Heart FailureNCT04305717
Use of ReDS Technology in Patients With Acute Heart Failure
A study testing ReDS-guided strategy in people with Heart Failure and Lung Congestion, run by Icahn School of Medicine at Mount Sinai at 1 site in United States.
Trial summary
Background: Fluid overload, especially pulmonary congestion, is one of the main contributors into heart failure (HF) readmission risk and it is a clinical challenge for clinicians. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Heart Failure, Lung Congestion
- What is being tested?
- ReDS-guided strategy
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 240 participants
- Where
- 1 siteUnited States
- Study dates
- 14 Aug 2020to Dec 2021
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age ≥ 18 years old
- Currently hospitalized for a primary diagnosis of HF, including symptoms and signs of fluid overload, regardless of left ventricular ejection fraction (LVEF), and a NT-proBNP concentration of ≥ 400 pg/L or a BNP concentration of ≥ 100 pg/L
Who cannot join
- Patient characteristics excluded from approved use of ReDS system: height <155cm or >190cm, BMI <22 or >39
- Patients discharged on inotropes, or with a left ventricular assist device or cardiac transplantation
- Congenital heart malformations or intra-thoracic mass that would affect right-lung anatomy
- End stage renal disease on hemodialysis
- Life expectancy <12 months due to non-cardiac comorbidities
- Participating in another randomized study
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site, 1 recruiting
- Recruiting
Mount Sinai Hospital
New York, New York, 10029
Danielle Brunjes, 212-241-9886, danielle.brunjes@mountsinai.org
Donna M Mancini
About this study
Official title: Remote Dielectric Sensing (ReDS) for a SAFE Discharge in Patients With Acutely Decompensated Heart Failure: The ReDS-SAFE HF Study
Background: Fluid overload, especially pulmonary congestion, is one of the main contributors into heart failure (HF) readmission risk and it is a clinical challenge for clinicians. The Remote dielectric sensing (ReDS) system is a novel electromagnetic energy-based technology that can accurately quantify changes in lung fluid concentration noninvasively. Previous non-randomized studies suggest that ReDS-guided management has the potential to reduce readmissions in HF patients recently discharged from the hospital.
Aims: To test whether a ReDS-guided strategy during HF admission is superior to the standard of care during a 1-month follow up.
Read more
Methods: The ReDS-SAFE HF trial is an investigator-initiated, single center, single blind, 2-arm randomized clinical trial, in which ~240 inpatients with acutely decompensated HF at Mount Sinai Hospital will be randomized to a) standard of care strategy, with a discharge scheme based on current clinical practice, or b) ReDS-guided strategy, with a discharge scheme based on specific target value given by the device on top of the current clinical practice. ReDS tests will be performed for all study patients, but results will be blinded for treating physicians in the "standard of care" arm. The primary outcome will be a composite of unplanned visit for HF that lead to the use of intravenous diuretics, hospitalization for worsening HF, or death from any cause at 30 days after discharge. Secondary outcomes including the components of the primary outcome alone, length of stay, quality of life, time-averaged proportional change in the natriuretic peptides plasma levels, and safety events as symptomatic hypotension, diselectrolytemias or worsening of renal function.
Conclusions: The ReDS-SAFE HF trial will help to clarify the efficacy of a ReDS-guided strategy during HF-admission to improve the short-term prognosis of patients after a HF admission.
Read the detailed description
Heart failure (HF) is an increasing epidemic and a major public health priority, affecting more than 6 million patients in the United States of America (1). Specially, acutely decompensated HF (ADHF) is the most common cause of hospitalization in adults older than 65 years, and is associated with high rates of morbidity and mortality. Despite advances in pharmacological treatment and early follow-up programs in HF patients, readmission rates remain unacceptably high (2).
Fluid overload is a key feature in the pathophysiology of ADHF and residual congestion at the time of hospital discharge is one of the main contributors into readmission risk (3-5). Typically, fluid overload has been assessed through symptoms and signs, as well as other tools such as chest X-ray, plasma biomarkers, and echocardiography (6). However, these methods are subject to significant inter-observer variability and can be unreliable for various reasons. Furthermore, recent studies have shown that overt signs of clinical congestion correlate poorly with hemodynamic congestion assessed by invasive means. In recent years, invasive hemodynamic measurements to inform medical management of congestion facilitated by implantable pulmonary artery pressure sensors have been shown to reduce HF readmissions (7). Unfortunately, due to its invasive nature as well as reimbursement and insurance coverage issues, its widespread adoption has been limited.
Thus, the use of a non-invasive assessment of volume status to guide HF management and identify a state of "euvolemia" is an attractive tool, particularly during admission and early phase after discharge, which is a vulnerable period for recurrent congestion (8). The Remote dielectric sensing (ReDS) system is a novel electromagnetic energy-based technology that can accurately quantify changes in lung fluid concentration noninvasively (9). Though limited experience from non-randomized studies suggest that ReDS-guided management has the potential to reduce readmissions in ADHF patients recently discharged from the hospital (10, 11), nevertheless data to substantiate the employment of such as strategy is lacking. The study team hypothesizes that a ReDS-guided strategy to measure the percent of lung water volume as a surrogate of congestion during HF hospitalization will help to determine the appropriate timing of discharge and will accordingly be associated with a better short-term prognosis.
- Conditions
- Heart Failure, Lung Congestion
- Being tested
- ReDS-guided strategy
- Keywords
- Clinical trial, Lung congestion, Heart failure, Diuretics
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ReDS-guided strategyDevice
A discharge scheme based on specific target value given by the device
| Study group | Role | What they receive |
|---|---|---|
| ReDS-guided strategy | Experimental | For patients in this arm, daily measurements from the device will be revealed to the treating physician. Discharge can be planned when the clinical stability is achieved and the ReDS value is ≤35%. In case of a ReDS value >35%, treating physicians will follow a predefined algorithm before discharge to improve the results of ReDS test. Receives: Device: ReDS-guided strategy |
| Standard of care strategy | No intervention | The drugs dosage, especially diuretics, will be selected according to the presence of symptoms and signs of systemic congestion and according to current recommendations. All the daily ReDS measurements will be blinded to the treating physician. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Composite outcome
A composite of unplanned visit for ADHF that lead to the use of intravenous diuretics, hospitalization for worsening HF, or death from any cause at 30 days after discharge.
Measured: 30 days after discharge
Secondary outcomes (11)
Number of unplanned visits
Unplanned visits for worsening HF will be defined as visits to the emergency department or unscheduled visits to the HF unit as a result of signs and/or symptoms of worsening HF that required iv diuretic treatment or diuretic increase with a hospital stay of <24 h.
Measured: 30 days after discharge
Number of unplanned hospitalizations
Hospitalization for worsening HF will be defined as a stay in hospital for >24 h mainly as a result of signs and/or symptoms of worsening HF.
Measured: 30 days after discharge
Length of stay
Length of stay of index hospitalization
Measured: average of 7 days
Kansas City Cardiomyopathy Questionnaire (KCCQ)
QoL evaluated by the KCCQ test which is a 23-item, self-administered instrument. Full scale range from 0-100, with higher scores reflecting better health status
Measured: 7 days after discharge
New York Heart Association functional class
New York Heart Association functional classification from Class 1 (no symptom or limitation to Class IV (severe symptoms or severe limitation).
Measured: 7 days after discharge
Orthodema Scale
Signs of systemic congestion by Orthodema scale. Full scale from 0 to 4, with higher score indicating worse health outcomes.
Measured: 7 days after discharge
Breathlessness Visual Analog Scale
Signs of resolution of the breathlessness by visual analog scale. Full scale from 0 to 10, with higher score indicating better health outcomes.
Measured: 7 days after discharge
Change in NT-proBNP/BNP plasma levels
Time-averaged proportional change in the NT-proBNP/BNP plasma levels at 7 days after discharge as compared from baseline
Measured: baseline and 7 days after discharge
Serum Potassium
Serum potassium level to assess dyskalemia
Measured: 7 days after discharge
Change in Creatinine level
Change in creatinine from at 7 days after discharge as compared to baseline
Measured: baseline and 7 days after discharge
Systolic arterial pressure
Systolic arterial pressure to assess hypotension
Measured: 7 days after discharge
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Mar 2020
- Study start14 Aug 2020
- Primary completionDec 2021 (estimated)
- Study completionDec 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- More trials run by Icahn School of Medicine at Mount SinaiThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- The ReDS-SAFE HF trial is a 2-arm randomized clinical trial, in which inpatients with ADHF will be randomized to: 1. Standard of care strategy, with a discharge scheme based on current clinical practice, or 2. ReDS-guided strategy, with a discharge scheme based on specific target value given by the device.
- Masking
- Double blind
- Who is masked
- Participant, Outcomes assessor
- Enrolment
- 240 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Icahn School of Medicine at Mount Sinai
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Donna Mancini, Icahn School of Medicine at Mount Sinai
- Investigators
- Donna M Mancini, Principal investigator, Icahn School of Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04305717
- Sponsor's protocol ID
- GCO 19-2678
- Status last verified
- Feb 2021
- First submitted
- 10 Mar 2020
- Last updated
- 21 Feb 2021
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019 Mar 5;139(10):e56-e528. doi: 10.1161/CIR.0000000000000659. No abstract available.
PubMed 30700139Kociol RD, McNulty SE, Hernandez AF, Lee KL, Redfield MM, Tracy RP, Braunwald E, O'Connor CM, Felker GM; NHLBI Heart Failure Network Steering Committee and Investigators. Markers of decongestion, dyspnea relief, and clinical outcomes among patients hospitalized with acute heart failure. Circ Heart Fail. 2013 Mar;6(2):240-5. doi: 10.1161/CIRCHEARTFAILURE.112.969246. Epub 2012 Dec 18.
PubMed 23250981Gheorghiade M, Follath F, Ponikowski P, Barsuk JH, Blair JE, Cleland JG, Dickstein K, Drazner MH, Fonarow GC, Jaarsma T, Jondeau G, Sendon JL, Mebazaa A, Metra M, Nieminen M, Pang PS, Seferovic P, Stevenson LW, van Veldhuisen DJ, Zannad F, Anker SD, Rhodes A, McMurray JJ, Filippatos G; European Society of Cardiology; European Society of Intensive Care Medicine. Assessing and grading congestion in acute heart failure: a scientific statement from the acute heart failure committee of the heart failure association of the European Society of Cardiology and endorsed by the European Society of Intensive Care Medicine. Eur J Heart Fail. 2010 May;12(5):423-33. doi: 10.1093/eurjhf/hfq045. Epub 2010 Mar 30.
PubMed 20354029Amir O, Rappaport D, Zafrir B, Abraham WT. A novel approach to monitoring pulmonary congestion in heart failure: initial animal and clinical experiences using remote dielectric sensing technology. Congest Heart Fail. 2013 May-Jun;19(3):149-55. doi: 10.1111/chf.12021. Epub 2013 Jan 25.
PubMed 23350643Gargani L, Pang PS, Frassi F, Miglioranza MH, Dini FL, Landi P, Picano E. Persistent pulmonary congestion before discharge predicts rehospitalization in heart failure: a lung ultrasound study. Cardiovasc Ultrasound. 2015 Sep 4;13:40. doi: 10.1186/s12947-015-0033-4.
PubMed 26337295Abraham WT, Adamson PB, Bourge RC, Aaron MF, Costanzo MR, Stevenson LW, Strickland W, Neelagaru S, Raval N, Krueger S, Weiner S, Shavelle D, Jeffries B, Yadav JS; CHAMPION Trial Study Group. Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial. Lancet. 2011 Feb 19;377(9766):658-66. doi: 10.1016/S0140-6736(11)60101-3.
PubMed 21315441Amir O, Ben-Gal T, Weinstein JM, Schliamser J, Burkhoff D, Abbo A, Abraham WT. Evaluation of remote dielectric sensing (ReDS) technology-guided therapy for decreasing heart failure re-hospitalizations. Int J Cardiol. 2017 Aug 1;240:279-284. doi: 10.1016/j.ijcard.2017.02.120. Epub 2017 Mar 3.
PubMed 28341372Goldgrab D, Balakumaran K, Kim MJ, Tabtabai SR. Updates in heart failure 30-day readmission prevention. Heart Fail Rev. 2019 Mar;24(2):177-187. doi: 10.1007/s10741-018-9754-4.
PubMed 30488242Lala A, McNulty SE, Mentz RJ, Dunlay SM, Vader JM, AbouEzzeddine OF, DeVore AD, Khazanie P, Redfield MM, Goldsmith SR, Bart BA, Anstrom KJ, Felker GM, Hernandez AF, Stevenson LW. Relief and Recurrence of Congestion During and After Hospitalization for Acute Heart Failure: Insights From Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure (DOSE-AHF) and Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARESS-HF). Circ Heart Fail. 2015 Jul;8(4):741-8. doi: 10.1161/CIRCHEARTFAILURE.114.001957. Epub 2015 Jun 3.
PubMed 26041600Picano E, Gargani L, Gheorghiade M. Why, when, and how to assess pulmonary congestion in heart failure: pathophysiological, clinical, and methodological implications. Heart Fail Rev. 2010 Jan;15(1):63-72. doi: 10.1007/s10741-009-9148-8.
PubMed 19504345Barghash MH, Lala A, Giustino G, Parikh A, Ullman J, Mitter SS, et al. Use of Remote Dielectric Sensing (ReDS) as Point-of-Care Testing Following Heart Failure Hospitalization and Risk of 30-Day Readmission. J Hear Lung Transplant. 2019;38(4):S140-1
Alvarez-Garcia J, Lala A, Rivas-Lasarte M, De Rueda C, Brunjes D, Lozano-Jimenez S, Garcia-Sebastian C, Mitter S, Remior P, Jimenez-Blanco Bravo M, Del Prado S, Barghash M, Gonzalez-Ferrer E, Ullman J, Cobo M, Segovia-Cubero J, Zamorano JL, Pinney SP, Mancini D. Remote Dielectric Sensing Before and After Discharge in Patients With ADHF: The ReDS-SAFE HF Trial. JACC Heart Fail. 2024 Apr;12(4):695-706. doi: 10.1016/j.jchf.2024.01.002. Epub 2024 Feb 28.
PubMed 38430084
Study at a glance
From the registry record, last updated by the sponsor on 21 Feb 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Remote Dielectric Sensing (ReDS) for a SAFE Discharge in Patients With Acutely Decompensated Heart Failure: The ReDS-SAFE HF Study
- ClinicalTrials.gov ID
- NCT04305717
- Acronym / sponsor ID
- GCO 19-2678
- Conditions
- Heart Failure, Lung Congestion
- Keywords
- Clinical trial, Lung congestion, Heart failure, Diuretics
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 240 participants (estimated)
- Lead sponsor
- Icahn School of Medicine at Mount SinaiUniversity, hospital or other
- Study start
- 14 Aug 2020 (actual)
- Primary completion
- Dec 2021 (estimated)
- Study completion
- Dec 2021 (estimated)
- First posted
- 12 Mar 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Background: Fluid overload, especially pulmonary congestion, is one of the main contributors into heart failure (HF) readmission risk and it is a clinical challenge for clinicians. The Remote dielectric sensing (ReDS) system is a novel electromagnetic energy-based technology that can accurately quantify changes in lung fluid concentration noninvasively. Previous non-randomized studies suggest that ReDS-guided management has the potential to reduce readmissions in HF patients recently discharged from the hospital.
Aims: To test whether a ReDS-guided strategy during HF admission is superior to the standard of care during a 1-month follow up.
Methods: The ReDS-SAFE HF trial is an investigator-initiated, single center, single blind, 2-arm randomized clinical trial, in which ~240 inpatients with acutely decompensated HF at Mount Sinai Hospital will be randomized to a) standard of care strategy, with a discharge scheme based on current clinical practice, or b) ReDS-guided strategy, with a discharge scheme based on specific target value given by the device on top of the current clinical practice. ReDS tests will be performed for all study patients, but results will be blinded for treating physicians in the "standard of care" arm. The primary outcome will be a composite of unplanned visit for HF that lead to the use of intravenous diuretics, hospitalization for worsening HF, or death from any cause at 30 days after discharge. Secondary outcomes including the components of the primary outcome alone, length of stay, quality of life, time-averaged proportional change in the natriuretic peptides plasma levels, and safety events as symptomatic hypotension, diselectrolytemias or worsening of renal function.
Conclusions: The ReDS-SAFE HF trial will help to clarify the efficacy of a ReDS-guided strategy during HF-admission to improve the short-term prognosis of patients after a HF admission.
Detailed description
Heart failure (HF) is an increasing epidemic and a major public health priority, affecting more than 6 million patients in the United States of America (1). Specially, acutely decompensated HF (ADHF) is the most common cause of hospitalization in adults older than 65 years, and is associated with high rates of morbidity and mortality. Despite advances in pharmacological treatment and early follow-up programs in HF patients, readmission rates remain unacceptably high (2).
Fluid overload is a key feature in the pathophysiology of ADHF and residual congestion at the time of hospital discharge is one of the main contributors into readmission risk (3-5). Typically, fluid overload has been assessed through symptoms and signs, as well as other tools such as chest X-ray, plasma biomarkers, and echocardiography (6). However, these methods are subject to significant inter-observer variability and can be unreliable for various reasons. Furthermore, recent studies have shown that overt signs of clinical congestion correlate poorly with hemodynamic congestion assessed by invasive means. In recent years, invasive hemodynamic measurements to inform medical management of congestion facilitated by implantable pulmonary artery pressure sensors have been shown to reduce HF readmissions (7). Unfortunately, due to its invasive nature as well as reimbursement and insurance coverage issues, its widespread adoption has been limited.
Thus, the use of a non-invasive assessment of volume status to guide HF management and identify a state of "euvolemia" is an attractive tool, particularly during admission and early phase after discharge, which is a vulnerable period for recurrent congestion (8). The Remote dielectric sensing (ReDS) system is a novel electromagnetic energy-based technology that can accurately quantify changes in lung fluid concentration noninvasively (9). Though limited experience from non-randomized studies suggest that ReDS-guided management has the potential to reduce readmissions in ADHF patients recently discharged from the hospital (10, 11), nevertheless data to substantiate the employment of such as strategy is lacking. The study team hypothesizes that a ReDS-guided strategy to measure the percent of lung water volume as a surrogate of congestion during HF hospitalization will help to determine the appropriate timing of discharge and will accordingly be associated with a better short-term prognosis.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, outcomes assessor)
- Number of arms
- 2
- Model description
- The ReDS-SAFE HF trial is a 2-arm randomized clinical trial, in which inpatients with ADHF will be randomized to: 1. Standard of care strategy, with a discharge scheme based on current clinical practice, or 2. ReDS-guided strategy, with a discharge scheme based on specific target value given by the device.
| Arm | Type | Receives |
|---|---|---|
| ReDS-guided strategy | Experimental | Device: ReDS-guided strategyFor patients in this arm, daily measurements from the device will be revealed to the treating physician. Discharge can be planned when the clinical stability is achieved and the ReDS value is ≤35%. In case of a ReDS value >35%, treating physicians will follow a predefined algorithm before discharge to improve the results of ReDS test. |
| Standard of care strategy | No intervention | –The drugs dosage, especially diuretics, will be selected according to the presence of symptoms and signs of systemic congestion and according to current recommendations. All the daily ReDS measurements will be blinded to the treating physician. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Age ≥ 18 years old
- Currently hospitalized for a primary diagnosis of HF, including symptoms and signs of fluid overload, regardless of left ventricular ejection fraction (LVEF), and a NT-proBNP concentration of ≥ 400 pg/L or a BNP concentration of ≥ 100 pg/L
Key exclusion criteria (6 listed)
- Patient characteristics excluded from approved use of ReDS system: height <155cm or >190cm, BMI <22 or >39
- Patients discharged on inotropes, or with a left ventricular assist device or cardiac transplantation
- Congenital heart malformations or intra-thoracic mass that would affect right-lung anatomy
- End stage renal disease on hemodialysis
- Life expectancy <12 months due to non-cardiac comorbidities
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ReDS-guided strategyA discharge scheme based on specific target value given by the device | Device | ReDS-guided strategy |
Primary outcome
Composite outcome
Time frame: 30 days after discharge
A composite of unplanned visit for ADHF that lead to the use of intravenous diuretics, hospitalization for worsening HF, or death from any cause at 30 days after discharge.
11 secondary outcomes
Number of unplanned visits
Time frame: 30 days after discharge
Number of unplanned hospitalizations
Time frame: 30 days after discharge
Length of stay
Time frame: average of 7 days
Kansas City Cardiomyopathy Questionnaire (KCCQ)
Time frame: 7 days after discharge
New York Heart Association functional class
Time frame: 7 days after discharge
Orthodema Scale
Time frame: 7 days after discharge
Breathlessness Visual Analog Scale
Time frame: 7 days after discharge
Change in NT-proBNP/BNP plasma levels
Time frame: baseline and 7 days after discharge
Serum Potassium
Time frame: 7 days after discharge
Change in Creatinine level
Time frame: baseline and 7 days after discharge
Systolic arterial pressure
Time frame: 7 days after discharge
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Feb 2021.
- Background: PubMed 30700139Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019 Mar 5;139(10):e56-e528. doi: 10.1161/CIR.0000000000000659. No abstract available.
- Background: PubMed 23250981Kociol RD, McNulty SE, Hernandez AF, Lee KL, Redfield MM, Tracy RP, Braunwald E, O'Connor CM, Felker GM; NHLBI Heart Failure Network Steering Committee and Investigators. Markers of decongestion, dyspnea relief, and clinical outcomes among patients hospitalized with acute heart failure. Circ Heart Fail. 2013 Mar;6(2):240-5. doi: 10.1161/CIRCHEARTFAILURE.112.969246. Epub 2012 Dec 18.
- Background: PubMed 20354029Gheorghiade M, Follath F, Ponikowski P, Barsuk JH, Blair JE, Cleland JG, Dickstein K, Drazner MH, Fonarow GC, Jaarsma T, Jondeau G, Sendon JL, Mebazaa A, Metra M, Nieminen M, Pang PS, Seferovic P, Stevenson LW, van Veldhuisen DJ, Zannad F, Anker SD, Rhodes A, McMurray JJ, Filippatos G; European Society of Cardiology; European Society of Intensive Care Medicine. Assessing and grading congestion in acute heart failure: a scientific statement from the acute heart failure committee of the heart failure association of the European Society of Cardiology and endorsed by the European Society of Intensive Care Medicine. Eur J Heart Fail. 2010 May;12(5):423-33. doi: 10.1093/eurjhf/hfq045. Epub 2010 Mar 30.
- Background: PubMed 23350643Amir O, Rappaport D, Zafrir B, Abraham WT. A novel approach to monitoring pulmonary congestion in heart failure: initial animal and clinical experiences using remote dielectric sensing technology. Congest Heart Fail. 2013 May-Jun;19(3):149-55. doi: 10.1111/chf.12021. Epub 2013 Jan 25.
- Background: PubMed 26337295Gargani L, Pang PS, Frassi F, Miglioranza MH, Dini FL, Landi P, Picano E. Persistent pulmonary congestion before discharge predicts rehospitalization in heart failure: a lung ultrasound study. Cardiovasc Ultrasound. 2015 Sep 4;13:40. doi: 10.1186/s12947-015-0033-4.
- Background: PubMed 21315441Abraham WT, Adamson PB, Bourge RC, Aaron MF, Costanzo MR, Stevenson LW, Strickland W, Neelagaru S, Raval N, Krueger S, Weiner S, Shavelle D, Jeffries B, Yadav JS; CHAMPION Trial Study Group. Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial. Lancet. 2011 Feb 19;377(9766):658-66. doi: 10.1016/S0140-6736(11)60101-3.
- Background: PubMed 28341372Amir O, Ben-Gal T, Weinstein JM, Schliamser J, Burkhoff D, Abbo A, Abraham WT. Evaluation of remote dielectric sensing (ReDS) technology-guided therapy for decreasing heart failure re-hospitalizations. Int J Cardiol. 2017 Aug 1;240:279-284. doi: 10.1016/j.ijcard.2017.02.120. Epub 2017 Mar 3.
- Background: PubMed 30488242Goldgrab D, Balakumaran K, Kim MJ, Tabtabai SR. Updates in heart failure 30-day readmission prevention. Heart Fail Rev. 2019 Mar;24(2):177-187. doi: 10.1007/s10741-018-9754-4.
- Background: PubMed 26041600Lala A, McNulty SE, Mentz RJ, Dunlay SM, Vader JM, AbouEzzeddine OF, DeVore AD, Khazanie P, Redfield MM, Goldsmith SR, Bart BA, Anstrom KJ, Felker GM, Hernandez AF, Stevenson LW. Relief and Recurrence of Congestion During and After Hospitalization for Acute Heart Failure: Insights From Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure (DOSE-AHF) and Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARESS-HF). Circ Heart Fail. 2015 Jul;8(4):741-8. doi: 10.1161/CIRCHEARTFAILURE.114.001957. Epub 2015 Jun 3.
- Background: PubMed 19504345Picano E, Gargani L, Gheorghiade M. Why, when, and how to assess pulmonary congestion in heart failure: pathophysiological, clinical, and methodological implications. Heart Fail Rev. 2010 Jan;15(1):63-72. doi: 10.1007/s10741-009-9148-8.
- BackgroundBarghash MH, Lala A, Giustino G, Parikh A, Ullman J, Mitter SS, et al. Use of Remote Dielectric Sensing (ReDS) as Point-of-Care Testing Following Heart Failure Hospitalization and Risk of 30-Day Readmission. J Hear Lung Transplant. 2019;38(4):S140-1
- Derived from this study: PubMed 38430084Alvarez-Garcia J, Lala A, Rivas-Lasarte M, De Rueda C, Brunjes D, Lozano-Jimenez S, Garcia-Sebastian C, Mitter S, Remior P, Jimenez-Blanco Bravo M, Del Prado S, Barghash M, Gonzalez-Ferrer E, Ullman J, Cobo M, Segovia-Cubero J, Zamorano JL, Pinney SP, Mancini D. Remote Dielectric Sensing Before and After Discharge in Patients With ADHF: The ReDS-SAFE HF Trial. JACC Heart Fail. 2024 Apr;12(4):695-706. doi: 10.1016/j.jchf.2024.01.002. Epub 2024 Feb 28.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Donna M Mancini principal investigator
Icahn School of Medicine
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing ReDS-guided strategy in people with Heart Failure and Lung Congestion, run by Icahn School of Medicine at Mount Sinai at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 21 Feb 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Donna M Mancini (212-241-7673 ext. x47673, donna.mancini@mountsinai.org), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Composite outcome (time frame: 30 days after discharge). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04305717, which also lists 12 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Feb 2021.