Heart Failure With Preserved Ejection FractionNCT05992558
Longitudinal Multimarker Risk Models for Very Elderly Patients With Heart Failure and Preserved Ejection Fraction
An observational study of Heart Failure With Preserved Ejection Fraction, run by Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal at 1 site in Spain.
Trial summary
The goal of this observational study is to develop longitudinal multimarker risk models for decision support during the clinical follow-up of very elderly patients with heart failure and preserved ejection fraction (HFpEF). Read more about this study
- Who is it for?
- Ages 80 years and older
- Conditions the study is for
- Heart Failure With Preserved Ejection Fraction
- How many people
- 175 participants
- Where
- 1 siteSpain
- Study dates
- 21 Mar 2023to 5 Feb 2026
- How long will I take part?
- 12 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
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 80 years and older
- All sexes
- No healthy volunteers
- Older adult
Study population: Very elderly patients (≥80 years old) with HFpEF consecutively admitted for acute HF at Hospital Universitario Ramón y Cajal and followed up at Unit of Heart Failure (UICA) of the Internal Medicine Dept.
Who may be able to join
- age ≥80 years;
- diagnosis of HFpEF, requiring the 4 following conditions: b1) typical symptoms and/or signs of HF; b2) left ventricular ejection fraction (LVEF) ≥50%; b3) elevated levels of natriuretic peptides (NTproBNP ≥300 pg/mL or BNP ≥100 pg/mL in sinus rhythm; NT-proBNP ≥900 pg/mL or BNP ≥300 pg/mL in atrial fibrillation); and b4) at least one additional criterion: b4.1) relevant structural heart disease (left ventricular hypertrophy and/or left atrial enlargement), or 4.2) diastolic dysfunction;
- hospitalization with a primary diagnosis of acute HF; and
- giving informed consent.
Who cannot join
- any clinical condition, such as HF secondary to congenital heart disease and severe valve disease, severe renal (requiring dialysis) and liver disease, active malignant diseases, autoimmune diseases, other diseases resulting in <1-year life expectancy or any other condition that, according to investigators' criteria, could significantly interfere with the study objectives;
- any clinical or social condition that prevents clinical follow-up.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Development of Longitudinal Multimarker Risk Models for Decision Support Across the Clinical Follow-up of Very Elderly Patients With Heart Failure and Preserved Ejection Fraction
The goal of this observational study is to develop longitudinal multimarker risk models for decision support during the clinical follow-up of very elderly patients with heart failure and preserved ejection fraction (HFpEF).
The main questions it aims to answer are:
Read more
- Can advanced risk prediction models accurately estimate the prognosis of very elderly patients with HFpEF over a 1-year follow-up after a hospitalization for acute heart failure?
- Do novel biomarkers, in addition to routine clinical variables and elderly-specific predictors, contribute to improved risk prediction for these patients?
To this end, very elderly patients (aged 80 or older) who have HFpEF and were admitted for acute heart failure will be included. Clinical and biological data will be collected during their hospitalization and also during follow-up visits 30 and 90 days after discharge.
There is no comparison group in this observational study.
Read the detailed description
Background: Very elderly patients with heart failure and preserved ejection fraction (HFpEF) are under-represented in risk prediction models, and the role of prognostic biomarkers in this population is unclear due to the presence of cumulative comorbidity burden. Risk prediction is a useful tool to support decision making across the clinical follow-up of very elderly HFpEF patients.
Aim: To develop longitudinal prognostic models based on readily available clinical and biological variables, novel biomarkers and elderly-specific predictors to estimate prognosis over 1-year follow-up after a HF hospitalization in very elderly patients with HFpEF.
Design: Observational, single-centre, prospective cohort study of very elderly patients (≥80 years old) with HFpEF consecutively admitted for acute HF.
Main outcome: Composite of 1-year all-cause mortality and/or HF-hospitalization. Sample size: 184 patients.
Follow-up time: 1 year. Predictors: Routine clinical variables (sociodemographic, medical history, physical examination, vital signs, laboratory tests, imaging, concomitant medication, quality of life and elderly-specific factors) and novel biomarkers will be longitudinally collected during index hospitalization, 30-day and 90-day post-discharge visits.
Statistical analysis: Kaplan-meier survival analysis. Logistic and Cox proportional-hazards regression models, time-to-event models for repeated events, linear-mixed effects, joint models, LASSO and machine learning techniques will be used for model development.
- Keywords
- Heart Failure, Preserved Ejection Fraction, Elderly, Prognostic model, Risk, Hospitalization
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Very elderly HFpEF | Prospective cohort of very elderly patients (≥80 years old) with heart failure with preserved ejection fraction (HFpEF) consecutively admitted for acute HF |
What is being measured
The primary outcome is the main question the study is designed to answer.
Composite of 1-year all-cause mortality and/or HF-hospitalization
Combined outcome of all-cause mortality and/or readmission for acute heart failure during a 12-month follow-up period after index hospitalization
Measured: 12 months
Secondary outcomes (12)
1-year HF-hospitalization
Readmission for acute heart failure during a 12-month follow-up period after index hospitalization
Measured: 12 months
3-month HF-hospitalization
Readmission for acute heart failure during a 3-month follow-up period after index hospitalization
Measured: 3 months
1-month HF-hospitalization
Readmission for acute heart failure during a 1-month follow-up period after index hospitalization
Measured: 1 month
1-year all-cause hospitalization
All-cause readmission during a 12-month follow-up period after index hospitalization
Measured: 12 months
3-month all-cause hospitalization
All-cause readmission during a 3-month follow-up period after index hospitalization
Measured: 3 months
1-month all-cause hospitalization
All-cause readmission during a 1-month follow-up period after index hospitalization
Measured: 1 month
1-year all-cause mortality
All-cause mortality during a 12-month follow-up period after index hospitalization
Measured: 12 months
1-year cardiovascular mortality
Cardiovascular mortality during a 12-month follow-up period after index hospitalization
Measured: 12 months
1-year urgent HF visits
Urgent or unscheduled visit with new or worsening symptoms of acute heart failure requiring initiation of intravenous diuretic or vasoactive agent or mechanical or surgical intervention, with no hospital admission, during a 12-month follow-up period after index hospitalization
Measured: 12 months
3-month urgent HF visits
Urgent or unscheduled visit with new or worsening symptoms of acute heart failure requiring initiation of intravenous diuretic or vasoactive agent or mechanical or surgical intervention, with no hospital admission, during a 3-month follow-up period after index hospitalization
Measured: 3 months
1-month urgent HF visits
Urgent or unscheduled visit with new or worsening symptoms of acute heart failure requiring initiation of intravenous diuretic or vasoactive agent or mechanical or surgical intervention, with no hospital admission, during a 1-month follow-up period after index hospitalization
Measured: 1 month
1-year worsening in NYHA class
Worsening of New York Heart Association (NYHA) Functional Classification (Class I to IV) at 12 months from the index hospitalization.
Measured: 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Aug 2023
- Study start21 Mar 2023
- Primary completion5 Feb 2026
- Study completion5 Feb 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for Heart Failure With Preserved Ejection FractionStudies of the same condition, open and under way.
- 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
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 175 participants (actual)
- Target duration
- 12 Months
Sponsor and investigators
- Lead sponsor
- Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal
- Sponsor type
- University, hospital or other
- Collaborators
- Instituto de Salud Carlos III, European Union
- Responsible party
- Sponsor
- Investigators
- Luis Manzano Espinosa, MD PhD, Principal investigator, Hospital Universitario Ramon y Cajal
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05992558
- Sponsor's protocol ID
- PI21/00541
- Status last verified
- Sep 2026
- First submitted
- 8 Aug 2023
- Last updated
- 21 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: After the end of the project, the generated dataset and the metadata file will be deposited in an open data repository, complying with open science criteria - FAIR. Moreover, study documentation, including study protocol, statistical analysis and informed consent form will be shared openly.
Publications
McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, Burri H, Butler J, Celutkiene J, Chioncel O, Cleland JGF, Coats AJS, Crespo-Leiro MG, Farmakis D, Gilard M, Heymans S, Hoes AW, Jaarsma T, Jankowska EA, Lainscak M, Lam CSP, Lyon AR, McMurray JJV, Mebazaa A, Mindham R, Muneretto C, Francesco Piepoli M, Price S, Rosano GMC, Ruschitzka F, Kathrine Skibelund A; ESC Scientific Document Group. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021 Sep 21;42(36):3599-3726. doi: 10.1093/eurheartj/ehab368. No abstract available.
PubMed 34447992Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, Deswal A, Drazner MH, Dunlay SM, Evers LR, Fang JC, Fedson SE, Fonarow GC, Hayek SS, Hernandez AF, Khazanie P, Kittleson MM, Lee CS, Link MS, Milano CA, Nnacheta LC, Sandhu AT, Stevenson LW, Vardeny O, Vest AR, Yancy CW. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2022 May 3;79(17):1757-1780. doi: 10.1016/j.jacc.2021.12.011. Epub 2022 Apr 1.
PubMed 35379504Taylor CJ, Moore J, O'Flynn N. Diagnosis and management of chronic heart failure: NICE guideline update 2018. Br J Gen Pract. 2019 May;69(682):265-266. doi: 10.3399/bjgp19X702665. No abstract available.
PubMed 31023695Sicras-Mainar A, Sicras-Navarro A, Palacios B, Varela L, Delgado JF. Epidemiology and treatment of heart failure in Spain: the HF-PATHWAYS study. Rev Esp Cardiol (Engl Ed). 2022 Jan;75(1):31-38. doi: 10.1016/j.rec.2020.09.033. Epub 2020 Dec 27. English, Spanish.
PubMed 33380382Kuster N, Huet F, Dupuy AM, Akodad M, Battistella P, Agullo A, Leclercq F, Kalmanovich E, Meilhac A, Aguilhon S, Cristol JP, Roubille F. Multimarker approach including CRP, sST2 and GDF-15 for prognostic stratification in stable heart failure. ESC Heart Fail. 2020 Oct;7(5):2230-2239. doi: 10.1002/ehf2.12680. Epub 2020 Jul 10.
PubMed 32649062Nunez J, Bayes-Genis A, Revuelta-Lopez E, Ter Maaten JM, Minana G, Barallat J, Cserkoova A, Bodi V, Fernandez-Cisnal A, Nunez E, Sanchis J, Lang C, Ng LL, Metra M, Voors AA. Clinical Role of CA125 in Worsening Heart Failure: A BIOSTAT-CHF Study Subanalysis. JACC Heart Fail. 2020 May;8(5):386-397. doi: 10.1016/j.jchf.2019.12.005. Epub 2020 Mar 11.
PubMed 32171764Pacho C, Domingo M, Nunez R, Lupon J, Nunez J, Barallat J, Moliner P, de Antonio M, Santesmases J, Cediel G, Roura S, Pastor MC, Tor J, Bayes-Genis A. Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients. BMC Geriatr. 2018 May 9;18(1):109. doi: 10.1186/s12877-018-0807-2.
PubMed 29743019Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole-Wilson PA, Mann DL, Packer M. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation. 2006 Mar 21;113(11):1424-33. doi: 10.1161/CIRCULATIONAHA.105.584102. Epub 2006 Mar 13.
PubMed 16534009
Study at a glance
From the registry record, last updated by the sponsor on 21 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development of Longitudinal Multimarker Risk Models for Decision Support Across the Clinical Follow-up of Very Elderly Patients With Heart Failure and Preserved Ejection Fraction
- ClinicalTrials.gov ID
- NCT05992558
- Acronym / sponsor ID
- PI21/00541
- Keywords
- Heart Failure, Preserved Ejection Fraction, Elderly, Prognostic model, Risk, Hospitalization
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 175 participants (actual)
- Lead sponsor
- Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y CajalUniversity, hospital or other
- Collaborators
- Instituto de Salud Carlos III, European Union
- Study start
- 21 Mar 2023 (actual)
- Primary completion
- 5 Feb 2026 (actual)
- Study completion
- 5 Feb 2026 (actual)
- First posted
- 15 Aug 2023 (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.
The goal of this observational study is to develop longitudinal multimarker risk models for decision support during the clinical follow-up of very elderly patients with heart failure and preserved ejection fraction (HFpEF).
The main questions it aims to answer are:
- Can advanced risk prediction models accurately estimate the prognosis of very elderly patients with HFpEF over a 1-year follow-up after a hospitalization for acute heart failure?
- Do novel biomarkers, in addition to routine clinical variables and elderly-specific predictors, contribute to improved risk prediction for these patients?
To this end, very elderly patients (aged 80 or older) who have HFpEF and were admitted for acute heart failure will be included. Clinical and biological data will be collected during their hospitalization and also during follow-up visits 30 and 90 days after discharge.
There is no comparison group in this observational study.
Detailed description
Background: Very elderly patients with heart failure and preserved ejection fraction (HFpEF) are under-represented in risk prediction models, and the role of prognostic biomarkers in this population is unclear due to the presence of cumulative comorbidity burden. Risk prediction is a useful tool to support decision making across the clinical follow-up of very elderly HFpEF patients.
Aim: To develop longitudinal prognostic models based on readily available clinical and biological variables, novel biomarkers and elderly-specific predictors to estimate prognosis over 1-year follow-up after a HF hospitalization in very elderly patients with HFpEF.
Design: Observational, single-centre, prospective cohort study of very elderly patients (≥80 years old) with HFpEF consecutively admitted for acute HF.
Main outcome: Composite of 1-year all-cause mortality and/or HF-hospitalization. Sample size: 184 patients.
Follow-up time: 1 year. Predictors: Routine clinical variables (sociodemographic, medical history, physical examination, vital signs, laboratory tests, imaging, concomitant medication, quality of life and elderly-specific factors) and novel biomarkers will be longitudinally collected during index hospitalization, 30-day and 90-day post-discharge visits.
Statistical analysis: Kaplan-meier survival analysis. Logistic and Cox proportional-hazards regression models, time-to-event models for repeated events, linear-mixed effects, joint models, LASSO and machine learning techniques will be used for model development.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 12 Months
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Very elderly HFpEF | – | –Prospective cohort of very elderly patients (≥80 years old) with heart failure with preserved ejection fraction (HFpEF) consecutively admitted for acute HF |
Who may qualify
- Ages
- 80 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
- Study population
- Very elderly patients (≥80 years old) with HFpEF consecutively admitted for acute HF at Hospital Universitario Ramón y Cajal and followed up at Unit of Heart Failure (UICA) of the Internal Medicine Dept.
Key inclusion criteria (4 listed)
- age ≥80 years;
- diagnosis of HFpEF, requiring the 4 following conditions: b1) typical symptoms and/or signs of HF; b2) left ventricular ejection fraction (LVEF) ≥50%; b3) elevated levels of natriuretic peptides (NTproBNP ≥300 pg/mL or BNP ≥100 pg/mL in sinus rhythm; NT-proBNP ≥900 pg/mL or BNP ≥300 pg/mL in atrial fibrillation); and b4) at least one additional criterion: b4.1) relevant structural heart disease (left ventricular hypertrophy and/or left atrial enlargement), or 4.2) diastolic dysfunction;
- hospitalization with a primary diagnosis of acute HF; and
- giving informed consent.
Key exclusion criteria (2 listed)
- any clinical condition, such as HF secondary to congenital heart disease and severe valve disease, severe renal (requiring dialysis) and liver disease, active malignant diseases, autoimmune diseases, other diseases resulting in <1-year life expectancy or any other condition that, according to investigators' criteria, could significantly interfere with the study objectives;
- any clinical or social condition that prevents clinical follow-up.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Composite of 1-year all-cause mortality and/or HF-hospitalization
Time frame: 12 months
Combined outcome of all-cause mortality and/or readmission for acute heart failure during a 12-month follow-up period after index hospitalization
12 secondary outcomes
1-year HF-hospitalization
Time frame: 12 months
3-month HF-hospitalization
Time frame: 3 months
1-month HF-hospitalization
Time frame: 1 month
1-year all-cause hospitalization
Time frame: 12 months
3-month all-cause hospitalization
Time frame: 3 months
1-month all-cause hospitalization
Time frame: 1 month
1-year all-cause mortality
Time frame: 12 months
1-year cardiovascular mortality
Time frame: 12 months
1-year urgent HF visits
Time frame: 12 months
3-month urgent HF visits
Time frame: 3 months
1-month urgent HF visits
Time frame: 1 month
1-year worsening in NYHA class
Time frame: 12 months
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Sep 2026.
- Background: PubMed 34447992McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, Burri H, Butler J, Celutkiene J, Chioncel O, Cleland JGF, Coats AJS, Crespo-Leiro MG, Farmakis D, Gilard M, Heymans S, Hoes AW, Jaarsma T, Jankowska EA, Lainscak M, Lam CSP, Lyon AR, McMurray JJV, Mebazaa A, Mindham R, Muneretto C, Francesco Piepoli M, Price S, Rosano GMC, Ruschitzka F, Kathrine Skibelund A; ESC Scientific Document Group. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021 Sep 21;42(36):3599-3726. doi: 10.1093/eurheartj/ehab368. No abstract available.
- Background: PubMed 35379504Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, Deswal A, Drazner MH, Dunlay SM, Evers LR, Fang JC, Fedson SE, Fonarow GC, Hayek SS, Hernandez AF, Khazanie P, Kittleson MM, Lee CS, Link MS, Milano CA, Nnacheta LC, Sandhu AT, Stevenson LW, Vardeny O, Vest AR, Yancy CW. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2022 May 3;79(17):1757-1780. doi: 10.1016/j.jacc.2021.12.011. Epub 2022 Apr 1.
- Background: PubMed 31023695Taylor CJ, Moore J, O'Flynn N. Diagnosis and management of chronic heart failure: NICE guideline update 2018. Br J Gen Pract. 2019 May;69(682):265-266. doi: 10.3399/bjgp19X702665. No abstract available.
- Background: PubMed 33380382Sicras-Mainar A, Sicras-Navarro A, Palacios B, Varela L, Delgado JF. Epidemiology and treatment of heart failure in Spain: the HF-PATHWAYS study. Rev Esp Cardiol (Engl Ed). 2022 Jan;75(1):31-38. doi: 10.1016/j.rec.2020.09.033. Epub 2020 Dec 27. English, Spanish.
- Background: PubMed 32649062Kuster N, Huet F, Dupuy AM, Akodad M, Battistella P, Agullo A, Leclercq F, Kalmanovich E, Meilhac A, Aguilhon S, Cristol JP, Roubille F. Multimarker approach including CRP, sST2 and GDF-15 for prognostic stratification in stable heart failure. ESC Heart Fail. 2020 Oct;7(5):2230-2239. doi: 10.1002/ehf2.12680. Epub 2020 Jul 10.
- Background: PubMed 32171764Nunez J, Bayes-Genis A, Revuelta-Lopez E, Ter Maaten JM, Minana G, Barallat J, Cserkoova A, Bodi V, Fernandez-Cisnal A, Nunez E, Sanchis J, Lang C, Ng LL, Metra M, Voors AA. Clinical Role of CA125 in Worsening Heart Failure: A BIOSTAT-CHF Study Subanalysis. JACC Heart Fail. 2020 May;8(5):386-397. doi: 10.1016/j.jchf.2019.12.005. Epub 2020 Mar 11.
- Background: PubMed 29743019Pacho C, Domingo M, Nunez R, Lupon J, Nunez J, Barallat J, Moliner P, de Antonio M, Santesmases J, Cediel G, Roura S, Pastor MC, Tor J, Bayes-Genis A. Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients. BMC Geriatr. 2018 May 9;18(1):109. doi: 10.1186/s12877-018-0807-2.
- Background: PubMed 16534009Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole-Wilson PA, Mann DL, Packer M. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation. 2006 Mar 21;113(11):1424-33. doi: 10.1161/CIRCULATIONAHA.105.584102. Epub 2006 Mar 13.
- Individual participant dataSharing planned: Yes. After the end of the project, the generated dataset and the metadata file will be deposited in an open data repository, complying with open science criteria - FAIR. Moreover, study documentation, including study protocol, statistical analysis and informed consent form will be shared openly.
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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. This study is not recruiting at the moment.
Luis Manzano Espinosa, MD PhD principal investigator
Hospital Universitario Ramon y Cajal
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Heart Failure With Preserved Ejection Fraction, run by Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal at 1 site in Spain.
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 4 inclusion and 2 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: finished, as of the sponsor's last update on 21 Sep 2026. 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 Spain. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Composite of 1-year all-cause mortality and/or HF-hospitalization (time frame: 12 months). 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 NCT05992558, which also lists 8 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 Sep 2026.