The V-LAP System for Remote Left Atrial Pressure Monitoring of Patients with Heart Failure: Remote Left Atrial Pressure Monitoring

Implantable Biosensors for Vascular Diseases: Directions for the Next Generation of Active Diagnostic and Therapeutic Medical Device Technologies

Cardiovascular disease remains the leading cause of morbidity and mortality worldwide. Key challenges such as atherosclerosis, in-stent restenosis, and maintaining arteriovenous access, pose urgent problems for effective treatments for both coronary artery disease and chronic kidney disease. The next generation of active implantables will offer innovative solutions and research opportunities to reduce the economic and human cost of disease. Current treatments rely on vascular stents or synthetic implantable grafts to treat vessels when they block such as through in-stent restenosis and haemodialysis graft failure. This is often driven by vascular cell overgrowth termed neointimal hyperplasia, often in response to inflammation and injury. The integration of biosensors into existing approved implants will bring a revolution in cardiovascular devices and into a promising new era. Biosensors that allow real-time vascular monitoring will provide early detection and warning of pathological cell growth. This will enable proactive wireless treatment outside of the traditional hospital settings. Ongoing research focuses on the development of self-reporting smart cardiovascular devices, which have shown promising results using a combination of virtual in silico modelling, bench testing, and preclinical in vivo testing. This innovative approach holds the key to a new generation of wireless data solutions and wireless powered implants to enhance patient outcomes and alleviate the burden on global healthcare budgets.

Noninvasive biometric monitoring technologies for patients with heart failure

Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not only impacts quality of life but also poses a significant public health burden. The majority of affected patients are admitted with signs and symptoms of congestion. Despite the initial enthusiasm, traditional remote monitoring strategies focusing primarily on weight gain failed to improve clinical outcomes. Implantable pulmonary artery pressure sensors provide earlier and actionable data, but most patients would favor forgoing an invasive procedure in favor of an alternative, non-invasive monitoring platform. Several devices utilizing different combinations of multiparameter monitoring to reliably detect congestion have recently been developed and are undergoing testing in the clinical setting. Combining these sensors with the power of artificial intelligence and machine learning has the potential to revolutionize remote patient monitoring and early congestion detection and to facilitate timely interventions by the care team to prevent hospitalization. This manuscript provides an objective review of novel, noninvasive, multiparameter remote monitoring platforms that may be tailored to individual heart failure phenotypes, aiming to improve quality of life and survival.

Benefits of remote hemodynamic monitoring in heart failure

Despite treatment advancements, HF mortality remains high, prompting interest in reducing HF-related hospitalizations through remote monitoring. These advances are necessary considering the rapidly rising prevalence and incidence of HF worldwide, presenting a burden on hospital resources. While traditional approaches have failed in predicting impending HF-related hospitalizations, remote hemodynamic monitoring can detect changes in intracardiac filling pressure weeks prior to HF-related hospitalizations which makes timely pharmacological interventions possible. To ensure successful implementation, structural integration, optimal patient selection, and efficient data management are essential. This review aims to provide an overview of the rationale, the available devices, current evidence, and the implementation of remote hemodynamic monitoring.

Pathophysiology of Congestion in Heart Failure: A Contemporary Review

Acutely decompensated heart failure is one of the leading causes of hospitalisation worldwide, with a significant majority of these cases attributed to congestion. Although congestion is commonly mistaken for volume overload, evidence suggests that decompensation can occur without significant water accumulation, being attributed to volume redistribution. Yet, the distinction between intravascular and extravascular congestion in heart failure often blurs, as patients frequently exhibit overlapping features of both, and as patients may transition between phenotypes over time. Considering that differentiation between intravascular and extravascular congestion can lead to different management strategies, the aim of this review was to delineate the pathophysiological nuances between the two, as well as their correlation with clinical, biochemical and imaging indices.

Physician-directed patient self-management in heart failure using left atrial pressure: Interim insights from the VECTOR-HF I and IIa studies

AIMS

Haemodynamic monitoring using implantable pressure sensors reduces the risk of heart failure (HF) hospitalizations. Patient self-management (PSM) of haemodynamics in HF has the potential to personalize treatment, increase adherence, and reduce the risk of worsening HF, while lowering clinicians' burden.

METHODS AND RESULTS

The VECTOR-HF I and IIa studies are prospective, single-arm, open-label clinical trials assessing safety, usability and performance of left atrial pressure (LAP)-guided HF management using PSM in New York Heart Association class II and III HF patients. Physician-prescribed LAP thresholds trigger patient self-adjustment of diuretics. Primary endpoints include the ability to perform LAP measurements and transmit data to the healthcare provider (HCP) interface and the patient guidance application, and safety outcomes. This is an interim analysis of 13 patients using the PSM approach. Over 12 months, no procedure- or device-related major adverse cardiovascular or neurological events were observed, and there were no failures to obtain measurements from the sensor and transmit the data to the HCP interface and the patient guidance application. Patient adherence was 91.4%. Using PSM, annualized HF hospitalization rate significantly decreased compared to a similar period prior to PSM utilization (0 admissions vs. 0.69 admissions over 11.84 months, p = 0.004). At 6 months, 6-min walk test distance and the Kansas City Cardiomyopathy Questionnaire overall summary score demonstrated significant improvement.

CONCLUSIONS

Interim findings suggest that PSM using a LAP monitoring system is feasible and safe. PSM is associated with high patient adherence, potentially improving HF patients' functional status, quality of life, and limiting HF hospitalizations.

Bias-Free Cardiac Monitoring Capsule

Cardiovascular disease (CVD) remains the leading cause of death worldwide. Patients often fail to recognize the early signs of CVDs, which display irregularities in cardiac contractility and may ultimately lead to heart failure. Therefore, continuously monitoring the abnormal changes in cardiac contractility may represent a novel approach to long-term CVD surveillance. Here, a zero-power consumption and implantable bias-free cardiac monitoring capsule (BCMC) is introduced based on the triboelectric effect for cardiac contractility monitoring in situ. The output performance of BCMC is improved over 10 times with nanoparticle self-adsorption method. This device can be implanted into the right ventricle of swine using catheter intervention to detect the change of cardiac contractility and the corresponding CVDs. The physiological signals can be wirelessly transmitted to a mobile terminal for analysis through the acquisition and transmission module. This work contributes to a new option for precise monitoring and early diagnosis of CVDs.

Advancements in electrochemical biosensing of cardiovascular disease biomarkers

Cardiovascular diseases (CVDs) stand as a predominant global health concern, introducing vast socioeconomic challenges. In addressing this pressing dilemma, enhanced diagnostic modalities have become paramount, positioning electrochemical biosensing as an instrumental innovation. This comprehensive review navigates the multifaceted terrain of CVDs, elucidating their defining characteristics, clinical manifestations, therapeutic avenues, and intrinsic risk factors. Notable emphasis is placed on pivotal diagnostic tools, spotlighting cardiac biomarkers distinguished by their unmatched clinical precision in terms of relevance, sensitivity, and specificity. Highlighting the broader repercussions of CVDs, there emerges an accentuated need for refined diagnostic strategies. Such an exploration segues into a profound analysis of electrochemical biosensing, encapsulating its foundational principles, diverse classifications, and integral components, notably recognition molecules and transducers. Contemporary advancements in biosensing technologies are brought to the fore, emphasizing pioneering electrode architectures, cutting-edge signal amplification processes, and the synergistic integration of biosensors with microfluidic platforms. At the core of this discourse is the demonstrated proficiency of biosensors in detecting cardiovascular anomalies, underpinned by empirical case studies, systematic evaluations, and clinical insights. As the narrative unfolds, it addresses an array of inherent challenges, spanning intricate technicalities, real-world applicability constraints, and regulatory considerations, finally, by casting an anticipatory gaze upon the future of electrochemical biosensing, heralding a new era of diagnostic tools primed to revolutionize cardiovascular healthcare.

Prediction of recurrent heart failure hospitalizations and mortality using the echocardiographic Killip score

AIM

Examine the performance of a simple echocardiographic "Killip score" (eKillip) in predicting heart failure (HF) hospitalizations and mortality after index event of decompensated HF hospitalization.

METHODS

HF patients hospitalized at our facility between 03/2019-03/2021 who underwent an echocardiography during their index admission were included in this retrospective analysis. The cohort was divided into 4 classes of eKillip according to: stroke volume index (SVI) < 35ml/m2 > and E/E' ratio < 15 > . An eKillip Class I was defined as SVI ≥ 35ml/m2 and E/E' ≤ 15 and was used as reference.

RESULTS

Included 751 patients, median age 78.1 (IQR 69.3-86) years, 59% men, left ventricular ejection fraction 45 (IQR 30-60)%, brain natriuretic peptide levels 634 (IQR 331-1222)pg/ml. Compared with eKillip Class I, a graded increase in the combined endpoint of 30-day mortality and rehospitalizations rates was noted: (Class II: HR 1.77, CI 0.95-3.33, p = 0.07; Class III: HR 1.94, CI 1.05-3.6, p = 0.034; Class IV: HR 2.9, CI 1.64-5.13, p < 0.001 respectively), which overall persisted after correction for clinical (Class II: HR 1.682, CI 0.9-3.15, p = 0.105; Class III: HR 2.104, CI 1.13-3.9, p = 0.019; Class IV: HR 2.74, CI 1.54-4.85, p = 0.001 respectively) or echocardiographic parameters (Class II: HR 1.92, CI 1.02-3.63, p = 0.045; Class III: HR 1.54, CI 0.81-2.95, p = 0.189; Class IV: HR 2.04, CI 1.1-3.76, p = 0.023 respectively). Specifically, the eKillip Class IV group comprised one-third of the patient population and persistently showed increased risk of 30-day HF hospitalizations or mortality following multivariate analysis.

CONCLUSION

A simple echocardiographic score can assist identifying high-risk decompensated HF patients for recurrent hospitalizations and mortality.

Implementation of remote monitoring strategies to improve chronic heart failure management

PURPOSE OF REVIEW

The goal of this review is to describe the current evidence available for remote monitoring devices available for patients with chronic heart failure, and also detail practical clinical recommendations for implementing these tools in daily clinical practice.

RECENT FINDINGS

Several devices ranging from sophisticated multiparametric algorithms in defibrillators, implantable pulmonary artery pressure sensors, and wearable devices to measure thoracic impedance can be utilized as important adjunctive tools to reduce the risk of heart failure hospitalization in patients with chronic heart failure. Pulmonary artery pressure sensors provide the most granular data regarding hemodynamic status, while alerts from wearable devices for thoracic impedance and defibrillator-based algorithms increase the likelihood of worsening clinical status while also having high negative predictive value when values are within normal range.

SUMMARY

Multiple device-based monitoring strategies are available to reduce longitudinal risk in patients with chronic heart failure. Further studies are needed to best understand a practical pathway to integrate multiple signals of data for early clinical decompensation risk predictionVideo abstract: http://links.lww.com/HCO/A95.

Heart Failure Management through Telehealth: Expanding Care and Connecting Hearts

Heart failure (HF) is a leading cause of morbidity worldwide, imposing a significant burden on deaths, hospitalizations, and health costs. Anticipating patients' deterioration is a cornerstone of HF treatment: preventing congestion and end organ damage while titrating HF therapies is the aim of the majority of clinical trials. Anyway, real-life medicine struggles with resource optimization, often reducing the chances of providing a patient-tailored follow-up. Telehealth holds the potential to drive substantial qualitative improvement in clinical practice through the development of patient-centered care, facilitating resource optimization, leading to decreased outpatient visits, hospitalizations, and lengths of hospital stays. Different technologies are rising to offer the best possible care to many subsets of patients, facing any stage of HF, and challenging extreme scenarios such as heart transplantation and ventricular assist devices. This article aims to thoroughly examine the potential advantages and obstacles presented by both existing and emerging telehealth technologies, including artificial intelligence.

Remote Monitoring Devices and Heart Failure

Remote patient monitoring (RPM) in patients with heart failure (HF) involves transmitting physiological data from devices to a health-care provider via a wireless connection with targeted interventions when values exceed the preset threshold. Devices used in telemonitoring range from weighing scales, blood pressure cuffs, and pulse oximeters to devices used to measure cardiac filling pressure and intrathoracic impedance using cardiac implantable electronic devices and wearables. Accordingly, RPM devices can potentially engage patients in their cardiovascular care and reduce the burden of HF in society.

Emerging devices for heart failure management

There have been significant advances in the treatment of heart failure (HF) in recent years, driven by significant strides in guideline-directed medical therapy (GDMT). Despite this, HF is still associated with high levels of morbidity and mortality, and most patients do not receive optimal medical therapy. In conjunction with the improvement of GDMT, novel device therapies have been developed to better treat HF. These devices include technology capable of remotely monitoring HF physiology, devices that modulate the autonomic nervous system, and those that structurally change the heart with the ultimate aim of addressing the root causes of HF physiology As these device therapies gradually integrate into the fabric of HF patient care, it becomes increasingly important for modern cardiologists to become familiar with them. Hence, the objective of this review is to shed light on currently emerging devices for the treatment of HF.

Percutaneous Strategies in Structural Heart Diseases: Focus on Chronic Heart Failure

BACKGROUND

Central Illustration : Percutaneous Strategies in Structural Heart Diseases: Focus on Chronic Heart Failure Transcatheter devices for monitoring and treating advanced chronic heart failure patients. PA: pulmonary artery; LA: left atrium; AFR: atrial flow regulator; TASS: Transcatheter Atrial Shunt System; VNS: vagus nerve stimulation; BAT: baroreceptor activation therapy; RDN: renal sympathetic denervation; F: approval by the American regulatory agency (FDA); E: approval by the European regulatory agency (CE Mark).

BACKGROUND

Innovations in devices during the last decade contributed to enhanced diagnosis and treatment of patients with cardiac insufficiency. These tools progressively adapted to minimally invasive strategies with rapid, widespread use. The present article focuses on actual and future directions of device-related diagnosis and treatment of chronic heart failure.

Hemodynamic Monitoring Devices in the Management of Outpatient Heart Failure

The prevalence of heart failure continues to increase throughout the world. This rise in diagnoses corresponds with high rates of hospitalization, patient and caregiver fatigue, and ever-increasing economic costs. While numerous investigations have been undertaken in the past looking into remote monitoring or telemedicine strategies, they were unable to show an improvement in clinical outcomes with use. Invasive hemodynamic monitoring in the ambulatory setting has been an area of focus for the last several decades as a possible proactive strategy aiding in the evaluation and management of the heart failure population. Several large, randomized trials have not only shown the safety of a pulmonary artery pressure sensor in the heart failure population but have also confirmed the efficacy of pulmonary artery pressure-guided heart failure management in reducing rates of heart failure hospitalizations. Additional novel implantable devices are in various stages of development and clinical investigation and aim to further help aid in the management of this complex patient population. Future strategies are emerging and include the increased development of wearable devices as well as novel technologies to assess hemodynamics and volume status.

Heart Failure Remote Monitoring: A Review and Implementation How-To

Heart failure (HF) is a significant clinical and financial burden worldwide. Remote monitoring (RM) devices capable of identifying early physiologic changes in decompensation have the potential to reduce the HF burden. However, few trials have discussed at length the practical aspects of implementing RM in real-world clinical practice. The present paper reviews current RM devices and clinical trials, focusing on patient populations, outcomes, data collection, storage, and management, and describes the implementation of an RM device in clinical practice, providing a pragmatic and adaptable framework.

Remote Monitoring for Heart Failure Management at Home

Early telemonitoring of weights and symptoms did not decrease heart failure hospitalizations but helped identify steps toward effective monitoring programs. A signal that is accurate and actionable with response kinetics for early re-assessment is required for the treatment of patients at high risk, while signal specifications differ for surveillance of low-risk patients. Tracking of congestion with cardiac filling pressures or lung water content has shown most impact to decrease hospitalizations, while multiparameter scores from implanted rhythm devices have identified patients at increased risk. Algorithms require better personalization of signal thresholds and interventions. The COVID-19 epidemic accelerated transition to remote care away from clinics, preparing for new digital health care platforms to accommodate multiple technologies and empower patients. Addressing inequities will require bridging the digital divide and the deep gap in access to HF care teams, who will not be replaced by technology but by care teams who can embrace it.

Clinical Pathways Guided by Remotely Monitoring Cardiac Device Data: The Future of Device Heart Failure Management?

Research examining the utility of cardiac device data to manage patients with heart failure (HF) is rapidly evolving. COVID-19 has reignited interest in remote monitoring, with manufacturers each developing and testing new ways to detect acute HF episodes, risk stratify patients and support self-care. As standalone diagnostic tools, individual physiological metrics and algorithm-based systems have demonstrated utility in predicting future events, but the integration of remote monitoring data with existing clinical care pathways for device HF patients is not well described. This narrative review provides an overview of device-based HF diagnostics available to care providers in the UK, and describes the current state of play with regard to how these systems fit in with current HF management.

Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications

Substantial milestones have been attained in the field of heart failure (HF) diagnostics and therapeutics in the past several years that have translated into decreased mortality but a paradoxical increase in HF-related hospitalizations. With increasing data digitalization and access, remote monitoring via wearables and implantables have the potential to transform ambulatory care workflow, with a particular focus on reducing HF hospitalizations. Additionally, artificial intelligence and machine learning (AI/ML) have been increasingly employed at multiple stages of healthcare due to their power in assimilating and integrating multidimensional multimodal data and the creation of accurate prediction models. With the ever-increasing troves of data, the implementation of AI/ML algorithms could help improve workflow and outcomes of HF patients, especially time series data collected via remote monitoring. In this review, we sought to describe the basics of AI/ML algorithms with a focus on time series forecasting and the current state of AI/ML within the context of wearable technology in HF, followed by a discussion of the present limitations, including data integration, privacy, and challenges specific to AI/ML application within healthcare.

Novel approaches for left atrial pressure relief: Device-based monitoring and management in heart failure

The importance of the left atrium (LA) has been emphasized in recent years as the features of heart failure (HF), especially with regard to variability in patient and pathology phenotypes, continue to be uncovered. Of note, among the population with HF with preserved ejection fraction (HFpEF), pressure or size of the LA have become a target for advanced monitoring and a therapeutic approach. In the case of diastolic dysfunction or pulmonary hypertension, which are often observed in patients with HFpEF, a conventional approach with clinical symptoms and physical signs of decompensation turned out to have a poor correlation with LA pressure. Therefore, to optimize HF treatment for these populations, several devices that are applied directly to the LA have been developed. First, two LA pressure (LAP) sensors (Heart POD and V-LAP Device) were developed and may enable patient self-management remotely with LAP-guided and physician-directed style. Second, there are device-based approaches that aim to decompress the LA directly. These include: (1) interatrial shunt devices; (2) left ventricular assist devices with LA cannulation; and (3) the left atrial assist device. While these novel device-based therapies are not yet commercially available, there is expected to be a rise in the proposition and adoption of a wider range of choices for monitoring or treating LA using device-based options, based on LA dimensional reduction and optimization of the clinically significant pressure relief. Further development and evaluation are necessary to establish a more favorable management strategy for HF.

Cardio-Oncology Rehabilitation-Present and Future Perspectives

Recent advances in cancer therapy have led to increased survival rates for cancer patients, but also allowed cardiovascular complications to become increasingly evident, with more than 40% of cancer deaths now being attributed to cardiovascular diseases. Cardiotoxicity is the most concerning cardiovascular complication, one caused mainly due to anti-cancer drugs. Among the harmful mechanisms of these drugs are DNA damage, endothelial dysfunction, and oxidative stress. Cancer patients can suffer reduced cardiorespiratory fitness as a secondary effect of anti-cancer therapies, tumor burden, and deconditioning. In the general population, regular exercise can reduce the risk of cardiovascular morbidity, mortality, and cancer. Exercise-induced modifications of gene expression result in improvements of cardiovascular parameters and an increased general fitness, influencing telomere shortening, oxidative stress, vascular function, and DNA repair mechanisms. In cancer patients, exercise training is generally safe and well-tolerated; it is associated with a 10-15% improvement in cardiorespiratory fitness and can potentially counteract the adverse effects of anti-cancer therapy. It is well known that exercise programs can benefit patients with heart disease and cancer, but little research has been conducted with cardio-oncology patients. To date, there are a limited number of effective protective treatments for preventing or reversing cardiotoxicity caused by cancer therapy. Cardiac rehabilitation has the potential to mitigate cardiotoxicity based on the benefits already proven in populations suffering from either cancer or heart diseases. Additionally, the fact that cardiotoxic harm mechanisms coincide with similar mechanisms positively affected by cardiac rehabilitation makes cardiac rehabilitation an even more plausible option for cardio-oncology patients. Due to unstable functional capacity and fluctuating immunocompetence, these patients require specially tailored exercise programs designed collaboratively by cardiologists and oncologists. As the digital era is here, with the digital world and the medical world continuously intertwining, a remote, home-based cardio-oncology rehabilitation program may be a solution for this population.

A 3-Year Single Center Experience With Left Atrial Pressure Remote Monitoring: The Long and Winding Road

Background

Despite continuous advancement in the field, heart failure (HF) remains the leading cause of hospitalization among the elderly and the overall first cause of hospital readmission in developed countries. Implantable hemodynamic monitoring is being tested to anticipate the clinical exacerbation onset, potentially preventing an emergent acute decompensation. To date, only pulmonary artery pressure (PAP) sensor received the approval to be implanted in symptomatic heart failure patients with reduced ejection fraction. However, PAP's indirect estimation of left ventricular filling pressure can be inaccurate in some contexts.

Methods

The VECTOR-HF study (NCT03775161) is examining the safety, usability and performance of the V-LAP system, a latest-generation device capable of continuously monitoring left atrial pressure (LAP). In our center, five advanced HF patients have been enrolled. After confirmation of the transmitted data reliability, LAP trends and waveforms have guided therapy optimization. The aim of this work is to share clinical insights from our center preliminary experience with V-LAP application.

Results

Over a median follow-up time of 18 months, LAP–based therapy optimization managed to reduce intracardiac pressure over time and no hospital readmission occurred. This result was paralleled by an improvement in both functional capacity (6MWT distance 352.5 ± 86.2 meters at baseline to 441.2 ± 125.2 meters at last follow-up) and quality of life indicators (KCCQ overall score 63.82 ± 16.36 vs. 81.92 ± 9.63; clinical score 68.47 ± 19.48 vs. 83.70 ± 15.58).

Conclusion

Preliminary evidence from V-LAP application at our institution support a promising efficacy. However, further study is needed to confirm the technical reliability of the device and to exploit the clinical benefit of left-sided hemodynamic remote monitoring.