transplant determination of CMV risk, and for guiding decisions about antiviral therapy need or duration. An immunosuppressive regimen including a mammalian target of rapamycin inhibitor reduces CMV risk and may thus be an attractive option in some patients. New antiviral agents may further expand our therapeutic arsenal in the near future, and the prospects of CMV vaccination and adoptive T-cell therapy appear to be on the horizon.Despite the standard of care, patients with chronic kidney disease (CKD) and type 2 diabetes (T2D) progress to dialysis, are hospitalized for heart failure and die prematurely. Overactivation of the mineralocorticoid receptor (MR) causes inflammation and fibrosis that damages the kidney and heart. Finerenone, a nonsteroidal, selective MR antagonist, confers kidney and heart protection in both animal models and Phase II clinical studies; the effects on serum potassium and kidney function are minimal. Comprising the largest CKD outcomes program to date, FIDELIO-DKD (FInerenone in reducing kiDnEy faiLure and dIsease prOgression in Diabetic Kidney Disease) and FIGARO-DKD (FInerenone in reducinG cArdiovascular moRtality and mOrbidity in Diabetic Kidney Disease) are Phase III trials investigating the efficacy and safety of finerenone on kidney failure and cardiovascular outcomes from early to advanced CKD in T2D. By including echocardiograms and biomarkers, they extend our understanding of pathophysiology; by including quality of life measurements, they provide patient-centered outcomes; and by including understudied yet high-risk cardiorenal subpopulations, they have the potential to widen the scope of therapy in T2D with CKD. Trial registration number FIDELIO-DKD (NCT02540993) and FIGARO-DKD (NCT02545049).

Gene panel testing by massive parallel sequencing has increased the diagnostic yield but also the number of variants of uncertain significance. Clinical interpretation of genomic data requires expertise for each gene and disease. Heterozygous ATM pathogenic variants increase the risk of cancer, particularly breast cancer. For this reason, ATM is included in most hereditary cancer panels. It is a large gene, showing a high number of variants, most of them of uncertain significance. Hence, we initiated a collaborative effort to improve and standardize variant classification for the ATM gene.

Six independent laboratories collected information from 766 ATM variant carriers harboring 283 different variants. Data were submitted in a consensus template form, variant nomenclature and clinical information were curated, and monthly team conferences were established to review and adapt American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) criteria to ATM, which were used to classify 50 representative variants.

Amid 283 different variants, 99 appeared more than once, 35 had differences in classification among laboratories. Refinement of ACMG/AMP criteria to ATM involved specification for twenty-one criteria and adjustment of strength for fourteen others. Afterwards, 50 variants carried by 254 index cases were classified with the established framework resulting in a consensus classification for all of them and a reduction in the number of variants of uncertain significance from 58% to 42%.

Our results highlight the relevance of data sharing and data curation by multidisciplinary experts to achieve improved variant classification that will eventually improve clinical management.

Our results highlight the relevance of data sharing and data curation by multidisciplinary experts to achieve improved variant classification that will eventually improve clinical management.