Detecting aortic valve stenosis based on the non-invasive blood pressure waveform-a proof of concept study.

The incidence of aortic valve stenosis (AoS) increases with age, and once diagnosed, symptomatic severe AoS has a yearly mortality rate of 25%. AoS is diagnosed with transthoracic echocardiography (TTE), however, this gold standard is time consuming and operator and acoustic window dependent. As AoS affects the arterial blood pressure waveform, AoS-specific waveform features might serve as a diagnostic tool. Aim of the present study was to develop a novel, non-invasive, AoS detection model based on blood pressures waveforms. This cross-sectional study included patients with AoS undergoing elective transcatheter or surgical aortic valve replacement. AoS was determined using TTE, and patients with no or mild AoS were labelled as patients without AoS, while patients with moderate or severe AoS were labelled as patients with AoS. Non-invasive blood pressure measurements were performed in awake patients. Ten minutes of consecutive data was collected. Several blood pressure-based features were derived, and the median, interquartile range, variance, and the 1st and 9th decile of the change of these features were calculated. The primary outcome was the development of a machine-learning model for AoS detection, investigating multiple classifiers and training on the area under the receiver-operating curve (AUROC). In total, 101 patients with AoS and 48 patients without AoS were included. Patients with AoS showed an increase in left ventricular ejection time (0.02 s, p = 0.001), a delayed maximum upstroke in the systolic phase (0.015 s, p < 0.001), and a delayed maximal systolic pressure (0.03 s, p < 0.001) compared to patients without AoS. With the logistic regression model, a sensitivity of 0.81, specificity of 0.67, and AUROC of 0.79 were found. The majority of the population without AoS was male (85%), whereas in the population with AoS this was evenly distributed (54% males). Age was significantly (5 years, p < 0.001) higher in the population with AoS. In the present study, we developed a novel model able to distinguish no to mild AoS from moderate to severe AoS, based on blood pressure features with high accuracy. Clinical registration number: The study entailing patients with TAVR treatment was registered at ClinicalTrials.gov (NCT03088787, https://clinicaltrials.gov/ct2/show/NCT03088787 ). The study with elective cardiac surgery patients was registered with the Netherland Trial Register (NL7810, https://trialsearch.who.int/Trial2.aspx?TrialID=NL7810 ).

Higher Edmonton Frail Scale prior to transcatheter Aortic Valve Implantation is related to longer hospital stay and mortality.

BACKGROUND: International guidelines for the management of valvular heart disease recommend frailty assessment prior to Transcatheter Aortic Valve Implantation (TAVI), however there is no consensus how to assess frailty. We investigated whether frailty status assessed with the Edmonton Frail Scale (EFS, range 0-17 points) relates to length of stay (LOS), short- and long-term mortality and adverse outcomes after TAVI. METHODS: In this study we included 357 patients between April 2016 till December 2018. EFS was assessed at baseline. Patients were classified into low (0-3), intermediate (4-7) or high frailty status (8-17). LOS was defined as the number of days between admission and discharge. Mortality data were obtained up to four years after TAVI. Adverse events were defined by Valve Academic Research Consortium (VARC)-2 criteria and collected <30 days after TAVI. RESULTS: Patients with higher frailty status had longer median LOS (days (IQR): low 5 (3), intermediate 6 (4) and high 7 (5), p < 0.001) and higher mortality: low vs intermediate vs high at 30 days 0.5%, 2.2%, 7.0% (p = 0.050), 1 year 3.7%, 10.0%, 15.2% (p = 0.052), 2 years 9.2%, 17.8%, 31.7% (p = 0.003), 3 years 17.2%, 24.0, 47.0% (p = 0.001) and 4 years 19.6%, 30.8%, 55.6% (p < 0.001). Frail patients received more often a pacemaker (2.6%, 6.6%, 13.5%, p = 0.048). CONCLUSION: In clinical practice, the EFS is a useful tool to screen for frailty in TAVI patients. This tool may possibly be expanded to determine benefit versus harm-risk in these patients and whether specific pre-procedurally interventions are needed in order to reduce mortality.

Temporal validation of 30-day mortality prediction models for transcatheter aortic valve implantation using statistical process control - An observational study in a national population.

Background: Various mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) have been developed in the past years. The effect of time on the performance of such models, however, is unclear given the improvements in the procedure and changes in patient selection, potentially jeopardizing the usefulness of the prediction models in clinical practice. We aim to explore how time affects the performance and stability of different types of prediction models of 30-day mortality after TAVI. Methods: We developed both parametric (Logistic Regression) and non-parametric (XGBoost) models to predict 30-day mortality after TAVI using data from the Netherlands Heart Registration. The models were trained with data from 2013 to the beginning of 2016 and pre-control charts from Statistical Process Control were used to analyse how time affects the models' performance on independent data from the mid of 2016 to the end of 2019. The area under the Receiver Operating Characteristics curve (AUC) was used to evaluate the models in terms of discrimination and the Brier Score (BS), which is related to calibration, in terms of accuracy of the predicted probabilities. To understand the extent to which refitting the models contribute to the models' stability, we also allowed the models to be updated over time. Results: We included data from 11,291 consecutive TAVI patients from hospitals in the Netherlands. The parametric model without re-training had a median AUC of 0.64 (IQR 0.54-0.73) and BS of 0.028 (IQR 0.021-0.035). For the non-parametric model, the median AUC was 0.63 (IQR 0.48-0.68) and BS was 0.027 (IQR 0.021-0.036). Over time, the developed parametric model was stable in terms of AUC and unstable in terms of BS. The non-parametric model was considered unstable in both AUC and BS. Repeated model refitting resulted in stable models in terms of AUC and decreased the variability of BS, although BS was still unstable. The refitted parametric model had a median AUC of 0.66 (IQR 0.57-0.73) and BS of 0.027 (IQR 0.020-0.035) while the non-parametric model had a median AUC of 0.66 (IQR 0.57-0.74) and BS of 0.027 (IQR 0.023-0.035). Conclusions: The temporal validation of the TAVI 30-day mortality prediction models showed that the models refitted over time are more stable and accurate when compared to the frozen models. This highlights the importance of repeatedly refitted models over time to improve or at least maintain their performance stability. The non-parametric approach did not show improvement over the parametric approach.

An integrated approach to geographic validation helped scrutinize prediction model performance and its variability.

OBJECTIVES: To illustrate in-depth validation of prediction models developed on multicenter data. METHODS: For each hospital in a multicenter registry, we evaluated predictive performance of a 30-day mortality prediction model for transcatheter aortic valve implantation (TAVI) using the Netherlands heart registration (NHR) dataset. We measured discrimination and calibration per hospital in a leave-center-out analysis (LCOA). Meta-analysis was used to calculate I2 values per performance metric from the LCOA and to compute mean and confidence interval (CI) estimates. Case mix differences between studies were inspected using the framework of Debray et al. for understanding external validation. We also aimed to discover subgroups (SGs) with high model prediction error (PE) and their distribution over the centers. RESULTS: We studied 16 hospitals with 11,599 TAVI patients with an early mortality of 3.7%. The models' area under the curve (AUCs) had a wide range between hospitals from 0.59 to 0.79, and miscalibration occurred in seven hospitals. Mean AUC from meta-analysis was 0.68 (95% CI 0.65-0.70). I2 values were 0%, 74%, and 0% for AUC, calibration intercept and slope, respectively. Between-hospital case-mix differences were substantial, and model transportability was low. One SG was discovered with marked global PE and was associated with poor performance on validation centers. CONCLUSION: The illustrated combination of approaches provides useful insights to inspect multicenter-based prediction models, and it exposes their limitations in transportability and performance variability when applied to different populations.

Immediate reduction in left ventricular ejection time following TAVI is associated with improved quality of life.

Background: TAVI has shown to result in immediate and sustained hemodynamic alterations and improvement in health-related quality of life (HRQoL), but previous studies have been suboptimal to predict who might benefit from TAVI. The relationship between immediate hemodynamic changes and outcome has not been studied before. This study sought to assess whether an immediate hemodynamic change, reflecting myocardial contractile reserve, following TAVI is associated with improved HRQoL. Furthermore, it assessed whether pre-procedural cardiac power index (CPI) and left ventricular ejection fraction (LVEF) could predict these changes. Methods: During the TAVI procedure, blood pressure and systemic hemodynamics were prospectively collected with a Nexfin® non-invasive monitor. HRQoL was evaluated pre-procedurally and 12 weeks after the procedure, using the EQ-5D-5L classification tool. Results: Overall, 97/114 (85%) of the included patients were eligible for analyses. Systolic, diastolic and mean arterial pressure, heart rate, and stroke volume increased immediately after TAVI (all p < 0.005), and left ventricular ejection time (LVET) immediately decreased with 10 ms (95%CI = -4 to -16, p < 0.001). Overall HRQoLindex increased from 0.810 [0.662-0.914] before to 0.887 [0.718-0.953] after TAVI (p = 0.016). An immediate decrease in LVET was associated with an increase in HRQoLindex (0.02 index points per 10 ms LVET decrease, p = 0.041). Pre-procedural CPI and LVEF did not predict hemodynamic changes or change in HRQoL. Conclusion: TAVI resulted in an immediate hemodynamic response and increase in HRQoL. Immediate reduction in LVET, suggesting unloading of the ventricle, was associated with an increase in HRQoL, but neither pre-procedural CPI nor LVEF predicted these changes. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT03088787.

Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area.

Background: Manual muscle mass assessment based on Computed Tomography (CT) scans is recognized as a good marker for malnutrition, sarcopenia, and adverse outcomes. However, manual muscle mass analysis is cumbersome and time consuming. An accurate fully automated method is needed. In this study, we evaluate if manual psoas annotation can be substituted by a fully automatic deep learning-based method. Methods: This study included a cohort of 583 patients with severe aortic valve stenosis planned to undergo Transcatheter Aortic Valve Replacement (TAVR). Psoas muscle area was annotated manually on the CT scan at the height of lumbar vertebra 3 (L3). The deep learning-based method mimics this approach by first determining the L3 level and subsequently segmenting the psoas at that level. The fully automatic approach was evaluated as well as segmentation and slice selection, using average bias 95% limits of agreement, Intraclass Correlation Coefficient (ICC) and within-subject Coefficient of Variation (CV). To evaluate performance of the slice selection visual inspection was performed. To evaluate segmentation Dice index was computed between the manual and automatic segmentations (0 = no overlap, 1 = perfect overlap). Results: Included patients had a mean age of 81 ± 6 and 45% was female. The fully automatic method showed a bias and limits of agreement of -0.69 [-6.60 to 5.23] cm2, an ICC of 0.78 [95% CI: 0.74-0.82] and a within-subject CV of 11.2% [95% CI: 10.2-12.2]. For slice selection, 84% of the selections were on the same vertebra between methods, bias and limits of agreement was 3.4 [-24.5 to 31.4] mm. The Dice index for segmentation was 0.93 ± 0.04, bias and limits of agreement was -0.55 [1.71-2.80] cm2. Conclusion: Fully automatic assessment of psoas muscle area demonstrates accurate performance at the L3 level in CT images. It is a reliable tool that offers great opportunities for analysis in large scale studies and in clinical applications.

Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome Prediction.

Background: Machine learning models have been developed for numerous medical prognostic purposes. These models are commonly developed using data from single centers or regional registries. Including data from multiple centers improves robustness and accuracy of prognostic models. However, data sharing between multiple centers is complex, mainly because of regulations and patient privacy issues. Objective: We aim to overcome data sharing impediments by using distributed ML and local learning followed by model integration. We applied these techniques to develop 1-year TAVI mortality estimation models with data from two centers without sharing any data. Methods: A distributed ML technique and local learning followed by model integration was used to develop models to predict 1-year mortality after TAVI. We included two populations with 1,160 (Center A) and 631 (Center B) patients. Five traditional ML algorithms were implemented. The results were compared to models created individually on each center. Results: The combined learning techniques outperformed the mono-center models. For center A, the combined local XGBoost achieved an AUC of 0.67 (compared to a mono-center AUC of 0.65) and, for center B, a distributed neural network achieved an AUC of 0.68 (compared to a mono-center AUC of 0.64). Conclusion: This study shows that distributed ML and combined local models techniques, can overcome data sharing limitations and result in more accurate models for TAVI mortality estimation. We have shown improved prognostic accuracy for both centers and can also be used as an alternative to overcome the problem of limited amounts of data when creating prognostic models.

Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study.

Current prognostic risk scores for transcatheter aortic valve implantation (TAVI) do not benefit yet from modern machine learning techniques, which can improve risk stratification of one-year mortality of patients before TAVI. Despite the advancement of machine learning in healthcare, data sharing regulations are very strict and typically prevent exchanging patient data, without the involvement of ethical committees. A very robust validation approach, including 1300 and 631 patients per center, was performed to validate a machine learning model of one center at the other external center with their data, in a mutual fashion. This was achieved without any data exchange but solely by exchanging the models and the data processing pipelines. A dedicated exchange protocol was designed to evaluate and quantify the model's robustness on the data of the external center. Models developed with the larger dataset offered similar or higher prediction accuracy on the external validation. Logistic regression, random forest and CatBoost lead to areas under curve of the ROC of 0.65, 0.67 and 0.65 for the internal validation and of 0.62, 0.66, 0.68 for the external validation, respectively. We propose a scalable exchange protocol which can be further extended on other TAVI centers, but more generally to any other clinical scenario, that could benefit from this validation approach.

Online Quantitative Aortographic Assessment of Aortic Regurgitation After TAVR: Results of the OVAL Study.

OBJECTIVES: The aim of this study was to investigate the online assessment feasibility of aortography using videodensitometry in the catheterization laboratory during transcatheter aortic valve replacement (TAVR). BACKGROUND: Quantitative assessment of regurgitation after TAVR through aortography using videodensitometry is simple, reproducible, and validated in vitro, in vivo, in clinical trials, and in "real-world" patients. However, thus far the assessment has been done offline. METHODS: This was a single center, prospective, proof-of-principle, feasibility study. One hundred consecutive patients with aortic stenosis and indications to undergo TAVR were enrolled. All final aortograms were analyzed immediately after acquisition in the catheterization laboratory and were also sent to an independent core laboratory for blinded offline assessment. The primary endpoint of the study was the feasibility of the online assessment of regurgitation (percentage of analyzable cases). The secondary endpoint was the reproducibility of results between the online assessment and the offline analysis by the core laboratory. RESULTS: Patients' mean age was 81 ± 7 years, and 56% were men. The implanted valves were either SAPIEN 3 (97%) or SAPIEN 3 Ultra (3%). The primary endpoint of online feasibility of analysis was 92% (95% confidence interval [CI]: 86% to 97%) which was the same feasibility encountered by the core laboratory (92%; 95% CI: 86% to 97%). Reproducibility assessment showed a high correlation between online and core laboratory evaluations (R2 = 0.87, p < 0.001), with an intraclass correlation coefficient of 0.962 (95% CI: 0.942 to 0.975; p < 0.001). CONCLUSIONS: This study showed high feasibility of online quantitative assessment of regurgitation and high agreement between the online examiner and core laboratory. These results may pave the way for the application of videodensitometry in the catheterization laboratory after TAVR. (Online Videodensitometric Assessment of Aortic Regurgitation in the Cath-Lab [OVAL]; NCT04047082).

Prespecified Risk Criteria Facilitate Adequate Discharge and Long-Term Outcomes After Transfemoral Transcatheter Aortic Valve Implantation.

Background Despite the availability of guidelines for the performance of transcatheter aortic valve implantation (TAVI), current treatment pathways vary between countries and institutions, which impact on the mean duration of postprocedure hospitalization. Methods and Results This was a prospective, multicenter registry of 502 patients to validate the appropriateness of discharge timing after transfemoral TAVI, using prespecified risk criteria from FAST-TAVI (Feasibility and Safety of Early Discharge After Transfemoral [TF] Transcatheter Aortic Valve Implantation), based on hospital events within 1-year after discharge. The end point-a composite of all-cause mortality, vascular access-related complications, permanent pacemaker implantation, stroke, cardiac rehospitalization, kidney failure, and major bleeding-was reached in 27.0% of patients (95% CI, 23.3-31.2) within 1 year after intervention; 7.5% (95% CI, 5.5-10.2) had in-hospital complications before discharge and 19.6% (95% CI, 16.3-23.4) within 1 year after discharge. Overall mortality within 1 year after discharge was 7.3% and rates of cardiac rehospitalization 13.5%, permanent pacemaker implantation 4.2%, any stroke 1.8%, vascular-access-related complications 0.7%, life-threatening bleeding 0.7%, and kidney failure 0.4%. Composite events within 1 year after discharge were observed in 18.8% and 24.3% of patients with low risk of complications/early (≤3 days) discharge and high risk and discharged late (>3 days) (concordant discharge), respectively. Event rate in patients with discordant discharge was 14.3% with low risk but discharged late and increased to 50.0% in patients with high risk but discharged in ≤3 days. Conclusions The FAST-TAVI risk assessment provides a tool for appropriate, risk-based discharge that was validated with the 1-year event rate after transfemoral TAVI. Registration URL: https://www.ClinicalTrials.gov; Unique identifier: NCT02404467.

Pre-PCI versus immediate post-PCI Impella initiation in acute myocardial infarction complicated by cardiogenic shock.

BACKGROUND: In selected patients with an acute myocardial infarction (AMI) complicated by Cardiogenic shock (CS), mechanical circulatory support with Impella may be beneficial, although conclusive evidence is still lacking. Nevertheless, it has been suggested that Impella initiation prior to primary PCI might improve survival. OBJECTIVE: To investigate the effect pre-PCI versus immediate post-PCI Impella initiation on short term mortality. METHODS: A prospective, single center, observational study, was performed including all patients with STEMI complicated by CS, treated with primary PCI and Impella. Thirty day mortality was compared between patients with Impella initiation pre-PCI and immediately post-PCI. RESULTS: A total of 88 patients were included. In the pre-PCI group (n = 21), admission heart rate was lower (84 versus 94 bpm, p = 0.04) and no IABP was implanted before Impella initiation, versus 17.9% in post-PCI group (n = 67), p = 0.04. Total 30-day all-cause mortality was 58%, and was lower in pre-PCI group, 47.6% versus 61.2% in the post-PCI group, however not statistically significant (HR 0.7, 95% CI 0.3-1.3, p = 0.21). Thirty-day cardiac mortality was significantly lower in the pre-PCI group, 19% versus 44.7% in the post-PCI group (HR 0.3, 95% CI 0.09-0.96, p = 0.042). CONCLUSION: Pre-PCI Impella initiation in AMICS patients was not associated with a statistically significant difference in 30-day all-cause mortality, compared to post-PCI Impella initiation.

Optimising patient discharge management after transfemoral transcatheter aortic valve implantation: the multicentre European FAST-TAVI trial.

AIMS: Treatment pathway optimisation in TAVI should include timely patient discharge with a minimised risk for out-of-hospital adverse events. The aim of this study was to define a standardised set of risk criteria that allows a safe and timely discharge, to validate their appropriateness prospectively in different centres and multiple European countries, and to assess post-discharge outcomes. METHODS AND RESULTS: We defined and validated the adequacy of a set of discharge criteria and its ability to predict timely and safe discharge properly after the intervention in a prospective, European, multicentre registry. A total of 502 unselected patients were enrolled at 10 sites in three countries. The primary endpoint, defined as a composite of all-cause mortality, vascular access-related complications, permanent pacemaker implantation, stroke, re-hospitalisation due to cardiac reasons, kidney failure and major bleeding at 30 days, was reached in 12.9% of patients (95% CI: 11.3-16.5). The overall 30-day mortality was 1.1% (95% CI: 0.2-2.0), and the rates of stroke/TIA 1.7% (95% CI: -0.6 to 4.0), PPI 7.3% (95% CI: 5.8-8.9), major vascular complications 1.9% (95% CI: 0.7-3.1), major/life-threatening bleeding 2.4% (95% CI: 1.0-3.8) and cardiac re-hospitalisation 3.7% (95% CI: 1.4-6.0). Patients appropriately discharged early had a significantly lower risk of the primary endpoint (7.0 vs. 26.4%; p<0.001) which was reflected in some of its relevant components: stroke (0.0 vs. 2.8%; p=0.015), PPI (4.3 vs. 15.9%; p<0.001), major vascular complications (0.3 vs. 4.7%; p=0.004) and major/life-threatening bleeding (0.3 vs. 6.5%; p<0.001). CONCLUSIONS: We validated the appropriateness of a pre-specified set of risk criteria that allows a safe and timely discharge. The rate of 30-day complications did not reveal any risk increase with this strategy compared with the reported outcomes in major TAVI trials and registries. ClinicalTrials.gov Identifier: NCT02404467.

Premedication to reduce anxiety in patients undergoing coronary angiography and percutaneous coronary intervention.

Aims: In this study, we examined the effects of the routinely administration of benzodiazepines on reducing periprocedural anxiety versus no premedication. Methods: In this open label study, we enrolled 1683 patients undergoing diagnostic coronary angiograms (CAG) or percutaneous coronary interventions (PCI). Randomisation was simulated by systematically allocating patients in monthly rotational periods to lorazepam 1 mg/sl, oxazepam 10 mg/po, diazepam 5 mg/po, midazolam 7.5 mg/po or no premedication. Anxiety was measured at four different time points using the one-item Visual Analogue Scale for Anxiety (VAS score) ranging from 0 to 10. The primary outcome was the difference in anxiety reduction (ΔVAS, preprocedure to postprocedure), between the different premedication strategies versus no premedication. Results: Anxiety reduction was larger in patients premedicated with lorazepam (ΔVAS=-2.0, SE=1.6, P=0.007) or diazepam (ΔVAS=-2.0, SE=1.5, p=0.003) compared with patients without any premedication (ΔVAS=-1.4, SE=1.2). The use of midazolam or oxazepam did not lead to a significant reduction in anxiety compared with patients who did not receive premedication. Additionally, a high number of patients treated with midazolam (N=39, 19.8%) developed side effects. Conclusions: In this study, the use of lorazepam or diazepam was associated with a significant, but modest anxiety reduction in patients undergoing CAG or PCI. This study does not support the standard use of oxazepam or midazolam as premedication to reduce anxiety.

Complete two-year follow-up with formal non-inferiority testing on primary outcomes of the AIDA trial comparing the Absorb bioresorbable scaffold with the XIENCE drug-eluting metallic stent in routine PCI.

AIMS: The aim of this report of the AIDA trial is to provide full two-year outcomes for the primary endpoint of target vessel failure (TVF) and an update on device thrombosis. METHODS AND RESULTS: AIDA was a single-blind, multicentre, investigator-initiated, non-inferiority, randomised (1:1) clinical trial. At complete two-year follow-up, the primary endpoint of TVF had occurred in 100 patients in the Absorb BVS arm versus 90 patients in the XIENCE EES arm (HR 1.12, 95% CI: 0.94-1.49; psuperiority=0.436). Estimated two-year Kaplan-Meier event rates of TVF were 11.0% and 9.9%, respectively (95% CI: -0.9%-3.0%; pnon-inferiority=0.003). Definite or probable device thrombosis at two years occurred in 30 patients in the Absorb BVS arm and in eight patients in the XIENCE EES arm. Kaplan-Meier estimates of device thrombosis were 3.3% in the Absorb BVS arm and 0.9% in the XIENCE EES arm (HR 5.22, 95% CI: 2.00-13.59; p<0.001). CONCLUSIONS: AIDA formally met its criterion for non-inferiority of Absorb BVS versus XIENCE EES in terms of the combined endpoint of TVF. The Absorb BVS, however, was associated with higher rates of scaffold thrombosis and target vessel myocardial infarction at complete two-year follow-up.

Remote Monitoring of Patients Undergoing Transcatheter Aortic Valve Replacement: A Framework for Postprocedural Telemonitoring.

BACKGROUND: The postprocedural trajectory of patients undergoing transcatheter aortic valve replacement (TAVR) involves in-hospital monitoring of potential cardiac rhythm or conduction disorders and other complications. Recent advances in telemonitoring technologies create opportunities to monitor electrocardiogram (ECG) and vital signs remotely, facilitating redesign of follow-up trajectories. OBJECTIVE: This study aimed to outline a potential set-up of telemonitoring after TAVR. METHODS: A multidisciplinary team systematically framed the envisioned telemonitoring scenario according to the intentions, People, Activities, Context, Technology (iPACT) and Functionality, Interaction, Content, Services (FICS) methods and identified corresponding technical requirements. RESULTS: In this scenario, a wearable sensor system is used to continuously transmit ECG and contextual data to a central monitoring unit, allowing remote follow-up of ECG abnormalities and physical deteriorations. Telemonitoring is suggested as an alternative or supplement to current in-hospital monitoring after TAVR, enabling early hospital dismissal in eligible patients and accessible follow-up prolongation. Together, this approach aims to improve rehabilitation, enhance patient comfort, optimize hospital capacity usage, and reduce overall costs. Required technical components include continuous data acquisition, real-time data transfer, privacy-ensured storage, automatic event detection, and user-friendly interfaces. CONCLUSIONS: The suggested telemonitoring set-up involves a new approach to patient follow-up that could bring durable solutions for the growing scarcities in health care and for improving health care quality. To further explore the potential and feasibility of post-TAVR telemonitoring, we recommend evaluation of the overall impact on patient outcomes and of the safety, social, ethical, legal, organizational, and financial factors.

Five-year follow-up of the endothelial progenitor cell capturing stent versus the paxlitaxel-eluting stent in de novo coronary lesions with a high risk of coronary restenosis.

OBJECTIVES: To assess the long-term safety and clinical efficacy of the Genous endothelial progenitor cell capturing stent (ECS) compared with the TAXUS Liberté paclitaxel-eluting stent (PES) in lesions with a high risk of restenosis. BACKGROUND: Instead of the use of cytotoxic or cytostatic drugs in drug-eluting stents, a "pro-healing" approach in ECS may overcome impeded healing response due to delayed functional endothelialization of the stent struts. METHODS: In the prospective, randomized TRIAS pilot study 193 patients with coronary artery lesions carrying a high risk of restenosis were included (ECS: n = 98, PES: n = 95). The primary focus of this analysis was target vessel failure (TVF) at 5 years. Dual antiplatelet therapy was prescribed for ≥1 month after ECS and for ≥6 months after PES. RESULTS: At 5 years follow-up, no significant differences were found in TVF (ECS 24% vs. PES 29%, risk difference 95% confidence interval (RDCI) -17.3% to 7.4%). Between 2 and 5 years after the index procedure, low numbers of TVF were observed in ECS compared with PES (ECS 4% vs. PES 16%, RDCI -20.8% to -2.3%). There was no definite stent thrombosis in ECS compared with four patients in the PES group. CONCLUSION: This is the first randomized study providing very long-term clinical efficacy and safety of the ECS in lesions carrying a high risk of restenosis. At 5 years follow-up, TVF rates in ECS group are numerically lower compared with PES due to an increase of events between 2 and 5 years after the index procedure.

Efficacy of the RADPAD Protection Drape in Reducing Operators' Radiation Exposure in the Catheterization Laboratory: A Sham-Controlled Randomized Trial.

BACKGROUND: Interventional cardiologists are increasingly exposed to radiation-induced diseases like cataract and the stochastic risk of left-sided brain tumors. The RADPAD is a sterile, disposable, lead-free shield placed on the patient with the aim to minimize operator-received scatter radiation. The objective of the trial was to examine the RADPAD's efficacy in a real-world situation. METHODS AND RESULTS: In the current, double-blind, sham-controlled, all-comer trial, patients undergoing diagnostic catheterization or percutaneous coronary interventions were randomized in a 1:1:1 ratio to a radiation absorbing shield (RADPAD), standard treatment (NOPAD), or a sham shield (SHAMPAD). The sham shield allowed testing for shield-induced radiation behavior. The primary outcome was the difference in relative exposure of the primary operator between the RADPAD and NOPAD arms and was defined as the ratio between operator's exposure (E in µSv) and patient exposure (dose area product in mGy·cm2), measured per procedure. A total of 766 consecutive coronary procedures were randomized to the use of RADPAD (N=255), NOPAD (N=255), or SHAMPAD (N=256). The use of RADPAD was associated with a 20% reduction in relative operator exposure compared with that of NOPAD (P=0.01) and a 44% relative exposure reduction compared with the use of a SHAMPAD (P<0.001). Use of the SHAMPAD was associated with a 43% higher relative radiation exposure than procedures with NOPAD (P=0.009). CONCLUSIONS: In clinical daily practice, the standard use of the RADPAD radiation shield reduced operator radiation exposure compared with procedures with NOPAD or SHAMPAD. This study supports the routine use of RADPAD in the catheterization laboratory. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03139968.

Feasibility and safety of early discharge after transfemoral transcatheter aortic valve implantation - rationale and design of the FAST-TAVI registry.

BACKGROUND: There is an increasing trend towards shorter hospital stays after transcatheter aortic valve implantation (TAVI), in particular for patients undergoing the procedure via transfemoral (TF) access. Preliminary data suggest that there exists a population of patients that can be discharged safely very early after TF-TAVI. However, current evidence is limited to few retrospective studies, encompassing relatively small sample sizes. METHODS: The Feasibility And Safety of early discharge after Transfemoral TAVI (FAST-TAVI) registry is a prospective observational registry that will be conducted at 10 sites across Italy, the Netherlands and the UK. Patients will be included if they have been scheduled to undergo TF-TAVI with the balloon-expandable SAPIEN 3 transcatheter heart valve (THV; Edwards Lifesciences, Irvine, CA). The primary endpoint is a composite of all-cause mortality, vascular-access-related complications, permanent pacemaker implantation, stroke, re-hospitalisation due to cardiac reasons, kidney failure and major bleeding, occurring during the first 30 days after hospital discharge. Patients will be stratified according to whether they were high or low risk for early discharge (≤3 days) (following pre-specified criteria), and according to whether or not they were discharged early. Secondary endpoints will include time-to-event (Kaplan-Meier) analysis for the primary outcome and its individual components, analysis of the relative costs of early and late discharge, and changes in short- and long-term quality of life. Multivariate logistic regression will be used to identify factors that indicate that a patient may be suitable for early discharge. DISCUSSION: The data gathered in the FAST-TAVI registry should help to clarify the safety of early discharge after TF-TAVI and to identify patient and procedural characteristics that make early discharge from hospital a safe and cost-effective strategy. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02404467 (registration first received March 23rd 2015).

Anxiety levels of patients undergoing coronary procedures in the catheterization laboratory.

BACKGROUND: High levels of anxiety are associated with worse outcomes in coronary artery disease patients. Little is known about anxiety levels in patients undergoing coronary procedures. Our objective is to examine the levels of anxiety in patients undergoing coronary angiography (CAG) or percutaneous coronary intervention (PCI) during the different phases of hospital stay and to evaluate which patient characteristics are associated with increased anxiety. METHODS: Patients undergoing CAG or PCI between April 2009 and April 2010 were included in this prospective cohort study. Anxiety levels were measured using the self reported Visual Analogue Scale (VAS) of Anxiety, ranging from 0 to 100. VAS anxiety scores were obtained at hospital intake, pre- and post-procedure, and at hospital discharge. Multivariate linear regression analyses were performed to assess correlations between baseline characteristics and anxiety levels at the different time points. RESULTS: In total 2604 patients were included, with 70.4% male participants with a mean age of 65±12years. VAS anxiety scores were highest pre-procedure (44.2±27.0mm). Female patients reported a significantly higher pre procedure VAS anxiety score (50.4±26.5) compared to males (41.5±26.8, p=0.02). Other factors associated with higher levels of anxiety at different time points were age<65years, low level of education and an acute primary PCI. CONCLUSION: In the largest cohort to date, we examined anxiety among patients undergoing PCI or CAG was highest immediately around the procedure, particularly in patients aged <65years, of female gender, undergoing primary PCI, or with a lower level of education. Better pre-procedural information or pharmacological strategies may reduce anxiety in these patients.

Two-year clinical outcomes of Absorb bioresorbable vascular scaffold implantation in complex coronary artery disease patients stratified by SYNTAX score and ABSORB II study enrolment criteria.

AIMS: This study presents the two-year clinical outcomes of the Amsterdam ABSORB registry stratified by lesion and patient characteristics complexity (SYNTAX score and ABSORB II study enrolment criteria). METHODS AND RESULTS: Patients treated with BVS were included in this prospective registry and stratified according to the ABSORB II trial inclusion and exclusion criteria and the SYNTAX score. The registry comprises 135 patients (59±11 years, 73% male, 18% diabetic) with 159 lesions. Median follow-up duration was 774 days (742-829). Median SYNTAX score was 11.5 (Q1-Q3: 6-17.5). Two-year event rates were cardiac death 0.7%, MI 5.3%, TVR 13.6%, TLR 11.4%, definite ST 3.0% and TVF 14.4%, respectively. Stratified analyses showed a significantly higher revascularisation rate in patients not meeting ABSORB II criteria (TVR: 2.3% vs. 19.2%, p=0.010, and TLR: 2.3% vs. 15.8%, p=0.025) and patients with SYNTAX score ≥11.5 (TVR: 4.8% vs. 21.8%, p=0.006, and TLR: 3.2% vs. 17.4%, p=0.007). CONCLUSIONS: The use of Absorb BVS in patients meeting the ABSORB II trial inclusion criteria or those with low SYNTAX scores is associated with acceptable clinical outcomes at two-year follow-up. Patients with more complex characteristics have significantly higher revascularisation rates.