- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05992558
Longitudinal Multimarker Risk Models for Very Elderly Patients With Heart Failure and Preserved Ejection Fraction
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:
- 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.
Study Overview
Status
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 Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Luis Manzano Espinosa, MD PhD
- Phone Number: 0034913369204
- Email: luis.manzano@uah.es
Study Contact Backup
- Name: Martin Fabregate Fuente, MEng
- Phone Number: 0034913369082
- Email: martin.fabregate@salud.madrid.org
Study Locations
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Madrid, Spain, 28034
- Recruiting
- Hospital Universitario Ramon y Cajal
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Contact:
- Luis Manzano Espinosa, MD PhD
- Phone Number: 0034913369204
- Email: luis.manzano@uah.es
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Contact:
- Martin Fabregate Fuente, MEng
- Phone Number: 0034636936650
- Email: martin.fabregate@salud.madrid.org
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Sub-Investigator:
- Jose María Fernández Rodríguez, MD
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Sub-Investigator:
- Pau Llácer Iborra, MD PhD
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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.
Exclusion Criteria:
- 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.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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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
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Composite of 1-year all-cause mortality and/or HF-hospitalization
Time Frame: 12 months
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Combined outcome of all-cause mortality and/or readmission for acute heart failure during a 12-month follow-up period after index hospitalization
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12 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
1-year HF-hospitalization
Time Frame: 12 months
|
Readmission for acute heart failure during a 12-month follow-up period after index hospitalization
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12 months
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3-month HF-hospitalization
Time Frame: 3 months
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Readmission for acute heart failure during a 3-month follow-up period after index hospitalization
|
3 months
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1-month HF-hospitalization
Time Frame: 1 month
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Readmission for acute heart failure during a 1-month follow-up period after index hospitalization
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1 month
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1-year all-cause hospitalization
Time Frame: 12 months
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All-cause readmission during a 12-month follow-up period after index hospitalization
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12 months
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3-month all-cause hospitalization
Time Frame: 3 months
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All-cause readmission during a 3-month follow-up period after index hospitalization
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3 months
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1-month all-cause hospitalization
Time Frame: 1 month
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All-cause readmission during a 1-month follow-up period after index hospitalization
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1 month
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1-year all-cause mortality
Time Frame: 12 months
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All-cause mortality during a 12-month follow-up period after index hospitalization
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12 months
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1-year cardiovascular mortality
Time Frame: 12 months
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Cardiovascular mortality during a 12-month follow-up period after index hospitalization
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12 months
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1-year urgent HF visits
Time Frame: 12 months
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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
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12 months
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3-month urgent HF visits
Time Frame: 3 months
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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
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3 months
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1-month urgent HF visits
Time Frame: 1 month
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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
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1 month
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1-year worsening in NYHA class
Time Frame: 12 months
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Worsening of New York Heart Association (NYHA) Functional Classification (Class I to IV) at 12 months from the index hospitalization.
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12 months
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Collaborators and Investigators
Investigators
- Principal Investigator: Luis Manzano Espinosa, MD PhD, Hospital Universitario Ramon y Cajal
Publications and helpful links
General 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. Erratum In: Eur Heart J. 2021 Oct 14;:
- Levy 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.
- Heidenreich 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.
- Taylor 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.
- Sicras-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.
- Kuster 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.
- Nunez 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.
- Pacho 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PI21/00541
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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.
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD will be available to stakeholders, authorities, ethics committees and other parties legitimately interested in verifying their proper treatment and management.
IPD may be used to ensure the scientific quality of the project results. That is to say, to carry out reproducibility of the results, if necessary at the request of scientific publication entities, among others, with prior authorization from the Research Ethics Committee, they may be reused for new research projects, provided that the consent collected allows it and/or in accordance with the applicable laws on data protection.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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