Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial

Differential impacts of self-care behavior on clinical outcomes in patients with and without recent heart failure hospitalization

BACKGROUND

Although clinical guidelines recommend self-care assessment for patients with chronic heart failure (CHF), its prognostic significance remains controversial. This study aimed to compare the prognostic significance of self-care behavior on mortality between patients with and without a history of recent hospitalization for heart failure (HF).

METHODS

We analyzed consecutive 1907 CHF patients from a Japanese multicenter registry (January 2020-June 2023) using the 9-item European Heart Failure Self-care Behavior Scale (EHFScBS-9) at enrolment. Suboptimal self-care behavior was defined as a score < 70 on the EHFScBS-9. Patients were divided into recent (within 30 days post-discharge, n = 664) and no recent hospitalization for HF groups (n = 1263), respectively. The primary outcome was a composite of all-cause death and rehospitalization for HF.

RESULTS

During a median follow-up period of 427 (interquartile range 273-630) days, the primary outcome occurred in 100 patients. Patients with suboptimal self-care behavior exhibited a higher incidence of the primary outcome in the recent hospitalization for HF group (p = 0.020) but not in the no recent hospitalization for HF group (P = 0.16). Multivariable regressions showed suboptimal self-care behavior was independently associated with the primary outcome in the recent hospitalization for HF group with a significant interaction (P = 0.029).

CONCLUSION

In patients recently hospitalized for HF, but not in those without a recent hospitalization history for HF, suboptimal self-care behavior was associated with adverse events. This indicates the importance of self-care education for these patients.

Personalized Intervention Strategy Based on a Risk Score Generated From Subcutaneous Insertable Cardiac Monitor: Results From Phase 1 of ALLEVIATE-HF

BACKGROUND

Diagnostic variables from insertable cardiac monitors may be useful in identifying patients at increased risk of heart failure (HF) events. High-risk alerts must be coupled with interventions to improve outcomes. We aim to assess the safety of a predefined protocolized intervention pathway activated by insertable cardiac monitor high-risk alerts.

METHODS AND RESULTS

ALLEVIATE-HF (Algorithm Using LINQ Sensors for Evaluation and Treatment of Heart Failure) Phase 1 was a randomized interventional study enrolling patients with New York Heart Association class II/III and a recent HF event. A HF risk score based on insertable cardiac monitor diagnostics, including impedance, respiration rate, atrial fibrillation burden, heart rate during atrial fibrillation, heart rate variability, and activity duration, was calculated. A protocolized intervention pathway was activated when high-risk scores were detected that involved physician-prescribed nurse-implemented uptitration of diuretic for 4 days, unless safety rule-out conditions were met. Interventions could be repeated if high-risk scores persisted and did not require worsening symptoms. In total, 59 patients were randomized (mean age 68.2±11.8 years; 59.3% male); 67.8% with ejection fraction ≥50%. The mean follow-up was 11.8±8.1 months. Overall, 146 high-risk scores were recorded in 33 patients and 118 interventions occurred in 75 (51.4%) high-risk alerts that did not meet safety rule-out criteria. There were no serious adverse events and 13 adverse events related to interventions. In patients with symptoms at intervention initiation, symptoms resolved in 37 interventions (80%) and worsened in 8 (17%). In asymptomatic patients, symptoms developed in 3 interventions (7%).

CONCLUSIONS

A personalized medication intervention based on insertable cardiac monitor risk score can be safely instituted in patients with HF, irrespective of symptoms.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique Identifier: NCT04452149.

International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates-2024

The "International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates-2024" updates and replaces the "Listing Criteria for Heart Transplantation: International Society for Heart and Lung Transplantation Guidelines for the Care of Cardiac Transplant Candidates-2006" and the "2016 International Society for Heart Lung Transplantation Listing Criteria for Heart Transplantation: A 10-year Update." The document aims to provide tools to help integrate the numerous variables involved in evaluating patients for transplantation, emphasizing updating the collaborative treatment while waiting for a transplant. There have been significant practice-changing developments in the care of heart transplant recipients since the publication of the International Society for Heart and Lung Transplantation (ISHLT) guidelines in 2006 and the 10-year update in 2016. The changes pertain to 3 aspects of heart transplantation: (1) patient selection criteria, (2) care of selected patient populations, and (3) durable mechanical support. To address these issues, 3 task forces were assembled. Each task force was cochaired by a pediatric heart transplant physician with the specific mandate to highlight issues unique to the pediatric heart transplant population and ensure their adequate representation. This guideline was harmonized with other ISHLT guidelines published through November 2023. The 2024 ISHLT guidelines for the evaluation and care of cardiac transplant candidates provide recommendations based on contemporary scientific evidence and patient management flow diagrams. The American College of Cardiology and American Heart Association modular knowledge chunk format has been implemented, allowing guideline information to be grouped into discrete packages (or modules) of information on a disease-specific topic or management issue. Aiming to improve the quality of care for heart transplant candidates, the recommendations present an evidence-based approach.

Digital tools in heart failure: addressing unmet needs

This Series paper provides an overview of digital tools in heart failure care, encompassing screening, early diagnosis, treatment initiation and optimisation, and monitoring, and the implications these tools could have for research. The current medical environment favours the implementation of digital tools in heart failure due to rapid advancements in technology and computing power, unprecedented global connectivity, and the paradigm shift towards digitisation. Despite available effective therapies for heart failure, substantial inadequacies in managing the condition have hindered improvements in patient outcomes, particularly in low-income and middle-income countries. As digital health tools continue to evolve and exert a growing influence on both clinical care and research, establishing clinical frameworks and supportive ecosystems that enable their effective use on a global scale is crucial.

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.

The War Against Heart Failure Hospitalizations: Remote Monitoring and the Case for Expanding Criteria

Successful remote patient monitoring depends on bidirectional interaction between patients and multidisciplinary clinical teams. Invasive pulmonary artery pressure monitoring has been shown to reduce heart failure (HF) hospitalizations, facilitate guideline-directed medical therapy optimization, and improve quality of life. Cardiac implantable electronic device-based multiparameter monitoring has shown encouraging results in predicting future HF-related events. Potential expanded indications for remote monitoring include guideline-directed medical therapy optimization, application to specific populations, and subclinical detection of HF. Voice analysis, inferior vena cava diameter monitoring, and artificial intelligence-based remote electrocardiogram show potential to gain some merit in remote patient monitoring in HF.

Unlocking Tomorrow's Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence

As an integral aspect of health care, digital technology has enabled modelling of complex relationships to detect, screen, diagnose, and predict patient outcomes. With massive data sets, artificial intelligence (AI) can have marked effects on 3 levels: for patients, clinicians, and health systems. In this review, we discuss contemporary AI-enabled wearable devices undergoing research in the field of cardiovascular medicine. These include devices such as smart watches, electrocardiogram patches, and smart textiles such as smart socks and chest sensors for diagnosis, management, and prognostication of conditions such as atrial fibrillation, heart failure, and hypertension as well as monitoring for cardiac rehabilitation. We review the evolution of machine learning algorithms used in wearable devices from random forest models to the use of convolutional neural networks and transformers. We further discuss frameworks for wearable technologies such as the V3-stage process of verification, analytical validation, and clinical validation as well as challenges of AI integration in medicine such as data veracity, validity, and security and provide a reference framework to maintain fairness and equity. Last, clinician and patient perspectives are discussed to highlight the importance of considering end-user feedback in development and regulatory processes.

[Telemedical care concepts for heart failure: status and future]

Telemedical care concepts provide opportunities to improve the care of patients with chronic heart failure (CHF). The current state of telemedical technologies enables the effective monitoring of the disease. Germany is one of the first European countries with an entitlement to telemedical supporting care for CHF patients. The decision of the German Federal Joint Committee in 2020 to introduce telemedical supporting care for CHF patients marks a milestone. For the first time, a digital care procedure was included in the benefits catalogue of the statutory health insurance funds due to its proven benefits in terms of morbidity and mortality. Privately insured CHF patients have been entitled to these benefits since January 2024. Future developments, particularly with respect to artificial intelligence procedures in telemedicine, are promising but require more evidence. Further research, technological innovation and supportive policy frameworks are needed to realize the full potential of these approaches. Continued collaboration between healthcare professionals, technology developers and policy makers will be crucial in sustainably improving the care of heart failure patients with telemedicine.

Impact of a Novel Wearable Sensor on Heart Failure Rehospitalization: An Open-Label Concurrent-Control Clinical Trial

BACKGROUND

There is an unmet need for early detection of heart failure decompensation, allowing patients to be managed remotely and avoid hospitalization.

OBJECTIVES

The purpose of this study was to compare a strategy utilizing data from a wearable HF sensor for management following a HF hospitalization to usual care.

METHODS

Eligible subjects were discharged from the hospital within the previous 10 days and had a HF event in the previous 6 months. The concurrent control study was divided into 2 arms; a control arm, BMAD-HF and an open-label intervention arm, BMAD-TX. The HFMS (Heart Failure Monitoring System) was worn by subjects for up to 90 days. Device data was blinded to investigators and subjects in the BMAD-HF control arm but provided proactively in the BMAD-TX intervention arm. The impact of HF management with the HFMS was evaluated by Kaplan-Meier analysis of time to first HF hospitalization.

RESULTS

A total of 522 subjects were enrolled in the study at 93 sites. A total of 245 subjects in BMAD-HF and 249 in BMAD-TX were eligible for intention-to-treat analysis. There were 276 hospitalizations in 189 subjects at 90 days, of which 108 events were determined to be heart failure related in 82 subjects. The subjects in the arm managed using HFMS data to direct HF therapy had a 38% lower HF hospitalization rate during the 90 days following a HF hospitalization compared to subjects in the control arm (HR = 0.62; P = 0.03).

CONCLUSIONS

In patients with a recent HF hospitalization, a strategy of using HFMS data for HF management is associated with a 38% relative risk reduction in 90-day HF rehospitalization. (Benefits of Microcor in Ambulatory Decompensated Heart Failure [BMAD-TX; NCT04096040] and Benefits of Microcor in Ambulatory Decompensated Heart Failure [BMAD-HF; NCT03476187]).

Thoracic Fluid Content as an Indicator of High Intravenous Diuretic Requirements in Hospitalized Patients with Decompensated Heart Failure

Background: The main cause of hospitalization in patients with heart failure is hypervolemia. Therefore, the primary treatment strategy involves diuretic therapy using intravenous loop diuretics to achieve decongestion and euvolemia. Some patients with acutely decompensated heart failure (ADHF) do not respond well to diuretic treatment, which may be due to diuretic resistance (DR). Such cases require high doses of diuretic medications and combination therapy with diuretics of different mechanisms of action. Although certain predisposing factors for diuretic resistance have been identified (such as hypotension, type 2 diabetes, impaired renal function, and hyponatremia), further research is needed to identify other pathophysiological markers of DR. Objective: This study aims to identify admission markers that can predict a high requirement for intravenous diuretics in hospitalized patients with decompensated heart failure. Methods: This study included 102 adult patients hospitalized for ADHF. At admission, patients underwent clinical assessment, laboratory parameter evaluation (including the N-terminal prohormone of brain natriuretic peptide [NT-proBNP] levels), and hemodynamic assessment using impedance cardiography (ICG). Hemodynamic profiles were based on the use of parameters such as heart rate (HR), blood pressure (BP), and thoracic fluid content (TFC) as markers of volume status. The analysis included 97 patients with documented doses of intravenous diuretic use. Patients were stratified into two groups based on median diuretic consumption (equivalent to 540 mg of intravenous furosemide): the high-loop diuretic utilization (LDU) group (n = 49) and the low-LDU group (n = 48). Results: Compared to low-LDU patients, high-LDU patients had greater thoracic fluid content at admission, both quantitatively (37.4 ± 8.1 vs. 34.1 ± 6.9 kOhm-1; p = 0.024) and qualitatively (TFC ≥ 35 kOhm-1: 59.2% vs. 33.3%; p = 0.011). Anemia was more common in the high-LDU group (67.4% vs. 43.8%; p = 0.019), as was elevated NT-proBNP (≥median of 3952 pg/mL: 60.4% vs. 37.5%; p = 0.024). High LDU was associated with a significantly longer hospitalization duration (12.9 ± 6.4 vs. 7.0 ± 2.6 days; p < 0.001). Logistic regression analysis identified anemia, elevated NT-proBNP, and high TFC as predictors of high LDU (HR: 2.65, 2.54, and 2.90, respectively). In a multifactorial model, only high TFC remained an independent predictor (HR: 2.60, 95% CI 1.04-6.49; p = 0.038). Conclusions: TFC was the sole independent admission marker of a high requirement for intravenous diuretics in patients hospitalized for decompensated heart failure. An objective assessment of volume status by impedance cardiography may support intensive personalized decongestion therapy.

Biomarkers of Hemodynamic Congestion in Heart Failure

PURPOSE OF REVIEW

The purpose of this review is to describe the evidence behind various blood and imaging-based biomarkers that can improve the identification of congestion when not clearly evident on routine examination.

RECENT FINDINGS

The natriuretic peptides (NPs) BNP and NT-proBNP have been shown to closely correlate with intra-cardiac filling pressures, both at baseline and when trended following improvement in congestion. Additionally, NPs rise well before clinical congestion is apparent so can be used as a tool to help identify subclinical HF decompensation. Additional serum-based biomarkers including MR-proANP and CA-125 can be helpful in assisting with diagnostic certainty when BNP or NT-proBNP are in the "grey zone" or when factors are present which may confound NP levels. Additionally, the emerging use of ultrasound techniques may enhance our ability to fine-tune the assessment and treatment of congestion. Biomarkers, including the blood-based natriuretic peptides and markers on bedside point of care ultrasound, can be used as non-invasive indices of hemodynamic congestion. These biomarkers are particularly valuable to incorporate when the degree of a patient's congestion is not apparent on clinical exam, and they can provide important prognostic information and help guide clinical management.

Surveillance and Alert-based Multiparameter Monitoring to Reduce Worsening Heart Failure Events: Results From SCALE-HF 1

BACKGROUND

There is a need for better noninvasive remote monitoring solutions that prevent hospitalizations through the early prediction and management of heart failure (HF). SurveillanCe and Alert-Based Multiparameter Monitoring to ReducE Worsening Heart Failure Events (SCALE-HF 1) evaluated the performance of a novel congestion index that alerts to fluid accumulation preceding HF events.

METHODS AND RESULTS

SCALE-HF 1 was a multicenter, prospective, observational study investigating HF event prediction using data from the cardiac scale. Participants with HF took measurements at home by standing barefoot on the scale for approximately 20 seconds each day. The congestion index was applied retrospectively, and an alert was generated when the index exceeded a fixed threshold established in prior studies. HF events were defined as unplanned administration of IV diuretics or admissions with a primary diagnosis of HF. Sensitivity was defined as the ratio of correctly identified HF events to the total number of HF events. We enrolled 329 participants (mean age 64 ± 14 years; 43% women; 32% Black; 56% with reduced ejection fraction) across 8 sites with 238 participant-years of follow-up and 69 usable HF events. The congestion index predicted 48 of the 69 HF events (70%) at 2.58 alerts per participant-year. In contrast, the standard weight rule (weight gain of >3 lb in 1 day or >5 lb in 7 days) predicted only 24 of the 69 HF events (35%) at 4.18 alerts per participant-year. The congestion index alerts had a significantly higher sensitivity (P < .01) at a lower alert rate than the standard weight rule.

CONCLUSIONS

The congestion index alerts demonstrated sensitive prediction of HF events at a low alert rate, significantly exceeding the performance of weight-based monitoring.

CLINICALTRIALS

GOV IDENTIFIER

NCT04882449.

Artificial intelligence-enhanced patient evaluation: bridging art and science

The advent of digital health and artificial intelligence (AI) has promised to revolutionize clinical care, but real-world patient evaluation has yet to witness transformative changes. As history taking and physical examination continue to rely on long-established practices, a growing pipeline of AI-enhanced digital tools may soon augment the traditional clinical encounter into a data-driven process. This article presents an evidence-backed vision of how promising AI applications may enhance traditional practices, streamlining tedious tasks while elevating diverse data sources, including AI-enabled stethoscopes, cameras, and wearable sensors, to platforms for personalized medicine and efficient care delivery. Through the lens of traditional patient evaluation, we illustrate how digital technologies may soon be interwoven into routine clinical workflows, introducing a novel paradigm of longitudinal monitoring. Finally, we provide a skeptic's view on the practical, ethical, and regulatory challenges that limit the uptake of such technologies.

Remote haemodynamic-guided heart failure management in France: Results from the CardioMEMS HF System Post-Market Study (COAST) French cohort

BACKGROUND

Previous studies have demonstrated the benefit of a haemodynamic-guided management strategy with the CardioMEMS™ HF System. No data from French patients have been published.

AIMS

To analyse the feasibility, safety and clinical benefit of the CardioMEMS™ HF System in 103 French patients included in the CardioMEMS HF System Post-Market Study (COAST).

METHODS

Prospective open-label cohort of New York Heart Association class III patients with at least one heart failure hospitalization in the 12 months before enrolment, regardless of left ventricular ejection fraction. The primary safety endpoints assessed the freedom from device/system-related complications and from pressure sensor failure at 2 years after implantation. The primary efficacy endpoint was evaluated comparing the rate of heart failure hospitalization during the year before and the year after implantation.

RESULTS

At 2 years, there were no device/system-related complications or pressure sensor failures (P<0.0001). There were 179 heart failure hospitalizations in the year before implantation compared with 79 in the year after implantation (risk reduction 50.3%; rate ratio 0.50, 95% confidence interval 0.38-0.66; P<0.0001). During the 2 years of follow-up, pulmonary artery pressures were lowered significantly (mean pulmonary artery pressure -3.7±6.3mmHg; P<0.0001), with a significant improvement in functional class and quality of life.

CONCLUSIONS

In the French cohort of the COAST study, we have demonstrated that the CardioMEMS™ HF System is a reliable device, with no device/system-related complications or pressure sensor failures. Patients in this open-label cohort had a significant reduction in pulmonary artery pressures, with an improvement in New York Heart Association classification and quality of life, and a 50% reduction in the heart failure hospitalization rate in the year following implantation compared with the previous year.

HFSA Scientific Statement: Update on Device Based Therapies in Heart Failure

Heart failure (HF) is 1 of the major challenges of our time, given its increase in prevalence and related mortality rates. Foundational pharmacological therapies, including angiotensin receptor neprilysin inhibitors (ARNIs), beta-blockers, mineralocorticoid receptor antagonists (MRAs), and sodium-glucose co-transporter inhibitors (SGLTis), have been established for HF with reduced ejection fraction (HFrEF). Moreover, recent trials have established the role of SGLTis in patients with HF with preserved ejection fraction (HFpEF). However, even with these therapies, a substantial residual risk persists in both HFrEF and HFpEF. Alongside pharmacological advancements, device-based therapies have shown efficacy in HF management, including implantable cardioverter-defibrillators (ICDs) and cardiac resynchronization therapy (CRT). More recently, devices such as cardiac contractility modulation (CCM) and baroreflex activation therapy (BAT) have been approved by the FDA, although they lack comprehensive guideline recommendations. This scientific statement outlines the unmet needs in chronic HF, reviews contemporary data and provides a framework for integrating novel device-based therapies into current clinical workflows. It emphasizes the importance of early diagnosis and phenotyping, proper patient stratification and a personalized approach to combining pharmacological and device therapies. The document also highlights the need for further research into device interactions and patient selection to optimize outcomes, while recognizing the need for a more integrated approach to treatment so as to address the unmet needs and residual risks in HF management.

Management of Fluid Overload in Patients With Severe Aortic Stenosis (EASE-TAVR): A Randomized Controlled Trial

BACKGROUND

Fluid overload (FO) subjects patients with severe aortic stenosis (AS) to increased risk for heart failure and death after valve replacement and can be objectively quantified using bioimpedance spectroscopy (BIS).

OBJECTIVES

The authors hypothesized that in AS patients with concomitant FO, BIS-guided decongestion could improve prognosis and quality of life following transcatheter aortic valve replacement (TAVR).

METHODS

This randomized, controlled trial enrolled 232 patients with severe AS scheduled for TAVR. FO was defined using a portable whole-body BIS device according to previously established cutoffs (≥1.0 L and/or ≥7%). Patients with FO (n = 111) were randomly assigned 1:1 to receive BIS-guided decongestion (n = 55) or decongestion by clinical judgment alone (n = 56) following TAVR. Patients without FO (n = 121) served as a control cohort. The primary endpoint was the composite of hospitalization for heart failure and/or all-cause death at 12 months. The secondary endpoint was the change from baseline to 12 months in the Kansas City Cardiomyopathy Questionnaire.

RESULTS

The occurrence of the primary endpoint at 12 months was significantly lower in the BIS-guided vs the non-BIS-guided decongestion group (7/55 [12.7%, all deaths] vs 18/56 [32.1%, 9 hospitalizations for heart failure and 9 deaths]; HR: 0.36; 95% CI: 0.15-0.87; absolute risk reduction = -19.4%). Outcomes in the BIS-guided decongestion group were identical to the euvolemic control group (log-rank test, P = 0.7). BIS-guided decongestion was also associated with a higher increase in the Kansas City Cardiomyopathy Questionnaire score from baseline compared to non-BIS-guided decongestion (P = 0.001).

CONCLUSIONS

In patients with severe AS and concomitant FO, quantitatively guided decongestive treatment and associated intensified management post-TAVR was associated with improved outcomes and quality of life compared to decongestion by clinical judgment alone. (Management of Fluid Overload in Patients Scheduled for Transcatheter Aortic Valve Replacement [EASE-TAVR]; NCT04556123).

Atrial fibrillation and heart failure with preserved ejection fraction "twindemic"-Shared root causes and treatment targets

Heart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) are comorbid conditions that are increasingly prevalent and have a high socioeconomic burden. This article discusses their shared pathophysiology, focusing on the triad of hypertension, obesity, and aging. We highlight the misperception that pharmacological heart rate lowering is beneficial, which has resulted in an overprescription of β-blockers in HFpEF and AF. In contrast, heart rate modulation through accelerated pacing provides hemodynamic and structural advantages, which have yielded significant improvements in quality of life, physical activity, and AF burden in the personalized pacing for diastolic dysfunction and heart failure with preserved ejection fraction (myPACE) trial of patients with preclinical or overt HFpEF.

Integrative assessment of congestion in heart failure using ultrasound imaging

In heart failure (HF), congestion is a key pathophysiologic hallmark and a major contributor to morbidity and mortality. However, the presence of congestion is often overlooked in both acute and chronic settings, particularly when it is not clinically evident, which can have important clinical consequences. Ultrasound (US) is a widely available, non-invasive, sensitive tool that might enable clinicians to detect and quantify the presence of (subclinical) congestion in different organs and tissues and guide therapeutic strategies. In particular, left ventricular filling pressures and pulmonary pressures can be estimated using transthoracic echocardiography; extravascular lung water accumulation can be evaluated by lung US; finally, systemic venous congestion can be assessed at the level of the inferior vena cava or internal jugular vein. The Doppler evaluation of renal, hepatic and portal venous flow can provide additional valuable information. This review aims to describe US techniques allowing multi-organ evaluation of congestion, underlining their role in detecting, monitoring, and treating volume overload more objectively.

Left Atrial Hemodynamics and Clinical Utility in Heart Failure

Comprehensive knowledge of the left atrium (LA) and its pathophysiology has emerged as an important clinical and research focus in the heart failure (HF) arena. Although studies on HF focusing on investigating left ventricular remodeling are numerous, those on atrial structural and functional changes have received comparatively less attention. Studies on LA remodeling have recently received increasing attention, and LA pressure (LAP) has become a novel target for advanced monitoring and is a potential therapeutic approach for treating HF. Various devices specifically designed for the direct measurement of LAP have been developed to optimize HF treatment by reducing LAP. This review focuses on LA hemodynamic monitoring and effective LAP decompression.

Management of patients with heart failure and chronic kidney disease

Chronic kidney disease (CKD) and heart failure are often co-existing conditions due to a shared pathophysiological process involving neurohormonal activation and hemodynamic maladaptation. A wide range of pharmaceutical and interventional tools are available to patients with CKD, consisting of traditional ones with decades of experience and newer emerging therapies that are rapidly reshaping the landscape of medical care for this population. Management of patients with heart failure and CKD requires a stepwise approach based on renal function and the clinical phenotype of heart failure. This is often challenging due to altered drug pharmacokinetics interactions with various degrees of kidney function and frequent adverse effects from the therapy that lead to poor patient tolerance. Despite a great body of clinical evidence and guidelines that have offered various treatment options for patients with heart failure and CKD, respectively, patients with CKD are still underrepresented in heart failure clinical trials, especially for those with advanced CKD and end-stage renal disease (ESRD). Future studies are needed to better understand the generalizability of these therapeutic options among heart failures with different stages of CKD.

From Hospital to Home: Evidence-Based Care for Worsening Heart Failure

Heart failure (HF) is a leading cause of hospitalization in older adults. Patients are at high risk of readmission and death following hospitalization for HF. There is no standard approach of health care delivery during the hospital-to-home transition period, leaving missed opportunities in care optimization. In this review, we discuss contemporary randomized clinical trials that tested decongestion strategies, disease-modifying therapies, and health care services that inform the care of patients with worsening HF. We provide evidence-informed recommendations for optimizing therapies and improving outcomes during and following hospitalization for HF. These include adequate decongestion with loop diuretics and select sequential nephron blockade strategies based on early evaluation of diuretic response; initiation of disease-modifying pharmacotherapies prior to hospital discharge with close follow-up and optimization after discharge; cardiac rehabilitation; and transitional or palliative care referral post-hospitalization. Evidence-based implementation strategies to facilitate broad uptake include digital health tools and algorithm-driven optimization of pharmacotherapies.

Clinical trial design, end-points, and emerging therapies in pulmonary arterial hypertension

Clinical trials in pulmonary arterial hypertension (PAH) have led to the approval of several effective treatments that improve symptoms, exercise capacity and clinical outcomes. In phase 3 clinical trials, primary end-points must reflect how a patient "feels, functions or survives". In a rare disease like PAH, with an ever-growing number of treatment options and numerous candidate therapies being studied, future clinical trials are now faced with challenges related to sample size requirements, efficiency and demonstration of incremental benefit on traditional end-points in patients receiving background therapy with multiple drugs. Novel clinical trial end-points, innovative trial designs and statistical approaches and new technologies may be potential solutions to tackle the challenges facing future PAH trials, but these must be acceptable to patients and regulatory bodies while preserving methodological rigour. In this World Symposium on Pulmonary Hypertension task force article, we address emerging trial end-points and designs, biomarkers and surrogate end-point validation, the concept of disease modification, challenges and opportunities to address diversity and representativeness, and the use of new technologies such as artificial intelligence in PAH clinical trials.

Pulmonary artery pressure monitoring in chronic heart failure: effects across clinically relevant subgroups in the MONITOR-HF trial

BACKGROUND AND AIMS

In patients with chronic heart failure (HF), the MONITOR-HF trial demonstrated the efficacy of pulmonary artery (PA)-guided HF therapy over standard of care in improving quality of life and reducing HF hospitalizations and mean PA pressure. This study aimed to evaluate the consistency of these benefits in relation to clinically relevant subgroups.

METHODS

The effect of PA-guided HF therapy was evaluated in the MONITOR-HF trial among predefined subgroups based on age, sex, atrial fibrillation, diabetes mellitus, left ventricular ejection fraction, HF aetiology, cardiac resynchronization therapy, and implantable cardioverter defibrillator. Outcome measures were based upon significance in the main trial and included quality of life-, clinical-, and PA pressure endpoints, and were assessed for each subgroup. Differential effects in relation to the subgroups were assessed with interaction terms. Both unadjusted and multiple testing adjusted interaction terms were presented.

RESULTS

The effects of PA monitoring on quality of life, clinical events, and PA pressure were consistent in the predefined subgroups, without any clinically relevant heterogeneity within or across all endpoint categories (all adjusted interaction P-values were non-significant). In the unadjusted analysis of the primary endpoint quality-of-life change, weak trends towards a less pronounced effect in older patients (Pinteraction = .03; adjusted Pinteraction = .33) and diabetics (Pinteraction = .01; adjusted Pinteraction = .06) were observed. However, these interaction effects did not persist after adjusting for multiple testing.

CONCLUSIONS

This subgroup analysis confirmed the consistent benefits of PA-guided HF therapy observed in the MONITOR-HF trial across clinically relevant subgroups, highlighting its efficacy in improving quality of life, clinical, and PA pressure endpoints in chronic HF patients.

Exploring Atrial Shunt Therapy for Heart Failure: A Comprehensive Review of the Atrial Coronary Sinus Shunt

Heart failure is a prevalent and severe medical condition characterized by the heart's inability to pump blood efficiently, leading to poor circulation and symptoms such as pulmonary congestion. Despite advancements in medical treatments, many patients continue to experience significant symptoms with reduced quality of life. This article explores the left atrial coronary sinus shunt as an innovative interventional strategy to address hemodynamic issues in heart failure. The shunt aims to decrease left atrial pressure and alleviate pulmonary congestion by creating a connection between the left atrium and the coronary sinus.

Detecting elevated left ventricular end diastolic pressure from simultaneously measured femoral pressure waveform and electrocardiogram

Objective.Instantaneous, non-invasive evaluation of left ventricular end-diastolic pressure (LVEDP) would have significant value in the diagnosis and treatment of heart failure. A new approach called cardiac triangle mapping (CTM) has been recently proposed, which can provide a non-invasive estimate of LVEDP. We hypothesized that a hybrid machine-learning (ML) method based on CTM can instantaneously identify an elevated LVEDP using simultaneously measured femoral pressure waveform and electrocardiogram (ECG).Approach.We studied 46 patients (Age: 39-90 (66.4 ± 9.9), BMI: 20.2-36.8 (27.6 ± 4.1), 12 females) scheduled for clinical left heart catheterizations or coronary angiograms at University of Southern California Keck Medical Center. Exclusion criteria included severe mitral/aortic valve disease; severe carotid stenosis; aortic abnormalities; ventricular paced rhythm; left bundle branch and anterior fascicular blocks; interventricular conduction delay; and atrial fibrillation. Invasive LVEDP and pressure waveforms at the iliac bifurcation were measured using transducer-tipped Millar catheters with simultaneous ECG. LVEDP range was 9.3-40.5 mmHg. LVEDP = 18 mmHg was used as cutoff. Random forest (RF) classifiers were trained using data from 36 patients and blindly tested on 10 patients.Main results.Our proposed ML classifier models accurately predict true LVEDP classes using appropriate physics-based features, where the most accurate demonstrates 100.0% (elevated) and 80.0% (normal) success in predicting true LVEDP classes on blind data.Significance.We demonstrated that physics-based ML models can instantaneously classify LVEDP using information from femoral waveforms and ECGs. Although an invasive validation, the required ML inputs can be potentially obtained non-invasively.

Seated Pulmonary Artery Pressure Monitoring in Patients With Heart Failure: Results of the PROACTIVE-HF Trial

BACKGROUND

Monitoring supine pulmonary artery pressures to guide heart failure (HF) management has reduced HF hospitalizations in select patients.

OBJECTIVES

The purpose of this study was to evaluate the effect of managing seated mean pulmonary artery pressure (mPAP) with the Cordella Pulmonary Artery sensor on outcomes in patients with HF.

METHODS

Following GUIDE-HF (Hemodynamic-GUIDEd Management of Heart Failure Trial), with U.S. Food and Drug Administration input, PROACTIVE-HF (A Prospective, Multi-Center, Open Label, Single Arm Clinical Trial Evaluating the Safety and Efficacy of the Cordella Pulmonary Artery Sensor System in NYHA Class III Heart Failure Patients trial) was changed from a randomized to a single-arm, open label trial, conducted at 75 centers in the USA and Europe. Eligible patients had chronic HF with NYHA functional class III symptoms, irrespective of the ejection fraction, and recent HF hospitalization and/or elevated natriuretic peptides. The primary effectiveness endpoint at 6 months required the HF hospitalization or all-cause mortality rate to be lower than a performance goal of 0.43 events/patient, established from previous hemodynamic monitoring trials. Primary safety endpoints at 6 months were freedom from device- or system-related complications or pressure sensor failure.

RESULTS

Between February 7, 2020, and March 31, 2023, 456 patients were successfully implanted in modified intent-to-treat cohort. The 6-month event rate was 0.15 (95% CI: 0.12-0.20) which was significantly lower than performance goal (0.15 vs 0.43; P < 0.0001). Freedom from device- or system-related complications was 99.2% and freedom from sensor failure was 99.8% through 6 months.

CONCLUSIONS

Remote management of seated mPAP is safe and results in a low rate of HF hospitalizations and mortality. These results support the use of seated mPAP monitoring and extend the growing body of evidence that pulmonary artery pressure-guided management improves outcomes in heart failure. (Multi-Center, Open Label, Single Arm Clinical Trial Evaluating the Safety and Efficacy of the Cordella Pulmonary Artery Sensor System in NYHA Class III Heart Failure Patients trial [PROACTIVE-HF]; NCT04089059).

Pulmonary hypertension associated to left heart disease: Phenotypes and treatment

Pulmonary hypertension associated to left heart disease (PH-LHD) refers to a clinical and haemodynamic condition of pulmonary hypertension associated with a heterogeneous group of diseases affecting any of the compartments that form the left ventricle and left atrium. PH-LHD is the most common cause of PH, accounting for 65-80 % of diagnoses. Based on the haemodynamic phase of the disease, PH-LDH is classified into three subgroups: postcapillary PH, isolated postcapillary PH and combined pre-postcapillary PH (CpcPH). Several signaling pathways involved in the regulation of vascular tone are dysfunctional in PH-LHD, including nitric oxide, MAP kinase and endothelin-1 pathways. These pathways are the same as those altered in PH group 1, however PH-LHD can heardly be treated by specific drugs that act on the pulmonary circulation. In this manuscript we provide a state of the art of the available clinical trials investigating the safety and efficacy of PAH-specific drugs, as well as drugs active in patients with heart failure and PH-LHD. We also discuss the different phenotypes of PH-LHD, as well as molecular targets and signaling pathways potentially involved in the pathophysiology of the disease. Finally we will mention some new emerging therapies that can be used to treat this form of PH.

Diuretic Treatment in Heart Failure: A Practical Guide for Clinicians

Congestion and fluid retention are the hallmarks of decompensated heart failure and the major reason for the hospitalization of patients with heart failure. Diuretics have been used in heart failure for decades, and they remain the backbone of the contemporary management of heart failure. Loop diuretics is the preferred diuretic, and it has been given a class I recommendation by clinical guidelines for the relief of congestion symptoms. Although loop diuretics have been used virtually among all patients with acute decompensated heart failure, there is still very limited clinical evidence to guide the optimized diuretics use. This is a sharp contrast to the rapidly growing evidence of the rest of the guideline-directed medical therapy of heart failure and calls for further studies. The loop diuretics possess a unique pharmacology and pharmacokinetics that lay the ground for different strategies to increase diuretic efficiency. However, many of these approaches have not been evaluated in randomized clinical trials. In recent years, a stepped and protocolized diuretics dosing has been suggested to have superior benefits over an individual clinician-based strategy. Diuretic resistance has been a major challenge to decongestion therapy for patients with heart failure and is associated with a poor clinical prognosis. Recently, therapy options have emerged to help overcome diuretic resistance to loop diuretics and have been evaluated in randomized clinical trials. In this review, we aim to provide a comprehensive review of the pharmacology and clinical use of loop diuretics in the context of heart failure, with attention to its side effects, and adjuncts, as well as the challenges and future direction.

Use of the CardioMEMS Device in Children and Patients with Congenital Heart Disease: A Literature Review

The CardioMEMS HF System (Abbott, Abbott Park, IL) is the first FDA- and CE-Mark-approved device for monitoring patients with heart failure, significantly reducing hospitalizations and improving the quality of life for NYHA class III non-congenital adult patients. This device, implanted percutaneously, allows the direct monitoring of pulmonary arterial pressure with the wireless transfer of pressure data to the clinician, who can adjust the therapy remotely. Limited experience exists regarding its use in patients with congenital heart disease (CHD). CardioMEMS device implantation is feasible and safe in selected adults and children with CHD. The potential of the device to reduce heart failure hospitalizations in this population is enormous, but further multi-center studies are needed to demonstrate its efficacy.

Association between early central venous pressure measurement and all-cause mortality in critically ill patients with heart failure: A cohort of 11,241 patients

Background

The timing of central venous pressure (CVP) measurement may play a crucial role in heart failure management, yet no studies have explored this aspect.

Methods

Clinical information pertaining to patients in critical condition with a diagnosis of heart failure was retrieved from the MIMIC-IV database. The association between initial measurements of central venous pressure (CVP) and the incidence of mortality from all causes was analyzed using the Cox proportional hazards approach. Subgroup analysis and propensity score matching were conducted for sensitivity analyses.

Results

This study included 11,241 participants (median age, 75 years; 44.70 % female). Utilizing restricted cubic spline and Kaplan-Meier survival analyses, it was determined that prognostic outcomes were better when CVP was measured within the initial 5-h window. Multivariate-adjusted 1-year (HR: 0.69; 95 % CI: 0.61-0.77), 90-day (HR: 0.70; 95 % CI: 0.62-0.80), and 30-day (HR: 0.67; 95 % CI: 0.57-0.78) all-cause mortalities were significantly lower in patients with early CVP measurement, which was proved robustly in subgroup analysis. Subsequent to the application of propensity score matching, a cohort of 1536 matched pairs was established, with the observed mortality rates continuing to be significantly lower among participants who underwent early CVP assessment.

Conclusions

Early CVP measurement (within 5 h) demonstrated an independent correlation with a decrease in both immediate and extended all-cause mortality rates among patients in critical condition suffering from heart failure.

Invasive Implanted Hemodynamic Monitoring in Patients With Complex Congenital Heart Disease: State-of-the-Art Review

As the number of patients with congenital heart disease (CHD) continues to increase, the burden of heart failure (HF) in this population requires innovative strategies to individualize management. Given the success of implanted invasive hemodynamic monitoring (IHM) with the CardioMEMSTM HF system in adults with acquired HF, this is often suggested for use in patients with CHD, though published data are limited to case reports and case series. Therefore, this review summarizes the available published reports on the use of IHM in patients with complex CHD, describes novel applications, and highlights future directions for study. In patients with CHD, IHM has been used across the lifespan, from age 3 years to adulthood, with minimal device-related complications reported. IHM uses include (1) prevention of HF hospitalizations; (2) reassessment of hemodynamics after titration of medical therapy without repeated cardiac catheterization; (3) serial monitoring of at-risk patients for pulmonary hypertension to optimize timing of heart transplant referral; (4) and hemodynamic assessment with exercise (5) or after ventricular assist device placement. IHM has the potential to reduce the number of cardiac catheterizations in anatomically complex patients and, in patients with Fontan circulation, IHM pressures may have prognostic implications. In conclusion, though further studies are needed, as patients with CHD age and HF is more prevalent, this tool may assist CHD physicians in caring for this complex patient population.

Clinical Trial Inclusion and Impact on Early Adoption of Medical Innovation in Diverse Populations

BACKGROUND

Inadequate inclusion in clinical trial enrollment may contribute to health inequities by evaluating interventions in cohorts that do not fully represent target populations.

OBJECTIVES

The aim of this study was to determine if characteristics of patients with heart failure (HF) enrolled in a pivotal trial are associated with who receives an intervention after approval.

METHODS

Demographics from 2,017,107 Medicare patients hospitalized for HF were compared with those of the first 10,631 Medicare beneficiaries who received implantable pulmonary artery pressure sensors. Characteristics of the population studied in the pivotal CHAMPION (CardioMEMS Heart Sensor Allows Monitoring of Pressure to Improve Outcomes in NYHA Class III Heart Failure Patients) clinical trial (n = 550) were compared with those of both groups. All demographic data were analyzed nationally and in 4 U.S. regions.

RESULTS

The Medicare HF cohort included 80.9% White, 13.3% African American, 1.9% Hispanic, 1.3% Asian, and 51.5% female patients. Medicare patients <65 years of age were more likely to be African American (33%) and male (58%), whereas older patients were mostly White (84%) and female (53%). Forty-one percent of U.S. HF hospitalizations occurred in the South; demographic characteristics varied significantly across all U.S. regions. The CHAMPION trial adequately represented African Americans (23% overall, 35% <65 years of age), Hispanic Americans (2%), and Asian Americans (1%) but underrepresented women (27%). The trial's population characteristics were similar to those of the first patients who received pulmonary artery sensors (82% White, 13% African American, 1% Asian, 1% Hispanic, and 29% female).

CONCLUSIONS

Demographics of Centers for Medicare and Medicaid Services beneficiaries hospitalized with HF vary regionally and by age, which should be considered when defining "adequate" representation in clinical studies. Enrollment diversity in clinical trials may affect who receives early application of recently approved innovations.

Dynamic risk stratification of worsening heart failure using a deep learning-enabled implanted ambulatory single-lead electrocardiogram

Aims

Implantable loop recorders (ILRs) provide continuous single-lead ambulatory electrocardiogram (aECG) monitoring. Whether these aECGs could be used to identify worsening heart failure (HF) is unknown.

Methods and results

We linked ILR aECG from Medtronic device database to the left ventricular ejection fraction (LVEF) measurements in Optum® de-identified electronic health record dataset. We trained an artificial intelligence (AI) algorithm [aECG-convolutional neural network (CNN)] on a dataset of 35 741 aECGs from 2247 patients to identify LVEF ≤ 40% and assessed its performance using the area under the receiver operating characteristic curve. Ambulatory electrocardiogram-CNN was then used to identify patients with increasing risk of HF hospitalization in a real-world cohort of 909 patients with prior HF diagnosis. This dataset provided 12 467 follow-up monthly evaluations, with 201 HF hospitalizations. For every month, time-series features from these predictions were used to categorize patients into high- and low-risk groups and predict HF hospitalization in the next month. The risk of HF hospitalization in the next 30 days was significantly higher in the cohort that aECG-CNN identified as high risk [hazard ratio (HR) 1.89; 95% confidence interval (CI) 1.28-2.79; P = 0.001] compared with low risk, even after adjusting patient demographics (HR 1.88; 95% CI 1.27-2.79 P = 0.002).

Conclusion

An AI algorithm trained to detect LVEF ≤40% using ILR aECGs can also readily identify patients at increased risk of HF hospitalizations by monitoring changes in the probability of HF over 30 days.

A rare case of CardioMEMS™ sensor migration

The CardioMEMS™ system remotely monitors changes in pulmonary artery pressures, which allows for early detection of heart failure worsening. It is a safe and reliable invasive monitoring system. We report a case in which there was a late migration of the device at 6 months of follow-up to the contralateral pulmonary artery. The mechanisms, consequences, and management of device migration are discussed. To our knowledge, there are very few published data on late sensor migration.

Effectiveness of remote pulmonary artery pressure estimating in heart failure: systematic review and meta-analysis

Heart failure (HF) poses a significant challenge, often leading to frequent hospitalizations and compromised quality of life. Continuous pulmonary artery pressure (PAP) monitoring offers a surrogate for congestion status in ambulatory HF care. This meta-analysis examines the efficacy of PAP monitoring devices (CardioMEMS and Chronicle) in preventing adverse outcomes in HF patients, addressing gaps in prior randomized controlled trials (RCTs). Five RCTs (2572 participants) were systematically reviewed. PAP monitoring significantly reduced HF-related hospitalizations (RR 0.72 [95% CI 0.6-0.87], p = 0.0006) and HF events (RR 0.86 [95% CI 0.75-0.99], p = 0.03), with no impact on all-cause or cardiovascular mortality. Subgroup analyses highlighted the significance of CardioMEMS and blinded studies. Meta-regression indicated a correlation between prolonged follow-up and increased reduction in HF hospitalizations. The risk of bias was generally high, with evidence certainty ranging from low to moderate. PAP monitoring devices exhibit promise in diminishing HF hospitalizations and events, especially in CardioMEMS and blinded studies. However, their influence on mortality remains inconclusive. Further research, considering diverse patient populations and intervention strategies with extended follow-up, is crucial for elucidating the optimal role of PAP monitoring in HF management.

Implementation of an epicardial implantable MEMS sensor for continuous and real-time postoperative assessment of left ventricular activity in adult minipigs over a short- and long-term period

The sensing of left ventricular (LV) activity is fundamental in the diagnosis and monitoring of cardiovascular health in high-risk patients after cardiac surgery to achieve better short- and long-term outcome. Conventional approaches rely on noninvasive measurements even if, in the latest years, invasive microelectromechanical systems (MEMS) sensors have emerged as a valuable approach for precise and continuous monitoring of cardiac activity. The main challenges in designing cardiac MEMS sensors are represented by miniaturization, biocompatibility, and long-term stability. Here, we present a MEMS piezoresistive cardiac sensor capable of continuous monitoring of LV activity over time following epicardial implantation with a pericardial patch graft in adult minipigs. In acute and chronic scenarios, the sensor was able to compute heart rate with a root mean square error lower than 2 BPM. Early after up to 1 month of implantation, the device was able to record the heart activity during the most important phases of the cardiac cycle (systole and diastole peaks). The sensor signal waveform, in addition, closely reflected the typical waveforms of pressure signal obtained via intraventricular catheters, offering a safer alternative to heart catheterization. Furthermore, histological analysis of the LV implantation site following sensor retrieval revealed no evidence of myocardial fibrosis. Our results suggest that the epicardial LV implantation of an MEMS sensor is a suitable and reliable approach for direct continuous monitoring of cardiac activity. This work envisions the use of this sensor as a cardiac sensing device in closed-loop applications for patients undergoing heart surgery.

Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors

BACKGROUND

Heart failure (HF) is the leading cause of hospitalization in individuals over 65 years of age. Identifying noninvasive methods to detect HF may address the epidemic of HF. Seismocardiography which measures cardiac vibrations transmitted to the chest wall has recently emerged as a promising technology to detect HF.

OBJECTIVES

In this multicenter study, the authors examined whether seismocardiography using commercially available smartphones can differentiate control subjects from patients with stage C HF.

METHODS

Both inpatients and outpatients with HF were enrolled from Finland and the United States. Inpatients with HF were assessed within 2 days of admission, and outpatients were assessed in the ambulatory setting. In a prespecified pooled data analysis, algorithms were derived using logistic regression and then validated using a bootstrap aggregation method.

RESULTS

A total of 217 participants with HF (174 inpatients and 172 outpatients) and 786 control subjects from cardiovascular clinics were enrolled. The mean age of participants with acute HF was 64 ± 13 years, 64.9% were male, left ventricular ejection fraction was 39% ± 15%, and median N-terminal pro-B-type natriuretic peptide was 5,778 ng/L (Q1-Q3: 1,933-6,703). The majority (74%) of participants with HF had reduced EF, and 38% had atrial fibrillation. Across both HF cohorts, the algorithms had an area under the receiver operating characteristic curve of 0.95 with a sensitivity of 85%, specificity of 90%, and accuracy of 89% for the detection of HF, with a decision threshold of 0.5. The positive and negative likelihood ratios were 8.50 and 0.17, respectively. The accuracy of the algorithms was not significantly different in subgroups based on age, sex, body mass index, and atrial fibrillation.

CONCLUSIONS

Smartphone-based assessment of cardiac function using seismocardiography is feasible and differentiates patients with HF from control subjects with high diagnostic accuracy. (Recognition of Heart Failure With Micro Electro-mechanical Sensors FI; NCT04444583; Recognition of Heart Failure With Micro Electro-mechanical Sensors [NCT04378179]; Detection of Coronary Artery Disease With Micro Electro-mechanical Sensors; NCT04290091).

Hemodynamic Monitoring of Pediatric Patients With Heart Failure and Pulmonary Hypertension Using CardioMEMS

Background

The CardioMEMS is an implantable device for hemodynamic monitoring approved by the US Food and Drug Administration for adult patients with heart failure. It has been used in the adult population without structural heart disease and with congenital heart diseases, but we do not have data in the pediatric population.

Methods

We report the initial single-center experience of the CardioMEMS implantation in children. Feasibility of device implantation, procedural outcomes, and clinical utility in the pediatric population were evaluated.

Results

The CardioMEMS device was implanted without technical complications in 8 pediatric patients (mean age 7 years and mean weight 27.9 kg) with pulmonary hypertension (6/8, 75%) and heart failure (2/8, 25%). The device was delivered via femoral access in 7 (85%) patients and implanted in the left pulmonary artery in 7 (85%). The noninvasive recording of pulmonary pressures in patients with pulmonary hypertension allowed the monitoring of the evolution of mean pulmonary artery pressure, intensifying vasodilator treatment, and avoiding control cardiac catheterizations. In patients with heart failure, pulmonary hemodynamic monitoring guided the decongestive treatment prior to heart transplantation.

Conclusions

The implantation of CardioMEMS in the pediatric population is a feasible procedure that allows the noninvasive hemodynamic monitoring of patients with heart failure and pulmonary hypertension. Its implementation in selected patients aids in outpatient follow-up and therapeutic management of patients with complex cardiac conditions, avoiding invasive procedures that require hospitalization. Further large-scale studies in the pediatric population are recommended.

Chest Intensive Care Unit Imaging: Pearls and Pitfalls

Imaging plays a major role in the care of the intensive care unit (ICU) patients. An understanding of the monitoring devices is essential for the interpretation of imaging studies. An awareness of their expected locations aids in identifying complications in a timely manner. This review describes the imaging of ICU monitoring and support catheters, tubes, and pulmonary and cardiac devices, some more commonly encountered and others that have been introduced into clinical patient care more recently. Special focus will be placed on chest radiography and potential pitfalls encountered.

Socioeconomic and Demographic Determinants of Readmission Rates in Congestive Heart Failure Patients: Insights From the Nationwide Readmissions Database

Background Congestive heart failure (CHF) is a leading cause of hospitalizations and readmissions, placing a significant burden on the healthcare system. Identifying factors associated with readmission risk is crucial for developing targeted interventions and improving patient outcomes. This study aimed to investigate the impact of socioeconomic and demographic factors on 30-day and 90-day readmission rates in patients primarily admitted for CHF. Methods The study was carried out using a cross-sectional study design, and the data were obtained from the Nationwide Readmissions Database (NRD) from 2016 to 2020. Adult patients with a primary diagnosis of CHF were included. The primary outcomes were 30-day and 90-day all-cause readmission rates. Multivariable logistic regression was used to identify factors independently associated with readmissions, including race, ethnicity, insurance status, income level, and living arrangements. Results A total of 219,904 patients with a primary diagnosis of CHF were used in the study. The overall 30-day and 90-day readmission rates were 17.3% and 23.1%, respectively. In multivariable analysis, factors independently associated with higher 30-day readmission risk included Hispanic ethnicity (OR 1.18, 95% CI 1.03-1.35), African American race (OR 1.15, 95% CI 1.04-1.28), Medicare insurance (OR 1.24, 95% CI 1.12-1.38), and urban residence (OR 1.11, 95% CI 1.02-1.21). Higher income was associated with lower readmission risk (OR 0.87, 95% CI 0.79-0.96 for highest vs. lowest quartile). Similar patterns were observed for 90-day readmissions. Conclusion Socioeconomic and demographic factors, including race, ethnicity, insurance status, income level, and living arrangements, significantly impact 30-day and 90-day readmission rates in patients with CHF. These findings highlight the need for targeted interventions and policies that address social determinants of health and promote health equity in the management of CHF. Future research should focus on developing and evaluating culturally sensitive, community-based strategies to reduce readmissions and improve outcomes for high-risk CHF patients.

Clinical Implications of Remote Dielectric Sensing-Guided Management

Background: Remote dielectric sensing (ReDS) systems can quantify the degree of pulmonary congestion rapidly and non-invasively. However, the clinical implications of ReDS-guided medication adjustment remain uncertain. Methods: Patients hospitalized to treat cardiovascular diseases, including heart failure, valvular disease, and coronary artery disease, and underwent ReDS measurement before index discharge between 2021 and 2022 were included. According to our institutional protocol, ReDS values were blinded to the attending clinicians until February 2022 (blind period). After the period, ReDS values were timely opened to the attending clinicians, and medications such as diuretics were adjusted according to the ReDS values (target value between 20% and 35%) before index discharge (open period). A composite primary outcome of all-cause death and heart failure readmissions was compared between the two groups. Results: A total of 183 patients were included (median 79 years old, 101 men), consisting of 138 patients in the blind period and 45 patients in the open period. During a median of 646 (401, 818) days after the index discharge, 33 patients experienced the primary outcome of interest. Management during the open period, where medications were adjusted according to ReDS values, was independently associated with a lower incidence of the primary outcome with an adjusted hazard ratio of 0.22 (95% confidence interval 0.05-0.94, p = 0.041), as compared with those of the blind period. Conclusions: According to the findings of the present retrospective study, ReDS-guided management may have the potential to reduce the risk of mortality and heart failure admission in individuals hospitalized for cardiovascular diagnoses. Further prospective randomized control trials involving those with a variety of background etiologies and clinical scenarios are warranted to validate our findings and establish optimal ReDS-guided management.