Differences in life expectancy within and between countries: implications for domestic TAVI guidelines in Australia and Aotearoa New Zealand.

The advent of transcatheter aortic valve implantation (TAVI) has caused a paradigm shift in the management of aortic stenosis away from traditional surgical aortic valve replacement (SAVR). However, uncertainty remains about the long-term (>10 year) durability of TAVI valves, especially in younger patients. This viewpoint collates life expectancy data from Australia and Aotearoa New Zealand to propose sex-specific age-based recommendations for choice of SAVR versus TAVI in their respective general populations and among Aboriginal and Torres Strait Islander people in Australia and both Maori and Pacific peoples living in Aotearoa New Zealand.

Atorvastatin reduces calcification in valve interstitial cells via the NF-κB signalling pathway by promoting Atg5-mediated autophagy.

Aortic valve calcification (AVC) is a common cardiovascular disease and a risk factor for sudden death. However, the potential mechanisms and effective therapeutic drugs need to be explored. Atorvastatin is a statin that can effectively prevent cardiovascular events by lowering cholesterol levels. However, whether atorvastatin can inhibit AVC by reducing low-density lipoprotein (LDL) and its possible mechanism of action require further exploration. In the current study, we constructed an in vitro AVC model by inducing calcification of the valve interstitial cells. We found that atorvastatin significantly inhibited osteogenic differentiation, reduced the deposition of calcium nodules in valve interstitial cells, and enhanced autophagy in calcified valve interstitial cells, manifested by increased expression levels of the autophagy proteins Atg5 and LC3B-II/I and the formation of smooth autophagic flow. Atorvastatin inhibited the NF-κB signalling pathway and the expression of inflammatory factors mediated by NF-κB in calcified valve interstitial cells. The activation of the NF-κB signalling pathway led to the reversal of atorvastatin's effect on enhancing autophagy and alleviating valve interstitial cell calcification. In conclusion, atorvastatin inhibited the NF-κB signalling pathway by upregulating autophagy, thereby alleviating valve interstitial cell calcification, which was conducive to improving AVC.

Trends and Disparities in Valvular Heart Disease Mortality in the United States From 1999 to 2020.

BACKGROUND: Percutaneous heart valve procedures have been increasingly performed over the past decade, yet real-world mortality data on valvular heart disease (VHD) in the United States remain limited. METHODS AND RESULTS: We queried the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database among patients ≥15 years old from 1999 to 2020. VHD and its subtypes were listed as the underlying cause of death. We calculated age-adjusted mortality rate (AAMR) per 100 000 individuals and determined overall trends by estimating the average annual percent change using the Joinpoint regression program. Subgroup analyses were performed based on demographic and geographic factors. In the 22-year study, there were 446 096 VHD deaths, accounting for 0.80% of all-cause mortality (56 014 102 people) and 2.38% of the total cardiovascular mortality (18 759 451 people). Aortic stenosis recorded the highest mortality of VHD-related death in both male (109 529, 61.74%) and female (166 930, 62.13%) populations. The AAMR of VHD has declined from 8.4 (95% CI, 8.2-8.5) to 6.6 (95% CI, 6.5-6.7) per 100 000 population. Similar decreasing AAMR trends were also seen for the VHD subtypes. Men recorded higher AAMR for aortic stenosis and aortic regurgitation, whereas women had higher AAMR for mitral stenosis and mitral regurgitation. Mitral regurgitation had the highest change in average annual percent change in AAMR. CONCLUSIONS: The mortality rate of VHD among the US population has declined over the past 2 decades. This highlights the likely efficacy of increasing surveillance and advancement in the management of VHD, resulting in improved outcomes.

Elevated Lp(a): Guidance for Identifying and Managing Patients.

Lipoprotein(a) (Lp(a)) is a unique low-density lipoprotein-like lipoprotein that is considered an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve stenosis. The Lp(a) molecule also contains apolipoprotein A and apolipoprotein B, which collectively promote atherosclerosis, thrombosis, and inflammation. Lp(a) is highly genetic and minimally responsive to nonpharmacological measures. Lp(a) serum levels ≥125 nmol/L are associated with increased ASCVD risk, but this threshold has not been accepted universally. Elevated Lp(a) is the most common genetic dyslipidemia affecting approximately 20% of the general population. Certain currently available lipid-lowering drugs, including the proprotein convertase subtilisin/kexin type 9 therapies, produce moderate reductions in Lp(a); however, none are indicated for the treatment of elevated Lp(a). There are currently four investigational RNA-based therapeutic agents that reduce Lp(a) by 70% to 100%. Two of these agents are being evaluated for ASCVD risk reduction in adequately powered outcomes trials, with results expected in 2 to 3 years. Until such therapies become available and demonstrate favorable clinical outcomes, strategies for elevated Lp(a) primarily involve early and intensive ASCVD risk factor management.

Perceval-S over time. Clinical outcomes after ten years of usage.

BACKGROUND: Perceval-S has become a reliable and commonly used option in surgical aortic valve replacement (AVR) since its first implantation in humans 15 years ago. Despite the fact that this aortic valve has been proven efficient enough in the short and mid-term period, there is still lack of evidence for the long-term outcomes. MATERIALS AND METHODS: This is an observational retrospective study in a high-volume cardiovascular center. Pertinent data were collected for all the patients in whom Perceval-S was implanted from 2013 to 2020. RESULTS: The total number of patients was 205 with a mean age 76.4 years. Mean survival time was 5.5 years (SE = 0.26). The overall survival probability of patients undergoing aortic valve replacement with Perceval-S at 6 months was 91.0% (Standard Error SE = 2.0%), at one year 88.4% (SE = 2.3%) and at 5-years 64.8% (SE = 4.4%). A detrimental cardiac event leading to death was the probable cause of death in 35 patients (55.6%). The initiation of Transcatheter Aortic Valve Replacement (TAVR) program in our center in 2017 was associated with a decline in the number of very high-risk patients treated with sutureless bioprosthesis. This fact is demonstrated by the significant shift towards lower surgical risk cases, as median Euroscore II was reduced from 5,550 in 2016 to 3,390 in 2020. Mini sternotomy was implemented in 79,5% of cases favoring less invasive approach. Low incidence of reinterventions, patient prosthesis mismatch and structural valve degeneration was detected. CONCLUSIONS: The survival rate after aortic valve replacement with implantation of Perceval-S is satisfactory in the long-term follow-up. Cases of bioprosthesis dysfunction were limited. Mini sternotomy was used in the majority of cases. TAVR initiation program impacted on the proportion of patients treated with Perceval-S with reduction of high-risk patients submitted to surgery.

Extent of cardiac damage and hospitalization burden in patients undergoing transcatheter aortic valve replacement.

BACKGROUND: Cardiac damage has gained increasing attention as a valid prognostic marker of mortality after transcatheter aortic valve replacement (TAVR). However, studies investigating the possible association between cardiac damage and hospitalization burden in TAVR patients are lacking. AIMS: This study aimed to investigate the impact of baseline cardiac damage on the hospitalization burden before, during, and after TAVR in an all-comers population. METHODS: All consecutive patients who underwent TAVR between 2016 and 2020 were included. Electronic medical records of all patients were examined to validate cardiovascular (CV) and heart failure (HF) related hospitalizations from 6 months before to 1 year after TAVR. Baseline cardiac damage was defined according to the staging classification by Généreux et al. RESULTS: Among 1397 TAVR patients, 94 (6.7%) had stage 0, 368 (26.4%) stage 1, 736 (52.7%) stage 2, 115 (8.2%) stage 3, and 84 (6.0%) stage 4 cardiac damage. Patients with more advanced cardiac damage at baseline had more HF hospitalizations within 6 months before TAVR (p < 0.01) and with a longer length of stay (LoS) (p < 0.01). Regarding the index TAVR admission, there was no difference in procedure time (p = 0.26) or LoS (p = 0.18) between groups. Still, TAVR patients with more advanced baseline cardiac damage had a higher risk of CV and HF rehospitalization after TAVR (p < 0.05). CONCLUSIONS: Baseline cardiac damage in patients undergoing TAVR has an impact on the pre- and post-procedural cardiovascular hospitalization burden. However, the cardiac damage status does not affect the TAVR procedure time or index TAVR admission length of stay.

Outcomes in patients with aortic stenosis and severely reduced ejection fraction following surgical aortic valve replacement and transcatheter aortic valve replacement.

BACKGROUND: Patients with severe aortic stenosis (AS) and left ventricular (LV) dysfunction demonstrate improvement in left ventricular injection fraction (LVEF) after aortic valve replacement (AVR). The timing and magnitude of recovery in patients with very low LVEF (≤ 25%) in surgical or transcatheter AVR is not well studied. OBJECTIVE: Determine clinical outcomes following transcatheter aortic valve replacement (TAVR) and surgical aortic valve repair (SAVR) in the subset of patients with severely reduced EF ≤ 25%. METHODS: Single-center, retrospective study with primary endpoint of LVEF 1-week following either procedure. Secondary outcomes included 30-day mortality and delayed postprocedural LVEF. T-test was used to compare variables and linear regression was used to adjust differences among baseline variables. RESULTS: 83 patients were enrolled (TAVR = 56 and SAVR = 27). TAVR patients were older at the time of procedure (TAVR 77.29 ± 8.69 vs. SAVR 65.41 ± 10.05, p < 0.001). One week post procedure, all patients had improved LVEF after both procedures (p < 0.001). There was no significant difference in LVEF between either group (TAVR 33.5 ± 11.77 vs. SAVR 35.3 ± 13.57, p = 0.60). Average LVEF continued to rise and increased by 101% at final follow-up (41.26 ± 13.70). 30-day mortality rates in SAVR and TAVR were similar (7.4% vs. 7.1%, p = 0.91). CONCLUSION: Patients with severe AS and LVEF ≤ 25% have a significant recovery in post-procedural EF following AVR regardless of method. LVEF doubled at two years post-procedure. There was no significant difference in 30-day mortality or mean EF recovery between TAVR and SAVR. TRIAL REGISTRATION: Indiana University institutional review board granted approval for above study numbered 15,322.

A randomised multicentre study of angiography- versus physiologyguided percutaneous coronary intervention in patients with coronary artery disease undergoing TAVI: design and rationale of the FAITAVI trial.

The treatment of coronary artery disease (CAD) in patients with severe aortic valve stenosis (AVS) eligible for transcatheter aortic valve implantation (TAVI) is not supported by clinical evidence, and the role of physiology over anatomy as well as the timing of coronary intervention are not defined. FAITAVI (ClinicalTrials.gov: NCT03360591) is a nationwide prospective, open-label, multicentre, randomised controlled study comparing the angiography-guided versus the physiology-guided coronary revascularisation strategy in patients with combined significant CAD and severe AVS undergoing TAVI. Significant CAD will be defined as coronary stenosis ≥50%, as assessed by visual estimation in vessels ≥2.5 mm. Physiology will be tested by fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR). The study will be conducted at 15 sites in Italy. In the angiography arm, percutaneous coronary intervention (PCI) will be performed either before TAVI, during the TAVI procedure - before or after the valve implantation - or within 1 month±5 days of the valve implantation, left to the operator's decision. In the physiology arm, FFR and iFR will be performed before TAVI, and PCI will be indicated for FFR ≤0.80, otherwise the intervention will be deferred. In case of borderline values (0.81-0.85), FFR and iFR will be repeated after TAVI, with PCI performed when needed. With a sample size of 320 patients, the study is powered to evaluate the primary endpoint (a composite of death, myocardial infarction, stroke, major bleeding, or ischaemia-driven target vessel revascularisation). TAVI indication, strategy and medical treatment will be the same in both groups. After discharge, patients will be contacted at 1, 6, 12 and 24 months after the procedure to assess their general clinical status, and at 12 months for the occurrence of events included in the primary and secondary endpoints. FAITAVI is the first randomised clinical trial to investigate "optimal" percutaneous coronary intervention associated with TAVI in patients with severe AVS and CAD.

Outcomes and predictors of left ventricle recovery in patients with severe left ventricular dysfunction undergoing transcatheter aortic valve implantation.

BACKGROUND: Data on the likelihood of left ventricle (LV) recovery in patients with severe LV dysfunction and severe aortic stenosis undergoing transcatheter aortic valve implantation (TAVI) and its prognostic value are limited. AIMS: We aimed to assess the likelihood of LV recovery following TAVI, examine its association with midterm mortality, and identify independent predictors of LV function. METHODS: In our multicentre registry of 17 TAVI centres in Western Europe and Israel, patients were stratified by baseline LV function (ejection fraction [EF] >/≤30%) and LV response: no LV recovery, LV recovery (EF increase ≥10%), and LV normalisation (EF ≥50% post-TAVI). RESULTS: Our analysis included 10,872 patients; baseline EF was ≤30% in 914 (8.4%) patients and >30% in 9,958 (91.6%) patients. The LV recovered in 544 (59.5%) patients, including 244 (26.7%) patients whose LV function normalised completely (EF >50%). Three-year mortality for patients without severe LV dysfunction at baseline was 29.4%. Compared to this, no LV recovery was associated with a significant increase in mortality (adjusted hazard ratio 1.32; p<0.001). Patients with similar LV function post-TAVI had similar rates of 3-year mortality, regardless of their baseline LV function. Three variables were associated with a higher likelihood of LV recovery following TAVI: no previous myocardial infarction (MI), estimated glomerular filtration rate >60 mL/min, and mean aortic valve gradient (mAVG) (expressed either as a continuous variable or as a binary variable using the standard low-flow, low-gradient aortic stenosis [AS] definition). CONCLUSIONS: LV recovery following TAVI and the extent of this recovery are major determinants of midterm mortality in patients with severe AS and severe LV dysfunction undergoing TAVI. Patients with no previous MI and those with an mAVG >40 mmHg show the best results following TAVI, which are at least equivalent to those for patients without severe LV dysfunction. (ClinicalTrials.gov: NCT04031274).

Thrombocytopenia after sutureless and standard stented aortic valve replacement: a retrospective analysis of risk factors, clinical course, and early outcome.

OBJECTIVES: Thrombocytopenia following Perceval aortic valve replacement has been described previously with variable outcome. Studies have lacked a robust analysis of platelet fluctuation and factors affecting it. We aimed to statistically describe the trend in thrombocyte variability as compared with conventional aortic valve replacement, and to assess predictors as well as impact on associated outcomes. METHODS: One hundred consecutive patients with first-time Perceval were retrospectively compared to 219 patients after Perimount Magna Ease valve replacement. The primary outcome was the serial thrombocyte count on day 0-6. Generalized estimating equations were used to analyse the data using fixed-effect models: for the effect of the post-operative day on platelet count, and random-effect models estimating both time-variant (platelets) and time in-variant variables (valve type, age, LV function, pre-op platelet level). RESULTS: Perceval patients were older (72 ± 1 vs 68 ± 1 years, p < 0.01) with higher NYHA status (3(2-3) vs 2(1-2), p < 0.001). Mean platelet count in the sutureless group was lowest on day 2 (91.9 ± 31.6 vs 121.7 ± 53.8 × 103 µl-1), and lower on day 4 (97.9 ± 44) and 6 (110.6 ± 61) compared to the conventional group (157.2 ± 60 and 181.7 ± 79) but did not result in a higher number of transfusions, bleeding or longer hospital stay (p > 0.05). Reduced platelet count was a strong predictor of red cell transfusion in the conventional (p = 0.016), but not in the sutureless group (p = 0.457). Age (Coef -1.025, 95%CI-1.649--0.401, p < 0.001) and CPB-time (Coef 0.186, 95%CI-0.371--0.001, p = 0.048) were predictors for lower platelet levels. CONCLUSION: Considering the older patient profile treated with Perceval, postoperative thrombocytopenia does not impact on outcome in terms of transfusions, complications or hospital stay.

A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis.

BACKGROUND: Multidisciplinary Heart Teams (HTs) play a central role in the management of valvular heart diseases. However, the comprehensive evaluation of patients' data can be hindered by logistical challenges, which in turn may affect the care they receive. AIMS: This study aimed to explore the ability of artificial intelligence (AI), particularly large language models (LLMs), to improve clinical decision-making and enhance the efficiency of HTs. METHODS: Data from patients with severe aortic stenosis presented at HT meetings were retrospectively analysed. A standardised multiple-choice questionnaire, with 14 key variables, was processed by the OpenAI Chat Generative Pre-trained Transformer (GPT)-4. AI-generated decisions were then compared to those made by the HT. RESULTS: This study included 150 patients, with ChatGPT agreeing with the HT's decisions 77% of the time. The agreement rate varied depending on treatment modality: 90% for transcatheter valve implantation, 65% for surgical valve replacement, and 65% for medical treatment. CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.

Heyde's syndrome: a challenging case of severe aortic stenosis and gastrointestinal bleeding.

We present the case of an elderly man with a history of diastolic congestive heart failure, severe aortic stenosis and atrial fibrillation, who presented with fatigue, weakness, coffee ground emesis and black tarry stool. Haemoglobin was 68 g/L. Lactate dehydrogenase was elevated at 1038. Evaluation by cardiology and gastroenterology specialists revealed reflux oesophagitis and a mild hiatal hernia on oesophagogastroduodenoscopy, normal colonoscopy and small bowel series without obstruction. Capsule endoscopy identified angiodysplasia in the small intestine.The patient was diagnosed with Heyde's syndrome based on the triad of severe aortic stenosis, gastrointestinal bleeding from angiodysplasia and acquired von Willebrand syndrome. The patient underwent transcatheter aortic valve replacement, resulting in the resolution of symptoms.Heyde's syndrome represents a challenging clinical entity requiring a multidisciplinary approach for accurate diagnosis and management. Early recognition, prompt intervention and interdisciplinary collaboration are crucial in optimising patient outcomes.