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Background: With advancements in cancer treatment, the life expectancy of oncology patients has improved. Thus, transcatheter aortic valve replacement (TAVR) may be considered as a feasible option for oncology patients with severe symptomatic aortic stenosis (AS). We aim to evaluate the difference in short- and long-term all-cause mortality in cancer and non-cancer patients treated with TAVR for severe AS., Methods: Medline, PubMed, and Cochrane Central Register of Controlled Trials were searched for relevant studies. Patients with cancer who underwent treatment with TAVR for severe AS were included and compared to an identical population without cancer. The primary endpoints were short- and long-term all-cause mortality., Results: Of 899 studies included, 8 met inclusion criteria. Cancer patients had significantly higher long-term all-cause mortality after TAVR when compared to patients without cancer (risk ratio [RR] 1.43; 95% confidence interval (CI) 1.26-1.62; P < 0.01). Four studies evaluated short-term mortality after TAVR and demonstrated no difference in it in patients with and without cancer (RR 0.72; 95% CI 0.47-1.08; P = 0.11)., Conclusion: Patients with cancer and severe AS have higher long-term all-cause mortality after TAVR. However, we found no difference in short-term all-cause mortality when comparing patients with and without cancer. The decision to perform TAVR in cancer patients should be individualized based on life expectancy and existing co-morbidities., (© 2022. The Author(s).)

Background/purpose: Machine learning has been used to predict procedural risk in patients undergoing various medical interventions and procedures. One-year mortality in patients after Transcatheter Aortic Valve Replacement (TAVR) has a wide range (from 8.5 to 24% in various studies). We sought to apply machine learning to determine predictors of one year mortality in patients undergoing TAVR., Methods/materials: A retrospective study of 1055 patients who underwent TAVR (Jan 2014-June 2017) with one-year follow up was completed. Baseline demographics, clinical, electrocardiography (ECG), Computed Tomography (CT) and echocardiography data were abstracted. Variables with near zero variance or ≥50% missing data were excluded. The Gradient Boosting Machine learning (GBM) prediction model included 163 variables and was optimized using 5-fold cross-validation repeated 10-times. The receiver operator characteristic (ROC) for the GBM model was calculated to predict one-year mortality post TAVR, and then compared to the TAVI 2 -SCORE and CoreValve score., Results: Among 1055 TAVR patients (mean age 80.9 ± 7.9 years, 42% female), 14.02% died at one year. 78% had balloon expandable valves placed. Based on GBM, the ten most predictive variables for one-year survival were cardiac power index, hemoglobin, systolic blood pressure, INR, diastolic blood pressure, body mass index, valve calcium score, serum creatinine, aortic annulus area, and albumin. The area under ROC to predict survival for the GBM model vs TAVI 2 -SCORE and CoreValve Score was 0.72 (95% CI 0.68-0.78) vs 0.56 (95%CI 0.51-0.62) and 0.53 (95% CI 0.47-0.59) respectively with p < 0.0001., Conclusion: The GBM model outperforms TAVI 2 -SCORE and CoreValve Score in predicting mortality one-year post TAVR., Competing Interests: Declaration of competing interest The authors report no financial relationships or conflicts of interest regarding the content herein., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: Cardiac power to left ventricular mass (LVM) ratio, also termed cardiac efficiency (CE), reflects the rate of cardiac work delivered to the potential energy stored in LVM. We sought to assess the association between baseline resting CE and survival post transcatheter aortic valve replacement (TAVR)., Methods: We retrospectively extracted data of patients who received TAVR in the Mayo Clinic Foundation with follow up data available at 1 year. Cardiac output was measured using Doppler echocardiography at baseline. CE was calculated using the formula, (cardiac output × mean arterial blood pressure)/(451 × LVM × 100) W/100 g. Survival score analysis was performed to identify cut off value for CE to identify the maximum difference in mortality in the study cohort. Patients were subsequently divided into 2 groups CE < 0.38 W/100 g and CE ≥ 0.38 W/100 g. Survival was determined using Kaplan-Meier method., Results: We included 954 patients in the final analysis. CE in group1 vs group 2 was 0.31 ± 0.05 W/100 g vs 0.59 ± 0.18 W/100 g. Patients in group1 were more likely to be male, had a higher prevalence of atrial fibrillation, prior myocardial infarction, mitral and tricuspid regurgitation. They also had a higher STS risk score, NYHA functional class, and lower aortic valve area. The remainder of the baseline characteristics was similar in both groups. A lower CE was associated with higher 1-year mortality following TAVR based on multivariate analysis. (Group1: 22.18% vs Group 2: 9.89%, p < .0001)., Conclusion: In our cohort, a low baseline CE (<0.38 W/100 g) conferred higher mortality risk following TAVR., Competing Interests: Declaration of competing interest The authors report no financial relationships or conflicts of interest regarding the content herein., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: Cardiac power index (CPI) is an integrative hemodynamic measure of cardiac pumping capability and is the product of the simultaneously measured mean arterial pressure and the cardiac output. We assessed the association between baseline resting CPI and survival post transcatheter aortic valve replacement (TAVR)., Methods and Results: We retrospectively abstracted data of patients who underwent TAVR at the Mayo Clinic Foundation with follow-up data available at 1 year. Baseline demographic, clinical, and echocardiographic data were abstracted. CPI was calculated using the formula, (cardiac output x mean arterial blood pressure) / (451 x body surface area) W/m². Patients were divided into CPI <0.48 W/m² (group 1) and CPI ≥0.48 W/m² (group 2). Survival according to CPI was determined using Kaplan-Meier method. Multivariate Cox regression analysis was performed to adjust for covariates. Nine hundred and seventy-five patients were included in the final analysis. CPI in group 1 vs group 2 was 0.41 ± 0.05 W/m² vs 0.66 ± 0.14 W/m², respectively (P<.001, two-sided t-test). Patients in group 1 were more likely to be male and to have a prior history of myocardial infarction, coronary revascularization, peripheral arterial disease, diabetes mellitus, transient ischemic attack, carotid artery disease, atrial fibrillation, lower left ventricular ejection fraction, and moderate to severe mitral and tricuspid regurgitation. After adjusting for baseline covariates, a lower CPI was associated with higher 1-year mortality among patients undergoing TAVR (24.39% in group 1 vs 8.28% in group 2; P<.001)., Conclusion: Low baseline CPI (<0.48 W/m²) confers higher mortality risk among patients undergoing TAVR and provides additional prognostic information, which can help risk-stratify patients.

Whilst the prevalence of aortic valve stenosis (AS) increases with age (1), surgery restores age-corrected survival to near normal. In parallel with senescence, comorbidities are present, one such example being chronic obstructive pulmonary disease (COPD), which causes significant disability and is the third leading cause of death in the United Sates (2). The presence of COPD is associated with increased perioperative complications, and serve as a reason to deny a patient surgical intervention because of the increased surgical risk (3).

In patients with hypertrophic obstructive cardiomyopathy and dynamic left ventricular outflow tract obstructions, an additional fixed obstruction may uncommonly coexist. In these situations, flow through the aortic valve is usually delayed but typically still throughout the entire ejection period. We describe a case of marked reduction in aortic flow during mid and late systole, diagnosed by Doppler echocardiography, caused by combined hypertrophic obstructive cardiomyopathy and severe calcific bicuspid aortic stenosis., (Copyright © 2010 American Society of Echocardiography. Published by Mosby, Inc. All rights reserved.)

Calcific aortic valve stenosis is the most frequent valve disease and the most common cause of aortic valve replacement in the western world, concomitant with aging of the general population and habitual consumption of a high-calorie diet. For years it was considered to be a passive wear and tear process but now it is recognized as an active process similar to atherosclerosis with involvement of several mediators, such as adhesion molecules, TGFs, cathepsin enzymes and bone regulatory proteins. As conviction grew that aortic stenosis has a genesis similar to atherosclerosis, the hypothesis that statins might be able to alter the progression of the disease also grew. Various retrospective studies confirmed the benefits of statin use at an earlier stage of the disease, but some disappointing results were demonstrated by randomized clinical trials.

The development of heart failure in patients with aortic valve disease is associated with increased mortality, unless aortic valve replacement is performed. There is an especially high risk of death among patients with low ejection fraction. The heart failure must be treated and the patient's condition stabilized before surgery is performed. A delay in surgery, on the other hand, may lead to irreversible cardiac dysfunction and culminate in heart failure. Initial management must include an evaluation of the severity of the lesion and the functional state of the left ventricle. It is possible to achieve both of these goals simultaneously with echocardiography and pharmacologic challenge.

Patients with symptomatic severe aortic stenosis (AS) benefit from aortic valve replacement (AVR). Management of severe AS in the absence of symptoms is, however, controversial and often challenging. Unselected premature AVR carries the risks of cardiac surgery; delayed AVR due to unrecognized symptoms can result in a dismal outcome. Echocardiography is the standard tool to evaluate and follow patients with AS. Nevertheless, most of the current echocardiographic parameters have limitations in predicting symptom onset and clinical outcome. The same applies to clinical parameters, exercise stress testing, and other imaging modalities used in AS evaluation and serial follow-up. Predictors of outcome could, however, help to identify asymptomatic patients who would benefit from expedited AVR with the goal to reduce mortality. This review will discuss the most relevant clinical studies and guidelines on management of asymptomatic severe AS, with an emphasis on providing concise information for identifying patients at high risk.