Remote monitoring for heart failure using implantable devices: a systematic review, meta-analysis, and meta-regression of randomized controlled trials

The Exosomes Derived From Bone Marrow Mesenchymal Stem Cells Alleviate Inflammatory Injury in Heart Failure Disease by Enhancing the Expression of KLF4

OBJECTIVE

The aim of this study is to investigate the impact and mechanism of action of exosomes derived from bone marrow mesenchymal stem cells (BMSCs) in the treatment of heart failure (HF).

METHODS

The analysis of gene sequencing data set was employed to identify potential therapeutic target proteins for HF. Subsequently, H9C2 cells and Sprague-Dawley (SD) rats were utilized as experimental models to simulate doxorubicin hydrochloride (Doxorubicin, Dox)-induced myocardial injury. This approach was employed to investigate the expression changes of inflammatory factors, including TNF-α, IL-6, IL-1β, sST2, and Gal-3, as well as the alterations in their expression following exosome treatment. Meanwhile, the mechanism of exosomes in relieving HF and inhibiting inflammation were investigated using constructed KLF 4 knockout cell lines and SD rats.

RESULTS

BMSC-derived exosomes were capable of enhancing the expression level of KLF4 in cardiomyocytes, decreasing the expression levels of myocardial damage markers BNP and hs-TnI, as well as inflammatory factors TNF-α, IL-6, IL-1β, sST2, and Gal-3, thereby alleviating HF injury. In vitro and in vivo experiments have shown that exosomal treatment decreases the expression of BNP and hs-TnI, which are indicators of myocardial injury, along with the release of inflammatory cytokines in cardiomyocytes. Concurrently, the expression of KLF4 was downregulated, leading to a significant reduction in this physiological modulation.

CONCLUSION

BMSC-derived exosomes exhibit superior therapeutic potential for HF by enhancing the expression of KLF4 and mitigating inflammation in myocardial tissue.

Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial

BACKGROUND

Heart failure (HF) is one of the most common causes of hospital readmission in the United States. These hospitalizations are often driven by insufficient self-care. Commercial mobile health (mHealth) technologies, such as consumer-grade apps and wearable devices, offer opportunities for improving HF self-care, but their efficacy remains largely underexplored.

OBJECTIVE

The objective of this study was to examine the feasibility, acceptability, safety, and preliminary efficacy of a patient-centered mHealth intervention (iCardia4HF) that integrates 3 consumer mHealth apps and devices (Heart Failure Health Storylines, Fitbit, and Withings) with a program of individually tailored SMS text messages to improve HF self-care.

METHODS

We conducted a phase 1 randomized controlled trial. Eligible patients had stage C HF, were aged ≥40 years, and had New York Heart Association (NYHA) class I, II, or III HF. Patients were randomly assigned to either iCardia4HF plus usual care or to usual care only and were observed for 8 weeks. Key feasibility measures were recruitment and retention rates. The primary efficacy outcome was change in HF self-care subscale scores (maintenance, symptom perception, and self-care management) at 8 weeks, assessed with the Self-Care Heart Failure Index (SCHFI; version 7.2). Key secondary outcomes were modifiable behaviors targeted by the intervention (health beliefs, self-efficacy, and HF knowledge), health status, and adherence to daily self-monitoring of 2 core vital signs (body weight and blood pressure).

RESULTS

A total of 27 patients were enrolled in the study and randomly assigned to iCardia4HF (n=13, 48%) or usual care (n=14, 52%). Of these 27 patients, 11 (41%) in the intervention group (iCardia4HF) and 14 (52%) in the usual care group started their assigned care and were included in the full analysis. Patients' mean age was 56 (SD 8.3) years, 44% (11/25) were female, 92% (23/25) self-reported race as Black, 76% (19/25) had NYHA class II or III HF, and 60% (15/25) had HF with reduced left ventricular ejection fraction. Participant retention, completion of study visits, and adherence to using the mHealth apps and devices for daily self-monitoring were high (>80%). At 8 weeks, the mean group differences in changes in the SCHFI subscale scores favored the intervention over the control group: maintenance (Cohen d=0.19, 95% CI -0.65 to 1.02), symptom perception (Cohen d=0.33, 95% CI -0.51 to 1.17), and self-care management (Cohen d=0.25, 95% CI -0.55 to 1.04). The greatest improvements in terms of effect size were observed in self-efficacy (Cohen d=0.68) and health beliefs about medication adherence (Cohen d=0.63) and self-monitoring adherence (Cohen d=0.94). There were no adverse events due to the intervention.

CONCLUSIONS

iCardia4HF was found to be feasible, acceptable, and safe. A larger trial with a longer follow-up duration is warranted to examine its efficacy among patients with HF.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03642275; https://clinicaltrials.gov/study/NCT03642275.

Recent advances in materials and manufacturing of implantable devices for continuous health monitoring

Implantable devices are vital in healthcare, enabling continuous monitoring, early disease detection, informed decision-making, enhanced outcomes, cost reduction, and chronic condition management. These devices provide real-time data, allowing proactive healthcare interventions, and contribute to overall improvements in patient care and quality of life. The success of implantable devices relies on the careful selection of materials and manufacturing methods. Recent materials research and manufacturing advancements have yielded implantable devices with enhanced biocompatibility, reliability, and functionality, benefiting human healthcare. This paper provides a comprehensive overview of the latest developments in implantable medical devices, emphasizing the importance of material selection and manufacturing methods, including biocompatibility, self-healing capabilities, corrosion resistance, mechanical properties, and conductivity. It explores various manufacturing techniques such as microfabrication, 3D printing, laser micromachining, electrospinning, screen printing, inkjet printing, and nanofabrication. The paper also discusses challenges and limitations in the field, including biocompatibility concerns, privacy and data security issues, and regulatory hurdles for implantable devices.

Current approaches to preventing heart failure readmissions and decompensated disease

Heart failure is a resource-intensive condition to manage and typically involves a multi-disciplinary and multi-modality approach leading to an expensive treatment paradigm. It is worth noting that hospital admissions constitute over 80% of heart failure management costs. In the past two decades, healthcare systems have developed new ways of following patients remotely to prevent them from being readmitted to the hospital. However, despite these efforts, hospital admissions have still increased. Many successful readmission reduction programs prioritize education and self-care to increase patients' awareness of their disease and promote lasting lifestyle changes. While socioeconomic factors impact success, interventions tend to be effective when medication adherence and guideline-directed medical therapy are emphasized. Monitoring intracardiac pressure can improve resource allocation efficiency and has demonstrated significant reductions in readmissions with improved quality of life in outpatient and remote settings. Data from several studies focused on remote monitoring devices strongly suggest that understanding congestion using physiological biomarkers is an effective management strategy. Since most cases of heart failure are first presented in acute hospitalization settings, immediate access to intracardiac pressure for treatment and decision-making purposes could result in substantial management improvements. However, a notable technology gap needs to be addressed to enable this at a low cost with less reliability on scarce specialist care resources. Contemporary evidence is conclusive that direct hemodynamic are the vital signs in heart failure with the highest clinical utility. Therefore, future ability to obtain these insights reliably using non-invasive methods will be a paradigm-changing technology.

Implantable Hemodynamic Monitors Improve Survival in Patients With Heart Failure and Reduced Ejection Fraction

BACKGROUND

Trials evaluating implantable hemodynamic monitors to manage patients with heart failure (HF) have shown reductions in HF hospitalizations but not mortality. Prior meta-analyses assessing mortality have been limited in construct because of an absence of patient-level data, short-term follow-up duration, and evaluation across the combined spectrum of ejection fractions.

OBJECTIVES

The purpose of this meta-analysis was to determine whether management with implantable hemodynamic monitors reduces mortality in patients with heart failure and reduced ejection fraction (HFrEF) and to confirm the effect of hemodynamic-monitoring guided management on HF hospitalization reduction reported in previous studies.

METHODS

The patient-level pooled meta-analysis used 3 randomized studies (GUIDE-HF [Hemodynamic-Guided Management of Heart Failure], CHAMPION [CardioMEMS Heart Sensor Allows Monitoring of Pressure to Improve Outcomes in NYHA Class III Heart Failure Patients], and LAPTOP-HF [Left Atrial Pressure Monitoring to Optimize Heart Failure Therapy]) of implantable hemodynamic monitors (2 measuring pulmonary artery pressures and 1 measuring left atrial pressure) to assess the effect on all-cause mortality and HF hospitalizations.

RESULTS

A total of 1,350 patients with HFrEF were included. Hemodynamic-monitoring guided management significantly reduced overall mortality with an HR of 0.75 (95% CI: 0.57-0.99); P = 0.043. HF hospitalizations were significantly reduced with an HR of 0.64 (95% CI: 0.55-0.76); P < 0.0001.

CONCLUSIONS

Management of patients with HFrEF using an implantable hemodynamic monitor significantly reduces both mortality and HF hospitalizations. The reduction in HF hospitalizations is seen early in the first year of monitoring and mortality benefits occur after the first year.

Remote monitoring for long-term physical health conditions: an evidence and gap map

Background

Remote monitoring involves the measurement of an aspect of a patient's health without that person being seen face to face. It could benefit the individual and aid the efficient provision of health services. However, remote monitoring can be used to monitor different aspects of health in different ways. This evidence map allows users to find evidence on different forms of remote monitoring for different conditions easily to support the commissioning and implementation of interventions.

Objectives

The aim of this map was to provide an overview of the volume, diversity and nature of recent systematic reviews on the effectiveness, acceptability and implementation of remote monitoring for adults with long-term physical health conditions.

Data sources

We searched MEDLINE, nine further databases and Epistemonikos for systematic reviews published between 2018 and March 2022, PROSPERO for continuing reviews, and completed citation chasing on included studies.

Review methods

(Study selection and Study appraisal): Included systematic reviews focused on adult populations with a long-term physical health condition and reported on the effectiveness, acceptability or implementation of remote monitoring. All forms of remote monitoring where data were passed to a healthcare professional as part of the intervention were included. Data were extracted on the characteristics of the remote monitoring intervention and outcomes assessed in the review. AMSTAR 2 was used to assess quality. Results were presented in an interactive evidence and gap map and summarised narratively. Stakeholder and public and patient involvement groups provided feedback throughout the project.

Results

We included 72 systematic reviews. Of these, 61 focus on the effectiveness of remote monitoring and 24 on its acceptability and/or implementation, with some reviews reporting on both. The majority contained studies from North America and Europe (38 included studies from the United Kingdom). Patients with cardiovascular disease, diabetes and respiratory conditions were the most studied populations. Data were collected predominantly using common devices such as blood pressure monitors and transmitted via applications, websites, e-mail or patient portals, feedback provided via telephone call and by nurses. In terms of outcomes, most reviews focused on physical health, mental health and well-being, health service use, acceptability or implementation. Few reviews reported on less common conditions or on the views of carers or healthcare professionals. Most reviews were of low or critically low quality.

Limitations

Many terms are used to describe remote monitoring; we searched as widely as possible but may have missed some relevant reviews. Poor reporting of remote monitoring interventions may mean some included reviews contain interventions that do not meet our definition, while relevant reviews might have been excluded. This also made the interpretation of results difficult.

Conclusions and future work

The map provides an interactive, visual representation of evidence on the effectiveness of remote monitoring and its acceptability and successful implementation. This evidence could support the commissioning and delivery of remote monitoring interventions, while the limitations and gaps could inform further research and technological development. Future reviews should follow the guidelines for conducting and reporting systematic reviews and investigate the application of remote monitoring in less common conditions.

Review registration

A protocol was registered on the OSF registry (https://doi.org/10.17605/OSF.IO/6Q7P4).

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Services and Delivery Research programme (NIHR award ref: NIHR135450) as part of a series of evidence syntheses under award NIHR130538. For more information, visit https://fundingawards.nihr.ac.uk/award/NIHR135450 and https://fundingawards.nihr.ac.uk/award/NIHR130538. The report is published in full in Health and Social Care Delivery Research; Vol. 11, No. 22. See the NIHR Funding and Awards website for further project information.

Qualitative analysis of a remote monitoring intervention for managing heart failure

BACKGROUND

Heart failure (HF) is one of the most common reasons for hospital admission and is a major cause of morbidity, mortality, and increasing health care costs. The EMPOWER study was a randomized trial that used remote monitoring technology to track patients' weight and diuretic adherence and a state-of-the-art approach derived from behavioral economics to motivate adherence to the reverse monitoring technology.

OBJECTIVE

The goal was to explore patient and clinician perceptions of the program and its impact on perceived health outcomes and better understand why some patients or clinicians did better or worse than others in response to the intervention.

APPROACH

This was a retrospective qualitative study utilizing semi-structured interviews with 43 patients and 16 clinicians to understand the trial's processes, reflecting on successes and areas for improvement for future iterations of behavioral economic interventions.

KEY RESULTS

Many patients felt supported, and they appreciated the intervention. Many also appreciated the lottery intervention, and while it was not an incentive for enrolling for many respondents, it may have increased adherence during the study. Clinicians felt that the intervention integrated well into their workflow, but the number of alerts was burdensome. Additionally, responses to alerts varied considerably by provider, perhaps because there are no professional guidelines for alerts unaccompanied by severe symptoms.

CONCLUSION

Our qualitative analysis indicates potential areas for additional exploration and consideration to design better behavioral economic interventions to improve cardiovascular health outcomes for patients with HF. Patients appreciated lottery incentives for adhering to program requirements; however, many were too far along in their disease progression to benefit from the intervention. Clinicians found the amount and frequency of electronic alerts burdensome and felt they did not improve patient outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02708654.

Remote multiparametric monitoring and management of heart failure patients through cardiac implantable electronic devices

In this review we focus on heart failure (HF) which, as known, is associated with a substantial risk of hospitalizations and adverse cardiovascular outcomes, including death. In recent years, systems to monitor cardiac function and patient parameters have been developed with the aim to detect subclinical pathophysiological changes that precede worsening HF. Several patient-specific parameters can be remotely monitored through cardiac implantable electronic devices (CIED) and can be combined in multiparametric scores predicting patients' risk of worsening HF with good sensitivity and moderate specificity. Early patient management at the time of pre-clinical alerts remotely transmitted by CIEDs to physicians might prevent hospitalizations. However, it is not clear yet which is the best diagnostic pathway for HF patients after a CIED alert, which kind of medications should be changed or escalated, and in which case in-hospital visits or in-hospital admissions are required. Finally, the specific role of healthcare professionals involved in HF patient management under remote monitoring is still matter of definition. We analyzed recent data on multiparametric monitoring of patients with HF through CIEDs. We provided practical insights on how to timely manage CIED alarms with the aim to prevent worsening HF. We also discussed the role of biomarkers and thoracic echo in this context, and potential organizational models including multidisciplinary teams for remote care of HF patients with CIEDs.

Meta-Analysis Comparing Outcomes of Remote Hemodynamic Assessment Versus Standard Care in Patients With Heart Failure

In patients with congestive heart failure (CHF), remote hemodynamic monitoring can reduce heart failure exacerbation and mortality. In this study, we compared the effectiveness of remote hemodynamic monitoring with that of standard care in the management of patients with CHF. The remote monitoring group included 7,733 patients, and the control group included 7,567 patients. Chi-square test and I-square statistics were used to assess heterogeneity. Risk ratios (RRs) were calculated using fixed-effects and random-effects methods to determine the risk of all-cause hospitalization and CHF-related hospitalization (primary outcomes) and all-cause mortality and device outcomes (secondary outcomes). Pooled findings indicated a 7% lower risk of all-cause hospitalization in the remote monitoring group than that in the control group (RR 0.93, 95% confidence interval [CI] 0.89 to 0.98, p = 0.004). The results also revealed a 32% lower risk of CHF-related hospitalization in the remote monitoring group than that in the control group (RR 0.68, 95% CI 0.65 to 0.71, p <0.001). No statistically significant differences were noted between the groups in terms of all-cause mortality (RR 0.97, 95% CI 0.87 to 1.07, p = 0.53) and device outcomes (RR 1.23 95% CI 0.92 to 1.65, p = 0.16). These results provided evidence regarding the comparable effectiveness of remote CHF monitoring and routine care. The current evidence is insufficient to introduce remote hemodynamic CHF monitoring; however, our results suggest that the integration of telemonitoring systems with routine medical management may improve heart failure care.

Remote Monitoring of Cardiac Implantable Electronic Devices: What is the Evidence?

PURPOSE OF REVIEW

This review offers an overview of the evidence in diagnostic and therapeutic applications of remote monitoring implantable devices.

RECENT FINDINGS

Remote monitoring of cardiac implantable devices has become more and more popular in recent years as healthcare is moving towards a more patient centralized system. For heart failure patients with an ICD or pacemaker, there is controversial evidence regarding improvements in the clinical outcome, e.g., reduction of hospitalization rates or overall mortality. New developments as hemodynamic remote monitoring via measurement of the pulmonary artery pressure are promising technical achievements showing encouraging results. In cardiac remote monitoring of syncope and arrhythmias, implantable loop recorder plays an important role in diagnostic algorithms. Although there is controversial evidence according to remote monitoring of implantable devices, its use is rapidly expanding, giving healthcare providers the opportunity to react promptly to worsening of their patients. Adequate evaluation of the data created by remote monitoring systems remains an unsolved challenge of contemporary healthcare services.

Assessment of Volume Status in Hospitalized Patients With Chronic Heart Failure

Assessment of volume status in hospitalized patients with heart failure is a critically important diagnostic skill that clinicians utilize frequently. However, accurate assessment is challenging and there is often significant inter-provider disagreement. This review serves as an appraisal of current methods of volume assessment amongst different categories of evaluation including patient history, physical exam, laboratory analysis, imaging, and invasive procedures. Within each category, this review highlights methods that are particularly sensitive or specific, or those that carry impactful positive or negative likelihood ratios. Utilization of the information that this review provides will allow clinicians to determine volume status of hospitalized heart failure patients more accurately and more precisely in order to provide appropriate and effective therapies.

Qualitative Analysis of a Remote Monitoring Intervention for Managing Heart Failure

Background : Heart failure (HF) is one of the most common reasons for hospital admission and is a major cause of morbidity, mortality, and increasing health care costs. The EMPOWER study was a randomized trial that used remote monitoring technology to track patients' weight and diuretic adherence and a state-of-the-art approach derived from behavioral economics to motivate adherence to the reverse monitoring technology. Objective : The goal was to explore patient and clinician perceptions of the program and its impact on health outcomes and better understand why some patients/clinicians did better/worse than others in response to the intervention. Approach : This was a retrospective qualitative study to understand the trial's processes, reflecting on successes and areas for improvement for future iterations of behavioral economic interventions. Key Results: Many patients felt supported, and they appreciated the intervention. Many also appreciated the lottery intervention, and while it was not an incentive for enrolling for many respondents, it may have increased adherence during the study. Clinicians felt that the intervention integrated well into their workflow, but the number of alerts was burdensome. Additionally, responses to alerts varied considerably by provider, perhaps because there are no professional guidelines for alerts unaccompanied by severe symptoms. Conclusion : Those interviews offer insights into the potential reasons for the study's null result and opportunities for improvements in the future. Trial Registration: ClinicalTrials.gov Identifier: NCT02708654.

Device-based remote monitoring strategies for congestion-guided management of patients with heart failure: a systematic review and meta-analysis

AIMS

Pre-clinical congestion markers of worsening heart failure (HF) can be monitored by devices and may support the management of patients with HF. We aimed to assess whether congestion-guided HF management according to device-based remote monitoring strategies is more effective than standard therapy.

METHODS AND RESULTS

A comprehensive literature research for randomized controlled trials (RCTs) comparing device-based remote monitoring strategies for congestion-guided HF management versus standard therapy was performed on PubMed, Embase, and CENTRAL databases. Incidence rate ratios (IRRs) and associated 95% confidence intervals (CIs) were calculated using the Poisson regression model with random study effects. The primary outcome was a composite of all-cause death and HF hospitalizations. Secondary endpoints included the individual components of the primary outcome. A total of 4347 patients from eight RCTs were included. Findings varied according to the type of parameters monitored. Compared with standard therapy, haemodynamic-guided strategy (4 trials, 2224 patients, 12-month follow-up) reduced the risk of the primary composite outcome (IRR 0.79, 95% CI 0.70-0.89) and HF hospitalizations (IRR 0.76, 95% CI 0.67-0.86), without a significant impact on all-cause death (IRR 0.93, 95% CI 0.72-1.21). In contrast, impedance-guided strategy (4 trials, 2123 patients, 19-month follow-up) did not provide significant benefits.

CONCLUSION

Haemodynamic-guided HF management is associated with better clinical outcomes as compared to standard clinical care.

Current status of reimbursement practices for remote monitoring of cardiac implantable electrical devices across Europe

Remote monitoring (RM) of cardiac implantable electrical devices (CIEDs) is currently proposed as a standard of care for CIEDs follow-up, as recommended by major cardiology societies worldwide. By detecting a series of relevant device and patient-related parameters, RM is a valuable option for early detection of CIEDs' technical issues, as well as changes in parameters related to cardio-respiratory functions. Moreover, RM may allow longer spacing between in-office follow-ups and better organization of in-hospital resources. Despite these potential advantages, resulting in improved patient safety, we are still far from a widespread diffusion of RM across Europe. Reimbursement policies across Europe still show an important heterogeneity and have been considered as an important barrier to full implementation of RM as a standard for the follow-up of all the patients with pacemakers, defibrillators, devices for cardiac resynchronization, or implantable loop recorders. Indeed, in many countries, there are still inertia and unresponsiveness to the request for widespread implementation of RM for CIEDs, although an improvement was found in some countries as compared to years ago, related to the provision of some form of reimbursement. As a matter of fact, the COVID-19 pandemic has promoted an increased use of digital health for connecting physicians to patients, even if digital literacy may be a limit for the widespread implementation of telemedicine. CIEDs have the advantage of making possible RM with an already defined organization and reliable systems for data transmissions that can be easily implemented as a standard of care for present and future cardiology practice.

Letter to the editor to update the article "Remote monitoring for heart failure using implantable devices: a systematic review, meta-analysis, and meta-regression of randomized controlled trials"

Our recently published systematic review and meta-analysis of heart failure (HF) remote monitoring using implantable devices (Hajduczok et al. in HF Reviews 1-20, 1) has been updated to reflected new data from the GUIDE-HF trial (Lindenfeld et al. in Lancet 398(10304):991-1001, 2). Data from randomized controlled trials (RCTs) was assessed to determine the effectiveness of implantable remote monitoring on the improvement of outcomes in HF patients. With the inclusion of the data from 1000 patients followed for 12 months in GUIDE-HF, our conclusions remain unchanged: Compared to standard of care, remote monitoring using implantable devices did not reduce mortality, CV, or HF hospitalizations. However, right ventricular/pulmonary pressure monitoring may reduce HF hospitalizations.