Self-Expanding or Balloon-Expandable TAVR in Patients with a Small Aortic Annulus.

BACKGROUND: Patients with severe aortic stenosis and a small aortic annulus are at risk for impaired valvular hemodynamic performance and associated adverse cardiovascular clinical outcomes after transcatheter aortic-valve replacement (TAVR). METHODS: We randomly assigned patients with symptomatic severe aortic stenosis and an aortic-valve annulus area of 430 mm2 or less in a 1:1 ratio to undergo TAVR with either a self-expanding supraannular valve or a balloon-expandable valve. The coprimary end points, each assessed through 12 months, were a composite of death, disabling stroke, or rehospitalization for heart failure (tested for noninferiority) and a composite end point measuring bioprosthetic-valve dysfunction (tested for superiority). RESULTS: A total of 716 patients were treated at 83 sites in 13 countries (mean age, 80 years; 87% women; mean Society of Thoracic Surgeons Predicted Risk of Mortality, 3.3%). The Kaplan-Meier estimate of the percentage of patients who died, had a disabling stroke, or were rehospitalized for heart failure through 12 months was 9.4% with the self-expanding valve and 10.6% with the balloon-expandable valve (difference, -1.2 percentage points; 90% confidence interval [CI], -4.9 to 2.5; P<0.001 for noninferiority). The Kaplan-Meier estimate of the percentage of patients with bioprosthetic-valve dysfunction through 12 months was 9.4% with the self-expanding valve and 41.6% with the balloon-expandable valve (difference, -32.2 percentage points; 95% CI, -38.7 to -25.6; P<0.001 for superiority). The aortic-valve mean gradient at 12 months was 7.7 mm Hg with the self-expanding valve and 15.7 mm Hg with the balloon-expandable valve, and the corresponding values for additional secondary end points through 12 months were as follows: mean effective orifice area, 1.99 cm2 and 1.50 cm2; percentage of patients with hemodynamic structural valve dysfunction, 3.5% and 32.8%; and percentage of women with bioprosthetic-valve dysfunction, 10.2% and 43.3% (all P<0.001). Moderate or severe prosthesis-patient mismatch at 30 days was found in 11.2% of the patients in the self-expanding valve group and 35.3% of those in the balloon-expandable valve group (P<0.001). Major safety end points appeared to be similar in the two groups. CONCLUSIONS: Among patients with severe aortic stenosis and a small aortic annulus who underwent TAVR, a self-expanding supraannular valve was noninferior to a balloon-expandable valve with respect to clinical outcomes and was superior with respect to bioprosthetic-valve dysfunction through 12 months. (Funded by Medtronic; SMART ClinicalTrials.gov number, NCT04722250.).

Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting.

Estimated age from brain MRI data has emerged as a promising biomarker of neurological health. However, the absence of large, diverse, and clinically representative training datasets, along with the complexity of managing heterogeneous MRI data, presents significant barriers to the development of accurate and generalisable models appropriate for clinical use. Here, we present a deep learning framework trained on routine clinical data (N up to 18,890, age range 18-96 years). We trained five separate models for accurate brain age prediction (all with mean absolute error ≤4.0 years, R2 ≥ .86) across five different MRI sequences (T2 -weighted, T2 -FLAIR, T1 -weighted, diffusion-weighted, and gradient-recalled echo T2 *-weighted). Our trained models offer dual functionality. First, they have the potential to be directly employed on clinical data. Second, they can be used as foundation models for further refinement to accommodate a range of other MRI sequences (and therefore a range of clinical scenarios which employ such sequences). This adaptation process, enabled by transfer learning, proved effective in our study across a range of MRI sequences and scan orientations, including those which differed considerably from the original training datasets. Crucially, our findings suggest that this approach remains viable even with limited data availability (as low as N = 25 for fine-tuning), thus broadening the application of brain age estimation to more diverse clinical contexts and patient populations. By making these models publicly available, we aim to provide the scientific community with a versatile toolkit, promoting further research in brain age prediction and related areas.

Effects of complete revascularization according to age in patients with ST-segment elevation myocardial infarction and multivessel disease (COMPLETE-AGE).

BACKGROUND: In ST-segment elevation myocardial infarction (STEMI), complete revascularization with percutaneous coronary intervention (PCI) reduces major cardiovascular events compared with culprit-lesion-only PCI. Whether age influences these results remains unknown. METHODS: COMPLETE was a multinational, randomized trial evaluating a strategy of staged complete revascularization, consisting of angiography-guided PCI of all suitable nonculprit lesions, versus a strategy of culprit-lesion-only PCI. In this prespecified subgroup analysis, treatment effect according to age (≥65 years vs <65 years) was determined for the first coprimary outcome of cardiovascular (CV) death or new myocardial infarction (MI) and the second coprimary outcome of CV death, new MI, or ischemia-driven revascularization (IDR). Median follow-up was 35.8 months (interquartile range [IQR]: 27.6-44.3 months). RESULTS: Of 4,041 patients randomized in COMPLETE, 1,613 were aged ≥ 65 years (39.9%). Higher event rates were observed for both coprimary outcomes in patients aged ≥ 65 years comparted with those aged < 65 years (11.2% vs 7.9%, HR 1.49, 95% CI 1.22-1.83; 14.4% vs 11.8%, HR 1.28, 95% CI 1.07-1.52, respectively). Complete revascularization reduced the first coprimary outcome in patients ≥ 65 years (9.7% vs 12.5%, HR 0.77; 95% CI, 0.58-1.04) and < 65 years (6.7% vs 9.1%, HR 0.72; 95% CI, 0.54-0.96)(interaction P = .74). The second coprimary outcome was reduced in those ≥ 65 years (HR 0.56, 95% CI, 0.43-0.74) and < 65 years (HR 0.48, 95% CI, 0.37-0.61 (interaction P = .37). A sensitivity analysis was performed with consistent results demonstrated using a 75-year threshold (albeit attenuated). CONCLUSIONS: In patients with STEMI and multivessel CAD, complete revascularization compared with culprit-lesion-only PCI reduced major cardiovascular events regardless of patient age and could be considered as a revascularization strategy in older adults.

Trend-attribute forecasting of hourly PM2.5 trends in fifteen cities of Central England applying optimized machine learning feature selection.

Recorded particulate matter (PM2.5) hourly trends are compared for fifteen urban recording sites distributed across central England for the period 2018 to 2022. They include 10 urban-background and five urban-traffic (roadside) sites with some located within the same urban area. The sites all show consistent background and peak distributions with mean annual values and standard deviations higher for 2018 and 2019 than for 2020 to 2022. The objective of this study is to demonstrate that trend attributes extracted from hourly recorded univariate PM2.5 trends at these sites can be used to provide reliable short-term hourly predictions and provide valuable insight into the regional variations in the recorded trends. Fifteen trend attributes extracted from the prior 12 h (t-1 to t-12) of recorded PM2.5 data were compiled and used as input to four supervised machine learning models (SML) to forecast PM2.5 concentrations up to 13 h ahead (t0 to t+12). All recording sites delivered forecasts with similar ranges of error levels for specific hours ahead which are consistent with their PM2.5 recorded ranges. Forecasting results for four representative sites are presented in detail using models trained and cross-validated with 2020 and 2021 hourly data to forecast 2021 and 2022 hourly data, respectively. A novel optimized feature selection procedure using a suite of five optimizers is used to improve the efficiency of the forecasting models. The LASSO and support vector regression models generate the best and most generalizable hourly PM2.5 forecasts from trained and validated SML models with mean average error (MAE) of between ∼1 and ∼3 µg/m3 for t0 to t+3 h ahead. A novel overfitting indicator, exploiting the cross-validation mean values, demonstrates that these two models are not affected by overfitting. Forecasts for t+6 to t+12 h forward generate higher MAE values between ∼3 and ∼4 µg/m3 due to their tendency to underestimate some of the extreme PM2.5 peaks. These findings indicate that further model refinements are required to generate more reliable short-term predictions for the t+6 to t+24 h ahead.

Is the outcome of elective vs non-elective patients undergoing transcatheter aortic valve implantation different? Results of a single-centre, observational assessment of outcomes at a large university clinic.

BACKGROUND: Transcatheter aortic valve implantation (TAVI) can either be conducted as an elective (scheduled in advance) or a non-elective procedure performed during an unplanned hospital admission. The objective of this study was to compare the outcomes of elective and non-elective TAVI patients. METHODS: This single-centre study included 512 patients undergoing transfemoral TAVI between October 2018 and December 2020; 378 (73.8%) were admitted for elective TAVI, 134 (26.2%) underwent a non-elective procedure. Our TAVI programme entails an optimized fast-track concept aimed at minimizing the total length of stay to ≤ 5 days for elective patients which in the German healthcare system is currently defined as the minimal time period to safely perform TAVI. Clinical characteristics and survival rates at 30 days and 1 year were analysed. RESULTS: Patients who underwent non-elective TAVI had a significantly higher comorbidity burden. Median duration from admission to discharge was 6 days (elective group 6 days versus non-elective group 15 days; p < 0.001), including a median postprocedural stay of 5 days (elective 4 days versus non-elective 7 days; p < 0.001). All-cause mortality at 30 days was 1.1% for the elective group and 3.7% for non-elective patients (p = 0.030). At 1 year, all-cause mortality among elective TAVI patients was disproportionately lower than in non-elective patients (5.0% versus 18.7%, p < 0.001). In the elective group, 54.5% of patients could not be discharged early due to comorbidities or procedural complications. Factors associated with a failure of achieving a total length of stay of ≤ 5 days comprised frailty syndrome, renal impairment as well as new permanent pacemaker implantation, new bundle branch block or atrial fibrillation, life-threatening bleeding, and the use of self-expanding valves. After multivariate adjustment, new permanent pacemaker implantation (odds ratio 6.44; 95% CI 2.59-16.00), life-threatening bleeding (odds ratio 4.19; 95% confidence interval 1.82-9.66) and frailty syndrome (odds ratio 5.15; 95% confidence interval 2.40-11.09; all p < 0.001, respectively) were confirmed as significant factors. CONCLUSIONS: While non-elective patients had acceptable periprocedural outcomes, mortality rates at 1 year were significantly higher compared to elective patients. Approximately only half of elective patients could be discharged early. Improvements in periprocedural care, follow-up strategies and optimized treatment of both elective and non-elective TAVI patients are needed.

TAVR in TAVR: Where Are We in 2023 for Management of Failed TAVR Valves?

PURPOSE OF REVIEW: As TAVR is increasingly performed on younger patients with a longer life expectancy, the number of redo-TAVR procedures is likely to increase in the coming years. Limited data is currently available on this sometimes challenging procedure. We provide a summary of currently published literature on management of patients with a failed transcatheter aortic valve. RECENT FINDINGS: Recent registry data have increased the clinical knowledge on redo-TAVR. Additionally, numerous bench studies have provided valuable insights into the technical aspects of redo-TAVR with various combinations of valve types. Redo-TAVR can be performed safely in selected cases with a high procedural success and good short-term outcomes. However, at present, the procedure remains relatively infrequent and many patients are not eligible. Bench testing can be useful to understand important concepts such as valve expansion, neoskirt, leaflet overhang, and leaflet deflection as well as their potential clinical implications.

Update on Transcatheter Treatment of Mitral and Tricuspid Valve Regurgitation.

PURPOSE OF REVIEW: Mitral and tricuspid regurgitation represents a clinical challenge. They are associated with a poor prognosis, and many patients are not eligible for conventional surgery. Transcatheter therapies have been the focus of numerous studies and devices over the past decade. Here, we provide a summary of current options for transcatheter treatment of these 2 entities. RECENT FINDINGS: Recent studies have demonstrated the benefits of edge-to-edge repair for increasing numbers of patients. Encouraging early results with transcatheter valve replacement are also becoming available. To date, transcatheter edge-to-edge repair is currently the first-line transcatheter treatment for both mitral and tricuspid regurgitation for many patients who are not candidates for surgery. A number of transcatheter replacement devices are under development and clinical investigation but, for the most part, their current use is limited to compassionate cases or clinical trials.

Trace element contamination in soils surrounding the open-cast coal mines of eastern Raniganj basin, India.

Trace element pollution of soils surrounding coal-mining areas affects the health of local communities. The increasing coal-mining and associated activities in the Raniganj basin (east India) have led to increased soil concentration of certain trace elements. To quantify the elevated trace element (TE) concentrations in the soil surrounding coal-mining areas, 83 surface soil, coal, and shale samples were collected from open-cast mining areas of the eastern Raniganj basin. The soils present are sandy silt, silty sand, and silty in nature, but almost no clay. They are acidic (pH = 4.3) to slightly alkaline (pH = 7.9) with a mean electrical conductivity (EC) of 340.45 µS/cm and a mean total organic carbon (TOC) of 1.80%. The northern and western parts of the study area were found to be highly polluted by certain metallic trace elements. The relevant environmental indices, geoaccumulation index (Igeo), contamination factors (CF), enrichment factors (EF), and pollution load index (PLI) were calculated and assessed. Analysis revealed that Cr was highly enriched in these soil samples, followed by Pb, Co, Cu, Cd, Fe, Ni, Mn, Zn, As, and Al. Geostatistical analyses (correlation coefficients and principal component analysis) indicated that the occurrence of some trace elements (Al, Cd, Co, Cu, Fe, Mn, Ni, and Zn) is most likely linked to the various coal-mining operations in the study area. However, the anomalous Cr and Pb distributions are likely influenced by other anthropogenic, mainly industrial, inputs besides coal mining. These results justify the adoption of rigorous soil monitoring programs in the vicinity of coal-mining areas, to identify pollution hotspots and to develop strategies to reduce or mitigate such environmentally damaging pollution.

Accurate brain-age models for routine clinical MRI examinations.

Convolutional neural networks (CNN) can accurately predict chronological age in healthy individuals from structural MRI brain scans. Potentially, these models could be applied during routine clinical examinations to detect deviations from healthy ageing, including early-stage neurodegeneration. This could have important implications for patient care, drug development, and optimising MRI data collection. However, existing brain-age models are typically optimised for scans which are not part of routine examinations (e.g., volumetric T1-weighted scans), generalise poorly (e.g., to data from different scanner vendors and hospitals etc.), or rely on computationally expensive pre-processing steps which limit real-time clinical utility. Here, we sought to develop a brain-age framework suitable for use during routine clinical head MRI examinations. Using a deep learning-based neuroradiology report classifier, we generated a dataset of 23,302 'radiologically normal for age' head MRI examinations from two large UK hospitals for model training and testing (age range = 18-95 years), and demonstrate fast (< 5 s), accurate (mean absolute error [MAE] < 4 years) age prediction from clinical-grade, minimally processed axial T2-weighted and axial diffusion-weighted scans, with generalisability between hospitals and scanner vendors (Δ MAE < 1 year). The clinical relevance of these brain-age predictions was tested using 228 patients whose MRIs were reported independently by neuroradiologists as showing atrophy 'excessive for age'. These patients had systematically higher brain-predicted age than chronological age (mean predicted age difference = +5.89 years, 'radiologically normal for age' mean predicted age difference = +0.05 years, p < 0.0001). Our brain-age framework demonstrates feasibility for use as a screening tool during routine hospital examinations to automatically detect older-appearing brains in real-time, with relevance for clinical decision-making and optimising patient pathways.

Complete Revascularization with Multivessel PCI for Myocardial Infarction.

BACKGROUND: In patients with ST-segment elevation myocardial infarction (STEMI), percutaneous coronary intervention (PCI) of the culprit lesion reduces the risk of cardiovascular death or myocardial infarction. Whether PCI of nonculprit lesions further reduces the risk of such events is unclear. METHODS: We randomly assigned patients with STEMI and multivessel coronary artery disease who had undergone successful culprit-lesion PCI to a strategy of either complete revascularization with PCI of angiographically significant nonculprit lesions or no further revascularization. Randomization was stratified according to the intended timing of nonculprit-lesion PCI (either during or after the index hospitalization). The first coprimary outcome was the composite of cardiovascular death or myocardial infarction; the second coprimary outcome was the composite of cardiovascular death, myocardial infarction, or ischemia-driven revascularization. RESULTS: At a median follow-up of 3 years, the first coprimary outcome had occurred in 158 of the 2016 patients (7.8%) in the complete-revascularization group as compared with 213 of the 2025 patients (10.5%) in the culprit-lesion-only PCI group (hazard ratio, 0.74; 95% confidence interval [CI], 0.60 to 0.91; P = 0.004). The second coprimary outcome had occurred in 179 patients (8.9%) in the complete-revascularization group as compared with 339 patients (16.7%) in the culprit-lesion-only PCI group (hazard ratio, 0.51; 95% CI, 0.43 to 0.61; P<0.001). For both coprimary outcomes, the benefit of complete revascularization was consistently observed regardless of the intended timing of nonculprit-lesion PCI (P = 0.62 and P = 0.27 for interaction for the first and second coprimary outcomes, respectively). CONCLUSIONS: Among patients with STEMI and multivessel coronary artery disease, complete revascularization was superior to culprit-lesion-only PCI in reducing the risk of cardiovascular death or myocardial infarction, as well as the risk of cardiovascular death, myocardial infarction, or ischemia-driven revascularization. (Funded by the Canadian Institutes of Health Research and others; COMPLETE ClinicalTrials.gov number, NCT01740479.).

Complete revascularization in stable multivessel coronary artery disease: A real world analysis from the British Columbia Cardiac Registry.

BACKGROUND: More than half of patients undergoing percutaneous coronary intervention (PCI) have multivessel disease (MVD). The prognostic significance of PCI in stable patients has recently been debated, but little data exists about the potential benefit of complete revascularization (CR) in stable MVD. We investigated the prognostic benefit of CR in patients undergoing PCI for stable disease. METHODS: We compared CR versus incomplete revascularization (IR) in 8,436 patients with MVD. The primary outcome was all-cause mortality at 5 years. RESULTS: A total of 1,399 patients (17%) underwent CR during the index PCI procedure for stable disease. CR was associated with lower mortality (6.2 vs. 10.7%, p < .001) and lower repeat revascularization at 5 years (12.7 vs. 18.4%, p < .001). Multivariable-adjusted analyses indicated that CR was associated with lower mortality (HR = 0.73, 95% CI: 0.58-0.91, p = .005) and repeat revascularization at 5 years (HR = 0.78, 95% CI: 0.66-0.93, p = .005). These findings were also confirmed in propensity-matched cohorts. Subgroup analyses indicated that CR conferred survival in older patients, male patients, absence of renal disease, greater angina (CCS Class III-IV) and heart failure (NYHA Class III-IV) symptoms, and greater burden of coronary disease. In sensitivity analyses where patients with subsequent repeat revascularization events were excluded, CR remained a strong predictor for lower mortality (HR = 0.69, 95% CI: 0.54-0.89, p = .004). CONCLUSIONS: In this study of stable patients with MVD, CR was an independent predictor of long-term survival. This benefit was specifically seen in higher risk patient groups and indicates that CR may benefit selected stable patients with MVD.

Outcomes and feasibility of redo-TAVR after Sapien 3 Ultra TAVR in extremely-undersized versus nominally-sized annuli.

OBJECTIVES: To compare outcomes in Sapien 3 Ultra (S3U) transcatheter aortic valve replacement (TAVR) with extreme annular undersizing (EAU) versus nominal annular sizing (NAS). BACKGROUND: The Edwards S3U valve has reduced paravalvular leak (PVL) in TAVR but outcomes remain unknown in extremely undersized anatomy. Implanting a smaller S3U valve may facilitate future redo-TAVR but risk compromising hemodynamics. METHODS: From December 2019 to July 2021, 366 patients with native aortic stenosis underwent S3U TAVR. Patients with EAU (annular areas >430 mm2 for 23 mm or >546 mm2 for 26 mm) were compared to NAS (338-430 mm2 for 23 mm or 430-546 mm2 for 26 mm). In-hospital and 30-day outcomes, and redo-TAVR feasibility were determined. RESULTS: There were 79 (21.6%) EAU patients, with more bicuspid (p = 0.0014) and ≥moderate annular/left ventricular outflow tract calcification (p < 0.001). The EAU group had less annular oversizing than NAS group (23 mm: -8.2 ± 2.6% vs. 4.0 ± 7.0%, p < 0.001; 26 mm: -8.9 ± 2.2% vs. 6.7 ± 6.9%, p < 0.001), more balloon overfilling (71.3% vs. 11.6%, p < 0.001), and postdilatation (15.0% vs. 5.8%, p = 0.016). No differences were found in in-hospital or 30-day mortality and stroke (p > 0.05). Mild PVL (13.4% EAU vs. 11.5% NAS, p = 0.56) and mean gradients (23 mm: 13.0 ± 4.5 vs. 14.1 ± 5.4 mmHg, p = 0.40; 26 mm: 11.4 ± 4.1 vs. 11.5 ± 3.9 mmHg, p = 1.0) were similar at 30 days. Had the EAU group undergone NAS with the larger Sapien 3/S3U, by computed tomography analysis simulating 80:20 or 90:10 target implant depth, 33.3%-60.9% (vs. 4.3%-23.2%) would not be feasible for redo-TAVR due to high risk of coronary obstruction. CONCLUSIONS: In this first report of EAU with S3U TAVR, similar excellent short-term outcomes can be achieved compared to NAS, and may preserve future redo-TAVR option.

Deep learning to automate the labelling of head MRI datasets for computer vision applications.

OBJECTIVES: The purpose of this study was to build a deep learning model to derive labels from neuroradiology reports and assign these to the corresponding examinations, overcoming a bottleneck to computer vision model development. METHODS: Reference-standard labels were generated by a team of neuroradiologists for model training and evaluation. Three thousand examinations were labelled for the presence or absence of any abnormality by manually scrutinising the corresponding radiology reports ('reference-standard report labels'); a subset of these examinations (n = 250) were assigned 'reference-standard image labels' by interrogating the actual images. Separately, 2000 reports were labelled for the presence or absence of 7 specialised categories of abnormality (acute stroke, mass, atrophy, vascular abnormality, small vessel disease, white matter inflammation, encephalomalacia), with a subset of these examinations (n = 700) also assigned reference-standard image labels. A deep learning model was trained using labelled reports and validated in two ways: comparing predicted labels to (i) reference-standard report labels and (ii) reference-standard image labels. The area under the receiver operating characteristic curve (AUC-ROC) was used to quantify model performance. Accuracy, sensitivity, specificity, and F1 score were also calculated. RESULTS: Accurate classification (AUC-ROC > 0.95) was achieved for all categories when tested against reference-standard report labels. A drop in performance (ΔAUC-ROC > 0.02) was seen for three categories (atrophy, encephalomalacia, vascular) when tested against reference-standard image labels, highlighting discrepancies in the original reports. Once trained, the model assigned labels to 121,556 examinations in under 30 min. CONCLUSIONS: Our model accurately classifies head MRI examinations, enabling automated dataset labelling for downstream computer vision applications. KEY POINTS: • Deep learning is poised to revolutionise image recognition tasks in radiology; however, a barrier to clinical adoption is the difficulty of obtaining large labelled datasets for model training. • We demonstrate a deep learning model which can derive labels from neuroradiology reports and assign these to the corresponding examinations at scale, facilitating the development of downstream computer vision models. • We rigorously tested our model by comparing labels predicted on the basis of neuroradiology reports with two sets of reference-standard labels: (1) labels derived by manually scrutinising each radiology report and (2) labels derived by interrogating the actual images.

The Impact of Pre-Procedural Renal Impairment on Outcomes Following Percutaneous Coronary Intervention: An Analysis of 45,287 Patients From the British Columbia Cardiac Registry.

BACKGROUND: Renal disease confers a strong independent risk for morbidity and mortality after percutaneous coronary intervention (PCI). We evaluated the relationship between baseline pre-procedural renal function and outcomes following PCI. METHODS: We examined 45,287 patients who underwent PCI in British Columbia. We evaluated all-cause mortality and target vessel revascularisation (TVR) at 2 years. Pre-procedural renal impairment was categorised by creatinine clearance (CrCl, mL/min): CrCl≥90 (n=14,876), 90>CrCl≥60 (n=10,219), 60>CrCl≥30 (n=14,876), 30>CrCl≥0 (n=2,594) and dialysis (n=579). RESULTS: Declining CrCl values less than 60 mL/min were progressively associated with greater mortality: 60>eGFR≥30 (HR=2.01, 95% CI 1.71-2.37, p<0.001); 30>eGFR≥0 (HR=4.10, 95% CI 3.39-4.95, p<0.001); and dialysis (HR=6.22, 95% CI 5.07-7.63, p<0.001). A reduction in eGFR was not associated with TVR in non-dialysis patients. However, dialysis was a strong independent predictor for TVR (HR=1.69, 95% CI 1.37-2.08, p<0.001). This was confirmed in propensity-matched analyses where, dialysis was strongly associated with TVR (HR=1.53, 95% CI 1.24-1.89, p<0.001). This association was consistently seen in stratified analyses for diabetic versus non-diabetic patients; stent length >30 mm versus <30 mm; stent diameter >3 mm versus <3 mm; and receipt of bare metal stents versus drug-eluting stents. CONCLUSIONS: This study indicates the association with declining renal function and mortality in patients undergoing PCI. Whilst renal disease was not associated with increased TVR in non-dialysis patients, dialysis-dependence was a strong independent predictor for increased TVR.

Ten year follow-up of high-risk patients treated during the early experience with transcatheter aortic valve replacement.

BACKGROUND: The long-term clinical performance of transcatheter heart valves (THV) is unknown. AIMS: This study assessed the clinical outcomes, rate of structural valve deterioration (SVD) and bioprosthetic valve failure in patients after transcatheter aortic valve replacement (TAVR) to 10-year follow-up. METHODS: Consecutive patients undergoing TAVI for native aortic valve stenosis or failed aortic surgical bioprosthesis, between 2005 and 2009 at our institution were included. A total of 235 consecutive patients. RESULTS: At the time of TAVI mean age was 82.4 ± 7.9 years. All patients were judged to be high risk, with a STS score > 8 in 53.6%. THVs implanted were the Cribier-Edwards (20.9%), Edwards SAPIEN (77.4%) or CoreValve (1.7%). Mortality at 1, 5, and 10-year follow-up was 23.4%, 63%, and 91.6%, respectively. Of the total cohort, 15 patients had structural valve deterioration/bioprosthetic valve failure, with a cumulative incidence at 10-years of 6.5% (95% CI 3.3%, 9.6%). The rate of SVD/BVF at 4, 6, 8, and 10 years was 0.4%, 1.7%, 4.7%, and 6.5%, respectively. Nine patients had moderate SVD and six patients had severe SVD. Of the six patients with severe SVD, two patients had reintervention (one patient had redo TAVR, and the second had surgical aortic valve replacement). Survivors (n = 19) at 10-year follow-up, had a mean gradient of 14.0 ± 7.6 mmHg and aortic regurgitation ≥moderate in 5%. Quality of life measures in 10-year survivors demonstrated ADLs 6/6 in 43.8%, and ambulation without a mobility aid of 62.5%. CONCLUSION: Using early generation balloon expandable THVs in a high-risk population, there was a low rate of structural valve deterioration and valve failure at 10-year follow-up. This study provides insights into the long-term performance of transcatheter heart valves and patients self-reported derived benefits.

Prognostic implications of baseline 6-min walk test performance in intermediate risk patients undergoing transcatheter aortic valve replacement.

BACKGROUND: While slow gait speed is known to be associated with poor outcomes in patients at high surgical risk who undergo transcatheter aortic valve replacement (TAVR), the prognostic significance of slow gait speed in intermediate risk TAVR patients is poorly understood. OBJECTIVES: We assessed the association between baseline 6-min walk test (6MWT) performance and both 2-year mortality and health status in intermediate risk patients undergoing TAVR as a part of the PARTNER II/S3i studies. METHODS: The association of baseline 6MWT with mortality over 2-years after TAVR was examined using Cox regression; both unadjusted and adjusted for age, left ventricular ejection fraction, coronary artery disease, pulmonary disease, renal insufficiency, and STS score. Patients were divided into four groups according to baseline 6MWT: unable to walk and in three equal tertiles of slow, medium, and fast walkers. Among surviving patients, improvement in 6MWT and quality of life were compared. RESULTS: Among 2,037 intermediate risk TAVR patients (mean age 81.7 years, STS score 5.6%), 8.2% were unable to walk. Baseline 6MWT was associated with all-cause mortality over 2 years (Hazard ratio (HR) 0.87 per 50 m, 95% confidence interval [CI] 0.83 to 0.92, p < .0001). Among surviving patients, the adjusted absolute change in 6MWT at 2 years improved for patients unable to walk (+134.1 m, 95% CI 102.1 to 166 m, p < .0001) and slow walkers (+60.5 m, 95% CI 42.8 to 78.2 m, p < .0001), but was unchanged for medium walkers (-7.3 m, 95% CI -24.3 to 9.6 m, p = .4), and declined for fast walkers (-41.3 m, 95% CI -58.7 to -23.9 m, p < .0001). CONCLUSION: Poor functional capacity is predictive of 2-year mortality in elderly intermediate risk patients undergoing TAVR. However, surviving patients with poor baseline functional capacity had significant improvement in 6MWT performance and quality of life at 2-years following TAVR.

INTERASPIRE: an International Survey of Coronary Patients; Their Cardiometabolic, Renal and Biomarker Status; and the Quality of Preventive Care Delivered in All WHO Regions : In Partnership with the World Heart Federation, European Society of Cardiology, Asia Pacific Society of Cardiology, InterAmerican Society of Cardiology, and PanAfrican Society of Cardiology.

PURPOSE OF REVIEW: To describe the INTERASPIRE scientific protocol-an international survey of secondary prevention of coronary heart disease (CHD). RECENT FINDINGS: This international survey is being conducted through National Societies of Cardiology in selected countries from each of the six WHO regions and has the following overall aims: (i) describe prevalence of cardiometabolic and renal risk factors together with biomarkers in CHD patients; (ii) describe current risk factor management through lifestyle changes and cardioprotective drug therapies; (iii) provide an objective assessment of clinical implementation of preventive care by comparison with the lifestyle and risk factor targets defined in international and national guidelines; (iv) investigate the reasons for variation in preventive cardiology practice between regions and countries; and (v) promote the principles of best preventive cardiology practice. This international survey will provide a unique picture of CHD patients; their cardiometabolic, renal and biomarker status; lifestyle and therapeutic management; and the quality of preventive care provided in all WHO regions.

Primary prevention of ischaemic heart disease: populations, individuals, and health professionals.

Ischaemic heart disease has a multifactorial aetiology and can be prevented from developing in populations primordially, and in individuals at high risk by primary prevention. The primordial approach focuses on social determinants of health in populations: political, economic, and social factors, principally unplanned urbanisation, illiteracy, poverty, and working and living conditions. Implementation of the UN Sustainable Development Goals can lead to major improvements in cardiovascular health, and adequate health-care financing and universal health care are important for achieving these goals. Population-level interventions should focus on tobacco control, promotion of healthy foods (fruits, vegetables, legumes, and nuts), curbing unhealthy foods (saturated fats, trans fats, refined carbohydrates, excessive salt, and alcohol), promotion of physical activity in everyday living, and control of ambient and indoor pollution. At the individual level, identification of people at high multifactorial risk and guideline-driven management of hypertension, LDL cholesterol, and diabetes is required. Strategies to improve adherence to healthy lifestyles and drug therapies are essential and can be implemented at health system, health care, and patient levels with use of education, technology, and personalised approaches. Improving quality of medical education with a focus on ischaemic heart disease prevention for physicians, nurses, allied health workers, and the public is required.

The rise and fall of aspirin in the primary prevention of cardiovascular disease.

Aspirin is one of the most frequently used drugs worldwide and is generally considered effective for the secondary prevention of cardiovascular disease. By contrast, the role of aspirin in primary prevention of cardiovascular disease is controversial. Early trials evaluating aspirin for primary prevention, done before the turn of the millennium, suggested reductions in myocardial infarction and stroke (although not mortality), and an increased risk of bleeding. In an effort to balance the risks and benefits of aspirin, international guidelines on primary prevention of cardiovascular disease have typically recommended aspirin only when a substantial 10-year risk of cardiovascular events exists. However, in 2018, three large randomised clinical trials of aspirin for the primary prevention of cardiovascular disease showed little or no benefit and have even suggested net harm. In this narrative Review, we reappraise the role of aspirin in primary prevention of cardiovascular disease, contextualising data from historical and contemporary trials.

North American COVID-19 ST-Segment-Elevation Myocardial Infarction (NACMI) registry: Rationale, design, and implications.

The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), that causes coronavirus disease 2019 (COVID-19), has resulted in a global pandemic. Patients with cardiovascular risk factors or established cardiovascular disease are more likely to experience severe or critical COVID-19 illness and myocardial injury is a key extra-pulmonary manifestation. These patients frequently present with ST-elevation on an electrocardiogram (ECG) due to multiple etiologies including obstructive, non-obstructive, and/or angiographically normal coronary arteries. The incidence of ST-elevation myocardial infarction (STEMI) mimics in COVID-19-positive hospitalized patients, and the association with morbidity and mortality is unknown. Understanding the natural history and appropriate management of COVID-19 patients presenting with ST elevation is essential to inform patient management decisions and protect healthcare workers. Methods: The Society for Cardiovascular Angiography and Interventions (SCAI) and The Canadian Association of Interventional Cardiology (CAIC) in conjunction with the American College of Cardiology Interventional Council have collaborated to create a multi-center observational registry, NACMI. This registry will enroll confirmed COVID-19 patients and persons under investigation (PUI) with new ST-segment elevation or new onset left bundle branch block (LBBB) on the ECG with clinical suspicion of myocardial ischemia. We will compare demographics, clinical findings, outcomes and management of these patients with a historical control group of over 15,000 consecutive STEMI activation patients from the Midwest STEMI Consortium using propensity matching. The primary clinical outcome will be in- hospital major adverse cardiovascular events (MACE) defined as composite of all-cause mortality, stroke, recurrent MI, and repeat unplanned revascularization in COVID-19 confirmed or PUI. Secondary outcomes will include the following: reporting of etiologies of ST Elevation; cardiovascular mortality due to myocardial infarction, cardiac arrest and /or shock; individual components of the primary outcome; composite primary outcome at 1 year; as well as ECG and angiographic characteristics. Conclusion: The multicenter NACMI registry will collect data regarding ST elevation on ECG in COVID-19 patients to determine the etiology and associated clinical outcomes. The collaboration and speed with which this registry has been created, refined, and promoted serves as a template for future research endeavors.