INTRODUÇÃO: O implante transcateter de prótese valvar aórtica (TAVI) surge nos dias atuais como uma opção terapêutica para os pacientes sintomáticos portadores de estenose aórtica grave. Cerca de 200 mil pacientes em todo o mundo já foram submetidos ao TAVI. Não há grandes estudos que tenham avaliado a correlação prognóstica entre parâmetros ecocardiográficos antes do TAVI e eventos cardiovasculares a longo prazo. É relevante analisar se o strain pré-procedimento e outros parâmetros se comportam como fatores preditores independentes de eventos após o procedimento. MÉTODOS: Foram avaliados, de novembro de 2009 a outubro de 2016, 86 pacientes, submetidos a avaliação ecocardiográfica antes do TAVI e 30 dias após o procedimento, com análise do strain do ventrículo esquerdo pelo speckle tracking bidimensional e outros parâmetros ecocardiográficos. Esses pacientes foram acompanhados clinicamente e avaliados quanto aos desfechos: mortalidade global, mortalidade cardiovascular, classe funcional de insuficiência cardíaca e necessidade de reinternação cardiovascular. RESULTADOS: O strain global longitudinal pré-TAVI reduzido (valor absoluto) aumentou a chance de reinternação cardiovascular (OR: 0,87; 0,77 ±0,99; P= 0,038). A redução da relação E/e´ em 30 dias após o TAVI associou-se à queda da mortalidade global (OR: 0,97; 0,95 ±0,99; P = 0,006), bem como valores elevados pré procedimento dessa relação se associaram a maiores taxas de insuficiência cardíaca classe funcional III ou IV da New York Heart Association após a intervenção (OR: 1,08; 1±1,18; P = 0,049). CONCLUSÃO: Os resultados deste trabalho indicam que o strain global longitudinal pré-procedimento demonstrou ser um preditor de reinternação cardiovascular pós-intervenção a longo prazo. A relação E/e´ pré-procedimento apresentou correlação diretamente proporcional com o desenvolvimento de insuficiência cardíaca classe funcional III ou IV a longo prazo, assim como sua queda acentuada 30 dias após o procedimento correlacionou-se com menor mortalidade global. / INTRODUCTION: Transcatheter aortic valve replacement (TAVR) is a therapeutic option for symptomatic patients with severe aortic stenosis. Approximately 200,000 patients around the world have already undergone TAVR. No large studies have evaluated prognostic correlation between echocardiographic parameters before TAVR and long-term cardiovascular events. It is relevant to analyze strain before procedure and how other parameters work as independent predictors of events after the procedure. METHODS: A total of 86 patients were evaluated from November 2009 to October 2016. They underwent echocardiographic evaluation before TAVR and 30 days after the procedure with analysis of strain of the left ventricle by bidimensional speckle tracking and other echocardiographic parameters. Patients were followed clinically and evaluated in relation to outcomes: global mortality, cardiovascular mortality, functional class of heart failure and need for cardiovascular readmissions. RESULTS: Global longitudinal strain before reduced TAVR (absolute value) increased the chance of cardiovascular readmission (odds ratio: 0.87; 0.77 ± 0.99; p = 0.038). Reduction of E/e´ relationship 30 days after TAVI was associated with a drop in global mortality (odds ratio: 0.97; 0.95 ± 0.99; p = 0.006). In addition, high values for this relation before the procedure were associated with higher rates of New York Heart Association functional class III or IV heart failure after the intervention (odds ratio: 1.08; 1.00 ± 1.18; p = 0.049). CONCLUSIONS: Results of this study indicate that global longitudinal strain before the procedure is a predictor of cardiovascular readmission after TAVR. The E/e´relationship before the procedure presented a correlation directly proportional to the development of long-term functional class III or IV heart failure as well as its accentuated drop 30 days after the procedure was correlated with lower global mortality.

No description available.

Risk assessment models developed from administrative and clinical databases are used for clinical decision making. Since these models are derived from a database, they have an inherent limitation of being as good as the data they are derived from. Many of these models under or overestimate certain clinical outcomes particularly mortality in certain group of patients. Undeniably, there is significant variability in all these models on account of patient population studied, the statistical analysis used to develop the model and the period during which these models were developed. This review aims to shed light on development and application of risk assessment models for cardiac surgery with special emphasis on risk stratification in severe aortic stenosis to select patients for transcatheter aortic valve replacement.

Transcatheter aortic heart valve replacement (TAVR) is a procedure to replace a failing aortic valve and is becoming the new standard of care for patients that are not candidates for open-heart surgery [2]. However, this minimally invasive technique has shown to cause ischemic brain lesions, or “silent infarcts”, in 90% of TAVR patients, which can increase the patient’s risk for stroke by two to four times in future years [3]. Claret Medical Inc., a medical device company, has developed a cerebral protection system that filters and captures embolic debris released during endovascular procedures, such as TAVR. This thesis utilized CT scans from Claret Medical to create a physical construct of the aortic arch to experimentally validate a theoretical computer model through flow visualization. The hypothesis was that the empirical model can accurately mimic the fluid dynamic properties of the aortic arch in order validate an in silico model using the finite elements program COMSOL MultiPhysics® Modeling Software. The physical model was created from a patient CT scan of the aortic arch using additive manufacturing (3D printing) and polymer casting, resulting in the shape of the aortic arch within a transparent, silicone material. Fluid was pumped through the model to visualize and quantify the velocity of the fluid within the aortic arch. COMSOL MultiPhysics® was used to model the aortic arch and obtain velocity measurements, which were statistically compared to the velocity measurements from the physical model. There was no significant difference between the values of the physical model and the computer model, confirming the hypothesis. Overall, this study successfully used CT scans to create an anatomically accurate physical model that was validated by a computer model using a novel technique of flow visualization. As TAVR and similar procedures continue to develop, the need for experimental evaluation and visualization of devices will continue to grow, making this project relevant to many companies in the medical device industry.

Transcatheter aortic valve replacement is a well-established alternative to surgical aortic valve replacement in high-risk patients with severe symptomatic aortic stenosis. Currently, this technique is shifting towards younger patient groups with intermediate- and low-risk profile, which raises the question about long-term durability. Despite acceptable results up to 5 years, little is currently known about valve performance beyond 5 years. Since valve deterioration, thrombosis and endocarditis seem to be the main factors affecting valve durability, precise and widely accepted definitions of these parameters were stated by the European Association of Percutaneous Cardiovascular Interventions (EAPCI) in 2017, followed by the Valve in Valve International Data (VIVID) group definitions in 2018 and the Valve Academic Research Consortium 3 (VARC-3) definitions in 2021. Until the introduction of these definitions, interstudy comparisons were difficult due to missing uniformity. Since the release of these recommendations, an increasing number of studies have reported their data on long-term durability using these new criteria. The aim of the present article is to discuss the current definitions on bioprosthetic valve durability, and to summarize the available data on long-term durability of transcatheter aortic valves.

Background: Systemic inflammation can occur after transcatheter aortic valve replacement (TAVR) and correlates with adverse outcome. The impact of remote ischemic preconditioning (RIPC) on TAVR associated systemic inflammation is unknown and was focus of this study. Methods: We performed a prospective controlled trial at a single center and included 66 patients treated with remote ischemic preconditioning (RIPC) prior to TAVR, who were matched to a control group by propensity score. RIPC was applied to the upper extremity using a conventional tourniquet. Definition of systemic inflammation was based on leucocyte count, C-reactive protein (CRP), procalcitonin (PCT) and interleukin-6 (IL-6), assessed in the first 5 days following the TAVR procedure. Mortality was determined within 6 months after TAVR. RIPC group and matched control group showed comparable baseline characteristics. Results: Systemic inflammation occurred in 66% of all patients after TAVR. Overall, survival after 6 months was significantly reduced in patients with systemic inflammation. RIPC, in comparison to control, did not significantly alter the plasma levels of leucocyte count, CRP, PCT or IL-6 within the first 5 days after TAVR. Furthermore, inflammation associated survival after 6 months was not improved by RIPC. Of all peri-interventional variables assessed, only the amount of the applied contrast agent was connected to the occurrence of systemic inflammation. Conclusions: Systemic inflammation frequently occurs after TAVR and leads to increased mortality after 6 months. RIPC neither reduces the incidence of systemic inflammation nor improves inflammation associated patient survival within 6 months.

No description available.

Leaflet replacement in aortic valve repair (AVr) is associated with increased long-term repair failure. Hemodynamic performance and mechanical stress levels were investigated after porcine AVr with 5 types of clinically relevant replacement materials to ascertain which material(s) would be best suited for repair. Porcine aortic roots with intact aortic valves were placed in a left-heart simulator mounted with a high-speed camera for baseline valve assessment. Then, the non-coronary leaflet was excised and replaced with autologous porcine pericardium (APP), glutaraldehyde-fixed bovine pericardial patch (BPP; Synovis™), extracellular matrix scaffold (CorMatrix™), or collagen-impregnated Dacron (HEMASHIELD™). Hemodynamic parameters were measured over a range of cardiac outputs (2.5–6.5L/min) post-repair. Material properties of the above materials along with St. Jude Medical™ Pericardial Patch with EnCapTM Technology (SJM) were determined using pressurization experiments. Finite element models of the aortic valve and root complex were then constructed to verify the hemodynamic characteristics and determine leaflet stress levels. This study demonstrates that APP and SJM have the closest profiles to normal aortic valves; therefore, use of either replacement material may be best suited. Increased stresses found in BPP, HEMASHIELD™, and CorMatrix™ groups may be associated with late repair failure.

Leaflet replacement in aortic valve repair (AVr) is associated with increased long-term repair failure. Hemodynamic performance and mechanical stress levels were investigated after porcine AVr with 5 types of clinically relevant replacement materials to ascertain which material(s) would be best suited for repair. Porcine aortic roots with intact aortic valves were placed in a left-heart simulator mounted with a high-speed camera for baseline valve assessment. Then, the non-coronary leaflet was excised and replaced with autologous porcine pericardium (APP), glutaraldehyde-fixed bovine pericardial patch (BPP; Synovis™), extracellular matrix scaffold (CorMatrix™), or collagen-impregnated Dacron (HEMASHIELD™). Hemodynamic parameters were measured over a range of cardiac outputs (2.5–6.5L/min) post-repair. Material properties of the above materials along with St. Jude Medical™ Pericardial Patch with EnCapTM Technology (SJM) were determined using pressurization experiments. Finite element models of the aortic valve and root complex were then constructed to verify the hemodynamic characteristics and determine leaflet stress levels. This study demonstrates that APP and SJM have the closest profiles to normal aortic valves; therefore, use of either replacement material may be best suited. Increased stresses found in BPP, HEMASHIELD™, and CorMatrix™ groups may be associated with late repair failure.