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| ID | Type | Description | Link |
|---|---|---|---|
| 101253160 | Other Grant/Funding Number | Granting Authority :Innovative Health Initiative Joint Undertaking (IHI JU) and Funding Program: Horizon Europe |
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Heart failure is a condition in which the heart cannot pump blood effectively, often leading to symptoms such as shortness of breath and fluid retention. After hospitalization for heart failure, patients remain at high risk of worsening symptoms, emergency visits, and hospital readmission.
This study is designed to evaluate whether using a wearable monitoring device, called the Heart Failure Management System (HFMS), can help improve the management of patients after a recent hospitalization for heart failure.
Participants in this study will be randomly assigned to one of two groups. One group will receive standard medical care alone. The other group will receive standard medical care in combination with the HFMS device. The HFMS device is worn on the body and continuously collects information such as heart rate, breathing, activity level, and signs of fluid accumulation. These data are reviewed by the clinical care team and may help detect early worsening of heart failure.
Participants will wear the device for 90 days (if assigned to the device group) and will be followed for up to one year. During the study, information will be collected on serious health events such as death, hospitalizations, emergency visits, and changes in heart failure status, as well as quality of life.
The goal of this study is to determine whether this monitoring approach can improve outcomes for patients with heart failure by enabling earlier and more effective clinical management.
The REMODEL-HF study is a prospective, multi-center, randomized, open-label clinical investigation designed to evaluate whether the use of HFMS in addition to usual care improves clinical outcomes in patients recently hospitalized for acute heart failure.
Approximately 800 participants will be enrolled and randomized in a 1:1 ratio to either: standard of care alone (control group), or standard of care plus HFMS-guided management (intervention group).
The primary objective is to determine whether HFMS-guided management results in improved overall clinical outcomes compared to usual care. Outcomes of interest include major clinical events such as cardiovascular death and heart failure hospitalization, as well as earlier indicators of clinical deterioration and changes in relevant biomarkers.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control Group | No Intervention | Participants receive standard medical care for heart failure according to local clinical practice without use of the HFMS device. | |
| Intervention Group | Active Comparator | Participants receive standard medical care in addition to remote monitoring using the Heart Failure Management System (HFMS). Clinical teams review device data and may adjust treatment based on observed trends and alerts. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Wearable Monitoring Device for Heart Failure | Device | Participants assigned to the intervention group will use a noninvasive wearable physiological monitoring device (Heart Failure Management System, HFMS) designed to continuously collect data related to cardiopulmonary status, including heart rate, respiratory parameters, activity levels, and indicators of fluid status (Thoraic Fluid Index = TFI). Clinical care teams perform regular reviews of device-derived data and may respond to alerts or trends suggestive of worsening heart failure. Based on these data, the care team may adjust patient management, including modification of guideline-directed medical therapy or scheduling of follow-up assessments. The device does not deliver therapy and is used to support clinical decision-making in the outpatient management of heart failure. |
| Measure | Description | Time Frame |
|---|---|---|
| Hierarchical Composite Outcome (Win Ratio) | A hierarchical composite outcome comparing the intervention and control groups using a win ratio approach. The components are prioritized as follows: (1) cardiovascular death, (2) heart failure hospitalization, (3) Unplanned visit (emergency room or other emergency facilities) requiring intravenous diuretic treatment, and (4) change in NT-proBNP concentration. Participants are compared pairwise, with outcomes evaluated sequentially according to this hierarchy. | 90 days |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of Participants Achieving Target Doses of Guideline-Directed Medical Therapy (GDMT) | Percentage of participants reaching target doses of guideline-directed medical therapy for heart failure during the first 90 days after randomization. | 90 days |
| Quality of Life Assessed by KCCQ-12 |
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Inclusion Criteria:
Age ≥18 years
Ability and willingness to provide written informed consent and comply with study procedures
Hospital admission for acute heart failure with dyspnea at rest and pulmonary congestion on chest X-ray, and other signs and/or symptoms of heart failure such as edema and/or positive rales on auscultation.
All measures within 24 hours prior to randomization of systolic blood pressure ≥ 100 mmHg, and of heart rate ≥ 60 bpm.
All measures within 24 hours prior to randomization of serum potassium ≤ 5.5 mEq/L (mmol/L).
Biomarker criteria for persistent congestion:
At 1 week prior to admission, either (a) ≤ ½ the optimal dose of ACEi/ARB/ARNi (see Table) prescribed, no beta-blocker prescribed, and ≤ ½ the optimal dose of MRA prescribed or (b) no ACEi/ARB/ARNi prescribed, ≤ ½ the optimal dose of beta-blocker prescribed, and ≤ ½ the optimal dose of MRA prescribed. All study participants prescribed per label and commercially fit with the HFMS device will be eligible for enrollment.
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Manon Lemaire, Master | Contact | +33 (0)6 33 57 18 52 | mlemaire@zoll.com | |
| Lars Weber, PhD | Contact | +49 (0) 151 611 404 98 | lweber@zoll.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU Nancy | Nancy | Grand Est | 54000 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37216272 | Background | Scholte NTB, Gurgoze MT, Aydin D, Theuns DAMJ, Manintveld OC, Ronner E, Boersma E, de Boer RA, van der Boon RMA, Brugts JJ. Telemonitoring for heart failure: a meta-analysis. Eur Heart J. 2023 Aug 14;44(31):2911-2926. doi: 10.1093/eurheartj/ehad280. | |
| 36356631 | Background | Mebazaa A, Davison B, Chioncel O, Cohen-Solal A, Diaz R, Filippatos G, Metra M, Ponikowski P, Sliwa K, Voors AA, Edwards C, Novosadova M, Takagi K, Damasceno A, Saidu H, Gayat E, Pang PS, Celutkiene J, Cotter G. Safety, tolerability and efficacy of up-titration of guideline-directed medical therapies for acute heart failure (STRONG-HF): a multinational, open-label, randomised, trial. Lancet. 2022 Dec 3;400(10367):1938-1952. doi: 10.1016/S0140-6736(22)02076-1. Epub 2022 Nov 7. |
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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Change in health-related quality of life measured using validated questionnaire : the Kansas City Cardiomyopathy Questionnaire (KCCQ-12) |
| Baseline, 90 days,180 days and 365 days |
| Time to First Clinical Event Composite | Time to First Occurrence of Cardiovascular Death, Heart Failure Hospitalization, or Unplanned Visit Requiring Intravenous Diuretic Treatment | Up to 365 days |
| Quality of Life Assessed by EQ-5D-5L | Change in health-related quality of life measured using validated questionnaire : the EQ-5D-5L | Baseline, 90 days,180 days and 365 days |
| Hierarchical Composite Outcome (Win Ratio at 1 Year) | Hierarchical composite outcome using the same win ratio methodology as the primary endpoint, evaluated at 1 year. | 365 days |
| Cardiovascular Death | Occurrence of death due to cardiovascular causes. | 90 days and 365 days |
| Heart Failure Hospitalization | Occurrence of hospitalization due to heart failure. | 90 days and 365 days |
| Unplanned Visit Requiring Intravenous Diuretic Treatment | Occurrence of an unplanned visit requiring intravenous diuretic treatment. Scheduled or planned intravenous diuretic treatments are not considered events. | 90 days and 365 days |
| NT-proBNP Response | Change in NT-proBNP concentration from baseline. Response defined as ≥30% decrease from baseline. | Baseline to 90 days |
| Justus-Liebig University Giessen | Giessen | 35390 | Germany |
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| Policlinico Casilino | Roma | Italy |
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| UMC Utrecht | Utrecht | Netherlands |
| PIM MSWiA Hospital | Warsaw | Poland |
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| Hospital Universitario 12 de Octubre | Madrid | Spain |
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| Uppsala University Hospital | Uppsala | Sweden |
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| University Zurich | Zurich | Switzerland |
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| Southampton University Hospital NHS Foundation Trust | Southampton | United Kingdom |
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| 39387771 | Background | Boehmer JP, Cremer S, Abo-Auda WS, Stokes DR, Hadi A, McCann PJ, Burch AE, Bonderman D. Impact of a Novel Wearable Sensor on Heart Failure Rehospitalization: An Open-Label Concurrent-Control Clinical Trial. JACC Heart Fail. 2024 Dec;12(12):2011-2022. doi: 10.1016/j.jchf.2024.07.022. Epub 2024 Oct 9. |