Hemodynamic-GUIDEd management of Heart Failure (GUIDE-HF)

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.

Real-time pulmonary artery pressure monitoring in heart failure patients: an updated cost-effectiveness analysis

AIMS

Previous cost-effectiveness analysis suggests that CardioMEMS is cost-effective compared with usual care for patients with persistent New York Heart Association class III symptoms and at least one heart failure (HF) hospitalization within 12 months. The aim of the paper is to perform an update of the cost-effectiveness analysis of CardioMEMS using the most recent data from the published literature.

METHODS AND RESULTS

A Microsoft Excel Markov model from a previous UK cost-effectiveness study of CardioMEMS was updated using the clinical effectiveness of pulmonary artery pressure (PAP)-guided treatment derived from the pivotal trials. The model included the device costs (and the implantation procedure and related complications), costs of remote monitoring, costs of HF-related hospitalizations, and costs of usual care. Quality-adjusted life years (QALYs) were estimated based on utilities from pivotal trials and published literature. Cost-effectiveness results were estimated as incremental cost per QALY gained of CardioMEMS compared with usual care. Scenario analyses were also performed using data from real-world studies that showed a significant decrease in HF-related hospitalizations. In the base case analysis over a time horizon of 10 years, PAP-guided HF therapy increased cost compared with usual care by £6337 (i.e. from £22 770 in usual care to £29 107 in PAP-guided HF therapy) and the QALYs per patient for usual care and PAP-guided patients were 2.62 and 2.94, respectively, reflecting an increase of 0.32 QALYs with PAP-guided treatment. The resultant incremental cost-effectiveness ratio (ICER), the ratio between incremental costs and the QALYs, is estimated at £19 761/QALY. Scenario analyses suggest that the ICER for CardioMEMS can range from being dominant to £27 910/QALY. Probabilistic sensitivity analyses suggested that PAP-guided HF therapy has 81.9% probability of being cost-effective at a threshold of £30 000/QALY.

CONCLUSIONS

Our model suggests that CardioMEMS is likely to be cost-effective in the United Kingdom, at the currently considered thresholds of £20 000-30 000/QALY.

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.

Bedside Clinician's Guide to Pulmonary Artery Catheters

BACKGROUND

Pulmonary artery catheters provide important information about cardiac function, mixed venous oxygenation, and right-sided pressures and potentially provide temporary pacing ability.

OBJECTIVE

To provide bedside clinicians with guidance for techniques to insert right heart monitors and devices, describe risk factors for difficult insertion and contraindications to placement, and provide updates on new technologies that may be encountered in the intensive care unit.

METHODS

An extensive literature review was performed. Experienced clinicians were asked to identify topics not addressed in the literature.

RESULTS

Advanced imaging techniques such as transesophageal echocardiography or fluoroscopy can supplement traditional pressure waveform-guided insertion when needed, and several other techniques can be used to facilitate passage into the pulmonary artery. Caution is warranted when attempting insertion in patients with right-sided masses or preexisting conduction abnormalities. New technologies include a pacing catheter that anchors to the right ventricle and a remote monitoring device that is implanted in the pulmonary artery.

DISCUSSION

Bedside clinicians should be aware of risk factors such as atrial fibrillation with dilated atria, decreased ventricular function, pulmonary hypertension, and right-sided structural abnormalities that can make pulmonary artery catheter insertion challenging. Clinicians should be familiar with advanced techniques and imaging options to facilitate placement.

CONCLUSION

The overall risk of serious complications with right heart catheter placement and manipulation is low and often outweighed by its benefits, specifically pressure monitoring and pacing.

Hemodynamic-Guided Heart Failure Management in Patients With Either Prior HF Hospitalization or Elevated Natriuretic Peptides

BACKGROUND

In patients with symptomatic heart failure (HF) and previous heart failure hospitalization (HFH), hemodynamic-guided HF management using a wireless pulmonary artery pressure (PAP) sensor reduces HFH, but it is unclear whether these benefits extend to patients who have not been recently hospitalized but remain at risk because of elevated natriuretic peptides (NPs).

OBJECTIVES

This study assessed the efficacy and safety of hemodynamic-guided HF management in patients with elevated NPs but no recent HFH.

METHODS

In the GUIDE-HF (Hemodynamic-Guided Management of Heart Failure) trial, 1,000 patients with New York Heart Association (NYHA) functional class II to IV HF and either previous HFH or elevated NP levels were randomly assigned to hemodynamic-guided HF management or usual care. The authors evaluated the primary study composite of all-cause mortality and total HF events at 12 months according to treatment assignment and enrollment stratum (HFH vs elevated NPs) by using Cox proportional hazards models.

RESULTS

Of 999 evaluable patients, 557 were enrolled on the basis of a previous HFH and 442 on the basis of elevated NPs alone. Those patients enrolled by NP criteria were older and more commonly White persons with lower body mass index, lower NYHA class, less diabetes, more atrial fibrillation, and lower baseline PAP. Event rates were lower among those patients in the NP group for both the full follow-up (40.9 per 100 patient-years vs 82.0 per 100 patient-years) and the pre-COVID-19 analysis (43.6 per 100 patient-years vs 88.0 per 100 patient-years). The effects of hemodynamic monitoring were consistent across enrollment strata for the primary endpoint over the full study duration (interaction P = 0.71) and the pre-COVID-19 analysis (interaction P = 0.58).

CONCLUSIONS

Consistent effects of hemodynamic-guided HF management across enrollment strata in GUIDE-HF support consideration of hemodynamic monitoring in the expanded group of patients with chronic HF and elevated NPs without recent HFH. (Hemodynamic-Guided Management of Heart Failure [GUIDE-HF]; NCT03387813).

Implantable Cardiovascular Devices: Current and Emerging Technologies for Remote Heart Failure Monitoring

Heart failure remains a substantial socioeconomic burden to our health care system. With the aging of the population, the incidence is expected to rise in the ensuing years. Standard heart failure management strategies have failed to reduce hospitalizations and mortality. In patients with heart failure, remote hemodynamic monitoring with implantable devices provides essential data, which can be used in unison with standard patient management to reduce heart failure hospitalizations. This review will chronicle the important clinical trials of various implantable devices and describe the emerging technologies in remote heart failure management. Cardiovascular implantable electronic devices, namely implanted cardioverter-defibrillator and cardiac resynchronization therapy devices with defibrillator, have evolved beyond sole resynchronization and currently can deliver real-time cardiac hemodynamics. Clinical data regarding hemodynamic monitoring with implanted cardioverter-defibrillator and cardiac resynchronization therapy devices with defibrillator have not consistently demonstrated a reduction in heart failure or mortality benefit. However, there is promise in the future with the application of multiparameter diagnostic algorithms with these devices. The most efficacious implantable device has been the pulmonary artery pressure sensor, CardioMEMS. This device has been proven to be safe and shown to reduce heart failure hospitalizations. Moreover, multiple newly developed devices are currently under investigation after successful first-in-man studies.

Recent Advances in Remote Pulmonary Artery Pressure Monitoring for Patients with Chronic Heart Failure: Current Evidence and Future Perspectives

Chronic heart failure (HF) is associated with high hospital admission rates and has an enormous burden on hospital resources worldwide. Ideally, detection of worsening HF in an early phase would allow physicians to intervene timely and proactively in order to prevent HF-related hospitalizations, a concept better known as remote hemodynamic monitoring. After years of research, remote monitoring of pulmonary artery pressures (PAP) has emerged as the most successful technique for ambulatory hemodynamic monitoring in HF patients to date. Currently, the CardioMEMS and Cordella HF systems have been tested for pulmonary artery pressure monitoring and the body of evidence has been growing rapidly over the past years. However, several ongoing studies are aiming to fill the gap in evidence that is still very clinically relevant, especially for the European setting. In this comprehensive review, we provide an overview of all available evidence for PAP monitoring as well as a detailed discussion of currently ongoing studies and future perspectives for this promising technique that is likely to impact HF care worldwide.

Sustained Reduction in Pulmonary Artery Pressures and Hospitalizations During 2 Years of Ambulatory Monitoring

BACKGROUND

Therapy guided by pulmonary artery (PA) pressure monitoring reduces PA pressures and heart failure hospitalizations (HFH) during the first year, but the durability of efficacy and safety through 2 years is not known.

METHODS AND RESULTS

The CardioMEMS Post-Approval Study investigated whether benefit and safety were generalized and sustained. Enrollment at 104 centers in the United States included 1200 patients with NYHA Class III symptoms on recommended HF therapies with prior HFH. Therapy was adjusted toward PA diastolic pressure 8-20 mmHg. Intervention frequency and PA pressure reduction were most intense during first 90 days, with sustained reduction of PA diastolic pressure from baseline 24.7 mmHg to 21.0 at 1 year and 20.8 at 2 years for all patients. Patients completing two year follow-up (n = 710) showed similar 2-year reduction (23.9 to 20.8 mmHg), with reduction in PA mean pressure (33.7 to 29.4 mmHg) in patients with reduced left ventricular ejection. The HFH rate was 1.25 events/patient/year prior to sensor implant, 0.54 at 1 year, and 0.37 at 2 years, with 59% of patients free of HFH during follow-up.

CONCLUSIONS

Reduction in PA pressures and hospitalizations were early and sustained during 2 years of PA pressure-guided management, with no signal of safety concerns regarding the implanted sensor.

Reduction in 90 day readmission rates utilizing ambulatory pulmonary pressure monitoring

AIMS

In the CHAMPION (CardioMEMS Heart Sensor Allows Monitoring of Pressure to Improve Outcomes in New York Heart Association Functional Class III Heart Failure Patients) trial, heart failure hospitalization (HFH) rates were lower in patients with ambulatory pulmonary artery pressure (PAP) monitoring guidance. We investigated the effect of ambulatory haemodynamic monitoring on 90 day readmission rates after HFH.

METHODS AND RESULTS

We retrospectively analysed patients across the Advocate Aurora Health hospital network who had undergone PAP sensor implantation between 1 October 2015 and 31 October 2019. Patients with a ventricular assist device (VAD) or transplant prior to implantation were excluded. Rates of total HFH and 30 and 90 day all-cause readmission up to 12 months after implantation were collected, while censoring for an endpoint of heart transplantation, VAD, or death. Event rates were compared using Poisson regression. Of 459 patients included, there were 404 HFHs before and 179 after implantation. Compared with pre-implantation, 30 day all-cause readmission [incidence rate ratio (IRR): 0.55 (0.39-0.77), P = 0.0006] and 90 day all cause readmission rates were lower post-implantation [IRR: 0.45 (0.35-0.58), P < 0.0001]. The effect of PAP sensor implantation on 90 day all-cause readmission incidence rates was consistent across multiple subgroups.

CONCLUSIONS

Across a large hospital network, ambulatory haemodynamic monitoring was associated with lower HFH rates, as well as 30 and 90 day all-cause readmission rates. This supports the utility of ambulatory PAP monitoring to improve HF management in the era of value-based medicine.

Decongestion Models and Metrics in Acute Heart Failure: ESCAPE Data in the Age of the Implantable Cardiac Pressure Monitor

The United States Food and Drug Administration restricts the use of implantable cardiac pressure monitors to patients with New York Heart Association (NYHA) class III heart failure (HF). We investigated whether single-pressure monitoring could predict survival in HF patients as part of a model constructed using data from the ESCAPE (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness) trial. We validated survival models in 204 patients, using all-cause 180-day mortality. Two levels of model complexity were tested: 1) a simplified 1-pressure model based on pulmonary artery mean pressure ([PAM]1P) (information obtainable from an implanted intracardiac monitor alone), and 2) a pair of 5-variable risk score models based on right atrial pressure (RAP) + pulmonary capillary wedge pressure (PCWP) ([RAP+PCWP]5V) and on RAP + PAM ([RAP+PAM]5V). The more complex models used 5 dichotomous variables: a congestion index above a certain threshold value, baseline systolic blood pressure of <100 mmHg, baseline blood urea nitrogen level of ≥ 34 mg/dL, need for cardiopulmonary resuscitation or mechanical ventilation, and posttreatment NYHA class IV status. The congestion index was defined as posttreatment RAP+PCWP or posttreatment RAP+PAM, with congestion thresholds of 34 and 42 mmHg, respectively (median pulmonary catheter indwelling time, 1.9 d). The 5-variable models predicted survival with areas under the curve of 0.868 for the (RAP+PCWP)5V model and 0.827 for the (RAP+PAM)5V model, whereas the 1-pressure model predicted survival with an area under the curve of 0.718. We conclude that decongestion as determined by hemodynamic assessment predicts survival in HF patients and that it may be the final pathway for treatment benefit despite improvements in pharmacologic intervention since the ESCAPE trial.

Catheter-Based Management of Heart Failure: Pathophysiology and Contemporary Data

Device therapy for severe heart failure (HF) has shown efficacy both in acute and chronic settings. Recent percutaneous device innovations have pioneered a field known as interventional HF, providing clinicians with a variety of options for acute decompensated HF that are centered on nonsurgical mechanical circulatory support. Other structural-based therapies are aimed at the pathophysiology of chronic HF and target the underlying etiologies such as functional mitral regurgitation, ischemic cardiomyopathy, and increased neurohumoral activity. Remote hemodynamic monitoring devices have also been shown to be efficacious for the ambulatory management of HF. We review the current data on devices and investigational therapies for HF management whereby pharmacotherapy falls short.

Telemedical Monitoring Based on Implantable Devices-the Evolution Beyond the CardioMEMS™ Technology

Purpose of the Review

We aimed to provide an overview of telemedical monitoring and its impact on outcomes among heart failure (HF) patients.

Recent Findings

Most HF readmissions may be prevented if clinical parameters are strictly controlled via telemedical monitoring. Predictive algorithms for patients with cardiovascular implantable electronic devices (e.g., Triage-HF Plus by Medtronic or HeartLogic by Boston Scientific) were developed to identify patients at significantly increased risk of HF events. However, randomized control trial-based data are heterogeneous regarding the advantages of telemedical monitoring in HF patients. The likelihood of adverse clinical outcomes increases when pulmonary artery pressure (PAP) rises, usually days to weeks before clinical manifestations of HF. A wireless monitoring system (CardioMEMS™) detecting changes in PAP was proposed for HF patients. CardioMEMS™ transmits data to the healthcare provider and allows to institute timely intensification of HF therapies. CardioMEMS™-guided pharmacotherapy reduced a risk of HF-related hospitalization (hazard ratio [HR]: 0.72; 95% confidence interval (CI) 0.60–0–0.85; p < 0.01).

Summary

Relevant developments and innovations of telemedical care may improve clinical outcomes among HF patients. The use of CardioMEMS™ was found to be safe and cost-effective by reducing the rates of HF hospitalizations.

2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: Developed by the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). With the special contribution of the Heart Failure Association (HFA) of the ESC

Document Reviewers: Rudolf A. de Boer (CPG Review Coordinator) (Netherlands), P. Christian Schulze (CPG Review Coordinator) (Germany), Magdy Abdelhamid (Egypt), Victor Aboyans (France), Stamatis Adamopoulos (Greece), Stefan D. Anker (Germany), Elena Arbelo (Spain), Riccardo Asteggiano (Italy), Johann Bauersachs (Germany), Antoni Bayes-Genis (Spain), Michael A. Borger (Germany), Werner Budts (Belgium), Maja Cikes (Croatia), Kevin Damman (Netherlands), Victoria Delgado (Netherlands), Paul Dendale (Belgium), Polychronis Dilaveris (Greece), Heinz Drexel (Austria), Justin Ezekowitz (Canada), Volkmar Falk (Germany), Laurent Fauchier (France), Gerasimos Filippatos (Greece), Alan Fraser (United Kingdom), Norbert Frey (Germany), Chris P. Gale (United Kingdom), Finn Gustafsson (Denmark), Julie Harris (United Kingdom), Bernard Iung (France), Stefan Janssens (Belgium), Mariell Jessup (United States of America), Aleksandra Konradi (Russia), Dipak Kotecha (United Kingdom), Ekaterini Lambrinou (Cyprus), Patrizio Lancellotti (Belgium), Ulf Landmesser (Germany), Christophe Leclercq (France), Basil S. Lewis (Israel), Francisco Leyva (United Kingdom), AleVs Linhart (Czech Republic), Maja-Lisa Løchen (Norway), Lars H. Lund (Sweden), Donna Mancini (United States of America), Josep Masip (Spain), Davor Milicic (Croatia), Christian Mueller (Switzerland), Holger Nef (Germany), Jens-Cosedis Nielsen (Denmark), Lis Neubeck (United Kingdom), Michel Noutsias (Germany), Steffen E. Petersen (United Kingdom), Anna Sonia Petronio (Italy), Piotr Ponikowski (Poland), Eva Prescott (Denmark), Amina Rakisheva (Kazakhstan), Dimitrios J. Richter (Greece), Evgeny Schlyakhto (Russia), Petar Seferovic (Serbia), Michele Senni (Italy), Marta Sitges (Spain), Miguel Sousa-Uva (Portugal), Carlo G. Tocchetti (Italy), Rhian M. Touyz (United Kingdom), Carsten Tschoepe (Germany), Johannes Waltenberger (Germany/Switzerland) All experts involved in the development of these guidelines have submitted declarations of interest. These have been compiled in a report and published in a supplementary document simultaneously to the guidelines. The report is also available on the ESC website www.escardio.org/guidelines For the Supplementary Data which include background information and detailed discussion of the data that have provided the basis for the guidelines see European Heart Journal online.

OUP accepted manuscript

Aims

During the coronavirus disease 2019 (COVID-19) pandemic, important changes in heart failure (HF) event rates have been widely reported, but few data address potential causes for these changes; several possibilities were examined in the GUIDE-HF study.

Methods and results

From 15 March 2018 to 20 December 2019, patients were randomized to haemodynamic-guided management (treatment) vs. control for 12 months, with a primary endpoint of all-cause mortality plus HF events. Pre-COVID-19, the primary endpoint rate was 0.553 vs. 0.682 events/patient-year in the treatment vs. control group [hazard ratio (HR) 0.81, P = 0.049]. Treatment difference was no longer evident during COVID-19 (HR 1.11, P = 0.526), with a 21% decrease in the control group (0.536 events/patient-year) and no change in the treatment group (0.597 events/patient-year). Data reflecting provider-, disease-, and patient-dependent factors that might change the primary endpoint rate during COVID-19 were examined. Subject contact frequency was similar in the treatment vs. control group before and during COVID-19. During COVID-19, the monthly rate of medication changes fell 19.2% in the treatment vs. 10.7% in the control group to levels not different between groups (P = 0.362). COVID-19 was infrequent and not different between groups. Pulmonary artery pressure area under the curve decreased −98 mmHg-days in the treatment group vs. −100 mmHg-days in the controls (P = 0.867). Patient compliance with the study protocol was maintained during COVID-19 in both groups.

Conclusion

During COVID-19, the primary event rate decreased in the controls and remained low in the treatment group, resulting in an effacement of group differences that were present pre-COVID-19. These outcomes did not result from changes in provider- or disease-dependent factors; pulmonary artery pressure decreased despite fewer medication changes, suggesting that patient-dependent factors played an important role in these outcomes.

Clinical Trials.gov: NCT03387813

Key questions

What factors explain the loss of treatment effect and reduction in heart failure events during COVID-19?

Key findings

The treatment effect change was not due to COVID-19-related events. Patient management was sustained but not intensified during COVID-19. Patient status improved during COVID-19 and pulmonary artery pressure reduced in both groups.

Take home message

Patient behaviour probably improved during COVID-19, given that patient status and pulmonary artery pressure improved during COVID-19 despite fewer medication changes and without increased contact from providers.

Remote Cardiac Monitoring in Patients With Heart Failure: A Review

Importance

Heart failure (HF) is often characterized by an insidious disease course leading to frequent rehospitalizations and a high use of ambulatory care. Remote cardiac monitoring is a promising approach to detect worsening HF early and intervene prior to an overt decompensation.

Observations

Recently, a multitude of novel technologies for remote cardiac monitoring (RCM) in patients with HF have been developed and are undergoing clinical trials. This development has been accelerated by the COVID-19 pandemic.

Conclusions and Relevance

This review summarizes the major clinical trials on RCM in patients with HF and present the most recent developments in noninvasive and invasive RCM technologies.

CardioMEMS™: a tool for remote hemodynamic monitoring of chronic heart failure patients

Remote monitoring is becoming increasingly important for management of chronic heart failure patients. Recently, hemodynamic monitoring by measuring intracardiac filling pressures has been gaining attention. It is believed that hemodynamic congestion precedes clinical congestion by several weeks and that remote hemodynamic monitoring therefore enables clinicians to intervene in an early stage and prevent heart failure hospitalizations. The CardioMEMS HF system (Abbott, CA, USA) is a sensor capable of measuring pulmonary artery pressures as a surrogate of left ventricular filling pressures. Clinical evidence for CardioMEMS has been convincing in terms of efficacy and safety. This article provides detailed information on the CardioMEMS HF system and summarizes all available evidence of this promising technique.

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

In heart failure (HF) patients, remote monitoring using implantable devices may be used to predict and reduce HF exacerbations and mortality. Data from randomized controlled trials (RCTs) was assessed to determine the effectiveness of implantable remote monitoring on the improvement of outcomes in HF patients. A systematic review and meta-analysis of RCTs testing remote monitoring versus standard of care for management of HF patients was performed. Primary endpoints were all-cause mortality and a composite of cardiovascular (CV) and HF hospitalizations. Rate ratios (RRs) and 95% confidence intervals (CI) were calculated. A secondary analysis tested for heterogeneity of treatment effect (HTE) comparing right ventricular/pulmonary pressure monitoring versus impedance-based monitoring on hospitalization. A regression analysis was performed using the mean follow-up time as the moderator on each primary endpoint. Eleven RCTs (n = 6196) were identified with a mean follow-up of 21.9 months. The mean age and reported ejection fraction were 64.1 years and 27.7%, respectively. Remote monitoring did not reduce mortality (RR 0.89 [95% CI 0.77, 1.03]) or the composite of CV and HF hospitalizations (RR 0.98 [0.81, 1.19]). Subgroup analysis found significant HTE for hospitalizations between those studies that used right ventricular/pulmonary pressure monitoring versus impedance-based monitoring (I² = 87.1%, chi² = 7.75, p = 0.005). Regression analysis found no relationship between the log rate ratio of remote monitoring’s effect on mortality, CV hospitalization or HF hospitalization, and mean follow-up time. 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, which will need to be explored in future studies.

Right Heart Catheterization in Patients with Advanced Heart Failure: When to Perform? How to Interpret?

Right heart catheterization is an established cornerstone of advanced heart failure management, as a clear understanding of the patient's hemodynamic status offers insight into diagnosis, prognosis, and management. In this review, the authors will describe the role of right heart catheterization in the diagnosis and management of shock, in the context of left ventricular assist devices, in the assessment of heart transplant candidacy, and also explore future directions of implantable monitoring devices for pulmonary artery and left atrial pressure monitoring.

Haemodynamic-guided management of heart failure (GUIDE-HF): a randomised controlled trial

BACKGROUND

Previous studies have suggested that haemodynamic-guided management using an implantable pulmonary artery pressure monitor reduces heart failure hospitalisations in patients with moderately symptomatic (New York Heart Association [NYHA] functional class III) chronic heart failure and a hospitalisation in the past year, irrespective of ejection fraction. It is unclear if these benefits extend to patients with mild (NYHA functional class II) or severe (NYHA functional class IV) symptoms of heart failure or to patients with elevated natriuretic peptides without a recent heart failure hospitalisation. This trial was designed to evaluate whether haemodynamic-guided management using remote pulmonary artery pressure monitoring could reduce heart failure events and mortality in patients with heart failure across the spectrum of symptom severity (NYHA funational class II-IV), including those with elevated natriuretic peptides but without a recent heart failure hospitalisation.

METHODS

The randomised arm of the haemodynamic-GUIDEed management of Heart Failure (GUIDE-HF) trial was a multicentre, single-blind study at 118 centres in the USA and Canada. Following successful implantation of a pulmonary artery pressure monitor, patients with all ejection fractions, NYHA functional class II-IV chronic heart failure, and either a recent heart failure hospitalisation or elevated natriuretic peptides (based on a-priori thresholds) were randomly assigned (1:1) to either haemodynamic-guided heart failure management based on pulmonary artery pressure or a usual care control group. Patients were masked to their study group assignment. Investigators were aware of treatment assignment but did not have access to pulmonary artery pressure data for control patients. The primary endpoint was a composite of all-cause mortality and total heart failure events (heart failure hospitalisations and urgent heart failure hospital visits) at 12 months assessed in all randomly assigned patients. Safety was assessed in all patients. A pre-COVID-19 impact analysis for the primary and secondary outcomes was prespecified. This study is registered with ClinicalTrials.gov, NCT03387813.

FINDINGS

Between March 15, 2018, and Dec 20, 2019, 1022 patients were enrolled, with 1000 patients implanted successfully, and follow-up was completed on Jan 8, 2021. There were 253 primary endpoint events (0·563 per patient-year) among 497 patients in the haemodynamic-guided management group (treatment group) and 289 (0·640 per patient-year) in 503 patients in the control group (hazard ratio [HR] 0·88, 95% CI 0·74-1·05; p=0·16). A prespecified COVID-19 sensitivity analysis using a time-dependent variable to compare events before COVID-19 and during the pandemic suggested a treatment interaction (p_interaction=0·11) due to a change in the primary endpoint event rate during the pandemic phase of the trial, warranting a pre-COVID-19 impact analysis. In the pre-COVID-19 impact analysis, there were 177 primary events (0·553 per patient-year) in the intervention group and 224 events (0·682 per patient-year) in the control group (HR 0·81, 95% CI 0·66-1·00; p=0·049). This difference in primary events almost disappeared during COVID-19, with a 21% decrease in the control group (0·536 per patient-year) relative to pre-COVID-19, virtually no change in the treatment group (0·597 per patient-year), and no difference between groups (HR 1·11, 95% CI 0·80-1·55; p=0·53). The cumulative incidence of heart failure events was not reduced by haemodynamic-guided management (0·85, 0·70-1·03; p=0·096) in the overall study analysis but was significantly decreased in the pre-COVID-19 impact analysis (0·76, 0·61-0·95; p=0·014). 1014 (99%) of 1022 patients had freedom from device or system-related complications.

INTERPRETATION

Haemodynamic-guided management of heart failure did not result in a lower composite endpoint rate of mortality and total heart failure events compared with the control group in the overall study analysis. However, a pre-COVID-19 impact analysis indicated a possible benefit of haemodynamic-guided management on the primary outcome in the pre-COVID-19 period, primarily driven by a lower heart failure hospitalisation rate compared with the control group.

FUNDING

Abbott.

[Remote monitoring of patients with heart failure in real clinical practice]

Prevalence of chronic heart failure (CHF) is continuously growing and is associated with increased incidence of hospitalizations, morbidity and mortality. Furthermore, the increase in the number of rehospitalizations results in greater expenses and worsening of quality of life. In order to decrease the number of unscheduled hospitalizations and the death rate, the outpatient care should be improved, which can be achieved by using telemedical technologies. The aim of this review was collection and analysis of currently available information about the use of telemonitoring for patients with CHF. A systematic search and analysis of reports published from 2010 through 2020 in Web of Science, Scopus, and PubMed/MEDLINE databases was performed.

The effect of transcatheter aortic valve implantation on pulmonary artery pressures in a patient suffering from chronic heart failure: a case report

BACKGROUND

Pulmonary hypertension (PH) is most commonly caused by left-sided heart disease and may negatively affect the long-term prognosis and quality of life of patients with chronic heart failure (CHF). CardioMEMS (Micro-Electro-Mechanical-System) allows physicians to monitor pulmonary artery (PA) pressures remotely and optimize heart failure treatment based on haemodynamic parameters, which provides further insight into the effect of valvular interventions.

CASE SUMMARY

We present a case of a 61-year-old male patient with an ischaemic cardiomyopathy, poor LV function, moderate to severe mitral regurgitation, and severe aortic valve regurgitation in refractory heart failure. Right heart catheterization and CardioMEMS monitoring revealed severe pulmonary hypertension with mean PA pressures of 55 mmHg and a mean pulmonary capillary wedge pressure of 21 mmHg despite up titration of heart failure medication and sildenafil. Pulmonary and systemic causes of pulmonary hypertension were excluded. After heart team consensus, the patient underwent transcatheter aortic valve implantation (TAVI) which resulted in normalization of PA pressures and a significant improvement of functional performance.

DISCUSSION

To the best of our knowledge, this is the first case report describing the direct effects of TAVI on continuous PA pressures in a patient with poor LV function and severe aortic regurgitation. Elective TAVI appeared to be safe and very effective in reverting severe pulmonary hypertension. Most strikingly, drug interventions could not affect the elevated pulmonary pressures, but TAVI corrected the aortic valve insufficiency with normalization of left-sided pulmonary hypertension.

Clinical Update of the Latest Evidence for CardioMEMS Pulmonary Artery Pressure Monitoring in Patients with Chronic Heart Failure: A Promising System for Remote Heart Failure Care

The CardioMEMS pulmonary artery (PA) monitoring system placed in the left lower lobe pulmonary artery is capable of measuring pulmonary artery pressure remotely as a surrogate of intracardiac filling pressures and volume status. The technique is safe and reliable. By using remote PA monitoring for proactive medical interventions, there is a growing body of clinical evidence for a substantial, robust reduction in HF hospitalizations in various populations (clinical trial setting, post-marketing studies and real-world experiences). This review summarizes the clinical evidence, outlines future perspectives, and aims for remote patient care in heart failure using CardioMEMS.

Invasive Devices and Sensors for Remote Care of Heart Failure Patients

The large and growing burden of chronic heart failure (CHF) on healthcare systems and economies is mainly caused by a high hospital admission rate for acute decompensated heart failure (HF). Several remote monitoring techniques have been developed for early detection of worsening disease, potentially limiting the number of hospitalizations. Over the last years, the scope has been shifting towards the relatively novel invasive sensors capable of measuring intracardiac filling pressures, because it is believed that hemodynamic congestion precedes clinical congestion. Monitoring intracardiac pressures may therefore enable clinicians to intervene and avert hospitalizations in a pre-symptomatic phase. Several techniques have been discussed in this review, and thus far, remote monitoring of pulmonary artery pressures (PAP) by the CardioMEMS (CardioMicroelectromechanical system) HF System is the only technique with proven safety as well as efficacy with regard to the prevention of HF-related hospital admissions. Efforts are currently aimed to further develop existing techniques and new sensors capable of measuring left atrial pressures (LAP). With the growing body of evidence and need for remote care, it is expected that remote monitoring by invasive sensors will play a larger role in HF care in the near future.

The Future of Telemedicine in the Management of Heart Failure Patients

Telemedicine (TM) is potentially a way of escalating heart failure (HF) multidisciplinary integrated care. Despite the initial efforts to implement TM in HF management, we are still at an early stage of its implementation. The coronavirus disease 2019 pandemic led to an increased utilisation of TM. This tendency will probably remain after the resolution of this threat. Face-to-face medical interventions are gradually transitioning to the virtual setting by using TM. TM can improve healthcare accessibility and overcome geographic inequalities. It promotes healthcare system efficiency gains, and improves patient self-management and empowerment. In cooperation with human intervention, artificial intelligence can enhance TM by helping to deal with the complexities of multicomorbidity management in HF, and will play a relevant role towards a personalised HF patient approach. Artificial intelligence-powered/telemedical/heart team/multidisciplinary integrated care may be the next step of HF management. In this review, the authors analyse TM trends in the management of HF patients and foresee its future challenges within the scope of HF multidisciplinary integrated care.

Remote monitoring in heart failure: current and emerging technologies in the context of the pandemic

The incidence of heart failure (HF) remains high and patients with HF are at risk for frequent hospitalisations. Remote monitoring technologies may provide early indications of HF decompensation and potentially allow for optimisation of therapy to prevent HF hospitalisations. The need for reliable remote monitoring technology has never been greater as the COVID-19 pandemic has led to the rapid expansion of a new mode of healthcare delivery: the virtual visit. With the convergence of remote monitoring technologies and reliable method of remote healthcare delivery, an understanding of the role of both in the management of patients with HF is critical. In this review, we outline the evidence on current remote monitoring technologies in patients with HF and highlight how these advances may benefit patients in the context of the current pandemic.

Wireless Hemodynamic Monitoring in Patients with Heart Failure

Purpose of Review

Wireless hemodynamic monitoring in heart failure patients allows for volume assessment without the need for physical exam. Data obtained from these devices is used to assist patient management and avoid heart failure hospitalizations. In this review, we outline the various devices, mechanisms they utilize, and effects on heart failure patients.

Recent Findings

New applications of these devices to specific populations may expand the pool of patients that may benefit. In the COVID-19 pandemic with a growing emphasis on virtual visits, remote monitoring can add vital ancillary data.

Summary

Wireless hemodynamic monitoring with a pulmonary artery pressure sensor is a highly effective and safe method to assess for worsening intracardiac pressures that may predict heart failure events, giving lead time that is valuable to keep patients optimized. Implantation of this device has been found to improve outcomes in heart failure patients regardless of preserved or reduced ejection fraction.

Remote Patient Monitoring in Heart Failure: Factors for Clinical Efficacy

Despite clinical advances in its treatment, heart failure (HF) is associated with significant adverse clinical outcomes and is among the greatest drivers of healthcare utilization. Outpatient management of HF remains suboptimal, with gaps in the provision of evidence-based therapies, and difficulties in predicting and managing clinical decompensation. Remote patient monitoring (RPM) has the potential to address these issues, and thus has been of increasing interest to HF clinicians and health systems. Economic incentives, including increasing RPM reimbursement and HF readmission penalties, are also spurring increased interest in RPM. This review establishes a framework for evaluating RPM based on its various components: 1) patient data collection, 2) data transmission, analysis, and presentation, and 3) care team review and clinical action. The existing evidence regarding RPM in HF management is also reviewed. Based on the data, we identify RPM features associated with clinical efficacy and describe emerging digital tools that have the promise of addressing current needs.

Prognostic value of brain natriuretic peptide vs history of heart failure hospitalization in a large real-world population

Background

In heart failure (HF) patients, both natriuretic peptides (NP) and previous HF hospitalization (pHFH) have been used to predict prognosis.

Hypothesis

In a large real‐world population, both NP levels and pHFH have independent and interdependent predictive value for clinical outcomes of HFH and all‐cause mortality.

Methods

Linked electronic health records and insurance claims data from Decision Resource Group were used to identify HF patients that had a BNP or NT‐proBNP result between January 2012 and December 2016. NT‐proBNP was converted into BNP equivalents by dividing by 4. Index event was defined as most recent NP on or after 1 January 2012. Patients with incomplete records or age < 18 years were excluded. During one‐year follow up, HFH and mortality rates stratified by index BNP levels and pHFH are reported.

Results

Of 64 355 patients (74 ± 12 years old, 49% female) with available values, median BNP was 259 [IQR 101‐642] pg/ml. The risk of both HFH and mortality was higher with increasing BNP levels. At each level of BNP, mortality was only slightly higher in patients with pHFH vs those without pHFH (RR 1.2 [95%CI 1.2,1.3], P < .001); however, at each BNP, HFH was markedly increased in patients with pHFH vs those without pHFH (RR 2.0 [95%CI 1.9,2.1], P < .001).

Conclusion

In this large real‐world heart failure population, higher BNP levels were associated with increased risk for both HFH and mortality. At any given level of BNP, pHFH added greater prognostic value for prediction of future HFH than for mortality.

In heart failure (HF) patients, both natriuretic peptides (NP) and previous HF hospitalization (pHFH) have been used to predict prognosis. However, this association has not been reported over a wide range of NP levels with and without pHFH for clinical outcomes of HFH and all‐cause mortality in a large real‐world population. The current study showed that in a large real‐world heart failure population, higher BNP levels were associated with increased risk for both HFH and mortality. At any given level of BNP, pHFH added greater prognostic value for prediction of future HFH than for mortality.

Diagnosis and Management of Patients with Heart Failure with Preserved Ejection Fraction (HFpEF): Current Perspectives and Recommendations

Heart failure with preserved ejection fraction (HFpEF) is a major global public health problem. Diagnosis of HFpEF is still challenging and built based on the comprehensive echocardiographic analysis. Currently, there are no universally accepted therapies that alter the clinical course of HFpEF. This review attempts to summarize the current advances in the diagnosis of HFpEF and provide future directions of the patients´ management with this very widespread, heterogeneous clinical syndrome.

A Physiologic Approach to Hemodynamic Monitoring and Optimizing Oxygen Delivery in Shock Resuscitation

The approach to shock resuscitation focuses on all components of oxygen delivery, including preload, afterload, contractility, hemoglobin, and oxygen saturation. Resuscitation focused solely on preload and fluid responsiveness minimizes other key elements, resulting in suboptimal patient care. This review will provide a physiologic and practical approach for the optimization of oxygen delivery utilizing available hemodynamic monitoring technologies. Venous oxygen saturation (SvO₂) and lactate will be discussed as indicators of shock states and endpoints of resuscitation within the framework of resolving oxygen deficit and oxygen debt.

CardioMEMSTM System in the Daily Management of Heart Failure: Review of Current Data and Technique of Implantation

INTRODUCTION

Heart failure (HF) leads to significant morbidity and mortality and imposes a large economic burden. Although there have been several advances in HF monitoring and management, HF-rehospitalization remains a significant problem. Remote monitoring of HF to detect early signs of decompensation has emerged in past years as an option to prevent or reduce the incidence of HF rehospitalization. The CardioMEMS^TM HF system is a wireless pulmonary artery (PA) pressure monitoring system that detects changes in PA pressure and transmits data to the healthcare provider. Since changes in PA pressure happen early in the course of HF decompensation, the CardioMEMS^TM system allows the provider to institute timely intensification of HF therapies to alter the course. In trial and registry data, the use of the CardioMEMS^TM HF system has been associated with reduction in HF hospitalization, improvement in quality of life, symptoms, and physical activity.

AREAS COVERED

This review will focus on the available data supporting its utilization in patients with HF.

EXPERT OPINION

CardioMEMS^TM is relatively safe and cost-effective, reduces heart failure hospitalization rates, and fits into intermediate to high-value medical care.

Rationale and design of the CardioMEMS Post-Market Multinational Clinical Study: COAST

AIMS

Chronic heart failure reduces quality and quantity of life and is expensive for healthcare systems. Medical treatment relies on guideline-directed therapy, but clinical follow-up and remote management is highly variable and poorly effective. New remote management strategies are needed to maintain clinical stability and avoid hospitalizations for acute decompensation.

METHODS AND RESULTS

The CardioMEMS Post-Market Study is a prospective, international, single-arm, multicentre, open-label study (NCT02954341) designed to examine the feasibility of haemodynamic guided heart failure management using a small pressure sensor permanently implanted in the pulmonary artery (PA). Daily uploaded PA pressures will be reviewed weekly to remotely guide medical management of patients with persistent NYHA Class III symptoms at baseline and a hospitalization in the prior 12 months. The study will enrol up to 800 patients from 85 sites across the United Kingdom, Europe, and Australia. The primary safety endpoint will assess device or system-related complications or sensor failures after 2 years of follow-up. Efficacy will be estimated after 1 year of follow-up comparing HF hospitalization rates before and after sensor implantation. Observational endpoints will include mortality, patient, and investigator monitoring compliance, PA pressure changes, quality of life, and several pre-defined subgroup analyses.

CONCLUSIONS

The CardioMEMS Post-Market Study will investigate the generalizability of remote haemodynamic guided HF management in a number of national settings. The results may support the more widespread implementation of this novel clinical management approach.