Inorganic nitrate benefits contrast-induced nephropathy after coronary angiography for acute coronary syndromes: the NITRATE-CIN trial.

BACKGROUND AND AIMS: Contrast-induced nephropathy (CIN), also known as contrast-associated acute kidney injury (CA-AKI) underlies a significant proportion of the morbidity and mortality following coronary angiographic procedures in high-risk patients and remains a significant unmet need. In pre-clinical studies inorganic nitrate, which is chemically reduced in vivo to nitric oxide, is renoprotective but this observation is yet to be translated clinically. In this study, the efficacy of inorganic nitrate in the prevention of CIN in high-risk patients presenting with acute coronary syndromes (ACS) is reported. METHODS: NITRATE-CIN is a double-blind, randomized, single-centre, placebo-controlled trial assessing efficacy of inorganic nitrate in CIN prevention in at-risk patients presenting with ACS. Patients were randomized 1:1 to once daily potassium nitrate (12 mmol) or placebo (potassium chloride) capsules for 5 days. The primary endpoint was CIN (KDIGO criteria). Secondary outcomes included kidney function [estimated glomerular filtration rate (eGFR)] at 3 months, rates of procedural myocardial infarction, and major adverse cardiac events (MACE) at 12 months. This study is registered with ClinicalTrials.gov: NCT03627130. RESULTS: Over 3 years, 640 patients were randomized with a median follow-up of 1.0 years, 319 received inorganic nitrate with 321 received placebo. The mean age of trial participants was 71.0 years, with 73.3% male and 75.2% Caucasian; 45.9% had diabetes, 56.0% had chronic kidney disease (eGFR <60 mL/min) and the mean Mehran score of the population was 10. Inorganic nitrate treatment significantly reduced CIN rates (9.1%) vs. placebo (30.5%, P < .001). This difference persisted after adjustment for baseline creatinine and diabetes status (odds ratio 0.21, 95% confidence interval 0.13-0.34). Secondary outcomes were improved with inorganic nitrate, with lower rates of procedural myocardial infarction (2.7% vs. 12.5%, P = .003), improved 3-month renal function (between-group change in eGFR 5.17, 95% CI 2.94-7.39) and reduced 1-year MACE (9.1% vs. 18.1%, P = .001) vs. placebo. CONCLUSIONS: In patients at risk of renal injury undergoing coronary angiography for ACS, a short (5 day) course of once-daily inorganic nitrate reduced CIN, improved kidney outcomes at 3 months, and MACE events at 1 year compared to placebo.

The effect of CTCA guided selective invasive graft assessment on coronary angiographic parameters and outcomes: Insights from the BYPASS-CTCA trial.

BACKGROUND: Computed tomography cardiac angiography (CTCA) is recommended for the evaluation of patients with prior coronary artery bypass graft (CABG) surgery. The BYPASS-CTCA study demonstrated that CTCA prior to invasive coronary angiography (ICA) in CABG patients leads to significant reductions in procedure time and contrast-induced nephropathy (CIN), alongside improved patient satisfaction. However, whether CTCA information was used to facilitate selective graft cannulation at ICA was not protocol mandated. In this post-hoc analysis we investigated the influence of CTCA facilitated selective graft assessment on angiographic parameters and study endpoints. METHODS: BYPASS-CTCA was a randomized controlled trial in which patients with previous CABG referred for ICA were randomized to undergo CTCA prior to ICA, or ICA alone. In this post-hoc analysis we assessed the impact of selective ICA (grafts not invasively cannulated based on the CTCA result) following CTCA versus non-selective ICA (imaging all grafts irrespective of CTCA findings). The primary endpoints were ICA procedural duration, incidence of CIN, and patient satisfaction post-ICA. Secondary endpoints included the incidence of procedural complications and 1-year major adverse cardiac events. RESULTS: In the CTCA cohort (n â€‹= â€‹343), 214 (62.4%) patients had selective coronary angiography performed, whereas 129 (37.6%) patients had non-selective ICA. Procedure times were significantly reduced in the selective CTCA â€‹+ â€‹ICA group compared to the non-selective CTCA â€‹+ â€‹ICA group (-5.82min, 95% CI -7.99 to -3.65, p â€‹< â€‹0.001) along with reduction of CIN (1.5% vs 5.8%, OR 0.26, 95% CI 0.10 to 0.98). No difference was seen in patient satisfaction with the ICA, however procedural complications (0.9% vs 4.7%, OR 0.21, 95% CI 0.09-0.87) and 1-year major adverse cardiac events (13.1% vs 20.9%, HR 0.55, 95% CI 0.32-0.96) were significantly lower in the selective group. CONCLUSIONS: In patients with prior CABG, CTCA guided selective angiographic assessment of bypass grafts is associated with improved procedural parameters, lower complication rates and better 12-month outcomes. Taken in addition to the main findings of the BYPASS-CTCA trial, these results suggest a synergistic approach between CTCA and ICA should be considered in this patient group. REGISTRATION: ClinicalTrials.gov, NCT03736018.

Efficacy of human experts and an automated segmentation algorithm in quantifying disease pathology in coronary computed tomography angiography: A head-to-head comparison with intravascular ultrasound imaging.

BACKGROUND: Coronary computed tomography angiography (CCTA) analysis is currently performed by experts and is a laborious process. Fully automated edge-detection methods have been developed to expedite CCTA segmentation however their use is limited as there are concerns about their accuracy. This study aims to compare the performance of an automated CCTA analysis software and the experts using near-infrared spectroscopy-intravascular ultrasound imaging (NIRS-IVUS) as a reference standard. METHODS: Fifty-one participants (150 vessels) with chronic coronary syndrome who underwent CCTA and 3-vessel NIRS-IVUS were included. CCTA analysis was performed by an expert and an automated edge detection method and their estimations were compared to NIRS-IVUS at a segment-, lesion-, and frame-level. RESULTS: Segment-level analysis demonstrated a similar performance of the two CCTA analyses (conventional and automatic) with large biases and limits of agreement compared to NIRS-IVUS estimations for the total atheroma (ICC: 0.55 vs 0.25, mean difference:192 (-102-487) vs 243 (-132-617) and percent atheroma volume (ICC: 0.30 vs 0.12, mean difference: 12.8 (-5.91-31.6) vs 20.0 (0.79-39.2). Lesion-level analysis showed that the experts were able to detect more accurately lesions than the automated method (68.2 â€‹% and 60.7 â€‹%) however both analyses had poor reliability in assessing the minimal lumen area (ICC 0.44 vs 0.36) and the maximum plaque burden (ICC 0.33 vs 0.33) when NIRS-IVUS was used as the reference standard. CONCLUSIONS: Conventional and automated CCTA analyses had similar performance in assessing coronary artery pathology using NIRS-IVUS as a reference standard. Therefore, automated segmentation can be used to expedite CCTA analysis and enhance its applications in clinical practice.

Predictors of outcome in patients with moderate mixed aortic valve disease.

OBJECTIVES: Grading the severity of moderate mixed aortic stenosis and regurgitation (MAVD) is challenging and the disease poorly understood. Identifying markers of haemodynamic severity will improve risk stratification and potentially guide timely treatment. This study aims to identify prognostic haemodynamic markers in patients with moderate MAVD. METHODS: Moderate MAVD was defined as coexisting moderate aortic stenosis (aortic valve area (AVA) 1.0-1.5 cm2) and moderate aortic regurgitation (vena contracta (VC) 0.3-0.6 cm). Consecutive patients diagnosed between 2015 and 2019 were included from a multicentre registry. The primary composite outcome of death or heart failure hospitalisation was evaluated among these patients. Demographics, comorbidities, echocardiography and treatment data were assessed for their prognostic significance. RESULTS: 207 patients with moderate MAVD were included, aged 78 (66-84) years, 56% male sex, AVA 1.2 (1.1-1.4) cm2 and VC 0.4 (0.4-0.5) cm. Over a follow-up of 3.5 (2.5-4.7) years, the composite outcome was met in 89 patients (43%). Univariable associations with the primary outcome included older age, previous myocardial infarction, previous cerebrovascular event, atrial fibrillation, New York Heart Association >2, worse renal function, tricuspid regurgitation ≥2 and mitral regurgitation ≥2. Markers of biventricular systolic function, cardiac remodelling and transaortic valve haemodynamics demonstrated an inverse association with the primary composite outcome. In multivariable analysis, peak aortic jet velocity (Vmax) was independently and inversely associated with the composite outcome (HR: 0.63, 95% CI 0.43 to 0.93; p=0.021) in an adjusted model along with age (HR: 1.05, 95% CI 1.03 to 1.08; p<0.001), creatinine (HR: 1.002, 95% CI 1.001 to 1.003; p=0.005), previous cerebrovascular event (85% vs 42%; HR: 3.04, 95% CI 1.54 to 5.99; p=0.001) and left ventricular ejection fraction (LVEF) (HR: 0.97, 95% CI 0.95 to 0.99; p=0.007). Patients with Vmax ≤2.8 m/s and LVEF ≤50% (n=27) had the worst outcome compared with the rest of the population (72% vs 41%; HR: 3.87, 95% CI 2.20 to 6.80; p<0.001). CONCLUSIONS: Patients with truly moderate MAVD have a high incidence of death and heart failure hospitalisation (43% at 3.5 (2.5-4.7) years). Within this group, a high-risk group characterised by disproportionately low aortic Vmax (≤2.8 m/s) and adverse remodelling (LVEF ≤50%) have the worst outcomes.

Novel near-infrared spectroscopy-intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization.

Aims: Coronary computed tomography angiography (CCTA) is inferior to intravascular imaging in detecting plaque morphology and quantifying plaque burden. We aim to, for the first time, train a deep-learning (DL) methodology for accurate plaque quantification and characterization in CCTA using near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS). Methods and results: Seventy patients were prospectively recruited who underwent CCTA and NIRS-IVUS imaging. Corresponding cross sections were matched using an in-house developed software, and the estimations of NIRS-IVUS for the lumen, vessel wall borders, and plaque composition were used to train a convolutional neural network in 138 vessels. The performance was evaluated in 48 vessels and compared against the estimations of NIRS-IVUS and the conventional CCTA expert analysis. Sixty-four patients (186 vessels, 22 012 matched cross sections) were included. Deep-learning methodology provided estimations that were closer to NIRS-IVUS compared with the conventional approach for the total atheroma volume (ΔDL-NIRS-IVUS: -37.8 ± 89.0 vs. ΔConv-NIRS-IVUS: 243.3 ± 183.7 mm3, variance ratio: 4.262, P < 0.001) and percentage atheroma volume (-3.34 ± 5.77 vs. 17.20 ± 7.20%, variance ratio: 1.578, P < 0.001). The DL methodology detected lesions more accurately than the conventional approach (Area under the curve (AUC): 0.77 vs. 0.67, P < 0.001) and quantified minimum lumen area (ΔDL-NIRS-IVUS: -0.35 ± 1.81 vs. ΔConv-NIRS-IVUS: 1.37 ± 2.32 mm2, variance ratio: 1.634, P < 0.001), maximum plaque burden (4.33 ± 11.83% vs. 5.77 ± 16.58%, variance ratio: 2.071, P = 0.004), and calcific burden (-51.2 ± 115.1 vs. -54.3 ± 144.4, variance ratio: 2.308, P < 0.001) more accurately than conventional approach. The DL methodology was able to segment a vessel on CCTA in 0.3 s. Conclusions: The DL methodology developed for CCTA analysis from co-registered NIRS-IVUS and CCTA data enables rapid and accurate assessment of lesion morphology and is superior to expert analysts (Clinicaltrials.gov: NCT03556644).

Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics.

Spatial patterns of elevated wall shear stress and pressure due to blood flow past aortic stenosis (AS) are studied using GPU-accelerated patient-specific computational fluid dynamics. Three cases of moderate to severe AS, one with a dilated ascending aorta and two within the normal range (root diameter less than 4cm) are simulated for physiological waveforms obtained from echocardiography. The computational framework is built based on sharp-interface Immersed Boundary Method, where aortic geometries segmented from CT angiograms are integrated into a high-order incompressible Navier-Stokes solver. The key question addressed here is, given the presence of turbulence due to AS which increases wall shear stress (WSS) levels, why some AS patients undergo much less aortic dilation. Recent case studies of AS have linked the existence of an elevated WSS hotspot (due to impingement of AS on the aortic wall) to the dilation process. Herein we further investigate the WSS distribution for cases with and without dilation to understand the possible hemodynamics which may impact the dilation process. We show that the spatial distribution of elevated WSS is significantly more focused for the case with dilation than those without dilation. We further show that this focal area accommodates a persistent pocket of high pressure, which may have contributed to the dilation process through an increased wall-normal forcing. The cases without dilation, on the contrary, showed a rather oscillatory pressure behaviour, with no persistent pressure "buildup" effect. We further argue that a more proximal branching of the aortic arch could explain the lack of a focal area of elevated WSS and pressure, because it interferes with the impingement process due to fluid suction effects. These phenomena are further illustrated using an idealized aortic geometry. We finally show that a restored inflow eliminates the focal area of elevated WSS and pressure zone from the ascending aorta.

A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries.

With the global rise of cardiovascular disease including atherosclerosis, there is a high demand for accurate diagnostic tools that can be used during a short consultation. In view of pathology, abnormal blood flow patterns have been demonstrated to be strong predictors of atherosclerotic lesion incidence, location, progression, and rupture. Prediction of patient-specific blood flow patterns can hence enable fast clinical diagnosis. However, the current state of art for the technique is by employing 3D-imaging-based Computational Fluid Dynamics (CFD). The high computational cost renders these methods impractical. In this work, we present a novel method to expedite the reconstruction of 3D pressure and shear stress fields using a combination of a reduced-order CFD modelling technique together with non-linear regression tools from the Machine Learning (ML) paradigm. Specifically, we develop a proof-of-concept automated pipeline that uses randomised perturbations of an atherosclerotic pig coronary artery to produce a large dataset of unique mesh geometries with variable blood flow. A total of 1,407 geometries were generated from seven reference arteries and were used to simulate blood flow using the CFD solver Abaqus. This CFD dataset was then post-processed using the mesh-domain common-base Proper Orthogonal Decomposition (cPOD) method to obtain Eigen functions and principal coefficients, the latter of which is a product of the individual mesh flow solutions with the POD Eigenvectors. Being a data-reduction method, the POD enables the data to be represented using only the ten most significant modes, which captures cumulatively greater than 95% of variance of flow features due to mesh variations. Next, the node coordinate data of the meshes were embedded in a two-dimensional coordinate system using the t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm. The reduced dataset for t-SNE coordinates and corresponding vector of POD coefficients were then used to train a Random Forest Regressor (RFR) model. The same methodology was applied to both the volumetric pressure solution and the wall shear stress. The predicted pattern of blood pressure, and shear stress in unseen arterial geometries were compared with the ground truth CFD solutions on "unseen" meshes. The new method was able to reliably reproduce the 3D coronary artery haemodynamics in less than 10 s.

Computed Tomography Cardiac Angiography Before Invasive Coronary Angiography in Patients With Previous Bypass Surgery: The BYPASS-CTCA Trial.

BACKGROUND: Patients with previous coronary artery bypass grafting often require invasive coronary angiography (ICA). However, for these patients, the procedure is technically more challenging and has a higher risk of complications. Observational studies suggest that computed tomography cardiac angiography (CTCA) may facilitate ICA in this group, but this has not been tested in a randomized controlled trial. METHODS: This study was a single-center, open-label randomized controlled trial assessing the benefit of adjunctive CTCA in patients with previous coronary artery bypass grafting referred for ICA. Patients were randomized 1:1 to undergo CTCA before ICA or ICA alone. The co-primary end points were procedural duration of the ICA (defined as the interval between local anesthesia administration for obtaining vascular access and removal of the last catheter), patient satisfaction after ICA using a validated questionnaire, and the incidence of contrast-induced nephropathy. Linear regression was used for procedural duration and patient satisfaction score; contrast-induced nephropathy was analyzed using logistic regression. We applied the Bonferroni correction, with P<0.017 considered significant and 98.33% CIs presented. Secondary end points included incidence of procedural complications and 1-year major adverse cardiac events. RESULTS: Over 3 years, 688 patients were randomized with a median follow-up of 1.0 years. The mean age was 69.8±10.4 years, 108 (15.7%) were women, 402 (58.4%) were White, and there was a high burden of comorbidity (85.3% hypertension and 53.8% diabetes). The median time from coronary artery bypass grafting to angiography was 12.0 years, and there were a median of 3 (interquartile range, 2 to 3) grafts per participant. Procedure duration of the ICA was significantly shorter in the CTCA+ICA group (CTCA+ICA, 18.6±9.5 minutes versus ICA alone, 39.5±16.9 minutes [98.33% CI, -23.5 to -18.4]; P<0.001), alongside improved mean ICA satisfaction scores (1=very good to 5=very poor; -1.1 difference [98.33% CI, -1.2 to -0.9]; P<0.001), and reduced incidence of contrast-induced nephropathy (3.4% versus 27.9%; odds ratio, 0.09 [98.33% CI, 0.04-0.2]; P<0.001). Procedural complications (2.3% versus 10.8%; odds ratio, 0.2 [95% CI, 0.1-0.4]; P<0.001) and 1-year major adverse cardiac events (16.0% versus 29.4%; hazard ratio, 0.4 [95% CI, 0.3-0.6]; P<0.001) were also lower in the CTCA+ICA group. CONCLUSIONS: For patients with previous coronary artery bypass grafting, CTCA before ICA leads to reductions in procedure time and contrast-induced nephropathy, with improved patient satisfaction. CTCA before ICA should be considered in this group of patients. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT03736018.

A heart valve dedicated for aortic regurgitation: Review of technology and early clinical experience with the transfemoral Trilogy system.

Aortic regurgitation (AR) is associated with morbidity and premature mortality. Surgical aortic valve replacement is not an option for many patients due to an adverse surgical risk profile, whilst transcatheter aortic valve implantation with most available prostheses has demonstrated suboptimal implantation success and outcomes. The JenaValve Trilogy™ system provides an attractive solution for such patients as it utilizes clips that directly attach onto the native valve leaflets to anchor. Initially designed for transapical delivery, the current transfemoral delivery system is under investigation in the United States and approved for aortic stenosis and regurgitation in Europe. We present an expert review on the technical aspects of the Trilogy system, provide a guide for implantation, discuss the available evidence for the technology and provide illustrative case examples.

The safety of deferred coronary angiography in COVID-19 patients with acute coronary syndrome: the Barts COVID recovered pathway.

OBJECTIVE: To assess the safety and effectiveness of a novel pathway of deferrred invasive angiography in low-risk NSTEMI patients with concurrent COVID-19 infections; contrary to current UK guidelines recommending invasive coronary angiography in NSTEMI patients within 72 hours. METHODS: This was a single-centre, observational study of all NSTEMI patients referred for inpatient coronary angiography at Barts Heart Centre, between March 2020 and June 2022. Demographic, procedural and outcome data were collected as part of a national cardiac audit. RESULTS: 201 COVID positive NSTEMI patients were referred for angiography at Barts Heart Centre. 10 patients died from COVID related respiratory complications prior to angiography. Therefore, 191 patients underwent deferred angiography (median time 16 days from COVID diagnosis). The median GRACE score was 128 (IQR 86-153). Troponin levels were significantly elevated on initial COVID diagnosis compared to time of their procedure. 73% patients had a culprit lesion identified. 61.2% receiving PCI. Patients were followed-up for a median of 363 days (IQR 120-485 days) with MACE rates of 7.3%. This is comparable to the MACE event for NSTEMI patients (n=4529) without COVID at our institution treated during the same time-period (8.1%). CONCLUSION: This study demonstrates the safety and effectiveness of deferred coronary angiography on a COVID-Recovered pathway after a period of medical management for patients presenting with NSTEMI and concurrent COVID-19 infection. There was no adverse signal associated with the wait for angiography with similar MACE rates to the non-deferred NSTEMI cohort without COVID-19.

Thrombus Burden and Outcomes in Patients With COVID-19 Presenting With STEMI Across the Pandemic.

BACKGROUND: It has been previously reported during the first COVID-19 outbreak that patients presenting with ST-segment elevation myocardial infarction (STEMI) and concurrent COVID-19 infection have increased thrombus burden and poorer outcomes. To date, there have been no reports comparing the outcomes of COVID-19-positive STEMI patients across all waves of the pandemic. OBJECTIVES: This study compared the baseline demographic, procedural, and angiographic characteristics alongside the clinical outcomes of patients presenting with STEMI and concurrent COVID-19 infection across the COVID-19 pandemic in the United Kingdom. METHODS: This was a single-center, observational study of 1,269 consecutive patients admitted with confirmed STEMI treated with percutaneous coronary intervention (between January 3, 2020 and October 3, 2022). COVID-19-positive patients were split into 3 groups based upon the time course of the pandemic, and a comparison was made between waves. RESULTS: A total of 154 COVID-19-positive patients with STEMI were included in the present analysis and were compared with 1,115 COVID-19-negative patients. Early during the pandemic (wave 1), STEMI patients presenting with concurrent COVID-19 infection had high rates of cardiac arrest, evidence of increased thrombus burden, bigger infarcts, and worse outcomes. However, by wave 3, no differences existed in outcomes between COVID-19-positive and -negative patients, with significant differences compared with earlier COVID-19-positive patients. Poor outcomes later in the study period were predominantly in unvaccinated individuals. CONCLUSIONS: Significant changes have occurred in the clinical characteristics, angiographic features, and outcomes of STEMI patients with COVID-19 infection treated by primary percutaneous coronary intervention during the course of the pandemic. Importantly, outcomes of recent waves and in vaccinated individuals are no different to a non-COVID-19 population.

Influence of cusp morphology and sex on quantitative valve composition in severe aortic stenosis.

AIMS: Aortic stenosis is characterized by fibrosis and calcification of the valve, with a higher proportion of fibrosis observed in women. Stenotic bicuspid aortic valves progress more rapidly than tricuspid valves, which may also influence the relative composition of the valve. We aimed to investigate the influence of cusp morphology on quantitative aortic valve composition quantified from contrast-enhanced computed tomography angiography in severe aortic stenosis. METHODS AND RESULTS: Patients undergoing transcatheter aortic valve implantation with bicuspid and tricuspid valves were propensity matched 1:1 by age, sex, and comorbidities. Computed tomography angiograms were analysed using semi-automated software to quantify the fibrotic and calcific scores (volume/valve annular area) and the fibro-calcific ratio (fibrotic score/calcific score). The study population (n = 140) was elderly (76 ± 10 years, 62% male) and had a peak aortic jet velocity of 4.1 ± 0.7 m/s. Compared with those with tricuspid valves (n = 70), patients with bicuspid valves (n = 70) had higher fibrotic scores [204 (interquartile range 118-267) vs. 144 (99-208) mm3/cm2, P = 0.006] with similar calcific scores (P = 0.614). Women had greater fibrotic scores than men in bicuspid [224 (181-307) vs. 169 (109-247) mm3/cm2, P = 0.042] but not tricuspid valves (P = 0.232). Men had greater calcific scores than women in both bicuspid [203 (124-355) vs. 130 (70-182) mm3/cm2, P = 0.008] and tricuspid [177 (136-249) vs. 100 (62-150) mm3/cm2, P = 0.004] valves. Among both valve types, women had a greater fibro-calcific ratio compared with men [tricuspid 1.86 (0.94-2.56) vs. 0.86 (0.54-1.24), P = 0.001 and bicuspid 1.78 (1.21-2.90) vs. 0.74 (0.44-1.53), P = 0.001]. CONCLUSIONS: In severe aortic stenosis, bicuspid valves have proportionately more fibrosis than tricuspid valves, especially in women.

DCM Support: cell therapy and circulatory support for dilated cardiomyopathy patients with severe ventricular impairment.

AIMS: The DCM Support trial (NCT03572660) uses a percutaneous circulatory support device (Impella CP, Abiomed, Danvers, MA, USA) to improve the safety of an intracoronary cell infusion procedure in patients with dilated cardiomyopathy (DCM) and a severely reduced left ventricular ejection fraction (LVEF). METHODS AND RESULTS: DCM Support is a single-site, single-arm Phase II trial enrolling 20 symptomatic DCM patients with an LVEF ≤ 35% despite optimal medical and device therapy. After 5 days of granulocyte colony-stimulating factor therapy and a subsequent bone marrow aspiration, patients undergo an intracoronary infusion of autologous bone-marrow-derived mononuclear cells. The Impella CP device is used to provide haemodynamic support during the infusion procedure. The trial's primary endpoint is change in LVEF from baseline at 3 months. Secondary efficacy endpoints are change in LVEF from baseline at 12 months, and change in exercise capacity, New York Heart Association class, quality of life, and N-terminal pro-B-type natriuretic peptide levels from baseline at 3 and 12 months. Safety endpoints include procedural safety and major adverse cardiac events at 3 and 12 months. CONCLUSIONS: This is the first trial to assess the safety and efficacy of cytokine and autologous intracoronary cell therapy with a procedural circulatory support device for patients with severe left ventricular impairment. This novel combination may allow us to target a patient population most at need of this therapy.

An exploration of the early discharge approach for low-risk STEMI patients following primary percutaneous coronary intervention.

Recently, there has been growing interest in the early discharge strategy for low-risk patients who have undergone primary percutaneous coronary intervention (PCI) to treat ST-segment elevation myocardial infarction (STEMI). So far findings have suggested there are multiple advantages of shorter hospital stays, including that it could be a safe way to be more cost- and resource-efficient, reduce cases of hospital-acquired infection and boost patient satisfaction. However, there are remaining concerns surrounding safety, patient education, adequate follow-up and the generalisability of the findings from current studies which are mostly small-scale. By assessing the current research, we describe the advantages, disadvantages and challenges of early hospital discharge for STEMI and discuss the factors that determine if a patient can be considered low risk. If it is feasible to safely employ a strategy like this, the implications for healthcare systems worldwide could be extremely beneficial, particularly in lower-income economies and when we consider the detrimental impacts of the recent COVID-19 pandemic on healthcare systems.

Comparing Outcomes Between Surgical and Transcatheter Aortic Valve Replacement in Classical Low-Flow Low-Gradient Aortic Stenosis.

Patients with classic low-flow low-gradient (cLFLG) aortic stenosis (AS) have a poor prognosis but still benefit from aortic valve replacement. There is a paucity of evidence to guide the choice between transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR). This study compared procedural and midterm outcomes in patients with cLFLG AS between TAVR and SAVR. Patients with cLFLG AS, defined as an aortic valve area ≤1 cm2, mean gradient <40 mm Hg, and left ventricular ejection fraction <50%, were selected from a single center between 2015 and 2020. Inverse probability weighting and regression were used to adjust for differences in baseline characteristics, the nonrandom assignment of treatment modalities, and procedural differences. The primary end point was all-cause mortality. A total of 322 patients (220 TAVR and 102 SAVR) were included. At a follow-up of 4.4 ± 1.5 years, the adjusted hazard ratio (HR) for mortality after inverse probability weighting with SAVR was 0.66, 95% confidence interval (CI) 0.31 to 1.35; p = 0.24. Worse renal function at baseline (per 10 ml/min/m2 increase HR 0.92, 95% CI 0.84 to 1.00, p = 0.04) and multiple valve interventions (HR 5.39, 95% CI 2.62 to 11.12, p <0.001) independently predicted mortality. There was no difference in stroke and permanent pacemaker implantation, but the rates of renal replacement therapy were higher among the SAVR cohort: 13.7% versus 0%; p <0.001. In conclusion, among patients with cLFLG AS, there was no difference in midterm mortality between TAVR and SAVR, supporting the use of either treatment. However, in patients with poor renal function or at risk of renal failure, TAVR may be the preferred option.

Implications of computed tomography reconstruction algorithms on coronary atheroma quantification: Comparison with intravascular ultrasound.

BACKGROUND: Advances in coronary computed tomography angiography (CCTA) reconstruction algorithms are expected to enhance the accuracy of CCTA plaque quantification. We aim to evaluate different CCTA reconstruction approaches in assessing vessel characteristics in coronary atheroma using intravascular ultrasound (IVUS) as the reference standard. METHODS: Matched cross-sections (n â€‹= â€‹7241) from 50 vessels in 15 participants with chronic coronary syndrome who prospectively underwent CCTA and 3-vessel near-infrared spectroscopy-IVUS were included. Twelve CCTA datasets per patient were reconstructed using two different kernels, two slice thicknesses (0.75 â€‹mm and 0.50 â€‹mm) and three different strengths of advanced model-based iterative reconstruction (IR) algorithms. Lumen and vessel wall borders were manually annotated in every IVUS and CCTA cross-section which were co-registered using dedicated software. Image quality was sub-optimal in the reconstructions with a sharper kernel, so these were excluded. Intraclass correlation coefficient (ICC) and repeatability coefficient (RC) were used to compare the estimations of the 6 CT reconstruction approaches with those derived by IVUS. RESULTS: Segment-level analysis showed good agreement between CCTA and IVUS for assessing atheroma volume with approach 0.50/5 (slice thickness 0.50 â€‹mm and highest strength 5 ADMIRE IR) being the best (total atheroma volume ICC: 0.91, RC: 0.67, p â€‹< â€‹0.001 and percentage atheroma volume ICC: 0.64, RC: 14.06, p â€‹< â€‹0.001). At lesion-level, there was no difference between the CCTA reconstructions for detecting plaques (accuracy range: 0.64-0.67; p â€‹= â€‹0.23); however, approach 0.50/5 was superior in assessing IVUS-derived lesion characteristics associated with plaque vulnerability (minimum lumen area ICC: 0.64, RC: 1.31, p â€‹< â€‹0.001 and plaque burden ICC: 0.45, RC: 32.0, p â€‹< â€‹0.001). CONCLUSION: CCTA reconstruction with thinner slice thickness, smooth kernel and highest strength advanced IR enabled more accurate quantification of the lumen and plaque at a segment-, and lesion-level analysis in coronary atheroma when validated against intravascular ultrasound. CLINICALTRIALS: gov (NCT03556644).

Rapid Assessment and Treatment In Decompensated Aortic Stenosis (ASTRID-AS study)- A pilot study.

BACKGROUND: Acute decompensated aortic stenosis (ADAS) is common and associated with higher mortality, acute kidney injury (AKI) and longer hospital length of stay (LoS) compared with electively treated stable AS. The aim of this study was to assess the impact of a dedicated pathway that reduces time to transcatheter aortic valve implantation (TAVI) in ADAS, hypothesizing that LoS can be reduced without compromising patient safety. METHODS AND RESULTS: Using a prospective, open label, cluster design, patients from 5 referring centres were allocated to the ASessment and TReatment In Decompensated Aortic Stenosis (ASTRID-AS) pathway where the diagnosis, referral, investigations and treatment of ADAS were prioritised and expedited. 15 hospitals remained on the conventional pathway that followed the same process, albeit according to a waiting list. The primary efficacy endpoint was hospital LoS and the secondary safety endpoint, a composite of death or AKI at 30 days post-TAVI. 58 conventional patients and 25 ASTRID-AS patients were included in this study. Time to TAVI in the conventional vs. ASTRID-AS cohort was 22 (15-30) vs. 10 (6-12) days; P < 0.001, respectively. Length of hospital stay was 24 (18-33) vs. 13 (8-18) days; P < 0.001, respectively. 13.4 bed days were saved per patient using the ASTRID-AS pathway. Secondary safety endpoint occurred in 12 (20.7%) vs. 1 (4.0%) patients; P = 0.093, respectively. Procedural complications were similar between the two cohorts. CONCLUSION: A dedicated pathway for ADAS that shortens time to TAVI demonstrated reduced hospital LoS without compromising patient safety and a trend towards improving clinical outcomes.

Intravascular imaging assessment of pharmacotherapies targeting atherosclerosis: advantages and limitations in predicting their prognostic implications.

Intravascular imaging has been often used over the recent years to examine the efficacy of emerging therapies targeting plaque evolution. Serial intravascular ultrasound, optical coherence tomography, or near-infrared spectroscopy-intravascular ultrasound studies have allowed us to evaluate the effects of different therapies on plaque burden and morphology, providing unique mechanistic insights about the mode of action of these treatments. Plaque burden reduction, a decrease in necrotic core component or macrophage accumulation-which has been associated with inflammation-and an increase in fibrous cap thickness over fibroatheromas have been used as surrogate endpoints to assess the value of several drugs in inhibiting plaque evolution and improving clinical outcomes. However, some reports have demonstrated weak associations between the effects of novel treatments on coronary atheroma and composition and their prognostic implications. This review examines the value of invasive imaging in assessing pharmacotherapies targeting atherosclerosis. It summarizes the findings of serial intravascular imaging studies assessing the effects of different drugs on atheroma burden and morphology and compares them with the results of large-scale trials evaluating their impact on clinical outcome. Furthermore, it highlights the limited efficacy of established intravascular imaging surrogate endpoints in predicting the prognostic value of these pharmacotherapies and introduces alternative imaging endpoints based on multimodality/hybrid intravascular imaging that may enable more accurate assessment of the athero-protective and prognostic effects of emerging therapies.

An observational study assessing the use of Sirolimus-eluting balloons for side-branch treatment in the provisional stenting of coronary bifurcations.

Background: Drug eluting balloons (DEB) are a feasible method of rapid delivery of drug to a coronary vessel wall. Their efficacy has been established for the treatment of in-stent restenosis and small vessel disease but there is limited data for their use in bifurcation lesions. Objective: The aim of this study was to assess the effectiveness of provisional upfront side-branch DEB use in bifurcation lesions compared to a simple balloon (POBA) or upfront 2 stent bifurcation strategy. Methods: We conducted an observational study of 625 patients undergoing PCI to bifurcation lesions. All the patients had a DES deployed in the main vessel (MV). Decision on revascularization option for the side branch (SB) was made by the operator. The primary endpoint was target vessel failure. Secondary endpoints were target vessel myocardial infarction and all-cause mortality. Results: 311 patients had upfront DEB to the SB whilst the remaining were treated with either DES (188) or POBA (126). Baseline characteristics were similar aside from history of previous MI, which were higher in patients treated with DES or POBA, p = 0.009 whereas patients with previous CABG were likely to undergo DEB treatment (p = 0.004). TVF was more likely to occur in the POBA group (7.5 %) compared to the DEB (3.3 %) and DES (3.3 %) groups (p = 0.0019). There was no significant difference in TV-MI (p = 0.62) or death (p = 0.98) between the groups. Conclusion: This study suggests that provisional bifurcation stenting with upfront Sirolimus DEB use in the SB is an effective treatment for non-LMS bifurcation PCI.