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| Name | Class |
|---|---|
| Duke Clinical Research Institute | OTHER |
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The main goal of this study is to use data from the Bodyport Cardiac Scale to help detect of worsening heart failure (HF) early.
The overarching goal of this prospective, multicenter study is to utilize data from the Bodyport Cardiac Scale to develop an index that allows for the early detection of worsening heart failure (HF). The Bodyport Cardiac Scale is capable of measuring key HF parameters of congestion and cardiac perfusion on a regular basis in a patient's home. These data will be combined into a composite index that may be used to identify patients at increased risk for decompensation, inform the reason for their decline, and offer the possibility to remotely optimize therapy to prevent further worsening HF.
The SCALE-HF program will consist of multiple phases. For SCALE-HF 1, patients will be prospectively enrolled and utilize the Bodyport Cardiac Scale on a daily basis. Patients and clinicians will be blinded to the results other than data readily available from other devices such as body weight. There will be no attempt to influence clinical practice. Patients will be followed remotely for suspected clinical events.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Bodyport Cardiac Scale | All subjects will be given the Bodyport Cardiac Scale to use |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Bodyport Cardiac Scale | Device | The Bodyport Cardiac Scale is capable of measuring key HF parameters of congestion and cardiac perfusion on a regular basis in a patient's home. These data will be combined into a composite index that may be used to identify patients at increased risk for decompensation, inform the reason for their decline, and offer the possibility to remotely optimize therapy to prevent further worsening HF. |
| Measure | Description | Time Frame |
|---|---|---|
| Number of Usable Worsening HF Events as Adjudicated by CEC | Worsening HF will be defined as a composite of the following: urgent, unscheduled clinic or emergency department visit or hospital admission with a primary diagnosis of HF in which the patient exhibited new or worsening symptoms of HF on presentation, had objective evidence of new or worsening HF, and received initiation or intensification of treatment for HF. | Approximately 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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Approximately 200-300 male and female participants in the US, 18 years of age or older, irrespective of left ventricular ejection fraction with symptomatic HF will be enrolled. Patients must be able to stand independently on the Bodyport scale.
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| Name | Affiliation | Role |
|---|---|---|
| Adam Devore, MD | Duke Clinical Research Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| RecioMed Clinical Research Network, Inc. | Boynton Beach | Florida | 33472 | United States | ||
| Cardiovascular Institute of Northwest Florida |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24491689 | Background | Ambrosy AP, Fonarow GC, Butler J, Chioncel O, Greene SJ, Vaduganathan M, Nodari S, Lam CSP, Sato N, Shah AN, Gheorghiade M. The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries. J Am Coll Cardiol. 2014 Apr 1;63(12):1123-1133. doi: 10.1016/j.jacc.2013.11.053. Epub 2014 Feb 5. | |
| 29174292 |
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| ID | Title | Description |
|---|---|---|
| FG000 | Bodyport Scale | All subjects will be given the Bodyport scale to use Bodyport Scale: The Bodyport scale is capable of measuring key HF parameters of congestion and cardiac perfusion on a regular basis in a patient's home. These data will be combined into a composite index that may be used to identify patients at increased risk for decompensation, inform the reason for their decline, and offer the possibility to remotely optimize therapy to prevent further worsening HF. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | Bodyport Scale | All subjects will be given the Bodyport scale to use Bodyport Scale: The Bodyport scale is capable of measuring key HF parameters of congestion and cardiac perfusion on a regular basis in a patient's home. These data will be combined into a composite index that may be used to identify patients at increased risk for decompensation, inform the reason for their decline, and offer the possibility to remotely optimize therapy to prevent further worsening HF. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Number of Usable Worsening HF Events as Adjudicated by CEC | Worsening HF will be defined as a composite of the following: urgent, unscheduled clinic or emergency department visit or hospital admission with a primary diagnosis of HF in which the patient exhibited new or worsening symptoms of HF on presentation, had objective evidence of new or worsening HF, and received initiation or intensification of treatment for HF. | Posted | Number | Adjudicated Events | Approximately 1 year |
|
Not Applicable, adverse event data were not collected for this study.
As this is a non-significant risk device study with no safety endpoint, adverse events were not collected for this study. Due to no AE forms and no safety criteria in this observational study, all metrics related to AE Reporting (SAE and Other AE) are listed as 0.
Patient outcomes were collected for the duration of follow-up (1 year), which include re-hospitalizations and patient deaths as a result of the natural worsening of patients' initial disease state.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Bodyport Scale | All subjects will be given the Bodyport scale to use Bodyport Scale: The Bodyport scale is capable of measuring key HF parameters of congestion and cardiac perfusion on a regular basis in a patient's home. These data will be combined into a composite index that may be used to identify patients at increased risk for decompensation, inform the reason for their decline, and offer the possibility to remotely optimize therapy to prevent further worsening HF. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dorothy Kwok, Head of Clinical Operations | Bodyport Inc. | 669-240-3077 | dorothy@bodyport.com |
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Mar 2, 2021 | Sep 17, 2024 | Prot_000.pdf |
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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|
|
| Panama City |
| Florida |
| 32405 |
| United States |
| The Heart Center of Northeast Georgia Medical Center | Gainesville | Georgia | 30501 | United States |
| University of Kansas School of Medicine | Kansas City | Kansas | 66160 | United States |
| Wayne State University | Detroit | Michigan | 48201 | United States |
| Duke University Medical Center | Durham | North Carolina | 27710 | United States |
| Temple University - Lewis Katz School of Medicine | Philadelphia | Pennsylvania | 19140 | United States |
| Self Regional Healthcare Research Center | Hodges | South Carolina | 29653 | United States |
| Conrad N, Judge A, Tran J, Mohseni H, Hedgecott D, Crespillo AP, Allison M, Hemingway H, Cleland JG, McMurray JJV, Rahimi K. Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals. Lancet. 2018 Feb 10;391(10120):572-580. doi: 10.1016/S0140-6736(17)32520-5. Epub 2017 Nov 21. |
| 16630997 | Background | Cleland JG, Charlesworth A, Lubsen J, Swedberg K, Remme WJ, Erhardt L, Di Lenarda A, Komajda M, Metra M, Torp-Pedersen C, Poole-Wilson PA; COMET Investigators. A comparison of the effects of carvedilol and metoprolol on well-being, morbidity, and mortality (the "patient journey") in patients with heart failure: a report from the Carvedilol Or Metoprolol European Trial (COMET). J Am Coll Cardiol. 2006 Apr 18;47(8):1603-11. doi: 10.1016/j.jacc.2005.11.069. Epub 2006 Mar 29. |
| 22168643 | Background | Epstein AM, Jha AK, Orav EJ. The relationship between hospital admission rates and rehospitalizations. N Engl J Med. 2011 Dec 15;365(24):2287-95. doi: 10.1056/NEJMsa1101942. |
| 28834628 | Background | Cowie MR, Anker SD, Cleland JGF, Felker GM, Filippatos G, Jaarsma T, Jourdain P, Knight E, Massie B, Ponikowski P, Lopez-Sendon J. Improving care for patients with acute heart failure: before, during and after hospitalization. ESC Heart Fail. 2014 Dec;1(2):110-145. doi: 10.1002/ehf2.12021. Epub 2015 Jan 21. |
| 27886926 | Background | Soundarraj D, Singh V, Satija V, Thakur RK. Containing the Cost of Heart Failure Management: A Focus on Reducing Readmissions. Heart Fail Clin. 2017 Jan;13(1):21-28. doi: 10.1016/j.hfc.2016.07.002. |
| 28122885 | Background | Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017 Mar 7;135(10):e146-e603. doi: 10.1161/CIR.0000000000000485. Epub 2017 Jan 25. No abstract available. |
| 41061788 | Derived | Ozonat K, Centen C, Smith S, Aydemir VB, Fudim M, DeVore AD. Bioimpedance phase angle is associated with increased heart failure hospitalization risk. Am Heart J. 2026 Feb;292:107288. doi: 10.1016/j.ahj.2025.107288. Epub 2025 Oct 7. |
| 39299540 | Derived | Fudim M, Egolum U, Haghighat A, Kottam A, Sauer AJ, Shah H, Kumar P, Rakita V, Lopes RD, Centen C, Ozonat K, Smith S, Pandit J, DeVORE AD. Surveillance and Alert-based Multiparameter Monitoring to Reduce Worsening Heart Failure Events: Results From SCALE-HF 1. J Card Fail. 2025 Apr;31(4):661-675. doi: 10.1016/j.cardfail.2024.08.050. Epub 2024 Sep 17. |
| 37192288 | Derived | Fudim M, Yazdi D, Egolum U, Haghighat A, Kottam A, Sauer AJ, Shah H, Kumar P, Rakita V, Centen C, Ozonat K, Smith S, DeVore AD. Use of a Cardiac Scale to Predict Heart Failure Events: Design of SCALE-HF 1. Circ Heart Fail. 2023 May;16(5):e010012. doi: 10.1161/CIRCHEARTFAILURE.122.010012. Epub 2023 May 16. |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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| Body Mass Index (BMI) | Mean | Standard Deviation | kg/m^2 |
|
| Left Ventricular Ejection Fraction | Count of Participants | Participants |
|
|
|
| 26 |
| 329 |
| 0 |
| 0 |
| 0 |
| 0 |
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